AndreaBozzo/ceres-open-data-index huggingface dataset:
Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from Weather Research and Forecasting (WRF) dynamical downscaled historical (1985-2005) and projected (2040-60) climate

This data release consists of four network Common Data Form (netCDF) files of bias-corrected daily precipitation at 1-kilometer (km) scale for historical and projected climate of Puerto Rico. The Weather Research and Forecasting (WRF) model was used by Bowden and others (2018) to downscale two general circulation models (GCMs) from the Coupled Model Intercomparison Project phase 5 (CMIP5): (1) the Community Climate System Model (CCSM4 or CESM), and (2) the Centre National de Recherches Meteorologiques-CERFACS (CNRM). The two models were dynamically downscaled using WRF for a historical (1985-2005) time slice and a future time slice (2040–60) under the high greenhouse gas emission scenario known as Representative Concentration Pathway 8.5 (RCP8.5). Total hourly precipitation data (convective plus non-convective) at 2-km resolution for the innnermost domain in Bowden and others (2018; their domain 3) was aggregated to a daily timestep and then bias-corrected using Multiplicative Quantile Delta Mapping (MQDM; Cannon and others, 2015) with Daymet v4 as the observational gridded precipitation dataset (Thornton and others, 2020). The bias-corrected daily precipitation data was interpolated to the 1-km grid of the Puerto Rico water and energy balance model (GOES-PRWEB; Harmsen and others, 2021) which uses solar radiation from the GOES satellite.  
References: 
Bowden, J., Wootten, A., Terando, A., and Boyles, R., 2018, Weather Research and Forecasting (WRF): Puerto Rico and US Virgin Islands Dynamical Downscaled Climate Change Projections: U.S. Geological Survey data release, https://doi.org/10.5066/F7GB23BW.  
Cannon, A.J., Sobie, S.R., and Murdock, T.Q., 2015, Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes?: Journal of Climate, v. 28, no. 17, , p. 6938–6959, https://doi.org/10.1175/JCLI-D-14-00754.1.   
Harmsen, E.W., Mecikalski, J.R., Reventos, V.J., Álvarez Pérez, E., Uwakweh, S.S., and Adorno García, C., 2021, Water and energy balance model GOES-PRWEB: Development and validation: Hydrology v. 8, no. 113, https://doi.org/10.3390/hydrology8030113.   
Thornton, M.M., Shrestha, R., Wei, Y., Thornton, P.E., Kao, S., and Wilson, B.E., 2020, Daymet: Daily surface weather data on a 1-km grid for North America, version 4: ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1840.

Tags: climatologymeteorologyatmosphere, precipitation, precipitation-atmospheric, puerto-rico, rainfall, usgs-62ea6b14d34e749ac04d3e4d
Organization: Department of the Interior
CE-QUAL-W2 water-quality model and data for Berlin Lake, Lake Milton, Michael J Kirwan Reservoir, Mosquito Creek Lake, and the Mahoning River, Ohio

The U.S. Army Corps of Engineers is considering changing the operations of Berlin Lake, Lake Milton, Michael J Kirwan Reservoir, and Mosquito Creek Lake. The lakes in this study are all reservoirs, formed by dams. These models were constructed to simulate those operations and document possible water-quality effects in the lakes, the lake outflows, and the Mahoning River downstream of the lakes.  This data release includes U.S. Army Corps of Engineers water-quality data and the input and output files from the mechanistic water-quality models (CE-QUAL-W2).

Tags: berlin-lake, dam, environment, lake-milton, mahoning-river, michael-j-kirwan-reservoir, modeling, mosquito-creek-lake, ohio, surface-water-non-marine, usgs-62ea8a5ed34e749ac04d3e9b, utilitiescommunication, water-temperature
Organization: Department of the Interior
Water use information for sites sampled by the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP), 2004-2021 (ver. 4.0, April 2025)

