Data

This metadata record documents six LiDAR point clouds, six point cloud generation reports, and three comma-delimited tables that contain information on local channel morphology and topography for a select number of reaches along Midway Branch and its associated tributaries within the confines of Fort George G. Meade, Fort Meade, Maryland. Point cloud generation reports include diagnostic informati

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent th

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 individual catch

This metadata record describes the 30 year (1990-2019) annual average difference between precipitation potential evapotranspiration in millimeters in geotiff format. The source data is based on the ClimGrid netcdf data for precipitation and temperature (Wieczorek and others, 2022). Units are millimeters.

Freshwater salinization is an emerging issue for freshwater environments in the Chesapeake Bay, USA region. Salinization is often described by measurements of specific conductance (SC). This data release contains specific conductance observations collected by multiple regional agencies for streams within the Chesapeake Bay Watershed. This inventory compiles and harmonizes data from the Water Quali

This data release contains input and output data tables from a SPAtially Referenced Regression On Watershed attributes (SPARROW) model, which estimated total nitrogen loads in streams of the Chesapeake Bay watershed under varying better management practice implementation scenarios. Further documentation about the SPARROW modeling framework can be found here: https://pubs.er.usgs.gov/publication/tm

This model archive documents the Soil-Water-Balance (SWB) model used to simulate potential recharge for portions of Pennsylvania and Maryland from 2000 to 2021. The Pennsylvania and Maryland SWB model was used to create output at a 250 meter grid scale. Model parameters were adjusted using baseflow estimates from 36 reference watersheds varying in area from 0.37 to 817 square miles. The simulation

This data release includes data created, collected, and/or otherwise modified in the process of quantifying a sediment budget for the Smith Creek Watershed near New Market, Virginia, USA. Five raster files are included, namely a modeled index of hydrological connectivity, a raster model of modeled floodplain depositional masses and extent, a rasters of modeled gross and delivered upland erosion, a

This metadata record describes the 30-year annual average of precipitation in millimeters (mm) and temperature (Celsius) during the period 1990–2019 for North America. The source data were produced by and acquired from DAYMET daily climate data (2020) and presented here as a series of two 1-kilometer resolution GeoTIFF files. An open source python code file used to process the data is also include

This data release contains one shapefile describing cattle access to a total of 36 different sub basins within the Smith Creek Watershed located in Virginia and West Virginia. This data release identifies areas in satellite imagery where cattle were observed to have access to the stream (confirmed access), areas where cattle exist, and are not fenced off from the stream (unrestricted access), and

Aerial imagery acquired using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution three-dimensional (3D) point clouds, orthomosaic images, and digital elevation models (DEMs). This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of

In June 2019, the U.S. Geological Survey Maryland-Delaware-District of Columbia Water Science Center (MD-DE-DC WSC) team began to collect and inventory available information on toxic contaminants within the Chesapeake Bay Watershed. State agencies were contacted to determine available data. Also, the National Water Information System (NWIS) and National Water Quality Database (NWQD) were queried t