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  • 1
    facet.materialart.
    Unknown
    Giant protists in the global ocean (2016)
    PANGAEA
    In:  Supplement to: Biard, Tristan; Stemmann, Lars; Picheral, Marc; Mayot, Nicolas; Vandromme, Pieter; Hauss, Helena; Gorsky, G; Guidi, Lionel; Kiko, Rainer; Not, Fabrice (2016): In situ imaging reveals the biomass of giant protists in the global ocean. Nature, 532(7600), 504-507, https://doi.org/10.1038/nature17652
    Details
    Publication Date: 2023-11-09
    Description: Planktonic organisms play crucial roles in oceanic food webs and global biogeochemical cycles. Most of our knowledge about the ecological impact of large zooplankton stems from research on abundant and robust crustaceans, and in particular copepods. A number of the other organisms that comprise planktonic communities are fragile, and therefore hard to sample and quantify, meaning that their abundances and effects on oceanic ecosystems are poorly understood. Here, using data from a worldwide in situ imaging survey of plankton larger than 600 µm, we show that a substantial part of the biomass of this size fraction consists of giant protists belonging to the Rhizaria, a super-group of mostly fragile unicellular marine organisms that includes the taxa Phaeodaria and Radiolaria (for example, orders Collodaria and Acantharia). Globally, we estimate that rhizarians in the top 200 m of world oceans represent a standing stock of 0.089 Pg carbon, equivalent to 5.2% of the total oceanic biota carbon reservoir. In the vast oligotrophic intertropical open oceans, rhizarian biomass is estimated to be equivalent to that of all other mesozooplankton (plankton in the size range 0.2-20 mm). The photosymbiotic association of many rhizarians with microalgae may be an important factor in explaining their distribution. The previously overlooked importance of these giant protists across the widest ecosystem on the planet changes our understanding of marine planktonic ecosystems.
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Environmental context of a compilation about the distribution of large protists from the Infrakingdom Rhizaria in the global ocean (2016)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: [day/night] [water layer with no specific feature]; [day] [integrated]; [day] [mesopelagic zone (ENVO:00000213)]; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [near; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [also; [day] [water layer with no specific feature] [near; [day] [water layer with no specific feature] [NOT; [near station 95]; [night] [water layer with no specific feature]; [night] [water layer with no specific feature] [al; [night] [water layer with no specific feature] [ne; [RVSS]; Abu Dhabi to Muscat, Stations: none; ANT-XXV/3; Arctic Net 2009 Leg 2; Ascencion to Rio de Janiero, Stations: TARA_072-076; Athens to Beyrouth, Stations: TARA_027-028; Atseranana to Mamoudzou, Stations: TARA_053-054; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Bizerte to Naples, Stations: TARA_014; BOUM; Buenos Aires to Ushuaia, Stations: TARA_079b-083; calculated using satellite products obtained from the Oregon University; Campaign of event; CapeTown to Ascencion, Stations: TARA_067-071; CCGS Amundsen; Chlorophyll a; CTD_10; CTD_100; CTD_102; CTD_103; CTD_104; CTD_108; CTD_109; CTD_11; CTD_110; CTD_111; CTD_112; CTD_113; CTD_115; CTD_14; CTD_18; CTD_2; CTD_21; CTD_22; CTD_25; CTD_27; CTD_3; CTD_31; CTD_32; CTD_33; CTD_34; CTD_36; CTD_37; CTD_39; CTD_4; CTD_45; CTD_47; CTD_5; CTD_50; CTD_54; CTD_6; CTD_61; CTD_64; CTD_66; CTD_7; CTD_75; CTD_78; CTD_8; CTD_83; CTD_86; CTD_89; CTD_9; CTD_90; CTD_91; CTD_92; CTD_93; CTD_94; CTD_95; CTD_96; CTD_97; CTD_98; CTD_99; CTD/Rosette; CTD/Rosette, ultra clean; CTD001; CTD002; CTD003; CTD004; CTD005; CTD006; CTD007; CTD008; CTD009; CTD010; CTD011; CTD012; CTD013; CTD014; CTD015; CTD016; CTD017; CTD018; CTD019; CTD020; CTD021; CTD022; CTD023; CTD024; CTD025; CTD026; CTD027; CTD030; CTD032; CTD033; CTD034; CTD051; CTD052; CTD053; CTD054; CTD055; CTD056; CTD057; CTD058; CTD059; CTD060; CTD061; CTD062; CTD063; CTD067; CTD 