AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2021 Site 2493 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-6569e63fd34e6dde1a4ae1b0, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 2418 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-6569e63ed34e6dde1a4ae1ae, wetland, wetland-restoration
Organization: Department of the Interior
Traditional and geometric morphometric data describing wild and artificially reared cisco (Coregonus artedi) from lakes Huron and Ontario

These data describe morphometric (body shape) measurements of wild and artificially reared (i.e., raised in a laboratory or fish hatchery) cisco (Coregonus artedi) from lakes Huron and Ontario in the Laurentian Great Lakes. Specifically, this data release includes traditional morphometric data (i.e., measurements of fish specimens) describing wild and artificially reared cisco from Lake Huron, as well as geometric morphometric data (i.e., landmarks placed on images of fish) describing cisco head shapes for wild and artificially reared cisco from both lakes Huron and Ontario. Artificially reared individuals from Lake Huron were raised at the U.S. Geological Survey Great Lakes Science Center in Ann Arbor, MI, USA, and one family of offspring were split among three rearing temperature treatments. Artificially reared individuals from Lake Ontario were raised at the Tunison Laboratory of Aquatic Science in Cortland, NY, USA. These data were collected by the authors on this data release from 2017-2023 and used to analyze the impacts of artificial rearing on cisco body shapes, with a focus on head shapes.

Tags: biota, inlandwaters, lake-huron, lake-ontario, meristics, morphology-biological, usgs-65afc777d34ef34c3506e219
Organization: Department of the Interior
Compilation of vitrinite reflectance data for the Southwestern Wyoming Province, Wyoming, Colorado, Utah

This data release is a compilation of vitrinite reflectance (Ro) data from the Southwestern Wyoming Province in Wyoming, Colorado, and Utah. The data includes about 1,200 Ro measurements from wells drilled for oil and gas exploration and production, coal test holes, and outcrop sections.

Tags: colorado, geoscientificinformation, great-divide-basin, greater-green-river-basin, green-river-basin, hoback-basin, rocky-mountain-region, sand-wash-basin, southwestern-wyoming-province, thermal-maturation, thermal-maturity, usgs-65aecc42d34ef34c3506d6f0, utah, vitrinite-reflectance-ro, washakie-basin, well-drilling, wyoming
Organization: Department of the Interior
Cenozoic Foraminiferal Collections of Weldon Rau in Oregon and Washington, USA

The original compilation of this data is in Rau (2004) (https://www.dnr.wa.gov/Publications/ger_dr4_pacific_nw_foram_collections.zip), where most samples are located by Township, Range, and Section relative to the Public Land Survey System. For this database, Snavely's original field sheets and notebooks were used to calculate latitude and longitude of the samples and the results were combined with Rau (2004) to produce a geodatabase in ArcGIS. Latitude and longitude are reported in the North American Datum of 1927, however the point feature class has been reprojected to the North American Datum of 1983 UTM zone 10N. The database includes information on 3,418 foraminiferal samples mostly gathered from outcrops during field work for geologic mapping, although there are also samples from exploration wells (both onshore and offshore) and some auger holes. Because this is a legacy database that was created from historic field sheets and field notes, it contains data gaps labeled as null values, including a few samples with no location data, which are included for completeness. Unlocated samples do not have a latitude and longitude because the location on a field sheet could not be determined.

Tags: biostratigraphy, faunal-and-floral-census-microscopic, fossils, geology, geospatial-datasets, micropaleontology, oregon, paleontology, sedimentology, strait-of-juan-de-fuca, stratigraphy, usgs-65aec8b0d34ef34c3506d6d5, washington
Organization: Department of the Interior
Foundational Geospatial Layers for South Carolina StreamStats 2024

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey updated the foundational geospatial layers for the South Carolina StreamStats web application (https://water.usgs.gov/osw/streamstats/), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset presents the digital elevation model, lidar-derived flow direction, flow accumulation,  and percent basin slope raster data layers used for analysis in StreamStats. It also includes the streamline vector data used to hydro-enforce the raster data layers.

