griddap
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| Make A Graph
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| Title
| Summary
| FGDC
| ISO 19115
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| Dataset ID
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| https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats
| https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats.graph
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| public
| Argo Float Measurements
| Argo float vertical profiles from Coriolis Global Data Assembly Centres\n(GDAC). Argo is an international collaboration that collects high-quality\ntemperature and salinity profiles from the upper 2000m of the ice-free\nglobal ocean and currents from intermediate depths. The data come from\nbattery-powered autonomous floats that spend most of their life drifting\nat depth where they are stabilised by being neutrally buoyant at the\n\"parking depth\" pressure by having a density equal to the ambient pressure\nand a compressibility that is less than that of sea water. At present there\nare several models of profiling float used in Argo. All work in a similar\nfashion but differ somewhat in their design characteristics. At typically\n10-day intervals, the floats pump fluid into an external bladder and rise\nto the surface over about 6 hours while measuring temperature and salinity.\nSatellites or GPS determine the position of the floats when they surface,\nand the floats transmit their data to the satellites. The bladder then\ndeflates and the float returns to its original density and sinks to drift\nuntil the cycle is repeated. Floats are designed to make about 150 such\ncycles.\nData Management URL: http://www.argodatamgt.org/Documentation\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nfileNumber (File Number)\ndata_type\nformat_version (File format version)\nhandbook_version (Data handbook version)\nreference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)\ndate_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)\ndate_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)\nplatform_number (Float unique identifier)\nproject_name (Name of the project)\npi_name (Name of the principal investigator)\n... (49 more variables)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/ArgoFloats_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/ArgoFloats_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/ArgoFloats/index.htmlTable
| https://argo.ucsd.edu/
| https://erddap.ifremer.fr/erddap/rss/ArgoFloats.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=ArgoFloats&showErrors=false&email=
| Argo
| ArgoFloats
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| https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats-synthetic-BGC.subset
| https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats-synthetic-BGC
| https://erddap.ifremer.fr/erddap/tabledap/ArgoFloats-synthetic-BGC.graph
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| public
| Argo float synthetic vertical profiles : BGC data
| Argo float synthetic vertical profiles : BGC data\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nwmo_inst_type (Coded instrument type)\ndata_type\ndate_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)\npi_name (Name of the principal investigator)\nbbp470 (Particle backscattering at 470 nanometers, m-1)\nbbp470_qc\nbbp470_adjusted\nbbp470_adjusted_qc\nbbp470_adjusted_error\nbbp532 (Particle backscattering at 532 nanometers, m-1)\nbbp532_qc\nbbp532_adjusted\nbbp532_adjusted_qc\nbbp532_adjusted_error\nbbp700 (Particle backscattering at 700 nanometers, m-1)\nbbp700_qc\nbbp700_adjusted\nbbp700_adjusted_qc\nbbp700_adjusted_error\nbbp700_2 (Particle backscattering at 700 nanometers, m-1)\nbbp700_2_qc\nbbp700_2_adjusted\nbbp700_2_adjusted_qc\nbbp700_2_adjusted_error\nbisulfide (micromole/kg)\nbisulfide_qc\nbisulfide_adjusted\n... (168 more variables)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/ArgoFloats-synthetic-BGC_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/ArgoFloats-synthetic-BGC_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/ArgoFloats-synthetic-BGC/index.htmlTable
| http://www.argodatamgt.org/Documentation
| https://erddap.ifremer.fr/erddap/rss/ArgoFloats-synthetic-BGC.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=ArgoFloats-synthetic-BGC&showErrors=false&email=
| Argo
| ArgoFloats-synthetic-BGC
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https://erddap.ifremer.fr/erddap/griddap/gebco2021
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| https://erddap.ifremer.fr/erddap/griddap/gebco2021.graph
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| public
| The GEBCO_2021 Grid, a continuous terrain model for oceans and land at 15 arc-second intervals
| The GEBCO_2021 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals. The GEBCO_2021 Grid is a continuous, global terrain model for ocean and land with a spatial resolution of 15 arc seconds.The grid uses as a 'base-map' Version 2.2 of the SRTM15+ data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. It is augmented with gridded bathymetric data sets developed as part of the Nippon Foundation-GEBCO Seabed 2030 Project.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nelevation (Elevation relative to sea level, m)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/gebco2021_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/gebco2021_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/gebco2021/index.htmlTable
| https://www.gebco.net
| https://erddap.ifremer.fr/erddap/rss/gebco2021.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=gebco2021&showErrors=false&email=
| GEBCO, BODC .
| gebco2021
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