10; CTD 11; CTD 12; CTD 13; CTD-13; CTD 14; CTD 15; CTD-15; CTD 16; CTD-16; CTD 17; CTD-17; CTD 18; CTD 19; CTD-19; CTD 20; CTD-20; CTD 22; CTD 23; CTD-23; CTD 24; CTD-24; CTD 25; CTD 26; CTD-26; CTD 27; CTD 28; CTD-28; CTD 29; CTD 3; CTD 30; CTD-30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD-35; CTD 36; CTD-38; CTD 4; CTD-40; CTD-41; CTD-42; CTD 43; CTD-43; CTD 44; CTD-44; CTD-46; CTD 47; CTD 48; CTD-48; CTD-49; CTD 5; CTD 51; CTD-51; CTD-52; CTD 53; CTD-53; CTD 54; CTD-55; CTD 56; CTD-56; CTD 57; CTD 58; CTD-58; CTD 59; CTD-59; CTD 6; CTD 60; CTD-60; CTD 61; CTD 62; CTD-62; CTD 63; CTD 64; CTD 65; CTD-65; CTD 66; CTD 67; CTD-67; CTD-69; CTD 7; CTD-70; CTD-71; CTD-72; CTD-73; CTD-74; CTD-76; CTD-77; CTD-79; CTD 8; CTD-80; CTD-82; CTD-84; CTD-85; CTD-87; CTD-88; CTD 9; CTD-RO; CTD-UC; Date/Time of event; determined from sea surface chlorophyll a; Diffuse attenuation coefficient at 490 nm; Dubrovnik to Athens, Stations: TARA_025-026; Dudinka to Pevek, Stations: TARA_182-192; Easter Island to Guayaquil, Stations: TARA_098-102; Environmental feature; Event label; Guayaquil to Puerto Ayora, Stations: TARA_103-106; Guayaquil to Totegegie, Stations: TARA_110-113; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; Ilulissat to Québec, Stations: TARA_208-210; IORVL/MALINA; L Atalante; LATALANTE_20080619T0813Z_001_CAST; LATALANTE_20080621T0016Z_002_CAST; LATALANTE_20080621T0354Z_003_CAST; LATALANTE_20080621T1039Z_004_CAST; LATALANTE_20080621T1941Z_005_CAST; LATALANTE_20080621T2256Z_006_CAST; LATALANTE_20080622T0551Z_007_CAST; LATALANTE_20080622T1347Z_008_CAST; LATALANTE_20080622T1656Z_009_CAST; LATALANTE_20080622T2335Z_010_CAST; LATALANTE_20080623T0753Z_011_CAST; LATALANTE_20080623T1124Z_012_CAST; LATALANTE_20080624T1216Z_016_CAST; LATALANTE_20080624T2317Z_017_CAST; LATALANTE_20080625T0228Z_018_CAST; LATALANTE_20080625T1527Z_019_CAST; LATALANTE_20080625T1643Z_020_CAST; LATALANTE_20080625T1740Z_021_CAST; LATALANTE_20080625T1842Z_022_CAST; LATALANTE_20080625T2001Z_023_CAST; LATALANTE_20080625T2107Z_024_CAST; LATALANTE_20080625T2209Z_025_CAST; LATALANTE_20080625T2333Z_026_CAST; LATALANTE_20080626T0031Z_027_CAST; LATALANTE_20080626T0130Z_028_CAST; LATALANTE_20080626T0244Z_029_CAST; LATALANTE_20080626T0339Z_030_CAST; LATALANTE_20080626T0430Z_031_CAST; LATALANTE_20080626T0526Z_032_CAST; LATALANTE_20080626T0629Z_033_CAST; LATALANTE_20080626T0734Z_034_CAST; LATALANTE_20080626T0906Z_035_CAST; LATALANTE_20080626T1003Z_036_CAST; LATALANTE_20080626T1104Z_037_CAST; LATALANTE_20080626T1202Z_038_CAST; LATALANTE_20080626T1310Z_039_CAST; LATALANTE_20080626T2200Z_040_CAST; LATALANTE_20080626T2252Z_041_CAST; LATALANTE_20080627T0025Z_042_CAST; LATALANTE_20080627T0322Z_043_CAST; LATALANTE_20080627T0612Z_044_CAST; LATALANTE_20080627T0941Z_047_CAST; LATALANTE_20080627T1215Z_048_CAST; LATALANTE_20080627T1505Z_049_CAST; LATALANTE_20080627T1804Z_050_CAST; LATALANTE_20080627T2102Z_051_CAST; LATALANTE_20080628T0002Z_052_CAST; LATALANTE_20080628T0304Z_053_CAST; LATALANTE_20080628T0603Z_054_CAST; LATALANTE_20080628T0914Z_055_CAST; LATALANTE_20080628T1210Z_056_CAST; LATALANTE_20080628T1459Z_057_CAST; LATALANTE_20080628T1758Z_058_CAST; LATALANTE_20080628T2053Z_059_CAST; LATALANTE_20080628T2212Z_060_CAST; LATALANTE_20080628T2315Z_061_CAST; LATALANTE_20080629T0031Z_062_CAST; LATALANTE_20080629T0155Z_063_CAST; LATALANTE_20080629T0302Z_064_CAST; LATALANTE_20080629T0604Z_065_CAST; LATALANTE_20080629T0855Z_066_CAST; LATALANTE_20080629T1512Z_068_CAST; LATALANTE_20080629T1802Z_069_CAST; LATALANTE_20080629T2120Z_070_CAST; LATALANTE_20080629T2303Z_071_CAST; LATALANTE_20080703T1125Z_072_CAST; LATALANTE_20080703T1301Z_073_CAST; LATALANTE_20080703T1359Z_074_CAST; LATALANTE_20080703T1459Z_075_CAST; LATALANTE_20080703T1553Z_076_CAST; LATALANTE_20080703T1648Z_077_CAST; LATALANTE_20080703T1739Z_078_CAST; LATALANTE_20080703T1840Z_079_CAST; LATALANTE_20080703T1949Z_080_CAST; LATALANTE_20080703T2057Z_081_CAST; LATALANTE_20080703T2303Z_082_CAST; LATALANTE_20080704T0000Z_083_CAST; LATALANTE_20080704T0120Z_084_CAST; LATALANTE_20080704T0402Z_085_CAST; LATALANTE_20080704T0703Z_088_CAST; LATALANTE_20080704T1305Z_090_CAST; LATALANTE_20080704T1603Z_091_CAST; LATALANTE_20080704T1854Z_092_CAST; LATALANTE_20080704T2210Z_093_CAST; LATALANTE_20080705T0103Z_094_CAST; LATALANTE_20080705T0401Z_095_CAST; LATALANTE_20080705T0701Z_096_CAST; LATALANTE_20080705T1012Z_097_CAST; LATALANTE_20080705T1305Z_098_CAST; LATALANTE_20080705T1645Z_099_CAST; LATALANTE_20080705T1901Z_100_CAST; LATALANTE_20080705T2159Z_101_CAST; LATALANTE_20080705T2315Z_102_CAST; LATALANTE_20080706T0016Z_103_CAST; LATALANTE_20080706T0138Z_104_CAST; LATALANTE_20080706T0400Z_105_CAST; LATALANTE_20080706T0441Z_106_CAST; LATALANTE_20080706T0703Z_107_CAST; LATALANTE_20080706T0830Z_108_CAST; LATALANTE_20080706T1007Z_109_CAST; LATALANTE_20080706T1257Z_110_CAST; LATALANTE_20080706T1602Z_111_CAST; LATALANTE_20080706T1919Z_112_CAST; LATALANTE_20080706T2204Z_113_CAST; LATALANTE_20080706T2341Z_114_CAST; LATALANTE_20080707T1008Z_115_CAST; LATALANTE_20080707T1916Z_216_CAST; LATALANTE_20080707T2042Z_116_CAST; LATALANTE_20080708T0017Z_117_CAST; LATALANTE_20080708T0805Z_118_CAST; LATALANTE_20080708T1559Z_119_CAST; LATALANTE_20080708T1742Z_120_CAST; LATALANTE_20080709T0103Z_121_CAST; LATALANTE_20080709T1056Z_122_CAST; LATALANTE_20080709T1235Z_123_CAST; LATALANTE_20080709T1900Z_124_CAST; LATALANTE_20080710T0826Z_125_CAST; LATALANTE_20080710T1001Z_126_CAST; LATALANTE_20080710T1613Z_127_CAST; LATALANTE_20080711T0218Z_128_CAST; LATALANTE_20080711T1120Z_130_CAST; LATALANTE_20080712T1051Z_131_CAST; LATALANTE_20080712T1209Z_132_CAST; LATALANTE_20080712T1307Z_133_CAST; LATALANTE_20080712T1405Z_134_CAST; LATALANTE_20080712T1530Z_135_CAST; LATALANTE_20080712T1626Z_136_CAST; LATALANTE_20080712T1721Z_137_CAST; LATALANTE_20080712T1840Z_138_CAST; LATALANTE_20080712T1944Z_139_CAST; LATALANTE_20080712T2045Z_140_CAST; LATALANTE_20080712T2208Z_141_CAST;
    Type: Dataset
    Format: text/tab-separated-values, 6773 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Biomass of large protists from the Infrakingdom Rhizaria in the global ocean (2016)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: [day/night] [water layer with no specific feature]; [day] [integrated]; [day] [mesopelagic zone (ENVO:00000213)]; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [near; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [also; [day] [water layer with no specific feature] [near; [day] [water layer with no specific feature] [NOT; [near station 95]; [night] [water layer with no specific feature]; [night] [water layer with no specific feature] [al; [night] [water layer with no specific feature] [ne; [RVSS]; Abu Dhabi to Muscat, Stations: none; Acantharia, biomass as carbon; ANT-XXV/3; Arctic Net 2009 Leg 2; Ascencion to Rio de Janiero, Stations: TARA_072-076; Athens to Beyrouth, Stations: TARA_027-028; Atseranana to Mamoudzou, Stations: TARA_053-054; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Bizerte to Naples, Stations: TARA_014; BOUM; Buenos Aires to Ushuaia, Stations: TARA_079b-083; Campaign of event; CapeTown to Ascencion, Stations: TARA_067-071; CCGS Amundsen; Collodaria, biomass as carbon; converted to carbon from individual biovolume measurements (Biard et al. 2016); CTD_10; CTD_100; CTD_102; CTD_103; CTD_104; CTD_108; CTD_109; CTD_11; CTD_110; CTD_111; CTD_112; CTD_113; CTD_115; CTD_14; CTD_18; CTD_2; CTD_21; CTD_22; CTD_25; CTD_27; CTD_3; CTD_31; CTD_32; CTD_33; CTD_34; CTD_36; CTD_37; CTD_39; CTD_4; CTD_45; CTD_47; CTD_5; CTD_50; CTD_54; CTD_6; CTD_61; CTD_64; CTD_66; CTD_7; CTD_75; CTD_78; CTD_8; CTD_83; CTD_86; CTD_89; CTD_9; CTD_90; CTD_91; CTD_92; CTD_93; CTD_94; CTD_95; CTD_96; CTD_97; CTD_98; CTD_99; CTD/Rosette; CTD/Rosette, ultra clean; CTD001; CTD002; CTD003; CTD004; CTD005; CTD006; CTD007; CTD008; CTD009; CTD010; CTD011; CTD012; CTD013; CTD014; CTD015; CTD016; CTD017; CTD018; CTD019; CTD020; CTD021; CTD022; CTD023; CTD024; CTD025; CTD026; CTD027; CTD030; CTD032; CTD033; CTD034; CTD051; CTD052; CTD053; CTD054; CTD055; CTD056; CTD057; CTD058; CTD059; CTD060; CTD061; CTD062; CTD063; CTD067; CTD 10; CTD 11; CTD 12; CTD 13; CTD-13; CTD 14; CTD 15; CTD-15; CTD 