AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2016 Site 0063 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 390 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 2016 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. Three previous assessments have been conducted (2005, 2008, and 2012). 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-5b5f515ce4b006a11f66e96b, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Myrtle Island, VA, 2014

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, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-habitat, coastal-processes, delmarva-peninsula, environment, erosion, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, hazards, image-analysis, mean-high-water, mhw, myrtle-island, north-america, oceans, scientific-interpretation, sea-level-change, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5daa37dbe4b09fd3b0c9ceea, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Bullseye snakehead environmental DNA data, and associated attributes, collected from southeast Florida, from 2015-2018

Bullseye snakehead, Channa marulius, was first detected in 2000 in the southern Florida town of Tamarac and has been expanding its geographic range. Environmental DNA (eDNA) analysis is a newly-developed technique used to non-invasively detect cryptic or low-density species, or those that are logistically difficult to study. Genetic material shed into the environment through tissue and body fluids is concentrated from water samples and analyzed for the presence of target species eDNA. To help delineate bullseye snakehead’s geographic range, we developed and validated a species-specific eDNA assay for both quantitative and droplet digital PCR (ddPCR). We then used ddPCR to assess 16 locations in southeast Florida using 222 water samples collected from 2015-2018. Positive eDNA detections were obtained at all six locations that were within the known geographic range of bullseye snakehead. Furthermore, eDNA was detected in six of 10 locations that were previously thought to be outside the periphery of the range but hydrologically connected through the extensive canal system. Over the four years of sampling, estimated occurrence rates (ψ) remained stable and relatively high (ψ = 0.67 [95% Confidence Interval (CI) 0.33-0.95]) near Tamarac, FL, as compared to the most southern sampling sites (ψ = 0.0-0.37).  Bullseye snakehead eDNA estimated occurrence rates in the middle region increased between 2016 (0.28 [95% CI 0.03-0.94]) and 2017 (0.66 [95% CI 0.24-0.98]), potentially reflecting eDNA detections related to a growing or expanding population.  Bullseye snakehead eDNA was detected at low concentrations on the northern and eastern borders of Everglades National Park, which is an important conservation area and UNESCO World Heritage Site. Despite extensive sampling via electrofishing, no bullseye snakeheads were visually detected in several locations that yielded positive eDNA samples.  It is unclear whether eDNA was transported through flowing water or another vector. To date, collection records for this species are confined to urban canals; however, bullseye snakehead may use the interconnected system of canals to disperse to natural conservation areas, such as Everglades National Park, Big Cypress National Preserve and Water Conservation Areas, where it may impact native species via predation and competition.

Tags: environment, environmental-dna, everglades, invasive-species, non-invasive-monitoring, occupancy-estimate, range-delimitation, southern-florida, usgs-5cd331f3e4b09b8c0b7a5d62
Organization: Department of the Interior
Surficial geology of the Southwest Principal Aquifers (SWPA) study

This is a 100-meter cell resolution raster dataset consisting of 1:750,000-scale surficial geology 
for California and 1:500,000-scale for Nevada, and parts of Utah, Colorado, New Mexico, and 
Arizona.  This data set was aggregated from a compilation of geologic maps of the Southwest 
Regional GAP Analysis Project (ReGAP) along with California geology and the very southern 
portion of Oregon and Idaho geology.

Tags: arizona, california, colorado, geology, geoscientificinformation, inlandwaters, nevada, new-mexico, southwest, usgs-f1a84b90-50a7-4a42-9a1c-71d86818f7dd, utah
Organization: Department of the Interior
Watershed Pairing of Sub-Basins within Smith Canyon Watershed using a Hierarchical Clustering Approach - U.S. Geological Survey data release

The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design. This can be addressed through the application of a paired watershed approach, allowing for comparison between treatment and control watersheds. We developed and applied a statistic-based hierarchical clustering analysis for watershed pairing within an experimental landscape consisting of numerous superficially structurally-similar sub-basins to address this concern.
Our three-step research approach follows:
1) We construct a comprehensive spatial database consisting of various biophysical, structural, and modeled hydrologic data for each watershed.
2) We apply a correlation analysis to reduce the dimensionality of the spatial datasets and select specific spatial variables using a mixed quantitative and qualitative approach.
3) We complete hierarchal clustering analyses to group watersheds based on their spatial properties.
This data release consists of three primary products, 1) a vector shapefile, 2) an R software script, and 3) a Google Earth Engine (GEE) script. The vector shapefile displays the selected study sub-basins present within Smith Canyon Watershed. Within the vector shapefile, we included attribute information for each of the spatial variables included in the spatial database as well as the hierarchical cluster designation for the primary and secondary clusters. The R software script was used to complete the correlation analysis and hierarchical clustering. The Google Earth Engine (GEE) script was used to produce the mean Normalized Difference Vegetation Index (NDVI) image product.

Tags: arizona, biota, correlation-analysis, hierarchical-clustering, paired-watersheds, patagonia, restoration, santa-cruz-county, spatial-database-development, united-states, usgs-6089d725d34ef6cfc4a88f38
Organization: Department of the Interior
Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar point-cloud data (LAS)

Binary point-cloud data were produced for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virginia, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors.

