AndreaBozzo/ceres-open-data-index huggingface dataset:
BLM Montana Dakotas GRSG ROD ARMPA Livestock Grazing Allocations

Polygons depict Livestock Grazing allocations. These data reflect the decision made in the Greater Sage-Grouse Approved RMP Amendment (ARMPA) in Montana/Dakotas. Details related to ARMPA livestock grazing allocations can be found in the Montana/Dakotas Approved RMP Amendment and associated Record of Decision (ROD). The presence of GRSG HMAs will not affect whether an area is available for livestock grazing; existing areas designated as available or unavailable for livestock grazing are maintained.

Tags: allocation-decisions, armpa, biota, blm, chma, core-areas, eis, environment, ghma, grazing, greater-sage-grouse, grsg, livestock-grazing, lmhma, montana, north-dakota, phma, rod, sage-grouse, schma, south-dakota, wildlife
Organization: Department of the Interior
Streams Ecological Integrity (SEI) Periphyton Data for the Rocky Mountain Network (ROMN): 2010-2022 – Data Package

Streams Ecological Integrity periphyton data package at Glacier National Park, Grant-Kohrs Ranch Historical Site, Little Bighorn Battlefield National Monument and Rocky Mountain National Park 2010-2022. The periphyton data package contains four datasets: 1) all algal samples from the study, with their taxonomic and ecological attribute information, 2) diatom samples from the study, with their taxonomic and ecological attribute information, 3) all Didymosphenia geminata samples from the study, 4) the site and event data for all sampling events in this study.

Periphyton data is collected for long term monitoring at streams monitoring sites. Periphyton data is one monitoring component within the Streams Ecological Integrity monitoring protocol. The general objectives of SEI monitoring are to document the status and long-term trends in ecological condition of streams and rivers in a park, and to use this information to help understand why stream conditions may have changed. Resource managers may, in turn, use information from SEI monitoring to make resource management decisions within their parks.

Tags: algae, benthos, bioassessment, diatoms, didymosphenia-geminata, ecological-framework-biological-integrity-focal-species-or-communities-riparian-communities, ecological-framework-water-water-quality-aquatic-macroinvertebrates-and-algae, monitoring, periphyton, rocky-mountain-network, romn, stream-ecology, streams, water-quality
Organization: Department of the Interior
BLM AK Military Withdrawal

Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. Alaska, being a state within the Public Land Survey System (PLSS), describes land to the aliquot part (subsections of larger land plots) where ever possible. Where data is not able to be described with an aliquot part, the data is generalized to the nearest PLSS section (640 acres). Natural boundaries, such as ridge lines and rivers, are examples where aliquot part descriptions can not be used. USS and Rectangular survey data has not been integrated when creating the geospatial depiction from database records. At this time, all positions are as calculated or as derived from township and section protraction.

Tags: alaska, ancsa, boundaries, d-1, d1, geospatial, land-status, land-use-planning, lands, management, planningcadastre, plo, public-land-order, withdrawal
Organization: Department of the Interior
BLM AK Forest Service Withdrawal

Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. Alaska, being a state within the Public Land Survey System (PLSS), describes land to the aliquot part (subsections of larger land plots) where ever possible. Where data is not able to be described with an aliquot part, the data is generalized to the nearest PLSS section (640 acres). Natural boundaries, such as ridge lines and rivers, are examples where aliquot part descriptions can not be used. USS and Rectangular survey data has not been integrated when creating the geospatial depiction from database records. At this time, all positions are as calculated or as derived from township and section protraction.

Tags: alaska, ancsa, boundaries, d-1, d1, geospatial, land-status, land-use-planning, lands, management, planningcadastre, plo, public-land-order, withdrawal
Organization: Department of the Interior
Real Time Passenger Information Sign Locations

The Department of Transportation (DOT) replaces standard bus sign poles with Real Time Passenger Information (RTPI) bus signs at numerous locations throughout New York City. The project's initiative is to update the visual look of the current bus stop pole flag design by adding small LED screens next to each bus route that denote the number of minutes until the arrival of the next bus. Additionally, each sign includes a push-button activated audio announcement of the real-time bus arrival information.

