AndreaBozzo/ceres-open-data-index huggingface dataset:
Geochemical Characteristics of the Conterminous United States: % Al2O3

This raster depicts the percentage of lithological aluminum oxide (Al2O3) content in surface or near surface geology. We derived these rasters by calculating the average percent Al2O3 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 Al2O3 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: al2o3, aluminium, bedrock, geochemistry, geology, usgs-55303358e4b0b22a1580349e
Organization: Department of the Interior
Geochemical Characteristics of the Conterminous United States: % Na2O

This raster depicts the percentage of lithological sodium oxide (Na2O) content in surface or near surface geology. We derived these rasters by calculating the average percent Na2O 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 Na2O 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, na2o, sodium, usgs-552ee7a6e4b0b22a15803101
Organization: Department of the Interior
Geochemical Characteristics of the Conterminous United States: % SiO2

This raster depicts the percentage of lithological silicon dioxide (SiO2) content in surface or near surface geology. We derived these rasters by calculating the average percent SiO2 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 SiO2 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, silica, sio2, usgs-552d9ea4e4b0b22a157f65c2
Organization: Department of the Interior
Sediment Thickness--Pigeon Point to Monterey, California

This part of DS 781 presents data for the sediment-thickness map of the Pigeon Point to Monterey, California, map region. The raster data file is included in "SedimentThickness_PigeonPointToMontereyBay.zip," which is accessible from https://doi.org/10.5066/F7N29V0Z.
As part of the USGS's California State Waters Mapping Project, a 50-m-resolution grid of sediment thickness for the seafloor within the limit of California’s State Waters between Pigeon Point and southern Monterey Bay was generated from seismic-reflection data collected in 2009, 2010, and 2011 (USGS activities (S-15-10-NC, S-N1-09-MB, and S-06-11-MB) supplemented with outcrop and geologic structure from DS 781. Isopach contours at 2.5-meter intervals were derived from this sediment-thickness grid and are also available in this data release.

Tags: ano-nuevo, aptos, coastal-geology, distributions, environment, geoscientificinformation, geospatial-datasets, maps-and-atlases, marina, marine-geology, monterey, monterey-county, moss-landing, oceans, pacific-ocean, physical-habitats-and-geomorphology, san-mateo-county, santa-cruz, santa-cruz-county, sediment-deposition, sediment-isopach, sediment-thickness, seismic-reflection-data, seismic-reflection-methods, seismic-reflection-profiling, soquel, state-of-california, stratigraphic-thickness, usgs-56d60743e4b015c306f27009
Organization: Department of the Interior
Depth to Transition--Pigeon Point to Monterey, California

This part of DS 781 presents data for the depth-to-transition map of the Pigeon Point to Monterey, California, map region. The raster data file is included in "DepthToTransition_PigeonPointToMonterey.zip," which is accessible from https://doi.org/10.5066/F7N29V0Z.
As part of the USGS's California State Waters Mapping Project, a 50-m-resolution grid of sediment thickness for the seafloor within the limit of California’s State Waters between Pigeon Point and southern Monterey Bay was generated from seismic-reflection data collected in 2009, 2010, and 2011 (USGS activities (S-15-10-NC, S-N1-09-MB, and S-06-11-MB) supplemented with outcrop and geologic structure from DS 781. The resulting grid was subtracted from regional bathymetry to determine the depth to the transitional surface. Contours at 5-meter intervals were derived from this depth-to-transition grid and are also available in this data release.

Tags: ano-nuevo, aptos, coastal-geology, distributions, environment, geoscientificinformation, geospatial-datasets, maps-and-atlases, marina, marine-geology, monterey, monterey-county, moss-landing, oceans, pacific-ocean, physical-habitats-and-geomorphology, san-mateo-county, santa-cruz, santa-cruz-county, sediment-deposition, sediment-isopach, sediment-thickness, seismic-reflection-methods, seismic-reflection-profiling, soquel, state-of-california, stratigraphic-thickness, usgs-56d60718e4b015c306f27007
Organization: Department of the Interior
Surficial Sediment Data Collected During U.S. Geological Survey (USGS) Cruise R/V RAFAEL 2012-002-FA in H12023 Study Area in Block Island Sound (2012-002_023SEDDATA.SHP)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2012, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sidescan-sonar, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see &lt;http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-002-FA&gt;.

Tags: atlantic-ocean, block-island-sound, clay, cmgp, coastal-and-marine-geology-program, environment, esri-point-shapefile, field-activity-number-2012-002-fa, geoscientificinformation, geospatial-datasets, grain-size-analysis, gravel, ground-truth, info-bank-id-r-02-12-li, location, marine-geology, navigational-data, north-america, northeast-united-states, oceans, ofr-2013-1003, open-file-report-2013-1003, r-v-rafael, rhode-island, sand, sea-floor, sea-floor-characteristics, seaboss, sediment-data, sediment-samples, sediments, silt, stations, surficial-sediment-classification, u-s-geological-survey, united-states, usgs, usgs-53c8fe9f-397a-4903-b55d-e715abd3dae0, van-veen-grab-sampler, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Wyoming Landscape Conservation Initiative (WLCI) - Important Agricultural Lands Assessment Project (Datasets)

The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management questions. The IA analysis was conducted using a Geographic Information System in a raster (that is, a grid) environment using a cell size of 30 meters. To facilitate the data in a regional context, mean values were summarized and displayed at the subwatershed unit (WLCI subwatersheds were subset from the National Hydrography Dataset, Hydrologic Unit Code 12/Level 6). A dynamic mapping platform, accessed via the WLCI webpage at http://www.wlci.gov is used to display the mapped information, and to access underlying resource values that were combined to produce the final mapped results.
The raster datasets included in this data release represent an update to the Wyoming Landscape Conservation Initiative’s (WLCI) Important Agricultural Lands (IA) assessment. These data represent an initial step towards spatially identifying lands that represent greater importance in the agricultural context and can be used by interested parties to conduct further geospatial analysis. This data release contains 10 spatial data sets: irrigated acreage in wet years, irrigated acreage in dry years, land classification for pasture/rangeland/ production, important grazing and calving areas, buffered locations of water 'guzzlers,' an elk depredation claims index, a mule deer depredation claims index, an antelope depredation claims index, an index based on the age of agricultural buildings associated with land parcels, and a raster containing synthesized results using these 9 data sets. The synthesized results data set is a normalized unit-less layer that speaks to the range of varying levels of importance of land parcels associated with agriculture in the region.

