AndreaBozzo/ceres-open-data-index huggingface dataset:
Elk Home Range - Cedar Canyon - 2005-2006, 2015-2017 [ds3113]

The project lead for the collection of this data was Bob Stafford. Elk (7 adult females, 3 adult males) from the Cedar Canyon herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2006 and 2015-2017. The study area was within the La Panza Elk Management Unit, north of State Highway 58 in the Temblor Range and largely residing on private lands. The Cedar Canyon herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk in total, including 17 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
Elk Home Range - Chimineas - 2005-2008 [ds3114]

The project lead for the collection of this data was Bob Stafford. Elk (4 adult females, 2 adult males) from the Chimineas herd were captured and equipped with Lotek GPS collars (GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2008. The study area was within the La Panza Elk Management Unit, north adjacent to State Highway 166 and largely residing within Carrizo Plains Ecological Reserve with some movement into Los Padres National Forest. State Highway 166 is a likely barrier to movement as no collared elk moved southward across the road to additional habitats. The Chimineas herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 5 elk in total, including 7 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
WIP Capacity Assessment Geographies Shape File

Draft of the Geographies of the Watershed Improvement Program (WIP) Capacity Assessments for reference only. (This is a draft for resolution refinements of the watershed boundaries.) If you wish to be contacted when the final file is posted contact john.tangenberg @ sierranevada.ca.gov or use the dynamic service found at in your map document as it will automatically update. [https://snc.maps.arcgis.com/home/item.html?id=6843fd5e35cf42e4a5c0c4fa548b1df8] A WIP Capacity Assessment Geography is an aggregation of WIP watersheds More info on the WIP Watersheds can be found here: [https://snc.maps.arcgis.com/home/item.html?id=f38517016ee54e7998ecade01f1a17eb]
sections_arm

The aquifer risk map is being developed to fulfill requirements of SB200 aquifer risk map (domestic and small system wells) web application. The aquifer risk map intends to help prioritize areas where domestic wells and state small water systems may be accessing groundwater that does not meet primary drinking water standards (maximum contaminant level or MCL). In accordance with SB200, the risk map is to be made available to the public and is to be updated annually starting January 1, 2021. The Fund Expenditure Plan states the risk map will be used by Water Boards staff to help prioritize areas for available SAFER funding. This file shows provides the section data within the Public Land Survey System (PLSS) section delineations for use in the SB200 aquifer risk map web application. The columns contain the: * section identification code (MTRS) * estimated count of domestic wells excluding those drilled before 1970 (DomWellCou_1970) * count of chemical constituents with a 20-year section average or a 2 year section maximum in that section above the MCL (SRF1) * count of chemical constituents with a 20-year average or a 2 year maximum between 80% - 100% of the MCL (SRF2) * average magnitude of chemical constituents in the section above the MCL (SRF3) * list of chemical constituents with a 20-year average or a 2 year maximum above the MCL (SL1) * list of chemical constituents with a 20-year average or a 2 year maximum between 80% - 100% of the MCL (SL2).
SF Bay Eelgrass (BCDC 2020)

This eelgrass layer includes the maximum extent of eelgrass beds that have been surveyed in the San Francisco Bay shown in green. It was created by merging the Bay-wide eelgrass surveys conducted by Merkel & Associates, Inc. (Merkel) in 2003, 2009, 2014, and a Richardson Bay survey conducted by Merkel in 2019. Merkel has granted permission for public use of these data. These eelgrass surveys represent the best available data on comprehensive eelgrass extent throughout San Francisco Bay in 2021 and are developed using a combination of acoustic and aerial surveys and site-specific ground truthing. This layer may be used as a reference to determine potential direct and indirect impacts to eelgrass habitat from dredging projects. These data do not replace the need for site-specific eelgrass surveys. Data from the 2003, 2009, and 2014 eelgrass surveys and associated Merkel reports which include information on mapping methodology are available for download on the San Francisco Estuary Institute’s (SFEI) [website]. Methods for creating this layer are as follows: Downloaded the Merkel Baywide Eelgrass Surveys for 2003, 2009, and 2014 from [SFEI ]and combined into a single layer. Obtained original Richardson Bay 2019 eelgrass survey data from Merkel. Loaded all layers into ArcGIS Pro © ESRI and re-projected all data to the NAD 1983 UTM Zone 10N coordinate system. Ran union of both the SFEI and Richardson Bay 2019 layers. Merged features to create one single attribute table for eelgrass cover from all survey years. Removed extraneous columns in the attribute table, recalculated area fields based on new extent, and applied symbology.
Toxic Release Inventory (TRI) Facilities

