AndreaBozzo/ceres-open-data-index huggingface dataset:
Shorelines of the Long Island coastal region used in shoreline change analysis for the Long Island region from Montauk Point to the entrance of Raritan Bay, New York (LongIsland_shorelines.shp)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.  
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-services-center, continental-island-shore-complex, csc, digital-shoreline-analysis-system, dsas, east-hampton, effects-of-coastal-change, endpoint-rate, environment, erosion, fire-island, geoscientificinformation, jones-beach, linear-regression-rate, long-beach, long-island, mid-atlantic, montauk, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, new-york, new-york-sea-grant, new-york-state-department-of-state, noaa, oceans, rockaway, shoreline-accretion, shoreline-change-rate, shoreline-erosion, south-hampton, u-s-army-corps-of-engineers, u-s-geological-survey, united-states, usace, usgs, usgs-ff41d560-48e5-41d3-b8cd-243f83dca455, virginian-ecoregion, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
An inventory of subsurface geologic data: structure contour and isopach datasets, U.S. Geological Survey

Under the direction and funding of the National Cooperative Mapping Program with guidance and encouragement from the United States Geological Survey (USGS), a digital database of three-dimensional (3D) vector data, displayed as two-dimensional (2D) data-extent bounding polygons. This geodatabase is to act as a virtual and digital inventory of 3D structure contour and isopach vector data for the USGS National Geologic Synthesis (NGS) team. This data will be available visually through a USGS web application and can be queried using complimentary nonspatial tables associated with each data harboring polygon. This initial publication contains 60 datasets collected directly from USGS specific publications and federal repositories. Further publications of dataset collections in versioned releases will be annotated in additional appendices, respectfully. These datasets can be identified from their specific version through their nonspatial tables. 
This digital dataset contains spatial extents of the 2D geologic vector data as polygon features that are attributed with unique identifiers that link the spatial data to nonspatial tables that define the data sources used and describe various aspects of each published model. The nonspatial DataSources table includes full citation and URL address for both published model reports, any digital model data released as a separate publication, and input type of vector data, using several classification schemes. A tabular glossary defines terms used in the dataset. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables.

Tags: 2d, atlas, borehole, chronostratigraphy, elevation, federal-geographic-data-committee, gems, geologic-mapping-schema, geology, geoscientificinformation, hydrogeology, isopach, maps, maps-and-atlases, national-cooperative-geologic-map-program, national-geologic-synthesis-project, stratigraphy, structure-contour, subsurface-maps, usgs-64398902d34ee8d4ade1fc11, vector-digital-data
Organization: Department of the Interior
Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats

In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990, 1992). The region limits were described in written text and depicted in figures in Bohman (1990,1992), but have not been provided as geospatial layers (due to the age of the original publications). This project used best-available geospatial data from the U.S. Environmental Protection Agency (USEPA) ecoregions (2013) to create equivalent geospatial representations of the Bohman (1990, 1992) region boundaries for the SC Stream Hydrograph Methods. These layers will be used in the SC StreamStats application to generate hydrographs for estimated storm runoff simulations. The StreamStats application (https://streamstats.usgs.gov) provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate watershed areas, retrieve basin characteristics, estimates of flow statistics, and more.

Tags: basin, flood, floods, gage, geography, georgia, geoscientificinformation, geospatial-datasets, hazard-preparedness, hydrology, inlandwaters, natural-resources, north-carolina, south-carolina, streamflow, streamgage, surface-water, united-states, usgs-6284ef51d34e3bef0c9a5271, virginia
Organization: Department of the Interior
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station nmn807

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 nmn807 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-5f6a881382ce38aaa2449600, wisconsin, wisconsin-magmatic-terranes
Organization: Department of the Interior
Cascadia subduction zone database: compilation of published datasets relevant to Cascadia subduction zone earthquake hazards and tectonics (2022)

In this database, we compile and host several available onshore and offshore geologic, paleoseismic, geophysical, and instrumental datasets along the Cascadia subduction zone. The ScienceBase data release and downloadable map package is accompanied by an ArcGIS online map and StoryMap.

Tags: geology, geophysics, usgs-623cf2a6d34e915b67d47586
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1999

Spatial polygons of vegetation zones in 1999 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during July 1999 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c82479e4b0849ce97960f1, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Chemistry data for assessment of invertebrates in the Pinyon Plain Mine containment pond, 2021

These data are comprised of measurements of elements (e.g., uranium, cobalt, nickel, copper, zinc, cadmium, lead, etc.) in Pinyon Plain Mine containment pond invertebrate samples collected in calendar year 2021.

