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>
Statewide Power Outages (Public View)

<p>The power outages in this layer are pulled directly from the utility public power outage maps and is automatically updated every 15 minutes. This dataset represents only the most recent power outages and does not contain any historical data.&nbsp;<br />&nbsp;</p><div>&nbsp;</div><div>The following utility companies are included:</div><div><ul><li>Pacific Gas and Electric (PG&amp;E)</li><li>Southern California Edison (SCE)</li><li>San Diego Gas and Electric (SDG&amp;E)</li><li>Sacramento Municipal Utility District (SMUD)</li></ul><div>Layers included in this dataset:</div></div><div><ul><li><strong>Power Outage Incidents</strong> - Point layer that shows data from all of the utilities and is best for showing a general location of the outage and driving any numbers in dashboards.</li><li><strong>Power Outage Areas</strong> - Polygon layer that shows rough power outage areas from PG&amp;E only (They are the only company that feeds this out publicly). With in the PG&amp;E territory this layer is useful to show the general area out of power. The accuracy is limited by how the areas are drawn, but is it good for a visual of the impacted area.</li><li><strong>Power Outages by County</strong> - This layer summaries the total impacted customers by county. This layer is good for showing where outages are on a statewide scale.</li></ul></div><div>&nbsp;</div><div>If you have any questions about this dataset please email&nbsp;<a href='mailto:gis@caloes.ca.gov' target='_blank' rel='nofollow ugc noopener noreferrer'>GIS@caloes.ca.gov&nbsp;</a></div>
Elk Home Range - Bear Creek Ranch-Antelope Valley - 2017-2022 [ds3029]

<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 (8 adult females, 11 adult males) from the Bear Creek Ranch – Antelope Valley 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 Bear Valley and Cache Creek Elk Management Units, west of Route 20 south to Wilber Springs, where certain individuals appear to cross this highway. Route 20 is likely a barrier to movement to the east as this herd does not overlap with the Cortina Ridge herd on the other side of this highway. The Bear Creek Ranch – Antelope Valleyherd 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, 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 17 elk in total, including 37 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 less 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>
Elk Home Range - Cortina Ridge - 2017-2022 [ds3030]

<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 (7 adult females, 8 adult males) from the Cortina Ridge 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 Bear Valley Elk Management Unit, east of Route 20 and southeast of Mendocino National Forest. Route 20 appears to be a barrier to movement, as these elk do not overlap with the Bear Creek Ranch – Antelope Valley herd on the other side of the road. The Cortina Ridge 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, 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 12 elk in total, including 31 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 less 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>
Elk Home Range - East Park Reservoir - 2017-2021 [ds3031]

<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 (8 adult females, 9 adult males) from the East Park Reservoir herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar, Lotek Wireless, Newmarket, Ontario, Canada), transmitting data from 2017-2021. The study area was within the East Park Reservoir and Bear Valley Elk Management Units, encompassing the Indian Valley and located to the east of Mendocino National Forest. The East Park Reservoir 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, 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 15 elk in total, including 35 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 less 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>
Elk Home Range - Rock Quarry - 2017-2022 [ds3032]

<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 (9 adult females, 6 adult males) from the Rock Quarry 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 almost entirely within the Cache Creek Elk Management Unit, stretching northwest into the Bear Valley Elk Management Unit, east of Clear Lake and south of Mendocino National Forest. The Rock Quarry 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, 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 14 elk in total, including 35 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 less 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>
Vegetation - Tijuana River [ds3033]

<div style='text-align:Left;'><div><div><p><span>In 2016, Debbie Waldecker from California State Parks (CSP) led a team in a strongly field-based update of the Western San Diego County Vegetation dataset for Border Field State Park, located in the southern portion of the mapping area. This mapping effort was conducted to support decisions regarding a road renovation project within the state park. The MMU was 0.4 ha for the majority of the park, with smaller polygons present in the area along the road.  </span></p><p><span /></p><p><span>Dr. Kellie Uyeda of the Tijuana River National Estuarine Research Reserve and Dr. John Boland of Boland Ecological Services combined the maps produced by SFEI and CSP and assessed each polygon individually to ensure that a MMU of 0.1 ha was applied consistently across the mapping area. We made exceptions to the MMU for polygons that were part of our original field-based rapid assessment plots. Image interpretation was based on a combination of sources, including four-band (red, green, blue, NIR) orthoimagery collected in 2016 by Near Earth Observation Systems, LTD (15 cm spatial resolution), 2016 National Aerial Imagery Program four-band orthoimagery (60 cm spatial resolution), 2014 U.S. Geological Survey (USGS) four-band orthoimagery (10 cm spatial resolution), and 2014 USGS lidar point clouds (11 pts/m2). The lidar point clouds were processed to produce a digital elevation model and a canopy height layer. In addition, we conducted extensive ground reference surveys from 2016 - 2018, collecting over 3,700 geotagged photos across the mapping area. We mostly mapped to the association level, although in some highly disturbed sites where the exact species composition could not be clearly determined, we mapped only to the group level (Mediterranean California Naturalized Annual and Perennial Grassland Semi-Natural Stands and Naturalized Warm-Temperate Riparian and Wetland Semi-Natural Stands). Group and alliance level classes are noted in the association field with an asterisk.  </span></p><p><span>The vegetated habitats were based on the Western San Diego County Vegetation dataset, produced in 2012 by San Diego Association of Governments (SANDAG) with a minimum mapping unit (MMU) of 1 hectare (ha) for terrestrial systems and 0.5 ha for wetlands. Developed areas were mapped using the National Land Cover Dataset of 2011 with a MMU of 0.09 ha. Tidal channels and mudflats were based on the Southern California Wetlands Mapping Project from 2005 with a MMU of 0.2 ha. SFEI also conducted supplemental mapping based on aerial imagery from 2008 – 2010 to provide full coverage of the study area. </span></p></div></div></div>
Elk Home Range - Harts Valley - 2021-2023 [ds3082]

<div style='text-align:Left;'><div><div><p><span>The project lead for the collection of this data was Carrington Hilson. Elk (1 adult female) was captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2021-2023. The Harts Valley 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 1-7 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><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 1 elk, including 2 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. Home range is visualized as the 50th percentile contour (high use) and the 99th 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>
Elk Home Range - Laytonville - 2022-2023 [ds3083]

<div style='text-align:Left;'><div><div><p><span>The project lead for the collection of this data was Carrington Hilson. Elk (1 adult female) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2022-2023. The Laytonville 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 1-7 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><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 1 elk, including 1 annual home range sequence, 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. Home range is visualized as the 50th percentile contour (high use) and the 99th 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>
County Land Use Surveys

This is collection of  DWR  County Land Use Surveys. You may scroll the list below to download any individual survey of  interest. 
Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer.
For Statewide Crop Mapping follow the link below : https://data.cnra.ca.gov/dataset/statewide-crop-mapping
For Region Land Use Surveys follow link below: https://data.cnra.ca.gov/dataset/region-land-use-surveys
Questions about the survey data may be directed to Landuse@water.ca.gov.
Elk Home Range - Little Lake - 2022-2023 [ds3084]

<div style='text-align:Left;'><div><div><p><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 2022-2023. The Little Lake 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 1-7 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><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 2 annual home range sequence, 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. Home range is visualized as the 50th percentile contour (high use) and the 99th 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>