The Toxics Release Inventory (TRI) is a federal database that contains detailed information on nearly 650 chemicals and chemical categories that over 1,600 industrial and other facilities in the state manage through disposal or other releases, recycling, energy recovery, or treatment. The data are collected from these facilities by the U.S. Environmental Protection Agency. This dataset is updated nightly from the CalEPA Regulated Site Portal. More information regarding this dataset can be found here. [CalEPA Regulated Site Portal]
Vegetation - Suisun Marsh - 2021 [ds3187]

To create the 2021 Suisun Marsh vegetation map, vegetation was interpreted from a mosaic of the true color imagery that was flown in June 2021. 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 3.1.2, and polygon attributes were recorded within a file geodatabase. All attributes were interpreted using the Suisun Marsh 2021 imagery as the base imagery. The photo interpreters obtained information primarily from the 2018 map and 2021 reconnaissance points, 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 2021 NAIP, 2021 NAIP Color Infrared, all imagery available through Google Earth (including street view), and the 2018 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. 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/3100_3199/ds3187.zip].
Clean Transportation Program

Clean Transportation Program Data 2022. The Clean Transportation Program (also known as Alternative and Renewable Fuel and Vehicle Technology Program) invests up to $100 million annually in a broad portfolio of transportation and fuel transportation projects throughout the state. The Energy Commission leverages public and private investments to support adoption of cleaner transportation powered by alternative and renewable fuels. The program plays an important role in achieving California’s ambitious goals on climate change, petroleum reduction, and adoption of zero-emission vehicles, as well as efforts to reach air quality standards. The program also supports the state’s sustainable, long-term economic development. Data within this application was last updated August 2024. For more information on the Clean Transportation Program, visit: [https://www.energy.ca.gov/programs-and-topics/programs/clean-transportation-program]
Vegetation - Liberty Island - 2012 [ds821]

This map was digitized using 2010 true-color 1-meter National Agriculture Imagery Program (NAIP) aerial imagery. The minimum mapping unit is 0.25 acre with a 10-foot minimum width. The map classification is the same as used for the Delta Vegetation and Land Use map that was based on 2002 imagery and finalized in 2007. The map [ds292] can be obtained here: [https://wildlife.ca.gov/Data/BIOS]. The report, which provides the classification detail can be obtained here: [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=18211]. Because Liberty Island was mapped as part of the Delta mapping effort, changes over the eight year period between imagery dates can be seen, most obviously land accretion and erosion and invasion of the non-native water primrose, Ludwigia. Mappers used reconnaissance-level data to refine and verify the map. The data were collected at 48 points during two field missions: 1) August 9, 2012 by land covering the levee on the western boundary of the area, and 2) August 28 - 29, 2012 by boat. All vegetation samples were marked with GPS units and can serve as long-term monitoring points. Photos taken at these GPS points can be used for future monitoring. A database of field data and the digital photos are archived at the office of the Vegetation Classification and Mapping Program (VegCAMP) of DFW. This map has not been assessed for accuracy, but over 25% of the polygons were visited during field reconnaissance. Lead staff of the program cross-checked and edited the map attributes and delineations.
Facilities from the California Environmental Reporting System (CERS)

