AndreaBozzo/ceres-open-data-index huggingface dataset:
Estimation Site 03105927; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba55105e4b08583a5c9d577, washington-county-pa
Organization: Department of the Interior
Estimation Site 03081800; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba5507de4b08583a5c9d56c, washington-county-pa
Organization: Department of the Interior
Highway-Runoff Database Version 1.0.0b

The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey, in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation’s receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents. The dataset was compiled from 37 studies as documented in 113 scientific or technical reports. The dataset includes data from 242 highway sites across the country. It includes data from 6,837 storm events with dates ranging from April 1975 to November 2017.  Therefore, these data span more than 40 years; vehicle emissions and background sources of highway-runoff constituents have changed markedly during this time. For example, some of the early data is affected by use of leaded gasoline, phosphorus-based detergents, and industrial atmospheric deposition. The dataset includes 106,441 concentration values with data for 414 different water-quality constituents. This dataset was assembled from various sources and the original data was collected and analyzed by using various protocols. Where possible the USGS worked with State departments of transportation and the original researchers to obtain, document, and verify the data that was included in the HRDB. However, inclusion in this dataset does not constitute endorsement by the USGS or the FHWA. People who use this data are responsible for ensuring that the data are complete and correct and that it is suitable for their intended purposes.

Tags: database, highway-runoff, runoff, stochastic-empirical-loading-and-dilution-model, stormwater, usgs-5ba54b65e4b08583a5c9d524
Organization: Department of the Interior
Measurement Schedule Regressions

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".   Data were selected for the development of eleven regressions on three streamgage pairs to examine differences in the regression diagnostics and prediction interval based upon the data chosen for the regression.  This dataset includes 1) data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage, 2) zero streamflow information, and 3) evaluation of the prediction interval with non-runoff influenced data.  For prediction interval development a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported and the 95% prediction interval developed for the nonparametric method.  The data set used for regression development contains zero streamflow data observed at the estimation site.  From this data, the highest streamflow at the index streamgage where zero flow occurred at the estimation site (HISAZ) is recorded.  For each evaluation, the same dataset is chosen, and it is not influenced by runoff.  Determination of whether data falls within the prediction interval and the computation of the Nash-Sutcliffe Efficiency value is accomplished for this evaluation dataset.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba54685e4b08583a5c9d4f7, washington-county-pa
Organization: Department of the Interior
Point-Source Nutrient Loads to Streams of the Conterminous United States, 2012

The U.S. Geological Survey (USGS) developed a spatial water-quality model called SPAtially Referenced Regressions On Watershed attributes (SPARROW) to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in the Nation’s streams. The SPARROW model relates in-stream water-quality data to spatially referenced characteristics of watersheds, including contaminant sources and factors influencing terrestrial and aquatic transport. Based on SPARROW modeling, one of the main nutrient sources to streams is point-source facilities such as municipal waste-water treatment plants that discharge directly to streams. This dataset was developed to assist with SPARROW models developed to assess supply, transport and fate of total nitrogen and phosphorous in streams of the conterminous United States (2012). This dataset documents discharge information from point sources in the conterminous United States and was obtained from the EPA Integrated Compliance Information System (ICIS) and Permit Compliance System (PCS). When available, nutrient concentrations were used to calculate point source loads. However, in many cases measured concentration data were not available in the ICIS or PCS data base and so “typical pollutant concentrations” (TPC’s) were developed using data from similar facilities. A new method for calculating TPC’s was implemented that allows varying amounts of nutrient concentration data and/or varying numbers of facilities to determine TPC’s. This dataset contains the EPA facility, flow, and concentration data and all updates to the data, along with the TPC tables and resultant total nitrogen and phosphorous loads calculated from the input datasets.

Tags: alabama, aquaculture, arizona, arkansas, california, colorado, connecticut, contamination-and-pollution, delaware, district-of-columbia, environment, florida, georgia, idaho, illinois, improvement-of-scientific-data-usability, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, national-hydrography-dataset, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, nutrient-content, ohio, oklahoma, oregon, pennsylvania, rhode-island, south-carolina, south-dakota, spatially-referenced-regressions-on-watershed-attributes-sparrow, tennessee, texas, usgs-5ba54362e4b08583a5c9d4e5, utah, utilitiescommunication, vermont, virginia, washington, waste-treatment-and-disposal, wastewater-discharge, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Forest community biomass and growth in Great Dismal Swamp, Virginia and North Carolina, USA

Forest surveys were conducted in nine 20 m x 25 m study plots, split into 3 representatives each for three forest types in Great Dismal Swamp, VA and NC, USA, December 2015 - February 2018. Trees, saplings, and shrubs were identified to species and measured for estimates of standing stocks. Standing stock data include: tree diameter at breast height (dbh), height, and condition; sapling dbh; shrub diameter at root collar, and height. In each plot, roughly 10 co-dominant trees were equipped with dendrometer bands and measured annually for growth estimates.

