AndreaBozzo/ceres-open-data-index huggingface dataset:
Stream definition raster for Puerto Rico StreamStats

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the stream definition rasters with a 150,000 stream cell threshold at a 10-m resolution. The flow accumulation grid is used as input to create the stream grid. This requires a flow accumulation of 150,000 pixels or greater to initiate a stream channel. A value of 1 is assigned for all of the cells equal or greater than the threshold and no data for all other cells. Data are partitioned into four TIFF files, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

Tags: environment, geoscientificinformation, geospatial-datasets, hydrology, land-surface-characteristics, puerto-rico, streamflow, topography, u-s-possessions-and-associated-areas, usgs-5d714ba7e4b0c4f70cfde4ae, watershed-management
Organization: Department of the Interior
Sink point rasters for Puerto Rico StreamStats

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the sink point grid rasters at a 10-m resolution, which are raster representations of the sink points. The value of 1 is assigned to pixels that are sinks. Data are partitioned into three TIFF files, for three of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010004, and 21010005. A sink point grid raster was not generated for HUC 21010003 because sinks were not present in this HUC area.

Tags: environment, geoscientificinformation, geospatial-datasets, hydrology, land-surface-characteristics, puerto-rico, streamflow, topography, u-s-possessions-and-associated-areas, usgs-5d714b60e4b0c4f70cfde275, watershed-management
Organization: Department of the Interior
Sink link rasters for Puerto Rico StreamStats

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the sink link rasters at a 10-m resolution. The Pre-HydroDEM tool creates the sink link raster and assigns a unique numeric value to areas with deranged drainage patterns (areas with sinks). Data are partitioned into three TIFF files, for three of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010004, and 21010005. A sink link raster was not generated for HUC 21010003 because sinks were not present in this HUC area.

Tags: environment, geoscientificinformation, geospatial-datasets, hydrology, land-surface-characteristics, puerto-rico, streamflow, topography, u-s-possessions-and-associated-areas, usgs-5d714b4ce4b0c4f70cfde1cc, watershed-management
Organization: Department of the Interior
Reported and inventoried crop and irrigated acreage in Pasco County, Florida, 1982-2019

A table summarizing the irrigated acreage by crop type and irrigation system was compiled for January to December 2019 for Pasco County, Florida. The irrigated acreage totals were derived from analyses of aerial imagery and data were field verified in 2019. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.

Tags: crop-type, environment, farming, florida, florida-department-of-agriculture-and-consumer-service, groundwater, inlandwaters, irrigation-type, land-use, land-use-classification-codes, orthoimagery, pasco-county, southwest-florida-water-management-district, surface-water, usgs-5d7a5478e4b0c4f70d02a1ba
Organization: Department of the Interior
Flow direction rasters for Puerto Rico StreamStats

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the flow direction rasters at a 10-m resolution, which indicates the direction in which water is predicted to flow out of a given pixel (8 compass directions or 0 if sink). Data are partitioned into four TIFF files, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

Tags: environment, geoscientificinformation, geospatial-datasets, hydrology, puerto-rico, streamflow, topography, u-s-possessions-and-associated-areas, usgs-5d714b20e4b0c4f70cfde0f0, watershed-management
Organization: Department of the Interior
Catchment rasters for Puerto Rico StreamStats

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are watershed catchment rasters at a 10-m resolution. The catchment raster assigns a number to each pixel that is unique for each catchment and corresponds to the value of the stream segment that drains that area. Data are partitioned into four TIFF files, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

Tags: environment, geoscientificinformation, geospatial-datasets, hydrology, land-surface-characteristics, puerto-rico, streamflow, topography, u-s-possessions-and-associated-areas, usgs-5d714700e4b0c4f70cfdc8e6, watershed-management
Organization: Department of the Interior
Basin slope rasters for Puerto Rico StreamStats

The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein is a raster of slope values based on 10-meter resolution DEM.  Data are partitioned into four TIFF files, one for each of the four 8-digit Hydrologic Unit Code (HUC) areas for Puerto Rico: 21010002, 21010003, 21010004, and 21010005.