The California Environmental Reporting System was developed by CalEPA to support the reporting of information by regulated businesses and Certified Unified Program Agencies (CUPAs) pertaining to hazardous materials and hazardous waste throughout the state. This dataset is updated nightly from the CalEPA Regulated Site Portal. More information regarding this dataset can be found here. [CalEPA Regulated Site Portal] Updated 10/4/2023.
Navarro Statements and Parcels

This service (Nav_Rip_Statements) represents Riparian Statements of Diversion and Use for the Navarro watershed clipped from the [Points of Diversion] service published by wb_publish. Points of Diversion (PODs) are locations where water is being drawn from a surface water source such as a stream or river. Each water right registered with the [California State Water Resources Control Board's Division of Water Rights] includes an identified point of diversion. Ground water extraction points (such as water supply wells) are generally not included in this dataset. Last updated: 02/21/2020 This service (Nav_Parcels) represents all parcels within the Navarro Watershed HUC 10 provided by parcels within the water49 geodatabase. The parcel boundaries should only be used for estimation purposes. The Water Board has a subscription for cadastral (parcel) GIS information with the California Department of Technology (CDT), who in turn receive the data through a contract with Digital Map Products (DMP). DMP collects parcel information from the 58 county assessors offices (the authoritative sources for this information), compiles it into a GIS dataset, and makes the data available via their LandVision web application. As part of their contract with DMP, CDT receives a quarterly snapshot of the parcel GIS information and redistributes this information to the subscriber state agencies. At the Water Boards, this information is uploaded to the water49 data library for staff use in ArcGIS. In order to facilitate the use of this data in desktop and web GIS applications, the GIS Unit has compiled the individual county layers and selected parcel attributes into a single statewide layer. For more information on the parcel attributes, please refer to the parcel data dictionary available at: http://wiki.waterboards.ca.gov/gis/lib/exe/fetch.php?media=dmp_datadictionary.pdf Please note that because there is no single standard for parcel information among the 58 county assessors, accuracy and attribution will vary across this dataset. Last updated: 02/21/2020
Vegetation Cover - Spears and Didion Ranches [ds319]

These data are the summary statistics calculated for components of the herbaceous layers, and shrubs and trees from the three 0.05-ha circular plot habitat samples each taken in 2005 at the 15 sample points at Spears and Didion Ranches, Placer County, California. These values are based on point intersections of live vegetation with a sighting tube at 25 points on eight 12.6 m transects through the 0.05-ha plot. Readings were taken in the center of each habitat sampling plot and at 4 m, 8 m, and 12 m on each of the eight transects within the plot. The transects are at 45 degree increments with one transect to the north. The herb layer is vegetation 0.5-2.0 m tall, while the tree layer vegetation is > 2.0 m tall.
Region 3 TMDL Project Areas (New)

This map represents adopted TMDL project areas for the Central Coast region. The owner of this layer is TMDL program staff at the Central Coast Water Board. Layer Attributes: 1. TMDL Project: The unique TMDL project associated with each polygon. 2. Website: Hyperlink to the specific TMDL project website. 3. Project Code: Unique numeric code associated with the project. Date Created: Data created on March 8, 2019 and updated September 14, 2023. Data includes TMDLs, adopted and in development, from September 2000 – September 2023. Source: The source of spatial data representing TMDL project areas varies by TMDL project, but typically includes one or more of the following sources: United States Geologic Survey’s (USGS) Waterbody Boundary Dataset (WBD), CalWater2.2, and special studies conducted by Santa Barbara County Flood Control, Elkhorn Slough National Estuarine Research Reserve, and California State University, Monterey. The source of TMDL project area spatial data is typically referenced in the TMDL report associated with each TMDL project. Points of Contact: For concerns regarding the TMDL specifics: * TMDL, Larry Harlan, [Larry.Harlan@waterboards.ca.gov] or 805-594-6195. * TMDL, Shanta Keeling, [Shanta.Keeling@waterboards.ca.gov] or 805-549-3464. For concerns regarding the map layer: * Nirmal Sandhar, [Nirmal.Sandhar@waterboards.ca.gov] or 916-341-5571 Use Constraints: The California Water Resources Control Board provides this data layer at no cost and with no warrantee. This dataset is not a survey document and should not be used for legal determinations. This dataset is subject to change at any time and should only be used for general reference. By using this data, the user acknowledges all limitations of the data and agrees to accept all errors stemming from its use.
Elk Home Range - West Goose Lake - 2019-2023 [ds3177]