Tags: biota, carbon-cycling, forest-ecosystems, forest-sequestration, peatland, usgs-5ba5427fe4b08583a5c9d4df
Organization: Department of the Interior
Runoff Influence Analysis

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".   Data were selected for the development of 12 regressions to examine the differences between prediction intervals when runoff-influenced data were included in the data selection and when it was not.  This dataset includes 1) data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage, 2) zero streamflow information, and 3) evaluation of the prediction interval with non-runoff influenced data.  For prediction interval development a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported and the 95% prediction interval developed for the nonparametric method.  The data set used for regression development contains zero streamflow data observed at the estimation site.  From this data, the highest streamflow at the index streamgage where zero flow occurred at the estimation site (HISAZ) is recorded.  For each evaluation, the same dataset is chosen, and it is not influenced by runoff.  Determination of whether data falls within the prediction interval and the computation of the Nash-Sutcliffe Efficiency value is accomplished for this evaluation dataset.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba539fde4b08583a5c9d467, washington-county-pa
Organization: Department of the Interior
Estimation Site 03072890; Spreadsheets and Metadata

Streamflow was collected at various streamgages in western Pennsylvania in support of the scientific investigations report "Estimation of Base Flow on Ungaged, Periodically Measured Streams in Small Watersheds in Western Pennsylvania".  Data observed at the streamgages for the period of August 1, 2014 through March 31, 2017 are considered.  This dataset includes 1) all data used to develop prediction intervals for the titled estimation site based upon the titled index streamgage for the period of May 1, 2015 to March 31, 2017 and 2) evaluation of data observed before May 1, 2015. For prediction interval development, a Move.1 regression was developed between the titled estimation site and titled index streamgage.  From this regression model, Pearson's correlation coefficient (r) is reported, and the Nash-Sutcliffe efficiency value is computed.  The prediction interval development is included for the 95% prediction interval for both the nonparametric and parametric methods.  For the parametric method, any prediction interval can be developed by changing Student's t critical value.  Any data that were observed before May 1, 2015 were evaluated to see if they fell within the 95% nonparametric prediction interval. The data chosen for the regression development and evaluation is streamflow that is not influenced by runoff.  Streamflow that occurred the day of precipitation and two days after is considered influenced by runoff and not included in the dataset.  Not all streamgages have the same period of record; dates where data were observed both at the titled index streamgage and estimation site are described below in the "Time Period of Data" section.

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba54fe4e4b08583a5c9d562, washington-county-pa
Organization: Department of the Interior
Chemical and isotopic data for a study of seasonality of nitrate sources and isotopic composition in the Upper Illinois River, 2004-2008

This data release contains chemical and isotopic data used in an investigation of nitrate sources and transport in the Upper Illinois River basin.   Samples (total = 445) include river water from the Upper Illinois River and its major tributaries plus urban wastewater and agricultural groundwater.  Data include concentrations of nitrate, chloride, and sulfate; isotope ratios of N and O in nitrate; and isotope ratios of H and O in water.

Tags: chloride-concentration, hydrogen-isotope-ratio, nitrate-concentration, nitrogen-isotope-ratio, oxygen-isotope-ratio, stream-flow, sulfate-concentration, surface-water-quality, usgs-5ba52dade4b08583a5c9d2d8
Organization: Department of the Interior
Audiomagnetotelluric data, Buffalo River watershed, Arkansas, 2017

This dataset includes the locations for audio-magnetotelluric (AMT) sounding data collected in August 2017 in the Buffalo River watershed of northern Arkansas by the U.S. Geological Survey (USGS). The sites were mostly alongside Osage Creek and its intermittent tributaries. Along with geologic mapping, the USGS used AMT data at 6 sites along a southwest-northeast profile of about 7 kilometers across the inferred northeastern margin of the Bear Creek uplift within the southern Ozark Dome to better constrain the buried, northeastern margin of the Bear Creek uplift.

