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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Yang, Yan; Hansson, L; Gattuso, Jean-Pierre (2016): Data compilation on the biological response to ocean acidification: an update. Earth System Science Data, 8(1), 79-87, https://doi.org/10.5194/essd-8-79-2016
    Publication Date: 2024-07-08
    Description: The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis (doi:10.1594/PANGAEA.149999). By January 2015, a total of 581 data sets (over 4 000 000 data points) from 539 papers had been archived. Here we present the developments of this data compilation five years since its first description by Nisumaa et al. (2010). Most of study sites from which data archived are still in the Northern Hemisphere and the number of archived data from studies from the Southern Hemisphere and polar oceans are still relatively low. Data from 60 studies that investigated the response of a mix of organisms or natural communities were all added after 2010, indicating a welcomed shift from the study of individual organisms to communities and ecosystems. The initial imbalance of considerably more data archived on calcification and primary production than on other processes has improved. There is also a clear tendency towards more data archived from multifactorial studies after 2010. For easier and more effective access to ocean acidification data, the ocean acidification community is strongly encouraged to contribute to the data archiving effort, and help develop standard vocabularies describing the variables and define best practices for archiving ocean acidification data.
    Keywords: Biological process; Country; Experimental treatment; Geographic name/locality; Number; Persistent Identifier; Taxon/taxa; Title
    Type: Dataset
    Format: text/tab-separated-values, 4644 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-07-08
    Type: Thesis , NonPeerReviewed
    Format: text
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  • 3
    Publication Date: 2024-07-08
    Description: Key message: A decolonial approach is needed to fulfil IASC’s commitment to recognizing that Traditional Knowledge, Indigenous Knowledge and academic scientific knowledge are co-equal and complementary knowledge systems that all can and should inform its work (website ICARP IV, retrieved October 2023). This document summarizes key recommendations for actions regarding five themes: 1. Indigenous Peoples’ right to self-determination as a prerequisite for high-quality Arctic research 2. Ethics, methods and methodology as key for decolonial research 3. Indigenous-led research in design and practice 4. Indigenous Peoples’ co-equal participation in Arctic research funding structures and decision-making for securing decolonial Arctic research in practice 5. Funding for Co-Creative and Indigenous-Led Arctic Research
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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  • 4
    Publication Date: 2024-07-07
    Description: Fatty acid (FA) composition has increasingly been used to estimate the dietary preference of marine organisms. Specific fatty acids and fatty acid ratios serve as trophic markers (FATM) and have the potential to provide insights on the long-term dietary preference of organisms. FATM have been applied for this purpose on various zooplankton, fish and up to whales. We aim to build up a database of new and published data on fatty acid content of mesopelagic fish and their predators from the central and Northeast Atlantic, and the Mediterranean Sea, to use in FATM food web studies, investigating the importance of mesopelagic organisms as predators and prey in the marine ecosystem. Here we compiled FA content (i.e., the proportion of each FA measured in sampled tissues or in the whole body of organisms in relation to total FAs analysed) of 36 fish species or genera, 15 seabirds, five marine mammals, two cephalopods, one turtle, one jelly fish, and one shark. For each record, we included