AndreaBozzo/ceres-open-data-index huggingface dataset:
Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1

The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).

Tags: annual-exceedance-probability, computational-methods, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, lower-milk, middle-milk, milk, milk-headwaters, montana, north-america, peak-flow-frequency, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, upper-milk, usgs-5fd0e1c5d34e30b91239b639, usgs-cc-natural-hazards, watershed-management
Organization: Department of the Interior
Geochemical data supporting investigation of solute and particle cycling and fluxes from two tidal wetlands on the south shore of Cape Cod, Massachusetts, 2012-19 (ver. 3.0, January 2025)

Assessment of geochemical cycling within tidal wetlands and measurement of fluxes of dissolved and particulate constituents between wetlands and coastal water bodies are critical to evaluating ecosystem function, service, and status. The U.S. Geological Survey and collaborators collected surface water and porewater geochemical data from a tidal wetland located on the eastern shore of Sage Lot Pond in Mashpee, Massachusetts, within the Waquoit Bay National Estuarine Research Reserve, between 2012 and 2019. Additional porewater geochemical and field data from a tidal wetland on the eastern shore of Great Pond in East Falmouth, MA are also included. These data can be used to evaluate biogeochemical conditions and cycling of carbon and other elements within the marsh platform and to calculate lateral tidal exchange fluxes of a suite of dissolved and particulate constituents between the wetland and estuary. Analytes include but are not limited to: dissolved oxygen, oxidation reduction potential, pH, salinity, dissolved and particulate organic and inorganic carbon, stable carbon isotopic ratios, nitrogen species, phosphate, silica, dissolved methane and nitrous oxide gas, trace elements, radium isotopes, alkalinity, and sulfide. Much of the surface water data at Sage Lot Pond was collected from the mouth of a tidal creek across full-tidal (12 to 14 hour) timeseries sampling events at 0.5 to 2-hour intervals at different points in the spring/ neap cycle and season. Porewater samples were collected at multiple depths (9 to 245 centimeters) in transects extending across the marsh platform at different times in the season between 2014 and 2019. Sage Lot Pond creek data are concurrent with extended time-series measurement of water quality and flow data measured with deployed sensors in the tidal creek (Mann and others, 2019), and with carbonate chemistry data measured at the site (Wang and others, 2019, 2020).

Tags: biogeochemical-cycling, cape-cod, carbon-isotopes, carbon-sequestration, climate-change, dissolved-inorganic-carbon, dissolved-organic-carbon, dissolved-oxygen, environment, falmouth, geochemistry, geoscientificinformation, great-pond, isotopic-analysis, mashpee, massachusetts, oxygen-content-water, particulate-organic-carbon, porewater-chemistry, sage-lot-pond, salinity, tidal-wetland, united-states, usgs-5fd0c4c0d34e30b91239b615, waquoit-bay, water-chemistry, water-quality
Organization: Department of the Interior
Projected flooding extents and depths based on 10-, 50-, 100-, and 500-year wave-energy return periods for the Commonwealth of Puerto Rico for current and potentially restored coral reefs

This part of the data release presents projected flooding extent polygon (flood masks) shapefiles based on wave-driven total water levels for the Commonwealth of Puerto Rico. There are 16 associated flood mask and flood depth shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years), the current scenario (base) and each of the restoration scenarios (structural_25, structural_05, and ecological_25).

Tags: cayo-vieques, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reef, coral-reef-communities, culebra, environment, flooding, geoscientificinformation, habitat, isla-de-culebra, island-of-puerto-rico, oceans, pacific-coastal-and-marine-science-center, pcmsc, puerto-rico, reef, reef-ecosystems, u-s-geological-survey, united-states-of-america, usgs, usgs-5fd0162fd34e30b91239af00, vieques
Organization: Department of the Interior
Projected flooding extents and depths based on 10-, 50-, 100-, and 500-year wave-energy return periods for the State of Florida for current and potentially restored coral reefs

This part of the data release presents projected flooding extent polygon (flood masks) shapefiles based on wave-driven total water levels for the State Florida (the Florida Peninsula and the Florida Keys). There are 16 associated flood mask and flood depth shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years), the current scenario (base) and each of the restoration scenarios (structural_25, structural_05, and ecological_25).

