AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2021 Site 0647 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-6569e5c1d34e6dde1a4ae14e, wetland, wetland-restoration
Organization: Department of the Interior
Groundwater-quality data in the Kern County Domestic-Supply Aquifer Study Unit, 2022: Results from the California GAMA Priority Basin Project

The U.S. Geological Survey collected groundwater samples from 33 wells used for domestic and small system drinking water supplies in Kern County, California in 2022. The wells were sampled for the Kern County Domestic-Supply Aquifer Study Unit of the State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. The study unit was defined by the extent of the Kern County subbasin of the San Joaquin Valley groundwater basin. The study unit was divided into 40 grid cells and one or two domestic or small system well were sampled in to represent 29 of the grid cells; the remaining 11 grid cells had no accessible wells. Groundwater levels were measured in 11 of 33 wells. Table 1 contains sample and site information. Groundwater samples were analyzed for field water-quality parameters, microbial indicators, volatile organic compounds, pesticides and pesticide degradants, nutrients, major ions and trace elements, hexavalent chromium, perchlorate, per- and polyfluoroalkyl substances (PFAS), stable isotopes, and groundwater age tracers. Results from these analyses are reported in Tables 2 through 8. Tables 9 and 10 report results from quality control samples. This data release contains two supplementary tables that define abbreviations (Table 11) and provide additional context for the information presented in Tables 1 through 10 (Table 12). A zipfile is included containing geospatial data (study unit boundaries, grid cell boundaries, site locations) as shapefiles.

Tags: california, environment, geoscientificinformation, groundwater, groundwater-quality, kern, san-joaquin, usgs-63ddaaffd34e9fa19a9b5126, water-quality
Organization: Department of the Interior
Marine Arctic point distribution of Prowfish (Zaprora silenus) Jordan, 1896

Region(s) of distribution of Prowfish (Zaprora silenus) Jordan, 1896 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where reliable data are available. The data were clipped to show only the marine distribution areas although some species also may have an inland presence.

Tags: alaska, arctic, beaufort-sea, bering-sea, bering-strait, biogeography, chukchi-beaufort-lease-area, chukchi-sea, distributions, ecology, fish, jordan-1896, marine, marine-fishery-resources, northeast-russia, northwest-canada, northwest-territories, nunavut, prowfish, u-s-exclusive-economic-zone, usgs-58812e9de4b00a062356ffeb, yukon, zaprora-silenus
Organization: Department of the Interior
California Mule Deer Mendocino Winter Range

The Mendocino mule deer herd complex is comprised of three overlapping black-tailed deer (Odocoileus hemionus columbianus) administrative herds, including Mendocino, Clear Lake, and Alder Springs. Mendocino black-tailed deer exhibit variable movement patterns and strategies, including traditional seasonal migrants, full-time residents, and multi-range migrants. Migrants move between seasonal ranges from a multitude of lower elevation areas within the North Coast Range in winter to higher elevation summer ranges (fig. XXX). Local biologists predict high-use winter ranges throughout both foothill slopes and valley bottoms. Female deer of the Mendocino herd complex exhibit both short-term (seasonal/annual) and long-term (multi-generational) fidelity to their summer ranges (Bose and others, 2017). Population density estimates in 2011 and 2012 based on fecal DNA pellets indicated exceptionally high deer densities on productive summer ranges (50.75 deer/km2; Lounsberry and others, 2015). However, the population was declining strongly at the time of study due to low adult survival, including of prime-aged females (Marescot and others, 2015). Survival rates were lower than typically observed for mule deer populations across their range (Forrester and Wittmer, 2013). Predation from black bears (Ursus americanus) and coyotes (Canis latrans) was the primary cause for low annual survival of fawns (Forrester and Wittmer, 2019) while predation from pumas (Puma concolor) was the foremost cause of adult female mortality (Marescot and others, 2015), often in areas deemed less familiar to the individual mule deer (Forrester and others, 2015). Puma kill rates of mule deer in the study area were the highest reported across their range (Cristescu and others, 2022), likely due to high rates of kleptoparasitism from black bears (Elbroch and others, 2015; Allen and others, 2021). More recent research from CDFW was directed at the collection of DNA from fecal pellets to update population density estimates (CDFW, 2015) and to determine population response to catastrophic wildfire (CDFW, 2019; CAL FIRE, 2021). Habitat use of mule deer (Bose and others, 2018) and their predators (Cristescu and others, 2019) in the area is well understood and most of the habitats occupied by the Mendocino herd complex are protected and not at risk of development or fragmentation. However, the risk of catastrophic wildfire and climate changed induced landscape scale changes exist with the consequences unknown. 
These mapping layers show the location of the winter range for mule deer (Odocoileus hemionus) in the Mendocino population in California. They were developed from 65 winter sequences collected from a sample size of 45 animals comprising GPS locations collected every 1-13 hours.