Tags: bus, led, passenger, sign, stops, time
Organization: City of New York
BLM AK Fish and Wildlife Service Withdrawal

Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. Alaska, being a state within the Public Land Survey System (PLSS), describes land to the aliquot part (subsections of larger land plots) where ever possible. Where data is not able to be described with an aliquot part, the data is generalized to the nearest PLSS section (640 acres). Natural boundaries, such as ridge lines and rivers, are examples where aliquot part descriptions can not be used. USS and Rectangular survey data has not been integrated when creating the geospatial depiction from database records. At this time, all positions are as calculated or as derived from township and section protraction.

Tags: alaska, ancsa, boundaries, d-1, d1, geospatial, land-status, land-use-planning, lands, management, planningcadastre, plo, public-land-order, withdrawal
Organization: Department of the Interior
BLM AK Bureau of Land Management Withdrawal

Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. Alaska, being a state within the Public Land Survey System (PLSS), describes land to the aliquot part (subsections of larger land plots) where ever possible. Where data is not able to be described with an aliquot part, the data is generalized to the nearest PLSS section (640 acres). Natural boundaries, such as ridge lines and rivers, are examples where aliquot part descriptions can not be used. USS and Rectangular survey data has not been integrated when creating the geospatial depiction from database records. At this time, all positions are as calculated or as derived from township and section protraction.

Tags: alaska, ancsa, boundaries, d-1, d1, geospatial, land-status, land-use-planning, lands, management, planningcadastre, plo, public-land-order, withdrawal
Organization: Department of the Interior
BLM AK Land Withdrawals

Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. Alaska, being a state within the Public Land Survey System (PLSS), describes land to the aliquot part (subsections of larger land plots) where ever possible. Where data is not able to be described with an aliquot part, the data is generalized to the nearest PLSS section (640 acres). Natural boundaries, such as ridge lines and rivers, are examples where aliquot part descriptions can not be used. USS and Rectangular survey data has not been integrated when creating the geospatial depiction from database records. At this time, all positions are as calculated or as derived from township and section protraction.

Tags: alaska, ancsa, boundaries, d-1, d1, geospatial, land-status, land-use-planning, lands, management, planningcadastre, plo, public-land-order, withdrawal
Organization: Department of the Interior
Prescription Monitoring Program: Schedule IV Drug Prescriptions Dispensed

This dataset includes the amount of Schedule IV prescription drugs dispensed over a 3-month span, with the quarter ending March 2023. On the controlled substance Schedule II-V; Schedule IV prescription drugs have a low potential for abuse and low risk for dependence. Schedule IV drugs may be used for pain control. It only includes dispensations to CT residents reported to the CT Prescription Monitoring & Reporting System (CPMRS).

Tags: connecticut-prescription-monitoring-program, pmp, prescription-monitoring-program, schedule-iv-drug-prescription
Organization: State of Connecticut
Golden-cheeked warbler potential habitat, low and medium-to-high predicted densities.  https://doi.org/10.7944/x4mc-wv59

These features delimit areas with predicted densities of golden-cheeked warblers of 0.04 to 0.10 males per hectare and greater than 0.10 males per hectare. Areas smaller than 1 hectare were removed. These areas included locations of 97.4% of the golden-cheeked warblers detected in the survey by Mueller et al. (2022). This shapefile is based on the habitat model in Mueller et al. (2022). This model was based on imagery from 2015-2016 and surveys in 2018. 

Mueller, J. M., S. E. Sesnie, S. E. Lehnen, H. T. Davis, J. J. Giocomo, J. N. Macey, and A. M. Long. 2022. Multi-scale species distribution model for conserving an endangered songbird. Journal of Wildlife Management: e22236.

Cite this dataset as: Mueller, J., Sesnie, S., Lehnen, S., Davis, H., Giocomo, J., Macey, J., & Long, A. (2025). Dataset: Golden-cheeked warbler potential habitat, low and medium-to-high predicted densities. [Data set]. United States Fish and Wildlife Service. https://doi.org/10.7944/X4MC-WV59.

