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  • 2020-2024  (164,641)
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  • 1
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    Boletín CTN Diocean No. 3 / 2023 (2024)
    Comisión Colombiana del Océano | Bogotá D.C., Colombia
    Details
    Publication Date: 2024-04-27
    Description: Hace tres años atrás el Comité Técnico Nacional de Coordinación de Datos e Información Oceánicos (CTN Diocean) de la Comisión Colombiana del Océano (CCO), estableció un plan de trabajo que abarca cinco años de actividades institucionales para fortalecer la gestión de estos importantes activos del país. Para entonces se tuvieron en cuenta diferentes estrategias como línea base para definir las tareas a desarrollar, y en la actualidad es gratificante para miembros e invitados permanentes confirmar, que lo planeado sigue vigente y acorde con los desafíos del ‘Decenio de las Ciencias Oceánicas para el Desarrollo Sostenible’, las necesidades de la comunidad y los recientes lineamientos de política nacionales e internacionales. En el presente número del Boletín CTN Diocean, se destacan entre otros, dos reconocimientos logrados en el nivel internacional por parte de instituciones que hacen parte del comité y que le aportan al fortalecimiento de la gestión de datos oceánicos de Colombia: el primero, los datos abiertos oceanográficos como una actividad del ‘Decenio de las Ciencias Oceánicas para el Desarrollo Sostenible’ de la Comisión Oceanográfica Intergubernamental (COI); y el segundo, la copresidencia para el periodo entre sesiones 2023-2025 del programa para el Intercambio Internacional de Datos Oceanográficos (COI-IODE) junto con Suecia, en el marco de la cual se inició la asesoría con nuestros hermanos panameños en la materia.
    Description: Published
    Description: Not Known
    Keywords: Acceso abierto ; Usuario de información ; Gestión de la información ; Base de datos ; Sistema de información ; Organización y gestión ; ASFA_2015::G::Geographic information systems ; ASFA_2015::I::Information centres ; ASFA_2015::D::Databases ; ASFA_2015::I::Information handling
    Repository Name: AquaDocs
    Type: Book/Monograph/Conference Proceedings
    Format: 29
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  • 2
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    Efeitos de ações antrópicas sobre as interações bióticas entre os peixes de uma planície de inundação Neotropical: alterações nos padrões de coocorrência de espécies. (2024)
    Universidade Estadual de Maringá. Departamento de Biologia. Programa de Pós-Graduação em Ecologia de Ambientes Aquáticos Continentais
    Details
    Publication Date: 2024-04-27
    Description: The freshwater ichthyofauna is largely threatened by the anthropogenic impacts in these ecosystems. The climatic changes caused by human actions and dams’ constructions concerningly affects the freshwater fishes, including its biotic interactions network. Thus, this work aimed at evaluating the Upper Paraná River floodplain’s (UPRF) ichthyofauna under the impacts caused by climate changes, years of extreme drought an extreme flood, and under the impacts caused by the construction of an upstream dam, the Sérgio Motta Hydroelectric Power Plant, Brazil. The sampled years were classified in extreme drought, neutral and extreme flood, according to the predominant characteristics of its hydrological regime, and in pré-damming years, before the upstream hydroelectric power plant construction and reservoir’s flooding, and post-damming years. The abiotic and hydrometric variables were concurrently sampled with the abundance of fish species, allowing to exclude the environmental variables’ effects over the species’ cooccurrence, using multivariate generalized linear models with latent variables. The force of the interspecific biotic interactions was obtained through cooccurrence values for each pair of species, visualized through negative, neutral, and positive values. Regarding the results involving the hydrological regime influence, it was observed differences between drought, neutral and flood years, with stronger cooccurrence values between the UPRF’s ichthyofauna in drought years (for positive and negative values). Regarding the results involving the construction of the UPRF’s upstream dam, it was observed differences comparing the pré-damming and post-damming years cooccurrence patters, with predominantly positive values in post-damming years, and predominantly neutral cooccurrences in pré-damming years. These work results indicate the increment of the cooccurrence values between a floodplain’s fish species due to extreme droughts and upstream dams’ constructions, once the cooccurrence values were more intense under these conditions. Stands out the importance of biotic interactions for the elaboration of management plans and freshwater species conservation in response to anthropogenic actions.
    Description: A ictiofauna de ambientes de água doce se encontra amplamente ameaçada por ações antrópicas. As mudanças climáticas e a construção de barragens afetam os peixes de água doce e suas redes de interações bióticas. Neste contexto, este estudo avaliou a ictiofauna da planície de inundação do alto rio Paraná (PIARP) sob os impactos de mudanças climáticas, épocas de secas e cheias extremas, e sob os impactos causados pela construção de uma barragem a montante, a Usina Hidrelétrica Sérgio Motta, Brasil. Os anos amostrados foram classificados em anos de seca extrema, neutros e de cheia extrema, de acordo com as condições predominantes de seu regime hidrológico, e em anos de pré-barramento, antes da construção e inundação do reservatório da usina hidrelétrica a montante, e pós-barramento. As variáveis abióticas e variáveis hidrométricas foram amostradas concomitantemente com a abundância das espécies de peixe, permitindo excluir o efeito das variáveis ambientais sobre a ocorrência das espécies, com o uso de modelos lineares generalizados multivariados de variáveis latentes. Obteve-se a força das interações bióticas interespecíficas pelos valores de coocorrência, positivos ou negativos, entre cada par de espécies. Com relação aos resultados envolvendo a influência dos regimes hidrológicos, foram encontradas diferenças nos valores médios de coocorrência entre anos de seca extrema, anos neutros e anos de cheia extrema, indicando que os valores de coocorrência são mais fortes entre a ictiofauna da PIARP (tanto interações positivas quanto negativas) em anos de seca. Para os efeitos da construção da barragem a montante da PIARP, observou-se diferenças entre os padrões de coocorrência de espécies antes e após a sua construção, indicando valores de coocorrência predominantemente positivos no período pós-barramento, e coocorrências predominantemente neutras no período pré-barramento. Os resultados indicam incremento nos padrões de coocorrência entre as espécies de peixes da planície de inundação frente secas extremas e construção de barragens a montante, uma vez que os valores de coocorrência foram mais intensos sob essas condições. Destaca-se a importância das interações bióticas em resposta às ações antrópicas para a elaboração de planos de manejo e para a conservação das espécies de peixes de água doce.
    Description: PhD
    Keywords: Peixes de água doce ; Comunidades, Ecologia de ; Interações bióticas ; Ações antrópicas ; Coocorrência de espécies ; Variáveis ambientais ; Variáveis hidrométricas ; Generalized linear latent variable models (GLLVM) ; ASFA_2015::F::Freshwater ecology ; ASFA_2015::F::Freshwater fish ; ASFA_2015::C::Communities (ecological) ; ASFA_2015::I::Interactions ; ASFA_2015::A::Anthropogenic factors ; ASFA_2015::S::Species diversity ; ASFA_2015::E::Environmental factors ; ASFA_2015::H::Hydrometers
    Repository Name: AquaDocs
    Type: Thesis/Dissertation
    Format: 71pp.
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  • 3
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    Classification of a high latitude bog using multispectral drone imagery (2023)
    In:  EPIC3
    Details
    Publication Date: 2024-04-27
    Description: Peatlands store and emit large amounts of greenhouse gases. With the climate changing due to global warming, measuring these emissions helps to get a better understanding of the role of peatlands in the global carbon cycle. Measurements at a bog site of the Siikaneva peatland show that the emissions vary along the different microtopographies shaped by their vegetation and ground water level. To upscale these measurements, a supervised classification of the study area was implemented in this study by testing a method that uses high-resolution multispectral aerial imagery, captured by a UAV (Uncrewed Aerial Vehicle), and a Random Forest classifier. A cohesive orthomosaic of the study area was produced, training data were generated to adjust the Random Forest model, and the study area was classified. The results show that the applied methods were successful in generating a multispectral orthomosaic as well as a classified raster of the study area. A mean classification accuracy of 75.7 % was achieved, which can be considered as a good result. Misclassification rates of neighboring microtopographies with similar vegetation could be mitigated by utilizing a LiDAR (Light Detection and Ranging) sensor in further studies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev
    Format: application/pdf
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  • 4
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    Dieback and decline pathogens of olive trees in South Africa (2020)
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 196-220
    Details
    Publication Date: 2024-04-27
    Description: Trunk disease fungal pathogens reduce olive production globally by causing cankers, dieback, and other decline-related symptoms on olive trees. Very few fungi have been reported in association with olive dieback and decline in South Africa. Many of the fungal species reported from symptomatic olive trees in other countries have broad host ranges and are known to occur on other woody host plants in the Western Cape province, the main olive production region of South Africa. This survey investigated the diversity of fungi and symptoms associated with olive dieback and decline in South Africa. Isolations were made from internal wood symptoms of 145 European and 42 wild olive trees sampled in 10 and 9 districts, respectively. A total of 99 taxa were identified among 440 fungal isolates using combinations of morphological and molecular techniques. A new species of Pseudophaeomoniella, P. globosa, had the highest incidence, being recovered from 42.8 % of European and 54.8 % of wild olive samples. This species was recovered from 9 of the 10 districts where European olive trees were sampled and from all districts where wild olive trees were sampled. Members of the Phaeomoniellales (mainly P. globosa) were the most prevalent fungi in five of the seven symptom types considered, the only exceptions being twig dieback, where members of the Botryosphaeriaceae were more common, and soft/white rot where only Basidiomycota were recovered. Several of the species identified are known as pathogens of olives or other woody crops either in South Africa or elsewhere in the world, including species of Neofusicoccum, Phaeoacremonium, and Pleurostoma richardsiae. However, 81 of the 99 taxa identified have not previously been recorded on olive trees and have unknown interactions with this host. These taxa include one new genus and several putative new species, of which four are formally described as Celerioriella umnquma sp. nov., Pseudophaeomoniella globosa sp. nov., Vredendaliella oleae gen. & sp. nov., and Xenocylindrosporium margaritarum sp. nov.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; Celerioriella ; five new taxa ; Olea europaea subsp. cuspidata ; Olea europaea subsp. europaea ; phylogenetics ; Pseudophaeomoniella ; taxonomy ; Vredendaliella ; Xenocylindrosporium
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 5
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    Resistivity and permeability of core samples from the Samail ophiolite, Oman (Oman Drilling Project) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset presents analyses of resistivity and permeability of core samples collected by the Oman drilling project (Samail ophiolite). Resistivity was measured using impedance analyzer (Agilent 4294A) at the drilling vessel Chikyu, and permeability was calculated from the Hashin-Shtrikman upper bound and the cubic law between permeability and porosity.
    Keywords: CDRILL; Core drilling; DEPTH, sediment/rock; Event label; Latitude of event; Lithology/composition/facies; Longitude of event; Oman; OmanDP; OmanDP_BA1B; OmanDP_BA4A; OmanDP_CM1A; Oman Drilling Project; ophiolite; permeability; Permeability (earth science); resistivity; Resistivity, dry; Resistivity, wet
    Type: Dataset
    Format: text/tab-separated-values, 1623 data points
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  • 6
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    Organic matter composition of the water column in mesocosm study (Bergen 2011) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: During the ocean acidification study in Bergen (2011) we measured concentrations of dissolved organic carbon (DOC) and nitrogen (DOC) as well as concentrations of total and dissolved amino acids and carbohydrates including individual compounds in mesocosms.
    Keywords: Amino acid, total; amino acids; Amino acids, dissolved; BIOACID; Biological Impacts of Ocean Acidification; carbohydrates; Carbohydrates, dissolved; Carbohydrates, total combined; Carbon, organic, dissolved; DATE/TIME; Identification; KOSMOS_2011_Bergen; MESO; mesocosm; Mesocosm experiment; Nitrogen, organic, dissolved; Ocean acidification; organic matter; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Phase; Ratio; Raunefjord; SOPRAN; Surface Ocean Processes in the Anthropocene; Time, incubation
    Type: Dataset
    Format: text/tab-separated-values, 9976 data points
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  • 7
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    Concentrations and fluxes of the sea-ice biomarkers 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane (IP25) and highly branched isoprenoid triene (HBI III) from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Concentrations of the sea-ice biomarker IP25 and highly branched isoprenoid triene (HBI III) (ng/g), total organic carbon content (TOC; %), IP25 and HBI III concentrations normalized to TOC (ng/gTOC), and fluxes of IP25 and HBI III (ng/unit surface area/yr) from the marine sediment core AMD14-204_CASQ that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, flux; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Gas chromatography - Mass spectrometry (GC-MS); Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Highly branched isoprenoids, triunsatured; Highly branched isoprenoids, triunsatured, flux; Highly branched isoprenoids, triunsatured, per unit mass total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 1925 data points
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    DATA PANGAEA
  • 8
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    Sea-ice meiofauna biomass, carbon demand, and secondary production in Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in spring 2015 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: We investigated the biomass, carbon demand, and secondary production of sea-ice meiofauna (here heterotrophs 〉10μm) at eight ice stations on Arctic pack ice north of Svalbard. Sampling was conducted during spring 2015 by sea-ice coring. The biomass (µgCm-²) for sea-ice meiofauna taxa was calculated by multiplying abundances (ind. m-²) of each taxon obtained from Ehrlich et al. (2020) (https://doi.org/10.3389/fmars.2020.00452) by the carbon content per individual of this taxon. The mass-specific ingestion rate of each taxon was multiplied by the biomass of that taxon at every station to determine the carbon demand per day. For the calculation of sea-ice meiofauna secondary production all production-biomass (P/B) ratios were obtained from Forest et al. (2014) (https://doi.org/10.5194/bg-11-2827-2014).
    Keywords: Amoebozoa, biomass as carbon; Amoebozoa, ingestion rate as carbon; Amoebozoa, production as carbon; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Biomass; Calculated; Campaign; Ciliophora, biomass as carbon; Ciliophora, ingestion rate as carbon; Ciliophora, production as carbon; DATE/TIME; Dinophyceae, biomass as carbon; Dinophyceae, ingestion rate as carbon; Dinophyceae, production as carbon; Event label; Harpacticoida, biomass as carbon; Harpacticoida, ingestion rate as carbon; Harpacticoida, production as carbon; ICE; Ice station; LATITUDE; Location; LONGITUDE; Nauplii, biomass as carbon; Nauplii, ingestion rate as carbon; Nauplii, production as carbon; pack ice; Polarstern; Principal investigator; PS92; PS92/019-6; PS92/027-2; PS92/031-2; PS92/032-4; PS92/039-6; PS92/043-4; PS92/046-1; PS92/047-3; Rotifera, biomass as carbon; Rotifera, ingestion rate as carbon; Rotifera, production as carbon; sea-ice meiofauna; Station label; Svalbard; sympagic fauna; Tintinnina, biomass as carbon; Tintinnina, ingestion rate as carbon; Tintinnina, production as carbon; Type
    Type: Dataset
    Format: text/tab-separated-values, 208 data points
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    DATA PANGAEA
  • 9
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    Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV SONNE during cruise SO184/2 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was continuously recorded during RV SONNE cruise SO184/2. Data was recorded on 20 days between 2005-08-01 and 2005-08-20. This dataset contains an elongated transit survey east of Sumatra and Suva, Indonesia. Data covers parts of the continental shelf and continental slope. The approximate average depth of the entire dataset is around 2300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. However, data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; PABESIA; Ship speed; SO184/2; SO184/2_0_Underway-1; Sonne; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 15780 data points
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    DATA PANGAEA
  • 10
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    Swiss Early Meteorological Observations v2.0 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: A collection of early instrumental meteorological records for 46 locations in Switzerland and one in France covering the 18th and 19th century. Available variables are air temperature, pressure, precipitation, snow depth, snow/rain occurrence, humidity, wind force and direction, cloud cover, wet bulb temperature, water temperature, soil temperature, and weather description, for a total of ca. 5 million observations. Air temperature, pressure, and precipitation data (ca. 3 million observations) have been converted to modern units and quality controlled. Time has been converted to UTC.
    Keywords: Binary Object; File content; Switzerland
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 11
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    Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV SONNE during cruise SO184/3 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was continuously recorded during RV SONNE cruise SO184/3. Data was recorded on 20 days between 2005-08-22 and 2005-09-10. This dataset contains an elongated transit survey south of the islands of Indonesia. Data covers parts of the continental shelf and continental slope. The approximate average depth of the entire dataset is around 2500m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. However, data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO184/3; SO184/3_0_Underway-1; Sonne; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 14943 data points
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    DATA PANGAEA
  • 12
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO268/3 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV SONNE cruise SO268/3. Data was recorded on 29 days between 2019-05-31 and 2019-06-28. This dataset contains a transit survey in the North Pacific Ocean. The approximate average depth of the entire dataset is around 5300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed several times during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; North Pacific Ocean, western part; Number of pings; Ship speed; SO268/3; SO268/3_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 12062 data points
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    DATA PANGAEA
  • 13
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    Water column raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO268/3 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water column raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV SONNE cruise SO268/3. Data were recorded 30 days between 2019-05-31 and 2019-06-28 in the North Pacific Ocean. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH and added to the corresponding multibeam raw dataset doi:10.1594/PANGAEA.952266 This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM).
    Keywords: Bathymetry; Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; North Pacific Ocean, western part; Number of pings; Ship speed; SO268/3; SO268/3_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 12060 data points
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    DATA PANGAEA
  • 14
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO270 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV SONNE cruise SO270. Data was recorded on 40 days between 2019-09-13 and 2019-10-22. This dataset contains an elongated transit survey in the Indian Ocean over the Mid-Idian Ocean Basin also crossing the Fuji Seamount (mainly deep sea area's). In addition, this dataset contains survey data from the Saya de Malha Bank and Sommerville Bank with shallow water depth. The approximate average depth of the entire dataset is around 4100m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Expendable Sound Velocimeter; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; Kongsberg EM122 Multibeam Echo Sounder; LATITUDE; LONGITUDE; MASCARA; Multibeam Echosounder; Number of pings; Ship speed; SO270; SO270_0_Underway-2; SO270_10-1; SO270_22-1; SO270_31-2; SO270_58-2; SO270_84-2; SO270_9-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; XSV
    Type: Dataset
    Format: text/tab-separated-values, 13604 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 15
    facet.materialart.
    Unknown
    Seawater carbonate chemistry dataset collected during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide results of carbonate chemistry for seawater samples collected during the expedition at the offshore and inshore sampling stations as well as at coral sampling sites (a few meters from studied colonies). The sampling protocol was described by Gorsky et al. (2019). Briefly, unfiltered seawater was collected once a week during the cruise and poisoned with Hg2Cl2 before to be stored on TARA board (356 samples). Like for TARA-Ocean expedition (Picheral et al, 2014) Total Alkalinity (TA) and Total Inorganic Carbon (TC) were measured at the SNAPO-CO2 facility at LOCEAN laboratory (Paris, France) and analyzed simultaneously by potentiometric titration derived from the method developed by Edmond (1970) using a closed cell. Calibrated Certified Reference Material (CRM, Dickson et al, 2007) were regularly analyzed (CRM Batches 155, 173 and 182). Analytical accuracy of the TA and TC concentrations is ±3 µmol.kg-1. Additional parameters of the carbonate system were calculated with CO2SYS.m v3.1.1 (Feb 2021: https://github.com/jonathansharp/CO2-System-Extd) using measured TA-TC data, in-situ seawater salinity and temperature measured at each seawater sampling, and local phosphate and silicate concentrations as inputs.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Carbon, inorganic, total; Carbonate chemistry; Carbonate ion; Carbon dioxide; Carbon dioxide, partial pressure; Comment; Depth, bottom/max; Depth, top/min; DEPTH, water; Determined potentiometrically (Edmond 1970); DOLPHIN-CARBOY; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; Fugacity of carbon dioxide in seawater; Hydrogen ion concentration; Hydroxide ion; OA000-I01-S02; OA000-I01-S03; OA000-I02-S03; OA000-I04-S01; OA000-I04-S04; OA000-I05-S02; OA000-I06-S02; OA000-I07-S01; OA000-I07-S02; OA000-I07-S03; OA000-I07-S04; OA000-I08-S01; OA000-I08-S02; OA000-I08-S03; OA000-I09-S01; OA000-I09-S02; OA000-I09-S03; OA000-I10-S01; OA000-I10-S02; OA000-I10-S03; OA000-I10-S05; OA000-I11-S01; OA000-I12-S01; OA000-I12-S02; OA000-I12-S03; OA000-I13-S01; OA000-I13-S02; OA000-I13-S03; OA000-I14-S01; OA000-I14-S02; OA000-I14-S03; OA000-I15-S01; OA000-I15-S02; OA000-I15-S03; OA000-I16-S01; OA000-I16-S02; OA000-I16-S03; OA000-I17-S01; OA000-I17-S02; OA000-I17-S03; OA000-I18-S01; OA000-I18-S02; OA000-I18-S03; OA000-I19-S01; OA000-I19-S02; OA000-I19-S03; OA000-I19-S04; OA000-I20-S01; OA000-I20-S02; OA000-I20-S03; OA000-I21-S01; OA000-I21-S02; OA000-I21-S03; OA000-I22-S01; OA000-I22-S02; OA000-I22-S03; OA000-I23-S01; OA000-I23-S02; OA000-I23-S03; OA000-I23-S14; OA000-I24-S01; OA000-I24-S02; OA000-I24-S03; OA000-I25-S01; OA000-I25-S02; OA000-I25-S03; OA000-I25-S04; OA000-I25-S05; OA000-I26-S01; OA000-I26-S02; OA000-I26-S03; OA000-I27-S01; OA000-I27-S02; OA000-I28-S01; OA000-I28-S02; OA000-I28-S03; OA000-I29-S01; OA000-I29-S02; OA000-I29-S03; OA000-I30-S01; OA000-I30-S02; OA000-I30-S03; OA000-I31-S01; OA000-I31-S02; OA000-I31-S03; OA000-I31-S04; OA000-I32-S01; OA000-I32-S02; OA000-I32-S03; OA000-I32-S04; OA000-TS5-S11; OA000-TS5-S12; OA000-TS5-S21; OA000-TS5-S22; OA000-TS5-S31; OA000-TS5-S51; OA003-I00-S00; OA008-I00-S00; OA014-I00-S00; OA020-I00-S00; OA027-I00-S00; OA028-I00-S00; OA031-I00-S00; OA036-I00-S00; OA042-I04-S00; OA044-I04-S00; OA048-I05-S00; OA050-I05-S00; OA054-I06-S00; OA058-I00-S00; OA060-I07-S00; OA072-I11-S00; OA080-I13-S00; OA090-I14-S00; OA092-I15-S00; OA094-I00-S00; OA096-I00-S00; OA100-I00-S00; OA106-I00-S00; OA115-I00-S00; OA122-I00-S00; OA140-I19-S00; OA154-I00-S00; OA157-I23-S00; OA159-I23-S00; OA167-I26-S00; OA169-I00-S00; OA173-I00-S00; OA179-I00-S00; OA185-I00-S00; OA190-I29-S00; OA191-I29-S00; OA197-I00-S00; OA205-I00-S00; OA210-I00-S00; OA213-I00-S00; OA218-I00-S00; OA224-I00-S00; OA230-I32-S00; OA233-I00-S00; OA234-I00-S00; OA238-I00-S00; OA239-I00-S00; OA243-I00-S00; OA245-I00-S00; Pacific; Pacific Ocean; pH; Quality assurance; Sample code/label; Sample comment; Sample ID; SCUBA-CORER; SCUBA-PUMP; surface seawater; SV Tara; TARA_20160531T1315Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160607T1623Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160614T1233Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160621T1258Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160706T1359Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160712T1528Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160718T1408Z_D_C-CSW-C010_SCUBA-PUMP; TARA_20160723T1328Z_D_C-COL_SCUBA-CORER; TARA_20160723T1521Z_D_S-SRF_ZODIAC-PUMP; TARA_20160725T1541Z_D_S-SRF_ZODIAC-PUMP; TARA_20160818T1624Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160824T1457Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160831T0157Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20160903T1525Z_D_C-COL_SCUBA-CORER; TARA_20160903T2124Z_D_S-SRF_ZODIAC-PUMP; TARA_20160907T1436Z_D_C-COL_SCUBA-CORER; TARA_20160908T0406Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20160912T1456Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20160914T2212Z_D_S-SRF_ZODIAC-PUMP; TARA_20160917T2135Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20160921T0519Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20160923T1734Z_D_C-COL_SCUBA-CORER; TARA_20161001T1627Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20161106T1906Z_D_C-CSW-C010_SCUBA-PUMP; TARA_20161107T0110Z_D_S-SRF_ZODIAC-PUMP; TARA_20161107T2012Z_D_S-SRF_ZODIAC-PUMP; TARA_20161108T0232Z_D_C-COL_SCUBA-CORER; TARA_20161108T1925Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161108T1945Z_D_S-SRF_ZODIAC-PUMP; TARA_20161109T0226Z_D_C-COL_SCUBA-CORER; TARA_20161110T0116Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20161114T0030Z_D_S-SRF_ZODIAC-PUMP; TARA_20161114T0050Z_D_C-COL_SCUBA-CORER; TARA_20161115T1850Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161116T0006Z_D_S-SRF_ZODIAC-PUMP; TARA_20161116T1630Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161117T0042Z_D_S-SRF_ZODIAC-PUMP; TARA_20161122T0313Z_D_C-COL_SCUBA-CORER; TARA_20161122T2010Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161123T0130Z_D_S-SRF_ZODIAC-PUMP; TARA_20161123T1932Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161124T0121Z_D_S-SRF_ZODIAC-PUMP; TARA_20161124T0200Z_D_C-COL_SCUBA-CORER; TARA_20161124T1955Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161125T0234Z_D_S-SRF_ZODIAC-PUMP; TARA_20161129T1931Z_D_C-COL_SCUBA-CORER; TARA_20161130T1907Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161130T2311Z_D_S-SRF_ZODIAC-PUMP; TARA_20161201T1843Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161201T2313Z_D_S-SRF_ZODIAC-PUMP; TARA_20161202T1858Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161203T0000Z_D_S-SRF_ZODIAC-PUMP; TARA_20161204T1621Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20161218T0300Z_D_C-COL_SCUBA-CORER; TARA_20161230T2017Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161231T0209Z_D_S-SRF_ZODIAC-PUMP; TARA_20161231T2059Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170101T0204Z_D_S-SRF_ZODIAC-PUMP; TARA_20170101T1947Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170102T0300Z_D_S-SRF_ZODIAC-PUMP; TARA_20170106T0855Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20170107T2127Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170108T0158Z_D_S-SRF_ZODIAC-PUMP; TARA_20170108T2224Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170109T0210Z_D_S-SRF_ZODIAC-PUMP; TARA_20170109T1929Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170109T2200Z_D_C-COL_SCUBA-CORER; TARA_20170110T0200Z_D_S-SRF_ZODIAC-PUMP; TARA_20170118T2148Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20170121T0000Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170121T0142Z_D_S-SRF_ZODIAC-PUMP; TARA_20170121T2110Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170122T0000Z_D_S-SRF_ZODIAC-PUMP; TARA_20170122T0003Z_D_C-COL_SCUBA-CORER; TARA_20170122T2306Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170123T0132Z_D_S-SRF_ZODIAC-PUMP; TARA_20170126T2109Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20170128T2158Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170129T0015Z_D_S-SRF_ZODIAC-PUMP; TARA_20170129T0045Z_D_C-COL_SCUBA-CORER; TARA_20170129T2209Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170130T0036Z_D_S-SRF_ZODIAC-PUMP; TARA_20170130T2216Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170131T0052Z_D_S-SRF_ZODIAC-PUMP; TARA_20170205T1106Z_N_O-SRF_DOLPHIN-CARBOY; TARA_20170208T2319Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170209T0209Z_D_S-SRF_ZODIAC-PUMP; TARA_20170209T2320Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170210T0210Z_D_C-COL_SCUBA-CORER; TARA_20170210T0235Z_D_S-SRF_ZODIAC-PUMP; TARA_20170210T2330Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170211T0130Z_D_S-SRF_ZODIAC-PUMP; TARA_20170215T2242Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170328T0735Z_D_S-SRF_ZODIAC-PUMP; TARA_20170329T0753Z_D_S-SRF_ZODIAC-PUMP; TARA_20170402T0559Z_D_S-SRF_ZODIAC-PUMP; TARA_20170403T0610Z_D_S-SRF_ZODIAC-PUMP; TARA_20170406T0610Z_D_S-SRF_ZODIAC-PUMP; TARA_20170412T0103Z_D_S-SRF_ZODIAC-PUMP; TARA_20170413T0000Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170413T0225Z_D_S-SRF_ZODIAC-PUMP; TARA_20170414T0130Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170414T0634Z_D_S-SRF_ZODIAC-PUMP; TARA_20170415T0035Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170415T0558Z_D_S-SRF_ZODIAC-PUMP; TARA_20170502T2350Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170508T2312Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170517T2237Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170524T2111Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170602T0210Z_D_S-SRF_ZODIAC-PUMP; TARA_20170602T2000Z_D_C-COL_SCUBA-CORER; TARA_20170602T2003Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170604T2333Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170605T0252Z_D_S-SRF_ZODIAC-PUMP; TARA_20170606T0040Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170606T0300Z_D_S-SRF_ZODIAC-PUMP; TARA_20170828T2214Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20170830T0444Z_D_C-COL_SCUBA-CORER; TARA_20170830T2214Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170831T0424Z_D_S-SRF_ZODIAC-PUMP; TARA_20170901T2105Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170901T2255Z_D_S-
    Type: Dataset
    Format: text/tab-separated-values, 11038 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 16
    facet.materialart.
