AndreaBozzo/ceres-open-data-index huggingface dataset:
Geochemical Characteristics of the Conterminous United States: % P2O5

This raster depicts the percentage of lithological phosphorus pentoxide (P2O5) content in surface or near surface geology. We derived these rasters by calculating the average percent P2O5 content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from Soller and Reheis [2004]) to produce combined surficial-bedrock geologic maps that were similar to other states. We characterized geology based on the 201 different lithologies that the Geologic Map Database lists as occurring in the conterminous United States. Because some of these lithologies are known to have chemical attributes that vary widely, we created an additional 78 lithologic classes based on the common modifiers used in the geologic unit descriptions to better parse chemical variability within the lithologies (e.g., calcareous and noncalcareous sandstone). Modifiers were assigned base on descriptions of geologic formations obtained through either the Lexicon of Geologic Names of the United States or literature searches. Fifteen lithologic classes were not characterized because the class was not a specific rock type (e.g., mélange, water, and landslide). These classes were characterized as no data. We translated each state’s combined surficial-bedrock geologic maps into characteristics following the methods in Olson and Hawkins (2012) by assigning an estimate of each map unit’s percent P2O5 content to every occurrence of that map unit in the combined surficial-bedrock geologic map. This estimate was calculated as the average of literature or database values of the respective property for each lithological class contained within the map unit weighted by the prevalence of each lithological class within the map unit. The accompanying Excel workbook (Lith-MajorOxides.xls) contains a summary of all of the average geochemical characteristics for each lithology (“Lith Summary” tab) and tabs for each individual lithology that include the source of each record (e.g., originating from the Earth Chem Database or the specific literature reference), as well as the calculations used to determine the measure of central tendency (mean or median depending on the data). The final national raster was created by merging each of the individual state rasters. Users should be cognizant that some differences will exist in chemical and physical characterizations across state lines that are caused by unreconciled differences in lithologic descriptions or mapping scales used among the underlying state source maps.

Tags: bedrock, geochemistry, geology, p2o5, phosphorus, usgs-552b1890e4b026915857df12
Organization: Department of the Interior
Tabular data: Sediment Sample Locations Collected in March 2012 from the Northern Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Number 12BIM01)

As part of the Barrier Island Evolution Research (BIER) project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) collected sediment samples from the northern Chandeleur Islands in March and September 2012. The overall objective of this project, which integrates geophysical (bathymetric, seismic, and topographic) and sedimentologic data, is to better understand the depositional and erosional processes that drive the morphologic evolution of barrier islands over annual to interannual timescales (1 to 5 years). Between June 2010 and April 2011, in response to the Deepwater Horizon oil spill, the State of Louisiana constructed a sand berm extending more than 14 kilometers (km) along the northern Chandeleur Islands platform. The construction of the berm provided a unique opportunity to investigate how this new sediment source will interact with and affect the morphologic evolution of the barrier-island system. Data collected from this study will be used to describe differences in the physical characteristics and spatial distribution of sediments both along the axis of the berm and also along transects across the berm and onto the adjacent barrier island. Comparison of these data with data from subsequent sampling efforts will provide information about sediment interactions and movement between the berm and the natural island platform, improving our understanding of short-term morphologic change and processes in this barrier-island system.
This data series serves as an archive of sediment data collected in March and September 2012 from the Chandeleur Islands sand berm and adjacent barrier-island environments. Data products, including descriptive core logs, core photographs and x-radiographs, results of sediment grain-size analyses, sample location maps, and Geographic Information System (GIS) data files with accompanying formal Federal Geographic Data Committee (FDGC) metadata, can be downloaded from http://pubs.usgs.gov/ds/850/data.html.

Tags: 12bim01, barrier-island-evolution-research-project, barrier-island-mapping, chandeleur-islands, geology, geomorphology, geoscientificinformation, grab-sample, gulf-of-mexico, location, louisiana, oceans, push-core, sediment, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-55cc4043-0e4f-4dbf-a339-aa82832551b0
Organization: Department of the Interior
Onshore Industrial Wind Turbine Locations for the United States up to March 2014

This data set provides industrial-scale onshore wind turbine locations, corresponding facility information, and turbine technical specifications, in the United States to March 2014. The database has nearly 49,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality assured and quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, product date March 2, 2014, were used as the primary source of turbine data points. Verification of the position of turbines was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System (FAA ORS) numbers were visually identified and supplemental points were added to the collection.  A locational error of plus or minus 10 meters for turbine positions was estimated. Wind farm facility names were identified from publicly available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications assigned to were based on the make and model as described in literature, in the Federal Aviation Administration Digital Obstacle File, and information from the turbine manufacturers' websites. Some facility and turbine information did not exist or was difficult to obtain. Thus, uncertainty may be present. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.