Tags: digital-elevation-models, environment, geoscientificinformation, geospatial-datasets, land-surface-characteristics, puerto-rico, topography, u-s-possessions-and-associated-areas, usgs-5d7146ebe4b0c4f70cfdc8e3
Organization: Department of the Interior
Topographic and Sediment Size Data from Fountain Creek between Colorado Springs and the Confluence with the Arkansas River, Colorado, 2019

In 2012, the U.S. Geological Survey (USGS) in cooperation with Colorado Springs Utilities selected 10 study areas along Fountain Creek between Colorado Springs, Colorado and the confluence of Fountain Creek with the Arkansas River for annual geomorphic monitoring. The purpose of this data release is to present topographic survey data, rasters , and sediment size data collected in 2019 as part of that monitoring effort. Topographic survey points were collected using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS). These point data were interpolated in ArcGIS to generate digital elevation maps (2015 and 2019) and elevation-change maps (from 2015 to 2019) at each study area . 
In 2019, two types of Unmanned Aerial Survey (UAS) datasets were also collected and processed at one of the study areas (study area three): (1) a UAS Light Detection and Ranging (LiDAR) point cloud collected using the Yellowscan Surveyor payload (Velodyne VLP16 puck and Applanix Inertial Measurement Unit [IMU]) flown at 150 feet (ft) above ground level using the DJI Matrice 600 UAS aircraft, and (2) a photogrammetric survey taken with the Sony a6000 camera at 200 ft above ground level with the DJI Matrice 600 UAS aircraft, which produced an ortho image, a point cloud, and raster surface model (DSM). The USGS is investigating the use of UAS for traditional river surveys of topography. Traditionally, ground-surveying procedures are required to get the level of accuracy and data needed for the annual reporting. The use of UAS could have substantial  time and cost savings to supplement the procedures currently used to complete the monitoring. 
In addition to topographic surveys, pebble-count data were collected in the Spring of 2019 to characterize the size of streambed sediment. Pebble-count surveys included four measurements of grain size at each of 25 equally spaced sampling stations along four separate cross sections  across the active channel of each study area. Annual topographic and sediment size data are used to asses geomorphic changes at each study area.

Tags: channel-change, colorado, colorado-springs, el-paso-county, flood, fountain, fountain-creek, geomorphology, inlandwaters, lidar, pebble-count, point-cloud, pueblo, pueblo-county, sediment-transport, topographic-survey, uas, usgs-5d7138c7e4b0c4f70cfd6fea
Organization: Department of the Interior
Record quality tables for the Mineral Resources Data System

The tables in this data release provide measures of quality for each of 304,643 records in the Mineral Resources Data System (MRDS) database, located at https://mrdata.usgs.gov/mrds/ describing mineral resources worldwide but focusing on those located in the United States.  One table provides the measures of quality, the other provides the overall record scores that may be used to sort records by overall quality.
MRDS is distributed from USGS in several different formats for the convenience of a variety of different users.  For example a flattened version of the database is available in which the one-to-many relationships in MRDS are suppressed by combining them into a single field, resulting in a subset of the data that can be viewed, albeit confusingly, in a spreadsheet.  The underlying database is relational with about 35 linked tables.  That was the source used in this analysis.
The measures of quality were obtained from an analysis of the fully relational form of MRDS, in which each record of MRDS is represented by many rows of a variety of tables in the database.  The tables of the fully relational form of MRDS are described in detail at https://mrdata.usgs.gov/mrds/full/about.php.
MRDS records describe individual mineral resources.  This analysis is intended to separate records that describe those resources well and are trustworthy from those that lack fundamental information or cannot be verified easily.
The results of the analysis assign to each MRDS record a grade from A to E, where A records are judged the most informative and reliable and E records the least informative and reliable.
Code used to carry out the analysis is included to help users understand the procedure used.

Tags: economic-geology, geoscientificinformation, improvement-of-scientific-data-usability, metadata-development, mine-sites, mineral-resources, scientific-software, usgs-5d712a5ae4b0c4f70cfd4e54
Organization: Department of the Interior
Sample collection metadata for the FK190612 expedition along the Cascadia margin in June 2019

These are metadata related to the collection of samples on the FK190612 research expedition in the north Pacific Ocean along the Cascadia margin in June 2019. Samples were collected to examine characteristics of methane emissions from seafloor seeps at the edge of hydrate stability and the associated communities.