    Unknown
    Meteorological data from RRS Discovery cruise DY086 at site P3 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Meteorological data were collected across three visits to site P3 during COMICS cruise DY086 aboard the RRS Discovery in November and December, 2017. Measurements included: air pressure, temperature and humidity; solar and photosynthetically active radiation at both Port and Starboard sides. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council. BODC advised that the ship's anemometer shows inconsistencies and so data from the instrument were not included.
    Keywords: 74EQ20171115; 74EQ20171115-track; ALTITUDE; Barometer, Vaisala, PTB 210; biological carbon pump; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; CT; DATE/TIME; Discovery (2013); DY086; fluxes; Humidity, relative; LATITUDE; LONGITUDE; marine biogeochemistry; PAR sensor, Two Skye Instruments, SKE510; Potential incoming solar radiation; Pressure, atmospheric; Pyranometer, Kipp & Zonen, CM6B; Radiation, photosynthetically active; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, air; Temperature and humidity sensor, Vaisala, HMP; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 155589 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 17
    facet.materialart.
    Unknown
    Discrete particulate organic carbon (POC) concentration and flux data from three visits to site P3 in 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Discrete measurements of particulate organic carbon (POC) concentration and flux were made on the RRS Discovery during COMICS cruise DY086 at site P3 in the South Atlantic from November to December, 2017 (Giering et al. 2023). Data is from a variety of equipment including marine snow catchers, neutrally-buoyant sediment traps (PELAGRA) and a stand-alone pump system. Marine snow catchers settled on-deck for 2 hours. Slow sinking particles were collected from the base and fast sinking particles were collected from the tray. These data were used along with bottle POC data to calibrate glider backscatter data from the GOCART project.
    Keywords: 74EQ20171115; biological carbon pump; Carbon, organic, particulate; Carbon, organic, particulate, flux; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; DEPTH, water; Discovery (2013); DY086; DY086_MSC006; DY086_MSC007; DY086_MSC010; DY086_MSC015; DY086_MSC016; DY086_MSC019; DY086_MSC020; DY086_MSC022; DY086_MSC027; DY086_MSC028; DY086_MSC029; DY086_MSC034; DY086_MSC035; DY086_MSC036; DY086_MSC037; DY086_MSC038; DY086_MSC039; DY086_MSC040; DY086_MSC061; DY086_MSC062; DY086_MSC063; DY086_MSC067; DY086_MSC068; DY086_MSC069; DY086_MSC071; DY086_MSC072; DY086_MSC076; DY086_MSC077; DY086_MSC078; DY086_MSC079; DY086_MSC081; DY086_MSC082; DY086_MSC083; DY086_MSC084; DY086_MSC093; DY086_MSC094; DY086_MSC099; DY086_MSC100; DY086_MSC101; DY086_MSC103; DY086_MSC104; DY086_MSC105; DY086_MSC106; DY086_MSC111; DY086_MSC112; DY086_MSC113; DY086_MSC114; DY086_MSC125; DY086_MSC126; DY086_MSC127; DY086_MSC128; DY086_Pelagra006; DY086_Pelagra007; DY086_Pelagra008; DY086_Pelagra009; DY086_Pelagra010; DY086_Pelagra011; DY086_Pelagra012; DY086_Pelagra013; DY086_Pelagra014; DY086_Pelagra015; DY086_Pelagra016; DY086_Pelagra017; DY086_Pelagra018; DY086_Pelagra019; DY086_Pelagra020; DY086_Pelagra021; DY086_Pelagra022; DY086_Pelagra023; DY086_Pelagra024; DY086_Pelagra025; DY086_Pelagra026; DY086_Pelagra027; DY086_Pelagra028; DY086_Pelagra029; DY086_Pelagra030; DY086_Pelagra031; DY086_Pelagra032; DY086_Pelagra033; DY086_Pelagra034; DY086_Pelagra035; DY086_Pelagra036; DY086_Pelagra037; DY086_Pelagra038; DY086_SAPS001; DY086_SAPS002; DY086_SAPS003; DY086_SAPS004; DY086_SAPS005; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Marine snow catcher; MSC; PELAGRA; SAPS; Site; Stand-alone pumps; SUMMER; Sustainable Management of Mesopelagic Resources; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 366 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 18
    facet.materialart.
    Unknown
    Flow cytometry dataset from CTD casts showing the abundance of microorganisms (smaller than 20 µm) during the Arctic MOSAiC expedition (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset gives an overview of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from ship-based and on-ice CTD rosettes during leg 1, 2, 3, 4 and 5 (November 2019 – September 2020). Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., to be submitted to Elementa). We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021). Flow cytometry (FCM) is a fast, high-throughput method to enumerate the abundance of microorganism (smaller than 20 µm). FCM uses the hydrodynamic focusing of a laminar flow to separate and line up microscopic particles. When particles pass a laser beam, the generated light scattering can be used to estimate their cell size, obtain information about cell granularity and surface characteristics and determine fluorescence from inherent pigments or applied stains, such as DNA binding ones. Photosynthetic microorganisms have auto-fluorescent pigments, such as chlorophylls which in combination with the light scattering properties (cell size) or surface properties, can be used to group them into clusters of similar or identical organism types. Heterotrophic microorganisms, including archaea, bacteria and heterotrophic nanoflagellates, and virus do not have fluorescent pigments and require staining, for example using SYBR Green to stain Nucleic Acids (DNA/RNA) in order to distinguish these cells from other organic and inorganic particles in the sample. Samples for flow cytometric analysis were taken in triplicates or quadruplicates of 1.8 mL of sample water and fixed with 36 μL 25 % glutaraldehyde (0.5 % final concentration) at 4 °C in the dark for approximately 2 hours, then flash frozen in liquid nitrogen and stored at -80 °C until analysis. The abundance of pico- and nano-sized phytoplankton and heterotrophic nanoflagellates (HNF) were determined using an Attune® NxT, Acoustic Focusing Cytometer (Invitrogen by Thermo Fisher Scientific) with a 20 mW 488 nm (blue) laser. Autotrophic pico-and nano-sized plankton were counted directly after thawing and the various groups discriminated based on their red fluorescence (BL3) vs. orange fluorescence (BL2), red fluorescence (BL3) vs. side scatter (SSC) and orange fluorescence (BL2) vs. side scatter (SSC). For HNF analysis, the samples were stained with SYBR Green I for 2 h in the dark and 1-2 mL were subsequently measured at a flow rate of 500 µl min-1 following the protocol of Zubkov et al. 2007. The abundance of virus and bacteria was determined using a FACS Calibur (Becton Dickinson) flow cytometer with a 15 mW 480 nm (blue) laser. Prior analysis of virus and bacteria, samples were first thawed, diluted x10 and x100 with 0.2 μm filtered TE buffer (Tris 10 mM, EDTA 1 mM, pH 8), stained with a green fluorescent nucleic acid dye (SYBR Green I ; Molecular Probes, Eugene, Oregon, USA) and then incubated for 10 min at 80°C in a water bath (Marie et al. 1999). Stained samples were counted at a flow rate of around 60 µL min-1 and different groups discriminated on a biparametric plot of green florescence (BL1) vs. side scatter (SSC). This allowed to distinguish virus particles of different sizes, and different bacterial groups including low nuclear acid (LNA) and high nuclear acid (HNA) bacteria. Names of size groups of photosynthetic and heterotrophic organisms are in accordance to "Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual (Version 1.1)" (Neeley et al., 2023). A short summary is listed here: RedPico = picophytoplankton (1-2 µm); RedNano = Nanophytoplankton (2-20µm), which includes subgroups RedNano_small (2-5 µm), RedNano_large (5-20 µm); OraPico = Nanophytoplankton with more orange fluorescence; OraNano = Cryptophytes; OraPicoProk = Synechococcus; HetNano = heterotrophic nanoflagellates; HetProk = bacteria (and when present archaea); HetLNA = low nucleic acid (LNA) containing bacteria; HetHNA = high nucleic acid (HNA) containing bacteria with the subgroups HetProk_medium = HNA-bacteria subgroup with less fluorescence signal, HetProk_large = HNA-bacteria subgroup with more fluorescence signal and HetProk_verylarge = HNA-bacteria subgroup with very strong fluorescence signal; Virus = virus-like particles, including size refined subgroups: LFV (low fluorescence virus or small virus); MFV (medium fluorescence virus or medium virus); HFV (high fluorescence virus or large virus) according to Larsen et al., 2008. Exemplary plots showing the gating strategies that were followed can be found in "Interoperable vocabulary for marine microbial flow cytometry" (Thyssen et al., 2022).
    Keywords: Acoustic focusing cytometer, Thermo Fisher, Attune NxT [20 mW 488 nm (blue) laser]; Activity description; Arctic; Arctic Ocean; Cast number; Collector; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Device type; Event label; Feature; flow cytometry; Flow cytometry system, Becton Dickinson, FACSCalibur; HAVOC; Heterotrophic nanophytoplankton; Heterotrophic prokaryotes; Heterotrophic prokaryotes, large; Heterotrophic prokaryotes, medium; Heterotrophic prokaryotes, very large; Heterotrophic prokaryotes with relatively high nucleic acid; Heterotrophic prokaryotes with relatively low nucleic acid; LATITUDE; Leg Number; LONGITUDE; microbial abundance; MOSAiC; MOSAiC_ECO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Orange and red fluorescing nanophytoplankton; Orange and red fluorescing picophytoplankton; Orange fluorescing prokaryote picophytoplankton; Polarstern; PS122/1; PS122/1_10-44; PS122/1_7-49; PS122/1_8-46; PS122/1_9-50; PS122/2; PS122/2_17-41; PS122/2_18-34; PS122/2_19-56; PS122/2_20-46; PS122/2_21-65; PS122/2_22-47; PS122/2_23-63; PS122/2_25-54; PS122/3; PS122/3_30-41; PS122/3_30-53; PS122/3_31-39; PS122/3_33-69; PS122/3_34-77; PS122/3_35-63; PS122/3_36-59; PS122/3_36-81; PS122/3_37-45; PS122/3_37-88; PS122/3_38-5; PS122/3_38-54; PS122/3_38-69; PS122/3_39-51; PS122/3_40-36; PS122/4; PS122/4_44-184; PS122/4_44-67; PS122/4_45-100; PS122/4_45-3; PS122/4_45-31; PS122/4_45-75; PS122/4_45-79; PS122/4_45-82; PS122/4_45-85; PS122/4_45-96; PS122/4_46-60; PS122/4_47-108; PS122/4_47-60; PS122/4_48-15; PS122/4_48-62; PS122/4_49-14; PS122/4_49-2; PS122/4_49-25; PS122/5; PS122/5_59-274; PS122/5_59-306; PS122/5_59-357; PS122/5_59-363; PS122/5_59-62; PS122/5_59-72; PS122/5_60-69; PS122/5_61-161; PS122/5_62-38; PS122/5_62-91; PS122/5_63-53; Red only fluorescing nanophytoplankton; Red only fluorescing nanophytoplankton, large; Red only fluorescing nanophytoplankton, small; Red only fluorescing picophytoplankton; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sample code/label; Virus, high DNA fluorescence; Virus, low DNA fluorescence; Virus, medium DNA fluorescence; Virus-like particles; Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 13768 data points
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  • 19
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    Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (〈 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset is a subset of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from first year sea ice (FYI) core bottom 5 cm sections from leg 2 and 3 (February, March, April 2020). For sea ice derived FCM abundance data, subsamples of 15 mL were taken from pooled ice core sections that were melted in filtered sea water and correspondingly a correction factor applied (details provided in the data-file), to enumerate the abundance of microorganisms per mL of melted sea ice. Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., to be submitted to Elementa). We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021). Flow cytometry (FCM) is a fast, high-throughput method to enumerate the abundance of microorganism (smaller than 20 µm). FCM uses the hydrodynamic focusing of a laminar flow to separate and line up microscopic particles. When particles pass a laser beam, the generated light scattering can be used to estimate their cell size, obtain information about cell granularity and surface characteristics and determine fluorescence from inherent pigments or applied stains, such as DNA binding ones. Photosynthetic microorganisms have auto-fluorescent pigments, such as chlorophylls which in combination with the light scattering properties (cell size) or surface properties, can be used to group them into clusters of similar or identical organism types. Heterotrophic microorganisms, including archaea, bacteria and heterotrophic nanoflagellates, and virus do not have fluorescent pigments and require staining, for example using SYBR Green to stain Nucleic Acids (DNA) in order to distinguish these cells from other organic and inorganic particles in the sample. Samples for flow cytometric analysis were taken in triplicates or quadruplicates of 1.8 mL of sample water and fixed with 36 μL 25 % glutaraldehyde (0.5 % final concentration) at 4 °C in the dark for approximately 2 hours, then flash frozen in liquid nitrogen and stored at -80 °C until analysis. The abundance of pico- and nano-sized phytoplankton and heterotrophic nanoflagellates (HNF) were determined using an Attune® NxT, Acoustic Focusing Cytometer (Invitrogen by Thermo Fisher Scientific) with a 20 mW 488 nm (blue) laser. Autotrophic pico-and nano-sized plankton were counted directly after thawing and the various groups discriminated based on their red fluorescence (BL3) vs. orange fluorescence (BL2), red fluorescence (BL3) vs. side scatter (SSC) and orange fluorescence (BL2) vs. side scatter (SSC). For HNF analysis, the samples were stained with SYBR Green I for 2 h in the dark and 1-2 mL were subsequently measured at a flow rate of 500 µl min-1 following the protocol of Zubkov et al. 2007. Following the Zubkov protocol, HNF are enumerated using a fixed gate and in case of sea ice samples, there is an overlap between HNA-bacteria with very high fluorescence and HNF, which is not possible to disentangle with current methodology. The abundance of virus and bacteria was determined using a FACS Calibur (Becton Dickinson) flow cytometer with a 15 mW 480 nm (blue) laser. Prior analysis of virus and bacteria, samples were first thawed, diluted x10 and x100 with 0.2 μm filtered TE buffer (Tris 10 mM, EDTA 1 mM, pH 8), stained with a green fluorescent nucleic acid dye (SYBR Green I ; Molecular Probes, Eugene, Oregon, USA) and then incubated for 10 min at 80°C in a water bath (Marie et al. 1999). Stained samples were counted at a flow rate of around 60 µL min-1 and different groups discriminated on a biparametric plot of green florescence (BL1) vs. side scatter (SSC). This allowed to distinguish virus particles of different sizes, and different bacterial groups including low nuclear acid (LNA) and high nuclear acid (HNA) bacteria. Names of size groups of photosynthetic and heterotrophic organisms are in accordance to "Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual (Version 1.1)" (Neeley et al., 2023). A short summary is listed here: RedPico = picophytoplankton (1-2 µm); RedNano = Nanophytoplankton (2-20µm), which includes subgroups RedNano_small (2-5 µm), RedNano_large (5-20 µm); OraPico = Nanophytoplankton with more orange fluorescence; OraNano = Cryptophytes; OraPicoProk = Synechococcus; HetNano = heterotrophic nanoflagellates; HetProk = bacteria (and when present archaea); HetLNA = low nucleic acid (LNA) containing bacteria; HetHNA = high nucleic acid (HNA) containing bacteria with the subgroups HetProk_medium = HNA-bacteria subgroup with less fluorescence signal, HetProk_large = HNA-bacteria subgroup with more fluorescence signal and HetProk_verylarge = HNA-bacteria subgroup with very strong fluorescence signal; Virus = virus-like particles, including size refined subgroups: LFV (low fluorescence virus or small virus); MFV (medium fluorescence virus or medium virus); HFV (high fluorescence virus or large virus) according to Larsen et al., 2008. Exemplary plots showing the gating strategies that were followed can be found in "Interoperable vocabulary for marine microbial flow cytometry" (Thyssen et al., 2022).
    Keywords: Acoustic focusing cytometer, Thermo Fisher, Attune NxT [20 mW 488 nm (blue) laser]; Activity description; Arctic Ocean; Core length; DATE/TIME; Depth, bathymetric; DEPTH, ice/snow; Device type; Event label; Factor; Feature; flow cytometry; Flow cytometry system, Becton Dickinson, FACSCalibur; HAVOC; Heterotrophic nanophytoplankton; Heterotrophic prokaryotes; Heterotrophic prokaryotes, large; Heterotrophic prokaryotes, medium; Heterotrophic prokaryotes, very large; Heterotrophic prokaryotes with relatively high nucleic acid; Heterotrophic prokaryotes with relatively low nucleic acid; IC; Ice core; Ice corer; Identification; LATITUDE; Leg Number; LONGITUDE; microbial abundance; MOSAiC; MOSAiC_ECO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Orange and red fluorescing nanophytoplankton; Orange and red fluorescing picophytoplankton; Orange fluorescing prokaryote picophytoplankton; Polarstern; PS122/2; PS122/2_23-3; PS122/2_24-8; PS122/3; PS122/3_32-63; PS122/3_34-4; PS122/3_35-11; PS122/3_36-21; PS122/3_38-24; Red only fluorescing nanophytoplankton; Red only fluorescing nanophytoplankton, large; Red only fluorescing nanophytoplankton, small; Red only fluorescing picophytoplankton; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sample code/label; Sample volume; Virus, high DNA fluorescence; Virus, low DNA fluorescence; Virus, medium DNA fluorescence; Virus-like particles; Volume
    Type: Dataset
    Format: text/tab-separated-values, 226 data points
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  • 20
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    Average magnesite composition from selected serpentinite and listvenite samples from hole BT1B, Oman Drilling Project (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The presented carbonate electron microprobe data were derived from representative carbonate-bearing serpentinite and listvenite samples in Hole BT1B, OmanDP. The analyzed carbonate grains are chemically zoned and the data represents averages for compositionally and texturally comparable zones, e.g. matrix magnesite in 44-03 is always the core as the rim is dolomite. Electron microprobe analysis was conducted using the JEOL 8530F FE electron microprobe at Centre for Microscopy, Characterization and Analysis (CMCA), The University of Western Australia, using an acceleration voltage of 15 keV and a 5 µm defocused beam. The general analytical procedure and application of reference materials follow the method described in Beinlich et al. (2018; doi:10.1038/s41467-018-03039-9).
    Keywords: Barium, particulate; Calcium; Calcium, standard deviation; Calcium oxide; Calcium oxide, standard deviation; Carbon; Carbon, standard deviation; Carbon dioxide; Carbon dioxide, standard deviation; Cations, sum; CDRILL; Cerium, particulate; Core drilling; Core section label; DEPTH, sediment/rock; Description; Elements, total; Elements, total, standard deviation; Gadolinium, particulate; Gadolinium, standard deviation; Interval Cored; Iron, standard deviation; Iron 2+ and 3+; Iron oxide, FeO; Iron oxide, FeO, standard deviation; Magnesium; Magnesium, standard deviation; Magnesium oxide; Magnesium oxide, standard deviation; Manganese; Manganese, standard deviation; Manganese oxide; Manganese oxide, standard deviation; Normalization based on 3 oxygen; OmanDP; OmanDP_BT1B; Oman Drilling Project; Praseodymium, particulate; Praseodymium, standard deviation; Samarium, particulate; Samarium, standard deviation; Sample amount; Semail Ophiolite; Strontium, particulate; Strontium, standard deviation; Ultramafic rock carbonation; Wadi Mansah, Samail, Oman; Ytterbium, particulate; Ytterbium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 21
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    Links to master tracks in different resolutions of SONNE cruise SO270, Hong Kong - Port Louis, 2019-09-05 - 2019-10-23 (2020)
    PANGAEA
    In:  University of Hamburg, Germany
    Details
    Publication Date: 2024-04-27
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO270 were processed to receive a validated master track which can be used as reference of further expedition data.
    Keywords: Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; MASCARA; SO270; SO270-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 14110 data points
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  • 22
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    Total sedimentary organic carbon and nitrogen analyses from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Total sedimentary organic carbon contents (TOC; %), total nitrogen (TN; %), ratio TOC to TN, carbon and nitrogen isotopic compositions (‰) from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Element analyser CHN, LECO CS 125; Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Nitrogen, total; Thermo Scientific Flash 2000-Delta V Plus IRMS; δ13C, organic carbon; δ15N, bulk sediment
    Type: Dataset
    Format: text/tab-separated-values, 409 data points
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  • 23
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    Under-ice fauna biomass, carbon demand, and secondary production under Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in spring 2015 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: We investigated the biomass, carbon demand, and secondary production of under-ice fauna (here metazoans 〉300 μm) at eight stations in the Arctic Ocean, north of Svalbard. Sampling was conducted during spring in 2015 with the Surface and Under Ice Trawl (SUIT). The biomass (µgCm-²) for under-ice fauna taxa was calculated by multiplying abundances (ind. m-²) of each taxon obtained from Ehrlich et al. (2020) by the carbon content per individual of this taxon. The mass-specific ingestion rate of each taxon was multiplied by the total biomass of that taxon at every station to determine the carbon demand per day (µgC/m²/day). The secondary production of under-ice fauna was calculated by using a P/B ratio from Forest et al. (2014) for large Arctic mesozooplankton species.
