AndreaBozzo/ceres-open-data-index huggingface dataset:
BSYCHAB -- Habitat polygons for the Big Sycamore reserve area

Benthic habitat polygon coverages have been created for marine reserve locations surrounding the Santa Barbara Basin.  Diver, ROV and submersible video transects, bathymetry data, sedimentary samples, and sonar mapping, have been integrated to describe the geological, biological, and oceanographic aspects of habitat.  Big Sycamore reserve, is part of the Marine Ecological Reserves Research Program (MERRP).  The U.S. Geological Survey (USGS), in a cooperative project with Sea Grant-MERRP and investigators at National Marine Fisheries Service (NMFS), the Channel Islands National Marine Sanctuary (CINMS), and National Park Service (NPS) has collected sidescan sonar and video data to produce a polygon coverage.  The habitat polygons have attributes for megahabitat, bottom induration, macrohabitat (where macrohabitat observations are available), polygon area, polygon perimeter, and water depth.  The habitat GIS shows rocky habitat suitable for rockfish (Sebastes sp.), abalone (Haliotis sp.), and other threatened benthic species from the shoreline out to the 100-m depth limit of the survey.

Tags: benthic-habitat, big-sycamore-reserve, biota, ca, california, channel-islands, cmgp, coastal-and-marine-geology-program, coastal-geology, fisheries, geology, geoscientificinformation, geospatial-datasets, habitat, habitat-mapping, habitats, interpretive-data-layer, marine-geology, nearshore-benthic-mapping, north-pacific-ocean, northern-pacific-ocean, oceans, pacific-coastal-and-marine-science-center, pcmsc, point-dume, santa-barbara, santa-cruz-islands, sea-floor-characteristics, seafloor, southern-california, u-s-geological-survey, united-states, usa, usgs, usgs-62c1b230-a896-48a4-b955-0722c8f5e973, ventura, west-coast
Organization: Department of the Interior
Database of physically based distributed model applications for post-fire hydrologic response

This data release contains a database reviewing the state of the science for physically based distributed hydrologic model applications for post-fire hydrologic response. The database covers the globe and spans from the years 1998 through the calendar year 2021. The database is part of a larger state of the science review of post-fire hydrologic modeling that examines the scales and geographic/ecohydrologic distribution of model applications, hydrologic response process representation, model parameterization, and model performance metrics.

Tags: inlandwaters, usgs-62c46f83d34eeb1417bac8bf
Organization: Department of the Interior
Marine Observations of Longfin Smelt Spirinchus thaleichthys in the northeast Pacific Ocean

This dataset is a compilation of Longfin Smelt observations from multiple sources, including research institutions and museums, and local, state, and federal fisheries agencies.

Tags: biota, fish, fish-ecology, longfin-smelt, northeast-pacific, pacific-ocean, spirinchus-thaleichthys, usgs-62c4b5f6d34eeb1417bafa44
Organization: Department of the Interior
Ground-based gamma spectrometry data collected in northern Maine (Version 2.0, September 2022)

Radiometric (gamma spectrometry) measurements were made during walking surveys in northern Maine using a GF Instruments Gamma Surveyor. These surveys involved recording measurement averages over 30-second intervals while holding the instrument approximately 1 meter above the ground. Locations were obtained via a handheld GPS. Data were collected over and in the vicinity of a radiometric thorium anomaly identified via an airborne survey. For more information on radiometric methods, please see the International Atomic Energy Agency publication "Guidelines for Radioelement Mapping Using Gamma Ray Spectrometry Data" (2003). 
Reference: 
International Atomic Energy Agency, 2003, Guidelines for Radioelement Mapping Using Gamma Ray Spectrometry Data, IAEA-TECDOC-1363, IAEA, Vienna, 173 pp.

