cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7pc318r
title: USGS Gap Analysis Project Additional Data: Human Impact Avoidance

description: Environments dominated by human disturbance such as roads, cities, and the constructed materials that support human habitation have profound effects on species. For most species, this data layer was used to exclude species from a portion of the landscape. However, some species respond favorably to human habitats, therefore this data layer was used in an inclusionary manner. The human impact avoidance dataset describes high exclusion/high inclusion proximity to urban environments, and roads. This dataset was derived from US Census TIGER/Line files and the GAP Analysis Project's (GAP) National Land Cover Database developed by USGS, in particular the impervious dataset. These data are divided into 6 regions across the US (Northwest, Southwest, Great Plains, Upper Midwest, Southeast, and Northeast). If you want complete coverage of the entire US, all 6 regional files are needed. These raster data have a 30 m x 30 m cell resolution. Level of avoidance: High - For species that are very intolerant of human disturbance. All portions of the landscape identified as being directly influenced by human disturbance are eliminated from the predicted distribution. Medium - For species that are moderately intolerant of human disturbance. Only portions of the landscape identified as being highly or moderately influenced by human disturbance are eliminated from the predicted distribution. Low - For species that are partially intolerant of human disturbance. Only portions of the landscape identified as being highly influenced by human disturbance are eliminated from the predicted distribution. No selection of this parameter indicates the species' model is not contingent on an index of human disturbance. GAP used the best information available to create the human impact avoidance ancillary data; however GAP seeks to improve and update these data as new information becomes available.
DOI: 10.5066/p9r6cx2t
title: Depth to Groundwater Measured from Wells Completed in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston Area, Texas, 2021

description: This dataset documents the depth to groundwater measured in wells screened in the Chicot aquifer, Evangeline aquifer, Jasper aquifer, Burkeville confining unit, Catahoula confining system, or a combination of multiple hydrogeologic units in the greater Houston area, Texas for 2021. The U.S. Geological Survey prepared this dataset in cooperation with the Harris?Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District. This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to information regarding depths to groundwater in the region. All of the data in this dataset were collected from November 2020 through March 2021 and are stored in the National Water Information System (NWIS), a publicly available, searchable, online database of water information (http://doi.org/10.5066/F7P55KJN). These digital data accompany a U.S. Geological Survey Scientific Investigation Report by Braun and Ramage (2021).
DOI: 10.5066/p9t8olsl
title: Irrigated field characterization at Fort Irwin National Training Center, San Bernardino County, California, 2018-2020

description: The U.S. Army Fort Irwin National Training Center (NTC), approximately 35 miles north-northeast of Barstow, California, obtains all of its potable water supply from three groundwater basins (Irwin, Langford, and Bicycle Basins) within the NTC boundaries. In these basins, groundwater withdrawals exceed natural recharge, resulting in water-level declines. However, managed aquifer recharge using treated wastewater has offset water-level declines in Irwin Basin. Additionally, localized water-quality changes have occurred in some parts of Irwin Basin as a result of human activities (for example, wastewater disposal practices, landscape irrigation, and (or) leaking pipes). As part of a research study in cooperation with the U.S. Environmental Protection Agency (EPA) and the U.S. Army, the U.S. Geological Survey (USGS) collected eight electrical resistivity tomography surveys on irrigated fields in Irwin Basin. Borehole geophysical logs were collected in three monitoring well sites near one of the irrigated fields.
DOI: 10.5066/p9a91w4z
title: Geospatial data for select U.S. Geological Survey streamflow-gaging stations in New Mexico, Oklahoma, and Texas useful for statistical study of annual peak streamflows in and near Texas

