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Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery

This data release contains one point shapefile describing cattle access to streams for three USGS showcase watersheds: Smith Creek, Conewago Creek, and Upper Chester River. This data release identifies areas where cattle were able to access the stream, as well as possible cattle access areas. Streams were defined using a combination of geospatial data and aerial imagery and cattle access points we

Lidar-derived digital elevation models in Clarksburg, MD representing the years 2002, 2008, 2013, and 2018

This is a collection of 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2002, 2008, 2013, and 2018. Coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA). Overall extent varies between each dataset, but all digital elevation models are aligned together with consistent overla

Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021)

This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the f

Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2021

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2021. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation

MODFLOW-NWT model with SWI2 used to evaluate the water-table response of sea-level rise and change in recharge, Assateague Island, Maryland and Virginia:

A three-dimensional groundwater flow model, MODFLOW-NWT with the SWI2 module, was developed to provide a better understanding of the fresh groundwater system of Assateague Island, Maryland and Virginia. Groundwater flow on Assateague Island was simulated to evaluate the effects of sea-level rise and changes in recharge on the depth to freshwater below the land surface, changes in freshwater di

Soil-Water Balance model datasets used to estimate groundwater recharge in parts of North Carolina, South Carolina, and Georgia under 2015 conditions and future conditions using three downscaled climate models paired with two land cover scenarios

Groundwater recharge is an important part of water budget estimation and is a critical data component used in creating and calibrating groundwater flow models such as MODFLOW. Soil Water Balance Models (SWB) can be used to estimate potential groundwater recharge across spatial domains and through time. This metadata record describes an SWB archive for parts of the Coastal Plain of North Carolina,

Volatile Organic Compound and Other Analyses Associated with Laboratory Microcosm Experiments to Determine Biodegradation Rates in Fractured Sedimentary Rock at the Former Naval Air Warfare Center in West Trenton, New Jersey, 2016–18

This metadata record presents analytical results for laboratory microcosms conducted during 2016-18 as part of a study to develop a field test and numerical interpretation method to determine the effective diffusion coefficients and sorption coefficients of trichloroethene (TCE) and daughter products in the rock matrix of sedimentary rock, as well as biodegradation rate coefficients in the borehol

Visible and near-infrared spectroscopy for sediment samples collected across North-eastern U.S.

This data record contains a CSV file with spectral reflectance (420-2114 nm) for sediment samples collected from each of four source locations (cropland, stream bank, glaciolacustrine, and street dust) located across sites in the Northwestern US during prior studies. Data were collected in a laboratory setting using Spectrecology USB4000-VIS-NIR and NIRQuest512-2.2 spectrometers. The data contain

SPARROW model input datasets and predictions of nitrogen loads in streams of the Chesapeake Bay watershed

This data release contains mean-annual total nitrogen (TN) loads predicted by a SPARROW model for individual stream and shoreline reaches in the Chesapeake watershed as defined by NHDPlus, a 1:100,000 scale representation of stream hydrography built upon the National Hydrography Dataset (NHD) (Horizon Systems, 2010). Also included are the input variables required to execute the model, including la

Data for Specific Gage Analysis on the Patapsco River, 2010-2017

The U.S. Geological Survey, in collaboration with American Rivers and other partners, conducted a monitoring program beginning in 2010 to track river response to a series of dam removals on the Patapsco River intended to restore anadromous fish habitat in the watershed. Dam removals included the November 2010 removal of the Simkins dam, a 3.3 m tall and 66 m wide dam, with a reservoir sediment vol

Low-streamflow and precipitation trends for 183 U.S. Geological Survey streamgages in the Chesapeake Bay Watershed

This data release contains low-streamflow trend results from 183 U.S. Geological Survey (USGS) streamgages and precipitation trend results from gaged watersheds within the Chesapeake Bay Watershed. Data include streamgage identification number, trend slopes and significance for several low-streamflow and precipitation metrics.

Dam impact/disturbance metrics for the conterminous United States, 1800 to 2018

This metadata record describes two metrics that quantitatively measure the impact of reservoir storage on every flowline in the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. These metrics are computed for every 10 years from 1800 - 2015. The first metric ( estimates reservoir storage intensity in units of days based on reservoir storage in a contrib