all FAs with values above 0.1% of total FAs and report the percentage values as provided in the original data source. Each data record is associated with information on the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: (9Z)-heptadec-9-enoic acid; (9Z)-heptadec-9-enoic acid, standard deviation; 12,15 Octadecadienoic acid of total fatty acids; 3,6,9,12 Hexadecatetraenoic acid of total fatty acids; 4,7,10,13,16-Docosapentaenoic acid; 6,9,12,15-Hexadecatetraenoic acid of total fatty acids; 6,9,12-Hexadecatrienoic acid of total fatty acids; 9,12-Hexadecadienoic acid of total fatty acids; 9-Tetradecenoic acid of total fatty acids; 9-Tetradecenoic acid of total fatty acids, standard deviation; Adriatic_Sea_comp; all-cis-11,14,17-Eicosatrienoic acid of total fatty acids; all-cis-11,14,17-Eicosatrienoic acid of total fatty acids, standard deviation; all-cis-11,14-Eicosadienoic acid of total fatty acids; all-cis-11,14-Eicosadienoic acid of total fatty acids, standard deviation; all-cis-11,14-Octadecadienoic acid of total fatty acids; all-cis-13,16,19-Docosatrienoic acid of total fatty acids; all-cis-3,6,9,12,15-Octadecapentaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids, standard deviation; all-cis-4,7,10,13,16-Docosapentaenoic acid, standard deviation; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids, standard deviation; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15,18-Heneicosapentaenoic acid of total fatty acids; all-cis-6,9,12,15,18-Heneicosapentaenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15-Hexadecatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids, standard deviation; all-cis-7,10,13-Hexadecatrienoic acid of total fatty acids; all-cis-7,10-Hexadecadienoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids, standard deviation; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids, standard deviation; all-cis-9,12,15-Hexadecadienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids, standard deviation; all-cis-9,12-Hexadecadienoic acid of total fatty acids, standard deviation; all-cis-9,12-Hexadecatrienoic acid of total fatty acids, standard deviation; all-cis-9,12-Octadecadienoic acid of total fatty acids; all-cis-9,12-Octadecadienoic acid of total fatty acids, standard deviation; Azores_comp; Balearic_Sea_comp; Barbate_comp; Barents_Sea_comp; Canary_Islands_comp; Cape_Verde_comp; Catalonian_Sea_comp; Central_Northeastern_Atlantic_comp; Cephalopods; cis-10-Heptadecenoic acid of total fatty acids; cis-10-Heptadecenoic acid of total fatty acids, standard deviation; cis-11-Docosenoic acid of total fatty acids; cis-11-Docosenoic acid of total fatty acids, standard deviation; cis-11-Hexadecenoic acid of total fatty acids, standard deviation; cis-11-Hexadecenoic acid of total fatty acids (IUPAC: (11Z)-hexadec-11-enoic acid); cis-11-Icosenoic acid of total fatty acids; cis-11-Icosenoic acid of total fatty acids, standard deviation; cis-11-Octadecenoic acid of total fatty acids, standard deviation; cis-11-Octadecenoic acid of total fatty acids (IUPAC: Octadec-11-enoic acid); cis-13-Docosenoic acid of total fatty acids; cis-13-Docosenoic acid of total fatty acids, standard deviation; cis-13-Icosenoic acid of total fatty acids; cis-13-Icosenoic acid of total fatty acids, standard deviation; cis-13-Octadecenoic acid of total fatty acids; cis-13-Octadecenoic acid of total fatty acids, standard deviation; cis-15-Docosenoic acid of total fatty acids; cis-15-Docosenoic acid of total fatty acids, standard deviation; cis-15-Tetracosenoic acid of total fatty acids; cis-15-Tetracosenoic acid of total fatty acids, standard deviation; cis-7-Hexadecenoic acid of total fatty acids; cis-7-Hexadecenoic acid of total fatty acids, standard deviation; cis-9-Hexadecenoic acid of total fatty acids, standard deviation; cis-9-Hexadecenoic acid of total fatty acids (IUPAC: (9Z)-hexadec-9-enoic acid); cis-9-Icosanoic acid of total fatty acids; cis-9-Icosanoic acid of total fatty acids, standard deviation; cis-9-Octadecenoic acid of total fatty