Tags: aroostook-county, biota, gamma-spectrometry, geology-geophysics-and-geochemistry-science-center, gggsc, maine, mineral-resources-program, mrp, potassium, radiometric, thorium, uranium, usgs-62c4c646d34eeb1417bafa56
Organization: Department of the Interior
Data and scripts used in water-quality trend analysis in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States, 1970-2020

This data release is in support of a comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States. The effort was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This data release contains all files necessary to run trend models and produce results published in U.S. Geological Scientific Investigations Report 2023-XXXX [Nustad, R.A., and Tatge, W.S., 2023, Comprehensive Water-Quality Trend Analysis for Selected Sites and Constituents in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States, 1970-2020: U.S. Geological Survey Scientific Investigations Report 2023-XXXX]. In addition, this data release contains data for reservoir and Canadian streamflow, and water-quality by group (MI = major ion and dissolved solids, NUT = nutrients, PHY = physical parameters) contained in comma separated values (csv) files (site_flow and country/province_data) for selected sites used in trend and spatial analysis of the Souris River Basin. Streamflow data for the selected United States sites were gathered from the National Water Information System (https://nwis.waterdata.usgs.gov/nwis). Water-quality data for the selected sites in the United States were gathered from the National Water Quality Monitoring Council Water Quality Portal (https://www.waterqualitydata.us/) and collected by two additional agencies; the North Dakota Department of Environmental Quality and the U.S. Geological Survey Dakota Water Science Center. For additional information see metadata file specific to each dataset.

Tags: geoscientificinformation, inlandwaters, manitoba, north-dakota, saskatchewan, souris-river-basin, usgs-62c4cb9ed34eeb1417bafa61, water-quality-trends
Organization: Department of the Interior
Streamflow data for selected Canadian and Reservoir sites in the Souris River Basin, 1970-2020

A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This child page contains seven csv files, site_flow, which contain daily streamflow values for each site. Each file includes a station identifier, date of observation, measured value of streamflow and qualifier code for the measured value. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R-QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R-QWTREND, files should be opened in a text editor. The "site" in site_flow can be cross-referenced to the main report by navigating to the file siteinfo.table.csv.

Tags: geoscientificinformation, inlandwaters, manitoba, north-dakota, saskatchewan, souris-river, streamflow, usgs-62c4ccbcd34eeb1417bafa6b, water-quality
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2020: Monthly loads (ver. 2.0, January 2023)

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The file containing monthly loads for all applicable NTN monitoring stations is provided in the "Attached Files" section.
First posted: July 25, 2022 (available from author)
Revised: January 2023 (version 2.0)

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-62c57dc8d34eeb1417bafd15, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2020: Average annual yields (ver. 2.0, January 2023)

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). Yields (representing the mass of constituent transported from a unit area of a given watershed) are used to compare the export loads from one basin to another. Yield results are obtained by dividing the annual load (pounds) of a given constituent by the respective watershed area (acres) from which the constituent was transported. Yield results presented represent the average annual per-acre loads of nitrogen, phosphorus, and suspended sediment exported from each of the NTN stations for two possible time periods: 2011-2020 (10 year average yield) and 2016-2020 (5 year average yield). The file containing 10- and 5-year average yields for all applicable NTN monitoring stations is provided in the "Attached Files" section.
First posted: July 25, 2022 (available from author)
Revised: January 2023 (version 2.0)

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-62c57e34d34eeb1417bafd19, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman, yields
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2020: Short- and long-term trends (ver. 2.0, January 2023)

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. To determine the trend in loads, the regular annual load (non-Kalman) results are flow normalized to integrate out the year-to-year variability in river discharge. The trend in load is derived from the flow-normalized load timeseries and represents the change in load resulting from changes in sources, delays associated with storage or transport of historical inputs, and (or) implemented management actions. The file containing long- and short-term trends for all applicable NTN monitoring stations is provided in the "Attached Files" section.
First posted: July 25, 2022 (available from author)
Revised: January 2023 (version 2.0)

