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  • Wiley  (286,226)
  • PANGAEA  (235,710)
  • Oxford University Press  (127,862)
  • Krefeld : Geologischer Dienst Nordhein-Westfalen
  • 2010-2014  (289,061)
  • 2005-2009  (338,870)
  • 1960-1964  (21,868)
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Language
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Year
  • 101
    Publication Date: 2023-03-09
    Keywords: DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; Humidity, relative; IMPETUS; Monitoring station; MONS; Oasis of Zagora, Morocco; PTI; Temperature, air; Temperature/Humidity data logger; Tissergate
    Type: Dataset
    Format: text/tab-separated-values, 20936 data points
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  • 102
    Publication Date: 2023-03-09
    Keywords: DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; Humidity, relative; IMPETUS; Monitoring station; MONS; Oasis of Zagora, Morocco; PTI; Temperature, air; Temperature/Humidity data logger; Tissergate
    Type: Dataset
    Format: text/tab-separated-values, 6158 data points
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  • 103
    Publication Date: 2023-03-09
    Keywords: DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; Humidity, relative; IMPETUS; Monitoring station; MONS; Oasis of Zagora, Morocco; PTI; Temperature, air; Temperature/Humidity data logger; Tissergate
    Type: Dataset
    Format: text/tab-separated-values, 24334 data points
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  • 104
    Publication Date: 2023-03-09
    Keywords: DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; Humidity, relative; IMPETUS; Monitoring station; MONS; Oasis of Zagora, Morocco; PTI; Temperature, air; Temperature/Humidity data logger; Tissergate
    Type: Dataset
    Format: text/tab-separated-values, 14456 data points
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  • 105
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; Humidity, relative; IMPETUS; Monitoring station; MONS; Oasis of Zagora, Morocco; Temperature, air; Temperature/Humidity data logger; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 10386 data points
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  • 106
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Oasis of Zagora, Morocco; Precipitation; Radiation, photosynthetically active; Radiation, photosynthetically active, maximum; Temperature, air; Time of day; Wind speed; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 578156 data points
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  • 107
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Oasis of Zagora, Morocco; Precipitation; Radiation, photosynthetically active; Radiation, photosynthetically active, maximum; Temperature, air; Time of day; Wind speed; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 564637 data points
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  • 108
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Oasis of Zagora, Morocco; Precipitation; Radiation, photosynthetically active; Radiation, photosynthetically active, maximum; Temperature, air; Time of day; Wind speed; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 184031 data points
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  • 109
    Publication Date: 2023-03-08
    Keywords: DEPTH, sediment/rock; ECO2; ECO2-6; ECO2-6-54; ECO2-6-60; Elevation of event; Event label; Incorporation of radioactive label (Smith and Azam, 1992); Latitude of event; Longitude of event; Panarea; Primary production of carbon per area per hour; Prokaryotic carbon production; PUC; Push corer; push corer/Corpi morti Cold; push corer/Corpi morti Hot; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 110
    Publication Date: 2023-03-08
    Keywords: DEPTH, sediment/rock; ECO2; ECO2-7; ECO2-7-24; ECO2-7-30; ECO2-7-35; Elevation of event; Event label; Incorporation of radioactive label (Smith and Azam, 1992); Latitude of event; Longitude of event; Panarea; Primary production of carbon per area per hour; Prokaryotic carbon production; PUC; Push corer; push corer/B1; push corer/B2; push corer/B3; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 111
    Publication Date: 2023-03-08
    Keywords: Biopolymeric carbon, carbon equivalents; Carbohydrates, colloidal, carbon equivalents; Carbohydrates, EDTA-extractable, carbon equivalents; Chlorophyll a per unit sediment mass; DEPTH, sediment/rock; ECO2; ECO2-7; ECO2-7-26; ECO2-7-32; ECO2-7-37; ECO2-7-45; ECO2-7-48; Elevation of event; Event label; Latitude of event; Lipids, carbon equivalents; Longitude of event; Panarea; Phaeopigments per unit sediment mass; Proteins, carbon equivalents; PUC; Push corer; push corer/B1; push corer/B2; push corer/B3; push corer/Corpi morti Cold; push corer/Corpi morti Hot; Spectrophotometry; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 112
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    PANGAEA
    In:  Supplement to: Hämmerle, Martin; Höfle, Bernhard; Fuchs, Johannes; Schröder-Ritzrau, Andrea; Vollweiler, Nicole; Frank, Norbert (2014): Comparison of kinect and terrestrial LiDAR capturing natural karst cave 3-D objects. IEEE Geoscience and Remote Sensing Letters, 11(11), 1896-1900, https://doi.org/10.1109/LGRS.2014.2313599
    Publication Date: 2023-03-06
    Description: Modeling natural phenomena from 3D information enhances our understanding of the environment. Dense 3D point clouds are increasingly used as highly detailed input datasets. In addition to the capturing techniques of point clouds with LiDAR, low-cost sensors have been released in the last few years providing access to new research fields and facilitating 3D data acquisition for a broader range of applications. This letter presents an analysis of different speleothem features using 3D point clouds acquired with the gaming device Microsoft® Kinect. We compare the Kinect sensor with terrestrial LiDAR reference measurements using the KinFu pipeline for capturing complete 3D objects (〈 4m**3). The results demonstrate the suitability of the Kinect to capture flowstone walls and to derive morphometric parameters of cave features. Although the chosen capturing strategy (KinFu) reveals a high correlation (R2=0.92) of stalagmite morphometry along the vertical object axis, a systematic overestimation (22% for radii and 44% for volume) is found. The comparison of flowstone wall datasets predominantly shows low differences (mean of 1 mm with 7 mm standard deviation) of the order of the Kinect depth precision. For both objects the major differences occur at strongly varying and curved surface structures (e.g. with fine concave parts).
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 113
    Publication Date: 2023-03-03
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Flow cytometry; L Atalante; Latitude of event; Longitude of event; OLIPAC; OLIPAC_001; OLIPAC_003; OLIPAC_009; OLIPAC_015; OLIPAC_021; OLIPAC_023; OLIPAC_029; OLIPAC_034; OLIPAC_038; OLIPAC_044; OLIPAC_048; OLIPAC_055; OLIPAC_060; OLIPAC_101; OLIPAC_104; OLIPAC_127; Prokaryotes
    Type: Dataset
    Format: text/tab-separated-values, 195 data points
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  • 114
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    PANGAEA
    In:  Supplement to: Bale, Nicole Jane; Villanueva, Laura; Fan, Haoxin; Stal, Lucas J; Hopmans, Ellen C; Schouten, Stefan; Sinninghe Damsté, Jaap S (2014): Occurrence and activity of anammox bacteria in surface sediments of the southern North Sea. FEMS Microbiology Ecology, 89(1), 99-110, https://doi.org/10.1111/1574-6941.12338
    Publication Date: 2023-03-03
    Description: We investigated the occurrence and activity of anaerobic ammonia oxidation (anammox) bacteria in sandy and muddy sand sediments of the southern North Sea. The presence of anammox bacteria was established through the detection of specific phosphocholine-monoether ladderane lipids, 16S rRNA gene, and hydrazine synthase (hzsA) genes. Anammox activity was measured in intact sediment cores (in situ rate) and in sediment slurries (potential rate) as the rate of N2 evolution from 15N-labeled substrates and compared to the transcriptional activity of genes of anammox bacteria. The contribution of anammox to N2 production ranged between 0% and 29%. The potential rate of anammox agreed well with the abundance of anammox bacteria 16S rRNA and hzsA gene copies and the transcriptional activity of the anammox bacteria 16S rRNA gene. We found a higher abundance and activity of anammox bacteria in sediments with higher organic carbon content and also higher activity in summer than in winter. The abundance of anammox bacteria and their potential anammox rates were similar to those reported for other marine coastal sediments, suggesting that potentially they are important contributors to the nitrogen cycle in sandy sediments of shallow continental shelf areas.