Tags: arizona, canyon-mine, coconino, environment, grand-canyon, metals, mine-sites, mining-and-mineral-extraction, mining-hazards, u-s-geological-survey-columbia-environmental-research-center, usgs-62e1432fd34e10763b598fba
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on June 14, 2022, from Jupiter Island, Florida

On June 14, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220614.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-fde3b424-5a57-4e41-ac50-9d1e46ff7c4b
Organization: Department of the Interior
Fish Egg Retention on Egg Mats in Experimental Flumes and Targeted Field Gear Egg Collection in the Detroit River, 2015-2016

Egg mat retention trials were conducted with walleye (Stizostedion vitreum) and lake whitefish (Coregonus clupeaformis) eggs in an experimental flume tank, seeded directly on egg mats (test retention efficiency) and hand dispersed in flowing flume water to simulate spawning over egg mats (test capture efficiency) with and without alternate substrate. In the field study, we measured number of eggs collected on mats and with bottom drift nets in the Detroit River to compare capture effectiveness. The field collection data describe the number, date of collection, and exact collection location of target species (walleye and lake whitefish). The flume trial data include number of eggs retained or collected, water velocity, and substrate during the flume trials.

Tags: biological-sampling, biota, coregonus-clupeaformis, detroit-river, eggs, environment, field-inventory-and-monitoring, fish-eggs, fishery-management, fishery-resources, fishes, freshwater-ecosystems, gear-efficiency, inlandwaters, lake-whitefish, maumee-river, river-systems, saginaw-bay, sander-vitreus, stizostedion-vitreum, usgs-61b796fdd34e78124560f87a, walleye
Organization: Department of the Interior
Enhanced Historical Land-Use and Land-Cover Data Sets of the U.S. Geological Survey: Tile Index Polygons

This polygon data set documents the spatial extent of polygon files included in a release of enhanced 
U.S. Geological Survey historical  land-use and land-cover data.

Tags: digital, environment, geographic, geoscientificinformation, giras, inlandwaters, land, landcover, landuse, lulc, united-states, usa, usgs-24f246e0-e394-414c-8757-936bd96b2891
Organization: Department of the Interior
Downscaled Climate Projections for the Edwards Aquifer Region (EAR) using CMIP5 for the years 2006 – 2100

Global climate models (GCMs) are computationally intensive, physics-based research tools used to simulate the climate system. GCM can also be useful in applied research contexts with the use of statistical downscaling techniques. This collection of statistically downscaled climate projections includes 7 sets of SD-processed CMIP5 projections of daily high temperature, daily low temperature, and daily total precipitation across the Edwards Aquifer Region (EAR) in south central Texas. These sets of projections were created using four GCMs from the CMIP5 archive (CMCC-CM, HadGEM2-CC, inmcm4, MRI-ESM1), each of which simulated 21st century climate responses for multiple future emissions scenarios. The CMIP5 GCMs simulated response under the representative concentration pathways (RCPs) 4.5 and 8.5. The equi-distant quantile mapping method (EDQM) was used for statistical downscaling with the Daymet v. 4 as the observational data used for training. The resulting SD-processed projections are on a 1 km by 1 km grid covering the EAR in south central Texas (100.75 degress E to 97.5 degrees E, 28.75 degrees N to 30.50 degrees N). Both historical baseline files (1980-2005) and future projections (2006-2100) are provided.
Applied researchers may explore aspects of potential changes in the EAR using these high resolution projections, including as inputs to additional modelling (e.g. hydrology modeling, crop modeling, etc.). This collection should not be considered comprehensive in spanning the entire scope of SD processed climate projections for the EAR. These climate projection data products are provided as is without any warranty and no agreement to support subsequent projects based on this dataset, beyond providing the data to public domain.

