AndreaBozzo/ceres-open-data-index huggingface dataset:
Migration stopover ecology of cinnamon teal in western North America

Identifying migration routes and fall stopover sites of cinnamon teal (Spatula cyanoptera septentrionalium) can provide a spatial guide to management and conservation efforts, and address vulnerabilities in wetland networks that support migratory waterbirds. Using high spatio-temporal resolution GSM-GPS transmitters, we tracked the fall migration of 61 cinnamon teal across western North America over three years (2017-2019). We marked cinnamon teal primarily during spring/summer in important breeding and molting regions across seven states (California, Oregon, Washington, Idaho, Utah, Colorado, and Nevada). We assessed migration routes and timing, detected 261 fall stopover sites, and identified specific ecoregions where sites were located. We classified underlying habitats within a five km radius for each stopover site, and measured habitat selection for 12 habitat types within each of seven ecoregions. Cinnamon teal selected a variety of flooded habitats including natural, managed, and riparian wetlands; flooded agriculture (including ditches); lakes and reservoirs; and urban ponds. Patterns of habitat use, whether selection for or avoidance of, were always in concurrence among ecoregions where patterns were statistically significant with one exception. In the Northwestern Forested Mountains ecoregion, riparian systems were statistically avoided but similar habitats were selected for in the more arid North American Deserts and Temperate Sierras ecoregions as well as when averaged across all individuals and ecoregions. The high variety of resources used by cinnamon teal reflect wetland availability across the west, and further emphasize adaptability to dynamic resource conditions in arid landscapes. Reliance on potentially sub-optimal wetland habitat (golf course water features and agricultural ditches) may be indicative of a lack of suitable wetland habitats across the western landscape. Our results provide much needed information on spatial and temporal resource use by cinnamon teal during migration and indicate important wetland habitats for migrating waterfowl in the western United States.

Tags: biota, birds, habitats, migration-organisms, natural-resource-management, usgs-60d0f84fd34e86b938aaad69, wetland-ecosystems, wildlife-biology
Organization: Department of the Interior
Regression tree datasets used to identify trophic states in Tennessee reservoirs

This dataset was developed in partnership with the Tennessee Department of Environmental Conservation to determine the susceptibility of selected Tennessee reservoirs to eutrophication and potential harmful algal blooms. A R script, based on recursive partitioning and the model-based boosting routine, was used to generate regression trees that grouped Tennessee reservoirs into five endpoints along individual low-to-high gradients of Secchi depth and chlorophyll a concentrations (Green, et al, 2021; Heal and Green, 2021). Input data for these reservoirs were obtained from SPAtially Referenced Regression On Watershed (SPARROW) attributes models that estimate total phosphorus and total nitrogen loads in Tennessee water bodies (Roland II, 2019).
References:
Green, W. Reed, Hoos, Anne B., Wilson, Alan E., and Heal, Elizabeth N., 2021, Development of a screening tool to examine lake and reservoir susceptibility to eutrophication in selected watersheds of the eastern and southeastern United States: U.S. Geological Survey Scientific Investigations Report, https://doi.org/...
Heal, E.N., and Green, W.R., 2021, Nutrient loading, flushing rate, and lake morphometry data used to identify trophic states in selected watersheds of the eastern and southeastern United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9K7EOH0.
Roland II, V.L., 2019, Data used in the creation of total phosphorus and total nitrogen SPARROW models for the state of Tennessee (ver. 1.1, February 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P96RWGU0.

Tags: biota, eutrophication, nitrogen, nutrient-content-water, phosphorus, reservoir, usgs-60cd0dc0d34e86b938a6d403
Organization: Department of the Interior
Geochemical data for waters, rocks, sediments and biofilms from Rio Tinto, Spain

Rio Tinto, Spain, is an example of a fluvial system strongly influenced by acid rock and acid mine drainage. During the spring of 2018 and 2019, samples of stream waters and mine waters, biofilms, sediments, and rocks, were collected in the field by Aubrey Zerkle. These samples were analyzed for comprehensive geochemistry, including Cr isotope geochemistry, anions and cations. Mineralogical analysis was conducted on powdered sediments and rocks.

