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Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
This data release provides access to a low-altitude, aeromagnetic survey of a part of south-central Washington centered approximately 30 km east of Yakima and referred to as the Hanford aeromagnetic survey. The survey includes the city of Richland, numerous smaller communities, and the Hanford Site (https://www.hanford.gov). The Hanford aeromagnetic survey extends from the Columbia Plateau westward to the Cascade Range and illuminates magnetic anomalies associated with folds and faults of the Yakima folds, including the Toppenish Ridge, Ahtanum Ridge, Umtanum Ridge, Boyleston Mountain, Rattlesnake Mountain, Saddle Mountains, and Frenchman Hills anticlines. These data were acquired during September and October, 2009,...
The U.S. Geological Survey collected topographic data in cooperation with the U.S. Army Corps of Engineers to assist in the management of two recreation areas at Blue Mountain Lake and near Nimrod Lake in Arkansas. Data were collected March 3-4, 2020 using terrestrial light detection and ranging (T-lidar) surveying equipment, Global navigation Satellite System (GNSS) surveying equipment, and conventional surveying techniques. The surveyed locations had a parking area, boat ramp, and some small recreational structures. Each site was surveyed using a FARO 3D tripod-mounted T-lidar unit. Additionally, a topographic survey was conducted in order to georeference the lidar survey. These topographic data were collected...
This dataset provides location information for the seismic reflection line CRmv across Crowleys Ridge in the New Madrid seismic zone, central US. The seismic reflection data are interpreted and discussed in the associated publication
Categories: Data;
Tags: Arkansas,
Central United States,
New Madrid,
faults,
geoscientificInformation,
Corescan© Hyperspectral Core Imager Mark III (HCI-III) system data were acquired for hand samples, and subsequent billets made from the hand samples, collected during the U.S. Geological Survey (USGS) 2014, 2015, and 2016 field seasons in the Nabesna area of the eastern Alaska Range. This area contains exposed porphyry deposits and hand samples were collected throughout the region in support of the HyMap imaging spectrometer survey (https://doi.org/10.5066/F7DN435W) (Kokaly and others, 2017a). The HCI-III system consists of three different components. The first is an imaging spectrometer which collects reflectance data with a spatial resolution of approximately 500 nanometers (nm) for 514 spectral channels covering...
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
An initial reconnaissance survey in March 2016 and a subsequent survey in July 2016 was conducted to identify possible groundwater discharge points along the stream reach using a forward-looking infrared (FLIR) camera in seasonal extremes. The high-resolution thermal imaging camera captures the emitted infrared radiation of the objects in view. Recent studies using similar ground-based thermal infrared imaging techniques have been successful in qualitatively locating groundwater discharge along discrete features, such as fractures and faults, as well as diffuse seepage along stream banks (Deitchman and Loheide, 2009; Pandey and others, 2013). Sites of interest were those where temperature differences were observed...
Switchgrass (Panicum virgatum L.), a highly productive perennial grass, has been recommended as one potential source for cellulosic biofuel feedstocks. Previous studies indicate that planting perennial grasses (e.g., switchgrass) in high topographic relief cropland waterway buffers can improve local environmental conditions and sustainability. The main advantages of this land management practice include (1) reducing soil erosion and improving water quality because switchgrass requires less tillage, fertilizers, and pesticides; and (2) improving regional ecosystem services (e.g., improving water infiltration, minimizing drought and flood impacts on production, and serving as carbon sinks). In this study, we mapped...
This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.
Radio-collared wolves in the Superior National Forest that were killed by other wolves or probably killed by wolves between 1968 and 2014
Categories: Data;
Types: Citation;
Tags: Canis lupus,
Gray wolves,
Minnesota,
Theme_Keyword,
USGS Science Data Catalog (SDC),
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