    Keywords: 64PE327; 64PE327_1-MUC; 64PE327_4-MUC; 64PE327_6-MUC; 64PE327_7-MUC; 64PE329; 64PE329_1-MUC; 64PE329_4-MUC; 64PE329_6-MUC; 64PE329_7-MUC; 64PE337; 64PE337_1-MUC; 64PE337_4-MUC; 64PE337_6-MUC; 64PE337_7-MUC; 64PE343; 64PE343_1-MUC; 64PE343_4-MUC; 64PE343_6-MUC; 64PE343_7-MUC; Ammonium; Anammox 16s rRNA; Anammox 16s rRNA, standard deviation; Anammox rate; Anammox rate, standard deviation; Carbon, organic, total; CHARLET/NICYCLE; Cruise/expedition; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; Hydrazine synthase; Hydrazine synthase, standard deviation; Latitude of event; Longitude of event; Median, grain size; MUC; MultiCorer; NICYCLE/FOKUZ; NICYCLE/FOKUZ II; NICYCLE/FOKUZ III; Nitrate; Nitrite; Nitrogen production rate; North Sea; PC-monoether; PC-monoether, standard deviation; Pelagia; Phosphate; Salinity; Silicate; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Station label
    Type: Dataset
    Format: text/tab-separated-values, 364 data points
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  • 115
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    PANGAEA
    In:  Supplement to: Licandro, Priscilla; Blackett, Michael; Fischer, Astrid; Hosia, Aino; Kennedy, Janelle; Kirby, Richard R; Raab, Kristina; Stern, Robert J; Tranter, Paul (2015): Biogeography of jellyfish in the North Atlantic, by traditional and genomic methods. Earth System Science Data, 7(2), 173-191, https://doi.org/10.5194/essd-7-173-2015
    Publication Date: 2023-03-07
    Description: In recent years a global increase in jellyfish (i.e. Cnidarians and Ctenophores) abundance and a rise in the recurrence of jellyfish outbreak events have been largely debated, but a general consensus on this matter has not been achieved yet. Within this debate, it has been generally recognised that there is a lack of reliable data that could be analysed and compared to clarify whether indeed jellyfish are increasing throughout the world ocean as a consequence of anthropogenic impact and hydroclimatic variability. Here we describe different jellyfish data sets produced within the EU program EUROBASIN, which have been assembled with the aim of presenting an up to date overview on the diversity and standing stocks of North Atlantic jellyfish. Abundance and species composition were determined in samples collected in the epipelagic layer (0- 200m), using a net well adapted to quantitatively catching gelatinous zooplankton. The samples were collected in spring-summer (April-August) 2010-2013, in inshore and offshore North Atlantic waters, between 59-68LatN and 62W-5ELong. Jellyfish were also identified and counted in samples opportunistically collected by other sampling gears in the same region and in two coastal stations in the Bay of Biscay and in the Gulf of Cadiz. Continuous Plankton Recorder (CPR) samples collected in 2009-2012 were re-analysed with the aim of identifying the time and location of jellyfish blooms across the North Atlantic basin.
    Keywords: Basin Scale Analysis, Synthesis and Integration; EURO-BASIN
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 116
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L2; LATITUDE; LLDEP; LONGITUDE; Longline deployment; Thunnus alalunga
    Type: Dataset
    Format: text/tab-separated-values, 53526 data points
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  • 117
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L1; LATITUDE; LLDEP; LONGITUDE; Longline deployment; Thunnus alalunga
    Type: Dataset
    Format: text/tab-separated-values, 17451 data points
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  • 118
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L4; LATITUDE; LFB; Line Fishing Bait; LONGITUDE; Thunnus alalunga
    Type: Dataset
    Format: text/tab-separated-values, 8241 data points
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  • 119
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L3; LATITUDE; LLDEP; LONGITUDE; Longline deployment; Thunnus alalunga
    Type: Dataset
    Format: text/tab-separated-values, 218928 data points
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  • 120
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L5; LATITUDE; LFB; Line Fishing Bait; LONGITUDE; Thunnus alalunga
    Type: Dataset
    Format: text/tab-separated-values, 2997 data points
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  • 121
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L6; LATITUDE; LFB; Line Fishing Bait; LONGITUDE; Thunnus alalunga, mass
    Type: Dataset
    Format: text/tab-separated-values, 6927 data points
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  • 122
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L7; LATITUDE; LFB; Line Fishing Bait; LONGITUDE; Thunnus alalunga, mass
    Type: Dataset
    Format: text/tab-separated-values, 15123 data points
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  • 123
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L8; LATITUDE; LFB; Line Fishing Bait; LONGITUDE; Thunnus alalunga, mass
    Type: Dataset
    Format: text/tab-separated-values, 6327 data points
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  • 124
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of hooks; EURO-BASIN; Event label; Fishing effort; ICCAT-L9; LATITUDE; LFB; Line Fishing Bait; LONGITUDE; Thunnus alalunga, mass
    Type: Dataset
    Format: text/tab-separated-values, 14331 data points
    Location Call Number Expected Availability
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  • 125
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of sets; EURO-BASIN; Event label; Fishing effort; ICCAT-T10; LATITUDE; LONGITUDE; Thunnus alalunga; TROLL; Trolling fishing
    Type: Dataset
    Format: text/tab-separated-values, 18867 data points
    Location Call Number Expected Availability
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  • 126
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of sets; EURO-BASIN; Event label; Fishing effort; ICCAT-T11; LATITUDE; LONGITUDE; Thunnus alalunga, mass; TROLL; Trolling fishing
    Type: Dataset
    Format: text/tab-separated-values, 1824 data points
    Location Call Number Expected Availability
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  • 127
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of sets; EURO-BASIN; Event label; Fishing effort; ICCAT-B12; LATITUDE; LONGITUDE; Thunnus alalunga; TROLL; Trolling fishing
    Type: Dataset
    Format: text/tab-separated-values, 8568 data points
    Location Call Number Expected Availability
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  • 128
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of sets; EURO-BASIN; Event label; FB; Fish Bait; Fishing effort; ICCAT-B13; LATITUDE; LONGITUDE; Thunnus alalunga
    Type: Dataset
    Format: text/tab-separated-values, 4932 data points
    Location Call Number Expected Availability
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  • 129
    Publication Date: 2023-03-07
    Keywords: Basin Scale Analysis, Synthesis and Integration; Bjarni Saemundsson; BS05-2012; BS05-2012_241-6; BS05-2012_246-3; BS05-2012_248-3; BS05-2012_255-5; BS05-2012_267-5; BS05-2012_272-3; BS05-2012_273-3; BS05-2012_274-3; BS05-2012_281-5; BS05-2012_290-3; BS05-2012_292-3; BS05-2012_299-7; BS05-2012_305-5; BS05-2012_307-3; BS05-2012_315-7; BS05-2012_324-1; BS05-2012_324-2; BS05-2012_330-5; BS05-2012_332-5; BS05-2012_333-3; BS05-2012_338-5; BS05-2012_340-9; Cnidaria; Ctenophora; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; EURO-BASIN; Event label; Iceland Sea; Jellyfish net; JFN; Latitude of event; Longitude of event; Method/Device of event; Station 241; Station 246; Station 248; Station 255; Station 267; Station 272; Station 273; Station 274; Station 281; Station 290; Station 292; Station 299; Station 305; Station 307; Station 315; Station 324; Station 330; Station 332; Station 333; Station 338; Station 340
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
    Location Call Number Expected Availability
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  • 130
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; Determined by number of days at sea; EURO-BASIN; Event label; FB; Fish Bait; Fishing effort; ICCAT-B14; LATITUDE; LONGITUDE; Thunnus alalunga, mass
    Type: Dataset
    Format: text/tab-separated-values, 360 data points
    Location Call Number Expected Availability
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  • 131
    Publication Date: 2023-03-07