description: This dataset provides watershed delineations for 1,703 U.S. Geological Survey (USGS) streamgaging stations (gages) for geospatial statistical study of peak streamflows in and near Texas. These streamgaging stations are in Texas, Oklahoma, and New Mexico (east of the Great Continental Divide) with some of the watersheds associated with the 1,703 streamgaging stations extending into several surrounding states or into Mexico. Watershed characteristics are indexed by using the National Hydrography Dataset (NHD) version 2.2.1 Indexing was accomplished by using the Permanent Identifier (PERMID; a string that uniquely identifies each feature in the NHD) and by using the USGS identification number for the streamgaging station (gage). The following watershed characteristics are included: watershed centroid, area, perimeter, basin shape index, sinuosity, drainage area, contributing drainage area, functional drainage area, summed values per watershed from the National Inventory of Dams (NID), mean watershed slope, main-channel slope, 10-85 slope, streamgaging station point elevation, mean elevation per watershed, mean annual precipitation per streamgaging station, mean annual and monthly precipitation per watershed, mean annual and monthly solar radiation per streamgaging station, mean annual and monthly solar radiation per watershed, hydrologic soil groups per watershed, land cover per watershed, and multi order hydrologic position of streamgaging stations and stream segments. The watershed characteristics in this dataset are used to describe the point at the USGS streamgaging station, the full watershed that defines each site, and the main channel segment of each watershed.
DOI: 10.5066/p99onunm
title: Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake

description: These data present geolocated photographs, GPS tracks, and field-mapped ground failures collected during the USGS reconnaissance of ground failures following the 2018 M7.1 Anchorage Earthquake.
DOI: 10.5066/f7tt4q4b
title: Pre- and post-event digital elevation models generated from high-resolution stereo satellite imagery of the 2016 Lamplugh rock avalanche in Glacier Bay National Park and Preserve, Alaska

description: The use of high-resolution remotely sensed imagery can be an effective way to obtain quantitative measurements of rock-avalanche volumes and geometries in remote glaciated areas, both of which are important for an improved understanding of rock-avalanche characteristics and processes. We utilized the availability of high-resolution (~0.5 m) WorldView satellite stereo imagery to derive digital elevation data in a 100 km2 area around the 28 June 2016 Lamplugh rock avalanche in Glacier Bay National Park and Preserve, Alaska. We used NASA Ames Stereo Pipeline, an open-source software package available from NASA, to produce one pre- and four post-event digital elevation models (DEMs) of the area surrounding the Lamplugh rock avalanche. This data release includes five raster elevation datasets (2-m resolution) in GeoTIFF format that have been orthrectified to the Universal Transverse Mercator (UTM) coordinate system (zone 7N). Elevations are measured in reference to the World Geodetic System 1984 (WGS84) ellipsoid. Because the study area is remote and difficult to access, ground control was not available to assess the absolute accuracy of DEMs. The DEMs have not been precisely co-registered. Data contained in this release include a pre-event DEM from 15 June 2016, and post-event DEMs from 16 July 2016, 27 August 2016, 27 September 2016, and 28 September 2016. The filenames for these DEMs are 20160615_LamplughDEM.tif, 20160716_LamplughDEM.tif, 20160827_LamplughDEM.tif, 20160927_LamplughDEM.tif, and 20160928_LamplughDEM.tif, respectively. We also provide a CSV file (Lamplugh_DEM_Image_Notes.csv) that contains the acquisition date, satellite platform, image identification number, resolution, off-nadir angle, and notes on image quality for each stereo pair used to generate DEMs.
DOI: 10.5066/f7js9nzb
title: Evapotranspiration (ET) at University of Central Florida urban site, daily data, Orange County, Florida, January 29, 2009 - September 27, 2012

description: This U.S. Geological Survey (USGS) data release consists of daily evapotranspiration (ET) measurements/estimates for the time period January 29, 2009 to September 27, 2012. These data are derived from measurements of actual ET conducted at a height of 73 meters on the University of Central Florida WUCF 89.9 radio tower. The station is located at a nearly flat site (28 degrees 35 minutes 27 seconds North / 081 degrees 12 minutes 17 seconds West) within Orange County, Florida. The surrounding landscape is composed (2009 Land cover and land use, St. Johns River Water Management District www.sjrwmd.com) of urban (61 percent), non-urban (34 percent) and water (5 percent) within an 8 kilometer radius of the radio tower. Actual ET measurements were derived using the eddy-covariance method. Funding from St. Johns River Water Management District and Southwest Florida Water Management District is acknowledged.
DOI: 10.5066/p9qabfml
title: Supplemental Data: Hydrologic Budget of the Harney Basin Groundwater System, Southeastern Oregon, 1982-2016

