Annual snowshoe hare track counts conducted in late winter/early spring in eastern Gates of the Arctic National Park near Wiseman, Alaska, central Brooks Range, Alaska.

Dataset of snowshoe hare pellet counts across quadrats and sites for surveys conducted 1990-2024 at Tetlin National Wildlife Refuge. Raw data is used to monitor hare density on the refuge over time. For a record of data manipulation for data tidying, see ServCat reference: 187751.

Spreadsheets containing raw and summary data collected on diameter at point of browse by snowshoe hares in eastern Gates of the Arctic National Park and the Middle Fork Koyukuk River valley.

This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format.

Transects and plot locations for the Snowshoe Hare Ecology Project, Wiseman, Alaska. Data columns: SITE : chr "Gold" "Gold" "Gold" "Gold" ... TRANSECT : chr "B" "B" "C" "C" ... PLOT : int 10 12 9 12 13 15 16 18 1 2 ... STAKE : chr "North" "North" "South" "North" ... POINTTYPE : chr "Center point" "Center point" "Center point" "Center point" ... ISEXTANT : logi TRUE TRUE TRUE TRUE TRUE TRUE ... ISCURRENTG: chr "Yes" "Yes" "Yes" "Yes" ... ISOUTPARK : chr "Yes" "Yes" "Yes" "Yes" ... UNITCODE : chr "GAAR" "GAAR" "GAAR" "GAAR" ... REGIONCODE: chr "AKR" "AKR" "AKR" "AKR" ... CREATEDATE: chr "6/12/2024" "6/12/2024" "6/12/2024" "6/12/2024" ... CREATEUSER: chr "D. DiFolco" "D. DiFolco" "D. DiFolco" "D. DiFolco" ... EDITDATE : chr "6/12/2024" "6/12/2024" "6/12/2024" "6/12/2024" ... MAPMETHOD : chr "GNSS: Mapping Grade" "GNSS: Mapping Grade" "GNSS: Mapping Grade" "GNSS: Mapping Grade" ... SOURCEDATE: chr "6/12/2024" "6/12/2024" "6/12/2024" "6/12/2024" ... XYACCURACY: chr ">=5cm and <50cm" ">=5cm and <50cm" ">=5cm and <50cm" ">=5cm and <50cm" ... PHOTO_N : chr "" "" "" "" ... PHOTO_S : chr "" "" "" "" ... PHOTO_E : logi NA NA NA NA NA NA ... PHOTO_W : chr "" "" "" "" ... PHOTO_O : chr "" "" "" "" ... Latitude : num 67.5 67.5 67.5 67.5 67.5 ... Longitude : num -150 -150 -150 -150 -150 ...

This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format.

Weather and snow depth data (two files) for the annual snowshoe hare track count, usually held in March.

This volume's release consists of 42105 media files captured by autonomous wildlife monitoring devices under the project, Adirondack Inventory & Monitoring (AIM) Network. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files. Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models, identifying wildlife targets within the media. If so, this information is stored in "annotations.csv" and "modeloutputs.csv", respectively. To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted. To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files). See source code at https://code.usgs.gov/vtcfwru/ammonitor.

This volume's release consists of 42105 media files captured by autonomous wildlife monitoring devices under the project, Adirondack Inventory & Monitoring (AIM) Network. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files. Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models, identifying wildlife targets within the media. If so, this information is stored in "annotations.csv" and "modeloutputs.csv", respectively. To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted. To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files). See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.