Stable isotopes and mol% of amino acids in 0.2-3 µm seston at surface during METEOR cruise M174
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
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PANGAEA
2026
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| _version_ | 1867171044263985152 |
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| author | Fernández-Carrera, Ana Steinkopf, Markus Liskow, Iris Wodarg, Dirk Voss, Maren Loick-Wilde, Natalie |
| author_facet | Fernández-Carrera, Ana Steinkopf, Markus Liskow, Iris Wodarg, Dirk Voss, Maren Loick-Wilde, Natalie |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The Amazon river accounts annually for 20% of riverine discharge into the global ocean with strong seasonal variations. This lens of freshwater spreads at surface as a plume, and can reach as far as the Caribbean. During this journey, the changing physicochemical characteristics of the aging plume define contrasting plankton habitats. These habitats select for communities with varying degrees of complexity of the plankton food web. During RV METEOR cruise M174 (Voss, 2021) we studied the dominant trophic function at the base of the food web (autotrophs vs mixotrophs) using stable isotopes of nitrogen in specific amino acids as well as bulk isotopes of carbon and nitrogen. This dataset contains the nitrogen signatures of 12 amino acids in δ notation (δ15N, ‰ vs N2 in air), the mol% of 12 amino acids and the carbon (δ13C, ‰ vs VPDB) and nitrogen isotopes in bulk samples at surface as well as environmental data and phytoplankton community structure. Seston was separated into two size fractions, the picoseston comprised of particles below ca. 3µm (this dataset), and a mixture of nano- and microseston with particles above ca. 3µm (https://doi.pangaea.de/10.1594/PANGAEA.971279). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_971293 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Stable isotopes and mol% of amino acids in 0.2-3 µm seston at surface during METEOR cruise M174 Fernández-Carrera, Ana Steinkopf, Markus Liskow, Iris Wodarg, Dirk Voss, Maren Loick-Wilde, Natalie Alanine; Alanine, δ15N; Alanine, δ15N, standard deviation; Amazon River plume; amino acids mol%; Ammonium; Aspartamine and Aspartic acid; Aspartamine and Aspartic acid, δ15N; Aspartamine and Aspartic acid, δ15N, standard deviation; Based on HPLC pigments according to Bricaud et al (2004); Brunt-Väisälä frequency, maximum; Campaign; Carbon, particulate; ChemTax v 1.9.5 (Wright, S., 2017); Chlorophyll a; Compound-specific stable isotope analyses of amino acids; Cryptophytes; CTD/Rosette; CTD-RO; DATE/TIME; Depth, deep chlorophyll maximum; Depth, phosphocline; Depth, silicocline; DEPTH, water; Depth of nitracline; Depth with 1% of photosynthetic active radiation; Diatoms; Dinoflagellates; Elemental analyzer, Thermo Finnigan, 1112 Flash; coupled with Isotope ratio mass spectrometer, Thermo Finnigan, Delta Plus; continuous-flow carrier-gas system, Thermo Finnigan, ConFlo III; ELEVATION; Event label; Filamentous Cyanobacteria; Gas chromatographer mass spectrometer, Thermo Finnigan, Trace GCMS DSQ II; coupled with TriPlus Autosampler, Thermo Finnigan; Glutamine and Glutamic acid; Glutamine and Glutamic acid, δ15N; Glutamine and Glutamic acid, δ15N, standard deviation; Habitat; Habitat Delineation in Highly Variable Marine Environments (Weber et. al, 2019); Haptophytes; High performance liquid chromatography (HPLC), Agilent 1200; High-pressure liquid chromatography size index; Isoleucine; Isoleucine, δ15N; Isoleucine, δ15N, standard deviation; Isotope ration mass spectrometer (IRMS), Thermo Fischer Scientific, MAT253; universal continuous flow interface, Thermo Scientific, ConFlo IV; gas chromatography, Thermo Scientific, GC Isolink II; gas chromatography, Thermo Scientific, Trace GC 1300; LATITUDE; Leucine; Leucine, δ15N; Leucine, δ15N, standard deviation; Linear interpolation depth of 35 PSU; Location; LONGITUDE; Lysine; Lysine, δ15N; Lysine, δ15N, standard deviation; M174; M174_10-8; M174_12-2; M174_14-2; M174_17-17; M174_19-6; M174_20-5; M174_21-7; M174_24-1; M174_25-5; M174_26-10; M174_28-2; M174_30-12; M174_31-11; M174_32-6; M174_7-4; M174_8-7; M174_9-7; Meteor (1986); Methods of Seawater Analysis, Third Edition (Grasshoff et al., 1999); Mixed layer depth; Nitrate; Nitrite; Nitrogen, particulate; North Atlantic Ocean; Oxygen; Phenylalanine; Phenylalanine, δ15N; Phenylalanine, δ15N, standard deviation; Phosphate; Prasinophytes; Prochlorococcus; Proline; Proline, δ15N; Proline, δ15N, standard deviation; PUMP; River plume thickness; Salinity; Serine; Serine, δ15N; Serine, δ15N, standard