AndreaBozzo/ceres-open-data-index huggingface dataset:
Model archive summary for turbidity derived suspended-sediment concentration at USGS station 01357500 Mohawk River at Cohoes, New York

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River at Cohoes, New York (U.S. Geological Survey station number 01357500).  The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009).  The model is composed of two ordinary least squares linear regression equations covering low and high turbidity.  The low turbidity equation is based on forty-one concurrent measurements of SSC and turbidity collected from October 1, 2016, through August 28, 2020; the high turbidity equaiton is based on thirty-six concurrent measurements collected over the same period.  Samples were collected across 90 percent of the range of observed discharge and turbidity.  The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively.  Both models were developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

Tags: datasets, inlandwaters, mathematical-modeling, mohawk-river, new-york-state, real-time-monitoring-and-reporting, regression-analysis, schenectady-county, sediment-transport, suspended-material-water, time-series-datasets, usgs-6398a71bd34e0de3a1f0d6d6, water-quality
Organization: Department of the Interior
Supply of and demand for water purification of nonpoint source pollutants in the Southeast United States - 2022 Updates (version 2.0, February 2023)

Natural land cover can remove pollutants from runoff water by slowing water flow and physically trapping suspended particles.  We identified natural land cover in the Southeast US potentially contributing to water purification due to its location in the flowpath between sources of nonpoint-source pollution and waterways. Version 2.0 provides an update to the previous version with the inclusion of data from 2013, 2016, and 2019.

Tags: alabama, arkansas, contamination-and-pollution, florida, freshwater-ecosystems, georgia, louisiana, mississippi, missouri, natural-resource-management, north-carolina, runoff, south-carolina, tennessee, usgs-6398a4d6d34e0de3a1f0d694, water-resources
Organization: Department of the Interior
Model archive summary for turbidity derived suspended-sediment concentration at USGS station 01351500 Schoharie Creek at Burtonsville, New York

This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Schoharie Creek at Burtonsville, New York (U.S. Geological Survey station number 01351500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Sixty-one concurrent measurements of SSC and turbidity, collected from October 1, 2015, through May 2, 2020, were used in the model calibration dataset. Samples were collected across 75 percent of the range in observed discharge and 87 percent of the range in observed turbidity during the model calibration period. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Suspended-sediment concentrations were estimated from an ordinary least squares regression between SSC and turbidity developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).

Tags: datasets, inlandwaters, mathematical-modeling, new-york-state, real-time-monitoring-and-reporting, regression-analysis, schenectady-county, schoharie-creek, sediment-transport, suspended-material-water, time-series-datasets, usgs-6398a3e5d34e0de3a1f0d68d, water-quality, water-sampling
Organization: Department of the Interior
Recreational birding in the Southeast United States  - 2022 Updates (version 2.0, February 2023)

Total recreational birding activity (by state and year) estimated by the National Survey for Fishing, Hunting, and WIldlife-Associated Recreation was spatially distributed using birding observations reported through the eBird citizen science database and summarized by land cover type for each analysis year (2001, 2006, 2011, and 2016). Version 2.0 provides an update to the previous version with the inclusion of data from 2016.

Tags: alabama, arkansas, birds, ecosystems, florida, georgia, louisiana, mississippi, missouri, north-carolina, recreation, south-carolina, tennessee, usgs-63989a4cd34e0de3a1f0d62f
Organization: Department of the Interior
Seepage-run discharge measurements, October 27, 2021, Waikoloa Stream, Hawai'i

This data release contains a comma-delimited ascii file of eleven same-day, discrete discharge measurements made at sites along selected reaches of Waikoloa Stream, Keanu'i'omanō Stream, and Wai'ula'ula Gulch, Hawai'i on October 27, 2021. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions (or, in some cases, were made simultaneously during transient flow conditions) and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.