16; CTD-16; CTD 17; CTD-17; CTD 18; CTD 19; CTD-19; CTD 20; CTD-20; CTD 22; CTD 23; CTD-23; CTD 24; CTD-24; CTD 25; CTD 26; CTD-26; CTD 27; CTD 28; CTD-28; CTD 29; CTD 3; CTD 30; CTD-30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD-35; CTD 36; CTD-38; CTD 4; CTD-40; CTD-41; CTD-42; CTD 43; CTD-43; CTD 44; CTD-44; CTD-46; CTD 47; CTD 48; CTD-48; CTD-49; CTD 5; CTD 51; CTD-51; CTD-52; CTD 53; CTD-53; CTD 54; CTD-55; CTD 56; CTD-56; CTD 57; CTD 58; CTD-58; CTD 59; CTD-59; CTD 6; CTD 60; CTD-60; CTD 61; CTD 62; CTD-62; CTD 63; CTD 64; CTD 65; CTD-65; CTD 66; CTD 67; CTD-67; CTD-69; CTD 7; CTD-70; CTD-71; CTD-72; CTD-73; CTD-74; CTD-76; CTD-77; CTD-79; CTD 8; CTD-80; CTD-82; CTD-84; CTD-85; CTD-87; CTD-88; CTD 9; CTD-RO; CTD-UC; Date/Time of event; Depth, bottom/max; Depth, nominal; Depth, top/min; Dubrovnik to Athens, Stations: TARA_025-026; Dudinka to Pevek, Stations: TARA_182-192; Easter Island to Guayaquil, Stations: TARA_098-102; Event label; Guayaquil to Puerto Ayora, Stations: TARA_103-106; Guayaquil to Totegegie, Stations: TARA_110-113; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; Ilulissat to Québec, Stations: TARA_208-210; IORVL/MALINA; L Atalante; LATALANTE_20080619T0813Z_001_CAST; LATALANTE_20080621T0016Z_002_CAST; LATALANTE_20080621T0354Z_003_CAST; LATALANTE_20080621T1039Z_004_CAST; LATALANTE_20080621T1941Z_005_CAST; LATALANTE_20080621T2256Z_006_CAST; LATALANTE_20080622T0551Z_007_CAST; LATALANTE_20080622T1347Z_008_CAST; LATALANTE_20080622T1656Z_009_CAST; LATALANTE_20080622T2335Z_010_CAST; LATALANTE_20080623T0753Z_011_CAST; LATALANTE_20080623T1124Z_012_CAST; LATALANTE_20080624T1216Z_016_CAST; LATALANTE_20080624T2317Z_017_CAST; LATALANTE_20080625T0228Z_018_CAST; LATALANTE_20080625T1527Z_019_CAST; LATALANTE_20080625T1643Z_020_CAST; LATALANTE_20080625T1740Z_021_CAST; LATALANTE_20080625T1842Z_022_CAST; LATALANTE_20080625T2001Z_023_CAST; LATALANTE_20080625T2107Z_024_CAST; LATALANTE_20080625T2209Z_025_CAST; LATALANTE_20080625T2333Z_026_CAST; LATALANTE_20080626T0031Z_027_CAST; LATALANTE_20080626T0130Z_028_CAST; LATALANTE_20080626T0244Z_029_CAST; LATALANTE_20080626T0339Z_030_CAST; LATALANTE_20080626T0430Z_031_CAST; LATALANTE_20080626T0526Z_032_CAST; LATALANTE_20080626T0629Z_033_CAST; LATALANTE_20080626T0734Z_034_CAST; LATALANTE_20080626T0906Z_035_CAST; LATALANTE_20080626T1003Z_036_CAST; LATALANTE_20080626T1104Z_037_CAST; LATALANTE_20080626T1202Z_038_CAST; LATALANTE_20080626T1310Z_039_CAST; LATALANTE_20080626T2200Z_040_CAST; LATALANTE_20080626T2252Z_041_CAST; LATALANTE_20080627T0025Z_042_CAST; LATALANTE_20080627T0322Z_043_CAST; LATALANTE_20080627T0612Z_044_CAST; LATALANTE_20080627T0941Z_047_CAST; LATALANTE_20080627T1215Z_048_CAST; LATALANTE_20080627T1505Z_049_CAST; LATALANTE_20080627T1804Z_050_CAST; LATALANTE_20080627T2102Z_051_CAST; LATALANTE_20080628T0002Z_052_CAST; LATALANTE_20080628T0304Z_053_CAST; LATALANTE_20080628T0603Z_054_CAST; LATALANTE_20080628T0914Z_055_CAST; LATALANTE_20080628T1210Z_056_CAST; LATALANTE_20080628T1459Z_057_CAST; LATALANTE_20080628T1758Z_058_CAST; LATALANTE_20080628T2053Z_059_CAST; LATALANTE_20080628T2212Z_060_CAST; LATALANTE_20080628T2315Z_061_CAST; LATALANTE_20080629T0031Z_062_CAST; LATALANTE_20080629T0155Z_063_CAST; LATALANTE_20080629T0302Z_064_CAST; LATALANTE_20080629T0604Z_065_CAST; LATALANTE_20080629T0855Z_066_CAST; LATALANTE_20080629T1512Z_068_CAST; LATALANTE_20080629T1802Z_069_CAST; LATALANTE_20080629T2120Z_070_CAST; LATALANTE_20080629T2303Z_071_CAST; LATALANTE_20080703T1125Z_072_CAST; LATALANTE_20080703T1301Z_073_CAST; LATALANTE_20080703T1359Z_074_CAST; LATALANTE_20080703T1459Z_075_CAST; LATALANTE_20080703T1553Z_076_CAST; LATALANTE_20080703T1648Z_077_CAST; LATALANTE_20080703T1739Z_078_CAST; LATALANTE_20080703T1840Z_079_CAST; LATALANTE_20080703T1949Z_080_CAST; LATALANTE_20080703T2057Z_081_CAST; LATALANTE_20080703T2303Z_082_CAST; LATALANTE_20080704T0000Z_083_CAST; LATALANTE_20080704T0120Z_084_CAST; LATALANTE_20080704T0402Z_085_CAST; LATALANTE_20080704T0703Z_088_CAST; LATALANTE_20080704T1305Z_090_CAST; LATALANTE_20080704T1603Z_091_CAST; LATALANTE_20080704T1854Z_092_CAST; LATALANTE_20080704T2210