    Keywords: Apherusa glacialis, biomass as carbon; Apherusa glacialis, carbon demand; Apherusa glacialis, production as carbon; Appendicularia, biomass as carbon; Appendicularia, carbon demand; Appendicularia, production as carbon; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Biomass; Calanus finmarchicus, biomass as carbon; Calanus finmarchicus, carbon demand; Calanus finmarchicus, production as carbon; Calanus glacialis, biomass as carbon; Calanus glacialis, carbon demand; Calanus glacialis, production as carbon; Calanus hyperboreus, biomass as carbon; Calanus hyperboreus, carbon demand; Calanus hyperboreus, production as carbon; Calculated; Campaign; Carbon demand; Cast number; Chaetognatha, biomass as carbon; Chaetognatha, carbon demand; Chaetognatha, production as carbon; Cirripedia, larvae, biomass as carbon; Cirripedia, larvae, carbon demand; Cirripedia, larvae, production as carbon; Clausocalanidae, biomass as carbon; Clausocalanidae, carbon demand; Clausocalanidae, production as carbon; Clione limacina, biomass as carbon; Clione limacina, carbon demand; Clione limacina, production as carbon; DATE/TIME; Eukrohnia hamata, biomass as carbon; Eukrohnia hamata, carbon demand; Eukrohnia hamata, production as carbon; Event label; Gear; Hydrozoa, biomass as carbon; Hydrozoa, carbon demand; Hydrozoa, production as carbon; Isopoda, biomass as carbon; Isopoda, carbon demand; Isopoda, production as carbon; LATITUDE; Limacina helicina, biomass as carbon; Limacina helicina, carbon demand; Limacina helicina, production as carbon; Location; LONGITUDE; Metridia longa, biomass as carbon; Metridia longa, carbon demand; Metridia longa, production as carbon; Nauplii, biomass as carbon; Nauplii, carbon demand; Nauplii, production as carbon; Oithona sp., biomass as carbon; Oithona sp., carbon demand; Oithona sp., production as carbon; Onisimus glacialis, biomass as carbon; Onisimus glacialis, carbon demand; Onisimus glacialis, production as carbon; Osteichthyes, larvae, biomass as carbon; Osteichthyes, larvae, carbon demand; Osteichthyes, larvae, production as carbon; pack ice; Paraeuchaeta spp., biomass as carbon; Paraeuchaeta spp., carbon demand; Paraeuchaeta spp., production as carbon; Parasagitta elegans, biomass as carbon; Parasagitta elegans, carbon demand; Parasagitta elegans, production as carbon; Polarstern; Polychaeta, biomass as carbon; Polychaeta, carbon demand; Polychaeta, production as carbon; PS92; PS92/019-1; PS92/027-1; PS92/031-1; PS92/032-12; PS92/039-17; PS92/043-23; PS92/045-1; PS92/047-1; Secondary production; Station label; SUIT; Surface and under ice trawl; Svalbard; sympagic fauna; Themisto libellula, biomass as carbon; Themisto libellula, carbon demand; Themisto libellula, production as carbon; Themisto spp., biomass as carbon; Themisto spp., carbon demand; Themisto spp., production as carbon; Thysanoessa longicaudata, biomass as carbon; Thysanoessa longicaudata, carbon demand; Thysanoessa longicaudata, production as carbon; Tisbe spp., biomass as carbon; Tisbe spp., carbon demand; Tisbe spp., production as carbon; Trawling distance; Trochophora, larvae, biomass as carbon; Trochophora, larvae, carbon demand; Trochophora, larvae, production as carbon; under-ice fauna; Volume; Xenacoelomorpha, biomass as carbon; Xenacoelomorpha, carbon demand; Xenacoelomorpha, production as carbon; Zoaea, larvae, biomass as carbon; Zoaea, larvae, carbon demand; Zoaea, larvae, production as carbon; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 728 data points
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  • 24
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    Filtered EBSD data set of listvenites from Oman Drilling Project Hole BT1B (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The dataset contains electron backscattered diffraction (EBSD) filtered data acquired on samples collected on cores from Oman Drilling Project Hole BT1B (International Continental Drilling Project Expedition 5057‐4B). A suite of 7 samples in foliated listvenites was analyzed through 11 EBSD maps of variable area width at specific sites of interest. The scanning resolution varies from 0.5 µm to 3 µm. Raw pixel data was filtered with the Channel 5 analysis suite from HKL Technology (Oxford Instruments) and consists in noise reduction followed by a wild spikes extrapolation (level 6; in few cases level 5). Datafiles are provided as channel text files (CTF), which can be processed and viewed with Channel 5 or MTEX.
    Keywords: Binary Object; carbonated peridotite; CDRILL; Core drilling; DEPTH, sediment/rock; EBSD analysis; Listvenite; OmanDP; OmanDP_BT1B; Oman Drilling Project; Sample code/label; Sample ID; Wadi Mansah, Samail, Oman
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
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  • 25
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    Enzyme activity and histochemical biomarkers of mussels and fish caught at two shipwrecks at the Belgian coast (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Dumped warfare material like munitions, unexploded ordnances and sunken war ships carry a significant risk of chemical leakage, posing threats to marine wildlife. To assess the hazard potential of explosives on marine biota a multi-biomarker analysis was conducted using blue mussels (Mytilus edulis) and fish (Trisopterus luscus) exposed at munition containing war-wrecks in the Belgian part of the North Sea. Chosen biomarkers were lysosomal membrane stability (LMS), lipofuscin (LIPF), neutral lipids (NL), glycogen (GLY) and the enzyme activity of catalase (CAT), glutathione-S transferase (GST) and acetylcholinesterase (AChE). Samples were taken in October 2019 and July 2020 by divers.
    Keywords: Acetylcholinesterase activity, unit per protein mass; Belwind; Biomarker; Catalase activity, unit per protein mass; Condition index; DATE/TIME; DEPTH, water; DIVER; enzyme activity; Event label; explosive; Family; Field experiment; fish; Glutathione S-transferase activity, unit per protein mass; Glycogen, area; Gonadal stage; HMS Basilisk, H11; John Mahn; John Mahn, V1302; LATITUDE; Length; Lipids, neutral, area; Lipofuscin, area; Location; LONGITUDE; Lysosomal membranes stability; Microplate reader; Microscopic image analysis; munition; Mytilus edulis; North Sea; North Sea Wrecks; NSW; Sample number; Sampling by diver; Site; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); SS0720_A360; SS0720_A361; SS0720_A362; SS0720_A363; SS0720_Reference1; SS0720_Reference2; SS0720_Wreck; SS1019_BA; SS1019_JM; SS1019_Reference; Vorpostenboot 1302
    Type: Dataset
    Format: text/tab-separated-values, 2284 data points
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  • 26
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    Acoustic backscatter data from two visits to site P3 (P3A and P3B) during COMICS cruise DY086 in November to December, 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Acoustic backscatter data were collected at five frequencies (18, 38, 70, 120 and 200 kHz) across two visits to site P3 (P3A, P3B), South Georgia, aboard the RRS Discovery during DY086. Acoustic backscatter was measured with a Simrad EK60. The data consistently shows no evidence of synchronised diel vertical migration (Cook et al. 2023).
    Keywords: 74EQ20171115; biological carbon pump; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; Date/Time of event 2; DEPTH, water; Discovery (2013); DY086; DY086_EK60_P3A; DY086_EK60_P3B; Echo backscatter; Echosounder, Simrad, EK60; Event label; fluxes; Frequency; Latitude of event; Longitude of event; marine biogeochemistry; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Time of day
    Type: Dataset
    Format: text/tab-separated-values, 5760 data points
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  • 27
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    CTD sensor and related bottle data analyses from RRS Discovery cruise DY086 at site P3 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Physical, chemical and biogeochemical measurements derived from CTD-rosette deployments during three visits to site P3 (November to December, 2017) in the South Atlantic. Measurements were made during COMICS cruise DY086 on the RRS Discovery using a trace metal free Titanium Rosette (events 4, 7, 15, 19, 24, 26, 29) and a Stainless Steel Rosette (all other events). Physical parameters include temperature, salinity, density, photosynthetically active radiation and turbulence; chemical parameters include dissolved oxygen, dissolved oxygen saturation, nitrate, phosphate and silicate; biogeochemical parameters include turbidity, beam transmittance, beam attenuation, fluorescence, particulate organic carbon (POC), dissolved organic carbon (DOC), chlorophyll-a, net primary productivity (NPP), ambient leucine assimilation and bacterial cell count. To determine turbulence, a downward facing lowered acoustic doppler current profiler (LADCP, Teledyne Workhorse Monitor 300 kHz ADCP) was attached to the CTD frame. Shear and strain, which are obtained from velocity and density measurements, were used to estimate the dissipation rate of turbulent kinetic energy and the diapycnal eddy diffusivity from a fine-scale parameterisation. Estimates are calculated by parameterising internal wave-wave interactions and assuming that wave breaking modulates turbulent mixing. A detailed description of the method for calculating diffusivity from LADCP and CTD can be found in Kunze et al. (2006). Two datasets with different vertical resolutions were produced: one in which the shear is integrated from 150 to 300 m and the strain over 20-150 m, and one in which the shear is integrated from 70 to 200 m and the strain over 30-200 m. Nutrients (nitrate, phosphate, silicate) were determined via colourimetric analysis (see cruise report, Giering and Sanders, 2019), POC was determined as described in Giering et al. (2023), DOC and DOC flux were determined as described in Lovecchio et al. (2023), NPP was determined as described in Poulton et al. (2019), and ambient leucine assimilation and bacterial cell count were determined as described in Rayne et al. (2024). Bacterial abundance and leucine assimilation were made from bottle samples of six CTD casts of the stainless-steel rosette. Water was collected at six depths (6 m, deep-chlorophyll maximum, mixed layer depth + 10, 100, 250 and 500 m). Acid-cleaned HDPE carboys and tubing were used for sampling. Samples were then stored in the dark and at in-situ temperature prior to on-board laboratory sample preparation or analysis. Flow cytometry was used to measure bacterial abundance. Room temperature paraformaldehyde was used to fix 1.6 ml samples for 30 minutes. Then, using liquid nitrogen, the samples were flash frozen and stored at -80°C. Samples were then defrosted before being stained using SYBR Green I and run through the flow cytometer (BD FACSort™). The method of Hill et al. (2013) was applied to determine prokaryotic leucine assimilation using L-[4,5-³H] leucine which has a specific activity of 89.3 Ci/mmol­. In the mixed and upper layers of the water column, the protocol in Zubkov et al. (2007) was followed. Below the mixed layer, adaptions to the method included reducing the concentration of ³H-Leucine to 0.005, 0.01, 0.025, 0.04 and 0.05 nM; increasing experimental volumes to 30 ml; enhancing incubation times to 30, 60, 90 and 120 min. These adaptions were made to improve accuracy where lower rates of leucine assimilation were expected. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council.
    Keywords: 74EQ20171115; Angular scattering coefficient, 700 nm; Attenuation, optical beam transmission; Bacteria; Barometer, Paroscientific, Digiquartz TC; biological carbon pump; Calculated; Calculated according to UNESCO (1983); Calculation according to Kunze et al. (2006); Carbon, organic, dissolved; Carbon, organic, dissolved, flux; Carbon, organic, particulate; Chlorophyll a; Colorimetric analysis; COMICS; Conductivity sensor, SEA-BIRD SBE 4C; Controls over Ocean Mesopelagic Interior Carbon Storage; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Discovery (2013); Dissipation rate; Dissolved Oxygen Sensor, Sea-Bird, SBE 43 and SBE 43F; DY086; DY086_CTD002; DY086_CTD003; DY086_CTD004; DY086_CTD005; DY086_CTD006; DY086_CTD007; DY086_CTD008; DY086_CTD009; DY086_CTD010; DY086_CTD015; DY086_CTD016; DY086_CTD017; DY086_CTD018; DY086_CTD019; DY086_CTD020; DY086_CTD021; DY086_CTD022; DY086_CTD023; DY086_CTD024; DY086_CTD026; DY086_CTD027; DY086_CTD028; DY086_CTD029; DY086_CTD030; DY086_CTD031; DY086_CTD032; DY086_CTD033; Eddy diffusivity; Event label; Flow cytometer, Becton Dickinson, FACSort; Fluorometer, Chelsea Instruments, Aquatracka MKIII; fluxes; High Temperature Catalytic Oxidation (Shimadzu TOC-VCPN); LATITUDE; Leucine uptake rate; Liquid scintillation counter, Packard, TRI-CARB 3100TR; LONGITUDE; marine biogeochemistry; Net primary production of carbon; Nitrate; Organic Elemental Analyzer, Thermo Fisher Scientific, Flash 2000; Oxygen; Oxygen saturation; PAR sensor, Biospherical, LI-COR, SN 70510; PAR sensor, Biospherical, LI-COR, SN 70520; Phosphate; Radiation, photosynthetically active; Radioassays, liquid scintillation counting; Salinity; Scattering meter, WET Labs, ECO-BB OBS; Silicate; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water; Temperature sensor, SEA-BIRD SBE 3Plus; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 171794 data points
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  • 28
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    Lithological information, strontium, rubidium and carbon concentrations and Sr and C isotope data of samples from OmanDP Hole BT1B (Semail ophiolite; ICDP Oman drilling project) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This database provides measurements on 87Sr/86Sr, d13C from samples of Oman Drilling Project Hole BT1B. The database includes listvenites (n=50), serpentinites (n=14), metamorphic sole rocks (n=11). The sample names and grouping by Units were determined on-board D/V Chikyu from macroscopic observations (Visual Core Description; Kelemen et al. [2020]). Rb and Sr concentrations were determined using a Quadrupole Inductively-Coupled-Plasma-Mass Spectrometer (Q-ICP-MS) at the University of Montpellier (France) and were originally reported by Godard et al. (2021). 87Sr/86Sr were analyzed for interspersed with US National Institute of Standards and Technology (NIST) SRM 987 on a Thermo Scientific Neptune multi-collector ICP-MS at Lamont Doherty Earth Observatory (United States). Total Carbon (TC) was measured from the same bulk rock powder splits as for Strontium isotopes. Total Organic Carbon (TOC, or reduced carbon) was measured from the residual rock powder after the removal of Inorganic Carbon (carbonate carbon) through reaction with dilute (3 N) HCl for at least 3 days, followed by washing with Millipore® water. Concentrations and d13C ratios of Total Carbon (TC) and Total Organic Carbon (TOC), were determined using a Costech element analyzer coupled with a Thermo Scientific Delta V plus mass spectrometer at Lamont Doherty Earth Observatory (United States). References: Reference : Kelemen, P. B., J. M. Matter, D. A. H. Teagle, J. A. Coggon, and the Oman Drilling Project Science Team (2020), Proceedings of the Oman Drilling Project, College Station, TX. and Godard, Marguerite; Carter, Elliot; Decrausaz, Thierry; Lafay, Romain; Bennett, Emma; Kourim, Fatma; de Obeso, Juan-Carlos; Michibayashi, Katsuyoshi; Harris, Michelle; Coggon, Jude; Teagle, Damon A H; Kelemen, Peter B; The Oman Drilling Project Phase 1 Science Party (2021): Lithology, major, volatile and trace element composition of Hole BT1B samples (Semail ophiolite; ICDP Oman drilling project). PANGAEA, https://doi.org/10.1594/PANGAEA.937490
    Keywords: 87Sr/86Sr; carbonated peridotite; d13C; Geochemistry; OmanDP; Oman Drilling Project; Samail Ophiolite
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 29
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    Biomarker data of sediment core ARA04C/37, Beaufort Sea, Arctic Ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: A biomarker approach is applied on a well-dated core from the Beaufort Sea directly off the Mackenzie River to reconstruct changes in sea ice, sea surface temperature (SST), primary productivity, and terrigenous input. High-resolution records indicate that the southern Beaufort Sea was nearly ice-free in summer during the last deglaciation and early Holocene, and a seasonal sea-ice cover developed during the mid-late Holocene, coinciding with a drop in terrigenous sediment flux and primary production. Superimposed to this climate-driven long-term change in surface-water characteristics, we document two major flood events during the deglacial to Holocene transition. Such major flood events in the Beaufort Sea region may have profound effect on global climate change, especially during times when the massive Laurentide Ice Sheet (LIS) collapsed, and huge amount of freshwater was drained into the Beaufort Sea. This freshening of the Arctic Ocean may have resulted in increased freshwater export into the North Atlantic, causing reduced North Atlantic deep-water formation. The first flood event occurring at ca. 13 kyr BP is related to the Younger Dryas (YD) flood which may have caused severe cooling. The second flood event occurred at ca. 11 kyr BP, whose existence has been hypothesized for a long time but restricted by quality records. Through studies of our sediment core and other records nearby, we hypothesize that the second flood event is more related to shelf flooding induced by strong coastal erosion. 

    Keywords: Arctic Ocean; Beaufort Sea; GDGT; IP25; Sea ice; sterols
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 30
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    Response of the microbial food web to gradients of organic matter and grazing pressure and multi-stressor effect in incubation experiments in three different marine ecosystems: Patagonia, Arctic and Mediterranean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The data-sets comes from three locations representative of three different marine ecosystems: Fjord (Chilean Patagonia), Ny-Ålesund (Arctic) and Mediterranean (Crete). It contains chemical and biological data collected in three mesocosm and four microcosm experiments conducted in the spring - summer period, in which the physico-chemical (pH, Carbon) and biological (grazing) conditions were altered to represent potential future climate change scenarios. The data-sets contains measurements in: carbonate chemistry, macro- and micro-nutrients concentrations, primary production, phytoplankton taxonomy, virus abundance, bacterial production, bacterial abundance, Zoo- and microzoo-plankton abundance, grazing rates for different taxonomic groups.
    Keywords: Arctic; Climate change; climatic; fjords; Marine ecosystems; Mediterranean; Microbial Food Web; multi-stressors; non-climatic; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 31
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    Pore water, headspace gas and TOC data from ARA06C Expedition (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Here we represent pore water, headspace gas, and TOC data from the four cores recovered from the Chukchi Sea by Jumbo Piston Corer (JPC) during the ARA06C Expedition in 2015 to investigate the origin and diagenesis of pore water and gas. The study cores were retrieved from the Chukchi Sea Shelf (ARA06C-JPC01), the Northwind Basin (ARA06C-JPC02), the East Siberia Continental Slope (ARA06C-JPC03), and the Chukchi Basin (ARA06C-JPC04). We collected pore water from Site ARA06C-JPC01, ARA06C-JPC02, ARA06C-JPC03, and ARA06C-JPC04 and performed compositional and isotopic analyses (e.g. major cation and anions, oxygen, and deuterium isotope, carbon-13 isotope of dissolved carbon, 87Sr/86Sr). The analyzed results of pore water were displayed in the PW Table. The compositional and isotopic data of headspace gas (e.g. methane concentration, and carbon-13 isotope of methane and carbon dioxide) from Site ARA06C-JPC01, ARA06C-JPC02, ARA06C-JPC03, and ARA06C-JPC04 as well as TOC content of bulk sediment from Site ARA06C-JPC01, were represented in the HS Table and TOC Table, respectively.
    Keywords: ARA06C Expedtion; Chukchi Sea; Headspace Gas; pore water; TOC
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 32
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    Biomarker and radiocarbon data of core ARA04C/37 and JPC15 from the Beaufort Sea, Arctic Ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: These data have been obtained on two cores ARA04C/37 (70°38.0212'N, 139°22.0749'W; 1173 m) and JPC15 (71°06.222'N, 135°08.129'W; 690 m). The datasets contain thermal maturity proxies, specifically of Carbon Preference Index (CPI), fractional abundance of homohopane isomer C31ββR, and Tmax, and OI, HI from the Rock-Eval pyrolysis. Additionally, compound-specific radiocarbon concentrations of bulk organic carbon and long-chain n-alkanoic acids with 26 and 28 carbon atoms have been measured and expressed as F14C with a 1 sigma uncertainty, and counts of Pediastrum spp. An additional dataset contains carbon cycle model simulations using the box model BICYCLE to describe the effect of CO2 release from deglacial terrestrial organic carbon release.
    Keywords: Arctic Ocean; Beaufort Sea; BICYCLE-SE carbon cycle model; Biomarker; radiocarbon isotope (Fm); Rock-Eval
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 33
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    Hydrographical, biogeochemical and biooptical water properties in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset contains hydrographical, biogeochemical and bioptical data from four field campaigns to the Mackenzie Delta region from spring to fall in 2019. Focus of the sampling was put on surface waters to compare with satellite imagery and capture the signal of the Mackenzie River water throughout the coastal waters of the Beaufort Sea. The water samples for the biogeochemical data were taken using pumps or niskin bottles. The repeated sampling focused on the two main outflow regions of the Mackenzie River: Shallow Bay and Mackenzie Bay in the west and Kugmallit Bay in the east as well as on the river channels across the delta. Most sampling locations were revisited four times. Sampling during different seasons was extremely challenging in this region due to uncertain ice cover and broken ice fields during and after ice break-up. Additionally, very shallow water (〈5 m) mandates the use of small draught boats, which was challenging under frequently harsh weather conditions. To tackle these challenges, various sampling platforms were used such as small boats, trucks, ski-doos and hovering helicopter. The campaigns were carried out under the umbrella of the EU Horizon 2020 project Nunataryuk.
    Keywords: biogeochemistry; Biooptics; Coastal waters; hydrographic data; Mackenzie; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation
    Type: Dataset
    Format: application/zip, 13 datasets
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  • 34
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    Lithology, volatile, major and trace element composition of Holes CM1A and CM2B ultramafic samples drilled in Wadi Tayin massif, SE Oman ophiolite (ICDP Oman drilling project Phase 2 Leg 3) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The database reports the results of bulk rock geochemical measurements realized on 105 ultramafic lithologies (harzburgites and dunites) samples collected from Holes CM1A (46 samples) and CM2B (59 samples) drilled in the Wadi Tayin massif in the SE of the ophiolite during Phase 2 of the ICDP OmanDP (Nov. 2017-Jan. 2018) (Kelemen et al. [2020]). The studied samples were selected following two strategies. First, a homogeneous sample was selected every 10 m downhole cores during the OmanDP Phase 2 drilling operations, onsite in Oman, in order to get a petrological and geochemical overview continuously along the cores. Second, additional samples have been selected during the daily ChikyuOman Leg 3 sampling meetings in consultation with the core description teams, to focus on more specific facies or levels. These samples are referred to as onsite samples and shipboard samples respectively. Adjacent to each onsite and shipboard sample an oriented thin section billet was taken for mineralogical and lithological characterization. Geochemical data of onsite and shipboard samples were measured both aboard the D/V Chikyu during the ChikyuOman Phase 2 Leg 3 for major element and volatile contents for part of the samples, and at Institute of Earth Science, Academia Sinica, Taiwan (IES-AS), the University of Edinburgh, Scotland (EU), Université Toulouse III - Paul Sabatier, France (TU), and Niigata University, Japan (NU) for trace element contents and additional major element and volatile contents. The purpose of the study was to obtain a high-density and high analytical quality bulk geochemical characterization along continuous cores recovered from OmanDP Holes CM1A and CM2B, from the crust to the mantle through the crust-mantle transition zone. Loss on ignition (LOI) of all onsite and shipboard samples were determined onboard the D/V Chikyu, using the OHTI (Ocean High Technology Institute, Inc., Tokyo, Japan) motion compensated balance system into a pre-weighed ceramic crucible using a spatula (that was never in contact with lithium metaborate flux). Duplicate LOI measurements were done on the onsite samples at EU, following the same steps and procedures. Major element abundances (wt.% oxides) in powdered rock samples were determined using the RIGAKU Supermini wavelength dispersive X-ray fluorescence spectrometer equipped with a 200 W Pd anode tube at 50 kV and 4 mA onboard DV Chikyu during OmanDP Phase 2 Leg 3. Major element analyses were determined to be acceptable if the sum of the anhydrous oxide concentrations totaled to between 99 and 101 wt.%. Precision and accuracy are better than 2.5 % for all oxides except for TiO2 for reference materials DTS-2B and JP-1 (better than 11%) and Na2O, P2O5 and K2O for JGb-2 (3.40, 17.60, and 7.49% respectively). Duplicates of onsite samples whole rock major element analyses were performed at EU, using the Panalytical PW2404 wavelength-dispersive sequential X-ray spectrometer. Gas chromatographic separation was undertaken on non-ignited powders to determine their volatile element contents (total carbon, CTotal and water recalculated from hydrogen) using the Thermo Finnigan™ FlashEA® 1112 elemental analyzers (EA) onboard D/V Chikyu. Whole rock trace element analyses were measured by ICP-MS using acid digestion of powder samples after ChikyuOman 2018 Leg 3. Sample powders were divided into three batches. One batch was sent to each IES-AS, TU and NU laboratory for trace element measurements. The measurements were conducted at IES-AS using an Agilent 7500s inductively coupled plasma‐mass spectrometer (ICP‐MS); at TU using a Thermo Scientific™ Element XR™ HR-ICP-MS; and at NU using Yokogawa HP4500 ICP-MS. To compare the accuracy and the precision in the three different laboratories, trace element measurements were performed on a selection of duplicate samples, and on the same reference materials (DTS-2B and JP-1a).
    Keywords: Dunites; Geochemistry; Harzburgites; Holes CM1A and CM2B; ICDP Oman Drilling Project; OmanDP; Oman Drilling Project; Oman ophiolite Crust-Mantle transition; Peridotite Carbonation; serpentinite; trace element
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 35
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    Palynological and sedimentological data from the Isfjorden core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Palynological and sedimentological analyses were performed on the sediment core HH16-1205-GC retrieved from the central Isfjorden, West Spitsbergen in order to retrace the climate of the last 7000 years. The record revealed an overall cooling trend with an important climate shift between 4.4 and 3.8 cal. ka BP, and millennial-scale oscillations. Over the last 7000 years, sea-surface reconstruction from dinocyst assemblages indicates a decrease in summer sea-surface temperature, from 2.5 to 1.5 °C, and primary productivity, from 750 to 650 gC m-² a-1. Predominant sediment supply from the inner part of the fjord, ice rafting, dense sea-ice cover, strongly stratified water masses, and high primary productivity is observed in the sedimentological and palynological data between 6.8 and 5.8 cal. ka BP. The interval from 4.4 to 3.8 cal. ka BP is marked by a layer of coarser material followed by a significant decrease in the grain size mode, as well as changes in geochemical properties. large-amplitude fluctuations is observed in our geochemical data after 2.0 cal. ka BP, while an increase of the dinocysts Impagidinium pallidum and Spiniferites elongatus from 2.0 to 1.2 cal. ka BP suggests enhanced Atlantic Water inflow. The sea surface conditions reconstructions and XRF ratios also reveal large-amplitude millennial fluctuations. Wavelet analysis and cross-wavelet analysis performed on multiple variables confirm a strong cyclic signal with a periodicity of 1200 to 1500 years.
