AndreaBozzo/ceres-open-data-index huggingface dataset:
Echosounder Points, Ashokan Reservoir, 2013 to 2014

From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps.  Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir.  A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment.  Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the form of triangulated irregular networks (TINs); the TINs were linearly enforced to better represent geomorphic features within the reservoirs.  The linearly enforced TINs were used to create bathymetric maps of the reservoirs; contours were mapped at 2-foot intervals and capacity was calculated at 0.01-foot intervals. This dataset contains the echo sounder point data.

Tags: ashokan-reservoir, bathymetry, gps-measurement, single-beam-echo-sounder, ulster-county, usgs-58068305e4b0824b2d1d417d
Organization: Department of the Interior
Sagebrush Types, Soil Regime Classes, and Fire Frequencies in Greater Sage-grouse Population Areas of the Columbia Basin (1984-2013)

This three-band, 30-m resolution raster contains sagebrush vegetation types, soil temperature/moisture regime classes, and large fire frequencies across greater sage-grouse population areas within the Columbia Basin sage-grouse management zone. Sagebrush vegetation types were defined by grouping together similar vegetation types from the LANDFIRE biophysical settings layer. Soil moisture and temperature regimes were from an USDA-NRCS analysis of soil types across the greater sage-grouse range. Fire frequencies were derived from fire severity rasters created by the Monitoring Trends in Burn Severity program. The area of analysis included the greater sage-grouse populations areas within specific management zones. Methods used to derive these data are detailed in the report [Brooks, M.L., Matchett, J.R., Shinneman, D.J., and Coates, P.S., 2015, Fire patterns in the range of greater sage-grouse, 1984-2013; Implications for conservation and management: U.S. Geological Survey Open-File Report 2015-1167, 66 p., http://dx.doi.org/10.3133/ofr20151167]

Tags: greater-sage-grouse, soil-vegetation-relationships, usgs-560ef356e4b0ba4884c5ed0d, wildfires, wildland-fires, wildlife-conservation
Organization: Department of the Interior
Wind rose plots for the volcano: 383030  Tenerife

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d018c9e4b0236b68f533af, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Cedar Island, VA, 2012–2013

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, bayesian-network, cedar-island, cmgp, coastal-and-marine-geology-program, coastal-erosion, coastal-habitat, coastal-hazards, coastal-processes, delmarva-peninsula, environment, erosion, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, hazards, land-use-and-land-cover, mean-high-water, mhw, north-america, probability, sea-level-change, sea-level-rise, shoreline-change, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc8e0e4b0941bde4fc5a6, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Worldview 3 Mosaic, Surface Reflectance, Shortwave Infrared, Hillsboro, Maryland, May 14th 2015

Worldview 3 SWIR Image Mosaic that has been atmospherically corrected to surface reflectance covering a small portion of the Eastern Shore of Maryland, centered on Hillsboro, MD.

Tags: agriculture, soil-moisture, usgs-597b53a2e4b0a38ca275645e
Organization: Department of the Interior
Data Pertaining to Mapping the Approximate Inland Extent of Saltwater at the Base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida, 2016

Data pertaining to mapping the approximate inland extent of saltwater at the base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida in 2016. The inland extent of saltwater at the base of the Biscayne aquifer in the Model Land area of Miami-Dade County, Florida, was last mapped in 2011. Since that time, the saltwater interface has continued to move inland. The interface is near several active well fields; therefore, an updated approximation of the inland extent of saltwater and an improved understanding of the rate of movement of the saltwater interface are necessary. A geographic information system was used to create a map using the data collected by the organizations that monitor water salinity in this area. A rate of saltwater interface movement of 140 meters per year was estimated by dividing the distance between two monitoring wells (TPGW-7L and Sec34-MW-02-FS) by the travel time. The travel time was determined by estimating the dates of arrival of the saltwater interface at the wells and computing the difference. This estimate assumes that the interface is traveling east to west between the two monitoring wells. Although monitoring is spatially limited in this area and some of the wells are not ideally designed for salinity monitoring, the monitoring network in this area is improving in quality and spatial distribution. The approximation of the inland extent of the saltwater interface and the estimated rate of movement of the interface are dependent on existing data. Improved estimations could be obtained by installing uniformly-designed monitoring wells in systematic transects extending landward of the advancing saltwater interface. 
This release of data includes the chloride concentration and specific conductance of water samples, and the water conductance profiles provided by other organizations that were used for this mapping effort and to determine the rate of movement of the saltwater interface. Also included are GIS files of the 1,000 mg/L islochlor and well information

Tags: biscayne-aquifer, florida, isochlor, miami-dade-county, model-land-area, monitoring-well, saltwater-interface, saltwater-intrusion, usgs-580fde09e4b0f497e796072e
Organization: Department of the Interior
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station nmn703

This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station nmn703 in the Northern Minnesota survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9G2Y71H.

