AndreaBozzo/ceres-open-data-index huggingface dataset:
Inland Fisheries [ds192]

This dataset is a subset of the Tuolumne Aquatic Resources Relational Inventory (TARRI) compiled by Brian Quelvog, California Department of Fish and Game. The database focuses on estimates of fish populations in the central Sierra Nevada counties specifically Tuolumne, Calaveras, Stanislaus, Mariposa, Mono, and Alpine counties. Information includes the number of individuals per species collected during each of two or three passes with backpack electrofisher(s), section length, section width, date, species sampled, the identifier, UTM coordinates, and (if available) photographs of the site. The species documented include rainbow and brown trout, centrachids such as bluegill and green sunfish, cyprinids such as roach and hitch, as well as other groups (eg. mosquitofish and catfish). Over seventy-five sources of information were used in making the data set including aquatic surveys by several agencies, although most of the information is contained in file reports from the California Department of Fish and Game. Collection dates range from 1979 to 2003. What each record represents Each record represents the collection, identification, and count of one species of fish during one of two or three passes with backpack electrofisher(s), the zone, water, site, UTM coordinates, date, and person or organization responsible for the survey.
Aquatic Organisms [ds193]

This dataset is a subset of the Tuolumne Aquatic Resources Relational Inventory (TARRI) compiled by Brian Quelvog, California Department of Fish and Game. The database focuses on fish, amphibians, insects, crustacean, and other invertebrates, and includes hydrologic information associated with collection sites in inland waterways located in Tuolumne County and the six surrounding counties (Calaveras, Stanislaus, Merced, Mariposa, Mono, and Alpine). Over seventy-five sources of information were used to develop the dataset including aquatic surveys by several agencies, file reports from the California Department of Fish and Game, personal communications, and research articles as well as museum records from institutions such as the California Academy of Sciences. Collection dates for some data are historical (back to 1889), but the majority range from 1979 to 2003. What each record represents Each record represents the collection, identification, and cataloging of one or more specimens of the given taxon under the location, time, and habitat conditions listed in the record.
Inland Fisheries - Length/Weight [ds195]

This dataset is a subset of the Tuolumne Aquatic Resources Relational Inventory (TARRI) compiled by Brian Quelvog, California Department of Fish and Game. This includes fork lengths and weights for species such as rainbow and brown trout, centrachids such as bluegill and green sunfish, cyprinids such as roach and hitch, as well as other groups (e.g., mosquitofish and catfish). Over seventy-five sources of information were used in making the data set including aquatic surveys by several agencies, although most of the information is contained in file reports from the California Department of Fish and Game. The area of interest includes Tuolumne County and the six surrounding counties: Calaveras, Stanislaus, Merced, Mariposa, Mono, and Alpine. Collection dates range from 1979 to 2003. What each record represents Each record represents the collection, identification, weight, and fork length of each individual of a given species of fish along with the zone, water, site, UTM coordinates, date, and person or organization responsible for the survey.
Vegetation - Napa County and Blue Ridge Berryessa [ds201]

In 1995, the Manual of California Vegetation (MCV) introduced a quantitatively based method for classifying and mapping vegetation in California. In 2002 Department of Fish and Wildlife, Information Center for the Environment, and Aerial Information Systems used this method to develop a classification of vegetation types for Napa County, and to attribute the polygons of a new vegetation map. The complete report for this study can be viewed at: [http://www.nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=14660].
Ecosystem Restoration Program [ds209]

This layer contains the locations of ongoing and completed habitat restoration projects funded by the Ecosystem Restoration Program, and contained as a subset of the California Habitat Restoration Project Database (CHRPD). Project locations are georeferenced by heads-up digitizing in as much detail as possible based on maps submitted by grant recipients. A background layer of 1:24,000 DRG Quads was used to locate the projects precisely. WHAT EACH RECORD REPRESENTS: The records represent individual project sites of a completed or ongoing restoration project funded by the Ecosystem Restoration Program through 2008. Many of the projects have multiple sites. Each site is represented by a center point. A separate shapefile records the entire footprint of those sites in this shapefile that occur over a larger area, and is available on request.
Aspen Characteristics - Lassen National Forest [ds371]

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.
Census Areas for 2023 Aquifer Risk Map

This layer was created for use in the [Aquifer Risk Map] to provide summarized water quality risk data for domestic wells and state small water systems per census area (tract and block group). For more detailed descriptions of all data layers within the Aquifer Risk Map, refer to the [Aquifer Risk Map Web Map page]. This layer contains census block group and tract boundaries joined with: -2021 ACS Median Household Income (table B19013 column 001E - estimates only) -2021 ACS Race/Ethnicity data (table B03002 multiple columns - estimates only) -2023 Aquifer Risk Map count of total and high risk domestic wells and state small water systems per census area
Mule Deer Range - Region 1 [ds277]

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.
Camera Trap Survey - Terrestrial Species Stressor Monitoring [ds2826]

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. 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 >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.
Willow Flycatcher Habitat Model Results [ds278]

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 > 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.
Great Gray Owl Habitat Model - Northern California [ds280]

Potential foraging habitat for Great Grey Owl (GGO) is paraphrased by Fish and Game (Tom Beck et al) as >=10 acres foraging habitat within a ½ mile radius circle of a potential nest site. This shapefile represents output from a geoprocessing model that extracts potential nesting areas from land cover data along with their associated foraging areas according to the above search criteria. Habitat Criteria: Foraging: CALVEG/EVEG WHR_Types Wet Meadow, Annual Grassland, Perennial Grassland. Nesting: Conifer forest WHR size 4M and larger/denser. Suggested Usage: This dataset is meant to be a scoping tool for investigation into possible Great Grey Owl presence. This dataset is broad in scope, and does not include potentially pertinent factors in determining Great Grey Owl nesting sites. These factors may include elevation, aspect, slope, precipitation, shape and orientation of nesting and foraging areas, and other ground conditions.* Analyzing this dataset overlaying data such as Digital Elevation Models, Existing Vegetation Land Cover, Aerial Imagery and Topographic Maps may enhance the users ability to determine habitat potential strong enough for further field investigation. *Exception: For the current version of this dataset, area within the CALVEG ecological zone "Central Valley" at elevation of less than 1500 feet was excluded from model processing because although inconclusive, there is no current evidence that Great Grey Owls are nesting below 1500 feet in California. This metric and model result may change based on new information as it becomes available (CDFG, 2011).
California Statewide Zoning North

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. 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. 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.
Vegetation - Hubbard Hill Unit [ds3123]

With funding from the Bureau of Land Management (BLM), the California Native Plant Society (CNPS) Vegetation Program has collected and compiled vegetation data, produced a vegetation classification, and produced a fine-scale vegetation map of select BLM land units in the inner Central Coast of California. During this effort, CNPS completed vegetation sampling across the southern portion of the Ciervo-Panoche Natural Area (CPNA), including 21 relevé plots and 52 rapid assessment surveys, that represent 28 vegetation alliances. Building upon previous vegetation sampling and mapping efforts, we also compiled and quality-controlled greater than1,800 surveys of vegetation data from BLM to develop a robust regional vegetation classification of the inner Central Coast. All new and compiled classification data are stored within a geodatabase and a standardized Access database. CNPS additionally produced a fine-scale vegetation map and monitoring data for the Hubbard Hill, Anderson Canyon, and Freeborn Mt allotments in San Luis Obispo County in conjunction with the US Bureau of Land Management and The Nature Conservancy. This vegetation map encompasses 7,000 acres and is based upon 2020 NAIP imagery. It includes 15 map unit codes for natural vegetation. All areas of natural vegetation were mapped at the floristic association/alliance level. The vegetation classification follows Survey of California Vegetation (SCV) standards. The classification is based on about 1,900 regional vegetation surveys along the inner Central Coast from Ciervo-Panoche Natural Area to Carrizo Plain National Monument, using classification techniques such as clustering. The map was produced applying heads-up digitizing techniques, using a base of 2020 NAIP imagery. Map polygons were assessed for Vegetation Type, Percent Cover, Exotics, etc. The minimum mapping unit (MMU) is 1 acre. The average producers’ map accuracy across all types was 77 percent and the average users’ map accuracy was 73 percent , these scores fall below the state standard of overall accuracy at 80 percent. Upon scoring the accuracy assessments, CNPS staff have reviewed all polygons where the field verification name and map unit did not agree, to correct issues in photo interpretation and attribution for the final map. A total of 720 map polygons representing 15 vegetation map classes were developed. For detailed information, please refer to the following report: J. Buck-Diaz, K. Sikes, S. Vu, A. LaFever-Jackson and J.M. Evens. 2023. Vegetation Sampling, Classification, and Mapping Report for Ciervo-Panoche Natural Area and the Hubbard Hill Unit. Final Report prepared for the U.S. Bureau of Land Management. California Native Plant Society, Vegetation Program, Sacramento, CA. [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=220225]. Appendix D, Vegetation Descriptions: [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=220226].
California Statewide Zoning South

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. 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. 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.
Wetlands (File Geodatabase)

Wetlands in California are protected by several federal and state laws, regulations, and policies. This layer was extracted from the broader vegetation raster from the CA Nature project which was recently enhanced to include a more comprehensive definition of wetland. This wetlands dataset is used as an exclusion as part of the biological planning priorities in the CEC 2023 Land-Use Screens. This layer is featured in the [CEC 2023 Land-Use Screens for Electric System Planning] data viewer. For more information about this layer and its use in electric system planning, please refer to the [Land Use Screens Staff Report in the CEC Energy Planning Library].