cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9s5pvon
title: Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake

description: This data release provides the locations of 43 landslides that occurred during the 2018 Anchorage, Alaska earthquake mapped from high-resolution lidar (1-m). Lidar data can be accessed via the Alaska Division of Geological and Geophysical Surveys elevation portal (https://elevation.alaska.gov). Each landslide is represented as a point corresponding to the approximate location of the mid-point of the landslide head scarp. Wherever possible, the outline of (39) landslides are also provided as polygons. Areal coverage of this data release is constrained to the availability of the 1-m resolution lidar. Within this area, this data builds upon Grant et al. (2020) by more accurately locating those observed landslide features and mapping their extent where possible. References Cited: Grant, A.R., Jibson, R.W., Witter, R.C., Allstadt, K., Thompson, E., Bender, A.M., and Schmitt, R.G., 2020, Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake: U.S. Geological Survey data release, https://doi.org/10.5066/P99ONUNM.
DOI: 10.5519/qd.tiq989qk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5066/p9bkl3ze
title: Data release for geochronology and geochemistry of volcanic rocks in the Southern Rocky Mountains and Taos Plateau volcanic fields and other Oligocene to Pleistocene volcanic rocks within the southern San Luis Basin and San Juan Mountains, southern Colorado and northern New Mexico

description: The dataset includes whole-rock geochemistry and 40Ar-39Ar geochronology for Pleistocene to Oligocene volcanic and intrusive rocks. These data support figures and tables in days 2 and 3 of the Field-trip guide to continental arc to rift volcanism of the southern Rocky Mountains-Southern Rocky Mountain, Taos Plateau, and Jemez Mountains volcanic fields of southern Colorado and northern New Mexico (Thompson and others, 2022). Additional 40Ar-39Ar geochronology data are included for age reported in the Geologic map of Ute Mountain quadrangle (Thompson and others, 2014b) and the Geologic map of Sunshine quadrangle (Thompson and others, 2014a). Other samples not associated with any of these referenced publications are also included. &gt; There [...]
DOI: 10.5066/f72n515b
title: USGS Gap Analysis Project Additional Data: Elevation

description: Some species respond to environments directly related to altitudinal variation. Elevation (e.g., DEM) is easily implemented in spatial modeling by limiting the model to the minimum and maximum values explicitly stated in the literature. DEMs are utilized directly and are measured in meters above mean sea level. The elevation dataset was derived from the National Elevation Dataset, elevation units are reported in meters. For more information regarding the National Elevation Dataset, see http://ned.usgs.gov/. This is a continuous data layer. 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. The USGS Gap Analysis Project (GAP) GAP used the best information available to create the elevation ancillary data; however GAP seeks to improve and update these data as new information becomes available.
DOI: 10.5066/p9j0fe5m
title: Location Information, Discharge, and Water-Quality Data for Selected Wells, Springs, and Streams in the Harney Basin, Oregon

description: This data release contains five comma separated value (csv) files that describe the location and water-quality data for wells, springs, and streams compiled for the U.S. Geological Survey (USGS) and Oregon Water Resources Department (OWRD) investigation of the groundwater resources of the Harney Basin, Oregon. The data included are site IDs, various site location information, well-construction details and hydrostratigraphy, monitoring status, spring elevation, summarized historic spring discharge, date of each spring discharge measurement, source of the discharge measurement, and results of geochemical analyses for sites sampled as part of the associated USGS Scientific Investigations Report. Some of the data presented here references sections of the the larger work which can be found here: Gingerich, S.B, Johnson, H.M., Boschmann, D.E., Grondin, G.H., and Garcia, C.A, 2021, Groundwater Resources of the Harney Basin, Oregon: U.S. Geological Survey Scientific Investigations Report XXXX, xx p, https://doi.org/10.3133/sirxxxx.
DOI: 10.5066/f75m64r5
title: Black-bellied Salamander (Desmognathus quadramaculatus) aBESAx_CONUS_2001v1 Range Map

description: This dataset represents a species known range extent for Desmognathus quadramaculatus (Black-bellied Salamander). These range maps are created by attributing sub-watershed polygons with information of a species presence, origin, seasonal and reproductive use.
DOI: 10.5066/f7gh9g3p
title: Data Documenting the U.S. Geological Survey Peak-Flow File Data Verification Project, 2008-16