description: This USGS data release presents data used to estimate and summarize hydrologic budget components of the Harney Basin groundwater system, Southeastern Oregon, 1982-2016. The supplemental data consist of five child items. The child items are: (1) Harney Basin Boundaries: Hydrographic Area, Groundwater Evapotranspiration Area, Regions, Lowlands, Uplands, and Selected Watersheds in Harney Basin, Southeastern Oregon, (2) Evapotranspiration Units Delineated by Region in the Harney Basin Groundwater Evapotranspiration Area and Evapotranspiration-Unit Observations, Southeastern Oregon, (3) Mean Annual (1987-2015) Net Evapotranspiration in the Harney Basin Lowlands, Southeastern Oregon, Estimated with the Empirical Method, (4) Measured and Estimated Daily and Water-Year Streamflow Data and Estimated Spring Flow Data in Harney Basin, Southeastern Oregon, 1982-2016, and (5) Analytical model relating precipitation distributions to streamflow.
DOI: 10.5066/f7xd10mk
title: Irrigated Acreage Delineated from Landsat-Derived Maximum Normalized Difference Vegetation Index (NDVI) 1975-2010, Walker River Basin Nevada and California

description: These data represent the extent and spatial distribution of irrigated acreage delineated from maximum Normalized Difference Vegetation Index (NDVI) derived from Landsat scenes in the Walker River Basin, California and Nevada, at five-year intervals from 1975-2010. The field boundaries in this data set are digitized from one-year composite maximum NDVI data derived from atmospherically corrected Landsat 2 Multispectral Scanner (MSS), Landsat 5 MSS, and Landsat 5 Thematic Mapper (TM) scenes. NDVI was calculated from the corrected reflectance data for each selected scene during the growing season (May through early October) and a single, composite image of maximum NDVI values was derived for each 5-year interval. Selecting the maximum NDVI value removed low values associated with plant phenology, harvest cycles, and irrigation operations. Initial field boundaries were digitized from the 2010 National Agriculture Imagery Program (NAIP) data and boundary geometries were divided and shaped based on temporal changes in irrigation practices, crop rotations, and other changes identified in the Landsat-derived maximum NDVI data. Each polygon is attributed with an estimated irrigation status of irrigated or non-irrigated. Mapped fields were classified as irrigated dur
DOI: 10.5066/f7t43sdg
title: Effects of wind-energy facilities on breeding grassland bird distributions - data release

description: This data release contains breeding-bird densities in native mixed-grass prairie collected from 2003 to 2012 at and adjacent to wind farms in North and South Dakota, USA, for one year prior to turbine construction and several years post-construction. One dataset contains breeding-bird densities per 100 ha by distance from turbines for categories of 0-100 m, 100-200 m, 200-300 m, and greater than 300 m from turbines and for reference (i.e., control) sites. A second dataset contains breeding-bird density overall for turbine and reference sites, without the distance-category breakdown. A third dataset contains measurements that characterize average vegetation structural measurements on each study plot. This data release supports the following manuscript: Shaffer, J.A., and Buhl, D.A., 2016, Effects of wind-energy facilities on breeding grassland bird distributions: Conservation Biology, v. 30, p. 59-71, https://doi.org/10.1111/cobi.12569.
DOI: 10.5066/f7nc5zfm
title: Active Layer Data from the Yukon River Basin in Alaska and Canada

description: The active layer data available here has been collected as part of a collaborative monitoring project between the US Geological Survey, Yukon River Inter-Tribal Watershed Council, and Yukon River Basin communities known as the Active Layer Network (ALN). The active layer is the layer of soil above the permanently frozen ground (permafrost) that thaws during the summer months and freezes again in the autumn. By measuring the depth of the active layer in the late summer at the time of maximum thaw, we are able to better understand the effects of a warming climate on permafrost. ALN monitoring sites were installed across the Yukon River Basin, in Alaska and Canada, in 2009 and 2010. Each monitoring site consists of a 45 meter by 45 meter grid and sensors. Active layer depth measurements are taken every 5 meters across the grid resulting in 100 measurements made each year. Sensors installed at each location include soil moisture, soil temperature, and air temperature sensors. Sensor data is collected throughout the year and downloaded annually. Active layer depth measurements and sensor data are presented here.
DOI: 10.5066/f77h1hgt
title: USGS Gap Analysis Project Additional Data: Modeling Regions

description: This dataset was used in the USGS Gap Analysis Project (GAP) species habitat distribution modeling process. Processing constraints made it impractical to model the species habitat distributions across the full conterminous U.S. in one model. The modeling regions were used to stratify the lower 48 states into modeling extents that could be efficiently used in our workflow. The regions were based on grouping of the map zones developed for the National Land Cover Dataset production and were designed to partition the full extent into the minimal number of regions while maximizing the homogeneity of habitats within a region. Two versions of each modeling region were created one in which a buffer was applied to remove boundary issues when calculating metrics based on neighborhoods, and a version used to clip the final model output for that region tightly to the region boundary. These raster data have a 30 m x 30 m cell resolution. GAP used the best information available to create the modeling regions ancillary data; however GAP seeks to improve and update these data as new information becomes available.
DOI: 10.5066/p9krxyq8
title: Water quality measurements in off-channel water bodies of the Willamette River near Albany and Keizer, OR (2017 and 2019)

description: The tabular data sets and associated maps in this data release represent water-quality data that were collected between April and November of 2017 and between July and November of 2019 to describe baseline conditions prior to or sometimes following treatments using herbicides or other methods to reduce the biomass of non-native water primrose (Ludwigia) within off-channel water bodies of the Willamette River near Albany and Keizer, Oregon. The water-quality parameters measured in this study included water temperature, specific conductance, pH, dissolved oxygen, turbidity, total chlorophyll, phycocyanin (blue-green algae pigment), and fluorescing dissolved organic matter in surface water.
DOI: 10.5066/f7fj2fr5
title: Water Quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir, water year 2015

description: Water-quality data were collected by the Providence Water Supply Board (PWSB) from tributaries in the Scituate Reservoir drainage area, October 2014 through September 2015 (water year 2015). These data were used to calculate instantaneous loads and yields of constituents in a report by the U.S. Geological Survey. Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 36 tributaries in the Scituate Reservoir drainage area. Water-quality samples were collected following a strict sampling schedule so that water-quality samples would be representative of various weather conditions. Samples were analyzed at the PWSB water-quality laboratory at the P.J. Holton Water Purification Plant in Scituate, Rhode Island. Water-quality properties and constituent concentrations were measured by using unfiltered water samples. These water-quality properties included pH, alkalinity, color, turbidity, and concentrations of chloride, nitrite, nitrate, orthophosphate, and bacteria (Escherichia coli [E. coli] and total coliform).
DOI: 10.5066/p9us1b3s
title: Data for the 2009 report Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada

description: This U.S. Geological Survey data release contains data for Smith and Mason Valleys, California and Nevada, from the 2009 publication: Lopes, T.J.,and Allander, K.K., 2009, Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada: U.S. Geological Survey Scientific Investigations Report 2009–5155, https://doi.org/10.3133/sir20095155. Data include (1) 1:24,000-scale hydrographic areas, (2) selected well sites used to develop autumn 2006 groundwater-level contours, and (3) autumn 2006 groundwater-level contours. Since the publication of Lopes and Allander (2009), the positional coordinates and land-surface altitudes at selected well sites used to develop autumn 2006 groundwater-level contours in that report were updated as part of a 2022 U.S. Geological Survey study (Davies and Naranjo, 2022).
DOI: 10.5066/f7xw4hpn
title: USGS Gap Analysis Project Additional Data: Forest Edge

