AndreaBozzo/ceres-open-data-index huggingface dataset:
California Least Tern Monitoring Sites by Region   CDFW   ds3147

California least tern colonies are monitored during nesting season along the California Coast and data is reported to California Department of Fish and Wildlife. The colonies in this dataset range from the Tijuana river mouth near the Mexico border to Sacramento. Locations and data include both present and historic sites. Locations are approximate and can have variation over time. These approximate locations were overlaid with a statewide hexagon layer (ds675) and then a buffer was created in order to mask exact nesting locations. These were then combined and broken into 4 main regions: S.F. Bay, Central, Ventura, and Southern. Two additional polygons are separated for the inland sites Kings and Sacramento. Some additional sites without location information can be found in the related table. The related table includes nesting totals by year from 1990 - 2019. Its anticipated to update this dataset to include earlier and newer records. Monitoring data includes estimated fledglings, estimated breeding pairs, total number of nests, and predator information when included in site reports. Annual reports 2017 and earlier can also be found by searching in California Department of Fish and Wildlifes document library (nrm.dfg.ca.gov/documents/docViewer.aspx).A version of this data, monitoring sites generalized to a 2.5 square mile hexagon, has been made available in BIOS as California Least Tern Monitoring Sites Generalized - CDFW [ds3146].
2022 Crash Data on State Highway System

The Crash Data On California State Highways Report is produced annually by the California Department of Transportation (Caltrans) to provide high level summaries of road miles, travel, crashes and crash rates on the California State Highway System.

This table lists statewide vehicle travel expressed in Million Vehicle Miles (MVM), road miles, and one and three year crash rates and fatality rates based on lane types and population codes.

While crash rates for total crash and fatal + injury crashes are calculated per MVM, fatality rates are expressed per 100 MVM.
State Wildlife Action Plan Provinces [ds1900]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data contains the Provinces which are to be used for analysis purposes for the State Wildlife Action Plan created by the California Department of Fish and Wildlife. It is based on USDA Forest Service ecoregions, National Hydrography Dataset (NHD) hydrologic units, and Marine Life Protection Act (MLPA) boundaries, as well a a customized shapefile describing the Bay Delta Area of California. </SPAN></P></DIV></DIV></DIV>
ECO-PTM Paper

The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model (ECO-PTM). Based on a random walk theory, the model tracks individual particles’ travel time, routing and survival in a flow field simulated by the Delta Simulation Model 2 hydrodynamic module (DSM2 HYDRO). The random walk particles are parameterized to have fish-like swimming behaviors including upstream/downstream swimming, probabilistic holding behaviors, and stochastic swimming velocities. Particle routing at key junctions is based on well-established statistical models, and route-specific survival is calculated using the XT mean free-path length model. Behavioral parameters were estimated by fitting several competing models to a multiyear dataset of travel times from acoustic tagged juvenile salmon. The model’s baseline simulations under historical flow conditions from 1991 to 2016 successfully replicated essential relationships between salmon outmigration survival and hydrodynamic conditions, consistent with previous studies and the STARS (Survival Travel Time and Routing Simulation) statistical simulation model. The paper and the supplementary materials detailing the model are available here.
California State Senate Districts (October 2024)

<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;'>California State Senate district boundaries intended for the NEVI map.</span><div><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;'><br /></span></div><div><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;'>Data downloaded in October 2024 from </span><a href='https://gis.data.ca.gov/maps/b31d93f08c074753b89f8cbb0b8beed9/about' target='_blank' rel='nofollow ugc noopener noreferrer'>https://gis.data.ca.gov/maps/b31d93f08c074753b89f8cbb0b8beed9/about</a>.</div>
Drinking Water - Public Water System Annually Reported Water Production and Delivery Information 2013-2022