Tags: acid-mine-drainage, chromium, geochemistry, rio-tinto, spain, usgs-60cbb99dd34e86b938a3b12b
Organization: Department of the Interior
State Class Transition Spreadsheet (Area of Land Transition into Each Class per Year, per Scenario)

This spreadsheet dataset (.csv file) contains annual modeled output of land-use and land-cover change transitions in square kilometers (km2) by specified transition group, scenario, timestep, WEAP hydrologic zone, and 4 sub-regions within the broader California Central Valley, modeled using the LUCAS ST-SIM for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water availability, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, and habitat restoration goals. We parameterized our models based on close interpretation of these four scenario narratives to best reflect stakeholder interests, adding a baseline Historical Business-As-Usual scenario (HBAU) for comparison. For these future map projections, the model was initialized in 2011 and run forward on an annual time step to 2101.  
The full methods and results of this research are described in detail in the parent manuscript "Integrated modeling of climate and land change impacts on future dynamic waterbird habitat – a case study from California’s Central Valley" (2021).

Tags: agriculture, boundaries, california, california-valley, climatologymeteorologyatmosphere, environment, farming, geoscientificinformation, imagerybasemapsearthcover, land-use, land-use-and-land-cover, land-use-and-land-cover-map, land-use-change, location, planningcadastre, usgs-60cba6aed34e86b938a3ab54, wetlands
Organization: Department of the Interior
State Class Spreadsheet (Area of Land in Each Class per Year, per Scenario)

This spreadsheet dataset (.csv file) contains annual land-use and land cover area in square kilometers (km2) by scenario, timestep, WEAP hydrologic zone, and 4 sub-regions within the broader California Central Valley, modeled using the LUCAS ST-Sim for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, and habitat restoration goals. We parameterized our models based on close interpretation of these four scenario narratives to best reflect stakeholder interests, adding a baseline Historical Business-As-Usual scenario (HBAU) for comparison. For these future map projections, the model was initialized in 2011 and run forward on an annual time step to 2101. 
The full methods and results of this research are described in detail in the parent manuscript “Integrated modeling of climate, land use, and water availability scenarios and their impacts on managed wetland habitat: A case study from California’s Central Valley” (2021).

Tags: agriculture, boundaries, california, california-valley, climatologymeteorologyatmosphere, environment, farming, geoscientificinformation, land-use, land-use-and-land-cover, location, planningcadastre, scenario, usgs-60cba575d34e86b938a3aa36, wetlands
Organization: Department of the Interior
State Class Rasters (Land Use and Land Cover per Year and Scenario)

This dataset consists of raster geotiff outputs of annual map projections of land use and land cover for the California Central Valley for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water availability, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, and habitat restoration goals. We parameterized our models based on close interpretation of these four scenario narratives to best reflect stakeholder interests, adding a baseline Historical Business-As-Usual scenario (HBAU) for comparison. For these future map projections, the model was initialized in 2011 and run forward on an annual time step to 2101. Each filename has the associated scenario ID (scn418 =  DUST, scn419 = DREAM, scn420 = HBAU, scn421 = BBAU, and scn426 = EEM), State Class identification as “sc”, model iteration (= it1 in all cases as only 1 Monte Carlo simulation was modeled), and timestep as “ts” information embedded in the file naming convention. For example, the filename scn418.sc.it1.ts2027.tif represents the DUST scenario (scn418), state class information (sc), iteration 1 (it1), for the 2027 model year (ts2027).
The full methods and results of this research are described in detail in the parent manuscript "Integrated modeling of climate, land use, and water availability scenarios and their impacts on managed wetland habitat: A case study from California’s Central Valley" (2021).

Tags: agriculture, boundaries, california, california-valley, climatologymeteorologyatmosphere, environment, farming, geoscientificinformation, land-use-and-land-cover, location, planningcadastre, usgs-60cb925bd34e86b938a3a96f, wetlands
Organization: Department of the Interior
Water content and grain density analyses of sediment cores from the New England Mud Patch collected on USGS Field Activity 2016-001-FA

Variability in sediment properties with depth and the thickness of individual sedimentary layers are critical determinants of seabed acoustic response. The New England Mud Patch (NEMP), located south of Cape Cod, is an unusual feature on the U.S. Continental Shelf in that it is composed of fine-grained sediment layers containing a relatively-homogeneous mix of sand, silt, and clay-sized particles bounded by more typical sandy shelf sediments.  The unique characteristics and nature of this deposit is due to a derivation of sediments that have been transported to, and deposited in, a basal bowl-shaped depression since the last glacial maximum. Ninety-two piston, vibra-, and gravity cores with a maximum length of 8.2 meters were collected from across the New England Mud Patch during a 2-leg, 10-day cruise aboard the R/V Endeavor in the spring of 2016. Geologic characterization and analysis of a subset of the cores including grain size, CaCO3, mineral composition, and bulk index properties (undrained shear strength, water content, density, and porosity) of discrete samples was carried out at the USGS Woods Hole Coastal and Marine Science Center's (WHCMSC) Sediment Analysis Laboratory. This data release contains the results of these analyses, along with visual core descriptions and summary sheets for each core analyzed for this study.

Tags: acoustic-cores, atlantic, bulk-density, clay-deposits, core-analysis, cores, cruise-id-en577, dry-bulk-density, earth-material-properties, geology, geotechnical-analysis, grain-density, gravity-coring, holocene, marthas-vineyard, massachusetts, moisture-and-density, nemp, new-england-mud-patch, oceans, piston-cores, piston-coring, porosity, pycnometer, r-v-endeavor, sand-deposits, seabed-experiment-area, sediment-samples, sedimentology, soil-moisture, trigger-cores, u-s-continental-shelf, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-60cb7a56d34e86b938a3a4a7, vibracores, water-content, whcmsc, whcmsc-field-activity-2016-001-fa, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Bedrock geology of the Arabian Peninsula and selected adjacent areas (geo2bg)

The data set for this coverage includes arcs, polygons, and
polygon labels that outline and describe the general geologic
age and type of bedrock of the Arabian Peninsula and selected
adjacent areas.  It also includes shoreline and inland water
bodies.  The Arabian Peninsula is part of Region 2 for the USGS
World Energy Assessment.

Tags: anah-graben-province-2089, arabian, arabian-peninsula, arabian-shield-province-2101, ba, bahrain, beirut-province-2078, central-oman-platform-province-2015, earth-science, east-flank-oman-sub-basin-province-2012, economic-geology, environment, euphrates-mardin-province-2075, fahud-salt-basin-province-2016, geologic-map, geology, geoscientificinformation, ghaba-salt-basin-province-2014, ghudun-khasfeh-flank-province-2010, greater-ghawar-uplift-province-2021, gulf-of-oman-basin-province-2018, hail-gaara-arch-province-2025, haleb-province-2076, hays-structural-belt-province-2003, huqf-haushi-uplift-province-2013, interior-homocline-central-arch-province-2020, iraq, is, israel, iz, jafr-tabuk-basin-province-2026, jo, jordan, khleisha-uplift-province-2074, kingdom-of-jordan, kingdom-of-saudi-arabia, ku, kuwait, le, lebanese-republic, lebanon, levantine-basin-province-2032, marib-al-jawf-masila-basin-province-2004, masila-jeza-basin-province-2009, masirah-trough-province-2008, mesopotamian-foredeep-basin-province-2024, middle-east, mirbat-precambrian-basement-province-2102, mu, mukalla-rift-basin-province-2005, natural-gas, natural-gas-resources, natural-resources, north-harrah-volcanics-province-2027, oil, oil-sand-resources, oil-shale-resources, oilgas, oman, oman-mountains-province-2017, palmyra-zone-province-2077, petroleum, qa, qatar, qatar-arch-province-2022, red-sea-basin-province-2071, region-2, republic-of-iraq, republic-of-yemen, resource-assessment, rub-al-khali-basin-province-2019, rutbah-uplift-province-2028, sa, saudi-arabia, shabwah-basin-province-2006, sharmah-rift-basin-province-2007, sinai-basin-province-2033, south-harrah-volcanics-province-2034, south-oman-salt-basin-province-2011, south-yemen, state-of-bahrain, state-of-israel, state-of-kuwait, state-of-qatar, sultanate-of-oman, syria, syrian-arab-republic, tc, u-s-geological-survey, united-arab-emirates, usgs, usgs-60ad3d94d34e4043c850f291, wadi-surhan-basin-province-2029, wep, widyan-basin-interior-platform-province-2023, worldgeologicmaps, yemen, yemen-volcanic-basin-north-province-2001, yemen-volcanic-basin-south-province-2002, ym, zagros-fold-belt-province-2030, zagros-thrust-zone-province-2031
Organization: Department of the Interior
GRID Raster Dataset Model and TIN Model of the LaClede Bed Structure in the Green River and Washakie Basins, southwestern Wyoming

