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BCO-DMO ERDDAP
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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001499_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001499_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1001499_v1/ | public | [ASPIRE Upper Water Column Inventories] - Biogeochemical inventories in the upper water column of the Pacific sector of the coastal Antarctic as measured on the Amundsen Sea Polynya International Research Expedition (ASPIRE) during December 2010 to January 2011 (Amundsen Sea Polynya International Research Expedition) | Polynyas, or recurring areas of seasonally open water surrounded by sea ice, are foci for energy and material transfer between the atmosphere and the polar ocean. They are also climate sensitive, with both sea ice extent and glacial melt influencing their productivity. The Amundsen Sea Polynya (ASP) is the greenest polynya in the Southern Ocean, with summertime chlorophyll a concentrations exceeding 20 micrograms per liter. During the Amundsen Sea Polynya International Research Expedition (ASPIRE) in the austral summer of 2010–11, we aimed to determine the fate of this high algal productivity. We collected water column profiles for total dissolved inorganic carbon (DIC) and nutrients, particulate and dissolved organic matter, chlorophyll a, mesozooplankton, and microbial biomass to make a carbon budget for this ecosystem. We also measured primary and secondary production, and community respiration rates. These data were reported as contour plots in Figures 5 through 10 of Yager et al. 2016 (doi: 10.12952/journal.elementa.000140).\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nEvent (unitless)\nCast (unitless)\nDate (unitless)\nYear_Day (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nASP_num (unitless)\ndepth (m)\nPoten_Temp (degrees C)\nSalinity (unitless)\nDIC (micromoles C per liter (µmol C per L))\nDIN (micromoles N per liter (µmol N per L))\nDIP (micromoles P per liter (µmol P per L))\nPOC (micromoles C per liter (µmol C per L))\nPON (micromoles N per liter (µmol N per L))\nPart_P (micromoles P per liter (µmol P per L))\n... (12 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1001499_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1001499_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1001499_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/1001499
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1001499_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1001499_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_1001499_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_764704 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_764704.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_764704/ | public | [High Sensitivity DIP] - Global distribution of phosphate using high sensitivity techniques from data aggregated from many studies between 1988-2017 (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry) | Surface ocean phosphate is commonly below the standard analytical detection limit (~100 nM) leading to an incomplete picture of the global variation and biogeochemical role of phosphate. This dataset represents a global compilation of phosphate measured using high-sensitivity methods including magnesium induced precipitation (MAGIC), liquid waveguide cell (LWCC), and solid phase extraction (SPE) methods. We compiled data from 42 major cruises covering all oligotrophic regions using high-sensitivity P measurements. The dataset covered a total of 50591 samples including 41747 samples from the upper 30 m. The compilations revealed several previously unrecognized low-P areas and clear regional biases. Our study demonstrates the importance of accurately quantifying nutrients for understanding the regulation of ocean ecosystems and biogeochemistry now and under future climate conditions.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDIP (micromolar (uM))\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDate (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_764704_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_764704_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_764704/index.htmlTable | https://www.bco-dmo.org/dataset/764704
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_764704.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_764704&showErrors=false&email= | BCO-DMO | bcodmo_dataset_764704 |