cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9b35cnl
title: Global Positioning System Survey data for 2015, and Interferometric Synthetic Aperture Radar Data for 1995-2017, Coachella Valley, Riverside County, California

description: GPS data collection: GPS measurements were taken at 24 geodetic monuments during September 27-October 2, 2015. The GPS surveys generally followed established guidelines (Zilkoski and others, 1997), except that the data were processed with single-baseline, rather than multi-baseline, software. GPS measurements were recorded at the monuments on at least 2 different days during 1-hour observation periods. Of the 24 geodetic monuments, 7 were network control stations - DUNE, COCH, DEEP, CAHU, PAIN, C101, and G70; GPS measurements were recorded at these seven stations on 3 additional days during 6.5-hour (or longer) observation periods. InSAR data collection: The data set consists of twenty-four individual interferograms and two stacked interferograms. Of the twenty-four individual interferograms, two interferograms were processed from synthetic aperture radar data acquired by the German Aerospace Center's (DLR) TerraSAR-X satellite and twenty-two interferograms were processed from synthetic aperture radar data acquired by the European Space Agency's (ESA) Sentinel-1A satellite. The two stacked interferograms were created by summing multiple individual interferograms. Radar data used to produce the interferograms shown in this report were obtained from the European Space Agency through their free and open data policy and the German Aerospace Center through research proposal GEO1609 for purposes of research and development.
DOI: 10.5066/f7s75fmh
title: Rhodamine concentration data, Kootenai River, near Bonners Ferry, Idaho, 2008

description: This data release provides measurements of dye concentration collected to support and validate numerical simulations of dispersion on the Kootenai River, downstream of Bonners Ferry, Idaho. On August 13, 2008, at 06:00, 25.4 kilograms of rhodamine WT was diluted using raw river water in a 378.5 liter tank and released as a nearly single slug. The dye was released near River Kilometer (RKM) 239 over a period of 17 minutes. From 06:01 - 06:10 the dye was released at a fairly constant rate, and from 06:10 - 06:18 the dye was released at a slower rate associated with cleaning and rinsing the tank. Measurements of dye concentration were made using water quality sondes with 6130 rhodamine probes. Two sampling strategies were used: a repeat cross-section near river kilometer (RKm) 229 was measured over the duration of the passing dye to determine the spatial variability of concentration, and 11 fixed locations were distributed downstream of the dye injection, over a period of 81 hours, and 59 RKM following the dye release. During this time period the discharge of the river remained near 271 cubic meters per second (cms), with a standard deviation of 7 cms based on USGS station 12309500.
DOI: 10.5281/zenodo.4444802
title: Caleg 2019 Biodata Datasets For K-Anonymity Research

description: No description provided.
DOI: 10.5281/zenodo.4444801
title: Caleg 2019 Biodata Datasets For K-Anonymity Research

description: No description provided.
DOI: 10.5066/f7gx48rz
title: Data from Mercury Intrusion Porosimetry conducted on samples of a mudstone underlying the Naval Air Warfare Center, West Trenton, NJ

description: This data set presents the results of conducting Mercury Intrusion Porosimetry on core samples of the mudstone underlying the Naval Air Warfare Center, West Trenton, NJ. The core samples were selected from the continuous core collected from boreholes 83BR-89BR.
DOI: 10.5066/f70z71gm
title: Lithologic characterization of cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ

description: This data set presents the lithologic interpretation of rock cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center (NAWC), West Trenton, NJ. Continuous core from these boreholes was collected and visually interpreted to identify characteristics of the depositional environment of the mudstone. Three types of mudstone were identified: a black-fissile mudstone (BLK-FIS); a gray-laminated mudstone (GRY-LAM); and a gray massive mudstone (GRY-MAS). The BLK-FIS mudstone is associated with a deep-water depositional environment. The GRY-MAS mudstone is associated with a shallow-water depositional environment. The GRY-LAM mudstone is associated with a transitional depositional environment between shallow and deep water conditions. The lithologic characteristic of the rock was assigned every 0.03 m along the length of the core. Sections of core that were not recovered are also noted.
DOI: 10.5066/p9kou55k
title: Data used to evaluate arsenic and uranium occurrence in Connecticut groundwater through spatially weighted and bedrock geology assessments

