AndreaBozzo/ceres-open-data-index huggingface dataset:
Wisconsin Lake Temperature Metrics Increasing Clarity

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.
This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

Tags: 007, 012, climate-change, environment, hydrodynamic-model, inlandwaters, lakes, limnology, united-states, us, usgs-5747345ae4b07e28b663d81e, water-clarity, water-quality, water-temperature, wi, wisconsin
Organization: Department of the Interior
Wisconsin Lake Temperature Metrics Decreasing Clarity

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.
This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

Tags: 007, 012, climate-change, environment, hydrodynamic-model, inlandwaters, lakes, limnology, united-states, us, usgs-57473446e4b07e28b663d81a, water-clarity, water-quality, water-temperature, wi, wisconsin
Organization: Department of the Interior
Associated data for Surface-Water Supplies in the Triangle Area of North Carolina, Water Years 2012-13

These datasets contain information used to compile the report (USGS OFR 2016-1137).  It contains water-quality data, analytical results of field blanks, and analytical results for environmental and replicate sample sets for surface-water samples collected during water years 2012 and 2013 for the Triangle Area Water Supply Monitoring Program (TAWSMP).  The water-quality data contained in appendix 1 are field paramters and the analytical results for the constituents analyzed for the project.  Appendix 2 contains the results of the field blanks, and the results for the environmental and replicate sample sets are presented in appendix 3.

Tags: biological-data, chatham-county, durham-county, major-ions-data, north-carolina, nutrient-data, orange-county, surface-water, total-organic-carbon-data, unfiltered-metals-data, usgs-5745ffb2e4b07e28b662c705, wake-county, water-quality
Organization: Department of the Interior
The Geochemical Atlas of Alaska, 2016 - Geochem Data

A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological &amp; Geophysical Surveys geochemical databases. Various types of heterogeneity and deficiencies in these data presented major challenges to our development of coherently integrated datasets for modeling and mapping of element distributions. Researchers from many different organizations and disparate scientific studies collected samples that were analyzed using highly variable methods throughout a time period of more than 50 years, during which many changes in analytical techniques were developed and applied. Despite these challenges, the U.S. Geological Survey has produced a new systematically integrated compilation of sediment and soil geochemical data with an average sample site density of approximately 1 locality per 10 square kilometers (km2) for the entire State of Alaska, although density varies considerably among different areas. From that compilation, we have modeled and mapped the distributions of 68 elements, thus creating an updated geochemical atlas for the State.

Tags: alaska, chemical-analysis, data-integration, data-processing, data-series, datasets, economy, elements, geochemical-processes, geochemistry, geographic-information-systems, geology, geoscientific-information, grid, hydrologic-unit-code, maps-and-atlases, mathematical-modeling, north-america, raster, sediments, soils, united-states, usgs-5745c3a6e4b07e28b662c626
Organization: Department of the Interior
Irrigation water use in Kansas counties, 2014

This U.S. Geological Survey (USGS) Data Release provides derivative county-level statistics of water used by Kansas irrigators in 2014.  The published county-level application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average.   The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by county.  Other data published in this data release include the amount of water used, irrigated acres, and application rates by crop type and the amount of water used and number of irrigated acres for each irrigation method.  Total reported irrigation water use in 2014 was 3.3 million acre-feet of water applied to 3.0 million irrigated acres.

Tags: acres-irrigated, annual-precipitation, application-rate, crops, irrigation-water-use, usgs-57753802e4b07dd077c70846, water-consumption, water-right, water-use-reporting
Organization: Department of the Interior
USGS HYDRoacoustic dataset in support of the Surface Water Oceanographic Topography satellite mission (HYDRoSWOT)

HYDRoSWOT – HYDRoacoustic dataset in support of Surface Water Oceanographic Topography – is a data set that aggregates channel and flow data collected from the USGS streamgaging network and includes 200,000+ records of USGS acoustic Doppler current profiler (ADCP) discharge measurements. The data set includes a variety of fields including: mean depth, mean velocity, discharge, stage, water-surface width, maximum depth, maximum velocity, and streamgage metadata for more than 5,000 stations in the United States. The hydraulic and channel geometry data is stored in the USGS hydroacoustic Doppler current profiler tables reported in the SiteVisit field measurement database and polled from 45 individual National Water Information System (NWIS) hosts. The database tables were de-normalized into a single flat file intended for further study in various analytical software, such as a spreadsheet or data frame. Each station can possess multiple measurements, as indicated by the measurement number recorded in the q_meas_no field. An individual measurement may have multiple sub-measurements when flow occurs in multiple channels. The multiple channels are recorded in the q_meas_chan_nu field. This dataset only contains ADCP measurement data. In the event of a multiple channel measurement, where other methods were used to measure flow, only ADCP measurements will be represented.

Tags: channel-geometry-and-hydraulic-database, hydroacoustics, usgs-57435ae5e4b07e28b660af55
Organization: Department of the Interior
2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (H11251_2M_GEO, Geographic, WGS84)

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. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities in Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. During October 2008 NOAA completed hydrographic survey H11251 offshore of Rocky Point, New York and during November 2009, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretive data layers were derived from the multibeam echo-sounder and sidescan-sonar data and the ground-truth data used to verify them. For more information on the ground-truth survey see https://cmgds.marine.usgs.gov/fan_info.php?fan=2009-059-FA

Tags: arcraster-grid, atlantic-ocean, bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmgp, coastal-and-marine-geology-program, connecticut-department-of-environmental-protection, ct-dep, distributions, elevation, grid, h11251, long-island, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-echo-sounder, multibeam-sonar, national-oceanic-and-atmospheric-administration, new-york, noaa, noaa-ship-thomas-jefferson, noaa-survey-h11251, north-america, oceans, ofr-2010-1007, open-file-report-2010-1007, reson-7125, reson-8101, reson-8125, rocky-point, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-574316d7-0eed-43d4-85c0-6312506f8a57, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Crop Land Data Layer 2013

