Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ...
This dataset supports the findings and conclusions presented by Gerace et al. in "Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean." The data was measured from seawater samples collected aboard the US Coast Guard Cutter Healy as part of a Synoptic Arctic Sur...
Main Authors: | , , , , , , , , |
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Format: | Dataset |
Language: | English |
Published: |
Dryad
2025
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.8gtht7710 https://datadryad.org/dataset/doi:10.5061/dryad.8gtht7710 |
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author | Gerace, Skylar Chung-Swanson, Tia Fagan, Adam Brock, Melissa Cooper, Lee Danielson, Seth Ashjian, Carin Grebmeier, Jacqueline Martiny, Adam |
author_facet | Gerace, Skylar Chung-Swanson, Tia Fagan, Adam Brock, Melissa Cooper, Lee Danielson, Seth Ashjian, Carin Grebmeier, Jacqueline Martiny, Adam |
author_sort | Gerace, Skylar |
collection | Unknown |
description | This dataset supports the findings and conclusions presented by Gerace et al. in "Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean." The data was measured from seawater samples collected aboard the US Coast Guard Cutter Healy as part of a Synoptic Arctic Survey cruise (HLY2202/AWS2022). The cruise started at Port of Dutch Harbor, Unalaska, Alaska on 4 Sept. 2022, went up to the geographic North Pole (90°N), and then returned to Dutch Harbor on 24 Oct. 2022. Variables of interest featured in this dataset include particulate chemical oxygen demand (PCOD), organic carbon (POC), organic nitrogen (PON), temperature, salinity, nutrients, light availability, dissolved oxygen, and ice coverage. Included as well are the relative frequencies of plankton taxonomic compositions and gene modules (KEGG) from DNA sampling and short-read metagenomic sequencing. ... : # Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean (Dataset S1) Dataset DOI: [10.5061/dryad.8gtht7710](10.5061/dryad.8gtht7710) ## Description of the data and file structure We deployed a Sea-Bird Electronics 9/11 Conductivity, Temperature, and Depth (CTD) system fitted with a rosette of 24 Niskin bottles (10 L capacity). Conductivity (SBE 4C), temperature (SBE 3+), dissolved oxygen (SBE 43), and photosynthetic active radiation (PAR, Biospherical QSP 2350) were directly measured throughout the water column. We estimated values for every tenth degree of latitude and longitude and 1 dbar of pressure. We recorded the interpolated value at 10 dbar and 50 dbar to represent the surface and subsurface waters, respectively, for each station. Sea surface temperature was also measured by the underway system and recorded for 110 out of 113 stations and was used to confirm the accuracy of the interpolated data points. Seawater was collected by the Niskin bottles for determining ... |
format | Dataset |
genre | Arctic Arctic Ocean North Pole Alaska |
genre_facet | Arctic Arctic Ocean North Pole Alaska |
geographic | Arctic Arctic Ocean North Pole |
geographic_facet | Arctic Arctic Ocean North Pole |
id | ftdatacite:10.5061/dryad.8gtht7710 |
institution | Open Polar |
language | English |
op_collection_id | ftdatacite |
op_doi | https://doi.org/10.5061/dryad.8gtht7710 |
op_rights | Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
publishDate | 2025 |
publisher | Dryad |
record_format | openpolar |
spelling | ftdatacite:10.5061/dryad.8gtht7710 2025-06-15T14:19:41+00:00 Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... Gerace, Skylar Chung-Swanson, Tia Fagan, Adam Brock, Melissa Cooper, Lee Danielson, Seth Ashjian, Carin Grebmeier, Jacqueline Martiny, Adam 2025 https://dx.doi.org/10.5061/dryad.8gtht7710 https://datadryad.org/dataset/doi:10.5061/dryad.8gtht7710 en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS: Earth and related environmental sciences Biogeochemistry Oceanography Respiration Arctic Ocean Stoichiometry Redfield Particulate organic matter Plankton Oxygen cycle Dataset dataset 2025 ftdatacite https://doi.org/10.5061/dryad.8gtht7710 2025-06-02T13:16:01Z This dataset supports the findings and conclusions presented by Gerace et al. in "Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean." The data was measured from seawater samples collected aboard the US Coast Guard Cutter Healy as part of a Synoptic Arctic Survey cruise (HLY2202/AWS2022). The cruise started at Port of Dutch Harbor, Unalaska, Alaska on 4 Sept. 2022, went up to the geographic North Pole (90°N), and then returned to Dutch Harbor on 24 Oct. 2022. Variables of interest featured in this dataset include particulate chemical oxygen demand (PCOD), organic carbon (POC), organic nitrogen (PON), temperature, salinity, nutrients, light availability, dissolved oxygen, and ice coverage. Included as well are the relative frequencies of plankton taxonomic compositions and gene modules (KEGG) from DNA sampling and short-read metagenomic sequencing. ... : # Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean (Dataset S1) Dataset DOI: [10.5061/dryad.8gtht7710](10.5061/dryad.8gtht7710) ## Description of the data and file structure We deployed a Sea-Bird Electronics 9/11 Conductivity, Temperature, and Depth (CTD) system fitted with a rosette of 24 Niskin bottles (10 L capacity). Conductivity (SBE 4C), temperature (SBE 3+), dissolved oxygen (SBE 43), and photosynthetic active radiation (PAR, Biospherical QSP 2350) were directly measured throughout the water column. We estimated values for every tenth degree of latitude and longitude and 1 dbar of pressure. We recorded the interpolated value at 10 dbar and 50 dbar to represent the surface and subsurface waters, respectively, for each station. Sea surface temperature was also measured by the underway system and recorded for 110 out of 113 stations and was used to confirm the accuracy of the interpolated data points. Seawater was collected by the Niskin bottles for determining ... Dataset Arctic Arctic Ocean North Pole Alaska Unknown Arctic Arctic Ocean North Pole |
spellingShingle | FOS: Earth and related environmental sciences Biogeochemistry Oceanography Respiration Arctic Ocean Stoichiometry Redfield Particulate organic matter Plankton Oxygen cycle Gerace, Skylar Chung-Swanson, Tia Fagan, Adam Brock, Melissa Cooper, Lee Danielson, Seth Ashjian, Carin Grebmeier, Jacqueline Martiny, Adam Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... |
title | Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... |
title_full | Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... |
title_fullStr | Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... |
title_full_unstemmed | Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... |
title_short | Spatial variance of organic matter respiration stoichiometry in the Arctic Ocean ... |
title_sort | spatial variance of organic matter respiration stoichiometry in the arctic ocean ... |
topic | FOS: Earth and related environmental sciences Biogeochemistry Oceanography Respiration Arctic Ocean Stoichiometry Redfield Particulate organic matter Plankton Oxygen cycle |
topic_facet | FOS: Earth and related environmental sciences Biogeochemistry Oceanography Respiration Arctic Ocean Stoichiometry Redfield Particulate organic matter Plankton Oxygen cycle |
url | https://dx.doi.org/10.5061/dryad.8gtht7710 https://datadryad.org/dataset/doi:10.5061/dryad.8gtht7710 |