Tags: 2012, altimetry, bathymetry-and-elevation, cessna-206, cessna-310, delaware, delmarva-peninsula, dem, dhigh, digital-elevation-model, digital-elevation-models, distributions, dlow, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, dune-crest, dune-toe, elevation, extratropical-cyclone, fire-island, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, long-island, maryland, new-york, north-carolina, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, post-hurricane-sandy, remote-sensing, shoreline, topographic-mapping, topography, united-states, usgs-9c8d382e-1659-4ae9-a382-33efda949d9a, virginia
Organization: Department of the Interior
Airborne geophysical survey: Arivaca-Oracle, Arizona

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, arivaca, arizona, az, f04019-pima, f04021-pinal, f04023-santa-cruz, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, oracle, residual-magnetic-field, total-field, twin-buttes, united-states, usgs-d76a656c-7ab6-4fdd-800a-3942f095f34e
Organization: Department of the Interior
Processed Continuous Resistivity Profiles Collected in the Neuse River, April 20, 2004

The Neuse River Estuary in North Carolina is a broad, V-shaped water body located on the southwestern end of Pamlico Sound. This estuary suffers from severe eutrophication for which several water quality models have recently been developed to aid in the management of nutrient loading to the estuary. In an effort to help constrain model estimates of the fraction of nutrients delivered by direct ground-water discharge, continuous resistivity profile (CRP) measurements were made during the spring of 2004 and 2005. CRP is used to measure electrical resistivity of sediments, a property that is sensitive to difference in salinity of submarine ground water. The 2004 and 2005 surveys used floating resistivity streamers of 100 m and 50 m respectively. The depth penetration of the streamers is approximately 20% of the streamer length which translates to approximately 20-25 m with the 100 m streamer and 12-14 m with the 50 m streamer. These data were processed using AGI's EarthImager 2D software. CRP data enables the mapping of the extent and depth of the fresher ground water within the estuary.

Tags: cmgp, coastal, coastal-and-marine-geology-program, continuous-resistivity-profiling, crp, ground-water, image-collections, marine-resistivity, neuse-river, north-america, north-carolina, of-2005-1306, open-file-report, pamlico-sound, submarine-ground-water, u-s-geological-survey, united-states, usgs, usgs-382098bd-d4b0-406e-811b-0550d0223aa9, woods-hole-science-center
Organization: Department of the Interior
LANDFIRE 2023 Fuel Vegetation Cover (FVC) HI

LANDFIRE's 2023 Update (LF 2023) Fuel Vegetation Cover (FVC) product represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. In LF 2023, vegetation products are created through an image-based process (within the Conterminous United States (CONUS)) that assesses canopy structure (Forest Canopy Height (CH) and Cover (CC)). EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance and fuel products in LF 2023 were created with LF 2016 Remap vegetation in non-disturbed areas. 
To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release).  
When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://landfire.gov/data/lf2023.

Tags: biota, evc, existing-vegetation-cover, fires, fuel-vegetation-cover, fvc, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-673bb4fed34ee39d4683a65f
Organization: Department of the Interior
Navigation data from Research Vessels Weatherbird II and Bellows collected within West Florida Shelf during July and August 2013

The United States Geological Survey (USGS) is studying the effects of climate change on ocean acidification within the Gulf of Mexico; dealing specifically with the effect of ocean acidification on marine organisms and habitats. To investigate this, the USGS participated in cruises on the West Florida Shelf and northern Gulf of Mexico regions aboard the research vessel (R/V) Weatherbird II or Bellows, ships of opportunity led by Dr. Kendra Daly, of the University of South Florida (USF) in July and August, 2013. Cruises left from and returned to Saint Petersburg, Florida, but followed different routes. The USGS collected geochemical data pertaining to pH, dissolved inorganic carbon (DIC), total carbon dioxide (TCO2), and total alkalinity (TA) in discrete samples at various depths from predetermined stations. Discrete surface samples were also taken, while in transit, during both cruises.

Tags: bathypelagic, carbon-flux, environment, epipelagic, florida, geochemistry, geoscientificinformation, marine-chemistry, marine-geology, mesopelagic, ocean-acidification, ocean-chemistry, ocean-surface, oceans, pco2, ph, salinity, temperature, total-carbon, united-states, usgs-eb1232a8-86a9-40e7-a6e8-fc2fae47cf8a, west-florida-shelf
Organization: Department of the Interior
Electrical Resistivity Tomography Data along the Little Colorado River near Leupp, AZ 2019

