AndreaBozzo/ceres-open-data-index huggingface dataset:
Census Tract Boundaries - SCAG Region

Census tracts generally have a population size of 1,200 to 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. Census tract boundaries generally follow visible and identifiable features. Census tract boundaries may follow legal boundaries (e.g., MCD or incorporated place boundaries in some states to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses). State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas.
Air Basin Districts - SCAG Region

The California Air Basins layer is a polygon shapefile coverage representing the 15 California air basins, as defined in state statute and regulation. See the California Health and Safety Code, Section 39606 et seq. and California Code of Regulations, Title 17, Section 60100 et seq. Shapefile coverage. This data layer shows the air basin boundaries and their names, as of October 2014. The file has been updated using as main source the: California Environmental Protection Agency Air Resources Board maps (http://www.arb.ca.gov/knowzone/basin/basin.htm)
California Air Districts - SCAG Region

The California Air Districts layer is a polygon shapefile coverage representing the California air pollution control and air quality management districts, as defined in federal and state law. See 40 CFR, Chapter I Section 81, et seq., and California Health and Safety Code, Section 40000 et seq. Shapefile coverage. This data layer shows the air district boundaries and their names as of October 2009. The file has been updated using as main source the: California Environmental Protection Agency Air Resources Board maps (http://www.arb.ca.gov/capcoa/dismap.htm).
Flood Hazard Zones - SCAG Region

FEMA prepares the flood maps to show the extent of flood hazard in a flood prone community by conducting engineering studies called “Flood Insurance Studies (FISs). From the study, FEMA delineate Special Flood Hazard Areas (SFHAs), which are subject to inundation by a flood that has a 1 percent or greater chance of being equaled or exceeded during any given year. This type of flood is commonly referred to as ‘the 100-year flood’ or base flood. The 100-year flood has a 26 percent chance of occurring during a 30 year period, the length of many mortgages. The 100-year flood is a regulatory standard used by Federal and most State agencies to administer floodplain management programs. The FIRM includes data on the 100-year (1% annual chance of occurring) and 500-year (0.2% annual chance of occurring) floodplains. The flood maps developed by FEMA are primary tools for state and local governments to mitigate the effects of flooding in their communities. The data are available to the public at FEMA’s Map Service Center (https://msc.fema.gov/portal/). You may also request the related documents or other maps, such as FIS result report, or a Flood Boundary and Floodway Map (FBFM). For more information on the FIRM, refer to their website at https://www.fema.gov/flood-insurance-rate-map-firm.NOTES: This data was reviewed by local jurisdictions and reflects each jurisdiction's input received during the SCAG's 2020 RTP/SCS Local Input and Envisioning Process. The updated flood zone and subtype categories are contained in 'FLD_ZONE' and 'ZONE_SUBTY' fields.
Coastal Inundation High 2FT

These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr These data depict the potential inundation of coastal areas resulting from a projected 1 to 6 feet rise in sea level above current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988). The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.
Coastal Inundation Low 2FT

These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr These data depict the potential inundation of coastal areas resulting from a projected 1 to 6 feet rise in sea level above current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988). The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.
Priority Growth Areas (PGA) - SCAG Region

This is the Priority Growth Areas (PGAs) in the SCAG Region developed for Connect SoCal, the 2020-2045 Regional Transportation Plan/Sustainable Communities Strategy (RTP/SCS). PGAs include High Quality Transit Areas, Transit Priority Areas, Job Centers, Livable Corridors, Neighborhood Mobility Areas, Spheres of Influence (outside of constrained areas).High Quality Transit Area (HQTA): Generally a walkable transit village or corridor, consistent with the adopted Regional Transportation Plan and Sustainable Communities Strategy (RTP/SCS), and is within one half-mile of a well- serviced transit stop or a transit corridor with 15-minute or less service frequency during peak commute hours. Freeway transit corridors with no bus stops on the freeway alignment do not have a directly associated HQTA. Additional information on this definition is included in the Connect SoCal Transit Technical Report;Transit Priority Area (TPA): An area within one-half mile of a major transit stop that is existing or planned. This includes an existing rail transit station or bus rapid transit station, a ferry terminal served by bus or rail transit service, or the intersection of two or more major bus routes with a frequency of service interval of 15 minutes or less during the morning and afternoon peak commute periods. (Based on CA Public Resources Code Section 21099 (a)(7) and CA Public Resources Code Section 21064.3);Job Centers: Areas with significantly higher employment density than surrounding areas. Over 60 subareas are identified as having peak job density and capture locally significant job centers throughout all six counties in the region;Neighborhood Mobility Areas (NMAs): Areas with high intersection density (generally 50 intersections per square mile or more), low to moderate traffic speeds,and robust residential retail connections that can support the use of Neighborhood Electric Vehicles or active transportation modes for short trips; Livable Corridors: This arterial network is a subset of the high quality transit areas based on level of transit service and land use planning efforts, with a few additional arterials identified through corridor planning studies funded through the Sustainability Planning Grant program (currently the Sustainable Communities Program); andSpheres of Influence (outside of absolute and variable constrained areas): Existing or planned service areas and within the planning boundary outside of an agency’s legal boundary; data for these areas was accessed by SCAG from each county’s Local Agency Formation Commission (LAFCO) in 2016.PLEASE NOTE this data is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose.
CAL FIRE Facilities for Wildland Fire Protection