Tags: astoria-canyon, biota, cascadia-margin, coquille, ecology, gas-hydrate-resources, grays-canyon, heceta, nehalem, pacific, seep, usgs-5d6fe692e4b0c4f70cf97963
Organization: Department of the Interior
Shapefile of surface-water discharge measurements overlying the South Coast aquifer, Santa Isabel area, Puerto Rico, March – April, 2014

These data contain instantaneous streamflow measurements at 15 locations in streams and irrigation canals used in construction of the potentiometric map of the South Coast aquifer in the Santa Isabel area of southern Puerto Rico during March 31 to April 17, 2014.

Tags: potentiometric-map, puerto-rico, santa-isabel, stream-discharge, usgs-5d6fe122e4b0c4f70cf97935
Organization: Department of the Interior
Shapefile of ponds overlying the South Coast aquifer, Santa Isabel area, Puerto Rico, March – April, 2014

These data contain locations of 11 irrigation ponds used in construction of the potentiometric map of the South Coast aquifer in the Santa Isabel area of southern Puerto Rico during March 31 to April 17, 2014.santa

Tags: potentiometric-map, puerto-rico, santa-isabel, usgs-5d6fdfc2e4b0c4f70cf97925
Organization: Department of the Interior
Shapefile of discrete water-level measurements in the South Coast aquifer, Santa Isabel area, Puerto Rico, March – April, 2014

These data contain groundwater level measurements at 55 locations, used in construction of the potentiometric map of the South Coast aquifer in the Santa Isabel area of southern Puerto Rico during March 31 to April 17, 2014. Measured values of the potentiometric surface ranged from -22.8 feet to 185.4 feet above mean sea level.

Tags: groundwater-level, potentiometric-map, puerto-rico, santa-isabel, usgs-5d6fd516e4b0c4f70cf97609
Organization: Department of the Interior
Global Positioning System Survey data from 2015, Coachella Valley, Riverside County, California

Data collection: GPS measurements were taken at 24 geodetic monuments during September 27-October 2, 2015. The GPS surveys generally followed established guidelines (Zilkoski and others, 1997), except that the data were processed with single-baseline, rather than multi-baseline, software. GPS measurements were recorded at the monuments on at least 2 different days during 1-hour observation periods. Of the 24 geodetic monuments, 7 were network control stations—DUNE, COCH, DEEP, CAHU, PAIN, C101, and G70; GPS measurements were recorded at these seven stations on 3 additional days during 6.5-hour (or longer) observation periods.
Data results: Determining the ellipsoid heights of the 24 geodetic monuments in the network involved 2 phases of least-squares adjustments. During the first phase of least-squares adjustments, horizontal coordinates and ellipsoid heights of the seven Coachella Valley network control monuments were determined by processing the GPS measurements taken at these monuments with simultaneous measurements at three continuous Global Positioning System (CGPS) stations (DHLG, PIN1, and WIDC) and by using precise satellite orbital data and accurate coordinates of the CGPS stations provided by the International GPS Service (IGS) and Scripps Orbit and Permanent Array Center (SOPAC), respectively. During the second phase of least-squares adjustments, the 7 network control monuments were fixed at the positions determined during the first phase, and the horizontal coordinates and ellipsoid heights for the other 17 monuments were calculated. The expected uncertainty of the ellipsoid heights was ±20 mm (±0.07 ft) at the 95-percent confidence level, which was determined using the maximum ellipsoid-height difference computed from 95 percent of the repeatedly observed baselines used in the adjustment. Software used for the baseline and least-squares adjustment computations for the 2015 survey was Trimble Business Center 2.81.
Zilkoski, D.B., D’Onofrio, J.D., and Frakes, S.J., 1997, Guidelines for establishing GPS-derived ellipsoid heights, (Standards: 2 cm and 5 cm) version 4.3: Silver Spring, Md., National Geodetic Survey, 10 p., 3 appendices.