description: The ecotone (i.e., edge) between forested and non-forested environments can be a critical aspect of habitat. We grouped land cover types - ecological systems, human land use, and water - (subsequently referred to as map units) into forested, non-forested, and shrubland/woodland land cover types to create unique data layers. These data layers can then be buffered at specified distances to identify species' habitats. Aggregated map units can be compared and contrasted to identify areas of transition between these broad categories. They can also be used to identify core areas or contiguous blocks of similar type (i.e., interior) through buffering. This dataset was derived from the USGS Gap Analysis Project (GAP) National Land Cover data. Forested map units included deciduous forest, evergreen forest, mixed forest, palustrine forested wetland, and estuarine forested wetland. Non-forested map units were defined as water, pasture/hay, agricultural areas, urban/developed, marshes, beaches, etc. Woodland/shrubland map units were defined as those ecological systems and land uses containing a majority of short, scrubby, woody vegetation or sparsely canopied treed vegetation. Forest edge was processed using ESRI Arc Macro Language scripts and reclass tables to facilitate the development of Forest edge. Although scripts were consistent nationwide, the reclass tables were region specific. Forest and nonForest classes are identified in landcover grid with a reclass table, and then focalmajority is used to remove small isolated pixels prior to buffering. Buffering is done with 2 grids; one for exterior buffers (FROM) and one for interior buffers (INTO). The forest edge data layer has unique aggregations of forest and non-forest map units. Utilizes Forest Interior: For species that require interior forest. Buffer distances must be identified to utilize this input. Avoids Forest Interior: For species that avoid interior forest. Buffer distances must be identified to utilize this input. FROM Buffer: 0, 30, 60, 120, 250, 500, 1000, 2000, 4000, and 9999 (less than 4000 m) INTO Buffer: 0, 30, 60, 120, 250, 500, 1000, 2000, 4000, and 9999 (greater than 4000 m) These data are divided into 6 regions across the US (Northwest, Southwest, Great Plains, Upper Midwest, Southeast, and Northeast). If you want complete coverage of the entire US, all 6 regional files are needed. These raster data have a 30 m x 30 m cell resolution. No selection of this parameter indicates the species' model is not contingent on an forest edge. GAP used the best information available to create the forest edge ancillary data; however GAP seeks to improve and update these data as new information becomes available.
DOI: 10.5281/zenodo.7016245
title: 3D upper crustal Vs model beneath the Anninghe fault zone

description: The dataset has a format of "longitude (deg), latitude (deg), depth (km), Vs (km/s), Vp (km/s), density (g/cm^3)". More details on how we obtained this model please refer to the associated manuscript, titled "Apparent low-velocity belt in the upper crust of the Anninghe fault zone in SW China and its implications for seismotectonics and earthquake hazard assessment", which might be published in the future.
DOI: 10.5281/zenodo.7109320
title: Dataset of CCFs, dispersion data, synthetic ambient noise data, and rupture simulation data in the Anninghe study

description: This is the main dataset supporting the Anninghe paper. sta.loc represents the station list file.<br> 3DVelocityModel folder contains the final velocity model file Anninghe_Vs3D.dat.<br> CCFs_Original folder contains the original CCFs obtained from the Anninghe array.<br> CCFs_Separated folder contains the CCFs after model separation. In CCFs_Separated folder, the merge folder is the final average CCFs used for later tomography.<br> DisperData folder contains the seimiautopicked dispersion data from the separated CCFs.<br> RuptureSimulation folder contains the rupture simulation data in the paper.<br> SynNoiseData folder contains the CCFs calculated from synthetic ambient noise data.<br>
DOI: 10.5066/f75d8qqf
title: USGS Gap Analysis Project Additional Data: Slope

description: The slope dataset was derived from the National Elevation Dataset and resulted in a slope dataset that is of the same resolution as the 30 m land cover dataset. Slope was reported in degrees. Slope is defined as the ratio of the rise divided by the run between two points on a line, expressed in degrees. Slope was generated using ArcGIS Spatial Analyst, with the USGS National Elevation Dataset as input. For quality information regarding the National Elevation Dataset, see http://ned.usgs.gov/ These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m x 30 m cell resolution. The Gap Analysis Project (GAP) used the best information available to create the slope data; however GAP seeks to improve and update these data as new information becomes available.