Tags: dendroica-chrysoparia, general-biology-species-birds, golden-cheeked-warbler, golden-cheeked-warbler-range, golden-cheeked-wood-warbler, setophaga-chrysoparia
Organization: Department of the Interior
U.S. Fish and Wildlife Service National Realty Tracts

This data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions. It may also include inholdings that are not administered by USFWS. The primary source for this information is the USFWS Realty program.

Tags: boundaries, cadastre-theme, national-fish-hatchery, national-geospatial-data-asset, national-wildlife-refuge, ngda, ngdaid14, planningcadastre, united-states, waterfowl-production-area, wetland-management-district
Organization: Department of the Interior
Multi-scale species density model for conserving an endangered songbird: rasters of predicted golden-cheeked warbler densities  https://doi.org/10.7944/P9BPS48C

These files are the predicted abundances of male golden-cheeked warblers across the breeding range in Texas in 2018. The rasters are at a 10-m scale. The preditions for the 3-minute surveys is thought to be most accurate; the 5-minute predictions are included as a comparison with a previous survey conducted in 2008-2009.

Tags: dendroica-chrysoparia, general-biology-at-risk-biota-te-species, golden-cheeked-warbler, golden-cheeked-wood-warbler, setophaga-chrysoparia
Organization: Department of the Interior
2013 bee specimen dataset from Bill Williams River National Wildlife Refuge and Cibola National Wildlife Refuge. Yuma, Arizona. DOI: https://doi.org/10.7944/P9EVITTP

Collections were made on Bill Williams River National Wildlife Refuge and Cibola National Wildlife Refuge by the U.S. Fish and Wildlife Service.  The U.S. Fish and Wildlife Service attributed specimens with information on the date (month, day, year) and collection location (coordinates).  The U.S. Department of Agriculture, Agricultural Research Service, Pollinating Insects Research Unit, Bee Biology and Systematics Laboratory, Utah State University, Logan, Utah, USA (hereafter BBSL) made final identification of each specimen, and accession of specimens into their larger museum collection followed identification.  The BBSL subsequently attributed specimen records with information such as species name and associated taxonomy.  The BBSL also assigned each specimen a unique identification number (catalog number) so physical specimens can readily be associated with electronic data records.

Information in this dataset was exported from the BBSL larger dataset, thus it is the subset of data that pertains to the Bill Williams River and Cibola National Wildlife Refuge specimens.  The BBSL uses Darwin Core terms to describe data fields for each record.  The definitions below are taken directly from the Darwin Core Terms quick reference guide (http://rs.tdwg.org/dwc/terms/index.htm), although some have been modified to more accurately describe information attributed to specimens in this data set.  Users of the dataset should refer to Darwin Core terms reference guide if more clarity is needed about a given field, or how it might relate to information assembled in other databases.

Tags: arizona, bees, general-biology-species-invertebrates, general-biology-species-pollinators, lower-colorado-river, pollinators
Organization: Department of the Interior
Annual Seabird Monitoring at Alaska Maritime National Wildlife Refuge (FF07RAM000-027), Least Auklet Survival Data 2003-2025

These relational tables represent data related to least auklet survival studies on St. George Island, Alaska, from 2003-2025. These data were collected using the Alaska Maritime National Wildlife Refuge Least Auklet survival protocol. Survival studies were not completed in 2020, therefore there is no data from 2020.

Resight and banding/capture data were compiled from historic spreadsheets (2003-2023) into a single database, representing event data, capture/banding data, resight data, individual birds (organisms), and the histories of bands worn by those individual birds. Capture and resight data for 2024 were recorded using a Survey123 application to streamline data entry and management for this survey.

Tags: aethia-pusilla, general-management-monitoring, least-auklet, least-auklets, mark-recapture, pacific-seabird-programs, seabirds, survival
Organization: Department of the Interior
FWS Critical Habitat for Threatened and Endangered Species Dataset

When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas of habitat believed to be essential the species conservation. Those areas may be proposed for designation as critical habitat. Critical habitat is a term defined and used in the Act. It is a specific geographic area(s) that contains features essential for the conservation of a threatened or endangered species and that may require special management and protection. Critical habitat may include an area that is not currently occupied by the species but that will be needed for its recovery. An area is designated as critical habitat after the Service publishes a proposed Federal regulation in the Federal Register and receives and considers public comments on the proposal. The final boundaries of the critical habitat are also published in the Federal Register.