Tags: atmospheric-and-climatic-processes, climate-change, climatologymeteorologyatmosphere, downscaling, edwards-aquifer, geospatial-datasets, san-antonio, texas, usgs-66ce1f32d34e98e8a924407f
Organization: Department of the Interior
Color-Encoded Image of 5-m Gridded Hill-Shaded Bathymetry From Long Island Sound off Bridgeport, Connecticut (H11045_UTM18_5MBATHY.TIF, UTM)

The U.S. Geological Survey, in cooperation with the National Oceanic and Atmospheric Administration and the Connecticut Department of Environmental Protection, has produced detailed geologic maps of the sea floor in Long Island Sound, a major East Coast estuary surrounded by the most densely populated region of the United States.  These studies have built upon cooperative research with the State of Connecticut that was initiated in 1982.  The current phase of this research program is directed toward studies of sea-floor sediment distribution, processes that control sediment distribution, nearshore environmental concerns, and the relation of benthic community structures to the sea-floor geology.
Anthropogenic wastes, toxic chemicals, and changes in land-use patterns resulting from residential, commercial, and recreational development have stressed the environment of the Sound, causing degradation and potential loss of benthic habitats (Koppelman and others, 1976; Long Island Sound Study, 1994). Detailed maps of the sea floor are needed to help evaluate the extent of adverse impacts and to help manage resources wisely in the future.  Therefore, in a continuing effort to better understand Long Island Sound, we have regridded and interpolated this NOAA bathymetric survey into a complete-coverage acoustic image of the sea floor.  The image presented herein covers an area of the sea floor in west-central Long Island Sound off Bridgeport, Connecticut and was produced from data collected during NOAA survey H11045.
This imagery may serve many purposes, including: (1) defining the geological variability of the sea floor, which is one of the primary controls of benthic habitat diversity; (2) improving our understanding of the processes that control the distribution and transport of bottom sediments and the distribution of benthic habitats and associated infaunal community structures; and (3) providing a detailed framework for future research, monitoring, and management activities.  This bathymetry may also serve as a base map for subsequent sedimentological, geochemical, and biological observations, because precise information on environmental setting is important for selection of sampling sites and for accurate interpretation of point measurements.

Tags: arcview, atlantic-ocean, bridgeport, cmgp, coastal-and-marine-geology-program, computational-methods, connecticut, geoscientificinformation, geospatial-datasets, geotiff, gridded, image, imagerybasemapsearthcover, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, noaa, noaa-ship-rude, north-america, oceans, pseudo-color-image, sea-floor-characteristics, survey-h11045, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-930a1c5c-37e7-4447-a242-b1a5c621ec0c, whsc, woods-hole-science-center
Organization: Department of the Interior
Estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture

This coverage contains estimates of agricultural cropping-practices in counties in the conterminous 
United States as reported in the 1987 Census of Agriculture (U.S. Department of Commerce, 1989a). 
Agricultural cropping-practice data are reported as either acres, or as a percentage of county area. 
Agricultural cropping-practice estimates were generated from surveys of all farms where $1,000 or 
more of agricultural products were sold, or normally would have been sold, during the census year.
		
Most of the attributes summarized represent 1987 data, but some information for the 1982 Census 
of Agriculture also was included.
			
The polygons representing county boundaries in the conterminous United States, as well as lakes, 
estuaries, and other nonland-area features were derived from the Digital Line Graph (DLG) files 
representing the 1:2,000,000-scale map in the National Atlas of the United States (1970).
			
crops
Agricultural cropping-practices
Census of Agriculture
Counties
United States

Tags: agricultural-cropping-practices-in-counties-from-the-1987-census-of-agriculture, environment, geoscientificinformation, inlandwaters, usgs-70c076f6-6f0a-43b5-b533-0fa597601d9b
Organization: Department of the Interior
Global gray-sky dT: the inverse of the surface psychrometric constant parameter in the SSEBop evapotranspiration model

The surface psychrometric constant (spc) is a key model parameter in actual evapotranspiration modeling using the Operational Simplified Surface Energy Balance (SSEBop) model for establishing model boundary limits for the dry/bare and wet/vegetated surface conditions. The inverse of the constant (1/spc) represents the temperature difference (dT) between the bare/dry surface and the air temperature at the canopy level. The main output of the SSEBop model is an ET fraction (0-1) and, when combined with reference (“maximum”) ET, produces an actual ET estimate from satellite-observed land surface temperature. This dT is determined using net radiation inputs under gray-sky radiations from the ERA-5 datasets, i.e.,  Surface Solar Radiation Downwards instead of clear-sky assumptions used for the previous dT versions. The dT estimates are adjusted for elevation effects using established equations.

Tags: air-temperature, climatologymeteorologyatmosphere, et-modeling, geoscientificinformation, net-radiation, psychrometric-constant, ssebop-model, usgs-623a0aecd34e915b67cddd21
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0132 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dce132d34e5f6cd5527ff3, wetland, wetland-restoration
Organization: Department of the Interior