description: These data provide a public summary of the changes made to the U.S. Geological Survey peak-flow file since formal Nation-wide checking began in 2008. Coverage includes peak-flow sites in the United States and territories.
DOI: 10.5066/p9nb0kut
title: Two-dimensional HEC-RAS models and topo-bathymetric datasets for the Willamette River, Oregon

description: This dataset contains two-dimensional hydraulic models throughout the Willamette River, extending from the McKenzie River confluence, near Eugene, to the city of Newberg. The study reach is separated into five individual models to simplify tributary inflow boundary conditions and for run-time efficiency. These models were developed to assess juvenile salmonid habitat at streamflows ranging from typical low summer flows to roughly the median annual high flow along each reach. Steady-state streamflow conditions were simulated in an unsteady flow simulation by holding streamflow constant for longer periods of time. Underlying these models is a digital elevation model, which combines bathymetric lidar, collected in 2017, with boat-based sonar data. Details on model and bathymetry development, calibration, and results can be found in the accompanying Scientific Investigation Report, Development of Continuous Bathymetry and Two-Dimensional Hydraulic Models for the Willamette River, Oregon.
DOI: 10.5066/f7jm28j1
title: USGS Gap Analysis Project Additional Data: Hydrography

description: Water and its location on the landscape are important aspects of a species distribution. A number of water related data layers were used to refine these USGS Gap Analysis Project species models. These include water type (i.e. flowing, open/standing), distance to and from water, and stream flow and underlying gradient. The source for this data was the USGS National Hydrography Dataset (NHD)(USGS 2007). Hydrographic features were divided into three types: flowing water, open/standing water, and wet vegetation. These feature types were extracted from the NHD by selecting the corresponding codes (the FCODE attribute) in datatables and creating seperate datasets for each data type. To facilitate their use in spatial modeling, these feature types were converted into grids and combined into 16 catagories where feature types overlapped. For each region there is the possiblity of having up to 21 different hydrographic buffer layers and within a model it is possible to have up to 72 different permutations of these layers.
DOI: 10.5066/p9kk0kzw
title: Data for the 1976 report Geohydrology of Smith Valley, Nevada, with special reference to the water-use period 1953-72

description: This U.S. Geological Survey data release contains data for Smith Valley, Nevada, digitized from plate 2 of the 1976 publication: Rush, F.E.,and Schroer, C.V., 1976, Geohydrology of Smith Valley, Nevada with special reference to the water-use period 1953-72: Nevada Department of Conservation and Natural Resources Water Resources Bulletin 43, 43p. Data are for spring 1972 and include groundwater-level contours and a groundwater divide polyline.
DOI: 10.5066/p9hdxe32
title: Yukon-Kuskokwim Delta Berry Outlook: Results from local expert surveys
DOI: 10.5066/p98ix48o
title: Groundwater-level altitudes and long-term groundwater-level Changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston Region, Texas, 2020

description: The U.S. Geological Survey (USGS) in cooperation with the Harris?Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District produced this dataset of groundwater?level altitudes and groundwater?level altitude changes in the Chicot, Evangeline, and Jasper aquifers in the Houston?Galveston region, Texas. This dataset documents current?year (2020) groundwater?level altitudes for each aquifer, 5?year (2015?20) groundwater?level changes for each aquifer, long?term (1990?2020 and 1977?2020) groundwater?level changes for the Chicot and Evangeline aquifers, and long?term (2000?2020) groundwater?level change for the Jasper aquifer. The groundwater?level measurements from which the dataset were built are stored in the USGS National Water Information System (NWIS) (http://dx.doi.org/10.5066/F7P55KJN) and are accessible through the NWIS Web Interface. In 2020, groundwater-level-altitude contours for the Chicot aquifer ranged from 150 feet (ft) below the North American Vertical Datum of 1988 to 200 ft above datum. Groundwater-level-altitude contours for the Evangeline aquifer ranged from 250 ft below datum to 200 ft above datum. Groundwater-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum to 250 ft above datum. In each aquifer, the highest and lowest groundwater-level altitudes were measured in relatively small, isolated areas. This dataset was created by the U.S. Geological Survey to provide resource managers, public officials, researchers, and the general public with ready access to accurate, impartial, scientific information regarding groundwater?level changes and altitudes in Harris, Galveston, Fort Bend, Montgomery, Brazoria, Chambers, Grimes, Liberty, San Jacinto, Walker, and Waller Counties, Texas. These digital data accompany a U.S. Geological Survey Scientific Investigation Report by Braun and Ramage (2020).
DOI: 10.5066/p9tj40n7
title: Near-Surface Spatial Water-Quality Surveys along the St. Lucie and Caloosahatchee Rivers in October 2017, Lake Okeechobee and Caloosahatchee River in July 2018, and Caloosahatchee River, St. Lucie River and Lake Okeechobee in August of 2018, south Florida (ver. 1.1, December 2020)