Z_093_CAST; LATALANTE_20080705T0103Z_094_CAST; LATALANTE_20080705T0401Z_095_CAST; LATALANTE_20080705T0701Z_096_CAST; LATALANTE_20080705T1012Z_097_CAST; LATALANTE_20080705T1305Z_098_CAST; LATALANTE_20080705T1645Z_099_CAST; LATALANTE_20080705T1901Z_100_CAST; LATALANTE_20080705T2159Z_101_CAST; LATALANTE_20080705T2315Z_102_CAST; LATALANTE_20080706T0016Z_103_CAST; LATALANTE_20080706T0138Z_104_CAST; LATALANTE_20080706T0400Z_105_CAST; LATALANTE_20080706T0441Z_106_CAST; LATALANTE_20080706T0703Z_107_CAST; LATALANTE_20080706T0830Z_108_CAST; LATALANTE_20080706T1007Z_109_CAST; LATALANTE_20080706T1257Z_110_CAST; LATALANTE_20080706T1602Z_111_CAST; LATALANTE_20080706T1919Z_112_CAST; LATALANTE_20080706T2204Z_113_CAST; LATALANTE_20080706T2341Z_114_CAST; LATALANTE_20080707T1008Z_115_CAST; LATALANTE_20080707T1916Z_216_CAST; LATALANTE_20080707T2042Z_116_CAST; LATALANTE_20080708T0017Z_117_CAST; LATALANTE_20080708T0805Z_118_CAST; LATALANTE_20080708T1559Z_119_CAST; LATALANTE_20080708T1742Z_120_CAST; LATALANTE_20080709T0103Z_121_CAST; LATALANTE_20080709T1056Z_122_CAST; LATALANTE_20080709T1235Z_123_CAST; LATALANTE_20080709T1900Z_124_CAST; LATALANTE_20080710T0826Z_125_CAST; LATALANTE_20080710T1001Z_126_CAST; LATALANTE_20080710T1613Z_127_CAST; LATALANTE_20080711T0218Z_128_CAST; LATALANTE_20080711T1120Z_130_CAST; LATALANTE_20080712T1051Z_131_CAST; LATALANTE_20080712T1209Z_132_CAST; LATALANTE_20080712T1307Z_133_CAST; LATALANTE_20080712T1405Z_134_CAST; LATALANTE_20080712T1530Z_135_CAST; LATALANTE_20080712T1626Z_136_CAST; LATALANTE_20080712T1721Z_137_CAST; LATALANTE_20080712T1840Z_138_CAST; LATALANTE_20080712T1944Z_139_CAST; LATALANTE_20080712T2045Z_140_CAST; LATALANTE_20080712T2208Z_141_CAST;
    Type: Dataset
    Format: text/tab-separated-values, 24573 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Abundance of large protists from the Infrakingdom Rhizaria in the global ocean (2016)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: [day/night] [deep chlorophyll maximum layer (ENVO:; [day/night] [mesopelagic zone (ENVO:00000213)]; [day/night] [water layer with no specific feature]; [day] [200 m]; [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [epipelagic mixed layer (ENVO:01000061)]; [day] [integrated]; [day] [mesopelagic zone (ENVO:00000213)]; [day] [mesopelagic zone (ENVO:00000213)] [also lab; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [near; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [also; [day] [water layer with no specific feature] [Lago; [day] [water layer with no specific feature] [near; [day] [water layer with no specific feature] [NOT; [near station 95]; [night] [deep chlorophyll maximum layer (ENVO:0100; [night] [mesopelagic zone (ENVO:00000213)]; [night] [surface water layer (ENVO:00002042)] [nea; [night] [water layer with no specific feature]; [night] [water layer with no specific feature] [al; [night] [water layer with no specific feature] [ne; [RVSS]; Abu Dhabi to Muscat, Stations: none; Acantharia; ANT-XXV/3; Arctic Net 2009 Leg 2; Ascencion to Rio de Janiero, Stations: TARA_072-076; Athens to Beyrouth, Stations: TARA_027-028; Atseranana to Mamoudzou, Stations: TARA_053-054; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Bizerte to Naples, Stations: TARA_014; BOUM; Buenos Aires to Ushuaia, Stations: TARA_079b-083; Campaign of event; CapeTown to Ascencion, Stations: TARA_067-071; CCGS Amundsen; Collodaria; CTD_10; CTD_100; CTD_102; CTD_103; CTD_104; CTD_108; CTD_109; CTD_11; CTD_110; CTD_111; CTD_112; CTD_113; CTD_115; CTD_14; CTD_18; CTD_2; CTD_21; CTD_22; CTD_25; CTD_27; CTD_3; CTD_31; CTD_32; CTD_33; CTD_34; CTD_36; CTD_37; CTD_39; CTD_4; CTD_45; CTD_47; CTD_5; CTD_50; CTD_54; CTD_6; CTD_61; CTD_64; CTD_66; CTD_7; CTD_75; CTD_78; CTD_8; CTD_83; CTD_86; CTD_89; CTD_9; CTD_90; CTD_91; CTD_92; CTD_93; CTD_94; CTD_95; CTD_96; CTD_97; CTD_98; CTD_99; CTD/Rosette; CTD/Rosette, ultra clean; CTD001; CTD002; CTD003; CTD004; CTD005; CTD006; CTD007; CTD008; CTD009; CTD010; CTD011; CTD012; CTD013; CTD014; CTD015; CTD016; CTD017; CTD018; CTD019; CTD020; CTD021; CTD022; CTD023; CTD024; CTD025; CTD026; CTD027; CTD030; CTD032; CTD033; CTD034; CTD051; CTD052; CTD053; CTD054; CTD055; CTD056; CTD057; CTD058; CTD059; CTD060; CTD061; CTD062; CTD063; CTD067; CTD 