AndreaBozzo/ceres-open-data-index huggingface dataset:
Delineated Coastal Cliff Transects Derived from Post-Hurricane Maria Lidar Elevation Data Collected from Puerto Rico: 2018

The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset consists of delineated coastal cliff transects that may be used to assess the hazard posed by eroding coastal cliffs on the islands of Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics and to measure overall cliff changes over time. Cliff tops and cliff toes were identified along three-dimensional (3D) transects using the Cliff Feature Delineation Tool (Seymour and others, 2020), which assigned coordinate locations (X, Y, Z) of cliff features over a 140,244-meter (m) stretch of the Puerto Rican coastline at 10-m intervals and output them as either polyline (cliff transects) or point (cliff top or toe) shapefiles. Feature delineation was preformed using post-Hurricane Maria (landfall was September 20, 2017) rasterized topobathy lidar elevation data collected by the U.S. Army Corps of Engineers and published by the National Oceanic and Atmospheric Administration National Centers for Environmental Information (2018) as bare earth digital elevation model (DEM) files. The delineation tool (Seymour and others, 2020) was used to generate 3D point features in Esri ArcGIS shapefile format representing the cliff transects, these files should be opened in a 3D geographic information system (GIS) viewer.

Tags: altimetry, bathymetry-and-elevation, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, culebra, distributions, effects-of-coastal-change, elevation, environment, geoscientificinformation, hazards, hurricanes-and-typhoons, marine-geology, ocean-sciences, oceans, physical-habitats-and-geomorphology, puerto-rico, shoreline-accretion, shoreline-erosion, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-erosion, topographic-mapping, u-s-geological-survey, united-states-of-america, usgs, usgs-0bd4692c-3a92-4663-b6e0-a5d4105d125e, vieques
Organization: Department of the Interior
Station MTKM02; Magnetotelluric sounding data in the Silverton Caldera complex, Colorado, 2019

This dataset includes magnetotelluric (MT) sounding data collected in July 2019 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 24 sites along five profiles ranging from 2 to 5 kilometers in length: across Red Mountain of the Silverton caldera, within the caldera in Eureka Graben, across the south-eastern margin of the caldera along Arrastra Gulch, across the southern margin of the caldera along the western margin of Kendall Mountain, and across the south-western margin of the caldera along South Fork Mineral Creek. The data included here are for MT station MTKM02 located along the western margin of Kendall Mountain.

Tags: a-shallow-to-deep-view-inside-the-hydrothermally-altered-and-mineralized-silverton-caldera-comp, abandoned-mine-lands-cleanup, abandoned-mines-and-quarries, animas-river, apparent-resistivity, arrastra-gulch, colorado, department-of-the-interior, doi, economy, electric-field-earth, eureka-graben, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, gps-measurement, hydrothermal-processes, impedance, impedance-phase, impedance-strike, kendall-mountain, magnetic-field-earth, magnetotelluric, magnetotelluric-surveying, mineral-deposits, mineral-resources, mineral-resources-program, mrp, mt, ouray-county, red-mountain, san-juan-county, san-juan-silverton-caldera-complex, silverton, sounding, south-fork-mineral-creek, southern-rocky-mountains, southern-rocky-mountains-volcanic-field, tipper, u-s-forest-service, u-s-geological-survey, usfs, usgs, usgs-5f07227882ce21d4c3fb6335, water-quality
Organization: Department of the Interior
USGS Gulf Coast Petroleum Systems, and National and Global Oil and Gas Assessment Projects-Eagle Ford Group and Associated Cenomanian-Turonian Strata Assessment Unit Boundaries and Assessment Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas in the Eagle Ford group and Associated Cenomanian-Turonian Strata, Texas Gulf Coast.  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. This data release also contains machine readable excel data for assessment input data and and human readable assessment input forms and area allocation tables.  Documentation for these data files is included (Input Forms Column Descriptions.xlsx).  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).

