cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9odilgn
title: Tracking disturbance and inundation to identify wetland loss

description: Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover disturbance and inundation extent across the Mid-Atlantic region, United States, using the Landsat archive in Google Earth Engine. Disturbance was identified as a change in greenness, using a harmonic linear regression approach, or as a change in growing season brightness. Inundation extent was mapped using a modified version of the U.S. Geological Survey's Dynamic Surface Water Extent (DSWE) algorithm. Annual (2015 to 2018) disturbance averaged 0.32 percent (1095 km2 per year) of the study area per year and was most common in forested areas. While inundation extent showed substantial interannual variability, the co-occurrence of disturbance and declines in inundation extent represented a minority of both change types, totaling 109 km2 over the four-year period, and 186 km2, using the National Wetland Inventory dataset in place of the Landsat-derived inundation extent. When the annual products were evaluated with permitted wetland and stream fill points, 95 percent of the fill points were detected, with most found by the disturbance product (89 percent) and fewer found by the inundation decline product (25 percent). The results suggest that mapping inundation alone is unlikely to be adequate to find and track anthropogenic wetland loss. Alternatively, remotely tracking both disturbance and inundation can potentially focus efforts to protect, manage, and restore wetlands.
DOI: 10.5066/p9el99bd
title: Geophysical Data Collected for an Assessment of a Proposed Landfill Site in Fredericktown, Missouri, June 2018

description: In June 2018, the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency (EPA) collected geophysical measurements to help evaluate the suitability of a proposed landfill site for disposing mine-waste materials in Fredericktown, Missouri. Geophysical methods were used to evaluate and characterize the unconsolidated sediment (i.e., regolith) above the crystalline bedrock as well as determine depth bedrock. Land-based geophysical methods included frequency domain electromagnetic induction (FDEM), electrical resistivity tomography (ERT), horizontal-to-vertical spectral ratio passive seismic (HVSR), and shear-wave seismic refraction. Water-borne methods included FDEM surveys to characterize the Fredericktown City Lake sediments as well as forward-looking infrared (FLIR) imagery taken along the City Lake shoreline to identify locations of potential groundwater-surface water interactions.
DOI: 10.5066/p9xon1p4
title: Plague causes fragmentation of prairie dog colonies in Conata Basin, South Dakota from 1993 - 2015

description: This data was used to investigate the invasion of a non-native disease, plague, to a keystone species, prairie dogs, in Conata Basin, South Dakota, United States. We documented the resulting extent of fragmentation and habitat loss in western grasslands using colony boundaries mapped by the USFS every one to three years from 1993 - 2015. Specifically, we assessed how the arrival of plague in 2008, affected the size, shape, and aggregation of prairie dog colonies, an animal species known to be highly susceptible to plague. As expected the colony complex and the patches in colonies became smaller and more fragmented after the arrival of plague; the total area of each colony and the average area per patch within a colony decreased, the number of patches per colony increased, and average contiguity of each patch decreased, leading to habitat fragmentation.
DOI: 10.5066/p9on6qbe
title: Data release for Geologic Map of the Homestake Reservoir 7.5' quadrangle, Lake, Pitkin, and Eagle Counties, Colorado

description: The Homestake Reservoir 7.5' quadrangle lies at the northwestern end of the Upper Arkansas Valley, and headwaters of the Arkansas River, and the Roaring Fork, Fryingpan, and Eagle Rivers of the Colorado River system. The quadrangle lies within tectonic provinces of the 1.4 Ga Picuris Orogeny, the late Paleozoic Ancestral Rockies, Late Cretaceous-Paleocene Laramide orogeny, Oligocene to Miocene, and Pliocene?, volcanism, and Miocene to the present Rio Grande rift extensional tectonics. In the eastern half of the quadrangle, high-angle, east-dipping, Neogene normal faults displace Proterozoic rocks, and locally Mio-Pliocene? volcanic rocks. Many quartz veins and hydrothermally altered zones are exposed along the eastern flank of the quadrangle, indicative of the multiple tectonic episodes the region has experienced. Within the western half of the quadrangle, Meso- and Paleoproterozoic igneous and metamorphic rocks of 1.4 Ga St. Kevin Granite and 1.7-1.8 Ga Biotite gneiss and schist, respectively, are uplifted along the generally east-dipping, high-angle Sawatch fault system. In the northwest portion of the quadrangle, strands of the Homestake shear zone have been mapped, dated and assigned to the 1.4 Ga Picuris orogeny of northern New Mexico. 10Be and 26Al cosmogenic nuclide ages of the youngest glacial deposits indicate a last glacial maximum age of about 21?22 kilo-annum and complete deglaciation by about 14 kilo-annum, supported by chronologic studies in adjacent drainages. The Turquoise Lake impounding lateral and terminal moraine complex was deposited during late Pleistocene glacial maximum ~22-21 ka. No late Pleistocene tectonic activity is apparent within the quadrangle.
DOI: 10.5066/p9t167ii
title: Data on Tidally Filtered Groundwater and Surface-Water Levels, and Climatological Data Near Mill Creek and the Herring River, Cape Cod, Wellfleet, Massachusetts, 2017-2018

