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Global demand for energy has increased by more than 50 percent in the last half-century, and a similar increase is projected by 2030. This demand will increasingly be met with alternative and unconventional energy sources. Development of these resources causes disturbances that strongly impact terrestrial and freshwater ecosystems. The Marcellus Shale gas play covers more than 160,934 km(2) in an area that provides drinking water for over 22 million people in several of the largest metropolitan areas in the United States (e.g. New York City, Washington DC, Philadelphia & Pittsburgh). Here we created probability surfaces representing development potential of wind and shale gas for portions of six states in the Central...
Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the...
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In 2022, publication and data linkages were evaluated using two methods in an effort to understand how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) since the 2016 USGS instructional memorandum, Public Access to Results of Federally Funded Research at the U.S. Geological Survey: Scholarly Publications and Digital Data (USGS OSQI, 2016), went into effect, requiring USGS data be assigned a DOI, be accompanied by a citation, and be referenced from the associated publication (USGS OSQI, 2017). This data release includes data and publication structural metadata results retrieved from the USGS DOI Tool and Crossref APIs and Jupyter notebooks used to process and analyze the results.
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The ViTexOCR script presents a new method for extracting navigation data from videos with text overlays using optical character recognition (OCR) software. Over the past few decades, it was common for videos recorded during surveys to be overlaid with real-time geographic positioning satellite chyrons including latitude, longitude, date and time, as well as other ancillary data (such as speed, heading, or user input identifying fields). Embedding these data into videos provides them with utility and accuracy, but using the location data for other purposes, such as analysis in a geographic information system, is not possible when only available on the video display. Extracting the text data from imagery using software...
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These data consist of down-looking images of Lake Michigan benthos, collected in 2020 and 2021 with an autonomous underwater vehicle (AUV). Information about each image (i.e., latitude, longitude, depth from surface, altitude, roll, pitch, yaw, and creation time) can be found in the associated csv file. Substrate type was divided into 9 classes based on the Coastal and Marine Ecological Classification Standard (CMECS) and each image was assigned a substrate class by at least 3 trained labelers.
    map background search result map search result map Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021 Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021