AndreaBozzo/ceres-open-data-index huggingface dataset:
shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Rockaway Peninsula, NY, 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, cmgp, coastal-and-marine-geology-program, coastal-processes, gateway-national-recreation-area, geomorphology, geospatial-analysis, geospatial-datasets, long-island, new-york, north-america, ny, oceans, rockaway-peninsula, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc97be4b0941bde4fc66e, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geospatial bathymetry datasets for Middle Branch Reservoir, New York, 2017

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Middle Branch Reservoir during July and August, 2017. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, land-surveying, middle-branch-reservoir, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58d12d34ed3698f92dd19
Organization: Department of the Interior
Species distribution model (SDM) for Plantago ovata in the Mojave Desert

Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information on species attributes, SDMs facilitate holistic ecosystem restoration by enabling practitioners to identify diverse, resilient assemblages of native species. This project develops SDMs for native species of fundamental ecosystem importance in order to guide restoration of Mojave Desert landscapes. The dataset contained herein provides an SDM for Plantago ovata within its Mojave Desert range based on known occurrences.

Tags: arizona, biogeography, biota, california, habitats, maps-and-atlases, mojave, native-plant-materials-development, native-species, nevada, species-distribution-model, usgs-6201afd1d34e622189dad572, utah
Organization: Department of the Interior
Everglades Headwaters National Wildlife Refuge and Conservation Area: Areas Not Considered

During the planning process for Everglades Headwaters National Wildlife Refuge (NWR) and Conservation Area, certain areas were removed from consideration for fee-title or less-than-fee-title acquisition, including incorporated and developed areas and areas that did not to meet the U.S. Fish and Wildlife Service (USFWS) criteria for additional conservation.

Tags: biota, central-florida, everglades, everglades-headwaters-national-wildlife-refuge, florida, land-use-change, natural-resource-management, usgs-64f48ad0-ec24-4dec-8664-1b55f308b4bc
Organization: Department of the Interior
Relative humidity data for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset represents data collected at 120 quadrat locations (points) within 12 selected cedar glades and contains measurements of relative humidity (percent) at the ground surface for each point. Measurements were obtained on the following dates (which correspond to the fields in the dataset): February 6, 2012; March 5, 2012; April 2, 2012; April 23, 2012; May 25, 2012; June 21, 2012; July 19, 2012; August 23, 2012; September 27, 2012; November 5, 2012; December 17, 2012; January 21,2013; February 18, 2013; March 19, 2013; April 15, 2013; and May 13, 2013. Points classified into four groups (identified by the field "Group") and were visited on a rotating sampling schedule, such that each group of points was visited roughly once every four months. Relative humidity (percent) at ground surface was measured using a Taylor 1523 indoor/outdoor digital thermometer and hygrometer (Taylor Inc., Oak Brook, IL, USA), placed on the ground surface. One relative humidity measurement was taken at each point. Missing values (points not measured on a given day) are indicated by the value -99999.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: climatologymeteorologyatmosphere, environment, geoscientificinformation, usgs-55afcd16e4b09a3b01b51dd7
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0033 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-5b5f5136e4b006a11f66e954, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016 and 2018 Site 0293 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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. This dataset consists of a matrix of five land-water products (2005, 2008, 2012, YYYY and 2018).  The resulting matrix has 32 possible classes defined by the combination of land and water categories on those five dates.

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-611f12c4d34e40dd9c01d14f, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 6299 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-5b5f549ee4b006a11f66ebaf, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Geospatial Navigational Data Associated with Chirp Sub-Bottom Profiles Collected During USGS Field Activity Numbers 2021-326-FA and 2022-326-FA in 2021 and 2022 from Duck, North Carolina

In June/December 2021 and July 2022, the U.S. Geological Survey (USGS) and U.S. Army Corps of Engineers, Engineer Research and Development Center (USACE-ERDC) conducted repeat, nearshore geologic assessments, including bathymetric mapping, near Duck, North Carolina (NC). This work was performed in support of efforts to map the shoreface, characterize stratigraphy, and investigate changes in seafloor elevations near the USACE Field Research Facility and to measure the co-evolution of the morphology and geology of the shoreface before/after a storm and during recovery. Geophysical data were collected as part of the USGS Coastal Sediment Availability and Flux and DUring Nearshore Event eXperiment (DUNEX) projects. The data release associated with this metadata record serves as an archive of high-resolution chirp sub-bottom trace data and navigation files. Shapefiles (.shp) provided in the data release represent point and polyline vector datasets of Field Activity Numbers (FANs) 2021-326-FA and 2022-326-FA chirp sub-bottom profile tracklines, start of lines, and 1,000-shot-interval locations.

