AndreaBozzo/ceres-open-data-index huggingface dataset:
Vegetation Grasslands - Alameda and Contra Costa County [ds3205]

<div style='text-align:Left;'><div><div><p><span>At the request of the East Bay Regional Parks District (EBPRD), Nomad Ecology (Nomad), Benson Bio Consulting (Shelly Benson), and Tukman Geospatial (project manager Brittany Burnett) conducted a fine-scale grassland vegetation mapping project on 11,000 acres of grasslands and low-cover shrublands in 16 parks owned and managed by East Bay Regional Parks District (EBRPD) in Alameda and Contra Costa counties. </span><span>This project used field vegetation sampling and mapping to produce a fine-scale vegetation map (alliance and association level) to identify the composition and location of these native grassland vegetation types, so mapped polygons do not correspond with any imagery base.  Areas mapped in the enhanced lifeform map as anything except upland herbaceous or non-native herbaceous were excluded from the matrix. These matrix polygons were incorporated into the final grassland map and flagged "Yes” in the field “Matrix Flag.”. The methods used for this vegetation sampling and mapping project are consistent with the Manual of California Vegetation and followed protocols established by CDFW VegCAMP and CNPS. This map was made in 2023.</span></p><p><span>This fine scale grassland map represents native grasslands and low-cover shrublands throughout select East Bay Regional Parks District (EBRPD) lands – a 74-class grassland map with 2,805 polygons. The mapping was conducted in the spring-summer of 2023 and 2024. The map also includes a non-native matrix covering areas not mapped as native grasslands or low-cover shrublands. After field work concluded, field staff conducted a thorough quality assurance process, which involved checking for polygons under the 1/5-acre minimum mapping unit (MMU), overlapping polygons, and accurate data attribution.</span></p><p><span>Spatial data for this project is also available on pacificvegmap.org. The report for this project is available here: </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=239500' style='text-decoration:underline;' rel='nofollow ugc'><span style='font-size:12pttext-decoration:underline;'>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=239500</span></a></p><p><span /></p><p><span /></p></div></div></div>
CAL FIRE Exemption Notices Historical TA83

All Exemption Notices (EXs) of Timber Operations accepted by the California Department of Forestry &amp; Fire Protection. Operations are exempt from the plan preparation and submission requirements of PRC § 4581, and may be exempt from the completion report and stocking report requirements (PRC §§ 4585 and 4587) of the Forest Practice Act.  Public Utility and other Right-of-Way Exemptions are not included. See CAL FIRE Exemption Notices Right-of-Way for this data. Data set includes current year plus two preceding years. For previous years see data set CAL FIRE Exemption Notices Historical. <div><br /></div><div>To learn more about Exemptions, refer to 14 CCR §§ 1038 and 1104.1(a) in the <a href='https://bof.fire.ca.gov/regulations/bills-statutes-rules-and-annual-california-forest-practice-rules' rel='nofollow ugc' target='_blank'>California Forest Practice Rules</a>. Exemption Notices are subject to the rules of the year in which they were submitted. Examples of exemptions that are collected include: Christmas Tree, Dead, Dying, and Diseased, Drought Mortality, 150ft or 300ft Fire Hazard Trees removal, Forest Fire Prevention, Fuelwood split product, Less than three acre conversions, and Substantially Damaged Timberland, Post Fire Recovery. </div><div><br /></div><div>This data set is in the California Teale Albers NAD83 meters projection (TA83).<br /></div><div><br /></div><div>Link to the California Forest Practice Rules:</div><div>https://bof.fire.ca.gov/regulations/bills-statutes-rules-and-annual-california-forest-practice-rules</div><div><br /></div><div>For additional information on specific plans see the California Timber Regulation and Environmental Evaluation System (CalTREES): https://caltreesplans.resources.ca.gov/caltrees/Default.aspx<br /></div>
Terrestrial Significant Habitats Summary - ACE [ds2721]

<div style='text-align:Left;'><div><div><p><span><span>For more information, see the Terrestrial Significant Habitats Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150834' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150834</span></a><span>. </span></span></p><p><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span><span>.</span></span></p></div></div></div>
Western Tiger Salamander Range - CWHR A047 [ds1352]

<div style='text-align:Left;'><div><div><p style='margin:0 0 14 0;'><span><span>Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's 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 (</span><a href='https://www.wildlife.ca.gov/Data/CWHR' style='text-decoration:underline;' rel='nofollow ugc'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>). 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.</span></span></p></div></div></div>
General Fish Surveys - Lake Skinner, Riverside County - 2008-2021

General Fish Surveys compare trends among the fishery species in Lake Skinner utilizing data that calculates catch per unit of effort (CPUE), relative abundance of each species and several population indices including length distribution, weight-length relationships, relative weight (Wr), and proportional size distributions (PSD)

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000449. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
General Fish Surveys - Lake Perris, Riverside County - 1989 - 2021

General Fish Surveys compare trends among the fishery species in Lake Perris utilizing data that calculates catch per unit of effort (CPUE), relative abundance of each species and several population indices including length distribution, weight-length relationships, relative weight (Wr), and proportional size distributions (PSD)

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000450. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
SB601 Reporting

The Senate Bill (SB) 601 dataset provides Statewide and Institution level metrics that are mandated per Penal Code 5055.5 (added by Stats. 2015, Ch. 162, Sec. 2. (SB 601), effective January 1, 2016.). SB601 data are collected and reported quarterly and are available on the public internet. The dataset is used to populate the SB601 Dashboard. Users can find data related to budgets, contraband, grievances, housing and more.
California Important Farmland: 2000

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
California Important Farmland: 2002

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
North Complex Structure Status

<p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'>Use this app 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></p><p style='margin-bottom:0in;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><br /></span></p><p style='margin-bottom:0in; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12pt; font-family:Arial, sans-serif; color:rgb(102, 102, 102);'>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'><span style='color:blue;'>incident page</span></a>.</span></p>
Catchable Trout Surveys - Lake Perris, Riverside County - 2008-2011

Catch per hour, target species composition, hours spent angling (overall and by species), method of angling (boat/shore), annual catch totals (overall and by species), catch size distribution, reward tag return rate, estimated total return of stocked trout, harvest rate by species, angler age and distance travelled demographics.

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000444. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
Recreational Angler Surveys - Lake Perris, Riverside County - 2020-2021

Catch per hour, target species composition, hours spent angling (overall and by species), method of angling (boat/shore), annual catch totals (overall and by species), catch size distribution, reward tag return rate, estimated total return of stocked trout, harvest rate by species, angler age and distance travelled demographics.

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000445. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
California Important Farmland: 2004

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.<div><br /></div><div>The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.<br /></div>
General Fish Surveys - Diamond Valley Lake, Riverside County - 2003-2021

General Fish Surveys compare trends among the fishery species in Diamond Valley Lake utilizing data that calculates catch per unit of effort (CPUE), relative abundance of each species and several population indices including length distribution, weight-length relationships, relative weight (Wr), and proportional size distributions (PSD)

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000448. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
Solar PV Installations for Systems 1 MW and Smaller: 2024

<p>Solar PV Installations for Systems 1 MW and Smaller: 2024. Energy data and<br />map are from the California Energy Commission CEC-1304B.<br />Map depicts small solar photovoltaic capacity (with nameplate capacity of<br />1,000 kW or less). Projection: NAD 1983 (2011) California (Teale) Albers<br />(Meters). For more information, contact John Hingtgen at (916) 510-9747 or<br />john.hingtgen@energy.ca.gov.</p>
Utility-Scale Renewable Generation Totals by County: 2024

<p>Power plants with a capacity of at least 1 MW are included in totals. Counties with no<br />symbol have no utility-scale renewable electric generation. Distributed generation, such as<br />rooftop solar, is not included. Data is classified using Jenks Natural Breaks method.<br />Projection is WGS 1984 California (Teale) Alberts (US Feet). Data sources are the California<br />Energy Commission's Quarterly Fuel and Energy Report and the Wind Generation<br />Reporting System databases. Data provided is for the year 2024 and is current as of July<br />1, 2025. For further inquiries contact John Hingtgen at john.hingtgen@energy.ca.gov.</p>
Solar PV Capacity for Systems 1 MW and Smaller 2024

<p>Solar PV Installations for Systems 1 MW and Smaller: 2024. Energy data and<br />map are from the California Energy Commission CEC-1304B.<br />Map depicts small solar photovoltaic capacity (with nameplate capacity of<br />1,000 kW or less). Projection: NAD 1983 (2011) California (Teale) Albers<br />(Meters). For more information, contact John Hingtgen at (916) 510-9747 or<br />john.hingtgen@energy.ca.gov.</p>
Patient Origin/Market Share (Pivot Profile)–Inpatient, Emergency Department, and Ambulatory Surgery

This dataset contains annual Excel pivot tables that identify where a facility’s patients come from (Patient Origin) and where patients from a specific area go to (Market Share) for hospital inpatient, emergency department, and ambulatory surgery treatment.  The Patient Origin Report shows the ZIP codes of origin (based on a selected facility or facility county) and the Market Share Report lists the destination facilities (based on a selected patient ZIP code or patient county).  Note: Physician-owned ambulatory surgery clinics do not report their data to HCAI and, therefore, are not included here.
Hospital Inpatient - Diagnosis, Procedure, and External Cause Codes