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 36
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    Bulk mineral assemblage of sediment cores from Svalbard fjords determined via full pattern QXRD (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The XRD data has been gained from pulverized and homogenized samples of every 5 cm by KOPRI personal at KOPRI and University of Tromsoe sampling parties. XRD raw measurements were run at Crystallography, Geosciences, University of Bremen in 2018-2020. Measurement conditions: Philips X'Pert Diffractometer, Cu radiation, fixed divergence, secoundary Ni filter, 3-85 ° 2theta, 0.0016° step size, 100 sec calculated step time. XRD mineral assemblage determination were subsequently gained through the QUAX full pattern quantitative determination software (see Vogt et al. 2002 at Pangaea methods wiki). The software allows for differentiation of all minerals. Here, the Fe-oxides and hydroxides were in the focus of the research manuscript. A QXRD investigation allows for not only identification of mineral content but also for detailing authigenic vs. allochthonous minerals, transport of detrital input to the sediment core and the interpretation of the transport processes and the local environment as well as the paleoceanographic reconstruction of the region. Sediment ages are given through the below mentioned data sets. A series of fjord surface sediments were collected from various Svalbard fjord systems during expeditions of RV Helmer Hanssen from UiT The Arctic University of Norway between 2012 and 2019 (Fig. 1). Four gravity cores were retrieved along a 150 km long N‒S transect from the continental shelf off northern Svalbard to the innermost Wijdefjorden: core HH17-1085-GC (hereafter 1085; 80.27°N, 16.21°E, 322 m water depth; continental shelf), HH17-1094-GC (hereafter 1094; 79.74°N, 15.42°E, 148 m water depth; fjord mouth), HH17-1100-GC (hereafter 1100; 79.30°N, 15.78°E, 112 m water depth; central fjord), and HH17-1106-GC (hereafter 1106; 79.00°N, 16.21°E, 160 m water depth; inner fjord)
    Keywords: Full Pattern Quantification with QUAX software; Holocene Research; Korean Polar Institute; Svalbard fjords; XRD
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 37
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    A global database of dissolved organic matter (DOM) concentration measurements in coastal waters (CoastDOM v.1) (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This global database (CoastDOM v.1) contains both previously published and unpublished measurements of Dissolved organic carbon (DOC), nitrogen (DON) and phosphorus (DOP) in coastal waters. The dataset also contains hydrographic data such as temperature and salinity and, to the extent possible, other biogeochemical variables (e.g., Chlorophyll-a, inorganic nutrients) and the inorganic carbon system (e.g., dissolved inorganic carbon and total alkalinity). The data included were collected from 1978 to 2022 and consist of 62339 data points for DOC, 20360 for DON and 13440 for DOP.
    Keywords: Alkalinity, total; Ammonium; Analytical method; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, organic, particulate; Chlorophyll a; Coastal waters; Comment; DATE/TIME; DEPTH, water; Dissolved Organic Carbon; Dissolved Organic Matter; dissolved organic nitrogen; dissolved organic phosphorus; ELEVATION; global database;; Hydrogen phosphate; Institution; LATITUDE; Location; LONGITUDE; Nitrate and Nitrite; Nitrogen, organic, dissolved; Nitrogen, particulate; Nitrogen, total dissolved; Phosphorus, organic, dissolved; Phosphorus, particulate; Phosphorus, total dissolved; Principal investigator; Quality flag, alkalinity, total; Quality flag, ammonium; Quality flag, carbon, inorganic, dissolved; Quality flag, carbon, organic, dissolved; Quality flag, carbon, organic, particulate; Quality flag, chlorophyll a; Quality flag, hydrogen phosphate; Quality flag, nitrate and nitrite; Quality flag, nitrogen, particulate; Quality flag, nitrogen, total dissolved; Quality flag, phosphorus, particulate; Quality flag, phosphorus, total dissolved; Reference/source; Salinity; Sample ID; Suspended solids, total; Temperature, water; World Oceans Circulation Experiment (WOCE) quality flags according to Jiang et al. (2022)
    Type: Dataset
    Format: text/tab-separated-values, 1286555 data points
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  • 38
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    Global Early Instrumental Monthly Meteorological Multivariable Database (HCLIM) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and the construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data has been merged from 18250 original data files. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate data set for the preindustrial period.
    Keywords: A Palaeoreanalysis To Understand Decadal Climate Variability; de-duplication; early instrumental; GlobCover; PALAEO-RA; paleoclimatology; Paleometeorology; quality control; Time series
    Type: Dataset
    Format: application/zip, 24 datasets
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  • 39
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    Master track of SONNE cruise SO270 in 1 sec resolution (zipped, 27.2 MB) (2020)
    PANGAEA
    In:  University of Hamburg, Germany
    Details
    Publication Date: 2024-04-27
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO270 were processed to receive a validated master track which can be used as reference of further expedition data.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; MASCARA; SO270; SO270-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 27.2 MBytes
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  • 40
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    Diatom concentrations and fluxes from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Relative contribution of the “marginal ice zone”, “drift-ice/pack-ice” and “summer subsurface” diatom indicator groups, diatom valve and Chaetoceros resting spore concentrations (valves or spores/g), diatom valve and Chaetoceros resting spore fluxes (valves or spores/unit surface area/yr), and total diatom fluxes (valves and spores/unit surface area/yr) from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: AGE; Age, error; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; CASQ; CCGS Amundsen; Chaetoceros, spores, flux; Chaetoceros spp. resting spores per unit sediment mass; DEPTH, sediment/rock; diatoms; Diatoms; Diatoms, pelagic; Diatoms, sea-ice; Diatoms, total, flux; Diatoms, valves, flux; Diatom valves, per unit sediment mass; Geochemistry; Highly branched isoprenoid (HBI) biomarkers
    Type: Dataset
    Format: text/tab-separated-values, 749 data points
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  • 41
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    PALMOD 130k marine palaeoclimate data synthesis V1_0_1 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Updates since v1.0: no new sites, corrected minor errors and improved standardisation in metadata.
    Keywords: File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 42
    facet.materialart.
    Unknown
    Water column raw data (Kongsberg EM710 entire dataset) of RV SONNE during cruise SO270 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water column raw data using the ship's own Kongsberg EM 710 multibeam echosounder was not continuously recorded during RV SONNE cruise SO270. Data was recorded only on 10 days between 2019-09-23 and 2019-10-09 in the Indian Ocean at the Saya de Malha Bank / Sommerville Bank. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH and added to the corresponding multibeam raw dataset doi:10.1594/PANGAEA.954995 This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; EM710 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; MASCARA; Multibeam Echosounder; Number of pings; Ship speed; SO270; SO270_0_Underway-3; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 1764 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
    facet.materialart.
    Unknown
    Net-derived biomass, respiration and ingestion data from three visits to site P3 during an austral spring bloom in 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Data derived from net catches for zooplankton and micronekton during the COMICS cruise DY086 in November to December, 2017. Raw catch counts and biomass measurements have been used alongside published values to provide biomass, respiration and ingestion data between 0 and 500 metres depth (Belcher et al. 2022, Cook et al. 2023, Stowasser et al. 2020). Data values are from multiple net deployments and the number of deployments for each value are provided in the dataset. Bongo, Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) and Rectangular Midwater Trawl (RMT) nets collected small (100 μm mesh; day only), medium (330 μm mesh; day and night) and large (4000 μm mesh; day and night) samples, respectively.
    Keywords: 74EQ20171115; biological carbon pump; biology; BONGO; Bongo net; Calculated; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; Date/Time of event 2; DEPTH, water; Depth, water, bottom/maximum; Depth, water, top/minimum; Discovery (2013); DY086; DY086_Bongo_P3A; DY086_Bongo_P3B; DY086_Bongo_P3C; DY086_MOCNESS_P3B; DY086_MOCNESS_P3C; DY086_RMT_P3A; DY086_RMT_P3B; DY086_RMT_P3C; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Mean values; MOC; MOCNESS opening/closing plankton net; Rectangular midwater trawl; RMT; Run Number; Runs; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Time of day; Zooplankton and micronekton, biomass as carbon; Zooplankton and micronekton, ingestion rate as carbon; Zooplankton and micronekton, respiration rate as carbon
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
    facet.materialart.
    Unknown
    Response of the microbial food web to a multi-stressor (increase in organic matter, grazing pressure and decrease in pH) effect in incubation experiments in the Arctic: Microcosm (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 19-Hexanoyloxyfucoxanthin; Abundance; Abundance per volume; Alloxanthin; Ammonium; Arctic; Arctic: Ny-Alesund - (west coast of Spitsbergen); Bacterial production; beta-Carotene; Biomass as carbon per volume; Carbon, organic, dissolved; Chlorophyll a; Chlorophyll b; Chlorophyll c2; Chlorophyll c3; Chlorophyllide a; Climate change; climatic; DATE/TIME; Day of experiment; Diadinoxanthin; Diatoxanthin; fjords; Fucoxanthin; Gross community production of oxygen; Hydrogen peroxide, water; Iron; Lutein; Marine ecosystems; Mediterranean; MESO; Mesocosm experiment; Microbial Food Web; Monovinyl chlorophyll a; multi-stressors; Net community production of oxygen; Nitrate; non-climatic; Number; OC_Arctic_Mesocosm; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; Peridinin; pH; Pheophorbide a; Pheophytin a; Phosphate; Primary production of carbon; Respiration rate, oxygen; Silicate; Time in hours; Treatment; Violaxanthin; Zeaxanthin; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 6036 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 45
    facet.materialart.
    Unknown
    IP25 and highly branched isoprenoids of sediment core ARA04C/37, Beaufort Sea, Arctic Ocean915044 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 37GVC1; Accumulation rate, (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene; Accumulation rate, 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; DEPTH, sediment/rock; GC; GDGT; Gravity corer; IP25; Phytoplankton biomarker Dinosterol IP25 index; Phytoplankton biomarker HBI TR25 index; Sea ice; sterols
    Type: Dataset
    Format: text/tab-separated-values, 534 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    TOC content of bulk sediments at Site ARA06C-JPC01 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARA06C; ARA06C Expedtion; ARA06C-JPC01; Araon; Carbon, organic, total; Chukchi Sea; Chukchi shelf; DATE/TIME; DEPTH, sediment/rock; Event label; Headspace Gas; JPC; Jumbo Piston Core; LATITUDE; LONGITUDE; pore water; Rock-Eval 6 (Vinci Technologies); Sample ID; TOC
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    Particulate organic carbon (POC) and particulate organic nitrogen (PON) concentrations in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Particulate organic carbon (POC) and particulate organic nitrogen (PON) concentrations were obtained from water samples filtered on precombusted (450°C for 〉5 hours) 47mm Whatmann GF/F (0.7 µm) filters. The filters were dried overnight at 60°C and vacuum-sealed for storage in aluminum foil kept at -20°C until analysis. To determine POC and PON concentrations, the filters were acidified with 200-350 µl HCl 2N to remove carbonates, dried at 60°C overnight and then burned on a pre-calibrated CHN analyzer (Perkin Elmer, combustion at 925°C) for determination of the CO2 produced (Doxaran et al. 2012; doi:10.5194/bg-9-3213-2012).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Carbon, organic, particulate; Carbon Hydrogen Nitrogen (CHN) analyzer (Perkin Elmer); Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; Nitrogen, organic, particulate; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Station label
    Type: Dataset
    Format: text/tab-separated-values, 552 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
    facet.materialart.
    Unknown
    Colored dissolved organic matter absorption (aCDOM) and spectal slopes (S) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Measurement of CDOM absorption was conducted from a water sample within 12 hours of collection using an UltraPath liquid waveguide system (World Precision Instruments, Inc.) over the wavelengths ranging from 200 to 722 nm (see also Matsuoka et al. (2012; doi:10.5194/bg-9-925-2012) for details). To minimize temperature effects, both the sample and the reference water were kept at 4 °C for at least 30 minutes prior to analysis. We followed the International Ocean Colour Coordinating Group (IOCCG) Ocean Optics and Biogeochemistry CDOM protocols (Mannino et al., 2019 (see further details)) with a few modifications: 1) reference water with salinity ±2 relative to the sample was prepared on site a few hours before sample analysis to minimize the effect of difference in refractive index between sample and reference; 2) aCDOM(λ) was measured in flow mode, meaning, a measurement was made while water was running using a peristaltic pump (Lefering et al., 2017; doi:10.1364/AO.56.006357). While the use of a long optical cell provides a good better signal particularly withinin the visible spectral domain essential to SOCRS, it necessarily suffers from light saturation in the UV domain. To overcome this issue, an optimal length of a cell (i.e. 10 cm or 200 cm) was selected following an empirical relationship between optical density observed at 350 and 443 nm based on Matsuoka et al. (2012; doi:10.5194/bg-9-925-2012). For each sample, measurements were done in triplicates of which each was visually inspected for quality control. CDOM measurements were fitted using following equation: a_CDOM (λ)=a_CDOM (λ_0 )*e^(-S(λ-λ_0)), where S is the spectral slope of aCDOM(λ) between 350 and 500 nm (Babin et al., 2003; doi:10.1029/2001JC000882 and Matsuoka et al., 2012; doi:10.5194/bg-9-925-2012).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; Absorption coefficient, colored dissolved organic matter at 254 nm; Absorption coefficient, colored dissolved organic matter at 350 nm; Absorption coefficient, colored dissolved organic matter at 375 nm; Absorption coefficient, colored dissolved organic matter at 443 nm; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Spectral slope of colored dissolved organic matter absorption, 350-500 nm; Station label; UltraPath, World Precision Instruments, Inc.
    Type: Dataset
    Format: text/tab-separated-values, 877 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 49
    facet.materialart.
    Unknown
    Particle absorption (aP) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Absorbance of particles retained on GF/F (0.7 µm) filters was measured using a Varian Cary 100 spectrophotometer equipped with an integrated sphere. Absorbance and reflectance spectra were measured by placing a sample filter in front and back of an integrating sphere, respectively (so-called Transmittance-Reflectance or T-R method; Tassan & Ferrari 1995; doi:10.4319/lo.1995.40.8.1358). An appropriate beta factor specific to the geometry of the instrument was used to calculate absorption coefficients of particles (Tassan & Ferrari 2002; doi:10.1093/plankt/24.8.757).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; Absorption coefficient, 360 nm; Absorption coefficient, 380 nm; Absorption coefficient, 400 nm; Absorption coefficient, 412 nm; Absorption coefficient, 443 nm; Absorption coefficient, 490 nm; Absorption coefficient, 510 nm; Absorption coefficient, 530 nm; Absorption coefficient, 551 nm; Absorption coefficient, 555 nm; Absorption coefficient, 560 nm; Absorption coefficient, 565 nm; Absorption coefficient, 620 nm; Absorption coefficient, 645 nm; Absorption coefficient, 667 nm; Absorption coefficient, 673 nm; Absorption coefficient, 683 nm; Absorption coefficient, 709 nm; Absorption coefficient, 745 nm; Absorption coefficient, 765 nm; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Station label; VARIAN CARY 100 equipped with an integrating sphere
    Type: Dataset
    Format: text/tab-separated-values, 3052 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
    facet.materialart.
    Unknown
    Remote sensing reflectance (Rrs) of the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Vertical profiles of downwelling irradiance (Ed) and upwelling radiance (Lu) were measured during legs 2, 3, and 4 using a Compact-Optical Profiling System (C-OPS) in an ICE-Pro frame from Biospherical Instruments, Inc. (for a detailed description see Morrow et al. 2010 (see further details)). Additionally, above-surface incident downward irradiance (Es(0+)) was measured at about two meters above sea level and was used to correct in-water Ed and Lu for changes in the incident light field during Lu profiling (Zibordi et al., 2019; doi:10.25607/OBP-691). All radiometric quantities were measured at 19 wavelengths spanning from 380 to 875 nm. In-water profiles were obtained from the boat using a 3 m long pole, deployed towards the sun to avoid shading from the boat. The data that were acquired with a tilt of more than 5 degrees were discarded (Hooker et al., 2013; doi:10.5194/bg-10-4511-2013). Due to the high absorption and scattering coefficients in the sampled waters and considering relatively large dimensions of the ICE-Pro, self-shading correction was not negligible. Absorption observed in the present study were mostly outside the limits examined by Gordon and Ding (1992; doi:10.4319/lo.1992.37.3.0491), suggesting the application of the correction questionable. To overcome this issue, we performed Monte-Carlo simulations using the SimulO software (Leymarie et al., 2010; doi:10.1364/AO.49.005415) for examining the self-shading correction factor on Lu at null depth (Gerbi et al., 2016 (doi:10.1175/JTECH-D-16-0067.1); Leymarie et al., 2018 (doi:10.3389/fmars.2018.00437)). The exact dimensions of the ICE-Pro were simulated and virtually placed at a depth of 0.5 m. A wide range of IOPs was considered to cover the conditions encountered in the field. The simulations provide a robust relationship between the computed self-shading and the quantity x = a + bb, where a is the total measured absorption coefficient (i.e., the contributions of pure water, CDOM, algal and non-algal particles) and bb is the total backscattering coefficient (i.e., the contributions of water molecules and particles). The shade-corrected upwelling radiance (Lu corrected) can be expressed as a function of the measured radiance (Lu measured) as: (1) L_u(corrected)=(L_u(measured))/((1-ε)), (2) ε=1-e^(-0.14*(a+bb)), where (2) is fitted for solar zenith angles 〉 45° and bb (which was not measured in the field) was calculated using an empirical relationship from the Malina-cruise dataset (Doxaran et al., 2012 (doi:10.5194/bg-9-3213-2012); Massicotte et al., 2020 (doi:10.5194/essd-13-1561-2021)). Subsurface downward irradiance and upward radiance Ed(0-) and Lu(0-) were estimated with an iterative linear fitting of the log-transformed Ed(z) and Lu(z) vs depth z. Fitting was applied to successively greater depths until the correlation coefficient (r2) exceeded 0.99 or until the layer thickness reached 2.5 m (Bélanger et al., 2017; doi:10.1175/JTECH-D-16-0176.1). Remote Sensing Reflectance (Rrs) was calculated following Mobley (1999; doi:10.1364/AO.38.007442) with: Rrs(λ)=(0.54*L_u (0^-,λ))/(E_s(0^+,λ)). To calculate the Rrs we used the R "Cops" package (https://github.com/belasi01/Cops) (Bélanger 2017: doi:10.1175/JTECH-D-16-0176.1).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Coastal waters; Compact-Optical Profiling System (C-OPS), ICE-Pro frame (Biospherical Instruments, Inc.); Cruise/expedition; DATE/TIME; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 412 nm; Remote sensing reflectance at 443 nm; Remote sensing reflectance at 490 nm; Remote sensing reflectance at 510 nm; Remote sensing reflectance at 560 nm; Remote sensing reflectance at 665 nm; Remote sensing reflectance at 683 nm; Remote sensing reflectance at 710 nm; Remote sensing reflectance at 765 nm; Remote sensing reflectance at 778 nm; Remote sensing reflectance at 865 nm; Station label
    Type: Dataset
    Format: text/tab-separated-values, 856 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 51
    facet.materialart.
    Unknown
    Methane and nitrous oxide dissolved gas concentrations in seawater from the North American Arctic Ocean (2015–2018) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset contains methane and nitrous oxide dissolved gas concentration, dissolved methane carbon isotope, and ancillary hydrographic data from research cruises in the North American Arctic Ocean between 2015-2018. Ocean samples for methane and nitrous oxide analysis were collected from Niskin bottles mounted on a CTD rosette. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). Equilibrium dry atmospheric concentrations were 328.25, 329.14, 330.11, and 330.96 ppb for N2O and 1919.64, 1933.67, 1934.92, and 1933.50 ppb for CH4 in 2015, 2016, 2017, and 2018, respectively. Equilibrium dissolved concentrations were calculated from the measured temperature and salinity following Wiesenburg and Guinasso (1979) for CH4 and Weiss and Price (1980) for N2O. Equilibrium concentrations were calculated based on sample temperature and salinity and the atmospheric N2O or CH4 concentrations measured at Barrow, Alaska by the NOAA Earth System Research Laboratory Global Monitoring Division (Dlugokencky et al., 2020a,b), with corrections to local sea level pressure and 100% humidity. Oxygen concentration was determined using an oxygen sensor mounted on the Niskin rosette, calibrated with discrete samples analyzed by Winkler titration. The mixed layer depth was defined based on a potential density difference criterion of 0.125 kg/m³ relative to the density at 5 m depth, using CTD profiles binned to 1 m. The mixed layer depth was set to 5 m as a minimum. For methane δ13C, samples were pre-concentrated through a purge and trap system (Finnigan PreCon Trace Gas Pre-Concentrator) and measured with a Finnigan Delta XP Plus mass spectrometer following the method of Damm et al. (2015).