Tags: digital-elevation-models, elevation, environment, geoscientificinformation, geospatial-datasets, hydrology, inlandwaters, lidar, runoff, streamflow, usgs-65aeb6f3d34ef34c3506d600
Organization: Department of the Interior
Sediment chemistry data from sediment traps deployed in the San Juan River watershed, Four Corners USA, 2021-2022, 49 element results

Sediment traps were deployed in tributaries to the San Juan River during 2021 and 2022.  These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September.  Because of the rural nature of the watershed, sediment traps were collected every 3 weeks so the sediment collected is a composite of that time period.  The date listed is the date the trap was collected.   This dataset includes the chemical concentrations of the sediment samples. Major ions are reported in weight percentage, while all other elements are reported in parts per million. Sediment samples in this dataset are digested using a mixture of hydrochloric, nitric, perchloric, and hydrofluoric acids at low temperature. The resulting solution is analyzed by ICP-OES and ICP-MS.  
The 49 element dataset includes aluminum, calcium, iron, potassium, magnesium, sodium, sulfur, silicon, titanium, silver, arsenic, barium, beryllium, bismuth, cadmium, cerium, cobalt, chromium, cesium, copper, gallium, hafnium, indium, lanthanum, lithium, lutetium, manganese, molybdenum, niobium, nickel, phosphorous, lead, rubidium, antimony, scandium, selenium, tin, strontium, tantalum, terbium, tellurium, thorium, thallium, thulium, uranium, vanadium, tungsten, yttrium, ytterbium, zinc, and zircon.

Tags: arizona, biota, chemical-analysis, colorado, four-corners, geochemistry, new-mexico, san-juan, sedimentology, unconsolidated-deposits, usgs-65adb5b6d34ef34c3506d0f2, utah
Organization: Department of the Interior
Sediment chemistry data from sediment traps deployed in the San Juan River watershed, Four Corners USA, 2021-2022, 60 element results

Sediment traps were deployed in tributaries to the San Juan River during 2021 and 2022.  These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September. Because of the rural nature of the watershed, sediment traps were collected every 3 weeks so the sediment collected is a composite of that time period. The date listed is the date the trap was collected.  This dataset includes the chemical concentrations of the sediment samples. Major ions are reported in weight percentage, while all other elements are reported in parts per million. Samples were fused at 750°C with sodium peroxide and the fusion cake dissolved in a dilute nitric acid. The resulting solution was analyzed by ICP-OES and ICP-MS.  This method was done to include all of the rare earth elements.  Results from this method may differ slightly from the results in the 49-element analysis because of the differences in digestion procedure.
The 60 element dataset includes aluminum, calcium, iron, potassium, magnesium, phosphorous, sulfur, silicon, titanium, silver, arsenic, boron, barium, beryllium, bismuth, cadmium, cerium, cobalt, chromium, cesium, copper, dysprosium, erbium, europium, gallium, gadolinium, germanium, hafnium, holmium, indium, lanthanum, lithium, lutetium, manganese, molybdenum, niobium, neodymium, nickel, lead, praseodymium, rubidium, antimony, scandium, selenium, samarium, tin, strontium, tantalum, terbium, tellurium, thorium, thallium, thulium, uranium, vanadium, tungsten, yttrium, ytterbium, zinc, and zircon.

Tags: arizona, biota, chemical-analysis, colorado, four-corners, geochemistry, new-mexico, san-juan, sedimentology, unconsolidated-deposits, usgs-65adb371d34ef34c3506d0ed, utah
Organization: Department of the Interior
Longitudinal Profile of Kalamazoo River Reference Reaches Between Trowbridge Dam and Allegan, Michigan, 2023

This dataset contains longitudinal profiles of the river bed, water surface, bank tops, and riffle crests along an approximately 15 kilometer (km) reach of the Kalamazoo River between the Trowbridge Dam and Allegan, Michigan (MI). The bed profile and bank and riffle top elevations were derived from an existing digital elevation model (DEM) comprising topographic and bathymetric data for Area 5 of the Kalamazoo River. The DEM was created from topobathymetric aerial lidar data collected in November, 2016, combined with multibeam bathymetric data collected in May, 2017 to fill gaps in the lidar. The river bed profile was drawn from the thalweg (deepest part of the channel). Bank top heights were manually identified from cross-section profiles extracted from the DEM every 100 m along the channel and represent the elevation of the lower bank at each section. Riffle crests were identified manually from the channel bed longitudinal profile as prominent local maxima. The water surface profile was developed from water surface measurements collected with survey-grade global navigation satellite system (GNSS) by USGS staff in June, 2023. For Reference Reach 1, bed slopes calculated between successive riffle tops ranged from 0.028-0.282 percent and the average water surface slope was 0.079. For Reference Reach 2, bed slopes ranged from -0.22-0.183 percent and the average water surface slope was 0.049. For Reference Reach 3, bed slopes ranged from -0.036-0.275 percent and the average water surface slope was 0.059. For Reference Reach 4, bed slopes ranged from -0.135-0.078 percent and the average water surface slope was 0.014. 
Data are provided in an Excel spreadsheet (tabular and graphical) and a CSV file (tabular only). Additionally, shapefiles of the GNSS water surface points and of the channel centerline to which longitudinal distances for all the profiles are referenced are included.

