AndreaBozzo/ceres-open-data-index huggingface dataset:
Solar Resource Areas (2022)

Solar Resource Areas created were produced using a k-means method that groups solar generating plants into discrete regions based on their latitude, longitude, and distance to the coast. After facilities were grouped, the outermost facilities in each region were connected to create the boundaries for each region. To include all facilities inside each polygon, a 5 km buffer was used. Plants that are farther from a concentration of other plants are not included in a region and are instead displayed as outlying facilities. Areas outside California included in the the regions are a result of the mapping process and are not representing actual solar generating facilities. Based on the Quarterly Fuel and Energy Report dataset, this map focuses on data from plants of at least 1 MW capacity (commercial scale) and excludes smaller plants.<div><br /></div><div>For more information please contact John Hingtgen (916) 510-9747.</div>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead
Organization: State of California
i03 SuisunMarshBoundary

This feature class was digitized from the map, A.B. 1717, by Jeff Galef on August 22, 2012. The features were labeled as being in the Primary or Secondary Zone. The digitizing was done at a 1:4,000 scale. The features were digitized by a map that was georeferenced by Jeff Galef on July 25, 2012. The number of control points used was 25. The RMS error was 13.74340. The georeferencing was performed against the 2009 NAIP imagery, which was projected to UTM Zone 10, NAD 83.Digitizing was difficult since the line borders and the associated colors often did not match up. That is, there was a fair amount of overlap. The decision was made that the digitizing would follow the thick red and black lines where available. Otherwise, the digitizing followed the coloring. This feature class was edited on November 26, 2013 by Terri Fong to reflect the San Francisco Bay Conservation and Development Commission's map amendments of 2011. The amendments are described in Resolution No. 11-05 which can be found here: http://www.bcdc.ca.gov/BPA/Final2011.07.01.ResolutionNo1.10.pdf. This resolution changes the size of the Water Related Industry Reserve Area near Collinsville. The current Boundaries of the Suisun Marsh map can be found here: http://www.bcdc.ca.gov/plans/SMboundaries.pdf.

Tags: boundaries, boundary, california, california-department-of-water-resources, dwr, dwr-gis-atlas, economy, solano-county, suisun-marsh, wetlands
Organization: State of California
Congressional Districts CA

<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;'>State and federal legislative district service areas approved by the 2020 California Citizens Redistricting Commission. Source: </span><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;'><a href='https://gis.data.ca.gov/datasets/CDEGIS::us-congressional-districts/explore' style='color:rgb(0, 97, 155); text-decoration-line:none;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://gis.data.ca.gov/datasets/CDEGIS::us-congressional-districts/explore</a></span>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ftd, nevi
Organization: State of California
i08 GroundwaterLevelChangeSeasonal 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 change in groundwater level at selected monitoring locations (wells) between two specified years, by season. Change values represent change in groundwater level (elevation) by year and season (fall or spring). Other information on the monitoring location is also included. Positive values indicate groundwater has risen (groundwater surface elevation has increased) from the early year to the late year, while negative values indicate groundwater level surface has fallen (decreased in elevation ) from the early year to the late year. 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: california, california-department-of-water-resources, department-of-water-resources, dwr, dwr-gis-atlas, geoscientificinformation, groundwater, groundwater-level, hydrogeology, sgma, water-resources
Organization: State of California
Airborne electromagnetic (AEM) Pilot Studies

Airborne electromagnetic (AEM) geophysical data were collected in California as a part of AEM pilot studies. The purpose of the AEM pilot studies was to inform the development of the Department of Water Resources’ (DWR’s) statewide AEM survey project. The AEM pilot studies were conducted in three areas: Butte and Glenn Counties, San Luis Obispo County, and Indian Wells Valley. The AEM surveys were conducted from 2018 through 2020 and were led by Stanford University with participants from the academic and private sectors, and local and state water agencies.  All data used, collected, or created as a part of the AEM pilot studies are provided here.

The AEM pilot studies were funded by grants from DWR, the Ministry of Denmark, and three local agencies (Butte County, Indian Wells Valley Water District, and San Luis Obispo County - Paso Robles). Pilot study participants included Stanford University, Aarhus University, Aqua Geo Frameworks, Ramboll, I-GIS, SkyTEM, University of California Davis, California State University Sacramento, California State University Chico, Parker Groundwater, the Danish Water Technology Alliance, the Danish Environmental Protection Agency, Glenn County Department of Water Resource Conservation, Butte County Department of Water Conservation, Indian Wells Valley Water District, and San Luis Obispo County.