description: This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from the St. Lucie and Caloosahatchee Rivers in October 2017, Lake Okeechobee and the Caloosahatchee River in July 2018 and the Caloosahatchee River, St. Lucie River and Lake Okeechobee in August of 2018, south Florida. Geo-referenced measurements of near surface water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescence of dissolved organic matter were recorded at 5 second intervals and nitrate+nitrite was recorded at 1 minute intervals during water-quality surveys in order to create high resolution water-quality maps of the study area.
DOI: 10.5066/f78p5zdv
title: Water Use Data for Hydraulic Fracturing Treatments in and near the Williston Basin, United States, 2000-2015

description: Water used for hydraulic fracturing treatments in and near the Williston Basin during 2000-2015, was estimated using data reported in IHS Markit (TM) (2016). Hydraulic fracturing treatment data from IHS Markit (TM) (2016) may include volumes in a variety of measurement units, and they may include multiple treatments per well. All listed treatments within the study area were converted to gallons and summed on a per-well basis, discounting any treatments for which the specified measurement units were unclear (for example, "sacks", or "feet"), which were minor. Of 3,734,380 treatments listed within the study area during the timeframe of interest, 0.7% (26,373 records) were not included. For each well, the date listed as the well completion date (typically the date of final preparation of the well for petroleum production) was considered to be the date of the water consumption. Listings for the actual treatment date are incomplete in the IHS Markit (TM) (2016) database, but generally the completion date is within a few days, or at most months, of the actual treatment date. The per-well treatment volumes were then aggregated via summation to a 1-mile grid using ArcGIS functions. The annual aggregated hydraulic fracturing treatment data were exported as annual GeoTIFF images with a resolution of 1 square mile per pixel and bundled into a TAR archive file. This data is not part of the USGS Aggregated Water Use Database (AWUDS) or the National Water Information System (NWIS).
DOI: 10.5066/f7cr5rk7
title: Digital maps of hydrothermal alteration type, key mineral groups, and green vegetation of the western United States derived from automated analysis of ASTER satellite data

description: Mineral groups identified through automated analysis of remote sensing data acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were used to generate a map showing the type and spatial distribution of hydrothermal alteration, other exposed mineral groups, and green vegetation across the northwestern conterminous United States. Boolean algebra was used to combine mineral groups identified through analysis of visible, near-infrared, and shortwave-infrared ASTER data into attributed alteration types and mineral classes based on common mineralogical definitions of such types and the minerals present within the mineral groups. Alteration types modeled in this way can be stratified relative to acid producing and neutralizing potential to aid in geoenvironmental watershed studies. This mapping was performed in support of multidisciplinary studies involving the predictive modeling of mineral deposit occurrence and geochemical environments at watershed to regional scales. These studies seek to determine the relative effects of mining and non-anthropogenic hydrothermal alteration on watershed surface water geochemistry and faunal populations. The presence or absence of hydrothermally-altered rocks and (or) specific mineral groups can be used to model the favorability of occurrence of certain types of mineral deposits, and aid in the delineation of permissive tracts for these deposits. These data were used as a data source for the U.S. Geological Survey (USGS) Sagebrush Mineral-Resource Assessment (SaMiRA). This map, in ERDAS Imagine (.img) format, has been attributed by pixel value with material identification data that can be queried in most image processing and GIS software packages. Three files are included with this product: file with .img extension contains thematic image attributes and geographic projection data, file with .ige extension contains the raster data, and the file with .rrd extension includes pyramid data for fast display.
DOI: 10.5066/p9e6p7s2
title: Petrophysical data collected on outcrops and rock samples from the eastern Adirondack Highlands, New York