    Keywords: 101; 105; 108; 111; 115; 126; 129; 131; 176; 177; 180; 2015-006; 2015-007; 2016-016; 2016-017; 2017-011; 2017-093; 2018-063; 2018-081; 301; 304; 312; 314; 322; 323; 325; 333; 343; 344; 405; 408; 420; 421; 424; 426; 428; 430; 432; 434; 437; 470; 472; 474; 476; 478; 480; 482; 5.1; 535; 554; 694; 732; 736; A16; A2; A8; AG5; AMD15_2; AMD15_2_312-1; AMD15_2_314-1; AMD15_2_325-1; AMD15_2_BB2-1; AMD15_2_BB3-1; AMD15_2_CAA1-1; AMD15_2_CAA2-1; AMD15_2_CAA4-1; AMD15_2_CAA5-1; AMD15_2_CAA6-1; AMD15_2_CAA7-1; AMD15_2_VS-1; AMD16_3a; AMD16_3a_405-1; AMD16_3a_408-1; AMD16_3a_420-1; AMD16_3a_421-1; AMD16_3a_424-1; AMD16_3a_426-1; AMD16_3a_428-1; AMD16_3a_430-1; AMD16_3a_432-1; AMD16_3a_434-1; AMD16_3a_437-1; AMD16_3a_470-1; AMD16_3a_472-1; AMD16_3a_474-1; AMD16_3a_476-1; AMD16_3a_478-1; AMD16_3a_480-1; AMD16_3a_482-1; AMD16_3a_535-1; AMD16_3a_554-1; AMD16_3b; AMD16_3b_312-1; AMD16_3b_314-1; AMD16_3b_343-1; AMD16_3b_344-1; AMD17_2; AMD17_2_101-1; AMD17_2_105-1; AMD17_2_108-1; AMD17_2_111-1; AMD17_2_115-1; AMD17_2_126-1; AMD17_2_129-1; AMD17_2_131-1; AMD17_2_176-1; AMD17_2_180-1; AMD17_2_301-1; AMD17_2_304-1; AMD17_2_312-1; AMD17_2_322-1; AMD17_2_323-1; AMD17_2_325-1; AMD17_2_333-1; AMD17_2_5.1-1; AMD17_2_694-1; AMD17_2_732-1; AMD17_2_736-1; AMD17_2_A16-1; AMD17_2_A2-1; AMD17_2_A8-1; AMD17_2_BB1-1; AMD17_2_BB2-1; AMD17_2_BB3-1; AMD17_2_BELLOT-1; AMD17_2_FS2Deep-1; AMD17_2_FS2Shallow-1; AMD17_2_QMG1-1; AMD17_2_QMG2-1; AMD17_2_QMG3-1; AMD17_2_QMG4-1; AMD17_2_QMGM-1; AMD17_2_TS233-1; AMD18_3; AMD18_3_101-3; AMD18_3_115-3; AMD18_3_177-3; AMD18_3_312-3; AMD18_3_322-3; AMD18_3_DFO-9-3; AMD18_3_DiskoFan-3; AMD18_3_Lophelia-3; AMD18_3_NearTrinity-3; AMD18_3_NLSE-07-3; AMD18_3_QMG1-3; AMD18_3_QMG2-3; AMD18_3_QMG3-3; AMD18_3_QMG4-3; AMD18_3_QMGM-3; AMD18_3_ScottInlet0t2-3; AMD18_3_ScottInlet-3; AMD18_3_SWGreenland3-3; AN1702; Arctic; ArcticNet; ArcticNet/ESRF; ArcticNet/The W. Garfield Weston Foundation; Arctic Ocean; BarC-1; BarC-10; BarC-2; BarC-4; BarC-5; BarC-6; BarC-8; BB1; BB2; BB3; BCL-6A; BELLOT; BL1; BL2; BL3; BL4; BL6; BL8; Bottle number; BRS-3; CAA1; CAA2; CAA4; CAA5; CAA6; CAA7; Calculated; Canadian Coast Guard (Sir W. Laurier); Cast number; CB1; CB23a; CB28aa; CB28b; CB31b; CB4; CCGS Amundsen; CTD, Sea-Bird; CTD/Rosette; CTD-RO; DATE/TIME; DBO4.1; DBO4.2; DBO4.2n; DBO4.3; DBO4.3n; DBO4.4; DBO4.4n; DBO4.5; DBO4.5n; DBO4.6; DBO4.6n; DEPTH, water; DFO-9; DiskoFan; Event label; FS2Deep; FS2Shallow; Gas chromatography - Mass spectrometry (GC-MS); GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; International Polar Year (2007-2008); IPY; LATITUDE; LEG 2 GEOTRACES/ARCTICNET; LONGITUDE; Lophelia; Louis S. St-Laurent; LSL1509; LSL1509_AG5-1; LSL1509_BL2-1; LSL1509_BL4-1; LSL1509_BL6-1; LSL1509_CB1-1; LSL1509_CB23a-1; LSL1509_CB28aa-1; LSL1509_CB31b-1; LSL1509_CB4-1; LSL1509_MK1-1; LSL1509_MK2-1; LSL1509_MK3-1; LSL1509_MK4-1; LSL1609; LSL1609_AG5-1; LSL1609_BL1-1; LSL1609_BL2-1; LSL1609_BL3-1; LSL1609_BL4-1; LSL1609_BL6-1; LSL1609_BL8-1; LSL1609_CB28aa-1; LSL1609_MK1-1; LSL1609_MK2-1; LSL1609_MK3-1; LSL1609_MK4-1; LSL1709; LSL1709_AG5-1; LSL1709_BL1-1; LSL1709_BL2-1; LSL1709_BL3-1; LSL1709_BL4-1; LSL1709_BL6-1; LSL1709_BL8-1; LSL1709_CB28aa-1; LSL1709_CB28b-1; LSL1709_MK3-1; LSL1809; LSL1809_AG5-1; LSL1809_BL1-1; LSL1809_BL2-1; LSL1809_BL3-1; LSL1809_BL4-1; LSL1809_BL6-1; LSL1809_BL8-1; LSL1809_CB28aa-1; LSL1809_MK1-1; LSL1809_MK2-1; LSL1809_MK3-1; LSL1809_MK4-1; Marine Biogeochemistry and Surface Exchange of Climate Active Gases; Methane; Methane, dissolved; Methane, dissolved, equilibrium; Methane, standard deviation; Mixed layer depth; MK1; MK2; MK3; MK4; NearTrinity; nitrous oxide; Nitrous oxide, dissolved; Nitrous oxide, dissolved, equilibrium; Nitrous oxide, standard deviation; NLSE-07; ocean; Oxygen; Pressure, water; QMG1; QMG2; QMG3; QMG4; QMGM; rivers; Salinity; Sample ID; ScottInlet; ScottInlet0t2; SEC-1; SEC-3; SEC-5; SEC-7; SEC-8; SLIP-1; SLIP-3; SLIP-4; SLIP-5; Station label; SWGreenland3; SWL1507; SWL1507_BarC-10-1; SWL1507_BarC-2-1; SWL1507_BarC-4-1; SWL1507_BarC-6-1; SWL1507_BarC-8-1; SWL1507_BCL-6A-1; SWL1507_BRS-3-1; SWL1507_DBO4.1-1; SWL1507_DBO4.2-1; SWL1507_DBO4.3-1; SWL1507_DBO4.5-1; SWL1507_SEC-1-1; SWL1507_SEC-3-1; SWL1507_SEC-5-1; SWL1507_SEC-7-1; SWL1507_SLIP-1-1; SWL1507_SLIP-3-1; SWL1507_SLIP-4-1; SWL1507_SLIP-5-1; SWL1507_UTBS-2-1; SWL1507_UTBS-4-1; SWL1507_UTN-1-1; SWL1507_UTN-3-1; SWL1507_UTN-7-1; SWL1607; SWL1607_BCL-6A-1; SWL1607_BRS-3-1; SWL1607_DBO4.1-1; SWL1607_DBO4.3-1; SWL1607_SEC-1-1; SWL1607_SEC-3-1; SWL1607_SEC-5-1; SWL1607_SEC-7-1; SWL1607_SLIP-1-1; SWL1607_SLIP-3-1; SWL1607_SLIP-4-1; SWL1607_SLIP-5-1; SWL1607_UTBS-1-1; SWL1607_UTBS-5-1; SWL1607_UTN-2-1; SWL1607_UTN-4-1; SWL1607_UTN-6-1; SWL1707; SWL1707_BarC-10-1; SWL1707_BarC-1-1; SWL1707_BarC-5-1; SWL1707_BCL-6A-1; SWL1707_BRS-3-1; SWL1707_DBO4.1-1; SWL1707_DBO4.2-1; SWL1707_DBO4.3-1; SWL1707_DBO4.4-1; SWL1707_DBO4.5-1; SWL1707_DBO4.6-1; SWL1707_SEC-1-1; SWL1707_SEC-3-1; SWL1707_SEC-5-1; SWL1707_SEC-7-1; SWL1707_SEC-8-1; SWL1707_SLIP-1-1; SWL1707_SLIP-3-1; SWL1707_SLIP-4-1; SWL1707_SLIP-5-1; SWL1707_UTBS-1-1; SWL1707_UTBS-5-1; SWL1707_UTN-2-1; SWL1707_UTN-4-1; SWL1707_UTN-6-1; SWL1807; SWL1807_BCL-6A-1; SWL1807_BRS-3-1; SWL1807_DBO4.2n-1; SWL1807_DBO4.3n-1; SWL1807_DBO4.4n-1; SWL1807_DBO4.5n-1; SWL1807_DBO4.6n-1; SWL1807_SEC-1-1; SWL1807_SEC-3-1; SWL1807_SEC-5-1; SWL1807_SEC-7-1; SWL1807_SLIP-1-1; SWL1807_SLIP-3-1; SWL1807_SLIP-4-1; SWL1807_SLIP-5-1; SWL1807_UTBS-1-1; SWL1807_UTBS-5-1; SWL1807_UTN-2-1; SWL1807_UTN-4-1; Temperature, water; Thermo Trace GC coupled to ThermoFinnigan DELTAplus XP (GC-C-IRMS); TS233; UTBS-1; UTBS-2; UTBS-4; UTBS-5; UTN-1; UTN-2; UTN-3; UTN-4; UTN-6; UTN-7; VS; δ13C, methane, dissolved; δ13C, methane, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 37056 data points
    Location Call Number Expected Availability
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  • 52
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    Unknown
    Grain size analysis of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; Clay; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; Median, grain size; Mode, grain size; Sand; Silt
    Type: Dataset
    Format: text/tab-separated-values, 465 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 53
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    Unknown
    Magnetic susceptibility and density of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; Density; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; Magnetic susceptibility, volume; Multi-Sensor Core Logger
    Type: Dataset
    Format: text/tab-separated-values, 915 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Unknown
    Dinoflagellate cyst counting of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; Bitectatodinium tepikiense; Brigantedinium spp.; Counting, palynology; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; Impagidinium pallidum; Impagidinium paradoxum; Impagidinium sphaericum; Islandinium cezare; Islandinium minutum; Nematosphaeropsis labyrinthus; Operculodinium centrocarpum; Pentapharsodinium dalei cyst; Polykrikos quadratus; Selenopemphix quanta; Spiniferites elongatus; Spiniferites ramosus; Spiniferites spp.
    Type: Dataset
    Format: text/tab-separated-values, 1395 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 55
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    Unknown
    Bulk mineral assemblage of sediment core HH17-1094-GC (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Ankerite; Ankerite-Dolomite; Apatite; Aragonite; Barite; Biotite; Calcite; Calcite/Dolomite ratio; Carbonates; Chlorite; Chloritoid; Clay minerals, expandable; Clinopyroxene; Comment; Cristobalite; DEPTH, sediment/rock; Dolomite; Epidote; File name; Full Pattern Quantification with QUAX software; Garnet; GC; Glauconite; Gravity corer; Gypsum; Helmer Hanssen; HH17-1094-GC-MF; HH2017-666; Holocene Research; Illite; Illite+mica; Illite 5Å/10Å Esquevin-index; Iron oxides; Kalifeldspar; Kalifeldspar/Plagioclase ratio; Kaolinite; Kaolinite/Chlorite ratio; Korean Polar Institute; Magnetite; Mixed layer clay minerals; Montmorillonite; Muscovite; Orthopyroxene; Phyllosilicate; Plagioclase; Pyrite, FeS2; Quartz; Quartz/Feldspar ratio; Quartz/Phyllosillicates ratio; Rutile; Sample code/label; Serpentinite; Siderite + Magnesite; Silicon dioxide; Sillimanite; Smectite; Sodium chloride; Spinel; Svalbard fjords; Tridymite; Vivianite; Wijdefjorden; X-ray diffraction (Philips X'Pert Pro); XRD; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 4256 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 56
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    Unknown
    Environmental data from the (sub)Arctic (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Akademik Boris Petrov; AMD14; AMD14_101; AMD14_115; AMD14_200; ARA2B; ARA2B-11_BOX-01; ARA2B-15; ARA2B-16a_BOX-01; ARA2B-16B; ARA2B-18A; ARA2B-18B; ARA2B-1A; ARA2B-1B; ARA2B-2; ARA2B-3A; ARA2B-3B; ARA2B-8_BOX-01; ARA2B-9_BOX-01; ARA3B; ARA3B_01; ARA3B_08MUC-02; ARA3B_09MUC-02; ARA3B_10MUC-02; ARA3B_11MUC-02; ARA3B_12; ARA3B_13MUC-01; ARA3B_14MUC-01; ARA3B_15b; ARA3B_16MUC-01; ARA3B_18MUC-01; ARA3B_19MUC-02; ARA3B_26; ARA3B_27; ARA3B_28; ARA3B_29MUC-02; ARA3B_30MUC-01; ARA3B_38aMUC-01; ARA3B_41MUC-03; Araon; ARC/ASP13_Tyro-5; ARC/ASP13_YS163; ARC/ASP14_Tyro-8; ARC/ASP14_YS3.14; ARC/IGN15_SD60; ARC/IGN15_Tyro-100; ARC/IGN15_YS3.18; ARC/IGN15_YSD; ARC/IGN15_Z60; ARC-1; ARC-2; ARC-3; ARC-4; ARC-5; ARC-6; ARC-7; ARC-8; ArcticNet2005; ArcticNet2005_ARC-1; ArcticNet2005_ARC-2; ArcticNet2005_ARC-3; ArcticNet2005_ARC-4; ArcticNet2005_ARC-5; ArcticNet2005_ARC-6; ArcticNet2005_ARC-7; ArcticNet2005_ARC-8; Arctic Ocean; ARK-VIII/2; ARK-X/2; ARK-XI/1; ARK-XIV/1a; ARK-XIX/4a; ARK-XV/2; ARK-XVI/1; ARK-XVI/2; ARK-XVII/1; ARK-XVII/2; ARK-XVIII/1; ARK-XXIX/2.1; ARK-XXVI/3; ARK-XXVII/3; ARK-XXVIII/4 ALEX2014; ARK-XXXI/4; Baffin Bay; Barents_625; Barents_627; Barents_629; Barents_631; Barents_633; Barents_635; Barents_639; Barents_643; Barents_645; Barents_647; Barents_649; Barents_651; Barents_653; Barents_655; Barents_657; Barents_659; Barents_661; Barents_663; Barents_665; Barents_667; Barents_669; Barents_671; Barents_673; Barents_675; Barents_677; Barents_679; Barents_681; Barents_690; Barents_692; Barents_St02; Barents_St03; Barents_St04; Barents_St06; Barents_St07; Barents_St09; Barents_St11; Barents_St12; Barents_St13; Barents_St14; Barents_St15; Barents_St17; Barents_St18; Barents_St19; Barents_St20; Barents_St21; Barents_St22; Barents_St23; Barents_St24; Barents_St25; Barents_St26; Barents_St27; Barents_St29; Barents_St30; Barents_St31; Barents_St32; Barents_St34; Barents_St35; Barents_St36; Barents_St37; Barents_St38; Barents_St39; Barents_St40; Barents_St41; Barents_St43; Barents_St44; Barents_St45; Barents Sea; BC; Bering Sea; Box corer; BP00; BP00-02; BP00-04; BP00-05; BP00-07; BP00-08; BP00-09; BP00-13; BP00-14; BP00-15; BP00-16; BP00-17; BP00-22; BP00-23; BP00-26; BP00-27; BP00-28; BP00-29; BP00-30; BP00-31; BP00-35; BP00-36; BP00-38; BP01; BP01-38; BP01-43; BP01-64; BP01-67; BP01-73a; BP01-74; BP01-75; BP01-76; BP01-78; BP01-79; BP02; BP02-01B; BP02-02B; BP02-03/01; BP02-05/01; BUCKET; Bucket water sampling; CCGS Amundsen; Core; CORE; CORIBAR; CTD/Rosette; CTD-RO; Davis Strait; DB3.02; DB3.08; DB3.10; DB3.11; DB3.12; DB3.13; DB3.14; DB3.15; DB3.16; DB3.20; DB3.23; DB3.24; DB3.25; DB3.26; DB3.27; DB3.30; DB3.31; DB3.32; DB3.33; DB3.34; DB3.35; DB3.36; DB3.37; DB3.39; DB3.42; DB6.01; DB6.02; DB6.05; DB6.06; DB6.07; DB6.08; DB6.09; DEPTH, water; Dredge; DRG; East Greenland Sea; East Siberian Sea; EGS-1; Event label; FB1.02; FB1.04; FB1.05; FB1.07; FB1.12; FRAM-2014/15_ice_drift; FRAM2014/15-08-06; FRAM2014/15-11-09; FRAM2014/15-13-11; FRAM2014/15-15-13; FRAM2014/15-15-14; FRAM2014/15-15-15; FRAM2014/15-15-16; FRAM2014/15-15-17; FRAM2014/15-15-18; G. O. Sars (2003); GC; GeoB17601-2; GeoB17602-1; GeoB17603-1; GeoB17604-1; GeoB17605-1; GeoB17606-1; GeoB17607-1; GeoB17608-1; GeoB17609-1; GeoB17609-3; GeoB17610-1; GeoB17611-2; GeoB17612-1; GeoB17613-1; GeoB17614-1; GeoB17615-1; GeoB17616-1; GeoB17617-1; GeoB17618-1; GeoB17619-1; GeoB17620-1; GeoB17621-1; GeoB17622-1; GeoB17623-1; GeoB19904-1; GeoB19905-2; GeoB19916-5; GeoB19920-4; GeoB19927-2; GeoB19931-2; GeoB19933-2; GeoB19940-3; GeoB19946-3; GeoB19948-2; GeoB19953-5; GeoB19959-3; GeoB19961-2; GeoB19963-2; GeoB19969-2; GeoB19973-3; GeoB22304-4; GeoB22305-2; GeoB22306-2; GeoB22315-3; GeoB22316-1; GeoB22317-1; GeoB22318-1; GeoB22319-1; GeoB22320-1; GeoB22321-1; GeoB22329-3; GeoB22331-2; GeoB22333-3; GeoB22334-1; GeoB22336-2; GeoB22344-2; GeoB22346-2; GeoB22348-2; GeoB22350-2; GeoB22351-2; GeoB22353-2; GeoB22356-2; GeoB22357-2; GeoB22358-2; GeoB22359-2; Giant box corer; GKG; Gravity corer; Gravity corer (Kiel type); Greenland Sea; GS15-198-36; GS15-198-37; GS15-198-38; GS15-198-39; GS15-198-40; GS15-198-41; GS15-198-42; GS15-198-43; GS15-198-44; GS15-198-45; GS15-198-46; GS15-198-47; GS15-198-48; GS15-198-49; GS15-198-50; GS15-198-51; GS15-198-52; GS15-198-53; GS15-198-54; GS15-198-55; GS15-198-56; GS15-198-58; GS15-198-59; GS15-198-60; GS15-198-61; GS15-198-62; GS15-198-63; GS16-204-19; GS16-204-21; GS16-204-22; GS16-204-23; GS16-204-24; GS2015-198; GS2016-204; HB2.01; HB2.02; HB2.03; HB2.04; HB2.06; HE153; HE153/1239-2; HE153/1241-1; HE153/1251-2; HE153/1254-2; HE153/1255-2; HE153/1261-2; HE153/1262-2; HE153/1263-2; HE153/1265-2; HE153/1269-2; HE153/1270-2; HE153/1273-2; HE153/1286-2; HE153/1287-2; HE153/1288-2; HE153/1289-2; HE153/1290-2; Heincke; Helmer Hanssen; HG_I; HG_II; HG_IV; HG_IX; HH11; HH11-133GC; HH11-134BC; HH11-135GC; HH11-136BC; HH11-137BC; HH11-138GC; HH11-140BC; HH13-19; HH13-21; HH13-23E; HH13-25F; HH2011; HH2013; HUD2008/29; HUD2008/29_14; HUD2008/29_47; HUD2008/29_55; HUD2008/29_66; HUD2013/29; HUD2013/29_51; HUD2013/29_52; HUD2013/29_54; HUD2013/29_68; HUD2013/29_78; HUD2013/29_79; Hudson; Hudson Bay; Hurry Inlet, East Greenland; Iceland Sea; INOPEX; Investigator; James Clark Ross; JR142; JR142-GC10; JR142-GC11; JR142-GC12; JR142-GC13; JR142-GC14; JR142-GC15; JR142-GC17; JR142-GC19; JR142-GC20; JR142-GC21; JR142-GC22; JR142-GC23; JR142-GC4; JR142-GC5; JR142-GC6; JR142-GC7; JR142-GC8; JR142-GC9; JR20060728; JR20080823; JR211; JR211-04GC; JR211-10BC; JR211-12GC; JR211-13GC; JR211-15GC; JR211-26GC; JR211-28GC; JR211-33GC; KAL; Kapitan Dranitsyn; Kara Sea; Kasten corer; KD9523-8; KD9529-12; KD9533-11; KD9541-13; KD9548-13; KD9565-12; KD9568-8; KD9572-1; Kempe Fjord, East Greenland; Labrador Sea; Laptev Sea; LATITUDE; LONGITUDE; Maria S. Merian; MOOR; Mooring; MSM12/2; MSM12/2_642-2; MSM12/2_643-2; MSM12/2_645-3; MSM12/2_646-2; MSM12/2_647-1; MSM12/2_649-4; MSM12/2_650-2; MSM12/2_651-2; MSM12/2_653-3; MSM12/2_654-1; MSM12/2_656-2; MSM12/2-01-02; MSM12/2-02-02; MSM12/2-03-02; MSM12/2-04-02; MSM12/2-05-01; MSM12/2-06-03; MSM12/2-07-01; MSM12/2-08-02; MSM12/2-09-02; MSM12/2-10-01; MSM12/2-12-02; MSM30; MSM30_463-2; MSM30_466-1; MSM30_467-1; MSM30_469-1; MSM30_471-1; MSM30_472-1; MSM30_474-1; MSM30_476-1; MSM30_477-1; MSM30_477-3; MSM30_479-1; MSM30_480-2; MSM30_482-1; MSM30_483-1; MSM30_485-1; MSM30_486-1; MSM30_488-1; MSM30_490-2; MSM30_493-1; MSM30_499-1; MSM30_500-1; MSM30_501-1; MSM30_502-1; MSM30_503-1; MSM31; MSM31_550-5; MSM31_557-2; MSM31_561-2; MSM31_575-3; MSM31_585-4; MSM44; MSM44_330-1; MSM44_331-2; MSM44_342-5; MSM44_346-4; MSM44_353-2; MSM44_357-2; MSM44_359-2; MSM44_366-3; MSM44_372-3; MSM44_374-2; MSM44_379-5; MSM44_385-3; MSM44_387-2; MSM44_389-2; MSM44_395-2; MSM44_399-3; MSM46; MSM46_10-8; MSM46_12-5; MSM46_14-2; MSM46_16-6; MSM46_19-3; MSM46_20-3; MSM46_22-2; MSM46_25-1; MSM46_28-3; MSM46_3-5; MSM46_4-5; MSM46_5-8; MSM46_6-4; MSM46_7-10; MSM66; MSM66/05-2; MSM66/15-3; MSM66/16-1; MSM66/17-1; MSM66/18-1; MSM66/19-1; MSM66/20-1; MSM66/21-1; MSM66/29-3; MSM66/31-2; MSM66/33-3; MSM66/34-1; MSM66/36-2; MSM66/4-4; MSM66/44-2; MSM66/46-2; MSM66/48-2; MSM66/50-2; MSM66/51-2; MSM66/53-2; MSM66/56-2; MSM66/57-2; MSM66/58-2; MSM66/59-2; MSM66/6-2; MSN; MUC; MULT; MultiCorer; Multicorer with television; Multiple investigations; Multiple opening/closing net; Nitrate; North Greenland Sea; North Pacific Ocean; Northwestern Passages; Norwegian Sea; NOW-1; NOW-2; NOW-3; NOW-4; NOW-5; Number; OBS; OBS314; Ocean bottom seismometer; Paamiut; Paamiut2014; Phosphate; Polarstern; Primary production of carbon; PS109; PS109_105-1; PS109_115-2; PS109_125-1; PS109_129-1; PS109_139-1; PS109_19-2; PS109_36-2; PS109_46-2; PS109_76-1; PS109_85-1; PS109_93-2; PS19/040; PS19/045; PS19/078; PS19/080; PS19/082; PS19/102; PS19/116; PS19/119; PS19/126; PS19/132; PS19/134; PS19/136; PS19/143; PS19 EPOS II; PS2111-2; PS2113-1; PS2117-1; PS2119-2; PS2121-1; PS2131-1; PS2142-3; PS2144-3; PS2148-1; PS2149-1; PS2150-
    Type: Dataset
    Format: text/tab-separated-values, 15755 data points
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  • 57
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    Response of the microbial food web to gradients of organic matter and grazing pressure effect in incubation experiments in the Arctic: Mesocosm (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 19-Hexanoyloxyfucoxanthin; Abundance; Abundance per volume; Alloxanthin; Ammonium; Arctic; Arctic: Ny-Alesund - (west coast of Spitsbergen); Bacterial production; beta-Carotene; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, total; Chlorophyll a; Chlorophyll b; Chlorophyll c2; Chlorophyll c3; Chlorophyllide a; Climate change; climatic; Copepoda, biomass as carbon; DATE/TIME; Day of experiment; Diadinoxanthin; Diatoxanthin; fjords; Fucoxanthin; Gross primary production of oxygen; Iron; Iron, dissolved; Iron, particulate; Lutein; Marine ecosystems; Mediterranean; MESO; Mesocosm experiment; Microbial Food Web; Monovinyl chlorophyll a; multi-stressors; Net community production of oxygen; Nitrate; Nitrogen, organic, particulate; Nitrogen, total; Nitrogen/Carbon ratio; non-climatic; Number; OC_Arctic_Mesocosm; OCEAN-CERTAIN; Ocean Food-web Patrol – Climate Effects: Reducing Targeted Uncertainties with an Interactive Network; Peridinin; pH; Pheophorbide b; Pheophytin a; Phosphate; Phosphorus, particulate; Primary production of carbon; Ratio; Respiration rate, oxygen; Silicate; Time in hours; Treatment; Violaxanthin; Viral abundance; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 5638 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 58
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    Unknown
    Branched and isoprenoid tetraether index of sediment core ARA04C/37, Beaufort Sea, Arctic Ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 37GVC1; Accumulation rate, branched glycerol dialkyl glycerol tetraethers; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; DEPTH, sediment/rock; GC; GDGT; Gravity corer; IP25; Sea ice; Sea surface temperature; SST, from Ri OH-GDGTs, Lü et al. (2015); sterols
    Type: Dataset
    Format: text/tab-separated-values, 99 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 59
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    Unknown
    Chemical and isotopic compositions of pore and botom waters at Sites ARA06C-JPC01, ARA06C-JPC02, ARA06C-JPC03, and ARA06C-JPC04 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Cl- and alkalinity were determined by visual titration with 0.1 M AgNO~3~ and 0.02 M HCl, respectively. NH~4~+ and PO~4~3 were measured spectrophotometrically (UV-2450, Shimazu) at 640 and 885 nm, respectively. Sulfate (SO~4~2-) was analyzed by an ion chromatography (ICS-1500, Dionex) in the Korea Institute of Geoscience and Mineral Resources (KIGAM). Major and minor cations (Na^, K, Mg^2+, Ca^2+, Ba^2+, B, Sr^2+^, and H~4~SiO~4~) were analyzed by an inductively coupled plasma-optical emission spectrometer (Optima 8300 ICP-OES, Perkin Elmer) in the Korea Basic Sciences Institute (KBSI). δ^18^O~H2O~ and δD~H2O~ were determined with a wavelength-scanned cavity ring-down spectroscopy (L2120-i, Picarro Inc.) in the KIGAM. δ^13^C~DIC~ was analyzed with a Finnigan DELTA-Plus mass spectrometer using a Gas-Bench II automated sampler at Oregon State University. 87^Sr/^86^Sr ratio was measured using a Neptune multi-collector inductively coupled plasma mass spectrometer (MC-ICP-MS, Thermo Scientific) in the KBSI. The δ^11^B signatures were analyzed with a Neptune MC-ICP-MS in the St. Andrews Isotope Geochemistry Laboratory.