Tags: broward-county, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reef, coral-reef-communities, environment, flooding, florida-keys, florida-peninsula, geoscientificinformation, habitat, martin-county, miami-dade-county, monroe-county, oceans, pacific-coastal-and-marine-science-center, palm-beach-county, pcmsc, reef, reef-ecosystems, state-of-florida, u-s-geological-survey, united-states-of-america, usgs, usgs-5fd015afd34e30b91239aefe
Organization: Department of the Interior
Geospatial data to assess karst aquifer systems between Albany and Buffalo, New York (ver. 4.0, January 2024)

Using publicly available data for Albany and Schenectady counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. 
An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation models (DEMs) and a modeled stream network. Closed depressions were identified from the processed DEMs using threshold criteria of 10 and 30 centimeters (3.9 and 11.8 inches) for depth and 100 square meters (1076 square feet) for area. A combination of hydrologic, mining, and cultural features was used to eliminate false positives and filter out features that overlie existing waterbodies, streams, and mines and to remove artificial dams along roadways and railways. 
This data release includes shapefiles containing the well data information including location, well depth, depth to bedrock, and groundwater depth; bedrock geology; surficial geology; interpolated bedrock surface contours; interpolated groundwater surface contours; soil saturated hydraulic conductivity; soil classes; and modeled closed depressions of 10 cm and 30 cm depth thresholds. This release also contains rasters of the interpolated bedrock surface, interpolated groundwater surface and land use.

Tags: albany-county, closed-depression, groundwater, karst, new-york, schenectady-county, united-states, usgs-5fcfa3b7d34e30b91239ac3f
Organization: Department of the Interior
Passive seismic depth to bedrock data collected along headwater stream corridors in the Neversink River watershed, NY, USA

The Neversink River watershed (above the Neversink Reservoir) has been a focus of U.S. Geological Survey (USGS) research regarding stream geochemistry, acidification, and ecology dynamics for decades. In 2019, the Water Mission Area Next Generation Water Observing Systems Program augmented the existing stream gage network there, including instrumentation to specifically characterize various aspects of groundwater discharge to streams. An important control on the spatiotemporal dynamics of groundwater discharge can be stream valley corridor depth to bedrock, otherwise conceptualized as the thickness of unconsolidated sediments sediments over the contiguous bedrock interface. In June 2019, and November 2020, passive seismic recordings were acquired at locations directly along stream banks in the Neversink River watershed, using MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers to assess depth to bedrock using the horizontal-to-vertical spectral-ratio (HVSR) method. 
Resonance frequencies were derived from the raw data using the GRILLA software (MOHO, S.R.L.) and converted to inferred depths to the bedrock contact. This method requires a value for seismic shear wave velocity, which depends on the unconsolidated sediment composition and density, for the conversion of HVSR measured resonance frequency to a depth to bedrock. Possible shear wave velocities were estimated for Neversink River watershed sediment based on previous research in the glacial terrain of the Northeast USA, providing a range of possible data interpretations as shown in the ‘Processed_Data’ folder of this data release. We expect to update the release in the future as additional HVSR data are collected.

Tags: environment, geophysics, geoscientificinformation, groundwater, groundwater-and-surface-water-interaction, headwater-streams, hvsr, hydrogeology, hydrology, inlandwaters, neversink-river, new-york, regolith-thickness, remote-sensing, sullivan-county, surface-water-non-marine, usgs-5fce8a40d34e30b912396ed1
Organization: Department of the Interior
Projected flooding extents and depths based on 10-, 50-, 100-, and 500-year wave-energy return periods for the State of Florida before and after Hurricanes Irma and Maria due to the storms' damage to the coral reefs

This part of the data release presents projected flooding extent polygon shapefiles based on wave-driven total water levels for the State Florida (the Florida Peninsula and the Florida Keys). There are eight associated flood mask and flood depth shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years), the pre-storm scenario (base) and the post-storm scenarios.

