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42,093 datasets
Global satellite data from the DMSP F8 spacecraft provides monthly averaged ocean surface wind speed, atmospheric water vapor, cloud liquid water, and rain rate. Remote Sensing Systems produced this dataset using a unified physical algorithm refined over 20 years, with SSMIS data intercalibrated to extend the SSM/I time series. The Global Hydrology Resource Center reformatted the data into netCDF files as part of NASA's MEaSUREs Program.
A 3-day average dataset from the DMSP F16 satellite's SSMIS sensor, providing a long-term time series of key ocean and atmospheric variables. Remote Sensing Systems produced the data using a unified physical algorithm refined over 20 years, and NASA's MEaSUREs Program distributes it via the Global Hydrology Resource Center. The data is intercalibrated with earlier SSM/I sensors to ensure consistency.
NASA's MEaSUREs Program provides weekly averaged satellite data for ocean wind speed, water vapor, cloud water, and rain rate. Remote Sensing Systems produced this dataset using a unified algorithm refined over 20 years, with SSMIS data intercalibrated to extend the SSM/I time series. The Global Hydrology Resource Center reformatted the original binary data into netCDF files for the DMSP F11 satellite.
Global satellite data provides weekly averages of ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate. This dataset is part of NASA's MEaSUREs Program, produced by Remote Sensing Systems using a unified algorithm refined over 20 years. The netCDF collection originates from the DMSP F8 satellite's Special Sensor Microwave/Imager (SSM/I).
Remote Sensing Systems provides weekly averaged satellite measurements of key ocean and atmospheric variables, including wind speed, water vapor, cloud water, and rain rate. The data is generated using a unified algorithm refined over 20 years and is part of NASA's MEaSUREs Program. It originates from the DMSP F13 satellite and has been reformatted into netCDF by the Global Hydrology Resource Center.
Remote Sensing Systems provides weekly averaged satellite retrievals of ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate. The data is produced by NASA's MEaSUREs Program using a unified algorithm refined over 20 years and is available for the DMSP F14 satellite. It is distributed in netCDF format by the Global Hydrology Resource Center.
NASA's RSS SSMIS Ocean Product Grids Monthly Average dataset contains satellite-derived geophysical measurements over the ocean. Remote Sensing Systems produces this data using a unified algorithm refined over 20 years to retrieve ocean wind speed, water vapor, cloud water, and rain rate from the DMSP F17 satellite's SSMIS sensor. The Global Hydrology Resource Center reformats the data into netCDF files, providing monthly averaged values.
Global satellite data provides weekly averaged ocean surface wind speed, atmospheric water vapor, cloud liquid water, and rain rate. Remote Sensing Systems produced this dataset using a unified algorithm refined over 20 years, as part of NASA's MEaSUREs Program. The data is derived from the DMSP F16 satellite's SSMIS sensor and reformatted into netCDF files by the Global Hydrology Resource Center.
Southwest Australia's offshore margin is covered by this integrated gravity and magnetic dataset. Geoscience Australia produced it by leveling and combining about 26,000 line km of new survey data with historical data from around 150 previous marine surveys. The data underpinned the 2010-2011 exploration acreage release in the Perth, Mentelle, and Southern Carnarvon basins.
A 3-day averaged satellite dataset from the DMSP F10 spacecraft, providing a time series of ocean surface wind speed, atmospheric water vapor, cloud liquid water, and rain rate. The data is produced by Remote Sensing Systems using a unified physical algorithm refined over 20 years and is part of NASA's MEaSUREs Program. It has been reformatted into netCDF by the Global Hydrology Resource Center.
A 3-day average dataset of satellite-derived ocean and atmospheric variables from the DMSP F15 satellite's SSM/I and SSMIS sensors. The data is produced by Remote Sensing Systems under NASA's MEaSUREs Program using a unified algorithm refined over 20 years. It provides a continuous, intercalibrated time series of key geophysical parameters.
Satellite-derived daily geophysical grids provide ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate. The dataset is produced by Remote Sensing Systems using a unified algorithm refined over two decades, under NASA's MEaSUREs Program. Data from the DMSP F13 satellite's SSM/I sensor are reformatted into netCDF files.
NASA's MEaSUREs Program provides daily gridded ocean surface data from the DMSP F11 satellite's Special Sensor Microwave/Imager. Remote Sensing Systems uses a unified, physically based algorithm refined over 20 years to simultaneously retrieve wind speed, water vapor, cloud water, and rain rate. The Global Hydrology Resource Center reformats the original binary data into netCDF files for accessibility.
Monthly average satellite data from the DMSP F15 platform provides a long-term time series of ocean surface wind speed, atmospheric water vapor, cloud liquid water, and rain rate. The dataset is produced by Remote Sensing Systems using a unified physical algorithm refined over 20 years, as part of NASA's MEaSUREs Program. Data from the SSM/I and SSMIS sensors are intercalibrated and reformatted into netCDF files by the Global Hydrology Resource Center.
20 years of algorithm development underpin this NASA MEaSUREs Program dataset from the DMSP F10 satellite. Remote Sensing Systems provides weekly averaged global ocean measurements for wind speed, water vapor, cloud water, and rain rate. Data is reformatted into netCDF by the Global Hydrology Resource Center.
Satellite-derived weekly average grids provide ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate measurements. This dataset is produced by Remote Sensing Systems using a unified algorithm refined over 20 years, as part of NASA's MEaSUREs Program. Data from the DMSP F15 satellite's SSM/I and SSMIS sensors are intercalibrated and reformatted into netCDF files.
NASA's MEaSUREs Program provides a 3-day averaged dataset of ocean surface wind speed, atmospheric water vapor, cloud liquid water, and rain rate. The data is derived from the DMSP F17 satellite's SSMIS instrument using a unified algorithm refined over 20 years. Remote Sensing Systems produced the original retrievals, which the Global Hydrology Resource Center reformatted into netCDF files.
Remote Sensing Systems generates this satellite dataset of daily global ocean surface parameters as part of NASA's MEaSUREs Program. It provides simultaneous retrievals of ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate using a unified algorithm refined over 20 years. The SSMIS data from the DMSP F17 satellite are intercalibrated with earlier SSM/I sensors to extend a consistent long-term time series.
20 years of algorithm development underpin this dataset of weekly averaged ocean surface parameters retrieved from the DMSP F17 satellite's SSMIS sensor. The collection provides intercalibrated time series data for wind speed, water vapor, cloud water, and rain rate over the global ocean. It is produced by Remote Sensing Systems as part of NASA's MEaSUREs Program and reformatted into netCDF by the Global Hydrology Resource Center.
Montgomery County's OAS dataset tracks the live release rate for animals entering its shelter, a key performance metric for animal welfare. The data includes detailed records of animal impoundments and outcomes, with columns suggesting information on intake condition, outcome type, and dates. It is hosted on multiple open data platforms, indicating its public importance for transparency.