description: Petrophysical data were collected in the eastern Adirondack Highlands during several field campaigns in 2016-2017. This data release provides magnetic susceptibility, gamma spectrometry, and density measurements on rock outcrops, hand samples, and during walking surveys. Rock types for the outcrops and samples were identified using standard field methods. Locations of the outcrops or samples were determined using a handheld GPS.
DOI: 10.5066/f7gf0sg7
title: Stage, water velocity and water quality data collected in the Lower Nisqually River, McAllister Creek and tidal channels of the Nisqually River Delta, Thurston County, Washington, February 11, 2016 to September 18, 2017 (ver. 1.1, December, 2019)

description: This data release includes time series data of stage, water velocity and water quality parameters at multiple locations in the tidally-influenced reaches of the Nisqually River and McAllister Creek, and tidal channels of the Nisqually River Delta. In total, time series data were collected at multiple sites from February 11, 2016 to March 19, 2018 during separate but generally overlapping periods over a range of tidal and hydrologic conditions for augmenting hydrodynamic models that will be used to inform river delta restoration alternatives. Time series data were collected at 10 sites in the study area: 3 sites in the lower Nisqually River, defined here as the tidally-influenced reach downstream from Mounts Road; 3 sites in the tidally-influenced portion of McAllister Creek that borders the Nisqually River Delta; and 4 sites in tidal channels within the Nisqually River Delta. Continuous stage (water level) and water temperature data were collected at all 10 sites in the study area using Acoustic Doppler Velocity Meters (ADVM) and/or vented pressure transducers. Water surface elevation was measured with GPS using a Real-Time-Network (RTN) provided by the Washington State Reference Network, a regional cooperative of GPS reference stations. Water surface elevations surveyed at the site while the sensors were logging water level (WL) data were used to determine an offset for converting WL to water surface elevation (NAVD88). Water velocity data was collected at 1 site in the Lower Nisqually River (NR2), 1 site in McAllister Creek (MC2), and in the 4 tidal channels (D1, D2, D3, D4) using ADVMs. Turbidity data was collected at 1 site in the Lower Nisqually River (NR2), 1 site in McAllister Creek (MC3), and in the 1 tidal channel (D4) using nephelometric turbidity sensors. Continuous salinity and/or specific conductance data was collected at 2 sites in the Lower Nisqually River (NR2, NR3), 1 site in McAllister Creek (MC3), and in 1 tidal channel (D4). Discrete measurements of water discharge were made using acoustic Doppler current profiler (ADCP) at 3 sites in the Lower Nisqually River (NR0, NR1, NR2), 1 site in McAllister Creek (MC2), and in the 4 tidal channels (D1, D2, D3, D4). Suspended-sediment samples were collected at 3 sites in the Nisqually River (NR0, NR1, NR2). Discrete discharge and sediment data for each site are available in the National Water Information System (NWIS) using the URL provided in the child item for each site. Revisions were made to Child Items: 'Water Data for McAllister Creek at MC2', 'Water Data for Nisqually River Delta at Site D3' and 'Water Data for Nisqually River Delta at Site D4'. Revision specifics are found in the metadata file under the 'Supplemental Information' header.
DOI: 10.5066/p9z81iqu
title: Unsaturated zone soil properties near a dry well and Four-plex baseball field, Fort Irwin National Training Center, San Bernardino County, California, 2019-2020

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 recycled water (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) evaluated unsaturated zone soil property data of cores from a borehole for a newly drilled monitoring well near a dry well and irrigated Four-plex baseball field. Measurements and observations are presented for cores from an initial drilling attempt (site ESW2A), which stopped at 85 feet below land surface due to equipment issues, and data are presented for cores from the successful drilling attempt (ESW2B) down to 240 feet below land surface. The two boreholes are located approximately 6 feet from each other. The grain size measurements were compared to a reference sample HMR2 collected as part of a previous study near Barstow.
DOI: 10.5066/p9y6ywg9
title: Oregon SELDM tools

description: A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
DOI: 10.6084/m9.figshare.21836214
title: ASD

description: <strong>Corneal confocal microscopy demonstrates sensory nerve loss in children with autism spectrum disorder</strong>
DOI: 10.5066/p9ppakp6
title: Water Quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir, water year 2017

description: Water-quality data were collected by the Providence Water Supply Board (PWSB) from tributaries in the Scituate Reservoir drainage area, October 2016 through September 2017 (water year 2017). Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 36 tributaries in the Scituate Reservoir drainage area. 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 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).