description: This data release contains two spatial datasets and a data table in support of an evaluation of arsenic and uranium occurrence in Connecticut groundwater through spatially weighted and bedrock geology assessments. Spatial datasets include 1) a shapefile of 130 equal-area grid cells with associated arsenic attribute data, and 2) a shapefile of 110 equal-area grid cells with associated uranium attribute data. The State of Connecticut was divided based on a set of randomized equal-area grid cells based on the method of Scott (1990); one grid was created for arsenic, with 130 grid cells, and one was created for uranium, with 110 grid cells. Arsenic and uranium attribute data associated with the equal-area grid cells include the number of wells in each grid cell, the number of wells with constituent concentrations above three selected thresholds, the fraction of wells with constituent concentrations above three selected thresholds, and the percentage of wells with constituent concentrations above three selected thresholds. The three selected thresholds for arsenic include 3, 5, and 10 micrograms per liter (ug/L), with 10 ug/L representing the maximum contaminant level (MCL) established by the U.S. Environmental Protection Agency (EPA) for human health for arsenic. The three selected thresholds for uranium include 1, 10, and 30 ug/L, with 30 ug/L representing the EPA MCL for human health for uranium. The bedrock geology data table is table 4 from Gross and others (2020) formatted so that it can easily be joined with Connecticut's bedrock geology dataset (Connecticut Department of Environmental Protection, 2000) using the geologic unit abbreviation (UNIT attribute) in order to recreate figure 3 from Gross and others (2020). The data table includes counts and percentages of arsenic and uranium concentrations that exceed maximum contaminant levels from private wells in Connecticut, by geologic unit and major bedrock category, 2013-18.
DOI: 10.5066/p9kt3gos
title: Suspended-sediment, bed-sediment, and in-channel topographical data at the Green River at Mineral Bottom near Canyonlands National Park, and Colorado River at Potash, UT stream gages

description: Sediment Data: These data include (1) physical suspended-sediment sample data including suspended silt and clay concentration, suspended-sand concentration, and suspended-sand grain size distribution, (2) bed-sediment sample data with complete grain size analyses, and (3) 15-minute acoustical sediment data measured using a multifrequency array (1MHz and 2MHz) of sidelooking acoustic Doppler profilers which includes suspended silt-and-clay concentration, suspended-sand concentration, and the median grain size of suspended sand, instantaneous silt and clay, and sand loads, and cumulative silt and clay, and sand loads. The acoustic sediment data were calibrated with the physical suspended-sediment samples. These data were collected by the USGS Grand Canyon Monitoring and Research Center, and the USGS Utah Water Science Center and include samples collected between 3/26/2014 and 12/31/2018. Physical suspended-sediment samples and bed-sediment samples were collected using samplers lowered from a boat-mounted crane. Data were collected at Colorado River at Potash (CR_POT) and Green River at Mineral Bottom near Canyonlands National Park, UT (GR_MB). Bedform Surveys Data: These data include survey data of the channel bed collected using single- and multi-beam sonar collected from a boat, and stationary downward looking pole-mounted sonar transducers. These data were collected at both the Green River at Mineral Bottom near Canyonlands National Park, UT (GR-MB, station #09328920) and Colorado River at Potash (CR-POT, station #09185600) gaging stations. Channel-bed surveys were collected to calculate bedload transport rates using bedform tracking techniques. Single- and multi-beam sonar data consist of text files of survey coordinates projected using the NAD83 (2011) reference datum within UTM zone 12N. Elevations are orthometric heights (NAVD88) computed using geoid 12B. Stationary pole-mounted survey data include the range and amplitude of each transducer pulse.
DOI: 10.5066/p9w0khev
title: Geomorphic data for the Green River in Canyonlands, Utah, USA (ver. 1.0, June 2020)

description: These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Green River in Canyonlands National Park between Horseshoe Canyon and Deadhorse Canyon, Utah. The time period for these data are 1940 to 2018. The 'Channel Width' shapefile data are measurements of the active channel width of the Green River at 1-km intervals in and near Canyonlands National Park, Utah. The 'Mineral Bottom' csv data are river channel cross-sections for a 3-km study reach of the Green River upstream from Mineral Bottom, Utah. The study reach is near the mouth of Hell Roaring Canyon, 5 km upstream from the Mineral Bottom boat ramp, which is 85 km upstream from the confluence of the Green River with the Colorado River. Six cross-sections were originally established by the U.S. Fish and Wildlife Service in June 1995. Additional cross-sections were added by Utah State University in August 1995. A subset of the cross-sections (where original monuments were found) were re-surveyed by the U.S. Geological Survey Grand Canyon Monitoring and Research Center in cooperation with Utah State University in June 2015. The raster data are aerial images and digital elevation models (DEMs) for segments of the Green River in and near Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Green River in Canyonlands National Park. The images were acquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Fort Bottom segment of the Green River within Canyonlands National Park and include both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor. The lidar data are available at https://doi.org/10.5069/G9RV0KSQ.
DOI: 10.5066/p9rnmpln
title: Channel narrowing data for the lower Green River in the Canyonlands region, Utah, USA

