• Organization: Department of Energy
• Updated: 2021-03-01T20:17:14Z

Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2023-07-21

The dataset includes Sentinel-2 spectral data for all bands spatiotemporally matched with available chlorophyll a concentration data from several data sources including the Water Quality Portal.

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• Organization: National Aeronautics and Space Administration
• Updated: 2026-02-17

ATCS is a dataset designed to train deep learning models to volumetrically segment clouds from multi-angle satellite imagery. The dataset consists of spatiotemporally aligned patches of...

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• Organization: Department of the Interior
• Updated: 2020-10-16T00:00:00Z

We applied spatially-explicit models to a spatiotemporally robust dataset of greater sage-grouse (Centrocercus urophasianus) nest locations and fates across wildfire-altered sagebrush ecosystems...

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• Organization: Department of Agriculture
• Updated: 2025-11-21

This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2025-09-09T00:00:00.000+00:00

This dataset contains two improved surface pCO2 products, along with surface pCO2 from the INCOIS-BIO-ROMS model (pCO2_model) and other input variables. It is a long-term, high-resolution dataset...

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• Organization: National Aeronautics and Space Administration
• Updated: 2026-02-17

This dataset contains estimates of biogenic CO2 flux components at 0.05 degree resolution from the Solar-Induced Fluorescence (SIF) for Modeling Urban biogenic Fluxes (SMUrF) model. Estimates were...

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• Organization: Department of Energy
• Updated: 2022-01-10T00:00:00Z

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-04-01

UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL RANDOM FORESTS AMY MCGOVERN, TIMOTHY SUPINIE, DAVID JOHN GAGNE II, NATHANIEL TROUTMAN, MATTHEW COLLIER, RODGER A....

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• Organization: Department of Energy
• Updated: 2022-05-04T00:00:00Z

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of...

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• Organization: Department of Energy
• Updated: 2021-03-01T20:11:47Z

This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting control-based techniques to maximize effectiveness of a...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2007-07-01T00:00:00.000+00:00

The Blended Global Sea Surface Winds products contain ocean surface wind vectors and wind stress on a global 0.25 degree grid, in multiple time resolutions of 6-hourly and monthly, with an 11-year...

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• Organization: Department of Agriculture
• Updated: 2025-08-27

Data files for manuscript titled "Mixed responses of tenebrionid beetles to solar energy development in the Mojave Desert".Contains 2 .csv files: Metadata and Master Data that contains plot IDs,...

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• csv