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  • 2015-2019  (742,578)
  • 2015  (742,578)
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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
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    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: 2024-07-06
    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
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  • 5
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    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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  • 6
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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  • 7
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    Unknown
    Staats-und Universitätsbibliothek Bremen
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/doctoralThesis
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  • 8
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    Unknown
    PANGAEA
    In:  Supplement to: Müller, Stefanie; Tarasov, Pavel E; Andreev, Andrei A; Tütken, Thomas; Gartz, Steffi; Diekmann, Bernhard (2010): Late Quaternary vegetation and environments in the Verkhoyansk Mountains region (NE Asia) reconstructed from a 50-kyr fossil pollen record from Lake Billyakh. Quaternary Science Reviews, 29(17-18), 2071-2086, https://doi.org/10.1016/j.quascirev.2010.04.024
    Publication Date: 2024-07-05
    Description: Here we present a detailed radiocarbon-dated 936 cm long pollen record from Lake Billyakh (65°17' N, 126°47' E; 340 m a.s.l.) situated in the western part of the Verkhoyansk Mountains, about 140 km south of the Arctic Circle. A set of 53 surface pollen samples representing tundra, cold deciduous forest and taiga was collected in northern and central Yakutia communities to verify the accuracy of the quantitative biome reconstruction method and to obtain a more precise attribution of the identified pollen taxa to the main regional biomes. The adjusted method is then applied to the pollen record from Lake Billyakh to gain a reconstruction of vegetation and environments since about 50.7 kyr BP. The results of the pollen analysis and pollen-based biome reconstruction suggest that herbaceous tundra and steppe communities dominated the area from 50.7 to 13.5 kyr BP. Relatively low pollen concentrations and high percentages of herbaceous pollen taxa (mainly Cyperaceae, Poaceae and Artemisia) likely indicate a reduced vegetation cover and/or lower pollen production. On the other hand, extremely low percentages of drought-tolerant taxa, such as Chenopodiaceae and Ephedra, and the constant presence of various mesophyllous herbaceous (Thalictrum, Rosaceae, Asteraceae) and shrubby taxa (Betula sect. Nanae/Fruticosae, Duschekia fruticosa, Salix) in the pollen assemblages prevent an interpretation of the last glacial environments around Lake Billyakh as extremely arid. The lowest pollen percentages of woody taxa and the highest values of Artemisia pollen attest that the 31-15 kyr BP period as the driest and coldest interval of the entire record. A relative high content of taxa representing shrub tundra communities and the presence of larch pollen recorded prior to 31 kyr and after 13.5 kyr BP likely indicate interstadial climate amelioration associated with the middle and latest parts of the last glacial. An increase in pollen percentages of herbaceous taxa around 12 kyr BP suggests broader distribution of drier communities in response to the colder and drier than present climate of the Younger Dryas (YD). The onset of the Holocene is marked in the pollen record by the highest values of shrub taxa, mainly B. sect. Nanae/Fruticosae. Pollen percentages of arboreal taxa increase gradually and reach maximum values after 7 kyr BP. The latter maximum mainly reflects the spread of Pinus sylvestris in central Yakutia as a response to the mid-Holocene climatic optimum. The quasi-continuous presence of larch, shrubby birch and alder pollen throughout the whole record is the most striking feature of the pollen record. Noticeable variations in larch pollen percentages point to multiple short-term warming episodes, which might be synchronous with the Dansgaard-Oeschger cycles in the North Atlantic records. The Lake Billyakh pollen record suggests that larch possibly survived during the last 50 kyr BP in locally favourable environments in the study region.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
    Publication Date: 2024-07-05
    Keywords: AGE; Alnus fruticosa; Alnus hirsuta; Anemone-type; Artemisia; Assulina; Asteraceae; AWI_PerDyn; AWI Arctic Land Expedition; Betula divaricata; Betula ermanii; Betula exilis; Betula platyphylla; Betula sp.; Botrychium; Botryococcus; Brassicaceae; Bryales, leaves; Caryophyllaceae; cf. Tofieldia; Chamerion; Charcoal; Cirsium; Cladocera; Claws; Counting, palynology; Cyanophyceae; Cyperaceae; Depth, bottom/max; Depth, composite; Depth, top/min; Dryas; Equisetum; Ericales; Filipendula; Geraniaceae; Heracleum; Huperzia selago; Iris setosa; Juniperus; Kamchatka2007; KOL; Larix cajanderi; Liliaceae; Lonicera caerulea; Lycopodium annotinum subsp. pungens; Lycopodium clavatum; Mandibles; Matteuccia struthiopteris; Myrica tomentosa; Oxalis acetosella; Pediastrum; Permafrost Research (Periglacial Dynamics) @ AWI; PG1857-5; Picea ajanensis; Pinus pumila; Piston corer (Kiel type); Plantago; Poaceae; Pollen, non-planktic; Pollen, total; Pollen indeterminata; Polygonaceae; Polypodiaceae; Pteridium aquilinum; Ranunculaceae; Rosaceae; Rubiaceae; RU-Land_2007_Kamchatka; Rumex; Salix; Sanguisorba officinalis; see reference(s); Selaginella rupestris; Shrubs; Sparganium; Sphagnum; Sphagnum, leaves; Thalictrum; Thelypteris palustris-type; Trees; Two-Yurts Lake; Typha; Upland herbs; Urtica
    Type: Dataset
    Format: text/tab-separated-values, 1125 data points
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  • 10
    Publication Date: 2024-07-05
    Keywords: AGE; Alnus fruticosa; Alnus hirsuta; Anemone-type; Artemisia; Assulina; Asteraceae; AWI_PerDyn; AWI Arctic Land Expedition; Betula divaricata; Betula ermanii; Betula exilis; Betula platyphylla; Betula sp.; Botrychium; Botryococcus; Brassicaceae; Bryales, leaves; Caryophyllaceae; cf. Tofieldia; Chamerion; Charcoal; Cirsium; Cladocera; Claws; Counting, palynology; Cyanophyceae; Cyperaceae; Depth, bottom/max; Depth, composite; Depth, top/min; Dryas; Equisetum; Ericales; Filipendula; Geraniaceae; Heracleum; Huperzia selago; Iris setosa; Juniperus; Kamchatka2007; KOL; Larix cajanderi; Liliaceae; Lonicera caerulea; Lycopodium annotinum subsp. pungens; Lycopodium clavatum; Mandibles; Matteuccia struthiopteris; Myrica tomentosa; Oxalis acetosella; Pediastrum; Permafrost Research (Periglacial Dynamics) @ AWI; PG1856-3; Picea ajanensis; Pinus pumila; Piston corer (Kiel type); Plantago; Poaceae; Pollen, non-planktic; Pollen, total; Pollen indeterminata; Polygonaceae; Polypodiaceae; Pteridium aquilinum; Ranunculaceae; Rosaceae; Rubiaceae; RU-Land_2007_Kamchatka; Rumex; Salix; Sanguisorba officinalis; see reference(s); Selaginella rupestris; Shrubs; Sparganium; Sphagnum; Sphagnum, leaves; Thalictrum; Thelypteris palustris-type; Trees; Two-Yurts Lake; Typha; Upland herbs; Urtica
    Type: Dataset
    Format: text/tab-separated-values, 1725 data points
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