acids (IUPAC: Octadec-9-enoic acid); Class; Comment; Decanoic acid of total fatty acids; DEPTH, water; Docosanoic acid, standard deviation; Docosanoic acid of total fatty acids; Dodecanoic acid of total fatty acids; Dodecanoic acid of total fatty acids, standard deviation; dolphins; Ebro_Delta_comp; elasmobranchs; Event label; Family; fatty acids; Finnmark_comp; Gear; Heptadecanoic acid, standard deviation; Heptadecanoic acid of total fatty acids; Hexadecadienoic acid of total fatty acids; Hexadecanoic acid, standard deviation; Hexadecanoic acid of total fatty acids; Hexadecatetraenoic acid of total fatty acids; Hexadecatetraenoic acid of total fatty acids, standard deviation; Hexadecatrienoic acid of total fatty acids; Hexadecatrienoic acid of total fatty acids, standard deviation; Hexadecenoic acid of total fatty acids; Icosanoic acid, standard deviation; Icosanoic acid of total fatty acids; Institution; Investigator; Irminger_Sea_comp; Isle_of_May_comp; Jellyfish; LATITUDE; Lipids, per total wet mass; Location; Lofoten_Vesteralen_comp; LONGITUDE; Madeira_comp; marine mammals; Mauritania_comp; mesopelagic fish; mesopelagic food web; Mid_North_Atlantic_comp; Month; North_Sea_comp; Norwegian_Sea_North_comp; Number of individuals; Ocean and sea region; Octadec-7-enoic acid of total fatty acids; Octadec-7-enoic acid of total fatty acids, standard deviation; Octadec-9-enoic acid, standard deviation; Octadecanoic acid, standard deviation; Octadecanoic acid of total fatty acids; Octadecatetraenoic acid 18:4(n-4) of total fatty acids; Octadecenoic acid of total fatty acids; Order; Organisms; Pentadecanoic acid, standard deviation; Pentadecanoic acid of total fatty acids; Persistent Identifier; Phylum; Raso_Islet_Cape_Verde_comp; Record number; Reference/source; Replicates; Reykjanes_Ridge_comp; Seabirds; Size; Spanish_coast_comp; Spitsbergen_Bear_Island_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Svalbard_comp; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tetracosanoic acid, standard deviation; Tetracosanoic acid of total fatty acids; Tetradecanoic acid, standard deviation; Tetradecanoic acid of total fatty acids; trophic markers; Tropic_Seamount_comp; Wet mass; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 16550 data points
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  • 5
    Publication Date: 2024-07-06
    Description: The Ocean Sampling Day (OSD) is a simultaneous sampling campaign of the world's oceans which took place (for the first time) on the summer solstice (June 21st) in the year 2014. These cumulative samples, related in time, space and environmental parameters, provide insights into fundamental rules describing microbial diversity and function and contribute to the blue economy through the identification of novel, ocean-derived biotechnologies. We see OSD data as a reference data set for generations of experiments to follow in the coming decade. The present data set includes a description of each sample collected during the Ocean Sampling Day 2014 and provides contextual environmental data measured concurrently with the collection of water samples for genomic analyses.
    Keywords: [BUCKET-10]; [BUCKET-20]; [BUCKET-40]; [BUCKET-5]; [HVP-PUMP]; Accession number, genetics; Ammonium; Bacteria, production as carbon; Biogeographical province; Biome; BOT; BOT_10L; BOT_20L; BOT_2L; BOT_4L; BOT_5L; Bottle, Kemmerer; Bottle, Nalgene 10-L; Bottle, Nalgene 4-L; Bottle, Nalgene 5-L; Bottle, Nansen; Bottle, Niskin; Bottle, Niskin 1.6-L; Bottle, Niskin 10-L; Bottle, Niskin 12-L; Bottle, Niskin 20-L; Bottle, Niskin 2-L; Bottle, Niskin 30-L; Bottle, Niskin 3-L; Bottle, Niskin 5-L; Bottle, Niskin 8-L; Bottle, Ruttner; Bottle, unknown; Bottle, unknown 10-L; Bottle, unknown 20-L; Bottle, unknown 2-L; Bottle, unknown 4-L; Bottle, unknown 5-L; Bottle, Van Dorn; Bottle, Van Dorn 2.2-L; Bucket, plastic; Bucket, plastic 10-L; Bucket, plastic 20-L; Bucket, plastic 40-L; Bucket, plastic 5-L; Campaign of event; Carbon, organic, dissolved; Carbon, organic, particulate; Chlorophyll