The U.S. Geological Survey collected water-quality samples from 3,359 sites between May 2004 and November 2024 for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP). The GAMA-PBP is a cooperative project with the California State Water Resources Control Board (SWRCB). The primary objectives of the GAMA-PBP are: (1) to assess the quality of groundwater resources used for public and domestic drinking water supplies, (2) to develop understanding of the natural and anthropogenic processes controlling groundwater quality and changes in groundwater quality, and (3) to improve the availability and usefulness of groundwater quality information to public. This data release publishes site type information and a generalized use category for the sites. The dataset comprises 3,213 wells, 81 springs, and 65 other types of sites. The generalized use category is partially derived from, but is not equivalent to, the use of site and use of water fields from the USGS National Water Information System (NWIS) data archive. Of the 3,063 wells and springs from which water is withdrawn for use, 1,696 are classified as production (includes sites used for public, commercial, industrial, institutional, and desalination water supplies), 1,123 as domestic, 263 as irrigation, and 16 as other water supply uses. Of the remaining sites, 229 are classified as observation wells, 6 are wells and springs from which water is withdrawn and not used, 63 are distribution system taps, and 4 are other types of sites. GAMA-PBP data are also served to the public through the SWRCB's GAMA Groundwater Information System (GAMAGIS), along with data from other federal, state, and local agency sources, and the generalized use categories in this data release are compatible with the use categories in SWRCB GAMAGIS. Prior to publication of this data release, SWRCB GAMAGIS classified all GAMA-PBP sites as "municipal", which resulted in erroneous characterization of approximately half of the sites. The generalized classification provided in this data release greatly improves the accuracy of site characterization, while still complying with Federal policies concerning release of location information for some types of sites.
Version 1.0 posted September 29, 2021
Version 2.0 posted September 2, 2022
Version 3.0 posted October 25, 2023
Version 4.0 posted April, 2025

Tags: geoscientificinformation, groundwater, usgs-62eabad1d34eacf53971d201, water-use
Organization: Department of the Interior
County-level maps of cropland surface water inundation measured from Landsat and MODIS

This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR).  Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards, and young perennial crops. Surface water maps were produced using the Dynamic Surface Water Extent (DSWE) model, in which satellite image pixels are classified into different levels of detection confidence. Our analysis focused on calculating the monthly occurrence of “high confidence” water from each satellite collection across eight cropland types and 58 counties.  
The resulting tabular data have been joined to a county GIS shapefile covering the state of California. The file includes attributes summarizing each crop contained within the county boundaries along with a summary of how much cropland intersects past locations of cropland inundation, the relative percentage of cropland inundated, and the frequency of crop inundation. These summaries were generated using both the Landsat and MODIS water inundation maps, and are presented separately in the data release.

Tags: agricultural-sites, agriculture, controlled-flooding, farming, floods, hazard-preparedness, image-collections, imagerybasemapsearthcover, irrigation, landsat, modis, multispectral-imaging, usgs-62eac25bd34eacf53971d214
Organization: Department of the Interior
Streamflow Drought Metrics for Selected United States Geological Survey Streamgages from 1981-2020

This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages for the climate years (April 1 – March 31) 1981 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) in the conterminous United States (CONUS). These metrics include streamflow percentiles, identified drought events, annual low streamflow, and drought statistics for each event.

Tags: biota, conus, datasets, drought, hydrology, streamflow, usgs-62f475abd34eacf5397395e8
Organization: Department of the Interior
Digital database of the previously published Geologic map of the Limon quadrangle, Colorado and Kansas

This digital data release contains geospatial geologic and paleontological data of the 1° x2 °, 1:250,000 Limon quadrangle covering eastern Colorado and western Kansas. The dataset is a digital reproduction of previously published U.S. Geological Survey field mapping which illustrates the spatial configuration of primarily Quaternary surficial units overlying upper Miocene, Oligocene, Paleocene, and Upper Cretaceous bedrock (Sharps, 1980). This quadrangle contains numerous outcrop of the Ogallala Formation, which is a prolific freshwater aquifer throughout the broader great plains. A structure contour map of the top of the Dakota Sandstone are included, which was constructed using selected oil and gas well logs (Sharps, 1980). The Dakota Sandstone is a productive hydrocarbon reservoir within the Limon quadrangle, and the broader Denver-Julesburg Basin. Point data for Mesozoic invertebrate fossil collection localities are depicted on the map, depicted with either Denver or Washington D.C. U.S. Geological Survey catalog numbers (Sharps, 1980).
The digital geologic database presented here is an accurate replication of original US. Geological Survey mapping in the Limon quadrangle (Sharps, 1980). Geologic map polygons, fossil points, faunal zones, and structure contours were digitized and attributed as GIS data sets as part of the U.S. Geological Survey’s ongoing studies on a regional and national scale.
The geologic map polygons, fossil point features, faunal zone lines, and structure contour lines are distributed as separate feature classes within a geographic information system geodatabase. Contoured elevation values are given in feet, to maintain consistency with the original publication, and in meters. Nonspatial tables define the data sources used, define terms used in the dataset, and describe the geologic units. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables.

