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Data to Estimate Water Use Associated with Oil and Gas Development within the Bureau of Land Management Carlsbad Field Office Area, New Mexico Data to Estimate Water Use Associated with Oil and Gas Development within the Bureau of Land Management Carlsbad Field Office Area, New Mexico
The purpose of this data release is to provide data in support of the Bureau of Land Management's (BLM) Reasonably Foreseeable Development (RFD) Scenario by estimating water-use associated with oil and gas extraction methods within the BLM Carlsbad Field Office (CFO) planning area, located in Eddy and Lea Counties as well as part of Chaves County, New Mexico. Three comma separated value...
Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis
The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.
Data to Support Hierarchical Models and Decision Support Maps to Guide Management of Subsidized Avian Predator Densities Data to Support Hierarchical Models and Decision Support Maps to Guide Management of Subsidized Avian Predator Densities
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 using a Bayesian hierarchical distance sampling approach with environmental covariates on detection and abundance. Concurrently, we modeled sage-grouse nest survival using a hierarchical frailty...
Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies
This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and...
Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River Basin during 2021. The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7) at five sites. This...
Data to support surface elevation change and vertical accretion data to support assessment of hummock formation/loss in tidal freshwater forested wetlands along the U.S. Atlantic coast (2009-2021) Data to support surface elevation change and vertical accretion data to support assessment of hummock formation/loss in tidal freshwater forested wetlands along the U.S. Atlantic coast (2009-2021)
This study evaluated surface elevation change and vertical accretion of sediments in hollows and on top of hummocks associated with the base of tree stems in tidal freshwater forested wetlands. Sites were along a gradient of habitat change from freshwater forest to marsh and tracked hollow subsidence and in-filling with transgression over 6 (Virginia) to 12 (South Carolina/Georgia) years...
Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey
The U.S. Geological Survey (USGS) developed a systematic, quantitative approach to prioritize candidate basins that can support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC4) with some of the smaller HUC4s being combined (hereafter referred to as modified HUC4 basins). Candidate basins for the...
Data used to test a video monitoring and computational system for estimating juvenile fish abundance Data used to test a video monitoring and computational system for estimating juvenile fish abundance
We developed and tested neural network-based models to recognize and count emigrating juvenile river herring in continuous video. Continuous video was collected from an underwater camera installed at Great Herring Pond in Bourne, Massachusetts (USA) between June and November 2017. Our algorithm extracts video frames to assess presence/absence of fish and count numbers of fish emigrating...
Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025) Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025)
This metadata record describes a series of data sets of natural, climatic, and anthropogenic landscape features processed as model inputs for the Data-Driven Drought Prediction Project of the Water Resources Mission Area Drought Program. These data are linked to two different spatial units: the National Hydrologic Geospatial Fabric version 1.1 (nhgfv1.1) including their associated...
Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States
This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to...
Database for the isopach map of the Brightseat Formation and Cretaceous–Paleogene boundary in Maryland and Virginia Database for the isopach map of the Brightseat Formation and Cretaceous–Paleogene boundary in Maryland and Virginia
The goal of the Atlantic Subsurface Stratigraphic Initiative (ASSI) is to create isopach and structural contour maps for all Coastal Plain formations within the Salisbury Embayment of Maryland and Virginia. Detailed information regarding thicknesses and extent of formations across state boundaries can then be utilized for more accurate documentation of the subaerial extent of aquifers...
Database of historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna counties, Pennsylvania Database of historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna counties, Pennsylvania
Abandoned railroads and infrastructure from the anthracite coal mining industry are significant features in abandoned mine lands and are an important part of history; however, these features are often lost and masked by the passage of time and the regrowth of forests. The application of modern light detection and ranging (lidar) topographic analysis, combined with ground-truthing "boots...