    Description: In recent years a global increase in jellyfish (i.e. Cnidarians and Ctenophores) abundance and a rise in the recurrence of jellyfish outbreak events have been largely debated, but a general consensus on this matter has not been achieved yet. Within this debate, it has been generally recognized that there is a lack of reliable data that could be analyzed and compared to clarify whether indeed jellyfish are increasing throughout the world ocean as a consequence of anthropogenic impact and hydroclimatic variability. During the G.O. Sars cruise jellyfish were collected at different depths in the 0-1000m layer using a standard 1 m**2 Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) (quantitative data), Harstad and macroplankton trawls (qualitative data). The comparison of records collected with different nets during the G.O. Sars transatlantic cruise shows that different sampling gears might provide very different information on jellyfish diversity. Indeed, the big trawls mostly collect relatively large scyphozoan and hydrozoan species such as Atolla, Pelagia, Praya, Vogtia, while small hydrozoans (e.g. Clytia, Gilia, Muggiaea) and early stages of ctenophora are only caught by the smaller nets.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Cnidaria; Ctenophora; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; EURO-BASIN; Event label; G. O. Sars (2003); GS13/107; GS13/107_152_JFN; GS13/107_152_MOC; GS13/107_154_MOC; GS13/107_155_JFN; GS13/107_155_MOC; GS13/107_157_JFN; GS13/107_157_MOC; GS13/107_159_JFN; GS13/107_160_JFN; GS13/107_160_MOC; GS13/107_160-2_JFN; GS13/107_161_JFN; GS13/107_161_MOC; GS13/107_162_JFN; GS13/107_162_MOC; GS13/107_163_JFN; GS13/107_163_MOC; GS13/107_165_JFN; GS13/107_166_JFN; GS13/107_167_JFN; GS13/107_167_MOC; GS13/107_168_JFN; GS13/107_168_MOC; GS13/107_169_JFN; GS13/107_169_MOC; GS13/107_170_JFN; GS13/107_170_MOC; GS13/107_171_JFN; GS13/107_171_MOC; Jellyfish net; JFN; Labrador Sea; Latitude of event; Longitude of event; Method/Device of event; MOC; MOCNESS opening/closing plankton net; North Atlantic; Norwegian Trans Atlantic Cruise; Station 152; Station 154; Station 155; Station 157; Station 159; Station 160; Station 160-2; Station 161; Station 162; Station 163; Station 165; Station 166; Station 167; Station 168; Station 169; Station 170; Station 171
    Type: Dataset
    Format: text/tab-separated-values, 376 data points
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  • 132
    Publication Date: 2023-03-07
    Keywords: Basin Scale Analysis, Synthesis and Integration; Cnidaria; Ctenophora; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; EURO-BASIN; Event label; Jellyfish net; JFN; Latitude of event; Longitude of event; Method/Device of event; NEA_2011_1; NEA_2011_2; NEA_2011_3; NEA_2011_4; North Atlantic; Station 1; Station 2; Station 3; Station 4
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 133
    Publication Date: 2023-03-07
    Keywords: AZTI_58; AZTI_67; AZTI_68; AZTI_69; Basin Scale Analysis, Synthesis and Integration; Bay of Biscay; BONGO; Bongo net; Cnidaria; Ctenophora; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; EURO-BASIN; Event label; Latitude of event; Longitude of event; Method/Device of event; Station 58; Station 67; Station 68; Station 69
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 134
    Publication Date: 2023-03-07
    Keywords: Aeginopsis laurentii; Aglantha digitale; Basin Scale Analysis, Synthesis and Integration; Beroe spp.; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Dimophyes arctica; EURO-BASIN; Event label; Jellyfish net; JFN; Latitude of event; Longitude of event; Mertensia ovum; Method/Device of event; NEA_2011_1; NEA_2011_2; NEA_2011_3; NEA_2011_4; North Atlantic; Station 1; Station 2; Station 3; Station 4
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
    Location Call Number Expected Availability
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  • 135
    Publication Date: 2023-03-07
    Keywords: Basin Scale Analysis, Synthesis and Integration; BONGO; Bongo net; Cnidaria; Ctenophora; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; EURO-BASIN; Event label; IEO_G-01; IEO_G-02; IEO_GD-02; IEO_P-01_03; IEO_P-01_07; IEO_SP-01; IEO_T-01; IEO_TF-01; Latitude of event; Longitude of event; Method/Device of event
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 136
    Publication Date: 2023-03-10
    Keywords: Bubble catcher; Bubble flux; BUC; Carbon dioxide, flux; DATE/TIME; DEPTH, water; ECO2; ECO2-6; ECO2-6-30; ECO2-6-65; Event label; LATITUDE; LONGITUDE; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 23 data points
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  • 137
    Publication Date: 2023-03-10
    Keywords: Carbon dioxide, partial pressure; CO2S; CO2 Sensor; DATE/TIME; DEPTH, water; ECO2; ECO2-7; ECO2-7-29; ECO2-7-34; Event label; GasPro-pCO2 sensor; Latitude of event; Longitude of event; Panarea; Pressure, water; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
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  • 138
    Publication Date: 2023-03-10
    Keywords: Bubble rise velocity; DATE/TIME; DEPTH, water; ECO2; ECO2-6; ECO2-6-66; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; VIDEO; Video camera; Video Exp \ bubble size + bubble rise velocity
    Type: Dataset
    Format: text/tab-separated-values, 198 data points
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  • 139
    Publication Date: 2023-03-10
    Keywords: Carbon dioxide, partial pressure; CO2S; CO2 Sensor; DATE/TIME; Depth, bottom/max; DEPTH, water; ECO2; ECO2-7; ECO2-7-40; ECO2-7 transect; GasPro-pCO2 sensor; LATITUDE; LONGITUDE; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 14720 data points
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  • 140
    Publication Date: 2023-03-10
    Keywords: Bubble catcher; bubble flux; BUC; Carbon dioxide, flux; DATE/TIME; DEPTH, water; ECO2; ECO2-7; ECO2-7-F1; ECO2-7-F2; ECO2-7-F3; ECO2-7-P1; ECO2-7-P2; ECO2-7-P3; Event label; LATITUDE; LONGITUDE; Panarea; Sample code/label; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 156 data points
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  • 141
    Publication Date: 2023-03-10
    Keywords: Benthic Chamber; benthic flux\pCO2 monitoring; Carbon dioxide, partial pressure; CHAM; DATE/TIME; DEPTH, water; ECO2; ECO2-7; ECO2-7-42; GasPro-pCO2 sensor; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 142
    Publication Date: 2023-03-10
    Keywords: Benthic Chamber; benthic chamber/cold; benthic chamber/hot; Carbon dioxide, partial pressure; CHAM; DATE/TIME; DEPTH, sediment/rock; ECO2; ECO2-4; ECO2-4-100; ECO2-4-103; Elevation of event; Event label; GasPro-pCO2 sensor; Panarea; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 249 data points
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  • 143
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Pinnegar, John Keith; Goñi, Nicolas; Trenkel, Verena M; Arrizabalaga, Haritz; Melle, Webjørn; Keating, James; Óskarsson, Guomundur J (2015): A new compilation of stomach content data for commercially important pelagic fish species in the northeast Atlantic. Earth System Science Data, 7(1), 19-28, https://doi.org/10.5194/essd-7-19-2015
    Publication Date: 2023-03-07
    Description: The tuna stomach database from AZTI-Tecnalia corresponds to 7 years of sampling from 2004 to 2011. Due to the absence of continuity in the different projects dealing with the feeding ecology of tunas, the sampling could not be performed every year for both species, and no sample was collected in 2008. However, the fish stomach content record contents composition - by prey weight - of 1525 albacore caught in the Bay of Biscay and surrounding waters of the North Atlantic Drift Region in 2005 (n=397), 2006 (n=196), 2007 (n=37), 2009 (n=95), 2010 (n=566) and 2011 (n=234) ; and of 686 bluefin tunas caught in the Southeastern Bay of Biscay in 2004 (n=32), 2005 (n=36), 2006 (n=3), 2009 (n=257), 2010 (n=233) and 2011 (n=125). Samples have been obtained from scientific research surveys (using a variety of different fishing gears), from commercial fisheries catches, from individual fish voluntarily sampled by recreational fishermen and from fish accidentally stranded on coastlines. Each predator is identified by an ID and its length and wet weight are given. In case the wet weight could not be measured, it was estimated through a length-weight relationship equation and is indicated in the comment for the Predator mass column. The total weight of each prey is given, as well as the weight of each prey taxonomic group in each stomach.