Tags: animal-behavior, biota, california, mendocino, migration-organisms, migratory-species, united-states, usgs-6584b497d34eff134d42d9c6
Organization: Department of the Interior
DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Fire Island, NY, 2010–2011

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, biota, charadrius-melodus, cmgp, coastal-and-marine-geology-program, coastal-habitat, ecology, environment, fire-island, fire-island-national-seashore, foraging-ecology, geographic-information-systems, geography, geomorphology, geospatial-analysis, geospatial-datasets, gis, long-island, mean-high-water, mhw, new-york, north-america, ny, piping-plovers, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc924e4b0941bde4fc604, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Island of Hawaii forest bird malaria infection data 2001-2005

This data publication contains information collected as part of a field, laboratory, and modeling effort aimed at uncovering ecological drivers of avian malaria transmission and impacts on Hawaiian honeycreepers across an altitudinal gradient on the eastern flank of Mauna Loa and Kilauea volcanoes. Forest bird banding data and blood samples for diagnosis of Plasmodium relictum, the agent responsible for avian malaria in Hawaii, were collected from 2001 - 2005 at nine sites ranging 25 to 1,800 m above sea level. This data file reports morphometric data, age, sex, molt status and diagnostic results for avian malaria from native and non-native forest birds that were captured with mist nets at the nine study sites. Related data describing site and sampling coordinate data, mosquito capture data, mosquito avian malaria infection data, and point-transect distance sampling data is available at https://doi.org/10.5066/P95LVJIC. This XML describes one tabular CSV file: Banding Diagnostics Merge Final.CSV.

Tags: avian-malaria, biota, hawaii-island, hawaii-volcanoes-national-park, hawaii-volcanoes-national-park-olaa-tract, hawaiian-honeycreepers, island-of-hawaii, kamehameha-schools-bishop-estates-keauhou, malama-ki-forest-reserve, nanawale-forest-reserve, native-species, parasite, parasites, plasmodium-relictum, puu-kaliu, usgs-671c19e5d34efed56210f490, usgs-ema-low-fish-and-wildlife-disease, vector-borne-disease, volcano, waiakea-forest-reserve, wildlife-disease
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2005

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not water class (class 0) and a no data class (class 9).
This Child Item includes the monthly DSWEmod images for 2005. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod images from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod imagery (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ac68d34e86b938848972
Organization: Department of the Interior
Districts for 104th Congress

This is a polygon coverage of 104th Congressional District boundaries
obtained from the U.S. Bureau of the Census.  The 103rd Congress was
the first Congress that reflected the reapportionment and delineation
of congressional districts based on the 1990 census.  The next (104th)
Congress reflects redelineation of districts that occurred for six
states: Georgia, Louisiana, Maine, Minnesota, South Carolina, and
Virginia.
		
Congressional Districts
U.S. House of Representatives
Census
TIGER/Line Files

Tags: 104th-congressional-district-boundaries, environment, geoscientificinformation, inlandwaters, usgs-02f501aa-100e-4c0e-838f-86ac50a85236
Organization: Department of the Interior
Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, August 2022

These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, Minnesota. A LAS dataset was used to create DEMs of 10 meter (m; 32.8084 feet) and 1 m (3.28084 feet) resolution, covering the approximately 1.75 square kilometer surveyed area. Average point spacing of the LAS files in the dataset are as follows:  lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected August 22-23, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected August 23, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b52eecd34e70357a2adc00, xyz
Organization: Department of the Interior
EC_Q02.TIF - U.S. Atlantic East Coast EEZ GLORIA sidescan-sonar data mosaic (2 of 23) (ACEA, 50 m, Clarke1866)

From February to May 1987 the U.S. Geological Survey (USGS) conducted five cruises to cover the U.S. Atlantic Continental Margin Exclusive Economic Zone (EEZ) seaward of the continental shelf edge, and from the Canadian border southward to the northern Blake Plateau off Florida. As in earlier EEZ reconnaissance surveys, the USGS utilized the GLORIA (Geological LOng-Range Inclined Asdic) sidescan-sonar system to complete the geologic mapping. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. Twenty-three digital mosaics of a 2 degree by 2 degree (or smaller) area with a 50-meter pixel resolution were completed for the U.S. Atlantic Continental Margin region.

Tags: acoustic-receivers, acoustic-reflectivity, atlantic-ocean, backscatter, baltimore-canyon, blake-escarpment, blake-plateau, blake-ridge, carolina-slope-and-rise, carolinian-ecoregion, charleston-bump, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, continental-margin, continental-rise, continental-shelf, continental-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, florida-slope, geological-long-range-inclined-asdic, georges-bank, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, gulf-of-maine-bay-of-fundy-ecoregion, hatteras-canyon, hendrickson-canyon, hudson-canyon, image-mosaics, imagerybasemapsearthcover, marine-geology, marine-geophysics, marine-oceanic, mid-atlantic-region, norfolk-canyon, ocean-bank-plateau, ocean-gt-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-caribbean-sea, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-caribbean-sea-gt-bahamas, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-georges-bank, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-gulf-of-maine, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, scotian-shelf-ecoregion, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-atlantic-coast, u-s-eastcoast, u-s-geological-survey, usgs, usgs-08a64840-7d0f-4295-8164-5de92563247d, veatch-canyon, virginian-ecoregion, whsc, whsc-cruise-identifier-frnl87-1, whsc-cruise-identifier-frnl87-2, whsc-cruise-identifier-frnl87-3, whsc-cruise-identifier-frnl87-4, whsc-cruise-identifier-frnl87-5, whsc-serial-number-87004, whsc-serial-number-87008, whsc-serial-number-87010, whsc-serial-number-87015, whsc-serial-number-87018, woods-hole-science-center
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0319 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 six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six 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-65414fbfd34ee4b6e05bce42, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0226 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 six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six 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-64dfbb62d34e5f6cd553c0a0, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Pacific Coast - 1998

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 1998. 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: california, coastal-wetlands, conterminous-united-states, fractional-cover, oregon, pacific, unvegetated, unvegetated-to-vegetated-ratio, usgs-66e1d06bd34ecba8b8677878, uvvr, vegetation, washington, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior