Phytoplankton size classes derived from pigment data in surface waters along 170°W (South Pacific Ocean) in 2016
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| Autori principali: | , , , , |
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2017
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| _version_ | 1867171270331727872 |
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| author | Raes, Eric J Clementson, Lesley Bodrossy, Levente Strutton, Pete Waite, Anya M |
| author_facet | Raes, Eric J Clementson, Lesley Bodrossy, Levente Strutton, Pete Waite, Anya M |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Phytoplankton size classes or functional types calculated from diagnostic pigments according to Hirata et al. (2011) |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_884049 |
| institution | PANGAEA |
| language | en |
| publishDate | 2017 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Phytoplankton size classes derived from pigment data in surface waters along 170°W (South Pacific Ocean) in 2016 Raes, Eric J Clementson, Lesley Bodrossy, Levente Strutton, Pete Waite, Anya M AWI_BioOce; Biological Oceanography @ AWI; Calculated; Date/Time of event; DEPTH, water; Diatoms, proportion of diagnostic pigments; Dinoflagellates, proportion of diagnostic pigments; Event label; IN2016-V03; IN2016-V03_102; IN2016-V03_103; IN2016-V03_105; IN2016-V03_106; IN2016-V03_107; IN2016-V03_109; IN2016-V03_110; IN2016-V03_114; IN2016-V03_115; IN2016-V03_118; IN2016-V03_119; IN2016-V03_12; IN2016-V03_121; IN2016-V03_122; IN2016-V03_123; IN2016-V03_125; IN2016-V03_126; IN2016-V03_128; IN2016-V03_129; IN2016-V03_13; IN2016-V03_131; IN2016-V03_132; IN2016-V03_133; IN2016-V03_135; IN2016-V03_136; IN2016-V03_139; IN2016-V03_14; IN2016-V03_140; IN2016-V03_15; IN2016-V03_16; IN2016-V03_17; IN2016-V03_18; IN2016-V03_2; IN2016-V03_20; IN2016-V03_21; IN2016-V03_24; IN2016-V03_26; IN2016-V03_27; IN2016-V03_29; IN2016-V03_3; IN2016-V03_30; IN2016-V03_31; IN2016-V03_33; IN2016-V03_34; IN2016-V03_36; IN2016-V03_37; IN2016-V03_38; IN2016-V03_39; IN2016-V03_40; IN2016-V03_41; IN2016-V03_43; IN2016-V03_44; IN2016-V03_45; IN2016-V03_47; IN2016-V03_48; IN2016-V03_5; IN2016-V03_50; IN2016-V03_52; IN2016-V03_53; IN2016-V03_54; IN2016-V03_56; IN2016-V03_57; IN2016-V03_59; IN2016-V03_6; IN2016-V03_60; IN2016-V03_62; IN2016-V03_63; IN2016-V03_64; IN2016-V03_66; IN2016-V03_67; IN2016-V03_69; IN2016-V03_70; IN2016-V03_71; IN2016-V03_73; IN2016-V03_74; IN2016-V03_75; IN2016-V03_77; IN2016-V03_78; IN2016-V03_8; IN2016-V03_80; IN2016-V03_81; IN2016-V03_83; IN2016-V03_85; IN2016-V03_86; IN2016-V03_88; IN2016-V03_89; IN2016-V03_9; IN2016-V03_90; IN2016-V03_91; IN2016-V03_92; IN2016-V03_93; IN2016-V03_95; IN2016-V03_96; IN2016-V03_98; IN2016-V03_99; Investigator (2014); Latitude of event; Longitude of event; Microplankton, proportion of diagnostic pigments; Nanoplankton, proportion of diagnostic pigments; Picoplankton, proportion of diagnostic pigments; Pigments, diagnostic; South Pacific Ocean; Water sample; WS Phytoplankton size classes or functional types calculated from diagnostic pigments according to Hirata et al. (2011) |
| title | Phytoplankton size classes derived from pigment data in surface waters along 170°W (South Pacific Ocean) in 2016 |
| topic | AWI_BioOce; Biological Oceanography @ AWI; Calculated; Date/Time of event; DEPTH, water; Diatoms, proportion of diagnostic pigments; Dinoflagellates, proportion of diagnostic pigments; Event label; IN2016-V03; IN2016-V03_102; IN2016-V03_103; IN2016-V03_105; IN2016-V03_106; IN2016-V03_107; IN2016-V03_109; IN2016-V03_110; IN2016-V03_114; IN2016-V03_115; IN2016-V03_118; IN2016-V03_119; IN2016-V03_12; IN2016-V03_121; IN2016-V03_122; IN2016-V03_123; IN2016-V03_125; IN2016-V03_126; IN2016-V03_128; IN2016-V03_129; IN2016-V03_13; IN2016-V03_131; IN2016-V03_132; IN2016-V03_133; IN2016-V03_135; IN2016-V03_136; IN2016-V03_139; IN2016-V03_14; IN2016-V03_140; IN2016-V03_15; IN2016-V03_16; IN2016-V03_17; IN2016-V03_18; IN2016-V03_2; IN2016-V03_20; IN2016-V03_21; IN2016-V03_24; IN2016-V03_26; IN2016-V03_27; IN2016-V03_29; IN2016-V03_3; IN2016-V03_30; IN2016-V03_31; IN2016-V03_33; IN2016-V03_34; IN2016-V03_36; IN2016-V03_37; IN2016-V03_38; IN2016-V03_39; IN2016-V03_40; IN2016-V03_41; IN2016-V03_43; IN2016-V03_44; IN2016-V03_45; IN2016-V03_47; IN2016-V03_48; IN2016-V03_5; IN2016-V03_50; IN2016-V03_52; IN2016-V03_53; IN2016-V03_54; IN2016-V03_56; IN2016-V03_57; IN2016-V03_59; IN2016-V03_6; IN2016-V03_60; IN2016-V03_62; IN2016-V03_63; IN2016-V03_64; IN2016-V03_66; IN2016-V03_67; IN2016-V03_69; IN2016-V03_70; IN2016-V03_71; IN2016-V03_73; IN2016-V03_74; IN2016-V03_75; IN2016-V03_77; IN2016-V03_78; IN2016-V03_8; IN2016-V03_80; IN2016-V03_81; IN2016-V03_83; IN2016-V03_85; IN2016-V03_86; IN2016-V03_88; IN2016-V03_89; IN2016-V03_9; IN2016-V03_90; IN2016-V03_91; IN2016-V03_92; IN2016-V03_93; IN2016-V03_95; IN2016-V03_96; IN2016-V03_98; IN2016-V03_99; Investigator (2014); Latitude of event; Longitude of event; Microplankton, proportion of diagnostic pigments; Nanoplankton, proportion of diagnostic pigments; Picoplankton, proportion of diagnostic pigments; Pigments, diagnostic; South Pacific Ocean; Water sample; WS |
| url | https://doi.org/10.1594/PANGAEA.884049 |