AndreaBozzo/ceres-open-data-index huggingface dataset:
Elk Home Range - Lake Pillsbury - 2017-2022 [ds3028]

<div style='text-align:Left;'><div><div><p><span>The project leads for the collection of this data were Josh Bush and Tom Batter. Elk (5 adult females, 7 adult males) from the Lake Pillsbury herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar, Lotek Wireless, Newmarket, Ontario, Canada), transmitting data from 2017-2022. The study area was within the Lake Pillsbury Elk Management Unit, north of Clear Lake and located entirely within the Mendocino National Forest. The Lake Pillsbury herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 13-hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></p><p><span>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk in total, including 36 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of les than 27 hours. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.</span></p></div></div></div>

Tags: Auth_CDFW, Brownian bridge movement model, CAOpenData, CDFW, California, California Department of Fish And Wildlife, California Natural Resources Agency, Cervus canadensis, DS3028_20221103_wm, GPS, Lake, annual range, connectivity, elk, home range, migration mapper, telemetry
Organization: California Department of Fish and Wildlife
Wildlife Movement Barrier Priorities - CDFW - 2022 [ds3025]

<div style='text-align:Left;'><div><div><p style='margin:16 0 6 0;'><span>CDFW divides the state into six administrative Regions. CDFW staff in each Region identified linear segments of infrastructure that currently present barriers to wildlife populations in their jurisdiction. In doing so, the Regions used all available empirical information in their possession, including existing connectivity and road crossing studies, collared-animal movement data, roadkill observations, and professional expertise. This dataset represents the ten highest priority barriers identified in each Region and the twelve top priority barriers statewide. </span></p><p style='margin:16 0 6 0;'><span>This dataset represents CDFW's ongoing effort to identify priority wildlife movement barriers across the state. Currently, increasing attention is being directed toward wildlife habitat connectivity as a mechanism of maintaining biodiversity in the face of population growth and climate change. Listing priority wildlife barrier locations will help focus limited financial resources where the highest need has been identified to improve wildlife movement. This is complementary to CDFW’s fish passage barrier priorities that have been identified for anadromous fish. Like the fish passage priorities, the wildlife barrier priorities list will be periodically updated to reflect new information and barrier removal successes.</span></p><p style='margin:16 0 6 0;'><span>Most of the barriers identified are highway segments, but the list also includes a local road and two high speed rail alignments.</span></p><p style='margin:16 0 6 0;'><span>Additional information can be found in this report: </span><a href='https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=204648' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=204648</span></a><span>. </span></p><p style='margin:16 0 6 0;'><a href='https://apps.wildlife.ca.gov:443/bios6/?al=2867' style='text-decoration:underline;' rel='nofollow ugc'><span>Wildlife Movement Barriers - CDFW [ds2867]</span></a><span> represents a comprehensive dataset of all barriers identified to date, including those which have been remediated since 2020.</span></p></div></div></div>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS3025_20221005_wm, barriers, connectivity, highways, roads, terrestrial, wildlife
Organization: California Department of Fish and Wildlife
Wildlife Movement Barrier Priorities - CDFW - 2020 [ds3023]

<div style='text-align:Left;'><div><div><p style='margin:16 0 6 0;'><span>CDFW divides the state into six administrative Regions. CDFW staff in each Region identified linear segments of infrastructure that currently present barriers to wildlife populations in their jurisdiction. In doing so, the Regions used all available empirical information in their possession, including existing connectivity and road crossing studies, collared-animal movement data, roadkill observations, and professional expertise. The dataset represents the ten highest priority barriers identified in each region. </span></p><p style='margin:16 0 6 0;'><span>This dataset represents CDFW's initial effort to identify priority wildlife movement barriers across the state. Currently, increasing attention is being directed toward wildlife habitat connectivity as a mechanism of maintaining biodiversity in the face of population growth and climate change. Listing priority wildlife barrier locations will help focus limited financial resources where the highest need has been identified to improve wildlife movement. This is complementary to CDFW’s fish passage barrier priorities that have been identified for anadromous fish. Like the fish passage priorities, the wildlife barrier priorities list will be periodically updated to reflect new information and barrier removal successes.</span></p><p style='margin:16 0 6 0;'><span>Most of the barriers identified are highway segments, but the list also includes a local road, a high speed rail segment, and a concrete water conveyance canal.</span></p><p style='margin:16 0 6 0;'><span>Additional information can be found in this report: </span><a href='https://nrm.dfg.ca.gov:443/FileHandler.ashx?DocumentID=178511' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=178511</span></a><span>.</span></p><p style='margin:16 0 6 0;'><span /><a href='https://apps.wildlife.ca.gov:443/bios6/?al=2867' style='text-decoration:underline;' rel='nofollow ugc'><span>Wildlife Movement Barriers - CDFW [ds2867]</span></a><span> represents a comprehensive dataset of all barriers identified to date, including those which have been remediated since 2020.</span></p></div></div></div>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS3023_20200413_wm, barriers, connectivity, highways, roads, terrestrial, wildlife
Organization: California Department of Fish and Wildlife
i08 CriticallyOverdraftedBasins