Tags: bedrock-geologic-units, colorado, cretaceous, dakota-sandstone, denver-basin-aquifer-system, geologic-contacts, geologic-maps, geologic-structure, high-plains-aquifer, holocene, kansas, limon, miocene, ogallala-formation, paleocene, pierre-shale, pleistocene, quaternary, structure-contours, surficial-geologic-units, usgs-62ebd4dfd34eacf539724c47, utilitiescommunication
Organization: Department of the Interior
Flood-frequency data for six selected streamgages following the central New York flood of October 31 – November 3, 2019

This U.S. Geological Survey (USGS) data release contains batch formatted annual peak streamflow data (PkFlows_AllSites.txt) through the 2020 water year for six selected USGS streamgages (01321000, 01342797, 01343060, 01346000, 01347000, and 01348000) that recorded the flood of October 31 – November 3, 2019, which severely affected the Mohawk Valley and southern Adirondack region in central New York State. This data release also contains batch formatted specification (PkFlows_AllSites.psf) and output (PEAKFLOWS_ALLSITES.PRT) files from log-Pearson type III (LPIII) flood-frequency analysis of the annual peak streamflow data in version 7.4 of the USGS PeakFQ software (Flynn and others, 2006), which implements the Bulletin 17C (England and others, 2018) methodology for determining flood flow frequency. A comma separated values file (FloodFrequencyEstimates.csv) with estimates of flood magnitudes for selected annual exceedance probabilities from three different types of flood-frequency analysis (LPIII, regional regression equations, and weighted LPIII) is also included. 
The basins of the selected streamgages include the Sacandaga River basin (located within the upper Hudson River basin), and the East and West Canada Creek basins (located within the Mohawk River basin). Annual peak streamflow data were obtained from the USGS National Water Information System (U.S. Geological Survey, 2016). Considerations that informed the PeakFQ specifications for all six streamgages (including the effect of regulation, differences in station and regional skew, and other considerations) are discussed in Graziano and others (2024). Regional regression equation estimates were obtained for the locations of the four streamgages where streamflow is unregulated (01321000, 01342797, 01343060, and 01348000) using the StreamStats web application (U.S. Geological Survey, 2019), which presently utilizes equations in Lumia and others (2006). Weighted LPIII estimates (for the same four streamgages where streamflow is unregulated) were computed by weighting the (at-site) LPIII estimates with the regional regression equation estimates (Lumia and others (2006), equation 3). The weighted LPIII estimates are considered the most accurate of the three types of flood-frequency estimates. For this analysis, stationarity in the annual peak streamflow records was assumed after visual inspection of the records indicated no clear trends.

Tags: east-canada-creek, floods, hydrology, mohawk-river, new-york, sacandaga-river, streamflow, usgs-62ebdf6bd34eacf539724c9d, water-resources, west-canada-creek
Organization: Department of the Interior
Tables and associated data for effects of impoundments on selected flood-frequency and daily mean streamflow characteristics in Georgia, South Carolina, and North Carolina