a; Comment of event; Conductivity; Country; CTD/Rosette; CTD-RO; Date/Time of event; Date/Time of event 2; DEPTH, water; Environmental feature; Event label; Fluorometer; Geographic name/locality; High Volume Peristaltic Pump; HORIZON; Horizontal water sampler; IHO General Sea Areas (1953) registered at www.marineregions.org; KEM; Large Marine ecosystem; Latitude of event; Latitude of event 2; LIMNOS water sampler; LIMNOSWS; Local Time; Longhurst (2007) registered at marineregions.org; Longitude of event; Longitude of event 2; Material; Method/Device of event; MicroB3; MicroB3 - Microbial Biodiversity, Bioinformatics and Biotechnology; NAS; NB_10L; NB_4L; NB_5L; NIS; NIS_1.6L; NIS_10L; NIS_12L; NIS_20L; NIS_2L; NIS_30L; NIS_3L; NIS_5L; NIS_8L; Nitrate; Nitrite; Nitrogen, organic, dissolved; Nitrogen, organic, particulate; OSD1_20140621T1110Z; OSD10_20140621T2050Z; OSD100_20140622T0800Z; OSD101_20140621T1105Z; OSD102_20140621T1200Z; OSD103_20140621T1015Z; OSD105_20140621T1839Z; OSD106_20140620T1100Z; OSD106_20140620T1130Z; OSD107_20140620T0950Z; OSD108_20140620T1140Z; OSD109_20140620T1100Z; OSD11_20140617T1503Z; OSD110_20140621T1030Z; OSD111_20140621T0830Z; OSD113_20140621T1125Z; OSD114_20140621T1005Z; OSD115_20140621T1430Z; OSD116_20140621T1330Z; OSD117_20140621T1610Z; OSD118_20140621T1214Z; OSD119_20140621T1800Z; OSD120_20140621T1813Z; OSD121_20140621T1759Z; OSD122_20140622T0745Z; OSD123_20140622T0900Z; OSD124_20140621T0325Z; OSD125_20140621T1300Z; OSD126_20140621T1215Z; OSD127_20140621T1143Z; OSD128_20140621T1705Z; OSD129_20140621T1638Z; OSD13_20140621T0630Z; OSD130_20140621T1141Z; OSD131_20140621T0824Z; OSD132_20140622T0845Z; OSD133_20140621T0724Z; OSD135_20140621T0303Z; OSD136_20140621T1056Z; OSD137_20140621T1401Z; OSD14_20140623T0805Z; OSD141_20140620T0845Z; OSD142_20140621T1500Z; OSD143_20140621T1845Z; OSD143_20140621T1900Z; OSD144_20140624T0608Z; OSD145_20140621T1045Z; OSD146_20140621T0542Z; OSD147_20140621T0533Z; OSD148_20140621T0845Z; OSD149_20140621T1440Z; OSD15_20140621T0730Z; OSD150_20140621T1500Z; OSD151_20140621T1430Z; OSD152_20140620T1554Z; OSD152_20140620T1610Z; OSD152_20140620T1630Z; OSD152_20140620T1650Z; OSD153_20140621T1015Z; OSD154_20140620T1120Z; OSD155_20140621T0700Z; OSD156_20140621T1000Z; OSD157_20140620T0900Z; OSD158_20140621T1120Z; OSD159_20140621T1000Z; OSD162_20140623T1100Z; OSD163_20140620T1200Z; OSD164_20140613T1000Z; OSD165_20140623T0900Z; OSD166_20140621T0948Z; OSD167_20140621T1415Z; OSD168_20140621T0915Z; OSD169_20140621T1149Z; OSD17_20140620T0700Z; OSD170_20140625T0504Z; OSD171_20140625T0423Z; OSD172_20140625T0245Z; OSD173_20140625T0139Z; OSD174_20140625T0047Z; OSD175_20140624T1313Z; OSD176_20140624T1127Z; OSD177_20140624T1035Z; OSD178_20140624T2320Z; OSD18_20140620T0800Z; OSD182_20140624T1316Z; OSD183_20140624T2158Z; OSD184_20140624T1806Z; OSD185_20140624T1434Z; OSD186_20140621T1704Z; OSD188_20140624T2148Z; OSD189_20140624T1605Z; OSD19_20140623T0730Z; OSD190_20140713T0722Z; OSD191_20140702T1433Z; OSD2_20140620T1126Z; OSD20_20140620T1030Z; OSD21_20140621T1055Z; OSD22_20140623T0800Z; OSD24_20140621T1230Z; OSD25_20140621T0900Z; OSD26_20140621T1245Z; OSD28_20140621T0415Z; OSD29_20140621T1500Z; OSD3_20140620T0540Z; OSD30_20140620T0815Z; OSD31_20140612T1120Z; OSD32_20140623T1520Z; OSD33_20140619T1535Z; OSD34_20140621T0930Z; OSD35_20140621T1701Z; OSD36_20140621T1730Z; OSD37_20140619T1311Z; OSD38_20140620T1655Z; OSD39_20140619T0500Z; OSD4_20140620T0900Z; OSD41_20140621T1840Z; OSD42_20140621T1000Z; OSD43_20140621T1849Z; OSD45_20140622T2130Z; OSD46_20140621T2000Z; OSD47_20140621T1256Z; OSD48_20140621T0950Z; OSD49_20140621T0930Z; OSD5_20140619T0515Z; OSD5_20140619T1100Z; OSD50_20140620T0709Z; OSD51_20140621T1556Z; OSD52_20140621T1007Z; OSD53_20140621T0843Z; OSD54_20140621T1545Z; OSD55_20140621T1630Z; OSD56_20140624T0720Z; OSD57_20140624T0738Z; OSD58_20140621T1530Z; OSD6_20140621T0930Z; OSD60_20140619T1545Z; OSD61_20140621T2108Z; OSD62_20140621T1000Z; OSD63_20140620T1130Z; OSD64_20140621T0930Z; OSD65_20140620T