The project lead for the collection of this data was Erin Zulliger. Elk (11 adult females, 3 adult males) were captured and equipped with GPS collars (Litetrack/Pinpoint Iridium collars, Lotek Wireless Inc., Newmarket, Ontario, Canada or Vectronic Aerospace) transmitting data from 2019-2023. The West Goose Lake herd migrates between traditional summer and winter seasonal ranges, and migration corridors, migration stopovers, and winter ranges were modeled separately for this herd, but were not a part of this analysis. Annual home ranges were modeled using year-round data to demarcate high use areas. GPS locations were fixed at 1-6 hour intervals in the dataset. To improve the quality of the data set, the GPS data locations fixed in 2D space and visually assessed as a bad fix by the analyst were removed. The methodology used for this migration analysis allowed for the mapping of the herd’s annual range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 14 elk, including 44 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution. Annual home range designations for this herd may expand with a larger sample.
California Electric Balancing Authority Areas (Retired)

A balancing authority is responsible for operating a transmission control area. It matches generation with load and maintains consistent electric frequency of the grid, even during extreme weather conditions or natural disasters. The California Independent System Operator (CAISO) is the largest of about 38 balancing authorities in the western interconnection coordinating council (WECC), handling an estimated 35 percent of the electric load in the west. CAISO manages 80 percent of the load in California and a small portion of Nevada. The main balancing authorities in California are: * [CAISO - California Independent System Operator] * [BANC - Balancing Authority of Northern California] * LADWP - Los Angeles Department of Water & Power * IID - Imperial Irrigation District * TID - Turlock Irrigation District * WALC - Western Area Power Administration, Lower Colorado * PacifiCorp West * NV Energy
Marine Life Protection Act Study Regions - R7 - CDFW [ds3178]

This data is a statewide compilation of California's Marine Life Protection Act (MLPA) Study Regions. As part of a comprehensive effort to sustain marine habitats and fisheries, the Marine Life Protection Act (MLPA) of 1999 directed the State to redesign California’s system of marine protected areas (MPAs) to function as a network. To facilitate planning, the MLPA Initiative, a public-private partnership, was formed and the state was divided into five planning regions (four coastal and the San Francisco Bay), each with its own MPA planning process. All four coastal regions have now completed their individual planning processes, leading to the statewide implementation of California's MPA network along the coast. Options for a planning process in the fifth and final region, the San Francisco Bay, have been developed for consideration at a future date. Twenty MPAs and six special closures were implemented in the north coast region, from the California/Oregon border to Alder Creek (near Point Arena), on December 19, 2012. Twenty-five MPAs and six special closures were implemented in the north central coast region, from Alder Creek (near Point Arena) to Pigeon Point, on May 1, 2010. Twenty-nine MPAs were implemented in the central coast region, from Pigeon Point to Point Conception, on September 21, 2007. Fifty MPAs and two special closures were implemented in the south coast region, from Point Conception to the California-Mexico border, on January 1, 2012. The shoreline provided in this feature is a general approximation of the mean high tide line at the time of implementation. However, it is important to note that it is not based on any elevation (tidal) data and was hand drawn based on best available aerial imagery at the time. Due to the dynamic nature of coastal environments, these boundaries may not accurately reflect the current condition or exact demarcations of the coastline. The offshore boundary is based on the National Oceanic and Atmospheric Administration (NOAA) three nautical mile maritime limit published on charts at that time.