The U.S. Geological Survey (USGS) has a long history of working cooperatively with the South Carolina Department of Transportation to develop methods for estimating the magnitude and frequency of floods for rural and urban basins that have minimal to no regulation or tidal influence. As part of those previous investigations, flood-frequency estimates have been generated at selected regulated streamgages. This is the data release for the report which assesses the effects of impoundments on flood-frequency characteristics by comparing annual exceedance probability (AEP) streamflows from pre- and post-regulated (before and after impoundment) periods at 18 USGS long-term streamgages, which is defined as a streamgage with 30 or more years of record, in Georgia, South Carolina, and North Carolina. For an assessment of how differences in such statistics can be influenced by period of record and hydrologic conditions captured in those records, which could be considered as natural variability, AEP streamflows at an additional 18 long-term USGS streamgages that represent unregulated conditions in those three states were computed and compared for the first and last half of those records.
This data release contains the tables and software input and output files from the report Effects of impoundments on selected flood-frequency and daily mean streamflow characteristics in Georgia, South Carolina, and North Carolina (Feaster and Musser, 2023). These tables contain information about the streamgages used in the analysis. The tables are contained in the zip file Impoundments_tables.zip, which includes 8 tab-delimited txt files, and a formatted Excel file of all the tables used in the publication. Two additional files, PeakFQ_files.zip and WREG-Archive.zip include input and output files from the analysis.

Tags: basin, climatologymeteorologyatmosphere, ecology, flood, flood-frequency, floods, geography, georgia, geoscientificinformation, hazard-preparedness, hydrology, inlandwaters, natural-resources, north-carolina, south-carolina, streamflow, streamgage, surface-water, united-states, usgs-62ebe46ed34eacf539724cbe, virginia
Organization: Department of the Interior
Dust and sediment data from Great Salt Lake and the Wasatch Front, Utah, 2018-19

These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from the Salt Lake Valley, Utah between 2018 and 2019. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to examine contributions of dust from the dry lakebed of Great Salt Lake, other regional playas, and anthropogenic sources to passive dust samplers deployed throughout the rapidly growing cities at the foot of the central Wasatch Mountains, referred to as the Wasatch Front. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to better understand the spatial variability of dust deposition to the Wasatch Front.

Tags: atmospheric-deposition-chemical-amp-particulate, chemical-analysis, contamination-and-pollution, dust-storms, great-salt-lake, salt-lake-city, usgs-62ebed2ad34eacf539724ce2, utah
Organization: Department of the Interior
A quantitative survey of freshwater mussels of the Buffalo National River, Arkansas from 2019 to 2021

Results from a quantitative survey of mussel assemblages from 12 long-term monitoring sites over 153 river kilometers of the Buffalo National River 2019-2021.

Tags: aquatic-biology, arkansas, biota, buffalo-national-river, ecology, freshwater-ecosystems, freshwater-mussels, harrison, usgs-62f4f373d34eacf53973a834
Organization: Department of the Interior
Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Community Climate System Model (CESM) for the historical period 1985-2005

Bias-corrected daily precipitation at 1-kilometer (km) scale is provided for Puerto Rico. The Weather Research and Forecasting (WRF) model was used by Bowden and others (2018) to dynamically downscale the Community Climate System Model (CCSM4 or CESM) model for the historical period 1985-2005. Total hourly precipitation data (convective plus non-convective) for the innnermost domain in Bowden and others (2018; their domain 3) was aggregated to a daily timestep and then bias-corrected using Multiplicative Quantile Delta Mapping (MQDM; Cannon and others, 2015) with Daymet v4 as the observational gridded precipitation dataset (Thornton and others, 2020). The bias-corrected daily precipitation data is provided on the 1-km grid of the Puerto Rico water and energy balance model (GOES-PRWEB; Harmsen and others, 2021). 
File can be read in R using the RNetCDF package as follows: 
nc=open.nc("BC_rainfall_data_CESM_1985-2005_GOESPRWEB_grid.nc")  
lat=var.get.nc(nc,"lat")  
lon=var.get.nc(nc,"lon")  
times=var.get.nc(nc,"time")  
prcp=var.get.nc(nc,"prcp")  
To convert the times to POSIXlt in the local time zone for Puerto Rico (America/St_Thomas = AST), use:
timechar=as.POSIXlt(times*3600,tz="America/St_Thomas",origin="1970-01-01")