10; CTD 11; CTD 12; CTD 13; CTD-13; CTD 14; CTD 15; CTD-15; CTD 16; CTD-16; CTD 17; CTD-17; CTD 18; CTD 19; CTD-19; CTD 20; CTD-20; CTD 22; CTD 23; CTD-23; CTD 24; CTD-24; CTD 25; CTD 26; CTD-26; CTD 27; CTD 28; CTD-28; CTD 29; CTD 3; CTD 30; CTD-30; CTD 31; CTD 32; CTD 33; CTD 34; CTD 35; CTD-35; CTD 36; CTD-38; CTD 4; CTD-40; CTD-41; CTD-42; CTD 43; CTD-43; CTD 44; CTD-44; CTD-46; CTD 47; CTD 48; CTD-48; CTD-49; CTD 5; CTD 51; CTD-51; CTD-52; CTD 53; CTD-53; CTD 54; CTD-55; CTD 56; CTD-56; CTD 57; CTD 58; CTD-58; CTD 59; CTD-59; CTD 6; CTD 60; CTD-60; CTD 61; CTD 62; CTD-62; CTD 63; CTD 64; CTD 65; CTD-65; CTD 66; CTD 67; CTD-67; CTD-69; CTD 7; CTD-70; CTD-71; CTD-72; CTD-73; CTD-74; CTD-76; CTD-77; CTD-79; CTD 8; CTD-80; CTD-82; CTD-84; CTD-85; CTD-87; CTD-88; CTD 9; CTD-RO; CTD-UC; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Device type; Dubrovnik to Athens, Stations: TARA_025-026; Dudinka to Pevek, Stations: TARA_182-192; Easter Island to Guayaquil, Stations: TARA_098-102; Event label; File name; Guayaquil to Puerto Ayora, Stations: TARA_103-106; Guayaquil to Totegegie, Stations: TARA_110-113; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; Ilulissat to Québec, Stations: TARA_208-210; IORVL/MALINA; L Atalante; LATALANTE_20080619T0813Z_001_CAST; LATALANTE_20080621T0016Z_002_CAST; LATALANTE_20080621T0354Z_003_CAST; LATALANTE_20080621T1039Z_004_CAST; LATALANTE_20080621T1941Z_005_CAST; LATALANTE_20080621T2256Z_006_CAST; LATALANTE_20080622T0551Z_007_CAST; LATALANTE_20080622T1347Z_008_CAST; LATALANTE_20080622T1656Z_009_CAST; LATALANTE_20080622T2335Z_010_CAST; LATALANTE_20080623T0753Z_011_CAST; LATALANTE_20080623T1124Z_012_CAST; LATALANTE_20080624T1216Z_016_CAST; LATALANTE_20080624T2317Z_017_CAST; LATALANTE_20080625T0228Z_018_CAST; LATALANTE_20080625T1527Z_019_CAST; LATALANTE_20080625T1643Z_020_CAST; LATALANTE_20080625T1740Z_021_CAST; LATALANTE_20080625T1842Z_022_CAST; LATALANTE_20080625T2001Z_023_CAST; LATALANTE_20080625T2107Z_024_CAST; LATALANTE_20080625T2209Z_025_CAST; LATALANTE_20080625T2333Z_026_CAST; LATALANTE_20080626T0031Z_027_CAST; LATALANTE_20080626T0130Z_028_CAST; LATALANTE_20080626T0244Z_029_CAST; LATALANTE_20080626T0339Z_030_CAST; LATALANTE_20080626T0430Z_031_CAST; LATALANTE_20080626T0526Z_032_CAST; LATALANTE_20080626T0629Z_033_CAST; LATALANTE_20080626T0734Z_034_CAST; LATALANTE_20080626T0906Z_035_CAST; LATALANTE_20080626T1003Z_036_CAST; LATALANTE_20080626T1104Z_037_CAST; LATALANTE_20080626T1202Z_038_CAST; LATALANTE_20080626T1310Z_039_CAST; LATALANTE_20080626T2200Z_040_CAST; LATALANTE_20080626T2252Z_041_CAST; LATALANTE_20080627T0025Z_042_CAST; LATALANTE_20080627T0322Z_043_CAST; LATALANTE_20080627T0612Z_044_CAST; LATALANTE_20080627T0941Z_047_CAST; LATALANTE_20080627T1215Z_048_CAST; LATALANTE_20080627T1505Z_049_CAST; LATALANTE_20080627T1804Z_050_CAST; LATALANTE_20080627T2102Z_051_CAST; LATALANTE_20080628T0002Z_052_CAST; LATALANTE_20080628T0304Z_053_CAST; LATALANTE_20080628T0603Z_054_CAST; LATALANTE_20080628T0914Z_055_CAST; LATALANTE_20080628T1210Z_056_CAST; LATALANTE_20080628T1459Z_057_CAST; LATALANTE_20080628T1758Z_058_CAST; LATALANTE_20080628T2053Z_059_CAST; LATALANTE_20080628T2212Z_060_CAST; LATALANTE_20080628T2315Z_061_CAST; LATALANTE_20080629T0031Z_062_CAST; LATALANTE_20080629T0155Z_063_CAST; LATALANTE_20080629T0302Z_064_CAST; LATALANTE_20080629T0604Z_065_CAST; LATALANTE_20080629T0855Z_066_CAST; LATALANTE_20080629T1512Z_068_CAST; LATALANTE_20080629T1802Z_069_CAST; LATALANTE_20080629T2120Z_070_CAST; LATALANTE_20080629T2303Z_071_CAST; LATALANTE_20080703T1125Z_072_CAST; LATALANTE_20080703T1301Z_073_CAST; LATALANTE_20080703T1359Z_074_CAST; LATALANTE_20080703T1459Z_075_CAST; LATALANTE_20080703T1553Z_076_CAST; LATALANTE_20080703T1648Z_077_CAST; LATALANTE_20080703T1739Z_078_CAST; LATALANTE_20080703T1840Z_079_CAST; LATALANTE_20080703T1949Z_080_CAST; LATALANTE_20080703T2057Z_081_CAST; LATALANTE_20080703T2303Z_082_CAST; LATALANTE_20080704T0000Z_083_CAST; LATALANTE_20080704T0120Z_084_CAST; LATALANTE_20