    Keywords: Alkalinity, total; Ammonium; ARA06C; ARA06C Expedtion; ARA06C-JPC01; ARA06C-JPC02; ARA06C-JPC03; ARA06C-JPC04; Araon; Barium; Boron; Calcium; Chloride; Chukchi Basin; Chukchi Sea; Chukchi shelf; Cruise/expedition; DATE/TIME; DEPTH, sediment/rock; East Siberia continental slope; Event label; Finnigan GasBench II, Delta Plus V IRMS; Headspace Gas; ICP-OES, Perkin-Elmer, Optima 8300; Ion chromatograph, Dionex Corporation, ICS-1500; JPC; Jumbo Piston Core; LATITUDE; LONGITUDE; Magnesium; MC-ICP-MS (Thermo Scientific, Neptune); Phosphate; pore water; Potassium; Sample comment; Sample ID; Silicic acid; Sodium; Strontium; Strontium-87/Strontium-86 ratio; Sulfate; Titration; TOC; δ11B; δ13C, dissolved inorganic carbon; δ18O; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 1112 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 60
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    Unknown
    A data compilation for soil conditions from the Tibetan Plateau (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Biomass, aboveground; Biomass, belowground; carbon loss; Chindu_County_01; Chindu_County_02; Chindu_County_03; Chindu_County_04; Clay; Damxung_County_01; Damxung_County_02; Dari_County_01; degradation; Density, dry bulk; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; ELEVATION; enzyme activity; erosion; Event label; Fenghuoshan_district_01; From literature; Gande_County_01; Guoluo_Prefecture_01; Guoluo_Prefecture_02; Guoluo_Prefecture_03; Guoluo_Prefecture_04; Haibei_Guoluo_Yushu_01; Haibei_Guoluo_Yushu_02; Haibei_Guoluo_Yushu_03; Haibei_Guoluo_Yushu_04; Haibei_Guoluo_Yushu_05; Haibei_National_Field_Research_Station_01; Haibei_National_Field_Research_Station_02; Haibei_National_Field_Research_Station_03; Haibei_National_Field_Research_Station_04; Haibei_National_Field_Research_Station_05; Haibei_National_Field_Research_Station_06; Haibei_National_Field_Research_Station_07; Haibei_National_Field_Research_Station_08; Haibei_National_Field_Research_Station_09; Kaixinlin_Basin_01; LATITUDE; Location; LONGITUDE; Maqin_County_01; Maqin_County_02; Maqin_County_03; Maqin_County_04; Maqin_County_05; Maqin_County_06; Maqin_County_07; Maqin_County_08; Maqin_County_09; Maqin_County_10; Maqin_County_11; Maqu_County_01; Maqu_County_02; Maqu_County_03; microbial community strcuture; Naqu_City_01; Nitrogen, total; nitrogen leaching; Organic carbon, soil; pH; Phosphorus, total; Potassium, total; Qumarleb_County_01; Qumarleb_County_02; Reference/source; Reference/source, language; SOC; Soil corer; Soil degradation stage; Tianzhu_County_01; Tianzhu_County_02; Tibet; Tibetan Plateau; Valley_Jinqiang_River_01; Valley_Jinqiang_River_02; Valley_Jinqiang_River_03; Valley_Jinqiang_River_04; Valley_Jinqiang_River_05; Yushu_Prefecture_01; Yushu_Prefecture_02; Yushu_Prefecture_03; Yushu_Prefecture_04; Yushu_Prefecture_05; Yushu_Prefecture_06; Yushu_Prefecture_07; Yushu_Prefecture_08; Zhiduo_County_01
    Type: Dataset
    Format: text/tab-separated-values, 5003 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 61
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    Unknown
    Chemical and isotopic compositions of headspace gases at Sites ARA06C-JPC01, ARA06C-JPC02, ARA06C-JPC03, and ARA06C -JPC04 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Gas composition in the headspace gas was measured by an Agilent 7890A gas chromatograph with flame ionization detector in the KIGAM. The carbon isotopic ratios of CH~4~ and carbon dioxide (CO~2~) in eadspace gases were analyzed using a compound-specific isotope ratio-monitoring gas chromatograph/mass spectrometer at Isotech Laboratories Inc., USA.
    Keywords: ARA06C; ARA06C Expedtion; ARA06C-JPC01; ARA06C-JPC02; ARA06C-JPC03; ARA06C-JPC04; Araon; Chukchi Basin; Chukchi Sea; Chukchi shelf; Cruise/expedition; DATE/TIME; DEPTH, sediment/rock; East Siberia continental slope; Event label; Gas chromatograph, Agilent 7890, coupled with a flame ionization detector; Headspace Gas; Isotope ratio-monitoring gas chromatograph/mass spectrometer; JPC; Jumbo Piston Core; LATITUDE; LONGITUDE; Methane; pore water; Ratio; Sample ID; TOC; δ13C, carbon dioxide; δ13C, methane
    Type: Dataset
    Format: text/tab-separated-values, 100 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 62
    facet.materialart.
    Unknown
    Hydrographic (CTD) profiles in the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: During Leg 1, the CTD (CTD RBR Maestro) was manually lowered in the water through an ice hole with a velocity of less than 0.3 ms-1 and an acquisition frequency of 6 Hz, yielding a vertical resolution of a few centimetres. During legs 2 to 4, the CTD (CTD RBR Concerto) was installed on a Seabird Scientific optical package frame, which was deployed with a velocity of 0.3 m s-1 and an acquisition frequency of 8 Hz. Only data from downcasts were used and poor quality profiles, that had been affected by ice-covered sensors, were removed. Atmospheric pressure observed at weather stations near the sampling locations (Aklavik, Inuvik, Shingle Point and Tuktoyaktuk) was used to tare the CTD pressure sensors. CTD profiles were smoothed and binned to a regular 0.01 m depth grid.
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNXX2; 2_STNXX3; 2_STNxxx; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNShingleTest; 4_STNXX4; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; CTD; DATE/TIME; DEPTH, water; Event label; Handheldmeter; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNXX2; NunaWP4Mackenzie19_2_STNXX3; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNShingleTest; NunaWP4Mackenzie19_4_STNXX4; Salinity; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 199672 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 63
    facet.materialart.
    Unknown
    Suspended particulate matter (SPM), Total particulate carbon (TPC) and Total particulate nitrogen (TPN) concentrations in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Material for the determination of suspended particulate matter (SPM), total particulate carbon (TPC) and total particulate nitrogen (TPN) was obtained by filtering 300-700 mL water samples on pre-weighed, precombusted (450°C for 〉5 hours) 47mm Whatmann GF/F (0.7 µm) filters. The filters were dried overnight at 60°C and vacuum-sealed for storage in petri dishes kept at room temperature until analysis. SPM was calculated as the difference in dry weight between individually-marked filters before and after filtration (Doxaran et al., 2012; doi:10.5194/bg-9-3213-2012). Concentrations of TPC and TPN were determined using a Carbon Hydrogen Nitrogen (CHN) analyzer (Perkin Elmer) following methods described in Doxaran et al. (2012; doi:10.5194/bg-9-3213-2012).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Carbon, total, particulate; Carbon Hydrogen Nitrogen (CHN) analyzer (Perkin Elmer); Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Derived from dry filter weights per volume; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; Nitrogen, total, particulate; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Station label; Suspended particulate matter
    Type: Dataset
    Format: text/tab-separated-values, 715 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 64
    facet.materialart.
    Unknown
    Bacteria cells in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Samples for bacterial abundance (1.5 mL) were preserved with glutaraldehyde (1% final concentration) and stored at -80°C. Samples were stained with SYBRTM Green I (Thermofisher Scientific) and analyzed on a flow cytometer (FACSCanto, BD Biosciences) as previously described (Gasol & Del Giorgio, 2000; doi:10.3989/scimar.2000.64n2197).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; Bacteria; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; Flow cytometry; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Station label
    Type: Dataset
    Format: text/tab-separated-values, 432 data points
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  • 65
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    Lithological information, strontium, rubidium and carbon concentrations and Sr and C isotope data of samples from OmanDP Hole BT1B (Table 1) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 87Sr/86Sr; Carbon, organic; Carbon, total; carbonated peridotite; CDRILL; Core drilling; d13C; DEPTH, sediment/rock; Geochemistry; Lithology/composition/facies; OmanDP; OmanDP_BT1B; Oman Drilling Project; Rubidium; Samail Ophiolite; Sample code/label; Strontium; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard error; Wadi Mansah, Samail, Oman; δ13C, total carbon; δ13C, total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 738 data points
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  • 66
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    Methane and nitrous oxide dissolved gas concentrations from rivers in the North American Arctic (2017–2019) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset contains methane and nitrous oxide dissolved gas concentration and dissolved methane carbon isotope data from rivers in the Canadian Arctic Archipelago region collected between 2017-2019. River samples were collected during CCGS Amundsen cruises using a helicopter to travel to the rivers. At each river site, river water was pumped through tubing using a peristaltic pump. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). For methane 𝛿13C, samples (one sample per event) were pre-concentrated through a purge and trap system (Finnigan PreCon Trace Gas Pre-Concentrator) and measured with a Finnigan Delta XP Plus mass spectrometer following the method of Damm et al. (2015).
    Keywords: AMD17_2; AMD17_2_CMBB-1; AMD17_2_CMCMG-1; AMD17_2_CMCR-1; AMD17_2_CMCR2-1; AMD17_2_CMGR-1; AMD17_2_CMLFI-1; AMD17_2_CMMB-1; AMD17_2_CMMR-1; AMD18_3; AMD18_3_CMCR-1; AMD18_3_CMER-1; AMD18_3_CMGR-1; AMD18_3_CMLFI-1; AMD18_3_CMSR-1; AMD18_3_CMSR2-1; AMD18_3_CMTR-1; AMD19_2; AMD19_2_RI135-1; AMD19_2_RI6.1-1; AMD19_2_RICP-1; AMD19_2_RIDIE-1; AMD19_2_RIDIW-1; AMD19_2_RIDIW-N-1; AMD19_2_RIEE-1; AMD19_2_RIESC-1; AMD19_2_RIHI-1; AMD19_2_RISG-1; AN1702; AN1902; Arctic; ArcticNet; CAA; Calculated; Canadian Arctic Archipelago; CCGS Amundsen; CMBB; CMCMG; CMCR; CMCR2; CMER; CMGR; CMLFI; CMMB; CMMR; CMSR; CMSR2; CMTR; Conductivity, electrical; DATE/TIME; Event label; Gas chromatography - Mass spectrometry (GC-MS); GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; International Polar Year (2007-2008); IPY; LATITUDE; Location; LONGITUDE; Marine Biogeochemistry and Surface Exchange of Climate Active Gases; Methane; Methane, dissolved; Methane, standard deviation; nitrous oxide; Nitrous oxide, dissolved; Nitrous oxide, standard deviation; Oakton Con5; ocean; PUMP; RI135; RI6.1; RICP; RIDIE; RIDIW; RIDIW-N; RIEE; RIESC; RIHI; RISG; River; rivers; Station label; Temperature, water; Thermo Trace GC coupled to ThermoFinnigan DELTAplus XP (GC-C-IRMS); Water pump; δ13C, methane, dissolved
    Type: Dataset
    Format: text/tab-separated-values, 230 data points
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  • 67
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    Carbon contents of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; Calcium carbonate; Carbon, organic, total; Carbon/Nitrogen ratio; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; δ13C, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 68
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    Whole rock trace element compositions of samples recovered at Hole CM1A (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Barium; Caesium; CDRILL; Cerium; Core drilling; Depth, bottom/max; Depth, top/min; Dunites; Dysprosium; Erbium; Europium; Gadolinium; Geochemistry; Hafnium; Harzburgites; Holes CM1A and CM2B; Holmium; ICDP Oman Drilling Project; ICP-MS using acid digestion of powder samples; Laboratory; Lanthanum; Lead; Lithium; Lithology/composition/facies; Lutetium; Name; Neodymium; Niobium; Oman; OmanDP; OmanDP_CM1A; Oman Drilling Project; Oman ophiolite Crust-Mantle transition; Peridotite Carbonation; Praseodymium; Rubidium; Samarium; Sample code/label; serpentinite; Strontium; Tantalum; Terbium; Thorium; Thulium; Titanium; trace element; Uranium; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1390 data points
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  • 69
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    XRF core scanning and ratios of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; Aluminium; Calcium; Calcium/Titanium ratio; Calculated; Chlorine; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; Iron; Iron/Calcium ratio; Iron/Titanium ratio; Manganese; Manganese/Iron ratio; Potassium; Potassium/Aluminium ratio; Potassium/Titanium ratio; Quotient; Rubidium; Silicon; Strontium; Strontium/Calcium ratio; Sum; Titanium; X-ray fluorescence core scanner (XRF); Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 12474 data points
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  • 70
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    Dinoflagellate cyst percentage of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; Bitectatodinium tepikiense; Brigantedinium spp.; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; Impagidinium pallidum; Impagidinium paradoxum; Impagidinium sphaericum; Islandinium cezare; Islandinium minutum; Nematosphaeropsis labyrinthus; Operculodinium centrocarpum; Pentapharsodinium dalei cyst; Polykrikos quadratus; Selenopemphix quanta; Spiniferites elongatus; Spiniferites ramosus; Spiniferites spp.
    Type: Dataset
    Format: text/tab-separated-values, 1395 data points
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  • 71
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    Bulk mineral assemblage of sediment core HH17-1085-GC (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Ankerite; Ankerite-Dolomite; Apatite; Aragonite; Barite; Biotite; Calcite; Calcite/Dolomite ratio; Carbonates; Chlorite; Chloritoid; Clay minerals, expandable; Clinopyroxene; Comment; Cristobalite; DEPTH, sediment/rock; Dolomite; Epidote; File name; Full Pattern Quantification with QUAX software; Garnet; GC; Glauconite; Gravity corer; Gypsum; Helmer Hanssen; HH17-1085-GC-MF; HH2017-666; Holocene Research; Illite; Illite+mica; Illite 5Å/10Å Esquevin-index; Iron oxides; Kalifeldspar; Kalifeldspar/Plagioclase ratio; Kaolinite; Kaolinite/Chlorite ratio; Korean Polar Institute; Magnetite; Mixed layer clay minerals; Montmorillonite; Muscovite; Orthopyroxene; Phyllosilicate; Plagioclase; Pyrite, FeS2; Quartz; Quartz/Feldspar ratio; Quartz/Phyllosillicates ratio; Rutile; Sample code/label; Serpentinite; Siderite + Magnesite; Silicon dioxide; Sillimanite; Smectite; Sodium chloride; Spinel; Svalbard fjords; Tridymite; Vivianite; Wijdefjorden; X-ray diffraction (Philips X'Pert Pro); XRD; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 5544 data points
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  • 72
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    N water chemistry from small Arctic streams in relation to vegetation cover (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: In the Arctic, little information is available, especially in terms of N availability and composition (i.e., nitrate, ammonium, and dissolved organic nitrogen) from small, flowing waters. This data set aims to quantify N concentrations across small Arctic streams and explore the link between terrestrial vegetation and stream water N concentration. The data set is the result of a literature study where data on N water chemistry was collected and combined from peer-reviewed, published articles and data sets selected by specific criteria. 20 articles met the selected criteria along with four datasets from databases resulting in a total of 2381 observations on N water chemistry from Arctic flowing waters from 1996 to 2021. Bioclimate subzones, NDVI and phytomass describe vegetation. Data on dissolved organic nitrogen (DON) was scarce: only 161 of the 2381 observations contained DON data. We found that nitrate (NO3-), ammonium (NH4+) and DON ranged undetectable to 1155, 547 and 1587 µg N/l, respectively. We found that sparsely vegetated areas had higher stream water N-concentrations, while barren areas and higher vegetated areas had lower stream water N-concentrations.
    Keywords: Ammonium; Ammonium/Nitrate ratio; Arctic; Arctic_streams; Area/locality; Biomass, aboveground; Category; Country; Date; Description; Identification; LATITUDE; Literature based; LONGITUDE; Month; Name; Nitrate; Nitrogen; Nitrogen, inorganic, dissolved; Nitrogen, inorganic, dissolved/Nitrogen, organic, dissolved ratio; Nitrogen, organic, dissolved; Nitrogen, total dissolved; Normalized Difference Vegetation Index; Organic carbon, soil; Precipitation, annual mean; Reference/source; streams; Subzone; Temperature, air, annual mean; Temperature, air, maximum; Temperature, air, minimum; Temperature, annual mean; Uniform resource locator/link to reference; Water sample; WS; Year of publication; Year of sampling
    Type: Dataset
    Format: text/tab-separated-values, 65302 data points
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  • 73
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    Benthic foraminiferal abundances from eastern Baffin Bay, sediment core AMD14-204C (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Baffin Bay is a semi-enclosed basin connecting the Arctic Ocean and the western North Atlantic, thus making out a significant pathway for heat exchange. Here we reconstruct the alternating advection of relatively warmer and saline Atlantic waters versus the incursion of colder Arctic water masses entering Baffin Bay through the multiple gateways in the Canadian Arctic Archipelago and the Nares Strait during the Holocene. We carried out benthic foraminiferal assemblage analyses, X-ray fluorescence scanning, and radiocarbon dating of a 738 cm long marine sediment core retrieved from eastern Baffin Bay near Upernavik, Greenland (Core AMD14-204C; 987m water depth). Results reveal that eastern Baffin Bay was subjected to several oceanographic changes during the last 9.2 kyrCE1. Waning deglacial conditions with enhanced meltwater influxes and an extensive sea-ice cover prevailed in eastern Baffin Bay from 9.2 to 7.9 ka. A transition towards bottom water amelioration is recorded at 7.9 ka by increased advection of Atlantic water masses, encompassing the Holocene Thermal Maximum. A cold period with growing sea-ice cover at 6.7 ka interrupts the overall warm subsurface water conditions, promoted by a weaker northward flow of Atlantic waters. The onset of the neoglaciation at ca. 2.9 ka is marked by an abrupt transition towards a benthic fauna dominated by agglutinated species, likely in part explained by a reduction of the influx of Atlantic Water, allowing an increased influx of the cold, corrosive Baffin Bay Deep Water originating from the Arctic Ocean to enter Baffin Bay through the Nares Strait. These cold subsurface water conditions persisted throughout the Late Holocene, only interrupted by short-lived warmings superimposed on this cooling trend.
    Keywords: AGE; AMD14_1b; AMD14-204_CASQ; AMD14-204C; ArcticNet; Astrononion gallowayi; Baffin Bay; Benthic foraminifera; Bolivina pseudopunctata; Buliminella elegantissima; Calypso square corer; CASQ; Cassidulina neoteretis; Cassidulina reniforme; CCGS Amundsen; DEPTH, sediment/rock; Elphidium clavatum; Epistominella arctica; Epistominella vitrea; Foraminifera, benthic; Foraminifera, benthic agglutinated; Foraminifera, benthic atlantic species; Foraminifera, benthic calcareous; Foraminifera, planktic; Foraminifera, sea-ice species; Holocene; Islandiella norcrossi; Nonionellina labradorica; Portatrochammina bipolaris; Psammosphaera fusca; Ratio; Recurvoides trochamminiformis; Reophax subfusiformis; Stainforthia feylingi; Textularia earlandi; Textularia kattegatensis; Textularia torquata
    Type: Dataset
    Format: text/tab-separated-values, 2106 data points
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  • 74
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    Fossil diatom record from marine sediment core AMD14-204_CASQ (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Raw counts of fossil diatom taxa from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years. Quantification was done using a light microscope (Olympus BX53, University of New Brunswick) with phase contrast optics, at 1000x magnification.
    Keywords: Achnanthes groenlandica; Actinocyclus curvatulus; AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Asteromphalus spp.; Bacterosira bathyomphala; Bacterosira bathyomphala, resting spores; Baffin Bay; Calypso square corer; CASQ; CCGS Amundsen; Chaetoceros affinis, resting spores; Chaetoceros debilis, resting spores; Chaetoceros diadema, resting spores; Chaetoceros radicans, resting spores; Chaetoceros spp. resting spores; Cocconeis californica; Cocconeis costata; Cocconeis scutellum; Cocconeis spp.; Coscinodiscus spp.; Counting, diatoms; Cymatotheca spp.; DEPTH, sediment/rock; diatoms; Diatoms, centrales; Diatoms, pennales; Diatoms, pennales indeterminata; Diploneis spp.; Fields; Fossula arctica; Fragilariopsis atlantica; Fragilariopsis cylindrus; Fragilariopsis nana; Fragilariopsis oceanica; Fragilariopsis reginae-jahniae; Fragilariopsis spp.; Geochemistry; Gomphonemopsis littoralis; Grammatophora angulosa var. islandica; Highly branched isoprenoid (HBI) biomarkers; Mass; Melosira arctica; Melosira setosa; Navicula spp.; Nitzschia spp.; Odontella aurita; Paralia sulcata; Pauliella taeniata; Podosira cf. stelligera; Porosira glacialis; Pseudogomphonema cf. kamtschaticum; Rhizosolenia hebetata forma hebetata; Rhizosolenia hebetata forma semispina; Rhizosolenia spp.; Shionodiscus oestrupii; Shionodiscus trifultus; Synedropsis recta; Tabularia tabulata; Thalassiosira anguste-lineata; Thalassiosira antarctica var. borealis; Thalassiosira antarctica var. borealis, resting spores; Thalassiosira bulbosa; Thalassiosira constricta; Thalassiosira eccentrica; Thalassiosira gravida; Thalassiosira hyalina; Thalassiosira hyperborea; Thalassiosira nordenskioldii; Thalassiosira spp.; Thalassiothrix longissima
    Type: Dataset
    Format: text/tab-separated-values, 4799 data points
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    DATA PANGAEA
  • 75
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    More than 50 years of Th-234 data: a comprehensive global oceanic compilation (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The ²³⁴Th-²³⁸U radioactive pair has been extensively used to evaluate the efficiency with which photosyntetically fixed carbon is exported from the surface ocean by means of the biological pump since the 90's. The seminal work of Buesseler et al. (1992) proposed that particulate organic carbon (POC) flux can be indirectly calculated from ²³⁴Th distributions if the ratio of POC to ²³⁴Th measured on sinking particles (POC:²³⁴Th) at the desired export depth is known. Since then, a huge amount of ²³⁴Th depth profiles have been collected using a variety of sampling instruments and strategies that have changed along years. This is a global oceanic compilation of ²³⁴Th measurements, that collects results from innumerable researchers and laboratories over a period exceeding 50 years. The present compilation is made of a total 223 datasets: 214 from studies published either in articles in referred journals, PhD thesis or repositories, and 9 unpublished datasets. Including measurements from JGOFS, VERTIGO and GEOTRACES programs, with sampling from approximately 5000 locations spanning all the oceans. The compilation includes total ²³⁴Th profiles, dissolved and particulate ²³⁴Th concentrations, and POC:²³⁴Th ratios (both from pumps and sediment traps) for two sizes classes (1-53 μm and 〈 53 μm) when available. Appropriate metadata have been included, including geographic location, date, and sample depth, among others. When available, we also include water temperature, salinity, ²³⁸U data and particulate organic nitrogen data. Data sources and methods information (including ²³⁸U and ²³⁴Th) are also detailed along with valuable information for future data analysis such as bloom stage and steady/non-steady state conditions at the sampling moment. This undertaking is a treasure of data to understand and quantify how oceanic carbon cycle functions and how it will change in future. The compilation can be downloaded in three different ways: 1) A single merged file including all the individual excel files. This option can be accessed under "Other version: More than 50 years of Th-234 data: a comprehensive global oceanic compilation (single xlsx file)". 2) A summary table that includes details from cruise, sampling dates, techniques applied, authors and DOI of the compiled ²³⁴Th data, among others, each line corresponds to a specific dataset. The table can be accessed by clicking ""View dataset as HTML" and downloaded in "Download dataset as tab-delimited text". 3) Individual Excel files for each dataset can be manually chosen from the summary table, corresponding to the complete ²³⁴Th dataset and metadata from a specific publication or program. This option is available by clicking "View dataset as HTML". Furthermore, all files referred to can be downloaded in one go as ZIP or TAR.
    Keywords: 234Th; Author(s); Binary Object; biological carbon pump; Carbon, organic, particulate/Thorium-234 ratio; carbon export; Chief scientist(s); Cruise/expedition; DATE/TIME; ELEVATION; Gear; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; JGOFS; Joint Global Ocean Flux Study; Journal/report title; LATITUDE; LONGITUDE; Multiple cruises/expeditions; Ocean; Ocean and sea region; Period; POC flux; Project; Reference of data; Thorium-234, dissolved; Thorium-234, particulate; Thorium-234, total; Uniform resource locator/link to reference; Uranium-238; Vessel; Year of publication
    Type: Dataset
    Format: text/tab-separated-values, 4056 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 76
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    NetCDF median glider data collected in the Northern Benguela during February - June 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Binned median of Slocum G2 glider data from 0 to 1000 m depth. The data were collected in the northern Benguela region between 14 February 2018 and 19 June 2018 at a site approximately 100 km from the coast. The glider sampled continuously following a triangular path of ~12 km per side roughly centred on 10.8°E, 18.1°S. The glider sampled only on the upward dive with a vertical resolution of ~20 cm, emerging 5 to 6 times per day. Temperature, Conductivity and Depth were measured with a standard Slocum Glider Payload CTD (pumped) from Seabird (SN 9109). Dissolved oxygen was measured with an Aanderaa optode, model 4831 (SN286). Depth-averaged currents (DAC) for each 1000 m downward and upward dive were estimated from the difference between the glider's actual and predicted surfacing locations. Glider surface currents were also estimated at each surfacing via linear regression of GPS location with respect to time. Salinity and oxygen data were calibrated against shipboard CTD bottle samples. The data have been binned (median) into 6 hourly, 2 m depth bins for all variables while the currents timeseries were binned daily (median). 1D variables consist of: time (seconds since 00:00:00 on 1 January 0000), depth (meters), longitude (degrees East), latitude (degrees South), zonal and meridional glider surface currents (U_surf and V_surf, m/s), and zonal and meridional glider depth averaged currents (U_dac and V_dac, m/s). 2D variables consist of: conservative temperature (°C), absolute salinity (g/kg), potential density (kg/m³), and dissolved oxygen concentration (µmol/kg).