Amount of water produced by month and by source and the water delivered by type of use and by month for every Public Water System (PWS) reporting. Public Water Systems submit their annual inventory information using the electronic Annual Report (eAR) submission process. The electronic Annual Report (eAR) is a survey of public water systems, currently required annually, to collect critical water system information intended to assess the status of compliance with specific regulatory requirements such as source water capacity, provides updated contact and inventory information (such as population and number of service connections). The specific dataset is section 6 of the eAR for the years 2013-2022 (both included) that collects the water produced by month and by source and the water delivered by type of use and by month for every water system reporting. It also includes facility public information details from the SDWIS database as metadata associated to the dataset. More information about the eAR required reporting here: https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/ear.html . A "Public Water System" means a system for the provision of water for human consumption through pipes or other constructed conveyances that has 15 or more service connections or regularly serves at least 25 individuals daily at least 60 days out of the year.
Vegetation - Ciervo Panoche North [ds3126]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>California Native Plant Society (CNPS) has initiated a project with partners at the Bureau of Land Management (BLM) and The Nature Conservancy (TNC) to create a detailed vegetation map in the north‐western portion of the Ciervo‐Panoche Natural Area (CPNA). The classification is fully compatible with the National Vegetation Classification System (NVCS) (FGDC 2008) and the Manual of California Vegetation (Sawyer et al. 2009), which CNPS and CDFW jointly maintain.</SPAN></P><P><SPAN>Phase 1 of the project includes detailed vegetation mapping in the north‐western portion of the Ciervo‐Panoche Natural Area (CPNA). The project objectives during Phase 1 have included vegetation field sampling and vegetation mapping (photo‐interpretation, delineation, and attribution) in the north‐western CPNA. The vegetation map was based upon one‐meter resolution NAIP imagery taken in the summer of 2012. The minimum mapping unit (MMU) was 1 acre, with exceptions for wetland and other special types (0.5 acre MMU).</SPAN></P><P><SPAN>In March 2015, CNPS staff conducted 189 field validation surveys across 192 pre‐selected polygons. From this data, users' and producers' accuracy was estimated. Producer’s accuracy across all types with a sample size of 3 or more was 81%, while the user’s accuracy of types with a sample size of 3 or more was 86%, meeting state standards for accuracy. Producer and user accuracy was slightly lower across all types regardless of sample size (i.e., 77% and 81% respectively), though several types had only one sample.</SPAN></P><P><SPAN>More information can be found in the project reports, which are bundled with the vegetation map published for BIOS here: </SPAN><A href="https://filelib.wildlife.ca.gov:443/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3126.zip" STYLE="text-decoration:underline;"><SPAN>https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3126.zip</SPAN></A><SPAN>. </SPAN></P></DIV></DIV></DIV>
California State Responsibility Areas

<div>CAL FIRE has a legal responsibility to provide fire protection on all State Responsibility Area (SRA) lands, which are defined based on land ownership, population density and land use. For example, CAL FIRE does not have responsibility for densely populated areas, incorporated cities, agricultural lands, or lands administered by the federal government. The SRA dataset provides areas of legal responsibility for fire protection, including State Responsibility Areas (SRA), Federal Responsibility Areas (FRA), and Local Responsibility Areas (LRA). SRA designations undergo a thorough 5 year review cycle, as well as annual updates for incorporations/annexations, error fixes, and ownership changes (automatic changes that do not require Board of Forestry approval). <br /></div><div><br /></div><div><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size:16px;'>This service represents the latest official version, and is updated when new versions are released. </span></font><b>As of November 15th, 2024, this represents SRA 25_1. </b>Changes from SRA24_1<font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size:16px;'> include those resulting from acquisitions and disposals of federal lands transmitted through the yearly California Wildfire Coordinating Group (CWCG) Direct Protection Area (DPA) agreement process, from city annexations and de-annexations, from changes in county parcel boundaries, as well as corrections to any data errors discovered during the editing process.</span></font><br /></div>
2020 Adjusted Urban Area