    Keywords: AZTI-2004-1; AZTI-2004-2; AZTI-2004-3; AZTI-2004-4; AZTI-2005-1; AZTI-2005-10; AZTI-2005-100; AZTI-2005-101; AZTI-2005-102; AZTI-2005-103; AZTI-2005-104; AZTI-2005-105; AZTI-2005-106; AZTI-2005-107; AZTI-2005-108; AZTI-2005-109; AZTI-2005-11; AZTI-2005-110; AZTI-2005-111; AZTI-2005-112; AZTI-2005-113; AZTI-2005-114; AZTI-2005-115; AZTI-2005-116; AZTI-2005-117; AZTI-2005-118; AZTI-2005-119; AZTI-2005-12; AZTI-2005-120; AZTI-2005-121; AZTI-2005-122; AZTI-2005-123; AZTI-2005-124; AZTI-2005-125; AZTI-2005-126; AZTI-2005-127; AZTI-2005-128; AZTI-2005-13; AZTI-2005-130; AZTI-2005-131; AZTI-2005-132; AZTI-2005-133; AZTI-2005-134; AZTI-2005-135; AZTI-2005-136; AZTI-2005-137; AZTI-2005-138; AZTI-2005-139; AZTI-2005-14; AZTI-2005-143; AZTI-2005-144; AZTI-2005-145; AZTI-2005-146; AZTI-2005-147; AZTI-2005-148; AZTI-2005-149; AZTI-2005-15; AZTI-2005-150; AZTI-2005-151; AZTI-2005-152; AZTI-2005-154; AZTI-2005-156; AZTI-2005-16; AZTI-2005-160; AZTI-2005-161; AZTI-2005-162; AZTI-2005-163; AZTI-2005-164; AZTI-2005-165; AZTI-2005-166; AZTI-2005-167; AZTI-2005-168; AZTI-2005-169; AZTI-2005-17; AZTI-2005-170; AZTI-2005-171; AZTI-2005-172; AZTI-2005-173; AZTI-2005-174; AZTI-2005-175; AZTI-2005-176; AZTI-2005-177; AZTI-2005-178; AZTI-2005-18; AZTI-2005-180; AZTI-2005-181; AZTI-2005-182; AZTI-2005-183; AZTI-2005-184; AZTI-2005-19; AZTI-2005-2; AZTI-2005-20; AZTI-2005-21; AZTI-2005-22; AZTI-2005-23; AZTI-2005-24; AZTI-2005-25; AZTI-2005-26; AZTI-2005-27; AZTI-2005-28; AZTI-2005-29; AZTI-2005-3; AZTI-2005-30; AZTI-2005-31; AZTI-2005-32; AZTI-2005-33; AZTI-2005-34; AZTI-2005-36; AZTI-2005-37; AZTI-2005-38; AZTI-2005-4; AZTI-2005-40; AZTI-2005-41; AZTI-2005-42; AZTI-2005-44; AZTI-2005-45; AZTI-2005-46; AZTI-2005-47; AZTI-2005-5; AZTI-2005-51; AZTI-2005-52; AZTI-2005-54; AZTI-2005-55; AZTI-2005-56; AZTI-2005-57; AZTI-2005-58; AZTI-2005-59; AZTI-2005-6; AZTI-2005-60; AZTI-2005-61; AZTI-2005-62; AZTI-2005-63; AZTI-2005-64; AZTI-2005-65; AZTI-2005-66; AZTI-2005-67; AZTI-2005-68; AZTI-2005-69; AZTI-2005-7; AZTI-2005-70; AZTI-2005-71; AZTI-2005-72; AZTI-2005-73; AZTI-2005-74; AZTI-2005-75; AZTI-2005-76; AZTI-2005-77; AZTI-2005-78; AZTI-2005-79; AZTI-2005-8; AZTI-2005-80; AZTI-2005-81; AZTI-2005-82; AZTI-2005-83; AZTI-2005-84; AZTI-2005-86; AZTI-2005-87; AZTI-2005-88; AZTI-2005-89; AZTI-2005-9; AZTI-2005-90; AZTI-2005-91; AZTI-2005-93; AZTI-2005-94; AZTI-2005-95; AZTI-2005-96; AZTI-2005-97; AZTI-2005-98; AZTI-2005-99; AZTI-2006-1; AZTI-2006-10; AZTI-2006-11; AZTI-2006-12; AZTI-2006-13; AZTI-2006-14; AZTI-2006-15; AZTI-2006-16; AZTI-2006-17; AZTI-2006-18; AZTI-2006-19; AZTI-2006-2; AZTI-2006-20; AZTI-2006-21; AZTI-2006-22; AZTI-2006-23; AZTI-2006-24; AZTI-2006-25; AZTI-2006-27; AZTI-2006-28; AZTI-2006-29; AZTI-2006-3; AZTI-2006-31; AZTI-2006-32; AZTI-2006-33; AZTI-2006-35; AZTI-2006-36; AZTI-2006-37; AZTI-2006-5; AZTI-2006-7; AZTI-2006-8; AZTI-2006-9; AZTI-2007-1; AZTI-2007-2; AZTI-2007-3; AZTI-2007-4; AZTI-2007-5; AZTI-2007-6; AZTI-2007-7; AZTI-2009-1; AZTI-2009-11; AZTI-2009-13; AZTI-2009-14; AZTI-2009-15; AZTI-2009-2; AZTI-2009-21; AZTI-2009-22; AZTI-2009-24; AZTI-2009-25; AZTI-2009-27; AZTI-2009-28; AZTI-2009-29; AZTI-2009-3; AZTI-2009-30; AZTI-2009-31; AZTI-2009-32; AZTI-2009-33; AZTI-2009-34; AZTI-2009-35; AZTI-2009-36; AZTI-2009-37; AZTI-2009-38; AZTI-2009-39; AZTI-2009-4; AZTI-2009-40; AZTI-2009-41; AZTI-2009-42; AZTI-2009-5; AZTI-2009-9; AZTI-2010-1; AZTI-2010-10; AZTI-2010-11; AZTI-2010-12; AZTI-2010-13; AZTI-2010-14; AZTI-2010-15; AZTI-2010-16; AZTI-2010-17; AZTI-2010-18; AZTI-2010-19; AZTI-2010-2; AZTI-2010-20; AZTI-2010-21; AZTI-2010-22; AZTI-2010-23; AZTI-2010-24; AZTI-2010-25; AZTI-2010-26; AZTI-2010-27; AZTI-2010-29; AZTI-2010-3; AZTI-2010-30; AZTI-2010-31; AZTI-2010-32; AZTI-2010-33; AZTI-2010-34; AZTI-2010-35; AZTI-2010-37; AZTI-2010-38; AZTI-2010-4; AZTI-2010-40; AZTI-2010-41; AZTI-2010-45; AZTI-2010-47; AZTI-2010-48; AZTI-2010-5; AZTI-2010-50; AZTI-2010-53; AZTI-2010-55; AZTI-2010-56; AZTI-2010-57; AZTI-2010-58; AZTI-2010-59; AZTI-2010-6; AZTI-2010-60; AZTI-2010-61; AZTI-2010-62; AZTI-2010-63; AZTI-2010-65; AZTI-2010-68; AZTI-2010-69; AZTI-2010-7; AZTI-2010-71; AZTI-2010-72; AZTI-2010-73; AZTI-2010-76; AZTI-2010-79; AZTI-2010-8; AZTI-2010-81; AZTI-2010-83; AZTI-2010-84; AZTI-2010-85; AZTI-2010-86; AZTI-2010-9; AZTI-2011-10; AZTI-2011-12; AZTI-2011-13; AZTI-2011-14; AZTI-2011-15; AZTI-2011-16; AZTI-2011-17; AZTI-2011-18; AZTI-2011-20; AZTI-2011-24; AZTI-2011-26; AZTI-2011-3; AZTI-2011-31; AZTI-2011-33; AZTI-2011-34; AZTI-2011-35; AZTI-2011-39; AZTI-2011-4; AZTI-2011-40; AZTI-2011-43; AZTI-2011-46; AZTI-2011-47; AZTI-2011-48; AZTI-2011-49; AZTI-2011-5; AZTI-2011-50; AZTI-2011-52; AZTI-2011-54; AZTI-2011-58; AZTI-2011-59; AZTI-2011-6; AZTI-2011-60; AZTI-2011-64; AZTI-2011-67; AZTI-2011-68; AZTI-2011-7; AZTI-2011-73; AZTI-2011-74; AZTI-2011-76; AZTI-2011-8; AZTI-2011-9; Basin Scale Analysis, Synthesis and Integration; Comment; Date/Time of event; EURO-BASIN; Event label; Fishing rod; FR; Identification; Latitude of event; Longitude of event; Midwater trawl; MWT; North Atlantic Drift Region; Predator, length; Predator, mass; Predator stomach content, total mass; Predator taxa; Prey, mass; Prey taxa; TROLL; Trolling fishing; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 258223 data points
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  • 144
    Publication Date: 2023-03-07
    Keywords: A92; A92-GN3619920270224502wp2; A92-GN3619920270224603wp2; A92-GN3619920270225810wp2; A92-GN3619920270226804wp2; A92-GN3619920270226811wp2; Abundance per volume; Aegaeo; Aegean Sea; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; Longitude of event; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; WP2; WP-2 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 100 data points
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  • 145
    Publication Date: 2023-03-07
    Description: Oxygen concentration and rate of change of oxygen were measured using the Unisense Oxygen Microsensor System. Water from different depth was taken from CTD attached niskin bottle. Measurements were conducted in 2 ml vials provided by Unisense and lasted for a minimum of two minutes after a stable rate was achieved. The sampling interval was 6 seconds. Transport containers, tubes and vials for measurements were covered with light proof black foil for dark-measurements.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Chlorophyll total; Coefficient of determination; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; EURO-BASIN; Event label; James Cook; JC087; JC087-003; JC087-031; Latitude of event; Longitude of event; Oxygen; Oxygen, microelectrode, ex-situ; Porcupine Abyssal Plain; Respiration rate, oxygen
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
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  • 146
    Publication Date: 2023-03-07
    Description: The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Code; DATE/TIME; EURO-BASIN; Event label; FB; Fish Bait; ICCAT-B12; ICCAT-B13; ICCAT-B14; ICCAT-L2; ICCAT-L4; ICCAT-L5; ICCAT-L6; ICCAT-L7; ICCAT-L9; Latitude, northbound; Latitude, southbound; LFB; Line Fishing Bait; LLDEP; Longitude, eastbound; Longitude, westbound; Longline deployment; Thunnus alalunga, length frequency; TROLL; Trolling fishing
    Type: Dataset
    Format: text/tab-separated-values, 38874 data points
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  • 147
    facet.materialart.
    Unknown
    PANGAEA
    In:  Technical University of Denmark | Supplement to: Huse, Geir; MacKenzie, Brian R; Trenkel, Verena M; Doray, Mathieu; Nøttestad, Leif; Óskarsson, Guomundur J (2015): Spatially explicit estimates of stock sizes, structure and biomass of herring and blue whiting, and catch data of bluefin tuna. Earth System Science Data, 7(1), 35-46, https://doi.org/10.5194/essd-7-35-2015
    Publication Date: 2023-03-07
    Description: The data have been extracted and compiled from various sources but mainly from the ICES data base. The ICES data are from catch databases downloaded from the ICES website on 2014-01-14. These data are resolved by ICES area, country and year. During inspection of these data, it was noted that Norwegian data for years before 1950 had not been entered into the catch database on the ICES website. ICES has been notified of this omission by B. R. MacKenzie. The Norwegian data from ICES Bulletins. Statistiques has been added. Additional historical bluefin tuna catch data from other fishery reports and sources have been included in the data file for years preceding those when countries started reported their landings officially to ICES. These additional data have been reported in the literature previously (MacKenzie and Myers 2007, Fisheries Research).
    Keywords: Basin Scale Analysis, Synthesis and Integration; Country; Date; EURO-BASIN; Name; Thunnus thynnus, mass
    Type: Dataset
    Format: text/tab-separated-values, 1412 data points
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  • 148
    Publication Date: 2023-03-07
    Keywords: Abundance per volume; Aegaeo; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; INTERREG-MARCH-2000; Ionian Sea; Latitude of event; Longitude of event; MARCH-2000-IAR04wp2; MARCH-2000-IAR06wp2; MARCH-2000-IKA00wp2; MARCH-2000-IKE6wp2; MARCH-2000-IKE7wp2; MARCH-2000-IKE9wp2; MARCH-2000-IPA1wp2; MARCH-2000-IPA2wp2; MARCH-2000-IPA3wp2; MARCH-2000-IPA4wp2; MARCH-2000-IPA5wp2; MARCH-2000-IRI11wp2; MARCH-2000-IRI12wp2; MARCH-2000-IRI13wp2; MARCH-2000-IRI15wp2; MARCH-2000-IRI18wp2; MARCH-2000-IRI21wp2; MARCH-2000-IRI27wp2; MARCH-2000-IRI31wp2; MARCH-2000-IRI33wp2; MARCH-2000-IRI34wp2; MARCH-2000-IRI35wp2; MARCH-2000-IRI37wp2; MARCH-2000-IRI38wp2; MARCH-2000-IRI40wp2; MARCH-2000-IRI42wp2; MARCH-2000-IRI43wp2; MARCH-2000-IRI46wp2; MARCH-2000-IRI49wp2; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; WP2; WP-2 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 325 data points
    Location Call Number Expected Availability
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  • 149
    Publication Date: 2023-03-07
    Keywords: Abundance per volume; Aegaeo; Aegean Sea; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; LIA05; LIA-5-GN3619870010525310wp2; LIA-5-GN3619870010526301wp2; LIA-5-GN3619870010527101wp2; LIA-5-GN3619870010527501wp2; LIA-5-GN3619870010528003wp2; LIA-5-GN3619870010528401wp2; LIA-5-GN3619870010528601wp2; LIA-5-GN3619870010529501wp2; LIA-5-GN3619870010580401wp2; LIA-5-GN3619870010580502wp2; LIA-5-GN3619870010590901wp2; Longitude of event; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes; Taxon/taxa; Uniform resource locator/link to reference; WP2; WP-2 towed closing plankton net
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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  • 150
    Publication Date: 2023-03-07
    Description: Analysis for micro-molar concentrations of nitrate and nitrite, nitrite, phosphate, silicate and ammonia was undertaken on a SEAL Analytical UK Ltd, AA3 segmented flow autoanalyser following methods described by Kirkwood (1996). Samples were drawn from Niskin bottles on the CTD into 15ml polycarbonate centrifuge tubes and kept refrigerated at approximately 4oC until analysis, which generally commenced within 30 minutes. Overall 23 runs with 597 samples were analysed. This is a total of 502 CTD samples, 69 underway samples and 26 from other sources. An artificial seawater matrix (ASW) of 40g/litre sodium chloride was used as the inter-sample wash and standard matrix. The nutrient free status of this solution was checked by running Ocean Scientific International (OSI) low nutrient seawater (LNS) on every run. A single set of mixed standards were made up by diluting 5mM solutions made from weighed dried salts in 1litre of ASW into plastic 250ml volumetric flasks that had been cleaned by washing in MilliQ water (MQ). Data processing was undertaken using SEAL Analytical UK Ltd proprietary software (AACE 6.07) and was performed within a few hours of the run being finished. The sample time was 60 seconds and the wash time was 30 seconds. The lines were washed daily with wash solutions specific for each chemistry, but comprised of MQ, MQ and SDS, MQ and Triton-X, or MQ and Brij-35. Three times during the cruise the phosphate and silicate channels were washed with a weak sodium hypochlorite solution.
    Keywords: Ammonium; Basin Scale Analysis, Synthesis and Integration; Bottle number; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Dissolved oxygen with modified Winkler (Carpenter, 1965); EURO-BASIN; Event label; James Cook; JC087; JC087-001; JC087-002; JC087-003; JC087-004; JC087-005; JC087-006; JC087-007; JC087-008; JC087-009; JC087-010; JC087-011; JC087-012; JC087-013; JC087-014; JC087-015; JC087-017; JC087-018; JC087-019; JC087-020; JC087-021; JC087-022; JC087-023; JC087-024; JC087-031; JC087-037; JC087-040; JC087-042; JC087-050; JC087-051; JC087-055; JC087-060; JC087-067; JC087-074; JC087-075; JC087-088; JC087-094; JC087-096; JC087-101; JC087-104; JC087-117; JC087-126; JC087-130; JC087-141; JC087-149; JC087-151; Latitude of event; Longitude of event; Nitrate and Nitrite; Nitrite; Nutrient analyser; Oxygen; PELAGRA; Phosphate; Porcupine Abyssal Plain; Silicate; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 3390 data points
    Location Call Number Expected Availability
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  • 151
    facet.materialart.
    Unknown
    PANGAEA
    In:  Bjerknes Centre for Climate Research | Supplement to: Hjøllo, Solfrid Sætre; Huse, Geir; Skogen, Morten; Melle, Webjørn (2012): Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system. Marine Biology Research, 8(5-6), 508-526, https://doi.org/10.1080/17451000.2011.642805
    Publication Date: 2023-03-07
    Description: The copepod Calanus finmarchicus is the dominant species of the meso-zooplankton in the Norwegian Sea, and constitutes an important link between the phytoplankton and the higher trophic levels in the Norwegian Sea food chain. An individualbased model for C. finmarchicus, based on super-individuals and evolving traits for behaviour, stages, etc., is two-way coupled to the NORWegian ECOlogical Model system (NORWECOM). One year of modelled C. finmarchicus spatial distribution, production and biomass are found to represent observations reasonably well. High C. finmarchicus abundance is found along the Norwegian shelf-break in the early summer, while the overwintering population is found along the slope and in the deeper Norwegian Sea basins. The timing of the spring bloom is generally later than in the observations. Annual Norwegian Sea production is found to be 29 million tonnes of carbon and a production to biomass (P/B) ratio of 4.3 emerges. Sensitivity tests show that the modelling system is robust to initial values of behavioural traits and with regards to the number of super-individuals simulated given that this is above about 50,000 individuals. Experiments with the model system indicate that it provides a valuable tool for studies of ecosystem responses to causative forces such as prey density or overwintering population size. For example, introducing C. finmarchicus food limitations reduces the stock dramatically, but on the other hand, a reduced stock may rebuild in one year under normal conditions. The NetCDF file contains model grid coordinates and bottom topography.
    Keywords: Basin Scale Analysis, Synthesis and Integration; C_finmarchicus_MODELEXP; Calculated; Carbon mass; EURO-BASIN; EXP; Experiment; Julian day; Norwegian Sea; Number; Number of individuals; Stage; x; y
    Type: Dataset
    Format: text/tab-separated-values, 1819773 data points
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  • 152
    Publication Date: 2023-03-07
    Description: The present study aimed to contribute to the knowledge on the intraspecific variations of enzyme activities in populations of Calanus finmarchicus from different longitudes across the North Atlantic Ocean and their relation to changing environmental conditions. C. finmarchicus was sampled across the North Atlantic in basins with decreasing temperature regimes from east to west (Iceland Basin, Irminger Basin and Labrador Basin) in late March/early April 2013. Potential maximum enzyme activities of digestive (proteinases and lipases/esterases) and metabolic (citrate synthase) enzymes of copepods from all sampling stations were analysed and thermal profiles (5-50°C) of enzyme activities were determined. In order to investigate its acclimation potential, C. finmarchicus were acclimated to 4°C and 15°C for two weeks and thermal profiles of enzyme activities were compared afterwards.
    Keywords: Basin Scale Analysis, Synthesis and Integration; EURO-BASIN
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 153
    Publication Date: 2023-03-06
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany; Distance, relative, X; Distance, relative, Y; Distance, relative, Z; Structured light camera Microsoft Kinect for XBOX360
    Type: Dataset
    Format: text/tab-separated-values, 189255 data points
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  • 154
    Publication Date: 2023-03-06
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany; Distance, relative, X; Distance, relative, Y; Distance, relative, Z; Terrestrial Laser Scanner RIEGL VZ-400
    Type: Dataset
    Format: text/tab-separated-values, 389514 data points
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  • 155
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    Unknown
    PANGAEA
    In:  Institut für Biodiversitätsforschung der Universität Rostock
    Publication Date: 2023-03-09
    Description: Structural parameters were collected in order to characterise the seven dominant vegetation types and to analyse for differences between the vegetation types. Datasets created by IMPETUS subproject A3. IMPETUS data set ID: 135
    Keywords: Global Change and the Hydrological Cycle; GLOWA
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 156
    facet.materialart.
    Unknown
    PANGAEA
    In:  Institut für Nutzpflanzenwissenschaften und Ressourcenschutz der Universität Bonn
    Publication Date: 2023-03-09
    Description: Datasets created by IMPETUS subproject B3. IMPETUS data set ID: 108
    Keywords: Global Change and the Hydrological Cycle; GLOWA
    Type: Dataset
    Format: application/zip, 16 datasets
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  • 157
    facet.materialart.
    Unknown
    PANGAEA
    In:  Institut für Biodiversitätsforschung der Universität Rostock
    Publication Date: 2023-03-09
    Description: Tree seedlings and saplings were counted in permanent plots at the end of the rainy season in september 2001/2002/2003/2004. Datasets created by IMPETUS subproject A3. IMPETUS data set ID: 292
    Keywords: Global Change and the Hydrological Cycle; GLOWA
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 158
    Publication Date: 2023-03-09
    Description: Dataset created by IMPETUS subproject B3. IMPETUS data set ID: 106
    Keywords: Global Change and the Hydrological Cycle; GLOWA
    Type: Dataset
    Format: application/zip, 7 datasets
    Location Call Number Expected Availability
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  • 159
    facet.materialart.
    Unknown
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2023-03-09
    Keywords: Calculated; CTD; CTD/Rosette; CTD-RO; CTD with attached oxygen sensor; Dana04/8; Dana04/8_101-CTD_62; Dana04/8_104-CTD_63; Dana04/8_105-CTD_64; Dana04/8_106-CTD_65; Dana04/8_109-CTD_66; Dana04/8_110-CTD_67; Dana04/8_113-CTD_68; Dana04/8_114-CTD_69; Dana04/8_116-CTD_70; Dana04/8_11-CTD_7; Dana04/8_12-CTD_8; Dana04/8_13-CTD_9; Dana04/8_16-CTD_10; Dana04/8_17-CTD_11; Dana04/8_19-CTD_12; Dana04/8_1-CTD_1; Dana04/8_21-CTD_13; Dana04/8_22-CTD_14; Dana04/8_25-CTD_15; Dana04/8_26-CTD_16; Dana04/8_27-CTD_17; Dana04/8_28-CTD_18; Dana04/8_30-CTD_19; Dana04/8_32-CTD_20; Dana04/8_34-CTD_21; Dana04/8_35-CTD_22; Dana04/8_36-CTD_23; Dana04/8_38-CTD_24; Dana04/8_39-CTD_25; Dana04/8_3-CTD_2; Dana04/8_41-CTD_26; Dana04/8_42-CTD_27; Dana04/8_43-CTD_28; Dana04/8_46-CTD_29; Dana04/8_47-CTD_30; Dana04/8_48-CTD_31; Dana04/8_49-CTD_32; Dana04/8_50-CTD_33; Dana04/8_52-CTD_34; Dana04/8_54-CTD_35; Dana04/8_56-CTD_36; Dana04/8_58-CTD_37; Dana04/8_59-CTD_38; Dana04/8_5-CTD_3; Dana04/8_60-CTD_39; Dana04/8_61-CTD_40; Dana04/8_63-CTD_41; Dana04/8_64-CTD_42; Dana04/8_66-CTD_43; Dana04/8_67-CTD_44; Dana04/8_69-CTD_45; Dana04/8_6-CTD_4; Dana04/8_71-CTD_46; Dana04/8_72-CTD_47; Dana04/8_73-CTD_48; Dana04/8_74-CTD_49; Dana04/8_76-CTD_50; Dana04/8_78-CTD_51; Dana04/8_7-CTD_5; Dana04/8_80-CTD_52; Dana04/8_82-CTD_53; Dana04/8_83-CTD_54; Dana04/8_84-CTD_55; Dana04/8_87-CTD_56; Dana04/8_90-CTD_57; Dana04/8_94-CTD_58; Dana04/8_95-CTD_59; Dana04/8_97-CTD_60; Dana04/8_99-CTD_61; Dana04/8_9-CTD_6; Dana II; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; GG04_09; Global Ocean Ecosystem Dynamics; GLOBEC; Latitude of event; Longitude of event; North Sea; Oxygen; Pressure, water; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 17327 data points
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  • 160
    facet.materialart.
