• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

This JPL MUR SST daily climatology v4.1 (2003-2014) is from ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ and is based on the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

This JPL MUR SST daily climatology v4.1 (2003-2014) is from ftp://mariana.jpl.nasa.gov/mur_sst/tmchin/seasonal/ and is based on the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-04T00:00:00.000+00:00

(This is now DEPRECATED. See the newer version 4.1 of this dataset: jplMURSST41.) This daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea Surface Temperature (SST) 1-km data set, Version...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

This monthly Sea Surface Temperature (SST) Anomaly product is a simple mean of the daily anomaly product created by ERD for a given month. The daily anomalies were created by ERD based on JPL...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

This is a merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL). This daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

This is a merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL). This daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea...

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• none
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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

This is a merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL). This daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea...

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• none
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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

A monthly mean Sea Surface Temperature (SST) product created by NOAA NMFS SWFSC ERD based on the daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea Surface Temperature (SST) 1-km data...

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• Organization: National Aeronautics and Space Administration
• Updated: 2026-02-10

The Brera Multi-scale Wavelet ROSAT High Resolution Imager Source Catalog (BMW-HRI) is derived from all ROSAT HRI pointed observations with exposure time longer than 100 seconds available in the...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2023-02-01

The datasets contain data required to determine the recovery efficiency and nitrogen losses of each of the six studied technologies and nitrogen recovery cost, as well as an environmental...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2017-09-01

This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript "Two-scale multi-model ensemble: Is a hybrid ensemble of opportunity telling us more?" led by Dr....

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• Organization: National Aeronautics and Space Administration
• Updated: 2026-02-10

This table contains the BMW-Chandra source catalog drawn from essentially all Chandra ACIS-I pointed observations with an exposure time in excess of 10 ks that were public as of March 2003 (136...

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• Organization: Department of the Interior
• Updated: 2022-06-23T00:00:00Z

The polygons in this shapefile accompany the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water,...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2014-01-01

The CMAQ Model Outputs data asset includes current and projected future levels of ambient concentrations and deposition to support regulatory impact analyses.

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-09-03T00:00:00.000+00:00

Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold...

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• Organization: Department of the Interior
• Updated: 2022-06-23T00:00:00Z

The comma-delimited fields in this dataset provide values for the remotely sensed variables analyzed for landscape blocks described in the paper, "Multi-year data from satellite- and ground-based...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2024-11-08

This dataset includes CMAQ model code and a description/location of meteorological files. Portions of this dataset are inaccessible because: Non-EPA-owned by Alaska Department of Environmental...

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• Organization: Department of the Interior
• Updated: 2022-06-23T00:00:00Z

This comma-delimited dataset provides values for the remotely sensed status of snow on/off analyzed for field study sites described in the paper, "Multi-year data from satellite- and ground-based...

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• xml

• Organization: Department of the Interior
• Updated: 2021-06-16T00:00:00Z

We simulate over 28,000 datasets and saved their model outputs to answer the following three questions: (1) what is an adequate sampling design for the multi-scale occupancy model when there are...

• xml
• xml

• Organization: U.S. Environmental Protection Agency
• Updated: 2019-04-30

Neonicotinoid pesticides are applied to seeds and are known to cause lethal and sub-lethal effects in birds and mammals. Neonicotinoid-treated seeds could be available to wildlife through spillage...