An ESRI GRID raster data model and TIN model of the LaClede bed of the Laney Member of the Eocene Green River Formation structure was needed to perform overburden calculations in the Green River and Washakie Basins, southwestern Wyoming as part of a National Oil Shale Assessment.

Tags: earth-science, economic-geology, energy-resources, eocene-green-river-formation, geology, geoscientificinformation, green-river-basin, laclede-bed, laney-member, natural-resources, oil, oil-shale, oil-shale-resources, oilshale, overburden, resource-assessment, structure, u-s-geological-survey, united-states, usgs, usgs-60dcad20d34e3a6dca21c905, washakie-basin, wy, wyoming
Organization: Department of the Interior
Historical Shorelines for Puerto Rico from 1901 to 1987

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion.  These data can help coastal managers understand which areas of the coast are vulnerable.
This data release and other associated products represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, part of the Graduate School of  Planning at the University of Puerto Rico, Rio Piedras Campus) has derived and compiled a database of historical shoreline positions using a variety of methods. These shorelines are used to measure the rate of shoreline change over time.

Tags: aerial-photos, atlantic-coast, caribbean, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, high-water-line, historical-shorelines, hwl, oceans, puerto-rico, shoreline, shoreline-change, t-sheets, u-s-geological-survey, united-states, usgs, usgs-60cb7627d34e86b938a3a1b0, wdl, wet-dry-line, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Isopachs of the combined thickness of the Calico and A-sequences of the Straight Cliffs Formation in the Kaiparowits Plateau study area, southern Utah (kjhthk*g)

This is a polygon coverage of isopachs of the combined
thickness of the Calico and A-sequences in the Kaiparowits
Plateau study area. The outside polygon defines the base of
the John Henry Member of the Straight Cliffs Formation east
of 112 degrees of longitude. The polygon includes areas
where the Calico and A-sequences have been partially eroded.
The northern boundary is delineated by the Paunsaugunt fault
and volcanic rocks of Tertiary age.

Tags: calico-and-a-sequences, coal, coal-bearing-interval, colorado-plateau, colorado-plateau-coal-assessment, colorado-plateau-coal-assessment-study-area, cplateaucoal, economy, environment, garfield-county, geoscientificinformation, isopach-showing-the-combined-thickness-of-the-calico-and-a-sequences, john-henry-member, kaiparowits-plateau, kaipcoal, kane-county, national-coal-resource-assessment, nca2000, ncra, southern-utah, straight-cliffs-formation, usgs-60cb6805d34e86b938a389d2
Organization: Department of the Interior
USGS National Assessment of Oil and Gas Project - Shale Gas Assessment Units

https://energy.usgs.gov/OilGas/AssessmentsData/NationalOilGasAssessment.aspx.

Tags: assessment-unit, earth-science, economic-geology, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, noga2000, oil, oilgas, resource-assessment, shale-gas-resources, shalegas, u-s-a, u-s-geological-survey, united-states, usgs, usgs-60cb5251d34e86b938a350d3, usgs-world-energy-region-5
Organization: Department of the Interior
National Land Cover Database (NLCD) 2019 Land Cover Science Product (ver. 2.0, June 2021)

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016.  The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed.  Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

Tags: biota, digital-spatial-data, gis, image-processing, imagerybasemapsearthcover, land-cover, u-s, u-s-geological-survey-usgs, united-states, us, usgs-60cb3da7d34e86b938a30cb9
Organization: Department of the Interior