Tags: bathymetry, digital-elevation-models, elevation, geomorphology, geospatial-datasets, great-lakes, inlandwaters, kalamazoo-county-mi, kalamazoo-river-huc-04050003, lidar, sonar-methods, topography, usgs-65aae44dd34ef34c35064be8
Organization: Department of the Interior
Data and Code Release:Technical Assistance Bioassay to Compare Sea Lamprey and Logperch Sensitivity to TFM

Data and code release to evaluate a continuous-flow streamside toxicity test that was conducted with common logperch (Percina caprodes) and larval sea lamprey (Petromyzon marinus) to evaluate the risk posed by 4-nitro-3-(trifluoromethyl)phenol (TFM) sea lamprey control stream treatments to logperch. Logperch are a host to the parasitic glochidia life stage of the federally endangered snuffbox mussel (Epioblasma triquetra). Streams with an extant population of snuffbox must be treated before May 1st to prevent inadvertent take through TFM-related mortality of glochidia-infested fish.
The concentration of TFM required to induce 99.9% mortality of sea lamprey was 6.52 mg/L and the concentration of TFM required to induce 25% mortality of logperch was 10.14 mg/L. Our data show that logperch are not as sensitive as previously demonstrated and may result in the ability to treat streams after the current May 1st restriction. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: aquatic-toxicity-great-lakes-sea-lamprey-invasive-species-logperch, biota, usgs-65a99222d34ebad3f34ceb8d
Organization: Department of the Interior
Daily Streamflow Data of Swift Reservoir Outflow and Selected Diversions from Birch Creek, Pondera County, Montana, January 2020 through December 2022

In 2019, the U.S. Geological Survey (USGS), in cooperation with the Blackfeet Water Department, initiated a multi-year hydrologic investigation of the Blackfeet Indian Reservation. The investigation was designed to increase understanding of the water resources of the Blackfeet Indian Reservation including Birch Creek which forms the southern boundary of the reservation. Streamflow is controlled in the headwaters of Birch Creek through the outflow from Swift Reservoir at Swift Dam. The data included in this data release was provided by the Pondera County Canal and Reservoir Company (PCCRC) and includes Swift Reservoir outflow daily streamflow values and daily streamflow values for three downstream diversions from Birch Creek including the B Canal Diversion, the Kingsbury Diversion, and the Ryan Lauffer Diversion for calendar years 2020-2022.

Tags: canal, dam, ditch, diversion, irrigation, montana, pondera-county, reservoir, streamflow, usgs-65a991ced34ebad3f34ceb82
Organization: Department of the Interior
High-Resolution Bathymetry of the Southern Portion of Lake Calumet, Cook County, Illinois, June 2023

These data are high-resolution bathymetry (lakebed elevation) of the southern portion of Lake Calumet in Cook County, Illinois, acquired from a hydrographic survey  on June 30, 2023. This dataset is provided as American Society for Photogrammetry and Remove Sensing (ASPRS) compressed LAS (*laz) files, a standardized binary format for storing three-dimensional point cloud data as a series of x (longitude), y (latitude), and z (elevation) points and attributes (ASPRS, 2011). This survey utilized a multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an internal navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the lake along overlapping longitudinal survey lines. Data collection software integrated and stored the depth data from the MBES, along with the horizontal position and vertical attitude data of the vessel from the INS in real time. Proprietary computer software was used to post-process bathymetry data from the real-time data files for final export. The northern portion of the lake, characterized by shallower depths, was surveyed using a single-beam echosounder in July 2023; those data are available within this data release but are not included in the compressed LAS files. 
The bathymetric dataset, provided in ASPRS compressed LAS format as "LakeCalumet_MBES_20230630_fullres.laz," represents the data at its full resolution obtained during data collection with minimal cleanup to preserve as much detail as possible. Any edits made to the dataset were focused on removing obvious outliers clearly distinguishable from genuine bathymetric details. Please note that the full-resolution dataset is large and may not be readily viewable without specialized software. A reduced-resolution version of the full dataset was created featuring a nominal 0.5-meter (m) point spacing to enhance accessibility and usability. This downscaled dataset is provided in ASPRS compressed LAS format as "LakeCalumet_MBES_20230630_reducedres.laz."

