Easier access to scientific data
Brought to you by NOAA NMFS SWFSC ERD
|
ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990 | https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.graph | International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Arctic Subset from 1990 - 1999 | This file contains ICOADS R3.0.0 data in netCDF4 format collected from 1999-12-01T00:00:00Z to 1999-12-31T23:58:47Z. The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning the past three centuries, and simple gridded monthly summary products for 2-degree latitude x 2-degree longitude boxes back to 1800 (and 1degreex1degree boxes since 1960)--these data and products are freely distributed worldwide. As it contains observations from many different observing systems encompassing the evolution of measurement technology over hundreds of years, ICOADS is probably the most complete and heterogeneous collection of surface marine data in existence.\n\ncdm_data_type = Point\nVARIABLES:\nrow\ntime (seconds since 1970-01-01T00:00:00Z)\ndate (date in YYYYMMDD)\ncrs\nHR (Hour)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTI (Time Indicator)\nLI (Latitude Longitude Indicator)\nDS (Ship's Course)\nVS (Ship's Speed)\nNID\nII (Identification Indicator)\nID (Identification)\nC1 (Country Code)\nDI (Wind Direction Indicator)\nD (Wind Direction, degrees)\nWI (Wind Speed Indicator)\nW (Wind Speed , m/s)\nVI (Visibility Indicator)\n... (185 more variables)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/icoads_arctic_subset_1990_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/icoads_arctic_subset_1990_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/icoads_arctic_subset_1990/index.htmlTable | http://rda.ucar.edu/datasets/ds548.0/docs/R3.0-citation.pdf
| https://data.pmel.noaa.gov/generic/erddap/rss/icoads_arctic_subset_1990.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=icoads_arctic_subset_1990&showErrors=false&email= | NCEI, NOAA | icoads_arctic_subset_1990 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.graph | Saildrone 2022 SWFSC Survey NRT, drone 1076 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1076_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1076_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1076_swfsc_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1076_swfsc_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1076_swfsc_2022&showErrors=false&email= | Saildrone | sd1076_swfsc_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.graph | Saildrone 2022 SWFSC Survey NRT, drone 1077 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1077_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1077_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1077_swfsc_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1077_swfsc_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1077_swfsc_2022&showErrors=false&email= | Saildrone | sd1077_swfsc_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data, drone 1048 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1048_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_swfsc_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_swfsc_2023&showErrors=false&email= | Saildrone | sd1048_swfsc_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data, drone 1060 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1060_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_swfsc_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_swfsc_2023&showErrors=false&email= | Saildrone | sd1060_swfsc_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data, drone 1096 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1096_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1096_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1096_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1096_swfsc_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1096_swfsc_2023&showErrors=false&email= | Saildrone | sd1096_swfsc_2023 |