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Caltrans is responsible for the decennial production of the Adjusted Urban Area Boundaries for the State of California. The CA 2020 adjusted urban area file represents the current Federal Highway Administration (FHWA) approved Caltrans adjusted urban area boundaries.</SPAN></P><P><SPAN>The Urban Area Boundaries are separated into two classifications based on population:</SPAN></P><UL><LI><P><SPAN>Small Urban Areas: population ranging from 5,000 to 49,999</SPAN></P></LI><LI><P><SPAN>Urbanized Areas: population of 50,000 or more</SPAN></P></LI></UL><P><SPAN>According to Title 23 U.S.C. 101(a)(35) and (36), Small Urban and Urbanized Area boundaries are to be adjusted in cooperation by responsible State and local officials, and subject to approval by the Secretary of Transportation. Adjustments may include the addition of significant transportation corridors and areas of growing urbanization.</SPAN></P></DIV></DIV></DIV>
Economically Significant Sites - OSPR [ds356]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This point data set shows locations of Economically Significant Sites along the California coast from Del Norte to San Diego counties. Data for locating these points came from the Area Contingency Plans, Geographic Names Information System, and DeLorme Street Atlas. Some sites were found using the internet. Some locations are not field verified.</SPAN></P></DIV></DIV></DIV>
Aspen Characteristics - Lassen National Forest [ds371]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The database represents point locations and associated stand assessment data collected in aspen stands in the in the Eagle Lake Ranger District, Lassen National Forest, Lassen County, California. Data were gathered during the summers of 2001-2005. Observations were conducted by trained Forest Service crews. Assessments were conducted within aspen stands in the region, or stands identified during field surveys. This dataset is considered to be a complete inventory of aspen in these watersheds, based on the extensive effort to survey all stands in the region. Aspen stands were assessed and delineated using a protocol developed by the lead investigators at the Eagle Lake Ranger District. Assessments included information describing the ecological condition of the aspen stand, and if browsing of the aspen was present or absent. Associated with this point layer is a polygon layer (LASSEN_NF_EAGLELAKE_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>
Mule Deer Range - Region 1 [ds277]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer shows critical winter and summer ranges, fall holding areas, and fawning grounds for deer (Odocoileus hemionus) in CDFG Region 1 (Shasta, Tehama, Lassen, Modoc, Siskiyou, Trinity, and Humboldt Counties). CDFG Wildlife Biologists compiled these data in the 1970s as part of a project to identify Areas of Significant Biological Importance (Jones and Stokes 1979). This project required unit biologists to delineate natural resource boundaries and features on USGS 7.5' and 15' quadrangle maps. Deer range designations were based on biotelemetry studies, personal knowledge, and predicted use of habitats. These data were subsequently digitized to produce this dataset. The purpose of this dataset is to provide general information on the distribution of important deer ranges in Northern California. Range designations may not be current due to anthropogenic impacts or lack of data regarding the locations of seasonal ranges used by deer. CDFG should be consulted for current site-specific information on the designation or usage of seasonal ranges by deer. These maps have not been updated using current GPS techniques and may not include important corridors, reproductive areas, or other ranges important to deer populations. Critical deer winter range can include corridors essential for movement, staging areas where deer temporarily congregate, habitats containing high quality winter forage, or other elements important to the survival of deer in winter. Winter ranges are generally at lower elevations and are far less abundant than summer ranges making them vulnerable to human impacts and often a limiting factor in populations. Deer from different summer ranges may share a common winter range where breeding typically occurs. This mixing of genes on winter ranges contributes to genetically diverse and healthy populations. Critical summer range occurs generally at higher elevations, but can be similar to fall or winter ranges when deer are non-migratory. These ranges are vital to population productivity by providing habitats for parturition and rearing and forage for replenishing nutritional reserves. Summer ranges may be occupied by deer from several distinct winter ranges.. Fall holding areas are used by deer when transitioning to winter ranges. These areas can also be used in mild winters where adequate forage is available and escape from deepening snows is unnecessary. Fawning areas are critical to population productivity. They are generally located within summer ranges but can occur throughout the home ranges of non-migratory deer. Fawning areas are often linked to meadow complexes or riparian communities where adequate cover can hide newborn fawns and herbaceous forage can replenish the nutritional demands of lactation. </SPAN></P></DIV></DIV></DIV>
Camera Trap Survey - Terrestrial Species Stressor Monitoring [ds2826]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Camera traps were deployed at 320 sites across the Mojave Desert ecoregion and 265 sites across the Great Valley ecoregion between March and July of 2016 and 2017. At each survey location, a Reconyx PC900 camera trap was cable-locked onto a T-post that was securely placed in the ground and baited with a 1-kg salt lick, 500 ml of oatmeal-peanut butter mixture, and 150 g of fishy cat food. Cameras were programmed to take three photos at each trigger event with a delay of one second between trigger events. Each camera was deployed for an average of 34 days at sites in the Mojave Desert ecoregion and 29 days at sites in the Great Valley ecoregion. </SPAN></P><P><SPAN>Photos collected were reviewed to identify observed animals to the species-level, and multi-species hierarchical occupancy models were used to estimate 1) species-specific probabilities of occupancy, 2) the richness of terrestrial mammal species weighing &gt;0.5kg, and 3) community and species-specific responses to the different ecological covariates. Each 24-hr period was treated as a repeat survey at a particular camera, where a '1' indicated species x was photographed at camera y on trap day z and a '0' indicated that it was not. A species' probability of occupancy (i.e., the probability a species used the area surrounding a camera trap during our survey) was assumed to be influenced by ecological covariates, such as the presence of an artificial water catchment, precipitation, and temperature in the Mojave Desert ecoregion, or water availability, temperature, and natural vegetation cover in the Great Valley ecoregion. A species' probability of detection (i.e., the probability a species was photographed if present) was assumed to be influenced by ecological covariates, such as human disturbance and precipitation. </SPAN></P></DIV></DIV></DIV>
Willow Flycatcher Habitat Model Results [ds278]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset was developed by Chris Stermer (CDFG - RAP Program). No original metadata were located, but the following is an abstract from a document describing the product: We conducted field surveys for Willow Flycatchers (Empidonax traillii brewsterii) in 1997 and 1998, from June 15 through July 31, within the McCloud Flats region of Siskiyou County, California. A Geographic Information System (GIS) was used to predict potentially suitable habitat to survey prior to field visits. We used a GIS to model willow flycatcher habitat within our study area from remotely sensed data and digitally mapped data layers. Spatially explicit data used in our predictions included a vegetation map (a vegetation classification derived from Landsat 5 Thematic Mapper imagery), a Digital Elevation Model (DEM), a slope gradient model, and a stream layer. Seventy-seven Willow Flycatcher territories were found during our surveys. Nine of the territories were located within a large montane meadow complex (Bigelow Meadows) known to have Willow Flycatchers, the remaining territories (68) were predicted using a GIS pattern analysis. We characterized vegetation within .07 ha circular plots centered on sixty-six territories located in 1997. Riparian thickets &gt; 2 m in height was the most abundant vegetation type, making up 53% of the vegetation within the plots. Twenty-one percent of the vegetation was a composite of live green grasses and forbs. A pattern based habitat predictability model was developed using the 66 territories located in the 1997 field season as image training sites. The model integrated two environmental variables found to have predictive capability: (1) composition of vegetation classes, and; (2) slope gradient. An accuracy assessment indicated the model was 94% correct when predicting suitable habitat greater than 6 ac. We concluded that Landsat Thematic Mapper imagery, when applied in conjunction with other landscape data, was an effective technique to identify suitable Willow Flycatcher habitat for our study area. Currently, this technique is being used by the California Department of Fish and Game to identify habitat throughout Northern California. This dataset was modified on May 17, 2005 by Eric Haney of CDFG - Information Services branch. Modifications included addition of a Site_ID Field, and fields representing UTM Northing and Easting coordinates (using NAD83 Datum). These fields were added to assist in an effort to field validate the dataset. Note that not all UTM coordinates are located within habitat polygons. Depending on the irregular shape of the polygons, some of the utm coordinates are located outside the boundaries. These coordinates are only to be used for coarse navigational purposes. While there is no publication date planned, Region 1 staff are working to validate the model results. </SPAN></P></DIV></DIV></DIV>
2022 Named Freeways, Highways, Structures and Other Appurtenances in California

