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  • 2020-2024  (164,641)
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  • 1
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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
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  • 2
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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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  • 3
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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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  • 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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    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
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  • 6
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    How can I Live Sustainably? (2023)
    In:  RIFS Blog, 09.01.2023
    Details
    Publication Date: 2024-04-27
    Language: English
    Type: info:eu-repo/semantics/other
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  • 7
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    Brazil: An Environmental Power (2023)
    In:  RIFS Blog, 26.01.2023
    Details
    Publication Date: 2024-04-27
    Description: What to expect of the incoming Lula government’s environmental policy
    Language: English
    Type: info:eu-repo/semantics/other
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  • 8
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    RIFS Focal Topic: The Year in Review (2023)
    In:  RIFS Blog, 24.01.2023
    Details
    Publication Date: 2024-04-27
    Description: As we start off the new year and set our sights on new goals and projects, we also want to take stock of the many activities and achievements of the RIFS “Justice in Sustainability” focal topic team during 2022.
    Language: English
    Type: info:eu-repo/semantics/other
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  • 9
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    The Turn of the Year in Climate Policy: Insights and Outlook (2023)
    In:  RIFS Blog, 16.01.2023
    Details
    Publication Date: 2024-04-27
    Description: The term “triple crisis” loomed large in 2022: The interlinking crises of the pandemic, the climate and energy crises, and the war in Ukraine took many people to their existential limits this past year. Geopolitically, we now face a fragmented world in which power relations are increasingly contested. This was evident at the Sharm el-Sheikh Climate Change Conference (COP 27) in November, where familiar lines of conflict shaped negotiations. Tensions between countries of the Global North and South, for example: Who bears how much responsibility for the climate change that is already occurring (not least of all financial responsibility!) and who (still) counts as a developing country and should be granted support? Debate also continues to rage around the exploitation and use of fossil fuels, which many countries wish to continue for as long as possible – even under the Paris Agreement.
    Language: English
    Type: info:eu-repo/semantics/other
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  • 10
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    Hidden Ghosts: A Story of Climate Devastation (2023)
    In:  RIFS Blog, 23.01.2023
    Details
    Publication Date: 2024-04-27
    Description: Let's close our eyes for a moment and travel back in time to childhood. Try to remember a time when you felt scared or devastated, the feeling of losing someone you truly love. And now, let’s imagine that these moments begin to multiply and persist. They stay in our minds for days and weeks.
    Language: English
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  • 11
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    Infrastructuring Environmental (In)Justice: On the Political Geographies of Energy Technologies in Planetary Crises (2023)
    In:  RIFS Blog, 06.03.2023
    Details
    Publication Date: 2024-04-27
    Language: English
    Type: info:eu-repo/semantics/other
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  • 12
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    A Treaty for the High Seas (2023)
    In:  RIFS Blog, 11.01.2023
    Details
    Publication Date: 2024-04-27
    Description: For years now the international community has been negotiating an agreement that will cover more than half of the Earth's surface and establish rules for the conservation and sustainable use of marine biodiversity. Will they succeed?
    Language: English
    Type: info:eu-repo/semantics/other
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  • 13
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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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    DATA PANGAEA
  • 14
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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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  • 15
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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
  • 16
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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
  • 17
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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
  • 18
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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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    DATA PANGAEA
  • 19
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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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 20
    facet.materialart.
    Unknown
    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 21
    facet.materialart.
    Unknown
    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 22
    facet.materialart.
    Unknown
    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
  • 23
    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
  • 24
    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
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  • 25
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    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
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  • 26
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    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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  • 27
    facet.materialart.
    Unknown
    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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  • 28
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    Unknown
    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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  • 29
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    Unknown
    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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  • 30
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    Unknown
    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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  • 31
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    Unknown
    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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  • 32
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    Unknown
    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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  • 33
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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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  • 34
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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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  • 35
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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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  • 36
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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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  • 37
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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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  • 38
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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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  • 39
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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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  • 40
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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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  • 41
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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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  • 42
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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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  • 43
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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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  • 44
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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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  • 45
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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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
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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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    DATA PANGAEA
  • 47
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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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  • 48
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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
    Location Call Number Expected Availability
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  • 49
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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
  • 50
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    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
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