This dataset contains statewide counts for every diagnosis, procedure, and external cause of injury/morbidity code reported on the hospital inpatient data.  Diagnosis codes are reported using ICD-9-CM or ICD-10-CM.  Procedure codes are reported using ICD-9-CM or ICD-10-PCS.  External cause of injury/morbidity codes are reported using ICD-9-CM or ICD-10-CM.  ICD-10 replaced ICD-9, effective October 1, 2015.
Bay-Delta SCHISM Coastal Data for Ocean Boundary

The Bay-Delta SCHISM model connects to coastal models on its ocean boundary for salinity and temperature, using Newtonian relaxation or "nudging". The files in this dataset are cached and subsetted copies of the netcdf output from the CenCOOS/ROMS (https://www.cencoos.org/) and HYCOM (hycom.org) ocean models that are needed to populate those nudging inputs. The CenCOOS forecasting program ended in 2022, and the Delta Modeling Section transitions to HYCOM after 2020. To bridge (actually overlap) the gap, HYCOM (hycom.org) data are given starting in December 2018. The datasets are broken into multi-year blocks, but the files are still quite large (up to 7Gb). There is overlap between the files marked SF Bay, CenCoos and the HYCOM. 

The files have undergone some processing and reformatting and CenCOOS data were bias corrected based on their inluence on coastal and San Francisco Bay temperature.  HYCOM is not bias corrected. Note that (infrequently) some dates are missing in the original products and we have filled in the data usually by forward copying the prior available day. These files are not used directly by SCHISM, but rather are a prerequisite data source for preparing nudging inputs. Please see (https://cadwrdeltamodeling.github.io/BayDeltaSCHISM/topics/nudging.html) for more on the topic

The data are updated only occasionally. In the Delta Modeling Section program, the download_hycom utility (command line derived from download_hycom.py) is available in the https://github.com/CADWRDeltaModeling/dms_datastore package. The authors based this on a similar utility in the pyschism package. https://github.com/schism-dev/pyschism.

The resources on this page all extract into a common parent directory called "coastal"
Vegetation - Suisun Marsh - 2024 [ds3221]

<div style='text-align:Left;'><div><div><p><span style='font-size:12pt'>To create the 2024 Suisun Marsh vegetation map, vegetation was interpreted from a mosaic of the true color imagery that was flown in June 2024. Polygons were delineated using heads-up digitizing (i.e., a photo interpreter manually drew polygons around each stand of vegetation) in Esri's ArcGIS Pro 3.4.3, and polygon attributes were recorded within a file geodatabase. All attributes were interpreted using the Suisun Marsh 2024 imagery as the base imagery. The photo interpreters obtained information primarily from the 2021 map and 2024 reconnaissance points as reference data, which were used during mapping to determine vegetative signatures and the appropriate mapping type for each polygon. Several other imagery sources were used as ancillary data, including 2024 NAIP, 2024 NAIP Color Infrared, all imagery available through Google Earth (including street view), and the 2021 NAIP imagery. Minimum mapping unit (MMU): Typically, the minimum mapping size is 0.25 acres. However, the photo interpreters use their best judgment to determine if a stand below 0.25 acre should be separately delineated. For example, a smaller polygon would be appropriate for any new visible occurrence of a non-native species of concern, such as Phragmites australis, Arundo donax, Carpobrotus edulis, Eucalyptus spp., and Lepidium latifolium. Minimum mapping width: There are many long and narrow polygons within the Suisun Marsh study area, most of which are roads, ditches, levees, and sloughs. The minimum mapping width is typically 10 feet; however, if small sections of a stand fell below the minimum width, the polygon was not split. </span><span>More information can be found in the project report, which is bundled with the vegetation map published for BIOS and available for viewing here: </span><a href='https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3221.zip' style='text-decoration:underline;' rel='nofollow ugc'><span style='text-decoration:underline;'><span>https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3221.zip</span></span></a><span> and here: </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=232836%20' style='text-decoration:underline;' rel='nofollow ugc'><span style='text-decoration:underline;'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=232836</span></span></a><span>. </span></p></div></div></div>
PUBLIC - Zero Emission Vehicle Reach Code Map

The Zero Emission Vehicle Reach Code Map <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;'>meant to track current zero-emission vehicle (ZEV) reach codes and spotlight current efforts to promote the transition to clean transportation. This map provides an overview of current ZEV reach codes present across the state. Selecting any highlighted jurisdiction will provide more details on the related ZEV reach code</span>
Driver Licenses Outstanding by County

This dataset represents valid driver licenses and identification cards that have not expired within the past 90 days. The identification card count includes individuals who hold only an identification card as well as those who possess both an identification card and a driver's license. While licenses are not issued by county, the dataset reflects the number of valid licenses with a 'county of residence' indicator, which is typically derived from the residence address on record, or the mailing address if a residence address is unavailable.