Tags: alabama, alaska, arizona, arkansas, california, colorado, connecticut, data-set, dataset, delaware, district-of-columbia, energy, florida, georgia, geospatial-datasets, gis, hawaii, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, renewable, rhode-island, shapefile, south-carolina, south-dakota, structure, tennessee, texas, turbine, usgs-55c4aa9be4b033ef52106e2f, utah, utilitiescommunications, vermont, virginia, washington, west-virginia, wind, wind-facility, wind-farm, wind-turbine, windfarm, wisconsin, wyoming
Organization: Department of the Interior
Airborne geophysical survey: Prudhoe Bay Region

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-55bbf378-68ba-4dca-81c5-169455274593
Organization: Department of the Interior
Southwest U.S. Mechanically Treated Chaparral Photo Series: Species list

Accurate, complete fuels data are critical for making fuel management decisions and for predicting fire behavior and fire effects. A fuel photo series is a useful reference that allows natural resource managers to quickly quantify fuel and vegetation properties by comparing on site conditions to a series of photos showing a range of calculated fuel loads within a similar vegetative community. While there are photo series available for a wide range of ecosystem types nationwide, this type of information is lacking for natural and mechanically treated chaparral. The most likely reason for this information gap is the difficulty in collecting and photographing fuels in these dense fuel types.

Tags: chaparral, fuel-loads, mechanical-treatment, usgs-55ba7e73e4b05b91f6399fe5
Organization: Department of the Interior
Appendix 2. Simulated monthly mean streamflows for the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds in eastern and central Montana, for a baseline period (water years 1982–1999) and three future periods (water years 2021–2038, 2046–2063, and 2071–2038).

The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046–2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds.
Appendix 2 contains seven tables to accompany the forthcoming journal article Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana.

Tags: climate-change, effects-of-climate-change, fish, great-plains, model, montana, streamflow, streamflow-modeling, usgs-55b69c6ae4b09a3b01b5f653
Organization: Department of the Interior
MGL1111backsutm.xyb: Multibeam backscatter data collected by the U.S. Geological Survey in the Bering Sea in 2011 during cruise MGL1111, 100-meter gridded data in x, y, and backscatter (decibel) format, UTM zone 60 coordinates

This raster dataset represents approximately 49,581 square kilometers of Simrad EM122 multibeam backscatter-intensity data collected in the Bering Sea during U.S. Geological Survey (USGS) cruise MGL1111 aboard the R/V Marcus G. Langseth. Calibrated backscatter-intensity time-series data were adjusted for range-angle, beam pattern, and power-gain distortions.

Tags: backscatter-intensity, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-shelf, environment, geoscientificinformation, geospatial-datasets, image-mosaics, marine-geophysics, multibeam-echo-sounder, multibeam-sonar, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seismic-methods, substrate, u-s-geological-survey, usgs, usgs-568c34a0e4b0e7594ee778a5
Organization: Department of the Interior
Appendix 1. Sources, values, and ranges for selected Precipitation-Runoff Modeling System parameters for the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds in eastern and central Montana.

The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046-2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds.

Tags: climate-change, effects-of-climate-change, fish, great-plains, model, montana, streamflow, streamflow-modeling, usgs-55b69b4ce4b09a3b01b5f650
Organization: Department of the Interior
Habitat Categories for Greater Sage-grouse in Nevada and California (August 2014)

Sage-Grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries.HABITAT CATEGORY DETERMINATIONThe process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values &amp;lt; 0.5 SD.2) Moderate &amp;gt; 0.5 and &amp;lt; 1.0 SD. 3) Low &amp;lt; 1.0 . 4) Non-Habitat &amp;gt; 1.5 SD. Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern California—A decision-support tool for management: U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online)REFERENCES Beyer HL. 2012. Geospatial Modelling Environment (Version 0.7.2.0). http://www.spatialecology.com/gmeCoates PS, Casazza ML, Blomberg EJ, Gardner SC, Espinosa SP, Yee JL, Wiechman L, Halstead BJ. 2013. “Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems.” The Journal of Wildlife Management 77: 1598-1609.Doherty KE, Tack JD, Evans JS, Naugle DE. 2010. Mapping breeding densities of greater sage-grouse: A tool for range-wide conservation planning. Bureau of Land Management. Report Number: L10PG00911. Accessed at: http://www.conservationgateway.org/ConservationByGeography/NorthAmerica/Pages/sagegrouse.aspx# Duong T. 2012. ks: Kernel smoothing. R package version 1.8.10. http://CRAN.R-project.org/package=ksHorne JS, Garton EO. 2006. “Likelihood cross-validation versus least squares cross-validation for choosing the smoothing parameter in kernel home-range analysis.” Journal of Wildlife Management 70: 641-648.Silverman BW. 1986. Density estimation for statistics and data analysis. Chapman &amp;amp; Hall, London, United Kingdom.Vander Wal E, Rodgers AR. 2012. “An individual-based quantitative approach for delineating core areas of animal space use.” Ecological Modelling 224: 48-53.NOTE: This file does not include habitat areas for the Bi-State management area.