Tags: climatologymeteorologyatmosphere, precipitation, precipitation-atmospheric, puerto-rico, rainfall, usgs-62ebf7c0d34eacf539724d39
Organization: Department of the Interior
Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Community Climate System Model (CESM) for the future projection period 2040-60

Bias-corrected daily precipitation at 1-kilometer (km) scale is provided for Puerto Rico. The Weather Research and Forecasting (WRF) model was used by Bowden and others (2018) to dynamically downscale the Community Climate System Model (CCSM4 or CESM) model for the future projection period 2040–60. Total hourly precipitation data (convective plus non-convective) for the innnermost domain in Bowden and others (2018; their domain 3) was aggregated to a daily timestep and then bias-corrected using Multiplicative Quantile Delta Mapping (MQDM; Cannon and others, 2015) with Daymet v4 as the observational gridded precipitation dataset (Thornton and others, 2020). The bias-corrected daily precipitation data is provided on the 1-km grid of the Puerto Rico water and energy balance model (GOES-PRWEB; Harmsen and others, 2021). 
File can be read in R using the RNetCDF package as follows: 
nc=open.nc("BC_rainfall_data_CESM_2040-2060_GOESPRWEB_grid.nc")  
lat=var.get.nc(nc,"lat")  
lon=var.get.nc(nc,"lon")  
times=var.get.nc(nc,"time")  
prcp=var.get.nc(nc,"prcp")  
To convert the times to POSIXlt in the local time zone for Puerto Rico (America/St_Thomas = AST), use:
timechar=as.POSIXlt(times*3600,tz="America/St_Thomas",origin="1970-01-01")

Tags: climatologymeteorologyatmosphere, precipitation, precipitation-atmospheric, puerto-rico, rainfall, usgs-62ebfad9d34eacf539724d53
Organization: Department of the Interior
Polyacrylamide gel electrophoresis results with thiaminase activity stain of recombinant putative thiaminases expressed in E. coli

Data describe results of a set of laboratory experiments using polyacrylamide gel electrophoresis with a thiaminase activity stain to test the solubility and thiaminase activity of recombinant putative thiaminases expressed in E. coli. Parameters described include the presence and relative mobility of thiaminases, and the presence and relative mobility of recombinant proteins. Experiments were conducted at the USGS Columbia Environmental Research Center, Columbia, MO in 2012 and 2013.

Tags: alewife, biota, fish, polyacrylamide-gel-electrophoresis, thiaminase, thiamine-deficiency-complex-tdc, usgs-62ebfb24d34eacf539724d5e, zebrafish
Organization: Department of the Interior
Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the historical period 1985-2005

Bias-corrected daily precipitation at 1-kilometer (km) scale is provided for Puerto Rico. The Weather Research and Forecasting (WRF) model was used by Bowden and others (2018) to dynamically downscale the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the historical period 1985-2005. Total hourly precipitation data (convective plus non-convective) for the innnermost domain in Bowden and others (2018; their domain 3) was aggregated to a daily timestep and then bias-corrected using Multiplicative Quantile Delta Mapping (MQDM; Cannon and others, 2015) with Daymet v4 as the observational gridded precipitation dataset (Thornton and others, 2020). The bias-corrected daily precipitation data is provided on the 1-km grid of the Puerto Rico water and energy balance model (GOES-PRWEB; Harmsen and others, 2021). 
File can be read in R using the RNetCDF package as follows: 
nc=open.nc("BC_rainfall_data_CNRM_1985-2005_GOESPRWEB_grid.nc")  
lat=var.get.nc(nc,"lat")  
lon=var.get.nc(nc,"lon")  
times=var.get.nc(nc,"time")  
prcp=var.get.nc(nc,"prcp")  
To convert the times to POSIXlt in the local time zone for Puerto Rico (America/St_Thomas = AST), use:
timechar=as.POSIXlt(times*3600,tz="America/St_Thomas",origin="1970-01-01")

Tags: climatologymeteorologyatmosphere, precipitation, precipitation-atmospheric, puerto-rico, rainfall, usgs-62ec03d8d34eacf539724d9c
Organization: Department of the Interior