Tags: assessment-unit, cenomanian-turonian-downdip-continuous-gas, cenomanian-turonian-mudstone-continuous-gas, cenomanian-turonian-mudstone-continuous-oil, continuous-assessment-unit, eagle-ford-marl-continuous-gas, eagle-ford-marl-continuous-oil, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, state-of-louisiana, state-of-mississippi, state-of-texas, submarine-plateau-karnes-trough-continuous-gas, submarine-plateau-karnes-trough-continuous-oil, unconventional-assessment-unit, united-states-of-america, usgs-5d1246c2e4b0941bde56e84f
Organization: Department of the Interior
Oil and Gas Exploration and Production in the State of Ohio Shown as Quarter-Mile Cells

A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Ohio.  Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry.  The well information was acquired from the Ohio Department of Natural Resources, Division of Geological Survey in a Geographic Information System (GIS) data layer that contains all of the locatable oil and gas wells in Ohio.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data.  No proprietary data are displayed or included in the cell maps.  The data are current as of 2004.

Tags: coalbed-methane, coalbed-methane-resources, earth-science, economic-geology, economy, energy-resources, environment, gas, geologic-soils, geology, geoscientificinformation, historicalproduction, impacts-of-energy-production, natural-gas, natural-gas-resources, natural-resources, north-america, oh, ohio, oil, oil-and-gas-exploration, oil-and-gas-production, oil-and-natural-gas, oil-sand-resources, oil-shale-resources, oilgas, petroleum, sedimentary-basin, u-s, u-s-geological-survey, united-states, united-states-of-america, usa, usgs, usgs-664b5e0fd34e1955f5a4720d
Organization: Department of the Interior
Litter Decomposition Rates, 2015

This data set contains decomposition rates for litter of Salicornia pacifica, Distichlis spicata, and Deschampsia cespitosa buried at 7 tidal marsh sites in 2015. Sediment organic matter values were collected at a subset of sites.
These data support the following in-press publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R., Thorne, K.M., Dugger, B.D., and Takekawa, J.Y., 2017. Inundation, vegetation, and sediment effects on litter decomposition in Pacific coast tidal marshes. Ecosystems.

Tags: carbon-cycling, climate-change, decomposition, deschampsia-cespitosa, distichlis-spicata, inundation, organic-matter, plant-composition, salicornia-pacifica, sea-level-change, tidal-marsh, usgs-58703419e4b01a71ba0c6075
Organization: Department of the Interior
Supporting data for two MWBMglacier applications to the Copper River basin in Alaska

These data can be used to replicate the application of MWBMglacier as described in two journal articles: 1) Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed (in review), and 2) Hydrologic regime changes in a high-latitude glacierized watershed under future climate conditions (doi:10.3390/w10020128).
These simulations provide results from historical and 12 future general circulation model scenarios for the period 1949-2099 to determine the potential effects of climate change on the hydrology and water quality of a snow-dominated mountainous environment. In addition to the inputs and outputs, this Data Release includes summaries of the input and output data in netCDF format.

Tags: glaciology, hydrology, mathematical-modeling, snow-and-ice-cover, usgs-5a4d485ae4b0d05ee8c4d179
Organization: Department of the Interior
Projected future elevation change of coastal wetlands in the Nisqually River Delta, Washington

This dataset consists of raster geotiff outputs from modeling vertical accretion and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-year increments for 100 years for five amounts of sea-level rise, three amounts of suspended sediment concentrations, and two alternative configurations of the U.S. Interstate-5 causeway as it crosses the Nisqually River to either prevent or allow inland habitat migration (a total of 30 scenarios). The full methods and results are described in detail in the parent manuscript, “Can coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and its value to sea-level rise for adaptation planning in a Puget Sound estuary” (2022).

Tags: brackish-marsh, effects-of-climate-change, emergent-tidal-wetland, estuarine-coastal, freshwater-tidal-marsh, high-salt-marsh, low-and-intermediate-salt-marsh, nisqually, northwest-climate-adaptation-science-center, nwcasc, pierce, thurston, tidal-forest-woodland, u-s-geological-survey, usgs, usgs-620abd06d34ec05caca60deb, vegetated-tidal-flats, washington, western-geographic-science-center, wgsc
Organization: Department of the Interior
Hourly computed potential evapotranspiration in thousandths of an inch, January 1, 1948 - September 30, 2019

The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2019. Daily PET were computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2019), and data processing followed the guidelines documented in Over and others (2010).
References Cited:
Argonne National Laboratory, 2019, Meteorological data, accessed on November 6, 2019, at http://www.atmos.anl.gov/ANLMET/.
Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020.
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Tags: argonne-national-laboratory-illinois, dekalb-illinois, dupage-county-illinois, ohare-international-airport-illinois, potential-evapotranspiration, st-charles-illinois, usgs-5ea1f48982cefae35a191912
Organization: Department of the Interior
Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks

The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated.
These attributes are based on the National Hydrography Dataset Plus V2.1 (NHDPlusV2) network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2) datasets. The attributes included are: comid, tocomid, fcode, nameID, lengthkm, reachcode, frommeas, tomeas, arbolate_sum, terminalpa ,hydroseq, levelpathi, pathlength, dnhydroseq, areasqkm, totdasqkm, terminalfl, dnlevelpat. These attributes are available in three formats: csv, fst, and parquet. "fst" is a high performance format for use with the R programming language "fst" package. "parquet" is a high performance format for use with multiple programming languages (including pythong) that support the Apache Arrow Parquet format.

Tags: hydrography, hydrology, inlandwaters, network, usgs-60c92503d34e86b9389df1c9
Organization: Department of the Interior
A geodatabase of Woodruff, K.D., and Christopher, M.J., 1982, Thickness of Regolith in the Delaware Piedmont: Delaware Geological Survey Open File Report No. 19, scale 1:24,000.

This Scientific Data Release is a spatial geodatabase containing Woodruff, K.D. Christopher, M.J., 1982, Thickness of Regolith in the Delaware Piedmont: Delaware Geological Survey Open File Report No. 19, scale 1:24,000, formatted to Geologic Map Schema (GeMS) standards. These geospatial data depict the total thickness (regolith) of both the loose, transported material and the weathered rock that overlies crystalline rocks of the Delaware Piedmont. Land-use planners of many kinds (including National Forest managers, developers, city and rural planners, and highway builders) need accurate geologic data with which to make informed decisions. This geodatabase was produced in support of the U.S. Geological Survey U.S. Geoframework Initiative in the Delaware River Basin. The project was funded as part of the National Cooperative Geologic Mapping Program.

Tags: delaware, geology, geoscientificinformation, stratigraphic-thickness, united-states, usgs-65b18287d34e36a39044c477
Organization: Department of the Interior
GIS Shapefile of Irrigated Agricultural Acreage for 11 complete counties fully or partially within the St. Johns River Water Management District, 2022–23

A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between November 2022 and June 2023 was compiled for the full county extents of Brevard, Clay, Duval, Flagler, Indian River, Nassau, Osceola, Putnam, Seminole, St. Johns, and Volusia Counties, Florida. These eleven counties are fully or partially within the St. Johns River Water Management District (SJRWMD). Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.

Tags: brevard-county, clay-county, crop-type, duval-county, environment, farming, flagler-county, florida, florida-department-of-agriculture-and-consumer-services, groundwater, image-collections-aerial-photography, indian-river-county, inlandwaters, irrigation-type, land-use, land-use-classification-codes, nassau-county, osceola-county, putnam-county, seminole-county, st-johns-county, st-johns-river-water-management-district, surface-water, usgs-6581c53cd34e38c885a5d0a5, volusia-county
Organization: Department of the Interior
Hawaiian Islands downscaled ensemble projections for future (2040-2059 and 2060-2079) climate scenarios (RCPs 2.6, 4.5, 6.0, 8.5)

Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the differential strengths of global downscaling datasets. We also explored the patterns and magnitude of change for these regional projected climate shifts to determine their plausibility as future climate scenarios using Hawaiʻi as an example region. While our ensemble projections were shown to largely reduce the deviations between model and observation-based current climate, we show projected climate shifts from these commonly used global datasets can fall well outside the range of future scenarios derived from fine-tuned regional downscaling efforts, and hence should be carefully evaluated. This data release includes a baseline (1983-2012) model as well future climate projections for mid- (2040-2059) and late-century (2060-2079) for three regionally-adapted global datasets (CHELSA, WorldClim2, and an ensemble). We considered mean annual temperature (MAT) and mean annual precipitation (MAP) as our primary variables for comparison since they are the most widely used and desired datasets for climate impact studies. These regionally-downscaled future climate projections are available for various individual Global Circulation Models (GCMs) under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for each global dataset.

Tags: climate-shifts, downscaling, future-scenarios, global-circulation-models, hawaii, main-hawaiian-islands, regional-projections, usgs-62ce699ed34e82ff904ac9a8
Organization: Department of the Interior
Oregon Mule Deer Steens Mountain Winter Ranges

The Steens Mountain mule deer herd contains an estimated 3,710 individuals (ODFW 2023). Most GPS-collared mule deer are either nonmigratory or use an elevational migration route along the Steens Mountain fault block. Winter ranges for the Steens Mountain mule deer herd surround Steens Mountain at lower elevations. These winter range habitats are diverse, primarily consisting of sagebrush and early shrub-tree habitat with encroaching western juniper and previously burned, native, and invasive annual grasslands. Migratory mule deer summer at higher elevations on Steens Mountain in habitats featuring quaking aspen, mountain big sagebrush, mountain shrub, early shrub-tree, western juniper, and post-fire native grassland communities. Mule deer can compete with feral horses during drought years because seasonal ranges and migration corridors overlap four HMAs. The combined Kiger, Riddle Mountain, and Sheepshead-Heath Creek HMAs encompass more than 265,000 acres (107,000 ha) and respectively contain 183 horses, 165 horses, and 224 horses in comparison to the maximum AMLs of 82 horses, 56 horses, and 302 horses (BLM, 2023b). To the south, the 280,715-acre (113,601-ha) South Steens HMA contains 606 horses, nearly double the maximum AML of 304 feral horses. To help improve mule deer populations, the Steens Mountain WMU, which incorporates most of the Steens Mountain mule deer herd, was included in the 2015 Mule Deer Initiative (ODFW, 2020). Since 2015, ODFW, BLM, and NRCS SGI have removed 4,897 acres (1,982 ha) of western juniper and reseeded 35,121 acres (14,213 ha) for native shrubs and grasses along with completing other habitat enhancement projects. The 170,200-acre (68,877-ha) Steens Mountain Wilderness in the central and eastern portion of the herd’s range is also closed to motorized vehicles and cattle grazing throughout the year.
These mapping layers show the location of the winter ranges for mule deer (Odocoileus hemionus) in the Steens Mountain population in Oregon. They were developed from 56 winter sequences collected from a sample size of 19 animals comprising GPS locations collected every 5-13 hours.

Tags: animal-behavior, biota, frenchglen, migration-organisms, migratory-species, oregon, united-states, usgs-679179ddd34ea6a4002bfaf4
Organization: Department of the Interior
Carbon dioxide-induced mortality of four species of North American fishes

There is growing interest in the use of carbon dioxide (CO2) as a management tool for controlling invasive fishes.  However, there is limited published data on susceptibility of many commonly encountered species to elevated CO2 concentrations.  Our objective was to estimate the 24-h LC50 and LC95 of four fishes (Rainbow Trout Oncorhynchus mykiss, Common Carp Cyprinus Carpio, Channel Catfish Ictalurus punctatus, and Westslope Cutthroat Trout Oncorhynchus clarkii lewisi).  In the laboratory, we exposed fingerlings to a range of levels of CO2 for 24-h in unpressurized, flow-through tanks.  A Bayesian hierarchical model was developed to estimate the dose response relationship for each species of fish with associated uncertainty, and posterior draws were obtained for the 24-h LC50 and LC95 values for each species.  The 24-h LC50 (95% posterior interval) values were estimated as 150.7 (138.2 to 166.0) mg CO2/L for Rainbow Trout, 193.5 (177.6 to 212.0) mg CO2/L for Westslope Cutthroat Trout, 340.4 (308.7 to 375.4) mg CO2/L for Common Carp, and 352.2 (313.9 to 391.1) mg CO2/L for Channel Catfish.  The 24-h LC95 (95% posterior interval) values were estimated as 190.6 (177.2 to 207.8) mg CO2/L for Rainbow Trout, 245.0 (222.2 to 272.2) mg CO2/L for Westslope Cutthroat Trout, 422.5 (374.7 to 474.5) mg CO2/L for Common Carp, and 434.2 (377.2 to 492.2) mg CO2/L for Channel Catfish.  We observed complete mortality at 275 mg CO2/L (38,671.67 µatm), 225 mg CO2/L (30,710.74 µatm), and 495 mg CO2/L (65,707.70 µatm (CC); 77,212.55 µatm (CF)) for Westslope Cutthroat Trout, Rainbow Trout, and both Common Carp and Channel Catfish, respectively.  Although the experimental findings show strong relationships between increased CO2 concentration and higher mortality, additional work is needed to assess the efficacy and feasibility of a CO2 application in a field setting.

Tags: biota, carbon-dioxide, lc95, mortality, piscicide, usgs-5e2eee09e4b0a79317d421a6
Organization: Department of the Interior