Tags: biota, biota-boundaries-environment, boundaries, environment, greater-sage-grouse, usgs-5488b64be4b02acb4f0c925a
Organization: Department of the Interior
Volumetric soil water content data measured by time-domain reflectometry for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset contains measurements of volumetric soil water content at certain quadrat locations (points) within 12 selected cedar glades. All soil water content measurements in this file were obtained using a portable time-domain reflectometry (TDR) unit (FieldScout TDR 300 Soil Moisture Meter; Spectrum Technologies, Inc., Plainfield, IL, USA) that was fitted with the shortest probe length, 3.8 centimeters (cm). Six measurements were obtained per quadrat, and the values present in the fields of this dataset represent the means of these six measurements. In some cases, equipment malfunction caused some missing data values; in these cases the values present in the fields represent means of at least three measurements per point. Missing measurements (either because fewer than 3 measurements were taken for a given point, or because a point was not sampled on a given day) are represented by the value -99999. This file contains observations only for those points that were candidates for TDR measurement, defined by having no exposed bedrock and at least 2 of 4 depth-to-bedrock measurements greater than 4 cm. Please note that this dataset can be used in conjunction with two associated datasets: STRI_glades_soil_Water_Content_OD.shp, which contains soil water content measurements obtained by gravimetric (oven-drying) analysis for points with insufficient soil depth for TDR measurement, and STRI_glades_soil_water_content_ALL.shp, which contains soil-water-content measurements obtained by both TDR and oven-drying methods wherein TDR measurements have been transformed to oven-drying-method equivalents using a calibration curve. For details on this calibration procedure to compare soil water content measurements obtained by the two methods, see the metadata section for the file STRI_glades_soil_water_content_ALL.shp.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: environment, geoscientificinformation, usgs-55afd182e4b09a3b01b51fc0
Organization: Department of the Interior
Soil temperature at 4 centimeters depth for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset represents data collected at 120 quadrat locations (points) within 12 selected cedar glades and contains measurements of soil temperature (at 4 centimeters depth) for each point. Measurements were obtained on the following dates (which correspond to the fields in the dataset): February 6t, 2012; March 5, 2012; April 2, 2012; April 23, 2012; May 25, 2012; June 21, 2012; July 19, 2012; August 23, 2012; September 27, 2012; November 5, 2012; December 17, 2012; January 21, 2013; February 18, 2013; March 19, 2013; April 15, 2013; and May 13, 2013. Points were classified into four groups (identified by the field "Group") and were visited on a rotating sampling schedule, such that each group of points was visited roughly once every four months. Soil temperature at 4 centimeters depth was measured using a Taylor 9842N waterproof digital thermometer (Taylor Inc., Oak Brook, IL, USA). Three soil temperature measurements were taken at each point (50-centimeter by 50-centimeter quadrat). Attribute values for each field represent the means of the three measurements. Missing values (points not measured on a given day) are indicated by the value -99999.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: environment, geoscientificinformation, usgs-55afd0a6e4b09a3b01b51f4f
Organization: Department of the Interior
Soil respiration data for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset contains measurements of soil respiration at certain quadrat locations (points) within 12 selected cedar glades. Field measurements were made of soil respiration (carbon dioxide efflux) using a LICOR Infrared Gas Analyzer (IRGA), LI-6400 XT portable photosynthesis device (LICOR Inc., Lincoln, NE, USA), fitted with a soil-chamber attachment. At least 48 hours prior to soil respiration measurement, three soil collars (plastic rings of approximately 2 inches depth) were inserted into the soil surface at each point and the height of each soil collar above the soil surface was measured. Soil respiration measurements were made using a threshold set point based on ambient carbon dioxide concentration at the time of measurement, and two measurement cycles were completed at each soil collar, yielding six total respiration measurements per point. Soil respiration measurements are expressed as carbon dioxide efflux in micromoles per square meter per second and represent the mean of the six measurements per quadrat location.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: biota, environment, geoscientificinformation, usgs-55afd062e4b09a3b01b51f2a
Organization: Department of the Interior