Tags: hawaii, hydrologic-datasets, hydrology, inlandwaters, kamuela, keanuioman-stream, river-reaches, state-of-hawaii, stream-gage-measurement, streamflow, surface-water-non-marine, usgs-6397f2b1d34e0de3a1f0d15e, waikoloa-stream, waimea, waiulaula-gulch, water-resources
Organization: Department of the Interior
Seepage-run discharge measurements, August 25, 2022, Honokōhau Stream, Maui, Hawai'i

This data release contains a comma-delimited ascii file of twenty same-day, discrete discharge measurements made at sites along selected reaches of Honokōhau Stream, Maui, Hawai'i on August 25, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions (or, in some cases, were made simultaneously during transient flow conditions) and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.

Tags: honokhau-stream, hydrologic-datasets, hydrology, inlandwaters, maui, river-reaches, state-of-hawaii, stream-gage-measurement, streamflow, surface-water-non-marine, usgs-6397ec26d34e0de3a1f0d14c, water-resources
Organization: Department of the Interior
Stream temperature data for sites in the Potomac River headwaters during 2022

This Data Release contains stream temperature data for 12 sites within the headwaters of the Potomac River basin. Data were collected between June 1-August 31, 2022 (92 days) at 30-minute increments. We collected data using Onset ProV2 gages in perforated PVC cases mounted to stream substrates with rebar. This work was funded by the USGS Priority Ecosystem Science program for the Chesapeake Bay.

Tags: biota, stream, usgs-6397a917d34e0de3a1f0660e, water-temperature
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds: 30 year (1981 - 2010) annual average duration of consecutive dry and wet days for the Conterminous United States and District of Columbia

This tabular data describes the annual average duration of consecutive wet and dry events during the 30-year period 1981 – 2010 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. A wet event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter.  A dry event is defined as a period when the number of consecutive days with precipitation equals 0 millimeters. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year (1981-2010) annual average duration of consecutive wet and dry events was a 1-kilometer resolution GeoTIFF file that was produced and acquired from DAYMET (2018). 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: consecutive-dry-days, consecutive-wet-days, conterminous-united-states, daymet, duration-of-events, inlandwaters, nhdplus-version-2-1, precipitation, usgs-63978f0ad34e0de3a1f065d1
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds: 30 year (1981 - 2010) annual average duration of consecutive dry and wet days for the Conterminous United States and District of Columbia

This tabular data describes the annual average duration of consecutive wet and dry events during the 30-year period 1981 – 2010 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. A wet event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter.  A dry event is defined as a period when the number of consecutive days with precipitation equals 0 millimeters. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for 30 year (1981-2010) annual average duration of consecutive wet and dry events was a 1-kilometer resolution GeoTIFF file that was produced and acquired from DAYMET (2018). 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: consecutive-dry-days, consecutive-wet-days, conterminous-united-states, daymet, duration-of-events, inlandwaters, nhdplus-version-2-1, precipitation, usgs-63978c55d34e0de3a1f065c3
Organization: Department of the Interior
Daily reference and potential evapotranspiration, and supporting meteorological data from the Weather Research and Forecasting (WRF) model, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Southeastern United States, 2021

Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 1-kilometer spatial resolution and daily time-step from January 1, 2021 to December 31, 2021 for Florida, Alabama, Georgia, South Carolina, and parts of Mississippi, North Carolina, and Tennessee. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, mean actual and saturation vapor pressure, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data, blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product, and meteorological data were simulated using a high-resolution Weather Research and Forecasting (WRF) model. Actual and saturation vapor pressure are calculated from the WRF-simulated 2-meter air temperature ("T2") and water vapor mixing ratio ("Q2") output variables. PET and ETo estimates were bias corrected using evapotranspiration computed from meteorological data at 122 weather stations in Florida and Georgia. Open-source tools for managing the NetCDF files in this data release can be found at https://code.usgs.gov/jbellino/florida-goes-et.