Tags: animikie-basin, apparent-resistivity, archean, ashland-syncline, bayfield-peninsula, conductivity, duluth-complex, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, keweenaw-peninsula, lake-superior, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mesoproterozoic, michigan, midcontinent-rift, mineral-resources, mineral-resources-program, minnesota, mrp, mt, paleoproterozoic, penokean-orogen, phanerozoic, phase, quaternary, tectonics, time-series, tipper, upper-peninsula, usgs-5f6a7c7f82ce38aaa24495a6, wisconsin, wisconsin-magmatic-terranes
Organization: Department of the Interior
Shot Points at 500 shot intervals for seismic data collected aboard R/V RAFAEL (field activities 05001 and 06001) in Apalachicola Bay and St. George Sound, FL (SeismicShot500)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.
High-resolution bathymetry, backscatter intensity, and seismic profile data were collected over 230 square kilometers of the floor of the bay. The study focused on the Apalachicola Bay and Western St. George Sound portions of the estuary in mostly in depths &gt; 2.0 meters.

Tags: 2005, 2006, apalachicola-bay, apalachicola-national-estuarine-research-reserve, cmgp, coastal-and-marine-geology-program, field-activity-serial-number-05001, field-activity-serial-number-06001, florida, geospatial-datasets, gulf-of-mexico, location, marine-geology, marine-geophysics, navigational-data, oceans, sea-floor, seafloor, seismic-profile, st-george-sound, subsurface, transportation, u-s-geological-survey, united-states, usgs, usgs-3d78e232-507c-4ab5-8d95-5d22e04b81eb, whsc, woods-hole-science-center
Organization: Department of the Interior
Oregon Mule Deer Fossil-Grizzly Stopovers

The majority of the Fossil-Grizzly mule deer herd winters near Bear Creek and the fork of John Day River and Bridge Creek, in habitats composed of big sagebrush, western juniper, and grassland. Another group winters to the southwest, near U.S. Highway 26, in areas with higher proportions of western juniper. In spring, both groups migrate to ponderosa pine, western juniper, and mixed-conifer forests around the Ochoco Mountains. Other Fossil-Grizzly mule deer winter to the north, near Arrastra Canyon, Dry Hollow, and the fork of John Day River and Muddy Creek, and use a mix of grassland, western juniper, and big sagebrush habitats interspersed with nonnative annual grasses. Summer ranges for migratory individuals comprise higher proportions of big sagebrush, ponderosa pine, and mixed-conifer forest near Eagle Valley and Bald Mountain. One Fossil-Grizzly mule deer in this area only migrated once before remaining on the summer range for multiple years. Mule deer traveling to summer ranges on the Ochoco Mountains often cross U.S. Highway 26 where ODOT recorded an annual average of 74.2 DVCs from multiple deer species from 2010 to 2022 along a 45-mile (72-km) section of road (ODOT, 2023). In 2014, the Pine Creek Complex and Bailey Butte fires burned 30,257 acres (12,245 ha) and 10,277 acres (4,159 ha) of winter and summer habitat, respectively (BLM, 2023a). In 2018, the Jennie’s Peak fire affected an additional 45,975 acres (18,605 ha) of winter habitat. These fires occurred in a mosaic of habitat types, potentially spreading invasive grasses in areas without sufficient perennial plant cover, but also beneficially reducing dense canopy cover in heavily forested areas.
These mapping layers show the location of the stopovers for mule deer (Odocoileus hemionus) in the Fossil-Grizzly population in Oregon. They were developed from 40 migration sequences collected from a sample size of 15 animals comprising GPS locations collected every 5-13 hours.

Tags: animal-behavior, biota, migration-organisms, migratory-species, mitchell, oregon, united-states, usgs-67917728d34ea6a4002bface
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P7 from 1989

Orthorectified image from aerial photograph of wetland P7 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58768ba7e4b0aa226e1a2b55, wetland-ecosystems
Organization: Department of the Interior
Plant Community Exposure Models

These data were compiled to forecast climate exposure for 29 major plant communities in the southwestern United States to changing climate under two future climate change scenarios. An objective of our study was that species within plant communities have unique climate suitability signatures and forecast changes in climatic suitability will not be uniform within the species respective communities or among species within the community. We developed these spatial models where climate exposure is represented as a composite score of the climate exposure of characteristic plants for each community. Baseline climate exposure rasters represent a baseline climate change and were developed for current climate conditions (~1960-1990) from WordlClim v1.4 data. Climate exposure ratings are forecast for the period 2040-60 using the Community Climate System Model v4 (CCSM4) for Representative Concentration Pathways (RCP) 4.5 and 8.5. Climate exposure is indicated as a categorical score (1-5) that is a composite of climate suitability scores for characteristic plant species identified for each plant community and represents a range of climate exposure ratings from unfavorable to best climatic suitability. Plant communities are represented as mapped by the USGS – Core Science Analytics, Synthesis, and Library – Gap Analysis Project, 2011 (Gap Landcover).