deviation; seston; Silicate; South Atlantic Ocean; Stable carbon isotopes δ13C; stable nitrogen isotope (δ15N); Station label; Synechococcus; Temperature, water; Threonine; Threonine, δ15N; Threonine, δ15N, standard deviation; Tyrosine; Tyrosine, δ15N; Tyrosine, δ15N standard, deviation; Valine; Valine, δ15N; Valine, δ15N, standard deviation; Water pump; δ13C, seston; δ15N, seston The Amazon river accounts annually for 20% of riverine discharge into the global ocean with strong seasonal variations. This lens of freshwater spreads at surface as a plume, and can reach as far as the Caribbean. During this journey, the changing physicochemical characteristics of the aging plume define contrasting plankton habitats. These habitats select for communities with varying degrees of complexity of the plankton food web. During RV METEOR cruise M174 (Voss, 2021) we studied the dominant trophic function at the base of the food web (autotrophs vs mixotrophs) using stable isotopes of nitrogen in specific amino acids as well as bulk isotopes of carbon and nitrogen. This dataset contains the nitrogen signatures of 12 amino acids in δ notation (δ15N, ‰ vs N2 in air), the mol% of 12 amino acids and the carbon (δ13C, ‰ vs VPDB) and nitrogen isotopes in bulk samples at surface as well as environmental data and phytoplankton community structure. Seston was separated into two size fractions, the picoseston comprised of particles below ca. 3µm (this dataset), and a mixture of nano- and microseston with particles above ca. 3µm (https://doi.pangaea.de/10.1594/PANGAEA.971279). |
| title | Stable isotopes and mol% of amino acids in 0.2-3 µm seston at surface during METEOR cruise M174 |
| topic | Alanine; Alanine, δ15N; Alanine, δ15N, standard deviation; Amazon River plume; amino acids mol%; Ammonium; Aspartamine and Aspartic acid; Aspartamine and Aspartic acid, δ15N; Aspartamine and Aspartic acid, δ15N, standard deviation; Based on HPLC pigments according to Bricaud et al (2004); Brunt-Väisälä frequency, maximum; Campaign; Carbon, particulate; ChemTax v 1.9.5 (Wright, S., 2017); Chlorophyll a; Compound-specific stable isotope analyses of amino acids; Cryptophytes; CTD/Rosette; CTD-RO; DATE/TIME; Depth, deep chlorophyll maximum; Depth, phosphocline; Depth, silicocline; DEPTH, water; Depth of nitracline; Depth with 1% of photosynthetic active radiation; Diatoms; Dinoflagellates; Elemental analyzer, Thermo Finnigan, 1112 Flash; coupled with Isotope ratio mass spectrometer, Thermo Finnigan, Delta Plus; continuous-flow carrier-gas system, Thermo Finnigan, ConFlo III; ELEVATION; Event label; Filamentous Cyanobacteria; Gas chromatographer mass spectrometer, Thermo Finnigan, Trace GCMS DSQ II; coupled with TriPlus Autosampler, Thermo Finnigan; Glutamine and Glutamic acid; Glutamine and Glutamic acid, δ15N; Glutamine and Glutamic acid, δ15N, standard deviation; Habitat; Habitat Delineation in Highly Variable Marine Environments (Weber et. al, 2019); Haptophytes; High performance liquid chromatography (HPLC), Agilent 1200; High-pressure liquid chromatography size index; Isoleucine; Isoleucine, δ15N; Isoleucine, δ15N, standard deviation; Isotope ration mass spectrometer (IRMS), Thermo Fischer Scientific, MAT253; universal continuous flow interface, Thermo Scientific, ConFlo IV; gas chromatography, Thermo Scientific, GC Isolink II; gas chromatography, Thermo Scientific, Trace GC 1300; LATITUDE; Leucine; Leucine, δ15N; Leucine, δ15N, standard deviation; Linear interpolation depth of 35 PSU; Location; LONGITUDE; Lysine; Lysine, δ15N; Lysine, δ15N, standard deviation; M174; M174_10-8; M174_12-2; M174_14-2; M174_17-17; M174_19-6; M174_20-5; M174_21-7; M174_24-1; M174_25-5; M174_26-10; M174_28-2; M174_30-12; M174_31-11; M174_32-6; M174_7-4; M174_8-7; M174_9-7; Meteor (1986); Methods of Seawater Analysis, Third Edition (Grasshoff et al., 1999); Mixed layer depth; Nitrate; Nitrite; Nitrogen, particulate; North Atlantic Ocean; Oxygen; Phenylalanine; Phenylalanine, δ15N; Phenylalanine, δ15N, standard deviation; Phosphate; Prasinophytes; Prochlorococcus; Proline; Proline, δ15N; Proline, δ15N, standard deviation; PUMP; River plume thickness; Salinity; Serine; Serine, δ15N; Serine, δ15N, standard deviation; seston; Silicate; South Atlantic Ocean; Stable carbon isotopes δ13C; stable nitrogen isotope (δ15N); Station label; Synechococcus; Temperature, water; Threonine; Threonine, δ15N; Threonine, δ15N, standard deviation; Tyrosine; Tyrosine, δ15N; Tyrosine, δ15N standard, deviation; Valine; Valine, δ15N; Valine, δ15N, standard deviation; Water pump; δ13C, seston; δ15N, seston |
| url | https://doi.org/10.1594/PANGAEA.971293 |