Tags: bathymetry, bathymetry-and-elevation, chicago, elevation, geoscientificinformation, illinois, imagerybasemapsearthcover, inland-waters, inlandwaters, lake-calumet, location, multibeam, point-cloud, structure, u-s-geological-survey, usgs, usgs-65a9597ed34ebad3f34cea1e, water-depth, xyz
Organization: Department of the Interior
Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States

This data release contains the spatial raster outputs from analyses of summer roost site habitat for each of 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). The included raster data represent the mean suitability for summer roosting habitat for each of the four species (expressed as a numerical value from 0 to 1), the prediction interval (difference between the 5th and 95th confidence intervals), as well as the environmental covariates used to model habitat. All raster data are produced at a spatial resolution of 250 m per pixel. Summer roost site suitability layers were produced using a presence-background modeling approach with the Maxent algorithm. Presence-background modeling compares environmental conditions at locations where a species has been observed (in this case occupied summer roosting sites) to environmental conditions across a study area (background). Background environmental conditions were represented with a suite of raster data hypothesized to influence the suitability for roosting sites. These raster data represented average conditions between the years 2000 and 2020 across the continental United States. Occupied sites were identified from two data sources: U.S. Forest Service, and the North American Bat Monitoring Program (NABat) spanning the years 2000 to 2020. While the observations from NABat are sampled from the continental United States, the U.S. Forest Service observations were obtained only for Regions 8 and 9 in the eastern United States.

Tags: alabama, arkansas, bats, biota, colorado, connecticut, delaware, ecological-niche-modeling, environment, florida, georgia, habitat-suitability-indices, illinois, indiana, iowa, kansas, kentucky, louisiana, main, massachusetts, maxent, michigan, minnesota, mississippi, missouri, montana, myotis-lucifugus, myotis-septentrionalis, myotis-sodalis, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-america, north-carolina, north-dakota, ohio, oklahoma, perimyotis-subflavus, rhode-island, south-carolina, south-dakota, summer, summer-roosts, tennessee, texas, united-states, usgs-65a93d6dd34ebad3f34ce9ac, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Kīpahulu Valley, Haleakalā National Park, Maui Seasonal Distribution and Relative Abundance of the Mosquito Culex quinquefasciatus, 2022-2023

This USGS data release consists of six data sets and accompanying metadata for a year-long study on the seasonal distribution and relative abundance of the southern house mosquito Culex quinquefasciatus in Kīpahulu Valley, Haleakalā National Park, critical habitat for two endangered Maui endemic forest birds. Culex quinquefasciatus is the vector of the avian malaria Plasmodium relictum, a key limiting factor of endemic Hawaiian forest birds. The main components of the study included: (1) adult mosquito monitoring to document the altitudinal distribution, seasonal occurrence, relative abundance, and trapping efficacy of Culex quinquefasciatus (Kīpahulu Valley, Maui, 1 file); (2) stream surveys to determine the larval habitat availability and prevalence of larval mosquitoes (Kīpahulu Valley, Maui, 1 file), (3) characterization of larval habitat (Kīpahulu Valley, Maui, 1 file), (4) egg viability (hatching rate) in naturally occurring Culex quinquefasciatus populations (Kīpahulu Valley, Maui and Volcano, Island of Hawai'i, 2 files) and (5) the geographical coordinates for key localities in the study (Kīpahulu  Valley, Maui and Volcano, Island of Hawai'i, 1 file). The study was conducted by U.S. Geological Survey, Pacific Island Ecosystems Research Center personnel in collaboration with National Park Service, Pacific Island Inventory and Monitoring Network, Haleakalā National Park and Hawai‘i Volcanoes National Park. Studies were conducted in native forests on Maui and the Island of Hawai'i during 2022 and 2023.

Tags: avian-malaria, biota, extinction, haleakal-national-park, hawaii-island, hawaii-volcanoes-national-park, hawaiian-islands, health, incompatible-insect-technique, kauai, kiwikiu, kpahulu-valley, mosquito-monitoring, palikea-stream, usgs-65a878b5d34ebad3f34cc2df, wildlife-disease
Organization: Department of the Interior