Tags: 1000-shot-interval-locations, 2021-326-fa, 2022-326-fa, barrier-island-mapping, chirp, coastal-processes, geology, geoscientificinformation, geospatial-datasets, location, marine-geology, navigational-data, north-atlantic, north-carolina, oceans, seismic-reflection, start-of-line-locations, sub-bottom-profiling, trackline-locations, united-states, usgs-847b70ff-e331-4c70-a11e-7a299c84dcaa
Organization: Department of the Interior
Ethyl Ether Plume Boundaries

This dataset describes plume boundary extents for ethyl ether in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin for various time intervals between 2000 - 2018.

Tags: groundwater, groundwater-quality, sauk, usgs-5f0c827882ce21d4c402eea5, water-quality, wisconsin
Organization: Department of the Interior
Clusters of monthly streamflow values with similar temporal patterns at 555 HCDN (Hydro-Climatic Data Network) sites for the period 1981 to 2019

This data release identifies 555 Hydro-Climatic Data Network (HCDN) streamgages in the conterminous United States during the period 1981-2019 which were grouped according to similarity in their temporal patterns of mean monthly streamflow.

Tags: cluster-analysis, gages-ii, hydro-climatic-data-network, inland-waters, streamflow, streamflow-patterns, streamgages, usgs-6192bdc6d34eb622f68e2def
Organization: Department of the Interior
Imputedsalt_PanHa

The dataset entitled “imputedsalt_PanHa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations). The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms or even dropping of whole data classes by switches in ‘covardr2formodel.R) are reflected in these data and they are a step removed as it were from the “raw” data in the ‘covardr/’ directory.

Tags: estuary, florida-panhandle, gulf-of-mexico, modeling, salinity, usgs-647104e0d34e4e58932d2b3c
Organization: Department of the Interior
An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Gulf of Mexico Coast - 2009

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of the 1) unvegetated fraction, 2) vegetated fraction, 3) water fraction and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the year 2009. Additionally, multi-year average values of vegetated ratio, its standard deviation and a UVVR based on the annually-averaged vegetated ratio are provided for the coastal wetlands of the contiguous United States.

Tags: alabama, coastal-wetlands, conterminous-united-states, florida, fractional-cover, gulf-of-mexico-coast, louisiana, mississippi, texas, unvegetated, unvegetated-to-vegetated-ratio, usgs-66e1cfbed34ecba8b8677839, uvvr, vegetation, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Storm event loads, hydrologic metrics, and precipitation characteristics for urban and forested reference watersheds in Clarksburg, Maryland (2010-2012)

This dataset describes storm event loads (sediment and total particulate phosphorus), hydrologic metrics, and precipitation characteristics for storm events occurring between 2010-2012. Loads were estimated for four watersheds included in a paired watershed study; a forested reference watershed and three urban watersheds with centralized or decentralized stormwater management in Clarksburg, Maryland USA or Fairfax County, Virginia USA. Storm event loads were estimated from surrogate relations between turbidity and the water quality parameter of interest. Hydrologic metrics were determined for each storm event using the USGS stream gage instantaneous discharge record for each watershed. Precipitation event characteristics were determined from rain gage data obtained from Montgomery County Department of Environmental Protection.

Tags: clarksburg, dataset, hydrographic, maryland, montgomery-county, phosphorus, streamflow, surface-water-non-marine, suspended-material-water, usgs-5903a535e4b022cee40c6c56, water-quality
Organization: Department of the Interior
Radiometric thermal aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in Brunswick Maryland on October 22, 2019

These digital images were taken over an area of the Potomac River in Brunswick, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 22, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a FLIR Vue Pro R 640 13mm radiometric thermal camera that provides temperature data embedded in every pixel. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original images from FLIR Vue Pro R 640 13mm radiometric thermal camera of the Potomac River in Brunswick, Maryland.

Tags: 3dr-solo-quadcopter, aerial-images, aerial-photography, airborne-imagery, brunswick, drone, flir, flir-vue-pro-r-640-13mm, geoscientificinformation, geospatial-datasets, ground-control-point, image-collections, jpeg-images, location, low-altitude-aerial-imagery, maryland, photographs, photos, potomac-river, radiometric-thermal, remote-sensing, targets, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5e138790e4b0ecf25c53b3e2
Organization: Department of the Interior