PANGAEA_940828 Amino acids and hexosamine in sediment trap samples from different oceanic areas collected between 1993 and 2017 from shelf seas to the deep ocean Gaye, Birgit; Lahajnar, Niko; Harms, Natalie; Paul, Sophie Anna Luise; Rixen, Tim; Emeis, Kay-Christian Amino acids and hexosamine in sediment trap samples from different oceanic areas collected between 1993 and 2017 from shelf seas to the deep ocean 2022-02-09 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.940828 Investigator Birgit Gaye birgit.gaye@uni-hamburg.de Earth Science Location Event label Other event Station label Sample ID Reference/source Reference of data DATE/TIME DEPTH, water Total mass, flux per day Carbon, organic, total, flux Carbon, organic, total Nitrogen, total δ15N Amino acid, flux Amino acids Amino acids Amino acid, carbon Amino acid, nitrogen Hexosamines Hexosamines Amino sugar, carbon Amino sugar, nitrogen Amino acid, carbon of total organic carbon Amino acid nitrogen of total nitrogen Amino sugar, carbon of total organic carbon Amino sugar, nitrogen of total nitrogen Cysteic acid Taurine Methionine sulfoximine Aspartic acid Threonine Serine Glutamic acid Glycine Alanine Valine Methionine Isoleucine Leucine Tyrosine Phenylalanine beta-Alanine gamma-Aminobutyric acid Histidine Tryptophan Ornithine Lysine Arginine Glucosamine Galactosamine Amino acids/hexosamines ratio Aspartic acid/beta-Alanine ratio Glutamic acid/gamma-Aminobutyric acid ratio Amino acids non-protein Glucosamine/Galactosamine ratio Reactivity index of amino acids (Jennerjahn & Ittekkot, 1997) Degradation index Ox/Anox ratio Sediment degradation index Residence time index geoscientificInformation amino acids BP00 BP00-24a-Yenisei_02 BP01 BP01-61a-Kara_02 BP02 BP02-04-Yenisei_04 BP99 BP99-01-Ob01 BP99-15-Yen01 CAST Central Arabian Sea Trap Station degradation indicators Deployment: BP00-24a; Recovery: BP01-02 Deployment: BP01-61a; Recovery: BP02-01A Deployment: BP02-04; Recovery: BP03-04a Deployment: BP99-01 Deployment: M44/1_7ST; Recovery: M44/4_ST244 Deployment: MSM17/3_223-2; Recovery: MSM17/3_258-2 EAST Eastern Arabian Sea Trap Station East Pakistan Trap Station ENAT EPT hexosamines INDEX2016_TRAP_01-01 INDEX2016_TRAP_03-01 JAM-1 M44/1 M44/1_7-MID Mooring Mooring (long time) MSM17/3 MSM17/3_222-M MSM17/3_223-D MSM59/2_Deployment_01-01,SO259_Recovery_01-01 MSM59/2_Deployment_03-01,SO259_Recovery_03-01 NAST NEAST Northeastern Arabian Sea Trap Station Northern Arabian Sea Trap Station organic matter degradability Recovery: MSM17/3_222-4 SAST sediment trap samples sinking particles Southern Arabian Sea Trap Station Trap Trap, sediment WAST Western Arabian Sea Trap Station West Pakistan Trap Station WNAT WPT Gas chromatography with Carlo Erba NA1500 after treatment with HCL Gas chromatography with Carlo Erba NA-1500 CNS elemental analyzer Mass spectrometer, ThermoFisher Scientific MAT 252 Amino acid analyser, Biochrom 30 Calculated after Jennerjahn and Ittekkot (1997) Calculated after Dauwe et al. 1999 Calculated after Gaye et al. (2022) Akademik Boris Petrov Meteor (1986) Maria S. Merian 1992-12-25 2017-07-04 Complete -23.0 76.2 -19.67 108.0333 20.0 m (DEPTH, water) 4266.0 m (DEPTH, water) unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 11335 data points text/tab-separated-values Gaye, Birgit; Lahajnar, Niko; Harms, Natalie; Paul, Sophie Anna Luise; Rixen, Tim; Emeis, Kay-Christian (2022): What can we learn from amino acids about oceanic organic matter cycling and degradation? Biogeosciences, 19(3), 807-830, https://doi.org/10.5194/bg-19-807-2022 Harms, Natalie; Lahajnar, Niko; Schwarz-Schampera, Ulrich (2021): Biogeochemical data of sinking particulate matter collected by sediment trap mooring 01-01 (2016-2017) in the South Indian Ocean [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.931612