description: Groundwater and estuary water levels near Mill Creek, and the Herring River in Wellfleet Massachusetts were measured from June 2017 to June 14, 2018. Water-level data have been filtered to remove the effects of the daily tides. The mean daily value of the tidally filtered 15 minute water-level data is presented. The data also include a composite data set of daily precipitation values, as well as data on the growing degrees days (50 degrees Fahrenheit), from two weather stations on Cape Cod, Massachusetts.
DOI: 10.5066/p9go3cp8
title: Calibration Coefficients for the U.S. Geological Survey National Crustal Model and Depth to Water Table

description: The U.S. Geological Survey National Crustal Model (NCM) is being developed to include spatially varying estimates of site response in seismic hazard assessments. Primary outputs of the NCM are continuous velocity and density profiles from the Earth's surface to the mantle transition zone at 410 km depth for each location on a 1-kilometer grid across the conterminous United States. Datasets used to produce the NCM may have a resolution of better than 1 km near the Earth's surface in some regions, but, with increasing depth, NCM resolution decreases to 10's to 100's of km in the mantle. Basic subsurface information is provided by the NCM geologic framework (NCMGF), thermal model, and petrologic and mineral physics database. In this data release, the calibration coefficients and depth to water table across the conterminous U.S. that are needed to calculate velocities and densities that can be extracted from the NCM are presented. Calibration coefficients are implemented in a porosity model using Biot-Gassmann theory and derived from analysis of over 2000 compressional- and /or shear-wave velocity profiles (less than 10 km deep) from across the conterminous United States and southwest Canada.
DOI: 10.5066/p9vxysnz
title: Selenium concentrations in food webs of Lake Koocanusa in the vicinity of Libby Dam (MT) and the Elk River (BC) as the basis for applying ecosystem-scale modeling, 2008-2018

description: This Data Release presents multi-agency data for selenium concentrations in ecosystem media that includes water column, suspended particulate material, zooplankton, invertebrates, and fish. Because the data are compiled from multiple sources, the significant figures used to report contaminant concentrations and other metrics may not be internally consistent. These data will serve as the basis for ecosystem-scale modeling of Lake Koocanusa, a bi-national reservoir in Montana and British Columbia. Spreadsheets are ordered in a food-web format to facilitate modeling that emphasizes spatially and temporally paired data. Selenium concentrations are species-specific for fish and taxa-specific for invertebrates to address required specificity for biodynamic dietary modeling. Phytoplankton, zooplankton, and invertebrate densities or biomass are compiled, in addition to fish catches, to help elucidate productivity and identify which groups, taxa, or species are abundant on a seasonal basis. For water quality context, the historical record of selenium concentrations is given, with emphasis on the primary selenium loading site near where the Elk River enters Lake Koocanusa. Spreadsheets with the term &amp;quot;annex&amp;quot; in their file name address a competing toxin, mercury, for fish. Recent high frequency monitoring of selenium concentrations at the international border and at a gaging station below Libby Dam provide a perspective on future selenium data availability. Methodologies are described as federal, provincial, and state agencies transition to a consistent set of protocols to ensure consistency in monitoring for locations on both sides of the border.
DOI: 10.5066/p99lm27e
title: Results of Ecosystem Scale Selenium Modeling in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada, 2020

description: This data release and accompanying spreadsheet illustrate the ecosystem scale selenium model for Lake Koocanusa described in USGS Open-File Report 2020-1098, "Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada." All report sections, equations, and tables referenced in this data release and spreadsheet are from that report. Two models are described in the OFR. Results for several different "runs" of this model with different model input parameters and assumptions are included in this data release. The spreadsheet calculations that produced those results are also included with this data release. Model results are presented for the four representative IFM food webs described in Table 6 of the OFR, and for three representative TFM food webs described in Table 7 of the OFR. "Generic" IFM and TMF modeling spreadsheets (consistent with Tables 8 and 9 of the OFR) are provided that implement the two models such that a user can establish their own modeling assumptions and view the results of the models with those assumptions. Finally, four alternative modeling scenarios and results specifically requested by the Montana Department of Environmental Quality, the cooperator in this work, are also presented here.
DOI: 10.5066/p9on85ac
title: USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Mancos-Menefee Composite Total Petroleum System and underlying Todilto Total Petroleum System Assessment Units and Input Data Forms

description: This data release contains the boundaries of assessment units and input data for the assessment of Oil and Gas Resources in the Mancos-Menefee Composite and Underlying Todilto Total Petroleum Systems of New Mexico and Colorado. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5066/p94ia5b3
title: Landscape inputs and simulation output for the LANDIS-II model in the Greater Yellowstone Ecosystem

description: This data release provides inputs needed to run the LANDIS-II landscape change model, NECN and Base Fire extensions for the Greater Yellowstone Ecosystem (GYE), USA, and simulation results that underlie figures and analysis in the accompanying publication. We ran LANDIS-II simulations for 112 years, from 1988-2100, using interpolated weather station data for 1988-2015 and downscaled output from 5 general circulation models (GCMs) for 2016-2100. We also included a control future scenario with years drawn from interpolated weather station data from 1980-2015. Model inputs include raster maps (250 × 250 m grid cells) of climate regions and tables of monthly temperature and precipitation for each climate region. We provide initial conditions in 1987 as rasters and tables (i.e., species-age cohorts, aboveground biomass, soil carbon and nitrogen in surface litter 3 soil layers, soil percent sand, soil percent clay, soil wilting point, soil field capacity, soil drainage, soil storm flow and base flow fractions, and soil depth), historical fire data for model calibration, climate-inferred lognormal fire size distributions for each simulation year, and LANDIS-II control files including parameters for species and functional groups. Outputs from 10 replicates for each of 5 GCMs and the control scenario are provided as rasters and tables. Tables include spatially-weighted mean annual temperature and precipitation of the GYE for each GCM and the control scenario, summarize annual area burned by scenario, summarize biomass pools, and summarize changes in mean stand age. Rasters include annual simulated fire severity for 2015-2100, simulated total aboveground biomass in 4-year timesteps, aboveground biomass of all species in 4-year timesteps, stand age in 4-year timesteps, maximum and minimum cohort age for three dominant species (Pinus contorta, Picea engelmannii, and Pseudotsuga menziesii) in 4-year timesteps, forest type in 1988 and 2100, net ecosystem exchange in 2040 and 2100, and total ecosystem carbon in 4-year timesteps.
DOI: 10.5066/p9dv3ezn
title: USGS National and Global Assessment Project-Sacramento Basin, Conventional and Continuous Assessment Unit Boundaries and Assessment Input Forms

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered gas resources of the Sacramento Basin province in California. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5066/p98t2hnm
title: Discharge, nutrient, and suspended sediment data for selected streams in the Lake Tahoe watershed

description: A time series of nutrient and mean daily discharge data were used to create models of daily concentration and loads for selected streams of the Lake Tahoe watershed. A total of 15 sites have records ranging from as early as 1972 to 2017. Nutrients in the data set include nitrate, ammonium, Kjeldahl Nitrogen, orthophosphate, and total phosphorus. Total suspended sediment concentrations are also included. Discharge data are included as mean daily values in cubic meters per second. The data were used to produce daily and annual models of concentrations and loads and associated daily and annual loads of these constituents. Trends in these constituents were also calculated. The U.S. Geological Survey model, Weighted Regressions on Time Discharge and Season (WRTDS) was used for these calculations. The data set and associated models of concentrations, loads, and trends are described in a companion journal article (Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, U.S.A.) published in Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2020.141815).
DOI: 10.5066/p9ofl7sl
title: USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Lewis Shale Total Petroleum System Assessment Units and Input Data Forms

description: This data release contains the boundaries of assessment units and input data for the assessment of gas resources in the Lewis Shale Total Petroleum System of New Mexico and Colorado. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5066/p9idgj6e
title: USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Fruitland Total Petroleum System Assessment Units and Input Data Forms

description: This data release contains the boundaries of assessment units and input data for the assessment of gas resources in the Fruitland Total Petroleum System of New Mexico and Colorado. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5066/p9rxr45g
title: Input and results from a boosted regression tree (BRT) model relating base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics (1970-2013)

description: This data release contains a boosted regression tree (BRT) model (written in the R programming language), and the input and output data from that model that were used to relate base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics. The input data consists of two types of information: 1) surface water nitrate concentrations collected by the USGS and partnering agencies in the Chesapeake Bay watershed between 1970 and 2013 and 2) potential predictor variables that included nitrogen sources, catchment characteristics, soil and groundwater chemistry, soil drainage and composition, and aquifer geology. The results from the BRT model were used to identify ten significant predictors of base flow nitrate concentrations in streams in the Chesapeake Bay watershed.
DOI: 10.17632/4kmdbvhspr.1
title: Morphological measurement data of the Central Canyon in the Qiongdongnan Basin, northwest South China Sea

description: Morphological measurement data of the Central Canyon in the Qiongdongnan Basin, northwest South China Sea. The measured parameters include the depth of the canyon thalweg and canyon wall, the height and width of the canyon, and the canyon’s aspect ratio (width/height).