2230Z; OSD69_20140621T1508Z; OSD7_20140621T2000Z; OSD70_20140621T1111Z; OSD71_20140621T2335Z; OSD72_20140621T0912Z; OSD73_20140621T1115Z; OSD74_20140621T1115Z; OSD76_20140620T0915Z; OSD77_20140620T1100Z; OSD78_20140621T0900Z; OSD80_20140621T1730Z; OSD80_20140621T1830Z; OSD80_20140621T1930Z; OSD81_20140621T1058Z; OSD87_20140621T1107Z; OSD9_20140618T0418Z; OSD90_20140621T0800Z; OSD91_20140621T1100Z; OSD92_20140621T1100Z; OSD93_20140621T1100Z; OSD94_20140621T0930Z; OSD95_20140621T0825Z; OSD96_20140621T1250Z; OSD97_20140621T1235Z; OSD98_20140621T1240Z; OSD99_20140621T1024Z; OSD-Jun-2014; Oxygen; pH; Phosphate; Plankton abundance; Primary production of carbon; published at the European Nucleotides Archive; PUMP; Radiation, photosynthetically active; registered at the European Nucleotides Archive (ENA); RWS; Salinity; Sample code/label; Sample ID; Sample method; Silicate; Site; Temperature, water; terms registered at EnvO, the Environmental Ontology; Time zone; Turbidity (Formazin Turbidity Unit); Uniform resource locator/link to reference; URI of event; VDB; VDB_2.2L; Water pump; WB
    Type: Dataset
    Format: text/tab-separated-values, 7078 data points
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Egger, Matthias; Rasigraf, Olivia; Sapart, Célia-Julia; Jilbert, Tom; Jetten, Mike S M; Röckmann, Thomas; van der Veen, Carina; Bânda, Narcisa; Kartal, Boran; Ettwig, Katharina; Slomp, Caroline P (2015): Iron-Mediated Anaerobic Oxidation of Methane in Brackish Coastal Sediments. Environmental Science & Technology, 49(1), 277-283, https://doi.org/10.1021/es503663z
    Publication Date: 2024-07-06
    Description: Methane is a powerful greenhouse gas and its biological conversion in marine sediments, largely controlled by anaerobic oxidation of methane (AOM), is a crucial part of the global carbon cycle. However, little is known about the role of iron oxides as an oxidant for AOM. Here we provide the first field evidence for iron-dependent AOM in brackish coastal surface sediments and show that methane produced in Bothnian Sea sediments is oxidized in distinct zones of iron- and sulfate-dependent AOM. At our study site, anthropogenic eutrophication over recent decades has led to an upward migration of the sulfate/methane transition zone in the sediment. Abundant iron oxides and high dissolved ferrous iron indicate iron reduction in the methanogenic sediments below the newly established sulfate/methane transition. Laboratory incubation studies of these sediments strongly suggest that the in situ microbial community is capable of linking methane oxidation to iron oxide reduction. Eutrophication of coastal environments may therefore create geochemical conditions favorable for iron-mediated AOM and thus increase the relevance of iron-dependent methane oxidation in the future. Besides its role in mitigating methane emissions, iron-dependent AOM strongly impacts sedimentary iron cycling and related biogeochemical processes through the reduction of large quantities of iron oxides.
    Keywords: GEMAX; GNC_X; Gulf of Bothnia, Baltic sea; US5B
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 7
    Publication Date: 2024-07-06
    Keywords: DEPTH, sediment/rock; GEMAX; GNC_X; Gulf of Bothnia, Baltic sea; Hydrogen sulfide; Iron 2+; Methane; Sulfate; US5B; δ13C, methane; δ Deuterium, methane
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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  • 8
    Publication Date: 2024-07-06
    Keywords: Acid volatile sulfides; Chromium reducible sulfur; DEPTH, sediment/rock; GEMAX; GNC_X; Gulf of Bothnia, Baltic sea; Iron; Iron, total; Iron/Aluminium ratio; Porosity; Sulfur, total; US5B
    Type: Dataset
    Format: text/tab-separated-values, 309 data points
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  • 9
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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  • 10
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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