Tags: chesapeake-bay-watershed, delaware, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-62c58b1bd34eeb1417bafd20, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2020: WRTDS input data (ver. 2.0, January 2023)

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season).  The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The files containing all inputs required to run WRTDS for all applicable NTN monitoring stations are provided in the "Attached Files" section.
First posted: July 25, 2022 (available from author)
Revised: January 2023 (version 2.0)

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-62c596f5d34eeb1417bafd26, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2020: WRTDS output data (ver. 2.0, January 2023)

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season).  The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The files containing all outputs generated by WRTDS for all applicable NTN monitoring stations are provided in the "Attached Files" section.
First posted: July 25, 2022 (available from author)
Revised: January 2023 (version 2.0)

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-62c5a1c6d34eeb1417bafd59, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2021

Observations of irrigated agricultural land within the Sacramento Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2021 on May 21st; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2021 and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, irrigation, mohave, sacramento-valley-groundwater-basin, usgs-62c5b083d34eeb1417bafd95, water-use
Organization: Department of the Interior
Evaluating Seawater Intrusion Forecast Uncertainty under Climate Change in Pajaro Valley, California: Model Archive

Climate change and climate variability impacts such as rising sea levels have the potential to exacerbate seawater intrusion and the strain on coastal freshwater resources in already stressed groundwater basins such as those in the Pajaro Valley groundwater basin, California.  The U.S. Geological Survey (USGS) developed the Pajaro Valley Hydrologic model (PVHM) to quantitatively assess aquifer-system responses to climatic variation, surface-water deliveries, and seawater intrusion.The PVHM historical model (1963-2018) was updated, extended, and re-calibrated using a combination of manual adjustments to parameters and an assisted parameter estimation PEST++ software (White et al., 2020) to minimize differences between simulated values and historical observations of streamflow, groundwater levels, and agricultural pumping.  Three future climate scenarios (2013-2100) were developed for the PVHM, using three climate projections from global general circulation models (GCMs) representing hot and dry conditions, average conditions, and cool and wet conditions.  The climate ensemble was used to conduct a first-order second moment uncertainty analysis of groundwater level and seawater intrusion forecasts using PEST++ software (White et al., 2020). Understanding the reliability and uncertainty of forecasts is important for developing climate adaptation strategies such as developing protective thresholds, particularly at the basin scale where the impacts are felt, and adaptation is implemented. This USGS data release contains all of the input and output files for the historical updated PVHM and the three future climate scenarios described in the associated journal article.

Tags: california, environment, farm-process, geoscientificinformation, groundwater, groundwater-model, inlandwaters, modflow-owhm, monterey-county, pajaro-valley, pest, saltwater-intrusion, santa-cruz-county, uncertainty, usgs-62c5c5b8d34eeb1417bafe03, usgsgroundwatermodel
Organization: Department of the Interior
Sentinel-1 and Sentinel-2 based frequency of open and vegetated water across the United States (2017-2021)

High-frequency observations of surface water at fine spatial scales are critical to effectively manage aquatic habitat, flood risk and water quality. We developed inundation algorithms for Sentinel-1 and Sentinel-2 across 12 sites within the conterminous United States (CONUS) covering &gt;536,000 km2 and representing diverse hydrologic and vegetation landscapes. These algorithms were trained on data from 13,412 points spread throughout the 12 sites. Each scene in the 5-year (2017-2021) time series was classified into open water, vegetated water, and non-water at 20 m resolution using variables not only from Sentinel-1 and Sentinel-2, but also variables derived from topographic and weather datasets. The Sentinel-1 model was developed distinct from the Sentinel-2 model to enable the two time series to be integrated into a single high-frequency time series, while open water and vegetated water were both mapped to retain mixed pixel inundation. Results were validated against 7,200 visually inspected points derived from WorldView and PlanetScope imagery. Classification accuracy for open water was high across the 5-year period, with an omission and commission error of only 3.1% and 0.9% for Sentinel-1 and 3.1% and 0.5% for Sentinel-2, respectively. Vegetated water accuracy was lower, as expected given that the class represents mixed pixels. Sentinel-2 showed higher accuracy (10.7% omission and 7.9% commission error) relative to Sentinel-1 (28.4% omission and 16.0% commission error). Our results demonstrated that Sentinel-1 and Sentinel-2 time series can be integrated to improve the temporal resolution when mapping open and vegetated waters, although sensor-specific differences, such as sensitivity to vegetation structure versus pixel color, complicate the data integration for subpixel, vegetated water compared with open water.