description: The 'Channel Width' shapefile data are measurements of the active channel width of the Green River at 1-km intervals in and near Canyonlands National Park, Utah. The active channel was defined as the area of the wetted, or inundated, channel as visible on aerial photographs plus the area of bare (free of vegetation) sand and gravel bars. The active channel for each aerial photograph series was hand digitized on a computer screen in ArcGIS version 9.2. The 'Mineral Bottom' csv data are river channel cross-sections for a 3-km study reach of the Green River upstream from Mineral Bottom, Utah. The study reach is near the mouth of Hell Roaring Canyon, 5 km upstream from the Mineral Bottom boat ramp, which is 85 km upstream from the confluence of the Green River with the Colorado River. Six cross-sections were originally established by the U.S. Fish and Wildlife Service in June 1995. Additional cross-sections were added by Utah State University in August 1995. A subset of the cross-sections (where original monuments were found) were re-surveyed by the U.S. Geological Survey Grand Canyon Monitoring and Research Center in cooperation with Utah State University in June 2015. These raster data are aerial images and digital elevation models (DEMs) for segments of the Green River in and near Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Green River in Canyonlands National Park. The images were aquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Fort Bottom segment of the Green River within Canyonlands National Park and included both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor.
DOI: 10.5067/viirs/cldmsk_l2_viirs_noaa20_nrt.001
title: VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT)
DOI: 10.5066/f75719z7
title: Organic and total carbon analyses of rock core collected from boreholes 83BR, 84BR, 85BR, 86BR, 87BR, 88BR, and 89BR in the mudstone underlying the former Naval Air Warfare Center, West Trenton, New Jersey

description: These data sets present results for analyses of the fraction of total and organic carbon in samples of rock core collected from boreholes 83BR, 84BR, 85BR, 86BR, 87BR, 88BR, and 89BR in the Lockatong Formation (mudstone) underlying the former Naval Air Warfare Center, West Trenton, New Jersey.
DOI: 10.5066/p9kd11gx
title: Supplemental Evapotranspiration Gap-filled Datasets from Stump Spring and Hiko Springs, Clark County, Nevada, 2016-18

description: This USGS data release represents supplemental tabular data for an annual groundwater discharge by evapotranspiration (ET) from areas of spring-fed riparian vegetation, Stump Spring and Hiko Springs, Clark County, Nevada, 2016-18. The raw ET dataset contained multiple data gaps that were simulated and gap-filled with the water-level model utility in SeriesSEE, a USGS developed Microsoft Excel addin. Continuous time-series data, including net radiation, sensible-heat flux, latent-heat flux, and ground-heat flux, from before and after the data gap(s) were used to simulate turbulent fluxes with multivariate regressions and the gramma transform, used for latent heat gaps after precipitation events. ET data were gap filled using methods outlined in A process to estimate net infiltration using a site-scale water-budget approach, Rainier Mesa, Nevada National Security Site, Nevada, 2002-05. Data used to simulate gap periods for Stump Spring and Hiko Springs were acquired from USGS ET stations 364555117412401 and 355846116160401, respectively. This release consists of the following: (1) inventory of latent-heat flux, sensible-heat flux gap-filled periods, and model goodness-of-fit, Stump Springs, Clark County, NV, 2016, (2) inventory of net radiation, latent-heat flux, sensible-heat flux, ground-heat flux gap-filled periods, and model goodness-of-fit, Hiko Springs, Clark County, NV, 2017-18, (3) gap-filled latent-heat flux and sensible-heat flux data, Stump Spring evapotranspiration station, Clark County, NV, 2016, and (4) gap-filled net radiation, latent-heat flux, sensible-heat flux, and ground-heat flux, Hiko Springs evapotranspiration station, Clark County, NV, 2017-18.
DOI: 10.5066/p9jwl6xr
title: Statistical Methods in Water Resources - Supporting Materials

description: This dataset contains all of the supporting materials to accompany Helsel, D.R., Hirsch, R.M., Ryberg, K.R., Archfield, S.A., and Gilroy, E.J., 2020, Statistical methods in water resources: U.S. Geological Survey Techniques and Methods, book 4, chapter A3, 454 p., https://doi.org/10.3133/tm4a3. [Supersedes USGS Techniques of Water-Resources Investigations, book 4, chapter A3, version 1.1.]. Supplemental material (SM) for each chapter are available to re-create all examples and figures, and to solve the exercises at the end of each chapter, with relevant datasets provided in an electronic format readable by R. The SM provide (1) datasets as .Rdata files for immediate input into R, (2) datasets as .csv files for input into R or for use with other software programs, (3) R functions that are used in the textbook but not part of a published R package, (4) R scripts to produce virtually all of the figures in the book, and (5) solutions to the exercises as .html and .Rmd files. The suffix .Rmd refers to the file format for code written in the R Markdown language; the .Rmd file that is provided in the SM was used to generate the .html file containing the solutions to the exercises. All data used in the in-text examples, figures, and exercises are not new and already available through publicly-available data portals.
DOI: 10.5066/p9c9jamy
title: Water-quality and streamflow data for United States and Canadian sites in the Red River Basin and scripts for trend analysis - Data supporting water-quality trend analysis in the Red River of the North basin, 1970-2017

description: A comprehensive study to evaluate water-quality trends in the international Red River of the North basin and to assess water-quality conditions for Red River of the North crossing the international boundary near Emerson, Manitoba was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission, North Dakota Department of Environmental Quality (NDDEQ) and Minnesota Pollution Control Agency (MPCA), and in collaboration with Manitoba Sustainable Development (MSD) and Environment and Climate Change Canada (ECCC). In this dataset a zipped folder is provided which contains all files necessary to run models and produce results published in U.S. Geological Scientific Investigations Report 2020-5079 [Nustad, R.A., and Vecchia, A.V., 2020, Water-quality trends for selected sites and constituents in the international Red River of the North Basin, Minnesota and North Dakota, United States, and Manitoba, Canada, 1970-2017: U.S. Geological Survey Scientific Investigations Report 2020-5079, 75 p., https://doi.org/10.3133/sir20205079]. In addition, this dataset contains data for streamflow, and water-quality by site contained in three core types of comma separated values (csv) files (site_flow, site_qw_ions, and site_qw_nuts) for 34 sites used in trend analysis of the Red River of the North Basin. Streamflow data for the 24 U.S. sites were gathered from the National Water Information System (https://nwis.waterdata.usgs.gov/nwis). Streamflow data for the 10 Canadian sites were provided to the USGS in excel spreadsheets through email communication and were collected by Water Survey of Canada. Water-quality data for the 24 U.S. sites were gathered from the National Water Quality Monitoring Council Water Quality Portal (https://www.waterqualitydata.us/) and collected by four U.S. government agencies: MPCA; Minnesota Department of Agriculture (MNDA), NDDEQ (NDHD, formerly North Dakota Department of Health); and USGS. Water-quality data for the 10 Canadian sites were provided to the USGS in excel spreadsheets through email communication and were collected by two Canadian government agencies: ECCC and MSD. Data for sites, RREmerson_2 and PemRWindygates_38, were provided by ECCC. Data for sites, BoRCarman_32, CCrSpringfield_36, LaSRLaBarrierePark_33, RoRDominionCity_30, RatROtterburne_31, RRfloodway_1, RRSelkirk_3, SRSouthPerimeterHwy_34, were provided by MSD. Each child page contains 34 csv files containing data for each site.
DOI: 10.5066/p9zzsx5q
title: Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020

description: The dataset provides an estimate of 2020 herbaceous mostly annual fractional cover predicted on May 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P9ZEK5M1., Boyte et al. 2018 https://doi.org/10.5066/P9KSR9Z4.), but we are now mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management?s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation, remotely sensed, and geophysical drivers. These data were integrating into regression tree (RT) models for prediction of weekly cloud free Normalized Difference Vegetation Index (NDVI). A total 11,002 AIM plots from years 2016 - 2019 were used to train an ensemble of five-fold RT models using a cross-validation approach (each observation was used as test data once). Cheatgrass (Bromus tectrorum) is the most common species, however, number of other species were included in this study: Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and Taeniatherum caput-medusae. The geographic coverage includes rangelands in the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied a mask to areas above 2700-m elevation to target areas of unlikely substantial annual grass cover. To target likely sagebrush ecosystems, the mask also removed pixels classified as something other than shrub or grassland/herbaceous by the 2016 National Land Cover Dataset (NLCD).
DOI: 10.5066/p9xwalsi
title: Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps

description: These data depict reptile species richness within the range of the Greater Sage-grouse. Species boundaries were defined as the total extent of a species geographic limits. This raster largely used species range data from "U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001", however in order for a more complete picture of species richness, additional sources were used for species missing from the Gap Analysis program.
DOI: 10.5066/p9w4sf05
title: Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals)

description: These data were created to describe the causes of land cover change that occurred in the Interior Highland region of the United States for the time intervals of 2001 to 2006 and 2006 to 2011. This region, which covers approximately 17.5 million hectares, includes portions of the U.S. states of Arkansas, Missouri, Oklahoma, and Kansas. Most of the area is covered by gently rolling hills of forests and pastureland. Two raster maps were created at a 30-meter resolution showing the causes of land change using automated and manual photo interpretation techniques. There were 30 categories of land change causes (i.e., forest harvest or surficial mining) discovered over the Interior Highlands. These categories can be used by researchers to summarize the historical patterns of land change for the region and to understand the impacts that these land change causes may have on the areas' ecology, hydrology, wildlife, and climate.