    Keywords: Benguela_transect; Benguela Upwelling System; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Gauging ocean Organic Carbon fluxes using Autonomous Robotic Technologies; Glider; GOCART; hypoxia; ocean; Oxygen; Salinity; Slocum G2 glider; SNF_184251; Temperature; The influence of mesoscale variability on organic carbon export fluxes: bridging models and observations
    Type: Dataset
    Format: application/zip, 6.3 MBytes
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 77
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    Unknown
    Brackish water carbonate chemistry and concentrations of dimethyl sulfide (DMS) and dimethylsulfoniopropionate (DMSP) (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The objective of this study was to assess experimentally the potential impact of anthropogenic pH perturbation (ApHP) on concentrations of dimethyl sulfide (DMS) and dimethylsulfoniopropionate (DMSP), as well as processes governing the microbial cycling of sulfur compounds. A summer planktonic community from surface waters of the Lower St. Lawrence Estuary was monitored in microcosms over 12 days under three pCO2 targets: 1 * pCO2 (775 µatm), 2 * pCO2 (1,850 µatm), and 3 * pCO2 (2,700 µatm). A mixed phytoplankton bloom comprised of diatoms and unidentified flagellates developed over the course of the experiment. The magnitude and timing of biomass buildup, measured by chlorophyll a concentration, changed in the 3 * pCO2 treatment, reaching about half the peak chlorophyll a concentration measured in the 1 * pCO2 treatment, with a 2-day lag. Doubling and tripling the pCO2 resulted in a 15% and 40% decline in average concentrations of DMS compared to the control. Results from 35S-DMSPd uptake assays indicated that neither concentrations nor microbial scavenging efficiency of dissolved DMSP was affected by increased pCO2. However, our results show a reduction of the mean microbial yield of DMS by 34% and 61% in the 2 * pCO2 and 3 * pCO2 treatments, respectively. DMS concentrations correlated positively with microbial yields of DMS (Spearman's ρ = 0.65; P 〈 0.001), suggesting that the impact of ApHP on concentrations of DMS in diatom-dominated systems may be strongly linked with alterations of the microbial breakdown of dissolved DMSP. Findings from this study provide further empirical evidence of the sensitivity of the microbial DMSP switch under ApHP. Because even small modifications in microbial regulatory mechanisms of DMSP can elicit changes in atmospheric chemistry via dampened efflux of DMS, results from this study may contribute to a better comprehension of Earth's future climate.
    Keywords: Alkalinity, total; Aragonite saturation state; Bacteria, cells; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Brackish waters; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cells, other; Chlorophyll a; Choanoflagellates; Chrysophyceae; Community composition and diversity; Cryptophyceae; DATE/TIME; Diatoms; Dimethyl sulfide; Dimethyl sulfide, yield; Dimethylsulfoniopropionate, dissolved; Dimethylsulfoniopropionate, total; Dimethylsulfoniopropionate rate; Dinoflagellates; Duration, number of days; Entire community; Flagellates indeterminata; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Laboratory experiment; MULT; Multiple investigations; Nitrate; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Potentiometric titration; Prasinophyceae; Primary production/Photosynthesis; Primary production of carbon, dissolved; Primary production of carbon, particulate; Primary production of carbon, total; Prymnesiophyceae; Quebec, Canada; Replicate; Salinity; Silicate; Spectrophotometric; StLawrence_Estuary; Sulfur, 35S; Temperate; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 2577 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 78
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    Unknown
    Water column raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO270 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water column raw data using the ship's own Kongsberg EM 122 multibeam echosounder was not continuously recorded during RV SONNE cruise SO270. Data was only recorded on 4 days between 2019-10-04 and 2019-10-22 in the Indian Ocean at the Saya de Malha Bank / Sommerville Bank. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH and added to the corresponding multibeam raw dataset doi:10.1594/PANGAEA.954993 This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; Kongsberg EM122 Multibeam Echo Sounder; LATITUDE; LONGITUDE; MASCARA; Multibeam Echosounder; Number of pings; Ship speed; SO270; SO270_0_Underway-2; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 234 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 79
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    Unknown
    Multibeam bathymetry raw data (Kongsberg EM710 entire dataset) of RV SONNE during cruise SO270 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 710 multibeam echosounder was not continuously recorded during RV SONNE cruise SO270. Data was recorded on 26 days between 2019-09-23 and 2019-10-19. This dataset a survey data covering the Saya de Malha Bank and Sommerville Bank with shallow water depth. The approximate average depth of the entire dataset is around 300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; EM710 multibeam echosounder; Event label; Expendable Sound Velocimeter; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; MASCARA; Multibeam Echosounder; Number of pings; Ship speed; SO270; SO270_0_Underway-3; SO270_10-1; SO270_22-1; SO270_22-2; SO270_58-2; SO270_84-2; SO270_9-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; XSV
    Type: Dataset
    Format: text/tab-separated-values, 6404 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 80
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    Nutrient (NO3, NO2, PO4, SiO4) concentrations in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water for nitrate (NO3), nitrite (NO2), phosphate (PO4) and silicate (SiO4) was filtered using an acid-washed 60-mL luer-lock syringe combined with an Acrodisc filter (GF/F 0.7 µm). Triplicate samples of filtrate were collected into 15-mL acid-washed polyethylene tubes. Two replicates were kept in the dark at -20°C while the third replicate was poisoned with 24 µL of mercuric chloride and subsequently stored in the dark at 4°C prior to analysis (Hansen & Koroleff, 2007; doi:10.1002/9783527613984.ch10). Nutrient concentrations were determined using an automated colorimetric procedure described in Aminot & Kérouel (2007 (see further details)).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Coastal waters; Colorimetric analysis; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; Nitrate; Nitrite; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Phosphate; Silicate; Station label
    Type: Dataset
    Format: text/tab-separated-values, 856 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 81
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    Bulk total organic carbon and calcium carbonate content and accumulation rates of sediment core ARA04C/37, Beaufort Sea, Arctic Ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 37GVC1; Accumulation rate, calcium carbonate; Accumulation rate, mass; Accumulation rate, terrigenous; Accumulation rate, total organic carbon; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; Calcium carbonate; Carbon, organic, total; Density, wet bulk; DEPTH, sediment/rock; GC; GDGT; Gravity corer; IP25; Magnetic susceptibility; Sea ice; sterols
    Type: Dataset
    Format: text/tab-separated-values, 4677 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 82
    facet.materialart.
    Unknown
    Sterols of sediment core ARA04C/37, Beaufort Sea, Arctic Ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 24-Methylcholest-5-en-3beta-ol and 24-Ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 37GVC1; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; Accumulation rate, 24-Methylcholest-5-en-3beta-ol and 24-Ethylcholest-5-en-3beta-ol; Accumulation rate, 24-Methylcholesta-5,22E-dien-3beta-ol; Accumulation rate, 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; DEPTH, sediment/rock; GC; GDGT; Gravity corer; IP25; Sea ice; sterols
    Type: Dataset
    Format: text/tab-separated-values, 588 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 83
    facet.materialart.
    Unknown
    Temperature and salinity in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: During Leg 1, the CTD (CTD RBR Maestro) was manually lowered in the water through an ice hole. During legs 2 to 4, the CTD (CTD RBR Concerto) was installed on a Seabird Scientific optical package frame. Poor quality profiles, that had been affected by ice-covered sensors, were removed. Atmospheric pressure observed at weather stations near the sampling locations (Aklavik, Inuvik, Shingle Point and Tuktoyaktuk) was used to tare the CTD pressure sensors. The salinity was re-measured on discrete water samples (Sal Lab) using Mettler Toledo Conductivity/Salinity/pH meter.
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; CTD; DATE/TIME; DEPTH, water; Event label; hydrographic data; Laboratory measurement; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Salinity; Station label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 699 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 84
    facet.materialart.
    Unknown
    Dissolved organic carbon (DOC) concentration in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water samples were filtered through 0.7 µm GF/F filter, and acidified with 25 µL Suprapur HCl (10 M) on the same day of sampling. DOC samples were stored and kept at 4°C in the dark during transport until further analysis. Concentration of DOC was measured using high-temperature catalytic oxidation (TOC-VCPH, Shimadzu) at the Alfred-Wegener-Institute (AWI) Potsdam, Germany. Blanks (Milli-Q water) and certified reference standards (Battle-02, Mauri-09 or Super-05 from the National Laboratory for Environmental Testing, Canada) were measured for quality control.
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Carbon, organic, dissolved; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; High Temperature Catalytic Oxidation (Shimadzu TOC-VCPN); hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Station label
    Type: Dataset
    Format: text/tab-separated-values, 428 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 85
    facet.materialart.
    Unknown
    Stable water isotopes (δ18O, δD, d-excess) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water samples for stable isotopes were collected untreated in 10 mL HDPE vials, sealed tightly, stored in the dark at 4°C. Measurements were conducted at the laboratory facility for stable isotopes at AWI Potsdam using a Finnigan MAT Delta-S mass spectrometer equipped with equilibration units for the online determination of hydrogen and oxygen isotopic composition. The data is given as δD and δ18O values, which is the per mille difference to standard V-SMOW. The deuterium excess (d-excess) is calculated by: d-excess=δD-8.*δ18O. The measurement accuracy for hydrogen and oxygen isotopes was better than ±0.8%¸ and ±0.1%, respectively (Meyer et al., 2000; doi:10.1080/10256010008032939).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; AWI_Envi; AWI_Perma; biogeochemistry; Biooptics; Calculated; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Deuterium excess; Event label; hydrographic data; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; Mass spectrometer Finnigan Delta-S; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Permafrost Research; Polar Terrestrial Environmental Systems @ AWI; Station label; δ18O; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 709 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Phytoplankton pigment concentrations measured by HPLC in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The determination of phytoplankton using high performance liquid chromatography (HPLC) is detailed in Hooker et al. (2005; doi:10.1364/AO.44.000553) and Ras et al. (2008; doi:10.5194/bg-5-353-2008). Briefly, the pigments of particles retained on GF/F (0.7 µm) filters were extracted at -20°C with 3 mL methanol (100%). The filter samples were then disrupted using a sonicator and clarified one hour later by vacuum filtration through GF/F filters. The extracts were rapidly analyzed within 24h by HPLC with a complete Agilent Technologies system (comprising LC Chemstation software, a degasser, a binary pump, a refrigerated autosampler, a column thermostat and a diode array detector).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; Alloxanthin; alpha-Carotene + beta-Carotene; biogeochemistry; Biooptics; Carotenoid pigments, photoprotective; Carotenoid pigments, photoprotective/Carotenoids, total ratio; Carotenoid pigments, photoprotective/Pigments, total; Carotenoid pigments, photosynthetic; Carotenoid pigments, photosynthetic/Carotenoids, total ratio; Carotenoid pigments, photosynthetic/Pigments, total; Carotenoids, total; Chlorophyll, total/Carotenoids, total ratio; Chlorophyll a; Chlorophyll a/Pigments, total; Chlorophyll b; Chlorophyll c; Chlorophyll c2 + chlorophyll c1 + Mg-2,4-divinyl pheoporphyrin; Chlorophyll c3; Chlorophyllide a; Chlorophyll total; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Diadinoxanthin; Diatoxanthin; Event label; Fucoxanthin; High Performance Liquid Chromatography (HPLC); hydrographic data; LATITUDE; LONGITUDE; Lutein; Mackenzie; Mackenzie Delta, Canada; Monovinyl chlorophyll a; Monovinyl chlorophyll b; MULT; Multiple investigations; Neoxanthin; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Peridinin; Pheophorbide a, total; Pheophytin a, total; Pigments, accessory/chlorophyll a ratio; Pigments, photosynthetic; Pigments, total; Pigments, total accessory; Pigments, total diagnostic; Prasinoxanthin; Station label; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 4635 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 87
    facet.materialart.
    Unknown
    Modes calculated on a Cr and spinel-free basis of Hole CM1A (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Brucite; CDRILL; Classification; Clinopyroxene; CM2A; Comment; Core descriptions (VCD); Core drilling; Depth, top/min; Dunites; Geochemistry; Harzburgites; Holes CM1A and CM2B; ICDP; ICDP Oman Drilling Project; International Continental Scientific Drilling Program; Lithology/composition/facies; Magnetite; Olivine; Oman; OmanDP; OmanDP_CM2A; Oman Drilling Project; Oman ophiolite Crust-Mantle transition; Orthopyroxene; Peridotite Carbonation; Plagioclase; Residual; Sample code/label; Serpentine; serpentinite; Spinel; Sulfide; Thin section descriptions (TS); trace element; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 893 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Major element compositions of Hole CM1A (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Aluminium oxide; Calcium carbonate; Calcium oxide; Calculated; Carbon, inorganic, total; Carbon, total; Carbon dioxide; CDRILL; Core drilling; Coulometry; Depth, bottom/max; Depth, top/min; Dunites; Element analyser CHNS; Geochemistry; Harzburgites; Holes CM1A and CM2B; ICDP Oman Drilling Project; Iron oxide, Fe2O3; Laboratory; Leg Number; Lithology/composition/facies; Loss on ignition; Magnesium oxide; Manganese oxide; Number; Oman; OmanDP; OmanDP_CM1A; Oman Drilling Project; Oman ophiolite Crust-Mantle transition; Peridotite Carbonation; Phosphorus pentoxide; Potassium oxide; Sample code/label; Sample ID; Sample volume; serpentinite; Silicon dioxide; Sodium oxide; Titanium dioxide; Total; trace element; Water; X-ray fluorescence (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 1791 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Methane and nitrous oxide sea-air fluxes calculated from samples collected in the North American Arctic Ocean (2015–2018) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset contains methane and nitrous oxide dissolved gas concentration, dissolved methane carbon isotope, and ancillary hydrographic data from research cruises in the North American Arctic Ocean between 2015-2018. Ocean samples for methane and nitrous oxide analysis were collected from Niskin bottles mounted on a CTD rosette. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). Equilibrium dry atmospheric concentrations were 328.25, 329.14, 330.11, and 330.96 ppb for N2O and 1919.64, 1933.67, 1934.92, and 1933.50 ppb for CH4 in 2015, 2016, 2017, and 2018, respectively. Equilibrium dissolved concentrations were calculated from the measured temperature and salinity following Wiesenburg and Guinasso (1979) for CH4 and Weiss and Price (1980) for N2O. Equilibrium concentrations were calculated based on sample temperature and salinity and the atmospheric N2O or CH4 concentrations measured at Barrow, Alaska by the NOAA Earth System Research Laboratory Global Monitoring Division (Dlugokencky et al., 2020a,b), with corrections to local sea level pressure and 100% humidity. Oxygen concentration was determined using an oxygen sensor mounted on the Niskin rosette, calibrated with discrete samples analyzed by Winkler titration. The mixed layer depth was defined based on a potential density difference criterion of 0.125 kg/m³ relative to the density at 5 m depth, using CTD profiles binned to 1 m. The mixed layer depth was set to 5 m as a minimum. The instantaneous gas transfer velocities and fluxes are based on the instantaneous wind speed at the time of sampling. The 30-day weighted gas transfer velocities and fluxes are integrated over the residence time of the gas in the mixed layer, using up to the prior 30 days of observations, following the method of Teeter et al. (2018) as described in the main manuscript of Manning et al. (2022). The 60-day weighted gas transfer velocities and fluxes are integrated over the residence time of the gas in the mixed layer, using the prior 60 days of observations, following the method of Teeter et al. (2018) as described in the main manuscript of Manning et al. (2022). Atmospheric sea level pressure was obtained from the NCEP/NCAR reanalysis product, which is provided by the NOAA-ESRL Physical Sciences Laboratory (https://psl.noaa.gov/data/gridded). Fractional ice cover was obtained from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (https://osi-saf.eumetsat.int). Sea ice concentration product AMSR-2 (identifier OSI-408) was used in 2017–2018 and SSMIS (identifier OSI-401-b) was used in 2015–2016.
    Keywords: 101; 105; 108; 111; 115; 126; 129; 131; 176; 177; 180; 2015-006; 2015-007; 2016-016; 2016-017; 2017-011; 2017-093; 2018-063; 2018-081; 301; 304; 312; 314; 322; 323; 325; 333; 343; 344; 405; 408; 420; 421; 424; 426; 428; 430; 432; 434; 437; 470; 472; 474; 476; 478; 480; 482; 5.1; 535; 554; 694; 732; A16; A2; A8; AG5; AMD15_2; AMD15_2_312-1; AMD15_2_314-1; AMD15_2_325-1; AMD15_2_BB2-1; AMD15_2_BB3-1; AMD15_2_CAA1-1; AMD15_2_CAA2-1; AMD15_2_CAA4-1; AMD15_2_CAA5-1; AMD15_2_CAA6-1; AMD15_2_CAA7-1; AMD15_2_VS-1; AMD16_3a; AMD16_3a_312-1; AMD16_3a_314-1; AMD16_3a_343-1; AMD16_3a_344-1; AMD16_3a_405-1; AMD16_3a_408-1; AMD16_3a_420-1; AMD16_3a_421-1; AMD16_3a_424-1; AMD16_3a_426-1; AMD16_3a_428-1; AMD16_3a_430-1; AMD16_3a_432-1; AMD16_3a_434-1; AMD16_3a_437-1; AMD16_3a_470-1; AMD16_3a_472-1; AMD16_3a_474-1; AMD16_3a_476-1; AMD16_3a_478-1; AMD16_3a_480-1; AMD16_3a_482-1; AMD16_3a_535-1; AMD16_3a_554-1; AMD17_2; AMD17_2_101-1; AMD17_2_105-1; AMD17_2_108-1; AMD17_2_111-1; AMD17_2_115-1; AMD17_2_126-1; AMD17_2_129-1; AMD17_2_131-1; AMD17_2_176-1; AMD17_2_180-1; AMD17_2_301-1; AMD17_2_304-1; AMD17_2_312-1; AMD17_2_322-1; AMD17_2_323-1; AMD17_2_325-1; AMD17_2_333-1; AMD17_2_5.1-1; AMD17_2_694-1; AMD17_2_732-1; AMD17_2_A16-1; AMD17_2_A2-1; AMD17_2_A8-1; AMD17_2_BB1-1; AMD17_2_BB2-1; AMD17_2_BB3-1; AMD17_2_BELLOT-1; AMD17_2_FS2Deep-1; AMD17_2_QMG1-1; AMD17_2_QMG2-1; AMD17_2_QMG3-1; AMD17_2_QMG4-1; AMD17_2_QMGM-1; AMD17_2_TS233-1; AMD18_3; AMD18_3_101-3; AMD18_3_115-3; AMD18_3_177-3; AMD18_3_312-3; AMD18_3_322-3; AMD18_3_DFO-9-3; AMD18_3_DiskoFan-3; AMD18_3_Lophelia-3; AMD18_3_NearTrinity-3; AMD18_3_NLSE-07-3; AMD18_3_QMG1-3; AMD18_3_QMG2-3; AMD18_3_QMG3-3; AMD18_3_QMG4-3; AMD18_3_QMGM-3; AMD18_3_ScottInlet0t2-3; AMD18_3_ScottInlet-3; AMD18_3_SWGreenland3-3; AN1702; Arctic; ArcticNet; ArcticNet/ESRF; Arctic Ocean; BarC-1; BarC-10; BarC-2; BarC-4; BarC-5; BarC-6; BarC-8; BB1; BB2; BB3; BCL-6A; BELLOT; BL1; BL2; BL3; BL4; BL6; BL8; BRS-3; CAA1; CAA2; CAA4; CAA5; CAA6; CAA7; Calculated; Canadian Coast Guard (Sir W. Laurier); CB1; CB23a; CB28aa; CB28b; CB31b; CB4; CCGS Amundsen; CTD, Sea-Bird; CTD/Rosette; CTD-RO; DATE/TIME; DBO4.1; DBO4.2; DBO4.2n; DBO4.3; DBO4.3n; DBO4.4; DBO4.4n; DBO4.5; DBO4.5n; DBO4.6; DBO4.6n; DEPTH, water; DFO-9; DiskoFan; Event label; FS2Deep; Gas chromatography - Mass spectrometry (GC-MS); GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; Ice cover, fractional; International Polar Year (2007-2008); IPY; LATITUDE; LEG 2 GEOTRACES/ARCTICNET; LONGITUDE; Lophelia; Louis S. St-Laurent; LSL1509; LSL1509_AG5-1; LSL1509_BL2-1; LSL1509_BL4-1; LSL1509_BL6-1; LSL1509_CB1-1; LSL1509_CB23a-1; LSL1509_CB28aa-1; LSL1509_CB31b-1; LSL1509_CB4-1; LSL1509_MK1-1; LSL1509_MK2-1; LSL1509_MK3-1; LSL1509_MK4-1; LSL1609; LSL1609_AG5-1; LSL1609_BL1-1; LSL1609_BL2-1; LSL1609_BL3-1; LSL1609_BL4-1; LSL1609_BL6-1; LSL1609_BL8-1; LSL1609_CB28aa-1; LSL1609_MK1-1; LSL1609_MK2-1; LSL1609_MK3-1; LSL1609_MK4-1; LSL1709; LSL1709_AG5-1; LSL1709_BL1-1; LSL1709_BL2-1; LSL1709_BL3-1; LSL1709_BL4-1; LSL1709_BL6-1; LSL1709_BL8-1; LSL1709_CB28aa-1; LSL1709_CB28b-1; LSL1709_MK3-1; LSL1809; LSL1809_AG5-1; LSL1809_BL1-1; LSL1809_BL2-1; LSL1809_BL3-1; LSL1809_BL4-1; LSL1809_BL6-1; LSL1809_BL8-1; LSL1809_CB28aa-1; LSL1809_MK1-1; LSL1809_MK2-1; LSL1809_MK3-1; LSL1809_MK4-1; Marine Biogeochemistry and Surface Exchange of Climate Active Gases; Methane; Methane, dissolved; Methane, dissolved, equilibrium; Methane, dissolved, gas transfer velocity; Methane, flux; Methane, standard deviation; Mixed layer depth; MK1; MK2; MK3; MK4; NearTrinity; nitrous oxide; Nitrous oxide, dissolved; Nitrous oxide, dissolved, equilibrium; Nitrous oxide, dissolved, gas transfer velocity; Nitrous oxide, flux; Nitrous oxide, standard deviation; NLSE-07; ocean; Pressure; Pressure, water; QMG1; QMG2; QMG3; QMG4; QMGM; rivers; Salinity; ScottInlet; ScottInlet0t2; SEC-1; SEC-3; SEC-5; SEC-7; SEC-8; SLIP-1; SLIP-3; SLIP-4; SLIP-5; Station label; SWGreenland3; SWL1507; SWL1507_BarC-10-1; SWL1507_BarC-2-1; SWL1507_BarC-4-1; SWL1507_BarC-6-1; SWL1507_BarC-8-1; SWL1507_BCL-6A-1; SWL1507_BRS-3-1; SWL1507_DBO4.1-1; SWL1507_DBO4.2-1; SWL1507_DBO4.3-1; SWL1507_DBO4.5-1; SWL1507_SEC-1-1; SWL1507_SEC-3-1; SWL1507_SEC-5-1; SWL1507_SEC-7-1; SWL1507_SLIP-1-1; SWL1507_SLIP-3-1; SWL1507_SLIP-4-1; SWL1507_SLIP-5-1; SWL1507_UTBS-2-1; SWL1507_UTBS-4-1; SWL1507_UTN-1-1; SWL1507_UTN-3-1; SWL1507_UTN-7-1; SWL1607; SWL1607_BCL-6A-1; SWL1607_BRS-3-1; SWL1607_DBO4.1-1; SWL1607_DBO4.3-1; SWL1607_SEC-1-1; SWL1607_SEC-3-1; SWL1607_SEC-5-1; SWL1607_SEC-7-1; SWL1607_SLIP-1-1; SWL1607_SLIP-3-1; SWL1607_SLIP-4-1; SWL1607_SLIP-5-1; SWL1607_UTBS-1-1; SWL1607_UTBS-5-1; SWL1607_UTN-2-1; SWL1607_UTN-4-1; SWL1607_UTN-6-1; SWL1707; SWL1707_BarC-10-1; SWL1707_BarC-1-1; SWL1707_BarC-5-1; SWL1707_BCL-6A-1; SWL1707_BRS-3-1; SWL1707_DBO4.1-1; SWL1707_DBO4.2-1; SWL1707_DBO4.3-1; SWL1707_DBO4.4-1; SWL1707_DBO4.5-1; SWL1707_DBO4.6-1; SWL1707_SEC-1-1; SWL1707_SEC-3-1; SWL1707_SEC-5-1; SWL1707_SEC-7-1; SWL1707_SEC-8-1; SWL1707_SLIP-1-1; SWL1707_SLIP-3-1; SWL1707_SLIP-4-1; SWL1707_SLIP-5-1; SWL1707_UTBS-1-1; SWL1707_UTBS-5-1; SWL1707_UTN-2-1; SWL1707_UTN-4-1; SWL1707_UTN-6-1; SWL1807; SWL1807_BCL-6A-1; SWL1807_BRS-3-1; SWL1807_DBO4.2n-1; SWL1807_DBO4.3n-1; SWL1807_DBO4.4n-1; SWL1807_DBO4.5n-1; SWL1807_DBO4.6n-1; SWL1807_SEC-1-1; SWL1807_SEC-3-1; SWL1807_SEC-5-1; SWL1807_SEC-7-1; SWL1807_SLIP-1-1; SWL1807_SLIP-3-1; SWL1807_SLIP-4-1; SWL1807_SLIP-5-1; SWL1807_UTBS-1-1; SWL1807_UTBS-5-1; SWL1807_UTN-2-1; SWL1807_UTN-4-1; Temperature, water; TS233; UTBS-1; UTBS-2; UTBS-4; UTBS-5; UTN-1; UTN-2; UTN-3; UTN-4; UTN-6; UTN-7; VS