Tags: amt, apparent-resistivity, arkansas, audiomagnetotelluric, bear-creek-uplift, boone-county, buffalo-river, economy, electric-field-earth, geology-geophysics-and-geochemistry-science-center, geophysics, gggsc, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetotelluric, magnetotelluric-surveying, mineral-resources-program, mrp, mt, newton-county, osage-creek, ozark-dome, sounding, tipper, usgs-5ba3d79ee4b08583a5c81d32
Organization: Department of the Interior
Multibeam backscatter data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA, using a dual-head Reson T20-P multibeam echosounder (8-bit GeoTIFF, UTM Zone 12N, WGS 84, 2 meter resolution)

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

Tags: antelope-canyon, backscatter, bor, bullfrog, bullfrog-bay, bureau-of-reclamation, cmgp, coastal-and-marine-geology-program, coconino-county, colorado-river, colorado-river-storage-project, crsp, dangling-rope, department-of-the-interior, doi, escalante-river, field-activity-number-2017-049-fa, friendship-bay, garfield-county, geology, geophysics, geoscientificinformation, geospatial-datasets, geotiff, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, good-hope-bay, great-bend, gunsight-bay, halls-bay, halls-crossing, hite, imagerybasemapsearthcover, inlandwaters, kane-county, lake-floor, lake-powell, lakebed-acoustic-reflectivity, lakebed-characteristics, lakefloor, last-chance-bay, multibeam-backscatter, multibeam-echosounder, multibeam-sonar, national-park-service, navajo-canyon, nps, padre-bay, page, r-v-stephens, rainbow-bridge-national-monument, rock-creek-bay, san-juan-county, san-juan-river, state-of-arizona, state-of-utah, t20-p, time-series, u-s-geological-survey, united-states-of-america, usgs, usgs-5ba3cc6de4b08583a5c81bbf, utah-water-science-center, uwsc, wahweap, wahweap-bay, warm-creek-bay, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Elevation of marsh units in Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia


    Elevation distribution in the Assateague Island National Seashore (ASIS) salt marsh complex and Chincoteague Bay is given in terms of mean elevation of conceptual marsh units defined by Defne and Ganju (2018). The elevation data is based on the 1-meter resolution Coastal National Elevation Database (CoNED). Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands, including the  Assateague Island National Seashore and Chincoteague Bay salt marshes, with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. 
    
    References:
    Defne, Z., and Ganju, N.K., 2018, Conceptual marsh units for Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P92ZW4D9.
   

Tags: accomack-county, assateague-island-national-seashore, assateague-state-park, atlantic-ocean, chincoteague-bay, chincoteague-island, coastal-ecosystems, coastal-processes, e-a-vaughn-wildlife-management-area, elevation, environment, estuary, geospatial-datasets, inlandwaters, long-term-ecological-research, lter, marsh-health, maryland, oceans, salt-marsh, united-states, usgs-5ba3cb40e4b08583a5c81b7b, vegetation, virginia, wallops-island, wetland-ecosystems, wetland-functions, worcester-county
Organization: Department of the Interior
Backscatter electron (BSE) and panchromatic cathodoluminescent (CL) imagery of sample materials for study of alteration systems, Butte, U.S.A.

Backscatter electron (BSE) and panchromatic cathodoluminescent (CL) imagery of minerals from samples dated by 40Ar/39Ar are for the study of the Butte mining district, U.S.A. Results of the study are described and interpreted in Lund and others (2018).These data are shared to meet open data requirements.

Tags: 40ar-39ar-geochronology, ag-polymetallic-lodes, alteration, backscatter-electron, bse, butte, cl, copper, cu-lodes, economic-geology, geochronology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, mineral-resources-program, molybdenum, montana, mrp, panchromatic-cathodoluminescent, quartz-porphyry-dikes, radiometric-dating, sensitive-high-resolution-ion-microprobe, shrimp, silver, u-pb-geochronology, united-states, usgs-5ba1df1be4b08583a5c4365f, zinc
Organization: Department of the Interior
Groundwater-level altitude contours, 1996, middle Humboldt River basin, north-central Nevada (U.S. Geological Survey Water-Resources Investigations Report 98-4209)

This data set consists of polylines representing groundwater-level altitude contours, 1996, for middle Humboldt River basin, north-central Nevada as published on plate 2, figure 4 in the U.S. Geological Survey Water-Resources Investigations Report 98-4209 titled "Hydrogeologic framework and ground-water levels, 1982 and 1996, middle Humboldt River basin, north-central Nevada," 1999. A subset of the contours were published as part of a larger data set representing water-table contours for Nevada (Buto and others, 2006).
References Cited
Buto, S.G., Evetts, D.M., Smith-Sager, S., 2006, Water-table contours of Nevada, accessed May 16, 2018 at URL https://water.usgs.gov/lookup/getspatial?sir2006-5100_wanv_l.

Tags: antelope-valley, boulder-flat, carico-lake-valley, crescent-valley, elko-county, eureka-county, great-basin, groundwater, groundwater-level, humboldt-county, humboldt-river-region, inlandwaters, kelly-creek-area, lander-county, lower-reese-river-valley, middle-humboldt-river-basin, middle-reese-river-valley, nevada, nye-county, pershing-county, pine-valley, pumpernickel-valley, rock-creek-valley, upper-reese-river-valley, usgs-5ba180f5e4b08583a5c42e8b, whirlwind-valley, willow-creek-valley
Organization: Department of the Interior