The Little Colorado River alluvial aquifer near Leupp, Arizona was investigated as a possible source of irrigation water for the Leupp and Birdsprings Chapters of the Navajo Nation. The physical, chemical, and hydraulic characteristics of the alluvial aquifer were studied using geophysical surveys, installation of observation wells, water-level measurements, chemical analyses, groundwater pumping simulations, and review of previous investigations. Geophysical surveys and well borings were used to measure the thickness of the aquifer. Geophysical surveys included Electrical Resistivity Tomography (ERT) to better define the alluvial channel of the Little Colorado River near Leupp.
ERT is a commonly used electrical geophysical technique for investigating the subsurface of the Earth. In this study it was tested in two separate areas to determine how effective the technique would be for determining the thickness of the alluvial sediments along the LCR. An Advanced Geosciences Inc. Supersting R8TM multi-channel resistivity/IP meter with a SwitchBox56® was used for the DC resistivity survey and all DC resistivity survey data was modeled using Advanced Geosciences Inc. Earthimager 2D software.
For each survey line, 56 electrodes were placed on the ground with a spacing of 5 meters (except Line MB4 had a spacing of 6 meters) for the initial survey segment and when the segment was completed then the first 28 electrodes of the survey were moved to the end of the survey line in a roll-along technique. The survey line can be extended indefinitely in a leap-frog fashion even though each segment is only 56 electrodes at a fixed spacing of 5 meters. Resistivity measurements were made in different arrangements or arrays of electrodes, and for this survey dipole-dipole and strong-gradient arrays were used. For both array types, an electrical current is transmitted into the ground, and the resulting potential differences are measured at the surface (Sharma, 1997). Layers within the Earth that are electrically conductive or resistive will deflect or distort the normal potentials.

Tags: arizona, arizona-water-science-center, electrical-resistivity-imaging, electrical-resistivity-tomography, environment, geophysics, groundwater, hydrogeology, leupp, little-colorado-river, navajo-nation, usgs-62d8338fd34e83b67d134f73
Organization: Department of the Interior
Western bumble bee predicted occupancy and detection probability rasters for the western continental United States from 1998 to 2018

These data represent occupancy estimates for western bumble bee across the western continental United States and the spatial variation in detection probabilities that occur during bumble bee surveys. This product contains five raster layers (appearing as separate bands in a multi-band raster). The first two bands represent the predicted occupancy of western bumble bee in 1998 and 2018. We modeled western bumble bee occupancy as a function of: latitude, longitude, elevation, year, and land cover. The last three bands represent the spatial variation in detection probabilities predicted to occur for surveys conducted across the western United States on three dates (May 15, July 15, and September 15). We modeled detection probabilities as a function of: land cover, bloom date (the date at which floral resources become available), days since bloom initiation, and the interaction between bloom date and days since bloom. Further details on the creation of this product are described in: Graves, T.A., Janousek, W.M., Gaulke, S.M., Nicholas, A.C., Keinath, D.A., Bell, C.M., Cannings, S., Hatfield, R.G., Heron, J.M., Koch, J.B., Loffland, H.L., Richardson, L.L., Rohde, A.T., Rykken, J., Strange, J.P., Tronstad, L.M., and C.S. Sheffield. 2020. Western bumble bee: declines in the continental United States and range‐wide information gaps. Ecosphere, 11(6), p.e03141. https://doi.org/10.1002/ecs2.3141 This supports pre-listing science for species under consideration by the U.S. Fish and Wildlife Service.

Tags: arizona, biota, bombus-occidentalis, california, colorado, detection-probability, ecosystems, idaho, kansas, montana, nebraska, nevada, new-mexico, north-america, north-dakota, occupancy-probability, oregon, south-dakota, united-states, usgs-60218782d34e31ed20c869ba, utah, washington, western-bumble-bee, wildlife-biology, wyoming
Organization: Department of the Interior
Elevation and Pebble Count Data for 5 New Sites in the Glaciated Setting of Pennsylvania and Southern New York and StreamStats Drainage Areas for 70 sites in Pennsylvania, 2016

This dataset contains elevation and pebble count data for 5 new sites located at streamflow-gaging stations in the glaciated setting of Pennsylvania and southern New York.  Sites were surveyed in 2016 and the elevation data represent topographic features (bankfull, thalweg, etc.) along longitudinal and cross sectional areas of stream reaches.  The pebble counts were collected within each cross section.  Drainage areas from StreamStats for 70 streamflow-gaging stations in Pennsylvania are also provided.

Tags: bankfull, channel-geometry, glaciated, new-york, pennsylvania, regional-curves, regression-relations, usgs-5ad7aed7e4b0e2c2dd261325
Organization: Department of the Interior
LANDFIRE Remap Fuel Vegetation Cover (FVC) Micronesia

The LANDFIRE (LF) 2016 Remap (Remap) Fuel Vegetation Cover (FVC) represents a modified pre-disturbance version of the Existing Vegetation Cover (EVC) product from previous LF versions. LF Remap EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. To translate continuous EVC values into fuel model assignments, EVC values are binned to correspond with the bins from previous LF versions. FVC leverages fuel transition assignments related to disturbed areas by re-establishing  pre-disturbance vegetation and is developed using the full suite of LF vegetation releases, plus the most recent 10 years of disturbance data. FVC is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, evc, existing-vegetation-cover, federated-states-of-micronesia, fires, fuel-vegetation-cover, fvc, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, micronesia, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6ad36c8a-d245-442c-9e65-53eba35075d9
Organization: Department of the Interior