Tags: aem, airborne-electromagnetic, california-department-of-water-resources, geophysics
Organization: State of California
Non-Salmonid Abundance - Line Features [ds186]

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The CalFish Abundance Database contains a comprehensive collection of anadromous fisheries abundance information. The "Other Fish" category contains data collected for species other than salmonids, or salmonids that have not been identified as to species. Beginning in 1998, the Pacific States Marine Fisheries Commission, the California Department of Fish and Game, and the National Marine Fisheries Service, began a cooperative project aimed at collecting, archiving, and entering into standardized electronic formats, the wealth of information generated by fisheries resource management agencies and tribes throughout California. Extensive data are currently available for chinook, coho, steelhead and to a lesser degree other fish species as well. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, and redd counts. Updates are made to the CalFish web server quarterly. This CalFish Abundance Database shapefile was generated from fully routed 1:100,000 hydrography. In a few cases streams had to be added to the hydrography dataset in order to provide a means to create shapefiles to represent abundance data associated with them. Streams added were digitized at no more than 1:24,000 scale based on stream line images portrayed in 1:24,000 Digital Raster Graphics (DRG). These features generally represent abundance counts resulting from stream surveys. The linear features in this layer typically represent the location for which abundance data records apply. This would be the reach or length of stream surveyed, or the stream sections for which a given population estimate applies. In some cases the actual stream section surveyed was not specified and linear features represent the entire stream. In many cases there are multiple datasets associated with the same length of stream, and so, linear features overlap. Please view the associated datasets for detail regarding specific features. In CalFish these are accessed through the "link" that is visible when performing an identify or query operation. A URL string is provided with each feature in the downloadable data which can also be used to access the underlying datasets. The data that is available via the CalFish website is actually linked directly to the StreamNet website where the database's tabular data is currently stored. Additional information about StreamNet may be downloaded at http://www.streamnet.org. Complete documentation for the StreamNet database may be accessed at http://www.streamnet.org/online-data/archive/exc_982.html .</SPAN></P></DIV></DIV>

Tags: abundance, auth_cdfw, bass, black-bass, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, chum, coastal-rainbow-trout, cutthroat, ds0186_20110128_wm, fish, inventory, management, monitoring, multi-species, oncorhynchus, planning, regulatory, reproduction, sample, sockeye, special-status-species, striped-bass, trend, trout
Organization: State of California
Caspian Tern Range - CWHR B227 [ds604]

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.

Tags: auth_cdfw, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-caspian-tern, ds0604_20160308_wm, habitat, marinebios, natural-resources, sn-hydroprogne-caspia, species, wildlife
Organization: State of California
i02 Natural Communities Commonly Associated with Groundwater (NCCAG)

<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 Natural Communities Commonly Associated with Groundwater (NCCAG) dataset is a compilation of phreatophytic vegetation, regularly flooded natural wetlands and riverine areas, and springs and seeps extracted from 48 publicly available state and federal agency datasets. Two habitat classes are included in the dataset: wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The NCCAG dataset began as an amalgamation of vegetation and wetland datasets with different scales, resolutions, attribute details, and classifications. A working group comprised of DWR, California Department of Fish and Wildlife (CDFW) and The Nature Conservancy (TNC) further reviewed the vegetation and wetland datasets and conducted a screening process to identify the vegetation and wetland types considered to be commonly associated with groundwater (Klausmeyer et al., 2018). The NCCAG dataset can be used as a starting point to investigate and identify groundwater dependent ecosystems (GDEs) within a groundwater basin. Identifying GDEs requires detailed understanding of the land use, groundwater levels, hydrology, and geology of a location. This comprehensive understanding of geology, hydrology, and biology is not available at the statewide scale. Further investigation and verification of the connection and dependence between groundwater and mapped vegetation and wetlands at a local scale may be needed for water managers in sustainable groundwater management planning.</span>

Tags: biota, california-department-of-water-resources, conservation, dwr, dwr-gis-atlas, environmental-resources, groundwater, habitat, hydrogeology, vegetation, wetlands
Organization: State of California
Aspen Characteristics - El Dorado National Forest [ds363]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The database represents aspen stand locations and field assessments conducted in the Eldorado National Forest, Eldorado and Amador Counties, California. Data was gathered during the summers of 1999-2001. Assessments were conducted primarily by volunteers for the USDA Forest Service. Assessments were conducted within known aspen stands in the region, or stands identified during field surveys. The survey method was not intended to capture all known aspen sites in this region, and so this data does not represent a comprehensive map of aspen stands in the region. Aspen stands were assessed using a protocol developed by the Eldorado National Forest. Basic Information gathered included location and vegetative characteristics, and if browsing of the aspen was present or absent. Associated with this point layer is a polygon layer (ELDORADO_NF_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.</SPAN></P></DIV></DIV></DIV>

Tags: aspen-delineation-project, auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-quaking-aspen, distribution, ds0363_20081006_wm, inventory, management, montane-forests, planning, plant, sn-populus-tremuloides, stand, tree, vegetation-characteristics
Organization: State of California
Vegetation - Upper Santa Ana River Wash - SBWCD [ds3212]

