AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeled conterminous United States Crop Cover datasets for 2002

Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000-2013 at 250 meter spatial resolution. The CCM and the maps for years 2008-2013 were assessed for accuracy relative to downscaled NASS CDLs to 250 meter. The CCM performed well against a withheld test dataset with a prediction accuracy of over 90 percent. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains. However, the model did show a bias toward the “Other” crop cover class which caused frequent misclassifications of pixels around the periphery of large crop cover patches and of pixels that form small, sparsely dispersed crop cover patches.

Tags: conterminous-united-states, crop-cover, cropland-data-layers, decision-tree-classifier, nass-cdl, usgs-578e421ee4b0f1bea0e14781
Organization: Department of the Interior
Modeled conterminous United States Crop Cover datasets for 2001

Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000-2013 at 250 meter spatial resolution. The CCM and the maps for years 2008-2013 were assessed for accuracy relative to downscaled NASS CDLs to 250 meter. The CCM performed well against a withheld test dataset with a prediction accuracy of over 90 percent. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains. However, the model did show a bias toward the “Other” crop cover class which caused frequent misclassifications of pixels around the periphery of large crop cover patches and of pixels that form small, sparsely dispersed crop cover patches.

Tags: conterminous-united-states, crop-cover, cropland-data-layers, decision-tree-classifier, nass-cdl, usgs-578e4127e4b0f1bea0e14777
Organization: Department of the Interior
Modeled conterminous United States Crop Cover datasets for 2000

Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000-2013 at 250 meter spatial resolution. The CCM and the maps for years 2008-2013 were assessed for accuracy relative to downscaled NASS CDLs to 250 meter. The CCM performed well against a withheld test dataset with a prediction accuracy of over 90 percent. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains. However, the model did show a bias toward the “Other” crop cover class which caused frequent misclassifications of pixels around the periphery of large crop cover patches and of pixels that form small, sparsely dispersed crop cover patches.

Tags: conterminous-united-states, crop-cover, cropland-data-layers, decision-tree-classifier, nass-cdl, usgs-578e403de4b0f1bea0e14740
Organization: Department of the Interior
Mobile Harbor Navigation Channel Delft3D Model Inputs and Results - Existing Condition 2010 Simulation Without Sea Level Rise

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and velocities. The validated model was used to simulate scenarios of existing conditions and proposed with-project conditions (for example, channel deepening and widening). Simulations were performed for one year (the year 2010) and ten years, with and without 0.5 meters (m) of sea level rise. Model inputs and outputs in the form of topography and bathymetry for the scenario runs as well as output water levels and velocities for the deterministic runs are provided in this data release. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to USGS Open-File Report 2018-1123.

Tags: alabama, bathymetry, coastal, coastal-ecosystems, digital-elevation-models, elevation, estuaries, estuarine-ecosystems, geomorphology, geoscientificinformation, gulf-of-mexico, marine-geology, marine-sediment-transport, mobile-bay, morphologic-change, north-america, ocean-processes, oceans, sea-level-change, sediment-transport, spcmsc, st-petersburg-coastal-and-marine-science-center, topography, u-s-geological-survey, united-states-of-america, usgs, usgs-57888764-0fec-4b35-8d3d-d48d9a7b28d6
Organization: Department of the Interior
Bathymetric contours of lower Sixmile Creek reservoir, Ithaca, New York, 1938

Water depths for the lower Sixmile Creek reservoir in Ithaca, Tompkins County, N.Y. that were measured during 1938 were found in the files of the GIS Program, City of Ithaca. This agency computed bathymetric elevations and created a bathymetric surface (TIN) of the reservoir. A contour-line shapefile was created from this TIN.

Tags: bathymetry-data, ithaca-ny, new-york, sixmile-creek, tompkins-county-ny, usgs-57eaca17e4b09082500db1b2
Organization: Department of the Interior
Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams

This USGS Data Release represents the data used to develop multiple linear regression models for estimating the loads of total nitrogen in small streams. Recursive partitioning and random forest regression were used to assess 85 geospatial, environmental, and watershed variables across 636 small (less than 585 square kilometers) watersheds to determine which variables are fundamentally important to the estimation of annual loads of total nitrogen. These data support the following publication: Kronholm, S.C., Capel, P.D., and Terziotti, Silvia, 2016, Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams: Environmental Modeling and Assessment, 10 p., http://dx.doi.org/10.1007/s10666-016-9525-3.