This dataset includes fire stations and other facilities owned and operated by CALFIRE or by counties or other local government entities. The "Type" of facility includes five categories of Fire Station: * Fire Station - Schedule B (funded by the State for wildland fire protection - commonly referred to as "Schedule B" funding) * Fire Station - Schedule A (funded by a local agency under a cooperative fire agreement with the State) * Fire Station - Schedule A/B (Funded by both the State and by a local agency) * Fire Station - Contract County (funded by the State and operated by the county under contract - referred to as "Greybook" funding) * Fire Station - Local funded and volunteer. Only for some areas. Not exhaustive. Other Types include Sacramento Administration, Region Headquarters, State Fire Marshal Office, Operations Center, Unit Headquarters, Air Attack Base, Helitack Base, Nursery, Conservation Camp, Youth Conservation Camp, Lookout, Communications Site, Combined Communications Site and Lookout, Emergency Command Center, Interagency Emergency Command Center, Equipment Facility, State Forest Visitor Center, Demonstration Site Area, Training Center, Headquarters.
Communities of Concern - SCAG Region

Using data from the 2009-13 ACS 5 Year Estimates at the Census Designated Place level (CDP), calculate total percentage of minority population and total percentage of households in poverty for each CDPAlso using census tract data from the 2009-13 ACS 5 Year Estimates, tabulate percentage of minority population and total percentage of households in poverty for each City of Los Angeles Community Planning Area (CPAs)Intersect CPAs with Census Tracts and tabulate new totals for partial CPA/Census Tracts based on spatial interpolationSum total Poverty, households, minority, and population values for each CPAMerge CDPs and City of Los Angeles Community Planning Areas to create a single “Place” file for the entire SCAG region. Remove the City of Los Angeles CDP from layer. Tabulate % of households in poverty and % of minority population for each “Place”Using ranked sorting, select the places that are in the upper third in the SCAG region for both % of households in poverty (x > 0.169156) and% minority (x > 0.768549)Identify those places and export to new shapefile – “Communities_of_Concern”Union “Communities_of_Concern” shapefile with Tier2 TAZ file and tabulate % of each tract that falls in “Communities_of_Concern”Calculate total square meters in Tier2 TAZ shapefileUnion shapefile with “Communities_of_Concern”Tabulate new square meters in Tier 2 TAZ shapefileExport attribute table to DBFLoad DBF in excel and use pivot tables to tabulate total acreage by TAZ only for tracts that intersect with “Communities_of_Concern”. Create new DBF with results and load into ArcMapJoin new DBF with Tier2 TAZ shapefile and calculate % of TAZ that falls in “Communities_of_Concern” only for the records that join. All other TAZs remain 0%, if they do not intersect.
CalEnviroScreen 3.0 (by Census Tract) - SCAG Region

The Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), announces the availability of the Communities Environmental Health Screening Tool: CalEnviroScreen Version 3.0 (CalEnviroScreen 3.0). CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The 3.0 report and supporting documents are available at: http://oehha.ca.gov/calenviroscreen/report/calenviroscreen-30
Protected Open Space Areas - SCAG Region

The California Protected Areas Database (CPAD) contains data on lands owned in fee by governments, non-profits and some private entities that are protected for open space purposes. Data includes all such areas in California, from small urban parks to large national parks and forests, mostly aligned to assessor parcel boundaries. Data is collected by Holdings (parcels) which are aggregated to Units (commonly named areas within a county) and Super Units (commonly named areas generally).
Specific Plan Boundary