Named Freeways, Highways, Structures and Other Appurtenances in California Publication Named Freeways, Highways, Structures and Other Appurtenances in California are shown in the Name Freeway Publication as a reference to the many named facilities that are part of the California State Highway System. This publication provides information on officially named freeways; highways; structures such as bridges, tunnels, and interchanges; Blue Star Memorial Highways; Safety Roadside Rest Areas; and memorial plaques.
2021 Named Freeways, Highways, Structures and Other Appurtenances in California

Named Freeways, Highways, Structures and Other Appurtenances in California Publication
Named Freeways, Highways, Structures and Other Appurtenances in California are shown in the Name Freeway Publication as a reference to the many named facilities that are part of the California State Highway System.  This publication provides information on officially named freeways; highways; structures such as bridges, tunnels, and interchanges; Blue Star Memorial Highways; Safety Roadside Rest Areas; and memorial plaques.
California Statewide Zoning North

<div style='text-align:Left;'><div><div><p><span>The following data is provided as a public service, for informational purposes only. This data should not be construed as legal advice. Users of this data should independently verify its determinations prior to taking any action under the California Environmental Quality Act (CEQA) or any other law. The State of California makes no warranties as to accuracy of this data.</span></p><p><span>This zoning data was collected from 535 of California"s 539 jurisdictions. An effort was made to contact each jurisdiction in the state and request zoning data in whatever form available. In the event that zoning maps were not available in a GIS format, maps were converted from PDF or image maps using geo-referencing techniques and then transposing map information to parcel geometries sourced from county assessor data. Collection efforts began in late 2021 and were mostly finished in late 2022. Some data has been updated in 2023. Sources and dates are documented in the "Source" and "Date" columns with more detail available in the accompanying sources table.</span></p><p><span>Individual zoning maps were combined for this statewide dataset. As part of the aggregation process, contiguous areas with identical zone codes, within jurisdictions, were merged or dissolved. Some features representing roads with right-of-way or Null zone designations were removed from this data. Features less than 4 square meters in area were also removed.</span></p></div></div></div>