AndreaBozzo/ceres-open-data-index huggingface dataset:
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>

Tags: auth_cdfw, biota, california-department-of-fish-and-wildlife, california-department-of-water-resources, california-natural-resources-agency, caopendata, cdfw, ds3033_20250613_wm, environment, imagerybasemapsearthcover, los-penasquitos-lagoon, manual-of-california-vegetation, national-vegetation-classification-standard, nvcs
Organization: State of California
Marine Landing Data System Ports - R7 - CDFW [ds3081]

<div style='text-align:Left;'><div><div><p><span>This feature contains the spatial representations of ports and major port areas used within the Marine Landing Data System (MLDS). The point may not represent the exact port location.</span></p></div></div></div>

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, commercial-fisheries, ds3081_20230301_wm, marine, marine-landing-data-system, marinebios, points-of-interest
Organization: State of California
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>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3082_20230308_wm, elk, gps, home-range, humboldt, migration-mapper, north-coast, telemetry
Organization: State of California
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>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3083_20230308_wm, elk, gps, home-range, mendocino, migration-mapper, north-coast, telemetry
Organization: State of California
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>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3084_20230308_wm, elk, gps, home-range, mendocino, migration-mapper, north-coast, telemetry
Organization: State of California
Elk Home Range - Shamrock - 2022-2023 [ds3085]

<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 Shamrock 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>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3085_20230308_wm, elk, gps, home-range, mendocino, migration-mapper, north-coast, telemetry
Organization: State of California
Elk Home Range - Sherwood - 2022-2023 [ds3086]

<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 Sherwood 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 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 then 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>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, ds3086_20230308_wm, elk, gps, home-range, mendocino, migration-mapper, north-coast, telemetry
Organization: State of California
Elk Home Range - Sultan - 2022-2023 [ds3087]

<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 Sultan 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>

Tags: auth_cdfw, brownian-bridge-movement-model, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cervus-canadensis, connectivity, del-norte, ds3087_20230308_wm, elk, gps, home-range, migration-mapper, north-coast, telemetry
Organization: State of California
Commercial Fishing Blocks - Pre Jan 1, 2025 - R7 - CDFW [ds3093]

<div style='text-align:Left;'><div><div><p style='margin:0 0 0 0;'><span>The basic 10 minute grid was created using the ARC/INFO generate fishnet command. The input coordinates were in decimal degrees and the resultant coverage was subsequently projected into Teale Albers. The coastline derived from the 1:100K hydrology was incorporated to the 10 minute grid. The trawl logbook developed by the Pacific Fishery Management Council, the States of Washington, Oregon, and California, and the National Marine Fisheries Service was used as the reference. Many grids, therefore, are 30 x 30 or larger or are partial representations of a 10 grid. Islands, bays, deltas and estuarine waters that occurred in the 1:100K hydrology were included in the coverage. Any features not in fishable waters were given an ID of zero. All other features correspond to the ID shown in the Trawl Logbook. The field containing the ID is called block10-id. </span></p></div></div></div>

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds3093_20250115_wm, marinebios
Organization: State of California
i03 Groundwater Sustainability Plan Areas

<div style='text-align:Left;'><p><span style='background-color:rgb(255,255,255); color:rgb(76,76,76); 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;'><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 passage of the Sustainable Groundwater Management Act (SGMA) in 2014 set forth a statewide framework to help protect groundwater resources over the long-term. SGMA requires local agencies to form groundwater sustainability agencies (GSAs) for the high and medium priority basins. GSAs develop and implement groundwater sustainability plans (GSPs) to avoid undesirable results and mitigate overdraft within 20 years. GSP boundaries are managed through the SGMA Portal. This dataset represents the current GSP boundaries and includes attributes such as GSP manager contacts and GSP status. The GSP submission process is completed via the SGMA Portal and includes two primary steps: 1) a GSA(s) submits a GSP, and all associated documents and data, to the SGMA Portal’s GSP Reporting System; and 2) the Department conducts an acceptance review and posts accepted GSPs to the SGMA Portal. A single GSP, or multiple GSPs with a Coordination Agreement, must cover an entire basin or subbasin, and can only be submitted once adopted by the underlying GSA(s). GSPs are submitted in the format required by 23 CCR §353.2 and 23 CCR §353.4 of the GSP Regulations and includes the shapefiles associated with this dataset. The Department of Water Resources (DWR) must complete the acceptance review within 20-days following the submission of a GSP. During the acceptance review, DWR verifies that the GSP submission demonstrates that the GSP was adopted, covers the entire basin or subbasin, and contains all required documents and data. If DWR accepts the submitted GSP, it is then posted to the SGMA Portal, and then a public comment period is opened.</span></span><br />&nbsp;</p></div>

Tags: aquifer, aquifers, b-118, b118, basin, boundaries, bulletin-118, cal-groundwater, california, california-department-of-water-resources, californias-groundwater-live, caopendata, department-of-water-resources, dwr, dwr-gis-atlas, geology, geoscientific, ground-water, groundwater, groundwater-management-agency, groundwater-sustainability-plan, gsa, gsp, hydrogeology, information, local-agency, place, regulations, sgma, sgmo, smc, sub-basin, subbasin, sustainability, sustainable, sustainable-groundwater-management-act, sustainable-management-criteria, temporal
Organization: State of California
Steelhead Fishing Report and Restoration Card Zones [ds1119] Extended Table

<div style='text-align:Left;'><div><div><p style='margin:0 0 0 0;'><span>The main purpose of the Steelhead Report and Restoration Card program is to monitor, restore, and enhance California’s steelhead resources. The Department meets its monitoring requirement by analyzing angling data submitted by anglers from each location code. Revenue generated from report card sales is dedicated to statewide steelhead-centric restoration benefiting both the species and angler. </span></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>Additional information can be found here: </span><a href='https://wildlife.ca.gov/Conservation/Inland-Fisheries/Steelhead-Report-Card' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://wildlife.ca.gov/Conservation/Inland-Fisheries/Steelhead-Report-Card</span></span></a><span>.</span></p></div></div></div>

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-steelhead, ds1119_20200520_wm, report-cards, salmonid
Organization: State of California
HELP Act Goals, Statewide and by CoC

The HELP Act Goals were developed by the California Interagency Council on Homelessness (Cal ICH), pursuant to Homeless Equity for Left Behind Populations (HELP) Act (SB 914). The goals help the state assess its progress toward reducing and ending homelessness for survivors of domestic violence, their children, and unaccompanied women. Measures for each goal are generated using data from the state's Homelessness Data Integration System (HDIS). Values under 11 and values that allow numbers under 11 to be calculated are suppressed by an asterisk. Cells are blank if data is not available for a given year.

For more information about the measures and how they are calculated, please see the HELP Act Data Glossary: https://bcsh.ca.gov/calich/documents/help_data_dictionary.pdf

For more information about HDIS, please visit https://bcsh.ca.gov/calich/hdis.html.

Tags: children, continuum-of-care, domestic-violence, homelessness, unaccompanied-women
Organization: State of California