<div style='text-align:Left;'><div><div><p><span>The San Bernardino Valley Water Conservation District (SBVWCD) contracted AECOM to produce an association-level vegetation classification and map of lands owned and/or managed by the District in the Upper Santa Ana River Wash. The classification is consistent with the Manual of California Vegetation (MCV) (CNPS 2018), and vegetation sampling methods followed National Park Service (NPS) Vegetation Index protocols. </span></p><p><span>The mapping study area consists of approximately 2,200-acres near Mentone, in San Bernardino, California. Approximately 1,500-acres lie within the Preserve set aside for the Upper Santa Ana River Wash Habitat Conservation Plan. The primary purpose of this project was to provide the District a consistent system for the mapping of vegetation on its lands. Vegetation mapping is conducted periodically by the District to inform various environmental and species management initiatives.</span></p><p><span>All plot data collection took place May 2-5, 2025. Four-band (RGB and color NIR) aerial imagery was collected May 4, 2022. All image acquisition, processing, and ortho-rectification were conducted by GeoTerra, Inc. Polygons were drawn using a minimum mapping unit (MMU) of 0.5 acre, and vegetation attributes assigned using the vegetation key provided in the newly created classification. Field reconnaissance was conducted by the photo-interpreter during the earliest stages of mapping to establish photo-signature recognition for each alliance and association. There were a total of 21 mapping classes. </span></p><p><span>More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3212.zip </span></p></div></div></div>

Tags: aecom, auth_cdfw, biota, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, department-of-fish-and-wildlife, ds3212_20250602_wm, environment, imagery-basemaps, manual-of-california-vegetation, mcv, national-vegetation-classification-standard, nvcs, san-bernardino-valley-water-conservation-district, sbvwcd, upper-santa-ana-river-wash
Organization: State of California
i10 APIS FlightLines

<div style='text-align:Left;'><p><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 is a line feature class that models the flight lines of available DWR historic aerial photography. The coordinate system utilized for this feature class is NAD1983_CaTM. The purpose for this dataset is to provide a spatial index of aerial photography acquisitions according to each acquisition's Project ID.</span><br /></p></div>

Tags: aerial-photography, apis, california-department-of-water-resources, dwr, dwr-gis-atlas, flight-lines
Organization: State of California
Utility Renewable Generation by County: 2020

<div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Power plants of at least 1 MW are required to report data. Counties in gray had no utility-</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>scale (commercial) renewable electric generation. Distributed generation (for example,</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>rooftop solar) is not included. Data is classified using the Jenk's Natural Breaks method.</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Projection: WGS 1984 California (Teale) Alberts (US Feet). Data Sources: California Energy</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Commission. Energy production data is from the Quarterly Fuel and Energy Report, and</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>the Wind Performance Reporting System databases. Data is for 2020 and is current as of</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>November 8, 2021. For more information, please contact Rebecca Vail at (916) 477-0738</div><div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>or John Hingtgen at (916) 510-9747.</div>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead
Organization: State of California
Mule Deer Migration Corridors, Pacific Herd - 2015-2020 [ds3142]

The project leads for the collection of these data were Shelly Blair (CDFW) and Jerrod Merrell (University of Nevada Reno). Mule deer (52 adult females) from the Pacific herd were captured and equipped with store-onboard GPS collars (Vectronic Plus Vertex Survey Iridium), transmitting data from 2015-2020. Pacific mule deer are found on the western slope of the Sierra Nevada in eastern California and exhibit largely traditional seasonal migration strategies. This population migrates from a multitude of lower elevation areas in the foothills of El Dorado National Forest in winter westward into higher elevation summer ranges. Migrants vary in their movements from shorter (6 km) to longer (41 km) distances.GPS locations were fixed between 1-13 hour intervals in the dataset. To improve the quality of the dataset, the GPS data were filtered prior to analysis to remove locations which were fixed in 2D space and visually assessed as a bad fix by the analyst.The methodology used for this migration analysis allowed for the mapping of winter ranges and the identification and prioritization of migration corridors. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 43 migrating deer, including 149 migration sequences, location, date, time, and average location error as inputs in Migration Mapper. The average migration time and average migration distance for deer was 7.79 days and 26.72 km, respectively. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. Corridors and stopovers were best visualized using a fixed motion variance of 500 per sequence. Winter range was processed with a fixed motion variance of 1000. All products were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Winter range analyses were based on data from 32 individual deer and 54 wintering sequences. Winter range designations for this herd may expand with a la

Tags: auth_cdfw, brownian-bridge-movement-model, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, connectivity, ds3142_20240108_wm, el-dorado, gps, migration-mapper, mule-deer, odocoileus-hemionus, placer, stopover, telemetry, winter-range
Organization: State of California
Balancing Authority Areas

Map of the eight balancing authority areas in California:<div>- BANC: Balancing Authority of Northern California</div><div>- CalISO: California Independent System Operator</div><div>- IID: Imperial Irrigation District</div><div>- LADWP: Los Angeles Department of Water &amp; Power</div><div>- PacWest: PacifiCorp West</div><div>- NV Energy</div><div>- TID: Turlock Irrigation District</div><div>- WALC: Western Area Lower Colorado</div>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, map, pdf
Organization: State of California