29 datasets found
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Federal
Estimated floodplain map for the conterminous United States
U.S. Environmental Protection Agency —
Understanding the relationship between flood inundation and floodplains is critical for ecosystem and community health and well-being, as well as targeting floodplain... -
Federal
Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis
U.S. Environmental Protection Agency —
The dataset and experimental and predicted amenability calls are provided in the supplemental file “Supplemental_ToxCast_PhaseII.xlsx”. PaDEL descriptors were... -
Federal
Johnston Draw (Idaho) High Resolution Pre-Fire Vegetation Map 2023
Department of Agriculture —
The variability of vegetation in rangelands can be over generalized in spatial representation and vegetation types mapped by moderate resolution vegetation maps. A... -
Federal
Data from: Topographic position index predicts within-field yield variation in a dryland cereal production system
Department of Agriculture —
We investigated drivers of sub-field spatial variability in yield for 3 crops (hard red winter wheat, Triticum aestivum L. variety Langin; corn, Zea mays L.; and... -
Federal
Assessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries
U.S. Environmental Protection Agency —
These are these are the data used in the paper: Assessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries. This... -
Federal
Lithium observations, machine-learning predictions, and mass estimates from the Smackover Formation brines in southern Arkansas
Department of the Interior —
Global demand for lithium, the primary component of lithium-ion batteries, greatly exceeds known supplies and this imbalance is expected to increase as the world... -
Federal
Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains
Department of the Interior —
Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average... -
Federal
CyAN Predictor Ranks - Upper Midwest USA
U.S. Environmental Protection Agency —
This dataset ranks 88 predictors run in a random forest analysis for 369 freshwater lakes in the Upper Midwest USA. This dataset is associated with the following... -
Federal
Catchments and Variables Used for Random Forest Classification and Regression Groundwater and Surface Water Models for Nitrate Violation classes, Violation concentrations, or Percent of Systems in Violation for Public Drinking Water Supplies
U.S. Environmental Protection Agency —
This research used public drinking water nitrate violations data from across the conterminous United States as response variables, and various predictor variables... -
Federal
Model performance and output variables for phenological events across land cover types in the Northwestern Plains, 1989-2014
Department of the Interior —
Many aspects of recurring plant developmental events – vegetation phenology – are measured by remote sensing. By consistently measuring the timing and magnitude of... -
Federal
Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains
Department of the Interior —
Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average... -
Federal
Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains
Department of the Interior —
Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average... -
Federal
Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software, GeoTIFF formatted
Department of the Interior —
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels... -
Federal
Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019
Department of the Interior —
The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential.... -
Federal
Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software, GeoTIFF formatted
Department of the Interior —
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels... -
Federal
Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software, GeoTIFF formatted
Department of the Interior —
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels... -
Federal
Predicted Calving and Post-calving Season Resource Use of the Porcupine Caribou Herd During 2012–2018 With Future Projections for the 2030s, 2040s, and 2050s
Department of the Interior —
This dataset contains rasters and polygon shapefiles related to predicted resource use of the Porcupine Caribou Herd (PCH) during the calving (26 May–10 June) and... -
Federal
Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 2.0, September, 2022)
Department of the Interior —
This data release documents the data used for the associated publication "Evaluating hydrologic region assignment techniques for ungaged watersheds in Alaska, USA"... -
Federal
Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019
Department of the Interior —
The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential.... -
Federal
Model performance and output variables for phenological events across land cover types in the Northwestern Plains, 1989-2014
Department of the Interior —
Many aspects of recurring plant developmental events – vegetation phenology – are measured by remote sensing. By consistently measuring the timing and magnitude of...
29 datasets found