Tags: alabama, alaska, arizona, arkansas, biodiversity-and-ecosystems-theme, biota, biota-theme, california, colorado, critical-habitat, endangered-species, environment, florida, georgia, hawaii, idaho, illinois, indiana, iowa, kansas, kentucky, listed-species, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, national-geospatial-data-asset, nebraska, nevada, new-mexico, ngda, ngdaid3, north-carolina, north-dakota, northern-mariana-islands, ohio, oklahoma, oregon, pennsylvania, puerto-rico, south-carolina, south-dakota, tennessee, texas, threatened-species, united-states, utah, virgin-islands, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Colonial waterbird survey counts

Raw and summarized count data from annual colonial water survey conducted at West Sister Island NWR. Breeding pair estimates were calculated for all years using 3 different methods.

Tags: analysis, ardea-alba, ardea-albus, ardea-herodias, black-crowned-night-heron, breeding, bubulcus-coromandus, count, data, double-crested-cormorant, eastern-cattle-egret, egretta-caerulea, egretta-thula, estimate, general-management-inventory, general-management-monitoring, great-blue-heron, great-egret, great-lakes, herring-gull, im, larus-argentatis, leucophoyx-thula-thula, little-blue-heron, management, monitoring, nest, nycticorax-nycticorax, pair, phalacrocorax-auritus, r_, sampling, snowy-egret, survey, waterbird
Organization: Department of the Interior
Sequoyah National Wildlife Refuge land cover and waterfowl habitat classification using SPOT-5 imagery. https://doi.org/10.7944/w37h3k.

The relationship between available habitat and waterfowl numbers obtained from aerial survey transects is not well studied. To determine these relationships, multispectral SPOT-5 satellite imagery acquired for Sequoyah National Wildlife Refuge close to the time of waterfowl surveys was used to map habitat conditions. Robust Random Forest classification trees were used to model 16 land cover types using 416 reference locations collected in the field or derived from aerial photos close to or during waterfowl survey dates. The normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and a simple ratio (SR) of red and near infrared bands were used to enhance classification accuracy for key habitat areas and abundance of water. Terrain variables such as slope, solar illumination and cosine transformed aspect derived from a digital elevation model (DEM) were also used to enhance habitat classification. Random Forest (RF) models were also compared to support vector machines (SVM) and cforest (CF) conditional inference trees. We used error matrices and the Kappa agreement statistic (K) to compare model results from each classifier. Results indicated that a tuned RF classifier showed better performance (K=0.73) than SVM (K=0.65) and unbiased cforest trees (K=0.63). Overall class agreement between similar RF and cforest models, designed to reduce predictor variable selection bias, was also relatively low (K=0.47). A final tuned RF model was selected resulting in 75% accuracy overall and was used to map habitat types for the refuge and surrounding landscape. We found that elevation and minimum noise fraction (MNF) bands were the most important predictor variables. MNF bands can help to reduce the number of correlated variables entering into a classification model when a larger number of correlated spectral bands are used. Similar forest types such as riverine, bottomland hardwood, and floodplain forest showed the greatest misclassification error. Overall, the RF model and SPOT-5 leaf-off imagery generated accurate land cover data for assessing habitat conditions during waterfowl surveys.  Cite using this digital object identifier https://doi.org/10.7944/w37h3k

Tags: general-landscapes-landscape-ecology, general-management-landscape-management-habitat-scale, geospatial-information-system, gis, habitat, landcover, random-forest, raster, remote-sensing, sequoyah-national-wildlife-refuge
Organization: Department of the Interior
Decibel dataset in this file were analyzed in the publication “Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring” https://doi.org/10.7944/P955KPLE

Data were analyzed in the publication “Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring” authored by Johnson, L. A., M. J.  Butler, and S. E. Sesnie 

 