Tags: broward-county, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reef, coral-reef-communities, environment, flooding, florida-keys, florida-peninsula, geoscientificinformation, habitat, martin-county, miami-dade-county, monroe-county, oceans, pacific-coastal-and-marine-science-center, palm-beach-county, pcmsc, reef, reef-ecosystems, state-of-florida, u-s-geological-survey, united-states-of-america, usgs, usgs-5fce7bacd34e30b912396c9a
Organization: Department of the Interior
Projected flooding extents and depths based on 10-, 50-, 100-, and 500-year wave-energy return periods for the Commonwealth of Puerto Rico before and after Hurricanes Irma and Maria due to the storms' damage to the coral reefs

This part of the data release presents projected flooding extent polygon (flood masks) shapefiles based on wave-driven total water levels for Commonwealth of Puerto Rico. There are eight associated flood mask and flood depth shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years), the pre-storm scenario (base) and the post-storm scenarios.

Tags: cayo-vieques, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reef, coral-reef-communities, culebra, environment, flooding, geoscientificinformation, habitat, isla-de-culebra, island-of-puerto-rico, oceans, pacific-coastal-and-marine-science-center, pcmsc, puerto-rico, reef, reef-ecosystems, u-s-geological-survey, united-states-of-america, usgs, usgs-5fce79ccd34e30b912396c62, vieques
Organization: Department of the Interior
Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon 2012 and 2013

In this study, the U.S. Geological Survey investigated the use of insects as bioindicators of climate change in sagebrush steppe shrublands and grasslands in the Upper Columbia Basin. The research was conducted in the Stinkingwater and Pueblo mountain ranges in eastern Oregon on lands administered by the Bureau of Land Management. We used a “space-for-time” sampling design that related insect communities to climate and weather along elevation gradients. We analyzed our insect dataset at three levels of organization: (1) whole-community, (2) feeding guilds (detritivores, herbivores, nectarivores, parasites, and predators) and (3) orders within nectarivores (i.e., pollinators). 
This dataset contains information about insects, vegetation, and weather in 2012 and 2013 at four sites that span elevation gradients in sagebrush steppe habitats in eastern Oregon. Each site contained nine sampling plots, arranged in groups of three at low, mid, and high elevations. Insects were collected using blue and yellow Japanese beetle flight traps and pitfall traps several times throughout the active season in 2012 and 2013. All insects were identified to the level of family and abundance. Abundances of families collected in pitfall traps, blue Japanese beetle flight traps, and yellow Japanese beetle flight traps are reported separately. Weather data was collected using iButton data loggers and weather stations. Hourly data was summarized into daily values which are reported here. When weather stations were not available, weather variables were estimated using data from nearby NOAA weather stations (see methods section of associated publication for details). Vegetation density data were collected using photo-grid analysis and point-quarter analysis. Vegetation data were collected at every sampling plot once per year.

Tags: biota, climate-change, community-ecology, environment, insects, pollinators, usgs-5fce6557d34e30b912396aee
Organization: Department of the Interior
WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018.

This file (wymt_ffa_2018C_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).

Tags: annual-exceedance-probability, carbon, computational-methods, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, montana, north-america, peak-flow-frequency, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, usgs-5fcab190d34e30b9123894af, usgs-cc-natural-hazards, watershed-management
Organization: Department of the Interior
PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018.

This file (wymt_ffa_2018C.psf) contains specifications to run PeakFQ version 7.3 for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018.

Tags: annual-exceedance-probability, carbon, computational-methods, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, montana, north-america, peak-flow-frequency, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, usgs-5fcaadc3d34e30b912389495, usgs-cc-natural-hazards, watershed-management
Organization: Department of the Interior
Data for Simulating the Effects of Air Temperature and Precipitation Changes on Streamflow and Water Temperature in the Meduxnekeag River Watershed, Maine

The U.S. Geological Survey (USGS), in cooperation with the Houlton Band of Maliseet Indians (HBMI), has developed tools to assess the effects climate change on hydrology and water temperatures in the Meduxnekeag River Watershed in Maine. A USGS Scientific Investigations Report (SIR) report documents tools and datasets developed by the USGS to evaluate how climate change will affect the hydrology and water temperature in the watershed. Future hydrologic climate projections were developed based on changes to the precipitation and air-temperature input to the USGS Precipitation Runoff Modeling System (PRMS) (Markstrom and others, 2015) version 5.1.0. The baseline input data sets to the model were precipitation and air temperature data from 1980 to 2016. Future scenarios included increases in precipitation by 0-, 5- , 10, and 15-percent and increase in air temperature by 0, 3.6, 7.0, and 10.4 degrees Fahrenheit. The data include the input to and output from the PRMS developed to provide streamflow and water temperature simulations under selected changes in air temperature and precipitation. The data also includes shapefiles of the hydrologic response units and stream segments with identifiers matching those in the PRMS model. 
Markstrom, S.L., Regan, R.S., Hay, L.E., Viger, R.J., Webb, R.M.T., Payn, R.A., and LaFontaine, J.H., 2015, PRMS–IV, the precipitation-runoff modeling system, version 4: U.S. Geological Survey Techniques and Methods, book 6, chap. B7, 158 p., accessed October 1, 2018, at https://doi.org/10.3133/tm6B7.

Tags: houlton-maine, hydrology, meduxnekeag-river, rainfall-runoff-model, usgs-5fcaa9f1d34e30b912389480
Organization: Department of the Interior
Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 3.0, November 2024)

This data release provides computed rainfall (rain total, duration, intensity, erosivity and antecedent rainfall) and flow (flow volume, flow-weighted mean concentrations, total loads, and total yields) metrics from monitored precipitation, discharge, and water quality (nutrients and sediment concentrations) data collected at U.S. Geological Survey edge-of-field (EOF) monitoring sites located in five Great Lakes States (Wisconsin, Michigan, Ohio, Indiana, and New York). EOF monitoring sites are installed at the edge of agricultural fields, either on the field surface or using subsurface tiles, where runoff can be intercepted and channeled through monitoring equipment before it enters the natural stream system. The methods used to collect this data followed USGS EOF monitoring methods (https://pubs.usgs.gov/of/20081015/). These EOF monitoring sites are located at private farms under a variety of farming systems, landscape settings, drainage areas, soil types, and climates. Site information is provided in the ‘EOF_Site_Table.csv’ data table.
Rainfall metrics were computed for EOF site locations and are provided in the ‘All_EOF_RainEvents.csv’ data table. Rainfall was directly monitored at many, but not every EOF monitoring site. EOF monitoring sites without on-site rainfall data were associated to rainfall data measured at a nearby EOF monitoring site or meteorological site. Rainfall was combined into a single event if it occurred within 2 hours of the previous rainfall. 
Flow data were computed for each flow event at each EOF monitoring site and are available in the ‘All_EOF_StormEventLoadsFormatted.csv’ data table. A flow event was defined as any period of flow at a site that was classified as a storm and represents flow that was related to rainfall or snowmelt. There were occurrences of continuous flow between rain events, which were not associated with a period of rainfall or snowmelt, likely due to excessive soil saturation or shallow groundwater discharge. These periods of intermittent tile discharge were not classified as a storm. 
Multiple precipitation and flow events were combined if they occurred within two hours of each other to account for similar rainfall/runoff characteristics. Rainfall metrics and flow data were then calculated for these combined events at each EOF monitoring site and available in the ‘All_EOF_StormEventLoadsRainCalculated.csv’ data table.

Tags: agriculture, erosion, farming, field-inventory-and-monitoring, great-lakes, indiana, michigan, new-york, nutrient-content-water, ohio, precipitation-atmospheric, runoff, suspended-material-water, usgs-5fcaa045d34e30b91238941f, water-quality, wisconsin
Organization: Department of the Interior
DSWEmod surface water map composites generated from daily MODIS images - California

USGS researchers with the Patterns in the Landscape – Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to generate surface water map composites in California for 2003-2019 at a 250-m pixel resolution. Daily maps were merged to create 6, 3, 2, and 1 composite(s) per month corresponding to approximately 5-day, 10-day, 15-day, and monthly products, respectively. 
The resulting maps are available as downloadable files for each year. Each file includes 72, 36, 24, or 12 bands that coincide with the number of maps generated in the 5-day, 10-day, 15-day, and monthly products, respectively. The bands are ordered chronologically, with the first band representing the beginning of the calendar year and the last band representing the end of the year. Each set of maps is labeled according to year and product type. There are 17 GeoTIF (.tif) raster data files for each composite product.

Tags: dynamic-surface-water-extent, environment, flooding, geoscientificinformation, imagerybasemapsearthcover, inland-waterways, inlandwaters, inundation, multispectral-imaging, surface-water-non-marine, usgs-5fca8e22d34e30b9123893a0
Organization: Department of the Interior