Tags: arizona, atmospheric-and-climatic-processes, biogeography, biota, california, ccsm4, climate-change, climate-exposure, climate-suitability-models, colorado, community-climate-system-model-v4, ecological-processes, environment, machine-learning, mathematical-modeling, maxent, nevada, new-mexico, plant-communities, plant-species, raster-data, rcp, relative-climatic-suitability, representative-concentration-pathways-rcp-4-5, representative-concentration-pathways-rcp-8-5, southwest-united-states, spatial-forecasts, usgs-638538c2d34ed907bf779911, utah
Organization: Department of the Interior
Updated Flow-Duration Exceedance Probabilities for Select Reference Streamgages in the Delaware River Basin and Associated Basin Characteristic Geospatial Data

The U.S. Geological Survey (USGS) operates a dense network of streamgages within the Delaware River Basin (DRB) that provides near real-time and daily mean streamflow values, many of which have a decades long period of record. This long-term, historical dataset of daily mean streamflows is crucial for prediction of flows at ungaged stream reaches by means of parameter-based regression equations and can assist in informing water management and use decisions within the DRB. The USGS computed updated flow-duration exceedance probabilities for 98 current (2022) reference streamgages within the DRB with at least 10 years of record and minimally altered (nominal anthropogenic activity such as mining, diversion, or impoundment) streamflow regimes. The Make Plotting Position (MkPP; Granato, 2009) program with Weibull plotting position was used to calculate flow-duration exceedance probabilities for 21 streamflow percentiles. Percent difference comparison between these resulting flow-duration exceedances were made with observed and regression equation predicted streamflow values published by Stuckey (2016) for the 1960 through 2010 time period. A time-series trend analysis of 1979–2022 daily mean streamflows at 19 percentiles was computed using a non-parametric Mann-Kendall trend test (Hirsch and others, 2015). Associated basin characteristic raster layers that are currently used in StreamStats for the DRB, including percentage sand in soil, percentage poorly drained soils, percentage urban land use, mean annual precipitation, mean winter precipitation (December–February), and soil hydraulic conductivity, are included in this data release.
Citations:
Granato, G.E., 2009, Computer programs for obtaining and analyzing daily mean streamflow data from the U.S. Geological Survey National Water Information System Web Site: U.S. Geological Survey Open-File Report 2008–1362, 123 p. on CD-ROM, 5 appendixes, https://pubs.usgs.gov/publication/ofr20081362
Hirsch R.M., DeCicco L.A., 2015, User Guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R Packages for Hydrologic Data: U.S. Geological Survey Techniques and Methods 4-A10, https://pubs.usgs.gov/tm/04/a10/
Stuckey, M.H., 2016, Estimation of daily mean streamflow for ungaged stream locations in the Delaware River Basin, water years 1960–2010: U.S. Geological Survey Scientific Investigations Report 2015–5157, 42 p., http://dx.doi.org/10.3133/sir20155157

Tags: delaware-river-basin, environment, flow-duration-exceedance, pennsylvania, statistical-hydrology, streamflow-statistics, usgs-65f46307d34ebfb8e1677f06
Organization: Department of the Interior
Riparian vegetation data downstream of Glen Canyon Dam in Glen Canyon National Recreation Area and Grand Canyon National Park, AZ from 2014 to 2019

These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is compatible with the basin-wide monitoring program overseen by the National Park Service’s Northern Colorado Plateau Network Inventory and Monitoring program. These data represent estimated cover and richness of plants, as well as associated environmental variables at sample sites visited in 2014 and 2016-2019. These data were collected in the field following the Palmquist and others (2018) published protocol in August, September, and October of each year. This protocol uses ocular cover estimates of variables of interest in 1-m2 quadrat frames at both randomly-selected and annually sampled long-term monitoring sites. Within the study area (between Glen Canyon Dam and the full pool level of Lake Mead), these data can be used to evaluate changes in riparian plant cover between 2014 and 2019, evaluate differences in floristic composition, estimate the frequency and cover of recorded plant species, document approximate distributions of plant species, and estimate species richness and diversity. Caution should be used when combining these data with other data sets, particularly those that utilize different plant cover estimation methods (for example, line-point intercept).

Tags: annual-sampling, arizona, biogeography, biota, colorado-river, data-collection, data-release, datasets, environment, environmental-variables, field-data-collection, field-inventory-and-monitoring, field-sampling, floristic-composition, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, grand-canyon, grand-canyon-national-park, inlandwaters, lake-mead, long-term-monitoring, marble-canyon, native-species, nonindigenous-species, northern-arizona, ocular-cover-estimates, plant-composition, plant-cover, plant-frequency, plant-richness, plant-species, plants-organisms, quadrat-frames, randomly-selected, riparian-plants, riparian-zone, sample-sites, species-distribution, species-diversity, species-richness, time-series-datasets, usgs-612fa47ad34e40dd9c099fd7, vascular-plants, vegetation, vegetation-change, vegetation-monitoring, wetland-ecosystems
Organization: Department of the Interior