Tags: evapotranspiration, north-florida-water-management-district, potential-evapotranspiration, reference-evapotranspiration, solar-radiation, south-florida-water-management-district, southwest-florida-water-management-district, st-johns-river-water-management-district, state-of-florida, suwannee-river-water-management-district, usgs-63977c75d34e0de3a1f06559, water-budget
Organization: Department of the Interior
Daily reference and potential evapotranspiration, and supporting meteorological data from weather stations, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Florida, 2021

Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial resolution and daily time-step from January 1, 2021 to December 31, 2021 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product; and interpolated meteorological data were obtained from weather stations maintained by the Florida Automated Weather Network (FAWN), the South Florida Water Management District (SFWMD), and the National Oceanic and Atmospheric Administration (NOAA). Open-source tools for managing the NetCDF files in this data release can be found at https://code.usgs.gov/jbellino/florida-goes-et.

Tags: evapotranspiration, north-florida-water-management-district, potential-evapotranspiration, reference-evapotranspiration, solar-radiation, south-florida-water-management-district, southwest-florida-water-management-district, st-johns-river-water-management-district, state-of-florida, suwannee-river-water-management-district, usgs-63977b1dd34e0de3a1f06546, water-budget
Organization: Department of the Interior
Thresholded abundance models for three invasive plant species in the United States

We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2]. We selected background samples using the target background approach, and took an alternative approach to construct model ensembles by combining first percentile and ten percentile threshold rules (suitability values associated with the lowest one percent and lowest ten percent of the training data) to categorize the continuous output from each algorithm into low (below the one percentile), moderate (between the one and ten percentile), and high (above the ten percentile) suitability. Finally, we summed these to create an ensemble. This data bundle contains the merged data sets used to create the models, the composite raster files for each abundance threshold associated with each species, tabular summaries by management unit (including each species/ composite type combination), and the occurrence points with their associated cover. The spatial data are organized in a separate folder for each species, each containing 5 rasters describing potential habitat suitability for the species at the different abundance thresholds. Each of the rasters represent the composite map (composite_abundX.tif) for each abundance threshold.
The bundle documentation files are:
1) 'thresholded_abundance_project_metdata.xml' (this file) which contains the project-level metadata
2) 'mergedDataset.csv' contains the merged data set used to create the models, including location and associated environmental data, for all three species for each thresholded abundance.
3) XX.tif where XX is the raster type explained above (abundance threshold).
4) managementSummary.csv is the tabular summaries by management unit.

Tags: biota, contiguous-united-states, habitat-suitability, invasive, sahm, species-distribution-modeling, united-states, usgs-63975a27d34e0de3a1f0645e, vistrails
Organization: Department of the Interior
Data to Estimate Water Use Associated with Oil and Gas Development within the Bureau of Land Management Carlsbad Field Office Area, New Mexico

The purpose of this data release is to provide data in support of the Bureau of Land Management's (BLM) Reasonably Foreseeable Development (RFD) Scenario by estimating water-use associated with oil and gas extraction methods within the BLM Carlsbad Field Office (CFO) planning area, located in Eddy and Lea Counties as well as part of Chaves County, New Mexico. Three comma separated value files and two python scripts are included in this data release. It was determined that all reported oil and gas wells within Chaves County from the FracFocus and New Mexico Oil Conservation Division (NM OCD) databases were outside of the CFO administration area and were excluded from well_records.csv and modeled_estimates.csv. Data from Chaves County are included in the produced_water.csv file to be consistent with the BLM’s water support document. Data were synthesized into comma separated values which include, produced_water.csv (volume) from NM OCD, well_records.csv (including location and completion) from NM OCD and FracFocus, and modeled_estimates.csv (using FracFocus as well as Ball and others (2020) as input data). The results from modeled_estimates.csv were obtained using a previously published regression model (McShane and McDowell, 2021) to estimate water use associated with unconventional oil and gas activities in the Permian Basin (Valder and others, 2021) for the period of interest (2010-2021). Additionally, python scripts to process, clean, and categorize FracFocus data are provided in this data release.