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>The dataset is a feature class showing the boundaries of 515 groundwater basins and subbasins as defined by the California Department of Water Resources as last modified by the Basin Boundary Emergency Regulation adopted on October 21, 2015 and subsequent modifications requested through the Basin Boundary Modification Request Process. This data is current as of December 9, 2022. The file is in ESRI geodatabase format and is intended for use with compatible GIS software. Groundwater basins are represented as polygon features and designated on the basis of geological and hydrological conditions - usually the occurrence of alluvial or unconsolidated deposits. When practical, large basins are also subdivided by political boundaries, as in the Central Valley. Basins are named and numbered per the convention of the Department of Water Resources.</span>

Tags: B-118, B118, Bulletin 118, California, DWR, DWR GIS Atlas, Department of Water Resources, Dept. of Water Resources, aquifer, aquifers, basin, boundaries, geology, geoscientificInformation, ground water, groundwater, hydrogeology, sub basin, sub-basin, subbasin
Organization: California Department of Water Resources
i08 Delta InChannel Islands

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Data contains historical polygons of in-channel islands within the Sacramento San Joaquin Delta. Data consists of merged datasets from 1929, 1940, 1949, 1952, 1995, 2002, and 2017. The 2017 polygons are digitized from the 2017 Delta LiDAR imagery by the Division of Engineering, Geomatics Branch, Geospatial Data Support Section. The older pre-2017 polygons were all digitized by staff in the Delta Levees Program. Data can be queried for a single year or date range using the 'Year' field. Historical data was compiled and merged from datasets provided by the Delta Levees program. Data coverage differs between years. Absences or gaps in historical data may occur. Older acquisitions generally have a smaller footprint than recent imagery acquisitions. The 2017 in-channel islands cover the Legal Delta, and also include Chipps Island.</span>

Tags: California, Channel, DWR, DWR GIS Atlas, Geoscientific information, Sacramento, delta, environment, in channel islands, islands, san Joaquin delta
Organization: California Department of Water Resources
i08 GroundwaterDepthSeasonal Points

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This dataset depicts groundwater level (expressed as depth below ground surface) at selected monitoring locations (wells), by season and year. Other information on the monitoring location is also included. Water level monitoring locations and measurements used are selected based on measurement date and well construction information, where available, and approximate groundwater levels in the unconfined to uppermost semi-confined aquifers.</span>

Tags: BaseMaps, California, DWR, DWR GIS Atlas, Department of Water Resources, EarthCover, SGMA, farming, geoscientific Information, groundwater, groundwater level, hydrogeology, imagery, water resources
Organization: California Department of Water Resources
i08 FaultCrossings StateWaterProject

Approximate locations of faults crossing the California Aqueduct, Coastal Branch, North Bay Aqueduct, and South Bay Aqueduct. Taken from "State Water Project, California Aqueduct Fault Crossings" report (PG Report 50-00-06) and supplemental maps (PG Report 50-00-06A) dated November 18, 1965. Fault crossings were collected before and during construction of the State Water Project (SWP) to inform design, and have been compiled in this database for future use in repairs and design. This compilation covers the SWP from North of San Francisco Bay in Solano County to Riverside County, and includes the California Aqueduct, North and South Bay Aqueducts, Coastal Branch, and West Branch. 

Tags: Aqueduct, Atlas, California, California Aqueduct, California Department of Water Resources, Crossings, DWR, DWR GIS Atlas, Department of Water Resources, Faults, Geology, Geoscientific, Geoscientific Information, SWP, Seismic, State Water Project
Organization: California Department of Water Resources
i08 GroundwaterDepthSeasonal Contours

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This dataset depicts contours of estimated change in groundwater piezometric surfaces in the unconfined or uppermost semi-confined aquifers, between two specified years, by season. Contours represent change in groundwater level (depth) by year and season (fall or spring). The contour interval is 10 ft.</span>

Tags: California, DWR, DWR GIS Atlas, Department of Water Resources, SGMA, farming, geoscientific Information, groundwater, groundwater level, hydrogeology, water resources
Organization: California Department of Water Resources
i08 GroundwaterElevationSeasonal Countours

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This dataset depicts contours of estimated change in groundwater piezometric surfaces in the unconfined or uppermost semi-confined aquifers, between two specified years, by season. Contours represent change in groundwater level (elevation) by year and season (fall or spring). The contour interval is 10 ft.</span>

Tags: California, DWR, DWR GIS Atlas, Department of Water Resources, SGMA, farming, geoscientific Information, groundwater, groundwater level, hydrogeology, water resources
Organization: California Department of Water Resources
i08 GroundwaterElevationSeasonal Points

This dataset depicts groundwater level (expressed as elevation) at selected monitoring locations (wells), by season and year. Other information on the monitoring location is also included. Water level monitoring locations and measurements used are selected based on measurement date and well construction information, where available, and approximate groundwater levels in the unconfined to uppermost semi-confined aquifers.