This large set of sediment trap samples was collected in different oceanic areas between 1993 and 2017 from shelf seas to the deep ocean. The samples were compiled from previous studies and used for statistical analyses in order to better understand particle dynamics and organic matter cycling in the ocean and to test and refine amino acid (AA) and hexosamine (HA) based biogeochemical indicators. Samples were analysed for total nitrogen (N) using a Carlo Erba nitrogen analyser 1500. Total organic carbon (TOC) was measured with the same instrument after treatment of weighed samples with 1N HCl to remove carbonate. Stable nitrogen isotopes of total particulate nitrogen (δ15N-TPN) were analysed with the mass spectrometer ThermoFisher Scientific MAT 252. AA and HA contents and their individual monomers were analysed by liquid chromatography using a Biochrom 30 amino acid analyzer. Total fluxes, TOC and AA fluxes were calculated in mg m-2 d-1. Contents of AA and HA are presented in µmol/g and µg/g. AAC, AAN, HAC, HAN are presented in µg/g and as percentages of TOC (AA-C/C, HA-C/C) or TN (AA-N/N, HA-N/N). AA and HA monomers are presented in Mol% and comprise aspartic acid (ASP), glutamic acid (Glu), threonine (Thr), serine (Ser), glycine (Gly), alanine (Ala), valine (Val), methionine (Met), isoleucine (Ile), leucine (Leu), tyrosine (Tyr), phenylalanine (Phe), β-Alanine (β-Ala), γ-aminobutyric acid (γ-Aba), histidine (His), ornithine (Orn), lysine (Lys) and arginine (Arg), glucosamine (GlcN) and galactosamine (GalN), cysteic acid (CYA), taurine (TAU), methionine sulfoximine (MSO) and tryptophane (TRP) were determined only in the more recent samples. Data gaps indicate that measurements were not carried out or that they were not stored in the older data sets. The RI was calculated according to Jennerjahn and Ittekkot (1997; https://archimer.ifremer.fr/doc/00093/20403/) and the DI after Dauwe et al. (1999; doi:10.4319/lo.1999.44.7.1809). Definitions of biogeochemical indicators SDI, RTI, ox/anox and a detailed description of the methods can be found in Gaye et al. (2022; doi:org/10.5194/bg-19-807-2022). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.940828"!

http://en.wikipedia.org/wiki/ISO_8601 DATE/TIME https://archimer.ifremer.fr/doc/00093/20403/ Calculated after Jennerjahn and Ittekkot (1997) https://doi.org/10.4319/lo.1999.44.7.1809 Calculated after Dauwe et al. 1999 https://doi.org/10.4319/lo.2013.58.3.1061 Ox/Anox ratio https://doi.org/10.5194/bg-19-807-2022 Calculated after Gaye et al. (2022) https://doi.org/10.5194/bg-19-807-2022 What can we learn from amino acids about oceanic organic matter cycling and degradation? https://doi.org/10.5194/bg-2021-229 Residence time index https://doi.org/10.5194/bg-2021-229 Sediment degradation index https://doi.pangaea.de/10.1594/PANGAEA.931612 Biogeochemical data of sinking particulate matter collected by sediment trap mooring 01-01 (2016-2017) in the South Indian Ocean https://en.wikipedia.org/wiki/Alanine Alanine https://en.wikipedia.org/wiki/Arginine Arginine https://en.wikipedia.org/wiki/Aspartic_acid Aspartic acid https://en.wikipedia.org/wiki/beta-Alanine beta-Alanine https://en.wikipedia.org/wiki/Gamma-aminobutyric_acid gamma-Aminobutyric acid https://en.wikipedia.org/wiki/Glutamic_acid Glutamic acid https://en.wikipedia.org/wiki/Glycine Glycine https://en.wikipedia.org/wiki/Histidine Histidine https://en.wikipedia.org/wiki/Isoleucine Isoleucine https://en.wikipedia.org/wiki/Leucine Leucine https://en.wikipedia.org/wiki/Lysine Lysine https://en.wikipedia.org/wiki/Methionine Methionine https://en.wikipedia.org/wiki/Ornithine Ornithine https://en.wikipedia.org/wiki/Phenylalanine Phenylalanine https://en.wikipedia.org/wiki/RV_Maria_S._Merian Maria S. Merian https://en.wikipedia.org/wiki/RV_Meteor_(1986) Meteor (1986) https://en.wikipedia.org/wiki/Serine Serine https://en.wikipedia.org/wiki/Threonine Threonine https://en.wikipedia.org/wiki/Tyrosine Tyrosine https://en.wikipedia.org/wiki/Valine Valine DIF 9.4 2022-02-09 2026-04-29