Tags: california, coachella-valley, gps-measurement, riverside-county, subsidence, usgs-5d6ec829e4b0c4f70cf63759
Organization: Department of the Interior
Anticoagulant rodenticide exposure in Barred Owls (Strix varia) collected in Washington and Oregon 2015-2017

This dataset includes anticoagulant rodenticide (AR) screening results of 40 Barred Owls (Strix varia) collected in forested landscapes of Washington and Oregon from 2015-2017. Liver tissue was collected from each owl and screened for exposure to eight  AR compounds, including 4 first-generation ARs (warfarin, diphacinone, chlorophacinone, and coumachlor), and 4 second-generation ARs (brodifacoum, bromadionlone, difethialone, and difenacoum). Additionally, this dataset includes geographic, temporal, environmental, and biological attributes of individual owls that were identified as potential sources of variation in AR exposure and/or useful measurements for assessing AR exposure risk of sympatric northern spotted owls (S. occidentalis caurina). Lethal removal and scientific collection of barred owls was approved by the Institutional Animal Care and Use Committee at Oregon State University (Protocols 4728, 5067), and completed under Federal Fish and Wildlife Permit MB14305B-0 and Washington (HENSON 18-261) and Oregon (MB14305B-5) State Scientific Collection Permits.

Tags: anticoagulant-rodenticide, barred-owl, biota, birds, brodifacoum, bromadiolone, chlorophacinone, coumachlor, difenacoum, difethialone, diphacinone, ecotoxicology, forest-ecosystems, northern-spotted-owl, oregon, pacific-northwest, rodenticide, usgs-5d6eaea5e4b0c4f70cf636a1, warfarin, washington
Organization: Department of the Interior
SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southeastern United States, 2012 Base Year

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load estimates. This USGS data release includes input and output files associated with 2012 SPARROW simulations of streamflow, total nitrogen, total phosphorus and suspended-sediment load in streams of the Southeast region. Model construction, calibration and results are described in Hoos and Roland (2019, https://doi.org/10.3133/sir20195135).

Tags: alabama, florida, georgia, mississippi, north-carolina, nutrient-loads, south-carolina, spatial-analysis, spatially-referenced-regression-on-watershed-attributes-sparrow, statistical-analysis, streamflow, surface-water-quality, suspended-sediment-loads, tennessee, usgs-5d6e70e5e4b0c4f70cf635a1, virginia
Organization: Department of the Interior
Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi Embayment

Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to be included as explanatory variables. The ML approach integrated output from a groundwater-flow model and water-quality data to predict salinity, and the approach can be applied to other aquifers to provide context for the long-term availability of groundwater resources.
The Mississippi embayment includes two principal regional aquifer systems; the surficial aquifer system, dominated by the Quaternary Mississippi River Valley Alluvial aquifer (MRVA), and the Mississippi embayment aquifer system, which includes deeper Tertiary aquifers and confining units. Based on the distribution of groundwater use for drinking water, the modeling focused on the MRVA, middle Claiborne aquifer (MCAQ), and lower Claiborne aquifer (LCAQ). Boosted regression tree (BRT) models (Elith and others, 2008; Kuhn and Johnson, 2013) were developed to predict SC and Cl to 1-kilometer (km) raster grid cells of the National Hydrologic Grid (Clark and others, 2018) for 7 aquifer layers (1 MRVA, 4 MCAQ, 2 LCAQ) following the hydrogeologic framework of Hart and others (2008). TDS maps were created using the correlation between SC and TDS. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as soils and land use), and variables extracted from a MODFLOW groundwater flow model for the Mississippi embayment (Haugh and others, 2020a; Haugh and others, 2020b). Prediction intervals were calculated for SC and Cl by bootstrapping raster-cell predictions following methods from Ransom and others (2017). For a full description of modeling workflow and final model selection see Knierim and others (2020).

Tags: alabama, aquifer, arkansas, boosted-regression-tree, groundwater, groundwater-quality, illinois, kentucky, louisiana, machine-learning, mathematical-modeling, mississippi, tennessee, usgs-5d6e6bcae4b0c4f70cf63597
Organization: Department of the Interior