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Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset, has been developed for 30 US communities for the United States Environmental Protection...
Search relevance: 1.00 | Views last month: 11 | Catalog Last Checked: September 10, 2026 at 06:56 PM -
This layer represents modeled stream temperatures derived from the NorWeST point feature class (NorWest_TemperaturePoints). NorWeST summer stream temperature scenarios were developed for all...
Search relevance: 1.00 | Views last month: 5 | Catalog Last Checked: October 09, 2026 at 04:39 PM -
This layer represents modeled stream temperatures derived from the NorWeST point feature class (NorWest_TemperaturePoints). NorWeST summer stream temperature scenarios were developed for all...
Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: October 09, 2026 at 04:38 PM -
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented...
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Adaptation to climate change, a complex problem that requires innovative and collaborative solutions, can be aided by connecting individuals and helping them take action. A number of new networks,...
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This layer indicates the location of the observed stream temperature records used for the NorWeST database summaries. NorWeST summer stream temperature scenarios were developed for all rivers and...
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We combined approximately 28,000 raven point count surveys with data from more than 900 sage-grouse nests between 2009 and 2019 within the Great Basin, USA. We modeled variation in raven density...
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These data were compiled to fit an integrated population model of brown trout in the Glen Canyon Reach of the Colorado River and test different hypotheses regarding the driver of brown trout...
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These rasters are the result of calculating the difference in Greater Sage-grouse nest survival after a simulated reduction of raven density to 0.1 ravens per square kilometer. The difference in...
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Rasters representing median raven density estimates, calculated from approximately 28,000 raven point count surveys conducted between 2009 and 2019. Estimates were the result of a Bayesian...
Search relevance: 1.00 | Views last month: 2 | Catalog Last Checked: September 10, 2026 at 09:47 PM -
This data release includes a set of 25 rasters representing solutions (and associated input data) to two sagebrush conservation problems that identify optimal sites across the state of Wyoming for...
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Conservation planning efforts for sagebrush ecosystems of western North America increasingly focus on enhancing operational resilience though decision-support tools that link spatially explicit...
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A Groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates,...
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This file contains a spatial database compatible with the EPA H2O ecosystem services tool for the HUC8 watershed surrounding the town of Crisfield, MD USA. The file is publicly available on the...
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This layer represents modeled stream temperatures derived from the NorWeST point feature class (NorWest_TemperaturePoints). NorWeST summer stream temperature scenarios were developed for all...
Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: October 09, 2026 at 04:39 PM -
These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time...
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This recorded webinar provides background on the Value of Information (VOI) App and demonstrates how to use the application. The webinar walks through a public example dataset and includes slides...
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This is a presentation on Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics (Global Technology Connection), presented by Dr. Jesse...
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This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion...
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This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: October 25, 2026 at 12:12 AM