Tags: chaves-county, eddy-county, geoscientificinformation, lea-county, new-mexico, usgs-6393b2ecd34e0de3a1efe27e
Organization: Department of the Interior
Plant cover, climate, grazing disturbance, and soil class data from 1991-2020 compiled from remotely sensed data on two retired grazing allotments in Capitol Reef National Park, Utah, USA

These data were compiled for use by researchers and land managers in studies of post-grazing change in Capitol Reef National Park. The data were initially used for and are associated with the McNellis et al., 2023 (see Larger Work Citation). Objective(s) of our study were to study landscape change (specifically plant cover measured through remote sensing) through time in Capitol Reef National Park. These data represent land cover and eight explanatory covariates measured through remote sensing over 21-30 years on two grazing allotments in Capitol Reef National Park, USA. These data were compiled and created for Capitol Reef National Park, Utah, USA from December 2020 to December 2022. These data were created by the U.S. Geological Survey – Southwest Biological Science Center using remotely-sensed data and statistical analysis. These data can be used to study landscape change through time in Capitol Reef National Park. Caution (and appropriate statistical methodology) should be used due to the high degree of spatial and temporal autocorrelation present within this dataset. Some measures (e.g. the counterfactual estimate, “CE”) should be used in accordance with limitations described by previous literature.

Tags: air-temperature, allotment-retirement, atmospheric-and-climatic-processes, biota, capitol-reef-national-monument, climate, climatologymeteorologyatmosphere, colorado-plateau, cost-distance, data-release, edaphic, environment, fractional-snow-cover, geoscientificinformation, grazing-allotments, grazing-intensity, habitat-alteration-and-disturbance, land-cover-change, land-management, land-use-and-land-cover, livestock-grazing, livestock-removal, location, post-grazing-landscape, precipitation-atmospheric, snow-and-ice-cover, soil-geomorphic-unit, soil-resources, south-central-utah, spatiotemporal-extents, topography, usgs-639367a4d34e0de3a1efe122, utah
Organization: Department of the Interior
Experimental Development of ROD Disease

These data contain the results of ʻōhiʻa seedlings challenged with different ambrosia beetle (Coleoptera: Curculionidae) species that were exposed to either Ceratocystis lukuohia or Ceratocystis huliohia in culture. Disease development, viability, and DNA confirmation data were recorded.

Tags: ambrosia-beetle, biota, ceratocystis, invasive-species, rapid-ohia-death, usgs-6392ab55d34e0de3a1efd15d
Organization: Department of the Interior
Beetle Visitation to Healthy ʻŌhiʻa Trees Experiment 2

These data contain the documentation of ambrosia beetle (Coleoptera: Curculionidae) attack on healthy ʻōhiʻa trees. Beetles were collected on sticky cards.

Tags: ambrosia-beetle, biota, ceratocystis, invasive-species, rapid-ohia-death, usgs-6392aabad34e0de3a1efd15a
Organization: Department of the Interior
Supply of and demand for wild pollinator habitat in the Southeast United States - 2022 Updates (version 2.0, February 2023)

Wild insect pollination has significant positive effects on pollinator-dependent crop production.  To assess the spatial distribution of potential wild insect pollination, we mapped the supply of potential wild pollinator habitat (forest, grassland, wetland, and shrubland land cover types) and the demand for pollination (directly pollinator-dependent crops).  A foraging travel distance for temperate native bees (1308 meters) was used to identify wild pollinator habitat that is within foraging range of pollinator-dependent crops, and pollinator-dependent crops that are within foraging range of pollinator habitat. Version 2.0 provides an update to the previous version with the inclusion of data from 2013, 2016, and 2019.

Tags: agricultural-sites, alabama, arkansas, environment, farming, florida, georgia, habitats, louisiana, mississippi, missouri, natural-resource-management, north-carolina, pollination, pollinators, remediation, south-carolina, tennessee, usgs-6391fa78d34e0de3a1efcfc5
Organization: Department of the Interior