Tags: BaseMaps, California, DWR, DWR GIS Atlas, Department of Water Resources, EarthCover, SGMA, farming, geoscientific Information, groundwater, groundwater level, hydrogeology, imagery, water resources
Organization: California Department of Water Resources
Integrated Water Flow Model (IWFM) Workshops

Materials for past training workshops for IWFM. Each workshop material includes slides used during the workshop, complete and incomplete input data files for individual hands-on sessions, and guidelines describing how to work on each training session. The incomplete input data files are intended for completion by the trainees while complete input files can be used to check the correctness of data input.

Tags: IWFM, groundwater, integrated hydrologic model
Organization: California Department of Water Resources
i08 FaultLines SacramentoValley

This data set is a series of polylines denoting fault lines mapped in USGS Publication MF-1790, "Geologic Map of the Late Cenozoic Deposits of the Sacramento Valley and Northern Sierran Foothills, California" (Helley and Harwood,1985). This data set was created by scanning the five- original sheets from USGS Publication MF-1790 (Helley and Harwood, 1985), the five sheets were georeferenced individually and the geologic information was digitized using AutoCAD 2006. The accuracy of the digitized lines was deemed to be within acceptable error tolerances, with the digitized lines accurately matching the original drafted lines in USGS Publication MF-1790 (Helley and Harwood, 1985). In general, the width of the contact lines on the paper copy, accounting for scale, ranged up to about 20 meters (66 feet). During the original digitization, minor topological mistakes (such as identical rock units on both sides of a lithologic contact or unclosed polygons) and omissions (such as unidentified lithologic units) were applied according to the best available knowledge. Comparisons were made between the original mylar and colorized field sheets (as available), in addition to the Geologic Map of the Battle Creek Fault Zone, Northern Sacramento Valley, California (USGS Map MF-1298, 1981), the Geologic Map of the Chico Monocline and Northeastern Part of the Sacramento Valley, California (USGS Miscellaneous Investigations Series Map I-1238, 1981), and the Geologic Map of the Red Bluff 30' X 60' Quadrangle, California (USGS Geologic Investigation Series Map I-2542, 1995). The correlation and description of geologic units were excerpted from USGS Publication MF-1790m (Helley and Harwood, 1985).

Tags: California, DWR, DWR GIS Atlas, Data, Department of Water Resources, Faults, GIS, Geographic Information Systems, Geology, Harwood and Helley, Map, Sacramento Valley, Structural Geology, Tectonics, USGS, United States Geological Survey
Organization: California Department of Water Resources
California Bumble Bee Atlas Sampling Grids - 2022 [ds3004]

<div style='text-align:Left;'><div><div><p><span>The California Bumble Bee Atlas sampling grid cell map for 2022. Trained volunteers participate in the atlas by adopting a grid cell to conduct at least two surveys in 2022. The project launches on three different dates based on the start of bumble bee flight season: March 15th in southern California, April 15th in central and coastal California, and May 15th everywhere else.</span></p><p><span>For more information please visit </span><a href='https://www.cabumblebeeatlas.org:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://www.cabumblebeeatlas.org/</span></a><span>. </span></p></div></div></div>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS3004_20220418_wm, atlas, bumble bee, survey, volunteer
Organization: California Department of Fish and Wildlife
NCCP Gains & Losses - San Diego [ds892]

<div style='text-align:Left;'><div><div><p><span>An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. HabiTrak consolidates the NCCP Habitat Gains and Losses into a single system.</span></p></div></div></div>

Tags: CDFW, DS0892_20240716_wm, HabiTrak, NCCP, Natural Communities Conservation Plan, Regulation, habitat gain, habitat loss
Organization: California Department of Fish and Wildlife
Elk Home Range - Tolowa - 2017-2021 [ds2999]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>The project lead for the collection of this data was Carrington Hilson. Elk (8 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017 to 2021. The Tolowa herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></p><p style='margin:0 0 11 0;'><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 8 elk, including 18 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Due to a high variance parameter (greater than 8000), one home range sequence was run with a fixed motion variance of 1000. Large water bodies were clipped from the final output. Home range is visualized as the 50</span><span>th</span><span><span>percentile contour (high use) and the 99</span></span><span><span>th</span></span><span>percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></p></div></div></div>

Tags: Auth_CDFW, Brownian bridge movement model, CAOpenData, CDFW, California, California Department of Fish And Wildlife, California Natural Resources Agency, Cervus canadensis, DS2999_20220303_wm, Del Norte, GPS, Humboldt, North Coast, connectivity, elk, home range, migration mapper, telemetry
Organization: California Department of Fish and Wildlife
Elk Home Range - Timmons - 2017-2021 [ds2998]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>The project lead for the collection of this data was Carrington Hilson. Elk (2 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Timmons herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></p><p style='margin:0 0 11 0;'><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 6 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of les than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span><span>th</span><span>percentile contour (high use) and the 99</span><span>th</span><span>percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></p></div></div></div>

Tags: Auth_CDFW, Brownian bridge movement model, CAOpenData, CDFW, California, California Department of Fish And Wildlife, California Natural Resources Agency, Cervus canadensis, DS2998_20220303_wm, GPS, Humboldt, North Coast, connectivity, elk, home range, migration mapper, telemetry
Organization: California Department of Fish and Wildlife