    Unknown
    PANGAEA
    In:  Institut für Hydrobiologie und Fischereiwissenschaften, Universität Hamburg
    Publication Date: 2023-03-09
    Keywords: AL270; AL270_1399-CTD_2; AL270_1436-CTD_3; Alkor (1990); Baltic Sea; BB0023; BB0035; Bottle number; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; GG05_12; Global Ocean Ecosystem Dynamics; GLOBEC; Latitude of event; Longitude of event; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 161
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; LYSI; Lysimeter; Mass; Monitoring station; MONS; Oasis of Zagora, Morocco; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 2704 data points
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  • 162
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-28; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 163
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-31; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 164
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-27; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 165
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-33; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 166
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-37; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7339 data points
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  • 167
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-39; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7335 data points
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  • 168
    Publication Date: 2023-03-09
    Keywords: ARG; Arguioun; Automatic weather station; AWS; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 3482 data points
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  • 169
    Publication Date: 2023-03-09
    Keywords: Automatic weather station; AWS; DATE/TIME; El Miyit; EMY; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 18388 data points
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  • 170
    Publication Date: 2023-03-09
    Keywords: Automatic weather station; AWS; DATE/TIME; El Miyit; EMY; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 2658 data points
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  • 171
    Publication Date: 2023-03-09
    Keywords: Automatic weather station; AWS; DATE/TIME; El Miyit; EMY; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 28944 data points
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  • 172
    Publication Date: 2023-03-09
    Keywords: Automatic weather station; AWS; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; TAO; Taoujgalt; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 2948 data points
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  • 173
    Publication Date: 2023-03-09
    Keywords: Automatic weather station; AWS; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; TAO; Taoujgalt; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 11318 data points
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  • 174
    Publication Date: 2023-03-09
    Keywords: Asrir; Battery terminal voltage; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative, daily mean; Humidity, relative, maximum; Humidity, relative, minimum; IMPETUS; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Oasis of Zagora, Morocco; Precipitation, daily total; Radiation, photosynthetically active; Radiation, photosynthetically active, maximum; Temperature, air; Temperature, air, maximum; Temperature, air, minimum; Time of day; Wind speed; Wind speed, maximum; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 8030 data points
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  • 175
    Publication Date: 2023-03-09
    Keywords: Benin, West Africa; Classification; DATE/TIME; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Global Change and the Hydrological Cycle; GLOWA; HVO; IMPETUS; LATITUDE; LONGITUDE; MULT; Multiple investigations; Ouémé Upper Catchment; Sample elevation; Soil composition; Soil horizon; Soil type; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 185 data points
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  • 176
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Oasis of Zagora, Morocco; Precipitation; Radiation, photosynthetically active; Radiation, photosynthetically active, maximum; Temperature, air; Time of day; Wind speed; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 185380 data points
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  • 177
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; LYSI; Lysimeter; Mass; Monitoring station; MONS; Oasis of Zagora, Morocco; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 1282 data points
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  • 178
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; LYSI; Lysimeter; Mass; Monitoring station; MONS; Oasis of Zagora, Morocco; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 2372 data points
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  • 179
    Publication Date: 2023-03-09
    Keywords: Asrir; DATE/TIME; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; LYSI; Lysimeter; Mass; Monitoring station; MONS; Oasis of Zagora, Morocco; Temperature, air; Temperature recorder; TEMP-R; ZAG
    Type: Dataset
    Format: text/tab-separated-values, 2816 data points
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  • 180
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-01; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 181
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-03; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 182
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-11; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 183
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-16; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 184
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-30; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 185
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-32; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 186
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-34; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 187
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-38; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7336 data points
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  • 188
    Publication Date: 2023-03-09
    Keywords: Ameskar Valley, High Atlas Mountains; DATE/TIME; DEPTH, sediment/rock; Global Change and the Hydrological Cycle; GLOWA; IMPETUS; Mar-35; Monitoring station; MONS; Temperature, in rock/sediment; Temperature logger; TLOG
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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  • 189
    Publication Date: 2023-03-09
    Keywords: Automatic weather station; AWS; DATE/TIME; El Miyit; EMY; Global Change and the Hydrological Cycle; GLOWA; HEIGHT above ground; Humidity, relative; IMPETUS; Morocco, North Africa; Temperature, air; Temperature/Humidity data logger
    Type: Dataset
    Format: text/tab-separated-values, 4066 data points
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  • 190
    Publication Date: 2023-03-09
    Keywords: Area/locality; Benin, West Africa; Comment; DATE/TIME; Fragments; Global Change and the Hydrological Cycle; GLOWA; Grass, cover; HVO; IMPETUS; Land use; LATITUDE; Lithology/composition/facies; LONGITUDE; MULT; Multiple investigations; Ouémé Upper Catchment; Position; Sample elevation; Slope; Slope inclination, descriptive; Soil moisture; Soil type; Topography; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 315 data points
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  • 191
    Publication Date: 2023-03-09
    Keywords: Area/locality; DATE/TIME; Drâa-Catchment; Global Change and the Hydrological Cycle; GLOWA; HAND; IMPETUS; LATITUDE; LONGITUDE; Sample code/label; Sample type; Sampling by hand; Tritium; Tritium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 255 data points
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  • 192
    Publication Date: 2023-03-09
    Keywords: Area/locality; Carbon-14, modern; Carbon-14, modern, standard deviation; DATE/TIME; Drâa-Catchment; Global Change and the Hydrological Cycle; GLOWA; HAND; IMPETUS; LATITUDE; LONGITUDE; Sample code/label; Sample type; Sampling by hand; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 193
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    PANGAEA
    In:  Supplement to: Hessler, Ines; Harrison, S P; Kucera, Michal; Waelbroeck, Claire; Chen, Min-Te; Anderson, Carin; de Vernal, Anne; Fréchette, Bianca; Cloke-Hayes, Angela; Leduc, Guillaume; Londeix, Laurent (2014): Implication of methodological uncertainties for mid-Holocene sea surface temperature reconstructions. Climate of the Past, 10(6), 2237-2252, https://doi.org/10.5194/cp-10-2237-2014
    Publication Date: 2023-03-03
    Description: We present and examine a multi-sensor global compilation of mid-Holocene (MH) sea surface temperatures (SST), based on Mg/Ca and alkenone palaeothermometry and reconstructions obtained using planktonic foraminifera and organic-walled dinoflagellate cyst census counts. We assess the uncertainties originating from using different methodologies and evaluate the potential of MH SST reconstructions as a benchmark for climate-model simulations. The comparison between different analytical approaches (time frame, baseline climate) shows the choice of time window for the MH has a negligible effect on the reconstructed SST pattern, but the choice of baseline climate affects both the magnitude and spatial pattern of the reconstructed SSTs. Comparison of the SST reconstructions made using different sensors shows significant discrepancies at a regional scale, with uncertainties often exceeding the reconstructed SST anomaly. Apparent patterns in SST may largely be a reflection of the use of different sensors in different regions. Overall, the uncertainties associated with the SST reconstructions are generally larger than the MH anomalies. Thus, the SST data currently available cannot serve as a target for benchmarking model simulations.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 194
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    PANGAEA
    In:  Supplement to: Saavedra-Pellitero, Mariem; Baumann, Karl-Heinz; Hernández-Almeida, Iván; Flores, José-Abel; Sierro, Francisco Javier (2013): Modern sea surface productivity and temperature estimations off Chile as detected by coccolith accumulation rates. Palaeogeography, Palaeoclimatology, Palaeoecology, 392, 534-545, https://doi.org/10.1016/j.palaeo.2013.10.010
    Publication Date: 2023-03-03
    Description: Recent coccoliths from 74 surface sediment samples recovered from the southeastern Pacific off Chile were examined quantitatively to investigate modern regional gradients of sea surface productivity and temperature. All findings are based on coccolith accumulation rates. Therefore an approach was designed to estimate recent sedimentation rates based on 210Pb and bulk chemistry analyses of the same set of surface samples. Highest total coccolith accumulation rates were found off north-central Chile, where seasonal upwelling takes place. Based on amultiple linear regression between calculated coccolith accumulation rates andWorld Ocean Atlas derived sea surface temperatures, a calibrationmodel to reconstruct annual average temperatures of the uppermost 75 mof thewater column is provided. Themodelwas cross-validated and the SST estimateswere compared with SST observed and SST estimates based on diatoms and planktonic foraminifera, showing a good correlation.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 195
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    PANGAEA
    In:  Supplement to: Razik, Sebastian; Dekkers, Mark J; von Dobeneck, Tilo (2014): How environmental magnetism can enhance the interpretational value of grain-size analysis: A time-slice study on sediment export to the NW African margin in Heinrich Stadial 1 and Mid Holocene. Palaeogeography, Palaeoclimatology, Palaeoecology, 406, 33-48, https://doi.org/10.1016/j.palaeo.2014.04.009
    Publication Date: 2023-03-03
    Description: Sediment dynamics in limnic, fluvial and marine environments can be assessed by granulometric and rock-magnetic methodologies. While classical grain-size analysis by sieving or settling mainly bears information on composition and transport, the magnetic mineral assemblages reflect to a larger extent the petrology and weathering conditions in the sediment source areas. Here, we combine both methods to investigate Late Quaternary marine sediments from five cores along a transect across the continental slope off Senegal. This region near the modern summer Intertropical Convergence Zone is particularly sensitive to climate change and receives sediments from several aeolian, fluvial and marine sources. From each of the investigated five GeoB sediment cores (494-2956 m water depth) two time slices were processed which represent contrasting climatic conditions: the arid Heinrich Stadial 1 (~ 15 kyr BP) and the humid Mid Holocene (~ 6 kyr BP). Each sediment sample was split into 16 grain-size fractions ranging from 1.6 to 500 µm. Concentration and grain-size indicative magnetic parameters (susceptibility, SIRM, HIRM, ARM and ARM/IRM) were determined at room temperature for each of these fractions. The joint consideration of whole sediment and magnetic mineral grain-size distributions allows to address several important issues: (i) distinction of two aeolian sediment fractions, one carried by the north-easterly trade winds (40-63 µm) and the other by the overlying easterly Harmattan wind (10-20 µm) as well as a fluvial fraction assigned to the Senegal River (〈 10 µm); (ii) identification of three terrigenous sediment source areas: southern Sahara and Sahel dust (low fine-grained magnetite amounts and a comparatively high haematite content), dust from Senegalese coastal dunes (intermediate fine-grained magnetite and haematite contents) and soils from the upper reaches of the Senegal River (high fine-grained magnetite content); (iii) detection of partial diagenetic dissolution of fine magnetite particles as a function of organic input and shore distance; (iv) analysis of magnetic properties of marine carbonates dominating the grain-size fractions 63-500 µm.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 196
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    PANGAEA
    In:  Supplement to: Zhuang, Guang-Chao; Lin, Yu-Shih; Elvert, Marcus; Heuer, Verena B; Hinrichs, Kai-Uwe (2014): Gas chromatographic analysis of methanol and ethanol in marine sediment pore waters: Validation and implementation of three pretreatment techniques. Marine Chemistry, 160, 82-90, https://doi.org/10.1016/j.marchem.2014.01.011
    Publication Date: 2023-03-03
    Description: Low-molecular-weight (LMW) alcohols are produced during the microbial degradation of organic matter from precursors such as lignin, pectin, and carbohydrates. The biogeochemical behavior of these alcohols in marine sediment is poorly constrained but potentially central to carbon cycling. Little is known about LMW alcohols in sediment pore waters because of their low concentrations and high water miscibility, both of which pose substantial analytical challenges. In this study, three alternative methods were adapted for the analysis of trace amounts of methanol and ethanol in small volumes of saline pore waters: direct aqueous injection (DAI), solid-phase microextraction (SPME), and purge and trap (P&T) in combination with gas chromatography (GC) coupled to either a flame ionization detector (FID) or a mass spectrometer (MS). Key modifications included the desalination of samples prior to DAI, the use of a threaded midget bubbler to purge small-volume samples under heated conditions and the addition of salt during P&T. All three methods were validated for LMW alcohol analysis, and the lowest detection limit (60 nM and 40 nM for methanol and ethanol, respectively) was achieved with the P&T technique. With these methods, ambient concentrations of volatile alcohols were determined for the first time in marine sediment pore waters of the Black Sea and the Gulf of Mexico. A strong correlation between the two compounds was observed and tentatively interpreted as being controlled by similar sources and sinks at the examined stations.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 197
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    PANGAEA
    In:  Supplement to: Kuhnert, Henning; Kuhlmann, Holger; Mohtadi, Mahyar; Meggers, Helge; Baumann, Karl-Heinz; Pätzold, Jürgen (2014): Holocene tropical western Indian Ocean sea surface temperatures in covariation with climatic changes in the Indonesian region. Paleoceanography, https://doi.org/10.1002/2013PA002555
    Publication Date: 2023-03-03
    Description: The sea surface temperature (SST) of the tropical Indian Ocean is a major component of global climate teleconnections. While the Holocene SST history is documented for regions affected by the Indian and Arabian monsoons, data from the near-equatorial western Indian Ocean are sparse. Reconstructing past zonal and meridional SST gradients requires additional information on past temperatures from the western boundary current region. We present a unique record of Holocene SST and thermocline depth variations in the tropical western Indian Ocean as documented in foraminiferal Mg/Ca ratios and d18O from a sediment core off northern Tanzania. For Mg/Ca and thermocline d18O, most variance is concentrated in the centennial to bicentennial periodicity band. On the millennial time scale, an early to mid-Holocene (~7.8-5.6 ka) warm phase is followed by a temperature drop by up to 2°C, leading to a mid-Holocene cool interval (5.6-4.2 ka). The shift is accompanied by an initial reduction in the difference between surface and thermocline foraminiferal d18O, consistent with the thickening of the mixed layer and suggestions of a strengthened Walker circulation. However, we cannot confirm the expected enhanced zonal SST gradient, as the cooling of similar magnitude had previously been found in SSTs from the upwelling region off Sumatra and in Flores air temperatures. The SST pattern probably reflects the tropical Indian Ocean expression of a large-scale climate anomaly rather than a positive Indian Ocean Dipole-like mean state.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 198
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    PANGAEA
    In:  Supplement to: Collins, James A; Schefuß, Enno; Govin, Aline; Mulitza, Stefan; Tiedemann, Ralf (2014): Insolation and glacial–interglacial control on southwestern African hydroclimate over the past 140 000 years. Earth and Planetary Science Letters, 398, 1-10, https://doi.org/10.1016/j.epsl.2014.04.034
    Publication Date: 2023-03-03
    Description: The past climate evolution of southwestern Africa is poorly understood and interpretations of past hydrological changes are sometimes contradictory. Here we present a record of leaf-wax dD and View the MathML source taken from a marine sediment core at 23°S off the coast of Namibia to reconstruct the hydrology and C3 versus C4 vegetation of southwestern Africa over the last 140 000 years (140 ka). We find lower leaf-wax dD and higher View the MathML source (more C4 grasses), which we interpret to indicate wetter Southern Hemisphere (SH) summer conditions and increased seasonality, during SH insolation maxima relative to minima and during the last glacial period relative to the Holocene and the last interglacial period. Nonetheless, the dominance of C4 grasses throughout the record indicates that the wet season remained brief and that this region has remained semi-arid. Our data suggest that past precipitation increases were derived from the tropics rather than from the winter westerlies. Comparison with a record from the Congo Basin indicates that hydroclimate in southwestern Africa has evolved in antiphase with that of central Africa over the last 140 ka.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 199
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    PANGAEA
    In:  Supplement to: Lantzsch, Hendrik; Hanebuth, Till J J; Chiessi, Cristiano Mazur; Schwenk, Tilmann; Violante, Roberto (2014): The high-supply, current-dominated continental margin of southeastern South America during the late Quaternary. Quaternary Research, 81(2), 339-354, https://doi.org/10.1016/j.yqres.2014.01.003
    Publication Date: 2023-03-03
    Description: The continental margin off the La Plata Estuary (SE South America) is characterized by high fluvial sediment supply and strong ocean currents. High-resolution sediment-acoustic data combined with sedimentary facies analysis, AMS-14C ages, and neodymium isotopic data allowed us to reconstruct late Quaternary sedimentary dynamics in relation to the two major sediment sources, the La Plata Estuary and the Argentine margin. Sediments from these two provinces show completely different dispersal patterns. We show that the northward-trending La Plata paleo-valley was the sole transit path for the huge volumes of fluvial material during lower sea levels. In contrast, material from the Argentine margin sector was transported northwards by the strong current system. Despite the large sediment volumes supplied by both sources, wide parts of the shelf were characterized by either persistent non-deposition or local short-term depocenter formation. The location and formation history of these depocenters were primarily controlled by the interplay of sea level with current strength and local morphology. The high sediment supply was of secondary importance to the stratigraphic construction, though locally resulting in high sedimentation rates. Thus, the shelf system off the La Plata Estuary can be considered as a hydrodynamic-controlled end-member.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 200
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    PANGAEA
    In:  Supplement to: Mohtadi, Mahyar; Prange, Matthias; Oppo, Delia W; De Pol-Holz, Ricardo; Merkel, Ute; Zhang, Xiao; Steinke, Stephan; Lückge, Andreas (2014): North Atlantic forcing of tropical Indian Ocean climate. Nature, 509(7498), 76-80, https://doi.org/10.1038/nature13196
    Publication Date: 2023-03-03
    Description: The response of the tropical climate in the Indian Ocean realm to abrupt climate change events in the North Atlantic Ocean is contentious. Repositioning of the intertropical convergence zone is thought to have been responsible for changes in tropical hydroclimate during North Atlantic cold spells1, 2, 3, 4, 5, but the dearth of high-resolution records outside the monsoon realm in the Indian Ocean precludes a full understanding of this remote relationship and its underlying mechanisms. Here we show that slowdowns of the Atlantic meridional overturning circulation during Heinrich stadials and the Younger Dryas stadial affected the tropical Indian Ocean hydroclimate through changes to the Hadley circulation including a southward shift in the rising branch (the intertropical convergence zone) and an overall weakening over the southern Indian Ocean. Our results are based on new, high-resolution sea surface temperature and seawater oxygen isotope records of well-dated sedimentary archives from the tropical eastern Indian Ocean for the past 45,000 years, combined with climate model simulations of Atlantic circulation slowdown under Marine Isotope Stages 2 and 3 boundary conditions. Similar conditions in the east and west of the basin rule out a zonal dipole structure as the dominant forcing of the tropical Indian Ocean hydroclimate of millennial-scale events. Results from our simulations and proxy data suggest dry conditions in the northern Indian Ocean realm and wet and warm conditions in the southern realm during North Atlantic cold spells.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 4 datasets
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