Tags: arizona, arkansas, california, climate, delaware, delmarva-peninsula, google-earth-engine, inundation-frequency, iowa, kansas, lakes, louisiana, maryland, minnesota, missouri, montana, north-dakota, prairie-pothole-region, python, south-carolina, south-dakota, streams, surface-water, texas, united-states, usgs-62c5c6ecd34eeb1417bafe09, wetlands
Organization: Department of the Interior
Sea level rise scenarios for the Cape Sable seaside sparrow

The endangered Cape Sable seaside sparrow (Ammospiza maritima mirabilis; CSSS) occurs in marl prairie habitat at the southern end of the Everglades, at the southernmost part of the Florida peninsula. The locations of three of its six subpopulations are proximate to the coast, putting them at risk for inundation caused by sea level rise (SLR). The spatially explicit predictive model EverSparrow provides probability of CSSS presence estimates based on hydrology, fire history, and vegetation. We developed two hydrologic scenarios of SLR using projections from the U.S. Army Corps of Engineers (USACE) and University of Florida's GeoPlan Center, using a modeled restoration scenario of the current landscape-scale water operations affecting CSSS habitat as the baseline. We then ran EverSparrow with the baseline and two SLR projections and examined the probability of CSSS presence within the three coastal subpopulations.

Tags: biota, climate-change, effects-of-climate-change, endangered-species, environment, everglades, everglades-national-park, florida, geoscientificinformation, natural-resource-management, sea-level-change, southern-florida, usgs-62c5eb97d34eeb1417bafe60, water-resource-management, wetland-ecosystems, wildlife-population-management
Organization: Department of the Interior
GPS telemetry of Florida manatees and riverine water temperatures from southwest Florida 2002-2015

These data represent 1) GPS telemetry of 40 Florida manatees from 2002 through 2008, covering southwest Florida from Charlotte Harbor to Florida Bay, and 2) water temperature readings from 10 riverine sites in the Everglades region of southwest Florida using Onset dataloggers from 2008 through 2015.

Tags: animal-tracking, biota, usgs-62c5ed3ed34eeb1417bafe71, water-temperature
Organization: Department of the Interior
WASP model used to simulate flow and eutrophication in the central Salem River, New Jersey

A one-dimensional surface-water quality model of the central Salem River Basin, New Jersey was developed to examine the causes of eutrophication and predict the effects of reduced point and nonpoint source nutrient loads on water quality. The model was developed using the USEPA WASP code. The model simulates channel flow and the fate and transport of dissolved oxygen, oxygen demands, nutrients, and phytoplankton chlorophyll-a in the main stem river and largest tributary from April 1, 2007 to October 31, 2008.  Continuous and discrete water-quality data from the Salem River were collected during this period to help build and calibrate the model. The calibrated model was used to evaluate the effects of (1) natural conditions and (2) an extreme reduction in nutrient loads. The scenarios involved reduction of nonpoint and point source nitrogen and phosphorous inputs to the river from the adjacent watershed and riverbed. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20225047)

Tags: environment, eutrophication, geoscientificinformation, inlandwaters, new-jersey, salem-county, salem-river, surface-water-model, usgs-62c6f719d34eeb1417bb10fb, usgswaterqualitymodel, wasp, water-quality, water-quality-model, woodstown
Organization: Department of the Interior