This tabular data set represents the percent of land cover classes from the 2013 Crop land Data Layer 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 "2014 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2015).  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: agriculture, catchment, cdl, crop-cover, crop-estimates, crop-land-data-layer, cropland, cropscape, inlandwaters, land-cover, nawqa, nhdplus, sparrow, usgs-574302c1e4b07e28b660ae4d
Organization: Department of the Interior
Nest Locations for the Kittlitz Murrelet

A compilation of all known nest records and locations to identify landscape-scale parameters (distance to coast, elevation, slope, and land cover) that provide potential nesting habitat in four regions: northern Alaska, Aleutian Islands, Alaska Peninsula Mountains and Kodiak Island, and Pacific Coastal Mountains (including nearshore interior Canada).

Tags: biota, environment, health, oceans, usgs-575b455be4b04f417c2752f0
Organization: Department of the Interior
Wells used in the creation of potentiometric surface contours for the Inyan Kara, Minnekahta, Minnelusa, Madison, and Deadwood Aquifers in the Black Hills Area, South Dakota

This dataset describes wells completed in the Minnelusa
Formation that were used to create a potentiometric surface
for the Minnellusa aquifer.

Tags: black-hills, environment, geoscientificinformation, ground-water, hydrology, inlandwaters, minnelusa-aquifer, minnelusa-formation, south-dakota, usgs-573fcf2c-b487-431e-98a9-396d4b184763, water-level, wells
Organization: Department of the Interior
Magnetotelluric sounding locations, stations 1 to 22, Southern San Luis Valley, Colorado, 2006

This dataset includes the locations of magnetotelluric (MT) stations collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's groundwater resources.

Tags: apparent-resistivity, colorado, costilla-county, electromagnetic-surveying, geographic-information-systems, geophysics, geoscientificinformation, geospatial-dataset, gis, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetic-surveying, magnetotelluric, mt, rocky-mountains, san-luis-valley, sounding, tipper, usgs-573f80d8e4b04a3a6a24af7e
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Crop Land Data Layer 2012

This tabular data set represents the percent of land cover classes from the 2012 Crop land Data Layer 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 "2012 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2015).  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: agriculture, catchment, cdl, crop-cover, crop-estimates, crop-land-data-layer, cropland, cropscape, inlandwaters, land-cover, nawqa, nhdplus, sparrow, usgs-573f7c20e4b04a3a6a24af72
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Crop Land Data Layer 2011

This tabular data set represents the percent of land cover classes from the 2011 Crop land Data Layer 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 "2011 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2012).  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: agriculture, catchment, cdl, crop-cover, crop-estimates, crop-land-data-layer, cropland, cropscape, inlandwaters, land-cover, nawqa, nhdplus, sparrow, usgs-573f2c4be4b04a3a6a24ae00
Organization: Department of the Interior
Missouri Breaks Project, Montana - Digitized aeromagnetic data

From February 12 to March 8, 1981, EG and G Geometrics conducted an aeromagnetic survey in Montana for Anaconda Copper Company. A Piper Navajo aircraft was used to conducted the survey. The survey was flown along north-south flightlines spaced 660 feet at a nominal height of 450 feet above the terrain. Five uniformly spaced east-west tie-lines were also flown. During processing, the International Geomagnetic Reference Field (IGRF) of 1975 was updated to 1981 and removed from the survey observations. The resultant anomalous magnetic field was contoured at a 4.0 gamma interval and plotted to map sheets. In 2016, the map sheets were scanned, registered, and the contours were digitized. The point data released here were extracted from the digitized contour lines and include: latitude, longitude, and magnetic-field value (gamma).

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, blaine-county, dodson-quadrangle, fergus-county, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, gis, havre-quadrangle, lewistown-quadrangle, little-rocky-mountains, magnetic, magnetic-field-earth, magnetic-surveys, montana, phillips-county, residual-magnetic-field, total-field, usgs-573cf012e4b0dae0d5e4b18d, zortman-quadrangle
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Percent of Irrigated Agriculture, 2012 MIrAD data

This tabular data set represents percent of irrigated agriculture, based on 2012 MODIS Irrigated Agricultural Data (MIrAD) data 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  percent of irrigated agriculture, 2012 MIrAD data was produced by the United States Geological Survey (USGS, 2015). 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: catchment, inlandwaters, nawqa, nhdplus, percent-of-irrigated-agriculture-2012-mirad-data, sparrow, usgs-573b78aee4b0dae0d5e3aeb7
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Percent of Irrigated Agriculture, 2007 MIrAD data

This tabular data set represents percent of irrigated agriculture, based on 2007 MODIS Irrigated Agricultural Data (MIrAD) data 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  percent of irrigated agriculture, 2007 MIrAD data was produced by the United States Geological Survey (USGS, 2015). 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: catchment, inlandwaters, nawqa, nhdplus, percent-of-irrigated-agriculture-2007-mirad-data, sparrow, usgs-573b7850e4b0dae0d5e3aeb0
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Estimated 30 Year, 1971-2000, Mean Annual Watershed Rainfall and Runoff factor ("R factor" of Universal Soil Loss Equation)

This data set represents the mean annual average for the Rainfall and Runoff factor ("R factor" of Universal Soil Loss Equation) for the period 1971-2000 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 were produced by the PRISM Group at Oregon State University. Units for the Rainfall and Runoff factor  are hundreds of foot-ton force-inch/acre-hour per year. 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, inlandwaters, nawqa, nhdplus, rainfall-runoff-factor, sparrow, usgs-573b6028e4b0dae0d5e3ae16
Organization: Department of the Interior