AndreaBozzo/ceres-open-data-index huggingface dataset:
Camp Fire Structure Status Map

<font color='#666666' face='Lato, sans-serif'><span style='font-size:16px;'>This map feeds into a web app that allows a user to examine the known status of structures damaged by the wildfire. If a structure point does not appear on the map it may still have been impacted by the fire. Specific addresses can be searched for in the search bar. Use the imagery and topographic basemaps and photos to positively identify a structure. Photos may only be available for damaged and destroyed structures.</span></font><div style='font-size:16px; color:rgb(102, 102, 102); font-family:Lato, sans-serif;'><br /></div><div style='font-size:16px; color:rgb(102, 102, 102); font-family:Lato, sans-serif;'>For more information about the wildfire response efforts, visit the CAL FIRE <a href='https://www.fire.ca.gov/incidents/' target='_blank' rel='nofollow ugc noopener noreferrer'>incident page</a>.</div>

Tags: cal-fire, camp
Organization: State of California
i16 Census County EconomicallyDistressedAreas 2023

<p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This is a copy of the statewide County GIS Tiger file. Created by joining ACS 2019-2023 5 year estimates to the 2020 Census Counties feature class, and the 2023 Unemployment Rate. The IRWM web based EDA mapping tool uses this GIS layer. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most States are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, and municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four States (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their States. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The 2020 Census boundaries for counties and equivalent entities are as of April 1, 2020, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).</span></span></p>

Tags: 2020, 2023, areas, boundaries, california, california-department-of-water-resources, census, co, community, county, dwr, dwr-gis-atlas, economically-distressed, eda, income, median-household, society
Organization: State of California
i16 Census County DisadvantagedCommunities 2023

<p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The IRWM web based DAC mapping tool uses this GIS layer. Created by joining ACS 2019-2023 5 year estimates to the 2020 Census Counties feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most States are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, and municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four States (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their States. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The 2020 Census boundaries for counties and equivalent entities are as of April 1, 2020, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).</span></span></p>

Tags: 2020, 2023, boundaries, california, california-department-of-water-resources, census, co, communities, county, dac, disadvantaged, dwr, dwr-gis-atlas, society
Organization: State of California
i16 Census BlockGroup DisadvantagedCommunities 2023

<p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The IRWM web based DAC mapping tool uses this GIS layer. Created by joining ACS 2019-2023 5 year estimates to the Census 2020 Block Group feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2020 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2020 tract 1210.02 are also within BG 3 within that census tract. Census 2020 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2020, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.</span></span></p>

Tags: 2020, 2023-boundaries, bg, block-group, california, california-department-of-water-resources, census, dac, disadvantaged-communities, dwr, dwr-gis-atlas, society
Organization: State of California
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>

Tags: annual-range, auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, colusa, connectivity, ds3029_20221103_wm, elk, gps, home-range, lake, migration-mapper, telemetry
Organization: State of California
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>

Tags: annual-range, auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, colusa, connectivity, ds3030_20221103_wm, elk, gps, home-range, migration-mapper, telemetry
Organization: State of California
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>

Tags: annual-range, auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3031_20221101_wm, elk, gps, home-range, lake, migration-mapper, telemetry
Organization: State of California
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>

Tags: annual-range, auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, colusa, connectivity, ds3032_20221101_wm, elk, gps, home-range, lake, migration-mapper, telemetry
Organization: State of California