    Type: Dataset
    Format: text/tab-separated-values, 6776 data points
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  • 90
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    Unknown
    Major element compositions of Hole CM2B (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Aluminium oxide; Calcium carbonate; Calcium oxide; Calculated; Carbon, inorganic, total; Carbon, total; Carbon dioxide; CM2B; Coulometry; Depth, bottom/max; Depth, top/min; Dunites; Element analyser CHNS; Geochemistry; Harzburgites; Holes CM1A and CM2B; ICDP Oman Drilling Project; Iron oxide, Fe2O3; Laboratory; Leg Number; Lithology/composition/facies; Loss on ignition; Magnesium oxide; Manganese oxide; Number; Oman; OmanDP; OmanDP_CM2B; Oman Drilling Project; Oman ophiolite Crust-Mantle transition; Peridotite Carbonation; Phosphorus pentoxide; Potassium oxide; Sample code/label; Sample ID; Sample volume; serpentinite; Silicon dioxide; Sodium oxide; Titanium dioxide; Total; trace element; Water; X-ray fluorescence (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 2411 data points
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  • 91
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    Unknown
    Modern analogue technique of sediment core HH16-1205-GC (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: AGE; DEPTH, sediment/rock; GC; Gravity corer; HH16-1205-GC; Modern analogue technique (MAT); Primary production of carbon, spring; Primary production of carbon, spring, maximum; Primary production of carbon, spring, minimum; Primary production of carbon, summer; Primary production of carbon, summer, maximum; Primary production of carbon, summer, minimum; Sea ice cover duration; Sea ice cover duration, maximum; Sea ice cover duration, minimum; Sea surface salinity, summer; Sea surface salinity, summer, maximum; Sea surface salinity, summer, minimum; Sea surface salinity, winter; Sea surface salinity, winter, maximum; Sea surface salinity, winter, minimum; Sea surface temperature, summer; Sea surface temperature, summer max; Sea surface temperature, summer min; Sea surface temperature, winter; Sea surface temperature, winter max; Sea surface temperature, winter min
    Type: Dataset
    Format: text/tab-separated-values, 1953 data points
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  • 92
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    Unknown
    Bulk mineral assemblage of sediment core HH17-1106-GC (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Ankerite; Ankerite-Dolomite; Apatite; Aragonite; Barite; Biotite; Buliminella apiculata var. hebetate; Calcite; Calcite/Dolomite ratio; Carbonates; Chlorite; Chloritoid; Clay minerals, expandable; Clinopyroxene; Comment; Cristobalite; DEPTH, sediment/rock; Dolomite; Epidote; File name; Full Pattern Quantification with QUAX software; Garnet; GC; Glauconite; Gravity corer; Gypsum; Helmer Hanssen; HH17-1106-GC-MF; HH2017-666; Holocene Research; Illite; Illite 5Å/10Å Esquevin-index; Iron oxides; Kalifeldspar; Kalifeldspar/Plagioclase ratio; Kaolinite; Kaolinite/Chlorite ratio; Korean Polar Institute; Magnetite; Mixed layer clay minerals; Montmorillonite; Muscovite; Orthopyroxene; Phyllosilicate; Plagioclase; Pyrite, FeS2; Quartz; Quartz/Feldspar ratio; Quartz/Phyllosillicates ratio; Rutile; Sample code/label; Serpentinite; Siderite + Magnesite; Silicon dioxide; Sillimanite; Smectite; Sodium chloride; Spinel; Svalbard fjords; Tridymite; Vivianite; Wijdefjorden; X-ray diffraction (Philips X'Pert Pro); XRD; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 4648 data points
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  • 93
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    Unknown
    Bulk mineral assemblage of surface sediment samples from Svalbard fjord systems (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Ankerite; Ankerite-Dolomite; Apatite; Aragonite; Barite; BC; Bellsund; Biotite; Box corer; Calcite; Calcite/Dolomite ratio; Carbonates; Chlorite; Chloritoid; Clay minerals, expandable; Clinopyroxene; Comment; Cristobalite; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Dicksonfjorden; Dolomite; Elevation of event; Epidote; Event label; File name; Full Pattern Quantification with QUAX software; Garnet; GC; Glauconite; Gravity corer; Gypsum; HH12-964-GC; HH12-966-GC; HH12-967-GC; HH12-969-GC; HH15-1464-BC-MF; HH15-1466-BC-MF; HH15-1468-BC-MF; HH15-1469-BC-MF; HH15-1472-BC-MF; HH15-1474-BC-MF; HH15-1475-BC-MF; HH15-1476-BC-MF; HH15-1478-BC-MF; HH15-1479-BC-MF; HH15-1480-BC-MF; HH15-1482-BC-MF; HH15-1484-BC-MF; HH15-1485-BC-MF; HH15-1486-BC-MF; HH15-1488-BC-MF; HH15-1489-BC-MF; HH15-1490-BC-MF; HH15-1499-BC-MF; HH16-1176-BC-MF; HH16-1182-BC-MF; HH16-1185-BC-MF; HH16-1187-BC-MF; HH16-1190-BC-MF; HH16-1193-BC-MF; HH16-1196-BC-MF; HH16-1199-BC-MF; HH16-1205-GC-MF; HH16-1209-GC-MF; HH16-1214-GC-MF; HH16-1223-BC-MF; HH16-1227-BC-MF; HH16-1230-BC-MF; HH17-1086-BC-MF; HH17-1107-BC-MF; HH17-1108-BC-MF; HH17-1109-BC-MF; HH17-1110-BC-MF; HH17-1111-BC-MF; HH19-847-BC; HH19-850-BC; HH19-855-BC; HH19-858-BC; HH19-863-BC; HH19-868-BC; HH19-872-BC; HH19-876-BC; HH19-877-GC; HH19-878-GC; HH19-884-GC; HH19-885-BC; HH19-888-BC; HH19-891-BC; HH19-895-BC; HH19-898-BC; HH19-900-BC; HH19-901-GC; HH19-903-GC; HH19-905-GC; Holocene Research; Hornsund; Illite; Illite+mica; Illite 5Å/10Å Esquevin-index; Iron oxides; Isfjorden; Kalifeldspar; Kalifeldspar/Plagioclase ratio; Kaolinite; Kaolinite/Chlorite ratio; Korean Polar Institute; Latitude of event; Location; Longitude of event; Magnetite; Mixed layer clay minerals; Montmorillonite; Muscovite; Orthopyroxene; Phyllosilicate; Plagioclase; Pyrite, FeS2; Quartz; Quartz/Feldspar ratio; Quartz/Phyllosillicates ratio; Rutile; Sample code/label; Serpentinite; Siderite + Magnesite; Silicon dioxide; Sillimanite; Smectite; Sodium chloride; Spinel; Storfjorden; Svalbard fjords; Tempelfjorden; Tridymite; Van Keulenfjorden; Van Mijenfjorden; Vivianite; Wijdefjorden; Woodfjorden; X-ray diffraction (Philips X'Pert Pro); XRD; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 3707 data points
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  • 94
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    Unknown
    Bulk mineral assemblage of bedrock samples from the Svalbard fjord system (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Ankerite; Ankerite-Dolomite; Apatite; Aragonite; Barite; Bedrock_080109; Bedrock_080111; Bedrock_080114; Bedrock_080302; Bedrock_13071005; Bedrock_13071104; Bedrock_13071105; Bedrock_20150901-02; Bedrock_KIGAM_25; Bedrock_KIGAM05; Bedrock_KIGAM16; Bedrock_SF00_5; Bedrock_SK01; Bedrock_SK20; Bedrock_Sval_central; Bedrock_SYB05; Bedrock_SYB40_1; Bedrock_SYB56; Bedrock type; Biotite; Blomstrandhalvoya; Broggerhalvoya; Calcite; Calcite/Dolomite ratio; Carbonates; Chlorite; Chloritoid; Clay minerals, expandable; Clinopyroxene; Comment; Cristobalite; Dolomite; Elevation of event; Epidote; Event label; Festningen; File name; Full Pattern Quantification with QUAX software; Garnet; Glauconite; Gypsum; Halvdanpiggen; Holocene Research; Illite; Illite+mica; Illite 5Å/10Å Esquevin-index; Iron oxides; Janusfjellet; Kalifeldspar; Kalifeldspar/Plagioclase ratio; Kaolinite; Kaolinite/Chlorite ratio; Korean Polar Institute; Latitude of event; Location; Longitude of event; Magnetite; Mixed layer clay minerals; Montmorillonite; Muscovite; Orthopyroxene; Phyllosilicate; Plagioclase; Plataberget; Pyrite, FeS2; Quartz; Quartz/Feldspar ratio; Quartz/Phyllosillicates ratio; ROCK; Rock sample; Rotundafjellet; Rutile; Sample code/label; Serpentinite; Siderite + Magnesite; Silicon dioxide; Sillimanite; Skansen; Smectite; Sodium chloride; Spinel; Stratigraphic Unit; Stratigraphy; Svalbard fjords; Tridymite; Vivianite; X-ray diffraction (Philips X'Pert Pro); XRD; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 1020 data points
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  • 95
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    Stable carbon isotopes of sediment core ARA04C/37, Beaufort Sea, Arctic Ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 37GVC1; AGE; ARA04C; ARA04C/37; Araon; Arctic Ocean; Beaufort Sea; DEPTH, sediment/rock; GC; GDGT; Gravity corer; IP25; Sea ice; sterols; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 199 data points
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  • 96
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    Fluorescent dissolved organic matter (FDOM) intensity (Parafac components and FDOM indices) in the surface water of the Mackenzie Delta Region during 4 expeditions from spring to fall in 2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Fluorescent dissolved organic matter intensity was measured with an Aqualog®. Measurements were corrected for inner-filter effects and for the Raman and Rayleigh scattering (Murphy et al., 2013; doi:10.1039/C3AY41160E). The different fluorescent components of DOM were isolated from combined signal by PARAFAC modeling using the “drEEM Toolbox” and following the recommendation of Murphy et al. (2013; doi:10.1039/C3AY41160E). The DOM components derived from PARAFAC modeling were compared with PARAFAC components from other studies through the OpenFluor database (Murphy et al., 2014; doi:10.1039/C3AY41935E). The coble-peaks indicate major fluorescent components (Coble 1996; doi:10.1016/0304-4203(95)00062-3) in marine FDOM EEMs (Excitation-Emission-Matrix). Peaks T represents protein-like compounds (tyrosine and tryptophane), peaks A and C are indicators of humic-like components whereas peak M was associated to marine humic-like fluorescence. The fluorescence index (FI) is calculated as the ratio of fluorescence at emission 450 nm and 500 nm, at fixed excitation of 370 nm. The HIX index is the ratio of the areas of two spectral wavelength regions in the emission spectra for an excitation at 254 nm and it is obtained as: HIX = H∕L, where H is the area between 435 and 480 nm in the emission spectra and L is the area in the emission spectra between 300 and 345 nm (Zsolnay et al., 1999; doi:10.1016/S0045-6535(98)00166-0). The BIX index is obtained by calculating the ratio of the emission at 380 and 430 nm, excited at 310 nm: BIX = IEm380∕IEm430 (Huguet et al., 2009; doi:10.1016/j.orggeochem.2009.03.002).
    Keywords: 1_STN01; 1_STN020; 1_STN040; 1_STN0a; 1_STN0b; 1_STN140alt; 1_STN150alt; 1_STN340alt; 1_STN350; 1_STN360; 1_STN370alt; 1_STN380alt; 1_STN540alt; 1_STN550; 1_STN740; 1_STN810; 1_STN830; 1_STN840; 1_STN850; 1_STN860; 1_STN870; 2_STN030; 2_STN040; 2_STN1030; 2_STN1040; 2_STN1050; 2_STN1060; 2_STN110; 2_STN120; 2_STN140alt; 2_STN150alt; 2_STN310; 2_STN320; 2_STN330; 2_STN340alt; 2_STN350; 2_STN360; 2_STN370; 2_STN380alt_2; 2_STN420; 2_STN430; 2_STN450; 2_STN530; 2_STN540alt; 2_STN550; 2_STN565; 2_STN620; 2_STN630; 2_STN740; 2_STN800; 2_STN810; 2_STN820; 2_STN830; 2_STN840; 2_STN850; 2_STN860; 2_STN870; 2_STN999; 2_STNxxx; 2_XX2; 2_XX3; 3_STN010; 3_STN020; 3_STN030; 3_STN040; 3_STN1030; 3_STN1040; 3_STN1050; 3_STN1060; 3_STN125; 3_STN130; 3_STN130_5m; 3_STN135; 3_STN140alt; 3_STN150alt; 3_STN330; 3_STN340alt; 3_STN350; 3_STN360; 3_STN370alt; 3_STN380; 3_STN740; 3_STN800; 3_STN810; 3_STN820; 3_STN830; 3_STN840; 3_STN850; 3_STN860; 3_STN870; 3_STNR01; 3_STNR02; 3_STNR02_5m; 3_STNR03; 3_STNR04; 3_STNR05; 3_STNR06; 3_STNR07; 3_STNR08; 3_STNR09; 3_STNR09_20m; 3_STNR10; 3_STNR11; 3_STNR12; 3_STNR13; 3_STNxxx; 4_STN010; 4_STN020; 4_STN030; 4_STN040; 4_STN1030; 4_STN1040; 4_STN1050; 4_STN120; 4_STN125; 4_STN130; 4_STN135; 4_STN140alt; 4_STN140alt_2; 4_STN150alt; 4_STN330; 4_STN340alt; 4_STN350; 4_STN360; 4_STN370; 4_STN380alt; 4_STN740; 4_STN800; 4_STN810; 4_STN820; 4_STN830; 4_STN840; 4_STN840_2; 4_STN850; 4_STN860; 4_STN870; 4_STNR01; 4_STNR03; 4_STNR04; 4_STNR05; 4_STNR08; 4_STNR09; 4_STNR12; 4_STNXX4; 4_STNXX4_2; biogeochemistry; Biooptics; Coastal waters; Cruise/expedition; DATE/TIME; DEPTH, water; Event label; Fluorescence, dissolved organic matter, A coble-peak; Fluorescence, dissolved organic matter, biological index; Fluorescence, dissolved organic matter, C coble-peak; Fluorescence, dissolved organic matter, fluorescence index; Fluorescence, dissolved organic matter, humification index; Fluorescence, dissolved organic matter, M coble-peak; Fluorescence, dissolved organic matter, T coble-peak; Fluorescence spectrometer, AquaLog, HORIBA JobinYvon; hydrographic data; Intensity fluorescent dissolved organic matter, component 1; Intensity fluorescent dissolved organic matter, component 2; Intensity fluorescent dissolved organic matter, component 3; LATITUDE; LONGITUDE; Mackenzie; Mackenzie Delta, Canada; MULT; Multiple investigations; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; NunaWP4Mackenzie19_1_STN01; NunaWP4Mackenzie19_1_STN020; NunaWP4Mackenzie19_1_STN040; NunaWP4Mackenzie19_1_STN0a; NunaWP4Mackenzie19_1_STN0b; NunaWP4Mackenzie19_1_STN140alt; NunaWP4Mackenzie19_1_STN150alt; NunaWP4Mackenzie19_1_STN340alt; NunaWP4Mackenzie19_1_STN350; NunaWP4Mackenzie19_1_STN360; NunaWP4Mackenzie19_1_STN370alt; NunaWP4Mackenzie19_1_STN380alt; NunaWP4Mackenzie19_1_STN540alt; NunaWP4Mackenzie19_1_STN550; NunaWP4Mackenzie19_1_STN740; NunaWP4Mackenzie19_1_STN810; NunaWP4Mackenzie19_1_STN830; NunaWP4Mackenzie19_1_STN840; NunaWP4Mackenzie19_1_STN850; NunaWP4Mackenzie19_1_STN860; NunaWP4Mackenzie19_1_STN870; NunaWP4Mackenzie19_2_STN030; NunaWP4Mackenzie19_2_STN040; NunaWP4Mackenzie19_2_STN1030; NunaWP4Mackenzie19_2_STN1040; NunaWP4Mackenzie19_2_STN1050; NunaWP4Mackenzie19_2_STN1060; NunaWP4Mackenzie19_2_STN110; NunaWP4Mackenzie19_2_STN120; NunaWP4Mackenzie19_2_STN140alt; NunaWP4Mackenzie19_2_STN150alt; NunaWP4Mackenzie19_2_STN310; NunaWP4Mackenzie19_2_STN320; NunaWP4Mackenzie19_2_STN330; NunaWP4Mackenzie19_2_STN340alt; NunaWP4Mackenzie19_2_STN350; NunaWP4Mackenzie19_2_STN360; NunaWP4Mackenzie19_2_STN370; NunaWP4Mackenzie19_2_STN380alt_2; NunaWP4Mackenzie19_2_STN420; NunaWP4Mackenzie19_2_STN430; NunaWP4Mackenzie19_2_STN450; NunaWP4Mackenzie19_2_STN530; NunaWP4Mackenzie19_2_STN540alt; NunaWP4Mackenzie19_2_STN550; NunaWP4Mackenzie19_2_STN565; NunaWP4Mackenzie19_2_STN620; NunaWP4Mackenzie19_2_STN630; NunaWP4Mackenzie19_2_STN740; NunaWP4Mackenzie19_2_STN800; NunaWP4Mackenzie19_2_STN810; NunaWP4Mackenzie19_2_STN820; NunaWP4Mackenzie19_2_STN830; NunaWP4Mackenzie19_2_STN840; NunaWP4Mackenzie19_2_STN850; NunaWP4Mackenzie19_2_STN860; NunaWP4Mackenzie19_2_STN870; NunaWP4Mackenzie19_2_STN999; NunaWP4Mackenzie19_2_STNxxx; NunaWP4Mackenzie19_2_XX2; NunaWP4Mackenzie19_2_XX3; NunaWP4Mackenzie19_3_STN010; NunaWP4Mackenzie19_3_STN020; NunaWP4Mackenzie19_3_STN030; NunaWP4Mackenzie19_3_STN040; NunaWP4Mackenzie19_3_STN1030; NunaWP4Mackenzie19_3_STN1040; NunaWP4Mackenzie19_3_STN1050; NunaWP4Mackenzie19_3_STN1060; NunaWP4Mackenzie19_3_STN125; NunaWP4Mackenzie19_3_STN130; NunaWP4Mackenzie19_3_STN130_5m; NunaWP4Mackenzie19_3_STN135; NunaWP4Mackenzie19_3_STN140alt; NunaWP4Mackenzie19_3_STN150alt; NunaWP4Mackenzie19_3_STN330; NunaWP4Mackenzie19_3_STN340alt; NunaWP4Mackenzie19_3_STN350; NunaWP4Mackenzie19_3_STN360; NunaWP4Mackenzie19_3_STN370alt; NunaWP4Mackenzie19_3_STN380; NunaWP4Mackenzie19_3_STN740; NunaWP4Mackenzie19_3_STN800; NunaWP4Mackenzie19_3_STN810; NunaWP4Mackenzie19_3_STN820; NunaWP4Mackenzie19_3_STN830; NunaWP4Mackenzie19_3_STN840; NunaWP4Mackenzie19_3_STN850; NunaWP4Mackenzie19_3_STN860; NunaWP4Mackenzie19_3_STN870; NunaWP4Mackenzie19_3_STNR01; NunaWP4Mackenzie19_3_STNR02; NunaWP4Mackenzie19_3_STNR02_5m; NunaWP4Mackenzie19_3_STNR03; NunaWP4Mackenzie19_3_STNR04; NunaWP4Mackenzie19_3_STNR05; NunaWP4Mackenzie19_3_STNR06; NunaWP4Mackenzie19_3_STNR07; NunaWP4Mackenzie19_3_STNR08; NunaWP4Mackenzie19_3_STNR09; NunaWP4Mackenzie19_3_STNR09_20m; NunaWP4Mackenzie19_3_STNR10; NunaWP4Mackenzie19_3_STNR11; NunaWP4Mackenzie19_3_STNR12; NunaWP4Mackenzie19_3_STNR13; NunaWP4Mackenzie19_3_STNxxx; NunaWP4Mackenzie19_4_STN010; NunaWP4Mackenzie19_4_STN020; NunaWP4Mackenzie19_4_STN030; NunaWP4Mackenzie19_4_STN040; NunaWP4Mackenzie19_4_STN1030; NunaWP4Mackenzie19_4_STN1040; NunaWP4Mackenzie19_4_STN1050; NunaWP4Mackenzie19_4_STN120; NunaWP4Mackenzie19_4_STN125; NunaWP4Mackenzie19_4_STN130; NunaWP4Mackenzie19_4_STN135; NunaWP4Mackenzie19_4_STN140alt; NunaWP4Mackenzie19_4_STN140alt_2; NunaWP4Mackenzie19_4_STN150alt; NunaWP4Mackenzie19_4_STN330; NunaWP4Mackenzie19_4_STN340alt; NunaWP4Mackenzie19_4_STN350; NunaWP4Mackenzie19_4_STN360; NunaWP4Mackenzie19_4_STN370; NunaWP4Mackenzie19_4_STN380alt; NunaWP4Mackenzie19_4_STN740; NunaWP4Mackenzie19_4_STN800; NunaWP4Mackenzie19_4_STN810; NunaWP4Mackenzie19_4_STN820; NunaWP4Mackenzie19_4_STN830; NunaWP4Mackenzie19_4_STN840; NunaWP4Mackenzie19_4_STN840_2; NunaWP4Mackenzie19_4_STN850; NunaWP4Mackenzie19_4_STN860; NunaWP4Mackenzie19_4_STN870; NunaWP4Mackenzie19_4_STNR01; NunaWP4Mackenzie19_4_STNR03; NunaWP4Mackenzie19_4_STNR04; NunaWP4Mackenzie19_4_STNR05; NunaWP4Mackenzie19_4_STNR08; NunaWP4Mackenzie19_4_STNR09; NunaWP4Mackenzie19_4_STNR12; NunaWP4Mackenzie19_4_STNXX4; NunaWP4Mackenzie19_4_STNXX4_2; Station label
    Type: Dataset
    Format: text/tab-separated-values, 1702 data points
    Location Call Number Expected Availability
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  • 97
    facet.materialart.
    Unknown
    Lithological information, location, strontium, rubidium and carbon concentrations and Sr and C isotope data of samples for Hawasina and metamorphic sole samples (Table 2) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 87Sr/86Sr; Carbon, total; carbonated peridotite; d13C; Distance; Elevation of event; Event label; Formation; Geochemistry; HAND; Latitude of event; Longitude of event; OM20-01; OM20-03; OM20-04a; OM20-04B; OM20-05; OM20-06; OM20-07; OM20-08; OM20-09; OM20-10; OM20-11; OM20-12; OM20-13; OM20-14; OM20-15; OM20-16; OM20-17; OM20-18; OM20-19; OM20-42; Oman; OmanDP; Oman Drilling Project; Rubidium; Samail Ophiolite; Sampling by hand; Strontium; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard error; δ13C, total carbon
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Modes calculated on a Cr and spinel-free basis of Hole CM2B (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Brucite; Classification; Clinopyroxene; CM2B; Comment; Core descriptions (VCD); Depth, top/min; Dunites; Geochemistry; Harzburgites; Holes CM1A and CM2B; ICDP Oman Drilling Project; Lithology/composition/facies; Magnetite; Olivine; Oman; OmanDP; OmanDP_CM2B; Oman Drilling Project; Oman ophiolite Crust-Mantle transition; Orthopyroxene; Peridotite Carbonation; Plagioclase; Residual; Sample code/label; Serpentine; serpentinite; Spinel; Sulfide; Talc; Thin section descriptions (TS); trace element; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 1136 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Bulk mineral assemblage of sediment core HH17-1100-GC (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; Ankerite; Ankerite-Dolomite; Apatite; Aragonite; Barite; Biotite; Buliminella apiculata var. hebetate; Calcite; Calcite/Dolomite ratio; Carbonates; Chlorite; Chloritoid; Clay minerals, expandable; Clinopyroxene; Comment; Cristobalite; DEPTH, sediment/rock; Dolomite; Epidote; File name; Full Pattern Quantification with QUAX software; Garnet; GC; Glauconite; Gravity corer; Gypsum; Helmer Hanssen; HH17-1100-GC-MF; HH2017-666; Holocene Research; Illite; Illite 5Å/10Å Esquevin-index; Iron oxides; Kalifeldspar; Kalifeldspar/Plagioclase ratio; Kaolinite; Kaolinite/Chlorite ratio; Korean Polar Institute; Magnetite; Mixed layer clay minerals; Montmorillonite; Muscovite; Orthopyroxene; Phyllosilicate; Plagioclase; Pyrite, FeS2; Quartz; Quartz/Feldspar ratio; Quartz/Phyllosillicates ratio; Rutile; Sample code/label; Serpentinite; Siderite + Magnesite; Silicon dioxide; Sillimanite; Smectite; Sodium chloride; Spinel; Svalbard fjords; Tridymite; Vivianite; Wijdefjorden; X-ray diffraction (Philips X'Pert Pro); XRD; Zeolite; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 4256 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Sustainable industries through digital supply chains? (2023)
    In:  RIFS Blog, 06.03.2023
    Details
    Publication Date: 2024-04-27
    Description: Digitalisation has transformed the way we communicate and collaborate with friends, family, and colleagues. In a similar vein, digitalisation in industry – the so-called industry 4.0 – is expected to transform the way firms and their suppliers collaborate in global supply chains. Considering that 25 percent of global emissions in 2021 were generated by industry (IEA): Can industry 4.0 play a role in greening industrial supply chains? Researchers at the Research Institute for Sustainability (RIFS) at the Helmholtz Centre Potsdam explored the opportunities and risks of digital supply chains for environmental sustainability. In short: sustainability does not simply occur as a by-product of digitalization. Firms should aim to increase sustainability levels in their supply chain – whether through digital or non-digital means.
    Language: English
    Type: info:eu-repo/semantics/other
    Format: application/pdf
    Location Call Number Expected Availability
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    CITATION RIFS
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