Tags: fundamental-variables, national-model, nitrogen, random-forest-regression, recursive-partitioning, usgs-5787aa92e4b0d27deb375469
Organization: Department of the Interior
Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011

This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2. Because this work resulted from a Masters Thesis at Colorado State University, data will also be served to the public by CSU at https://dspace.library.colostate.edu/handle/10217/170347.

Tags: arizona, biota, climatologymeteorologyatmosphere, ephemeral-stream-channels, landsat-tm, monsoon-season, ndvi, normalized-difference-vegetation-index, sonoran-desert, southwestern-united-states, usgs-5786aa1be4b0e02680c150b9, yuma-proving-ground
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Bedrock Permeability Classes

This tabular data set represents bedrock permeability classes compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for the bedrock permeability classes in the Principal Aquifer dataset produced by the U.S. Geological Survey, 2003. Units are percent of catchment covered by each class. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

Tags: bedrock-permeability, catchment, inlandwaters, nawqa, nhdplus, sparrow, usgs-57867c33e4b0e02680c14fff
Organization: Department of the Interior
Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015)

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://gsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/
Additional details about the algorithm used to generate these products are described in Hawbaker, T.J., Vanderhoof, M.K., Beal, Y.G., Takacs, J.D., Schmidt, G.L., Falgout, J.T., Williams, B., Brunner, N.M., Caldwell, M.K., Picotte, J.J., Howard, S.M., Stitt, S., and Dwyer, J.L., 2017. Mapping burned areas using dense time-series of Landsat data. Remote Sensing of Environment 198, 504522. doi:10.1016/j.rse.2017.06.027
First release: 2017
Revised: September 2017 (ver.1.1)

Tags: alabama, arizona, arkansas, baecv, burned-area, california, colorado, connecticut, delaware, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, landsat, 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, prescribed-fire, rhode-island, south-carolina, south-dakota, tennessee, texas, united-states, usgs-57867943e4b0e02680c14fec, utah, vermont, virginia, washington, west-virginia, wildfire, wildland-fire, wisconsin, wyoming
Organization: Department of the Interior
Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990

The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered and transformed to binary or ASCII formats using proprietary software. This USGS data release includes the original binary and ASCII data files and derivative EDI files (Wight, 1988), a common modern format for magnetotelluric modelling, created using Python-based software developed by the DaR team.

(Wight, D.E., 1988, MT/EMAP Data Interchange Standard, Technical standards committee report, Society of Exploration Geophysicists, isbn=9780931830617, http://www.seg.org/documents/10161/77915/seg_mt_emap_1987.pdf.)

Tags: california, edi, electrical-data-interchange, electromagnetic-surveying, faulting-geologic, fresno-county, geophysics, geoscientificinformation, legacy-data, magnetotelluric-sounding, magnetotelluric-surveying, map-service, monterey-county, ogc-wfs-layer, ogc-wms-layer, ogc-wms-service, parkfield, san-andreas-fault, san-andreas-fault-system, searchable-product-depository, spud, united-states, usgs-57857fdce4b0e02680bfda27
Organization: Department of the Interior
Extra limit counts for southern sea otter 2016

The GIS shapefile "Extra limit counts of southern sea otters 2016" is a point layer representing the locations of sea otter sightings that fall outside the officially recognized range of the southern sea otter (Enhydra lutris nereis) in mainland California. These data were collected during the spring 2016 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band of potential habitat stretching along the coast of California, and bounded to the north and south by range limits defined as "the points farthest from the range center at which 5 or more otters are counted within a 10km contiguous stretch of coastline (as measured along the 10m bathymetric contour) during the two most recent spring censuses, or at which these same criteria were met in the previous year". However, a few individual sea otters (almost always males) can frequently be found outside this officially recognized range, and these "extra-limital" animals are also counted during the census.

Tags: aerial-counts, california, central-california-coast, coast, distribution, range, sea-otter-census, sea-otters, shore-counts, southern-california-coast, usgs-57a3508ae4b006cb45567cec
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Percent NLCD 2011 in 50 Meter Riparian Buffer

This tabular data set represents the percent of NLCD 2011 land cover classes in the 50 meter riparian buffer zones compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database 2011" produced by the United States Geological Survey (Homer and others, 2011). Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

Tags: 50-meter-riparian-buffer, catchment, inlandwaters, nawqa, nhdplus, nlcd-2011, sparrow, usgs-57855ddee4b0e02680bf37bf
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: Level 3 EcoRegions (North American Designations)

This tabular data set represents the percent of United States Environmental protection Agency's (U.S. EPA) Level 3 Regions compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data is the "Level III and IV Ecoregions of the Continental United States" produced by the U.S. EPA (2013). Units are percent. The level 3 ecoregions are an 85-class classification scheme of areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources (EPA, 2013). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

Tags: catchment, ecoregions, epa, inlandwaters, level-3, nhdplus, usgs-5785595ce4b0e02680bf2fd8
Organization: Department of the Interior
WLCI - Important Agricultural Lands Assessment (Input Raster: Land Parcels within 800 m. of a Guzzler)

The cells in this raster represent binary values (0 or 1) indicating whether a given pixel is within 800 meters of a known guzzler (1) or not (0). Guzzlers catch and store water from snow and rain which is then available to wildlife throughout the year. 
This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Tags: aquatic-habitat, energy-development, environment, geoscientificinformation, ia, landscape-scale-conservation, southwest-wyoming, sw-wyoming, terrestrial-habitat, united-states, usa, usgs-5785220be4b0e02680bf1e73, wlci, wlci-integrated-assessment, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
WLCI - Important Agricultural Lands Assessment (Input Raster: Normalized Mule Deer Damage Claims)

The values in this raster are unit-less scores ranging from 0 to 1 that represent normalized dollars per acre damage claims from mule deer on Wyoming lands.
This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Tags: aquatic-habitat, energy-development, environment, geoscientificinformation, ia, landscape-scale-conservation, southwest-wyoming, sw-wyoming, terrestrial-habitat, united-states, usa, usgs-5785025ee4b0e02680bf1dc5, wlci, wlci-integrated-assessment, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
WLCI - Important Agricultural Lands Assessment (Input Raster: Normalized Elk Damage Claims)

The values in this raster are unit-less scores ranging from 0 to 1 that represent normalized dollars per acre damage claims from elk on Wyoming lands.
This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Tags: aquatic-habitat, energy-development, environment, geoscientificinformation, ia, landscape-scale-conservation, southwest-wyoming, sw-wyoming, terrestrial-habitat, united-states, usa, usgs-5785005ee4b0e02680bf1dba, wlci, wlci-integrated-assessment, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
WLCI - Important Agricultural Lands Assessment (Input Raster: Normalized Antelope Damage Claims)

The values in this raster are unit-less scores ranging from 0 to 1 that represent normalized dollars per acre damage claims from antelope on Wyoming lands.
This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Tags: aquatic-habitat, energy-development, environment, geoscientificinformation, ia, landscape-scale-conservation, southwest-wyoming, sw-wyoming, terrestrial-habitat, united-states, usa, usgs-5784fe01e4b0e02680bf1db2, wlci, wlci-integrated-assessment, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Groundwater-Quality Data in the Tulare Shallow Aquifer Study Unit, 2014-2015_Tables

The U.S. Geological Survey collected groundwater samples from 95 domestic wells in Tulare and Kings Counties, California in 2014-2015. The wells were sampled for the Tulare Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic drinking water supply. Domestic wells commonly are screened at shallower depths than are public-supply wells. The Tulare Shallow Aquifer Study Unit includes the Kaweah, Tule, and Tulare Lake subbasins of the San Joaquin Valley groundwater basin and adjacent areas of the Sierra Nevada. The study unit was divided into equal area grid cells and one domestic well was sampled in each cell. Groundwater samples were analyzed for field water-quality parameters, volatile organic compounds, pesticides and pesticide degradates, nutrients, major ions and trace elements, gross alpha and gross beta particle activities, noble gases, tritium, carbon-14 in dissolved inorganic carbon, stable isotopic ratios of water and dissolved nitrate, and microbial indicators.

Tags: california, environment, gama, groundwater, groundwater-ambient-monitoring-and-assessment-program, kings-county, southern-san-joaquin-valley, tulare-county, tule-county, united-states, usgs-57800995e4b0ef4d2f4690d5, water-quality, western-united-states
Organization: Department of the Interior