We measured sound intensity of the reproduction call of the masked bobwhite in an outdoor wire enclosure measuring 6 m × 18 m. The enclosure contained 12 male and 7 female masked bobwhite. Observers were concealed by vegetation inside the enclosure. We collected sound intensity data using a digital sound level meter (Extech 407736, Extech Instruments Corp., Waltham, MA, USA) over seven days of the breeding season from 19 July to 7 August 2017. We recorded the maximum sound intensity. We used a laser distance meter (Leica DISTO, Leica Geosystems AG, Wetzler, Germany) to determine the distance to the bird. We closely observed the bird's location and noted its orientation in relation to the sound level meter, classifying it as either away, facing, side, or unknown. Using the inverse square law, we have standardized the sound intensity measurements taken at different distances. Based on this, we have predicted the sound intensity of a male masked bobwhite's call at a distance of 10 cm.

Tags: arizona, buenos-aires-national-wildlife-refuge, colinus-virginianus-ridgwayi, decibel, detection, masked-bobwhite, masked-quail, mexico, quail
Organization: Department of the Interior
Audibility dataset in this file were analyzed in the publication “Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring” https://doi.org/10.7944/P9U67LQX

These data were collected in 2017 on the 48,000-ha Buenos Aires National Wildlife Refuge (hereafter, Refuge). We used audibility trials (i.e., sound detection tests) to estimate and model probability of detection of male masked bobwhite reproduction calls by distance and weather. We selected 17 random locations using the Create Random Points Tool in ArcMap (ArcGIS 10.0, Redlands, CA, USA) within a 9,300-ha area representative of masked bobwhite habitat conditions. At these locations, we established plots where we conducted audibility trials. Each plot consisted of transects radiating from the centroid in the four cardinal directions. Along each transect, we simulated the reproduction call of male masked bobwhites using an electronic game caller (FoxPro Crossfire, Digital Game Caller, Lewistown, PA, USA) to broadcast recordings calibrated to the appropriate sound intensity of 112 dB at 10 cm. We held the game caller 1.5 meters from the ground to simulate a perched calling male. A technician walked each transect and played the recording at standardized distances. At each distance, we played a recording of three calls in each cardinal direction. This resulted in 12 calls per distance. 

At the center of each plot, we placed an ARU (Wildlife Acoustics SM4, Autonomous Recording Unit, Maynard, MA, USA) to detect recording playback and a weather station with a console (Davis Instruments Corporation, 6152 Vantage Pro 2, Hayward, CA, USA).  

We used Kaleidoscope Pro 4.5.5 (Wildlife Acoustics, Maynard, MA, USA) to manually identify calls and for automated detection with an advanced classifier. We named the advanced classifier MxModel. For manual sound analysis, we navigated to the playback time recorded during field data collection. For each playback time, we listened to the audio and studied the spectrogram (i.e., search for the distinct bob-white call geometry or signature) to determine if the call was logged by the ARU.

Tags: arizona, audibility, buenos-aires-national-wildlife-refuge, colinus-virginianus-ridgwayi, detection, khz, masked-bobwhite, masked-quail, mexico, quail
Organization: Department of the Interior
Frequency dataset in this file were analyzed in the publication “Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring” https://doi.org/10.7944/P9SS1DJW

Data were analyzed in the publication “Optimizing Detection of the Bobwhite Reproduction Call Using Passive Acoustic Monitoring” authored by Johnson, L. A., M. J.  Butler, and S. E. Sesnie 

 

The call frequency (kHz) of the reproduction call was measured on 200 randomly selected calls consisting of 100 each of the 2-syllable and 3-syllable variations. Calls were recorded using an Autonomous Recording Unit (Wildlife Acoustics SM4, Autonomous Recording Unit, Maynard, MA, USA) and visually measured in the Kaleidoscope Pro 4.5.5 (Wildlife Acoustics, Maynard, MA, USA) spectrogram by placing the gridlines at the high and low points of the call.

Tags: arizona, buenos-aires-national-wildlife-refuge, colinus-virginianus-ridgwayi, decibel, detection, khz, masked-bobwhite, masked-quail, mexico, quail
Organization: Department of the Interior