Tags: aquatic-habitat, energy-development, environment, geoscientificinformation, ia, landscape-scale-conservation, southwest-wyoming, sw-wyoming, terrestrial-habitat, united-states, usa, usgs-551c036fe4b0323842783a90, wlci, wlci-integrated-assessment, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Sediment Oxygen Demand Data for Eastern Kansas Streams, August 2014 through December 2015

This U.S. Geological Survey (USGS) Data Release provides data collected from sediment oxygen demand (SOD) deployments conducted at eight stream sites in eastern Kansas during August 2014 through December 2015. Continuous water-quality monitors were used to measure water temperature, dissolved oxygen, pH, specific conductance, turbidity, and total algae (chlorophyll-a and phycocyanin) at thirty second intervals. All data are reported as raw measured values and are not rounded to USGS significant figures. The dataset includes all water-quality data collected during sediment oxygen demand deployments.

Tags: chlorophyll, dissolved-oxygen, field-deployment, grouse-creek, indian-creek, kansas, kansas-river, little-arkansas-river, marmaton-river, ph, phycocyanin, pottawatomie-creek, sediment, sediment-oxygen-demand, sediment-oxygen-demand-chamber, specific-conductance, turbidity, united-states, usgs-56d5d267e4b015c306f26e3a, usgs-station-id-06887500, usgs-station-id-06892350, usgs-station-id-06914100, usgs-station-id-06917500, usgs-station-id-07144200, usgs-station-id-07146900, usgs-station-id-07148111, usgs-station-id-385608094380300, walnut-river, water-temperature
Organization: Department of the Interior
Aquatic invertebrates and vegetation and water-quality of Big Stone National Wildlife Refuge, Minnesota: 2013-2014

During 2013 and 2014 aquatic invertebrates were collected and vegetation was inventoried from sample locations distributed throughout Pool 10 and West Pool of Big Stone National Wildlife Refuge. Invertebrate sampling was conducted using aquatic activity traps and by collecting organisms from submersed vegetation. Vegetation was inventoried through a combination of visual observation and collection using the rake method. In conjunction with the invertebrate and vegetation sampling, water depth was recorded and the following water-quality parameters were collected using a multi-parameter Sonde: dissolved oxygen, oxidation-reduction potential, pH, specific conductance, water temperature, and turbidity. For the aquatic invertebrates, the database includes taxonomic identification, number, and mass for each sample (activity trap). Vegetation variables for each subsampling area include taxonomic identification, an overall and species-specific visual density rating, and a density rating for the rake samples. Presence of non-common species also is included.

Tags: aquatic-insects, aquatic-organisms, aquatic-plants, big-stone-national-wildlife-refuge, freshwater-ecosystems, lac-qui-parle-county, limnetic, minnesota, riparian, usgs-56d4c644e4b015c306f17ac6, water-quality-measurement, zooplankton
Organization: Department of the Interior
LANDFIRE Remap Forest Canopy Height (CH) Marshall Islands

LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression equations derived from Forest Vegetation Simulator (FVS) plot data output, but at non-disturbed locations it is assigned the midpoint of Fuel Vegetation Height (FVH) forested classes. In some instances, LF Remap assumes the potential burnable biomass in the tree canopy has been accounted for in the surface fuel model. For example, young or short conifer stands where the trees are represented by a shrub type fuel model will not have canopy characteristics.
LF Remap Annual Disturbance products are incorporated into CH to provide informed changes by disturbance type, severity, and time since disturbance (TSD). Annual Disturbance products provide a pre-disturbance scenario represented by LF Remap existing vegetation products, the reporting of pre-disturbance scenarios helps to calculate CH. Vegetation adjustments are then modeled in disturbance areas based on disturbance type and severity. CH is then used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine; the starting point for embers in the spotting model, wind reductions, and the volume of crown fuels.
CH also has capable fuels functionality, capable fuels calculate TSD assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, canopy-height, ch, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, marshall-islands, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-56d0b79e-a168-4cd3-923c-383f262514ca
Organization: Department of the Interior
DC resistivity data files from the 2014 Minute 319 Pulse Flow in the Colorado River Delta

Time-lapse DC resisitivity data were collected to monitor water table position during the 2015 Lower Coloradro River Pulse Flow. Resistivity data are sensitive to water-content change in the subsurface. DC resistivity data were collected at three transects. In the U.S., one transect was located parallel to the channel in the southern limitrophe reach nearby a streamgaging station. In Mexico, two transects were measured, one parallel and one perpendicular to the channel.

Tags: geophysics, hydrology, usgs-56d0b51ae4b015c306ee99ac
Organization: Department of the Interior
Electromagnetic induction tabular data from the 2014 Minute 319 Pulse Flow in the Colorado River Delta

For the Minute 319 pulse flow, electromagnetic induction surveys were carried out jointly by the USGS and UABC-CICESE. Measurements were made at 5 m intervals and transect lengths ranged from 55 m to 200 m.

Tags: geophysics, hydrology, usgs-56d0b4c3e4b015c306ee99a6
Organization: Department of the Interior