080704T0402Z_085_CAST; LATALANTE_20080704T0703Z_088_CAST; LATALANTE_20080704T1305Z_090_CAST; LATALANTE_20080704T1603Z_091_CAST; LATALANTE_20080704T1854Z_092_CAST; LATALANTE_20080704T2210Z_093_CAST; LATALANTE_20080705T0103Z_094_CAST; LATALANTE_20080705T0401Z_095_CAST; LATALANTE_20080705T0701Z_096_CAST; LATALANTE_20080705T1012Z_097_CAST; LATALANTE_20080705T1305Z_098_CAST; LATALANTE_20080705T1645Z_099_CAST; LATALANTE_20080705T1901Z_100_CAST; LATALANTE_20080705T2159Z_101_CAST; LATALANTE_20080705T2315Z_102_CAST; LATALANTE_20080706T0016Z_103_CAST; LATALANTE_20080706T0138Z_104_CAST; LATALANTE_20080706T0400Z_105_CAST; LATALANTE_20080706T0441Z_106_CAST; LATALANTE_20080706T0703Z_107_CAST; LATALANTE_20080706T0830Z_108_CAST; LATALANTE_20080706T1007Z_109_CAST; LATALANTE_20080706T1257Z_110_CAST; LATALANTE_20080706T1602Z_111_CAST; LATALANTE_20080706T1919Z_112_CAST; LATALANTE_20080706T2204Z_113_CAST; LATALANTE_20080706T2341Z_114_CAST; LATALANTE_20080707T1008Z_115_CAST; LATALANTE_20080707T1916Z_216_CAST; LATALANTE_20080707T2042Z_116_CAST; LATALANTE_20080708T0017Z_117_CAST; LATALANTE_20080708T0805Z_118_CAST; LATALANTE_20080708T1559Z_119_CAST; LATALANTE_20080708T1742Z_120_CAST; LATALANTE_20080709T0103Z_121_CAST; LATALANTE_20080709T1056Z_122_CAST; LATALANTE_20080709T1235Z_123_CAST; LATALANTE_20080709T1900Z_124_CAST; LATALANTE_20080710T0826Z_125_CAST; LATALANTE_20080710T1001Z_126_CAST; LATALANTE_20080710T1613Z_127_CAST; LATALANTE_20080711T0218Z_128_CAST; LATALANTE_20080711T1120Z_130_CAST; LATALANTE_20080712T1051Z_131_CAST;
    Type: Dataset
    Format: text/tab-separated-values, 1145392 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Abundance of metabardodes and OTUs, and contextual data of samples selected for a study of the biogeography and diversity of Collodaria (Radiolaria) in the global ocean (2017)
    PANGAEA
    In:  Supplement to: Biard, Tristan; Bigeard, Estelle; Audic, Stephane; Poulain, Julie; Gutiérrez-Rodríguez, Andrés; Stemmann, Lars; Not, Fabrice (2017): Biogeography and diversity of Collodaria (Radiolaria) in the global ocean. Nature, https://doi.org/10.1038/ismej.2017.12
    Details
    Publication Date: 2024-02-16
    Description: The present data set provides context to 653 samples (including 4 size fractions, 0.8-5 µm, 5-20 µm, 20-180 µm and 180-2000 µm) collected in the [SRF] surface water layer (ENVO:00010504) and the [DCM] deep chlorophyll maximum layer (ENVO:01000326) at 113 sampling stations during the Tara Oceans expedition. The present data set also provides links to the corresponding nucleotides data at the European Nucleotides Archive and the abundance of metabarcodes and OTUs for Rhizaria and Collodaria from the 113 sampling stations. Additional context can be found in the related publications and source data sets.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 269.4 kBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Unknown
    The global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5 - version 1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Particle size distribution data was collected during multiple cruises globally with several regularly intercalibrated Underwater Vision Profilers, Version 5 (UVP5; Picheral et al 2010). During the respective cruises, the UVP5 was mounted on the CTD-Rosette or as a standalone instrument and deployed in vertical mode. The UVP5 takes pictures of an illuminated watervolume of about 1 Liter every few milliseconds. Imaged items are counted, their size measured and abundance and biovolume of the particles is calculated. For different size bins, this information is summarized in the columns "Particle concentration" and "Particle biovolume". For further details please refer to Kiko et al. (in prep.) "A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5".
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; global; in situ imaging; particle distribution; SFB754; UVP5
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Unknown
    In situ imaging reveals the biomass of giant protists in the global ocean (2016)
    Nature Research
    In:  Nature, 532 (7600). pp. 504-507.
    Details
    Publication Date: 2019-09-23
    Description: Planktonic organisms play crucial roles in oceanic food webs and global biogeochemical cycles(1,2). Most of our knowledge about the ecological impact of large zooplankton stems from research on abundant and robust crustaceans, and in particular copepods(3,4). A number of the other organisms that comprise planktonic communities are fragile, and therefore hard to sample and quantify, meaning that their abundances and effects on oceanic ecosystems are poorly understood. Here, using data from a worldwide in situ imaging survey of plankton larger than 600 mu m, we show that a substantial part of the biomass of this size fraction consists of giant protists belonging to the Rhizaria, a super-group of mostly fragile unicellular marine organisms that includes the taxa Phaeodaria and Radiolaria ( for example, orders Collodaria and Acantharia). Globally, we estimate that rhizarians in the top 200 m of world oceans represent a standing stock of 0.089 Pg carbon, equivalent to 5.2% of the total oceanic biota carbon reservoir(5). In the vast oligotrophic intertropical open oceans, rhizarian biomass is estimated to be equivalent to that of all other mesozooplankton ( plankton in the size range 0.2-20 mm). The photosymbiotic association of many rhizarians with microalgae may be an important factor in explaining their distribution. The previously overlooked importance of these giant protists across the widest ecosystem on the planet(6) changes our understanding of marine planktonic ecosystems.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1038/nature17652
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 8
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    Unknown
    Global Distribution of Zooplankton Biomass Estimated by In Situ Imaging and Machine Learning (2022)
    Frontiers
    Details
    Publication Date: 2024-02-07
    Description: Zooplankton plays a major role in ocean food webs and biogeochemical cycles, and provides major ecosystem services as a main driver of the biological carbon pump and in sustaining fish communities. Zooplankton is also sensitive to its environment and reacts to its changes. To better understand the importance of zooplankton, and to inform prognostic models that try to represent them, spatially-resolved biomass estimates of key plankton taxa are desirable. In this study we predict, for the first time, the global biomass distribution of 19 zooplankton taxa (1-50 mm Equivalent Spherical Diameter) using observations with the Underwater Vision Profiler 5, a quantitative in situ imaging instrument. After classification of 466,872 organisms from more than 3,549 profiles (0-500 m) obtained between 2008 and 2019 throughout the globe, we estimated their individual biovolumes and converted them to biomass using taxa-specific conversion factors. We then associated these biomass estimates with climatologies of environmental variables (temperature, salinity, oxygen, etc.), to build habitat models using boosted regression trees. The results reveal maximal zooplankton biomass values around 60 degrees N and 55 degrees S as well as minimal values around the oceanic gyres. An increased zooplankton biomass is also predicted for the equator. Global integrated biomass (0-500 m) was estimated at 0.403 PgC. It was largely dominated by Copepoda (35.7%, mostly in polar regions), followed by Eumalacostraca (26.6%) Rhizaria (16.4%, mostly in the intertropical convergence zone). The machine learning approach used here is sensitive to the size of the training set and generates reliable predictions for abundant groups such as Copepoda (R2 approximate to 20-66%) but not for rare ones (Ctenophora, Cnidaria, R2 〈 5%). Still, this study offers a first protocol to estimate global, spatially resolved zooplankton biomass and community composition from in situ imaging observations of individual organisms. The underlying dataset covers a period of 10 years while approaches that rely on net samples utilized datasets gathered since the 1960s. Increased use of digital imaging approaches should enable us to obtain zooplankton biomass distribution estimates at basin to global scales in shorter time frames in the future.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 9
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    Unknown
    Three major mesoplanktonic communities resolved by in situ imaging in the upper 500 m of the global ocean (2023)
    Wiley
    Details
    Publication Date: 2024-02-07
    Description: Aim: The distribution of mesoplankton communities has been poorly studied at global scale, especially from in situ instruments. This study aims to (1) describe the global distribution of mesoplankton communities in relation to their environment and (2) assess the ability of various environmental-based ocean regionalizations to explain the distribution of these communities. Location: Global ocean, 0–500 m depth. Time Period: 2008–2019. Major Taxa Studied: Twenty-eight groups of large mesoplanktonic and macroplanktonic organisms, covering Metazoa, Rhizaria and Cyanobacteria. Methods: From a global data set of 2500 vertical profiles making use of the Underwater Vision Profiler 5 (UVP5), an in situ imaging instrument, we studied the global distribution of large (〉600 μm) mesoplanktonic organisms. Among the 6.8 million imaged objects, 330,000 were large zooplanktonic organisms and phytoplankton colonies, the rest consisting of marine snow particles. Multivariate ordination (PCA) and clustering were used to describe patterns in community composition, while comparison with existing regionalizations was performed with regression methods (RDA). Results: Within the observed size range, epipelagic plankton communities were Trichodesmium-enriched in the intertropical Atlantic, Copepoda-enriched at high latitudes and in upwelling areas, and Rhizaria-enriched in oligotrophic areas. In the mesopelagic layer, Copepoda-enriched communities were also found at high latitudes and in the Atlantic Ocean, while Rhizaria-enriched communities prevailed in the Peruvian upwelling system and a few mixed communities were found elsewhere. The comparison between the distribution of these communities and a set of existing regionalizations of the ocean suggested that the structure of plankton communities described above is mostly driven by basin-level environmental conditions. Main Conclusions: In both layers, three types of plankton communities emerged and seemed to be mostly driven by regional environmental conditions. This work sheds light on the role not only of metazoans, but also of unexpected large protists and cyanobacteria in structuring large mesoplankton communities.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 10
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    Unknown
    A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5 (2022)
    Copernicus Publications (EGU)
    Details
    Publication Date: 2024-04-18
    Description: Marine particles of different nature are found throughout the global ocean. The term "marine particles" describes detritus aggregates and fecal pellets as well as bacterioplankton, phytoplankton, zooplankton and nekton. Here, we present a global particle size distribution dataset obtained with several Underwater Vision Profiler 5 (UVP5) camera systems. Overall, within the 64 mu m to about 50 mm size range covered by the UVP5, detrital particles are the most abundant component of all marine particles; thus, measurements of the particle size distribution with the UVP5 can yield important information on detrital particle dynamics. During deployment, which is possible down to 6000 m depth, the UVP5 images a volume of about 1 L at a frequency of 6 to 20 Hz. Each image is segmented in real time, and size measurements of particles are automatically stored. All UVP5 units used to generate the dataset presented here were inter-calibrated using a UVP5 high-definition unit as reference. Our consistent particle size distribution dataset contains 8805 vertical profiles collected between 19 June 2008 and 23 November 2020. All major ocean basins, as well as the Mediterranean Sea and the Baltic Sea, were sampled. A total of 19 % of all profiles had a maximum sampling depth shallower than 200 dbar, 38 % sampled at least the upper 1000 dbar depth range and 11 % went down to at least 3000 dbar depth. First analysis of the particle size distribution dataset shows that particle abundance is found to be high at high latitudes and in coastal areas where surface productivity or continental inputs are elevated. The lowest values are found in the deep ocean and in the oceanic gyres. Our dataset should be valuable for more in-depth studies that focus on the analysis of regional, temporal and global patterns of particle size distribution and flux as well as for the development and adjustment of regional and global biogeochemical models. The marine particle size distribution dataset (Kiko et al., 2021) is available at https://doi.org/10.1594/PANGAEA.924375.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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