SCAG has developed its regional geospatial dataset of land use information at the parcel-level (approximately five million parcels) for 197 local jurisdictions in its region. The regional land use dataset is developed (1) to aid in SCAG’s regional transportation planning, scenario planning and growth forecasting, (2) facilitate policy discussion on various planning issues, and (3) enhance information database to better serve SCAG member jurisdictions, research institutes, universities, developers, general public, etc. It is the most frequently and widely utilized SCAG geospatial data. In 2020, SCAG successfully released the final 2016 regional land use dataset, developed for the Final Connect SoCal 2020, the 2020-2045 Regional Transportation Plan/Sustainable Communities Strategy (RTP/SCS), which includes general plan land use, specific plan land use, zoning code and existing land use information. The 2016 regional land use dataset was reviewed by local jurisdiction, and SCAG staff made every effort to ensure the data reflect local jurisdiction’s input received during the Connect SoCal 2020 Local Input and Envisioning Process. After the successful adoption of Connect SoCal 2020, SCAG has initiated the 2019 regional land use data development process to update parcel-based land use information in preparation for Connect SoCal 2024. From late 2019 to early 2020, SCAG staff obtained the 2019 parcel boundary GIS file and tax roll property information from county assessor’s offices. After months of data standardization and clean-up process, SCAG staff released the 2019 parcel boundary GIS files along with the 2019 Annual Land Use dataset in February 2021. In December 2021, SCAG staff successfully developed the preliminary dataset of the 2019 regional land use data and released the draft SCAG Data/Map Book in May 2022. The preliminary land use data was reviewed by local jurisdictions during the Local Data Exchange (LDX) process for Connect SoCal 2024. As a part of the 2019 regional land use data development process, SCAG staff made every effort to review the local jurisdictions’ inputs and comments and incorporated any updates to the regional land use datasets. The products of this project will be used as one of the key elements for Connect SoCal 2024 plan development, growth forecasting, scenario planning, and SCAG’s policy discussion on various planning issues, as well as Connect SoCal key growth strategy analysis. Note: This dataset is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Users should consult with each local jurisdiction directly to obtain the official land use information.
COVID-19 Vulnerability Indicators

The COVID-19 pandemic is having severe and unprecedented implications on a wide range of areas which SCAG plans for including public health, transportation, housing, public finance, and the economy more generally. The purpose of the indicators is to provide context and insightful information for local jurisdictions and stakeholders to better understand the impacts of the pandemic in numbers. It is important to note that the variables can be updated and expanded based upon comments and new research available.Methodology:A comprehensive list of vulnerability indicators is made up of slightly more than 70 variables from various sources from the Census American Community Survey(ACS), California State Controller’s Office, InfoUSA, and the California Tax Credit Allocation Committee/Department of Housing and Community Development(TCAC/HCD). This dataset provides a wide range of variables related to economic, social, health, and housing vulnerability indicators. The data were collected in April 2020
Building Climate Zones

Building Climates Zones of California Climate Zone Descriptions for New Buildings - California is divided into 16 climatic boundaries or climate zones, which is incorporated into the Energy Efficiency Standards (Energy Code). Each Climate zone has a unique climatic condition that dictates which minimum efficiency requirements are needed for that specific climate zone. The numbers used in the climate zone map don't have a title or legend. The California climate zones shown in this map are not the same as what we commonly call climate areas such as "desert" or "alpine" climates. The climate zones are based on energy use, temperature, weather and other factors.
California Land Ownership

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves: 1) snapping federal data sources to parcels; 2) clipping to the FRA footprint; 3) overlaying the federal data sources and using a hierarchy when sources overlap to resolve coding issues (BIA, UFW, NPS, USF, BLM, DOD, ACE, BOR); 4) utilizing an automated process to merge “unknown” FRA slivers with appropriate adjacent ownerships; and 5) a manual review of FRA areas not assigned a federal agency by this process. Non-Federal ownership information was obtained from the California Protected Areas Database (CPAD), was clipped to the non-FRA area, and an automated process was used to fill in some sliver-gaps that occurred between the federal and non-federal data. Southeastern Desert Area: CAL FIRE does not devote the same level of resources for maintaining SRA data in this region of the state, since we have no fire protection responsibility. This includes almost all of Imperial County, and the desert portions of Riverside, and San Bernardino Counties. In these areas, we used federal protection areas from the current version of the Direct Protection Areas (DPA) dataset. Due to the fact that there were draw-issues with the previous version of ownership, this version does NOT fill in the areas that are not assigned to one of the owner groups (it does not cover all lands in the state). Also unlike previous versions of the dataset, this version only defines ownership down to the agency level - it does not contain more specific property information (for example, which National Forest). The option for a more detailed future release remains, however, and due to the use of automated tools, could always be created without much additional effort.This dataset includes a representation to symbolize based on the Own_Group field using the standard color scheme utilized on DPA maps.For more details about data inputs, see the Lineage section of the metadata. For detailed notes on previous versions, see the Supplemental Information section of the metadata.
California Fault Traces

This data set contains the Alquist-Priolo Earthquake Fault Zones and fault traces as shown on the Official Alquist-Priolo Earthquake Fault Zones Map of the {quadName} quadrangle. The dataset is comprised of polygons that form regulatory zone boundaries (Alquist-Priolo Earthquake Fault Zones), lines that show identified fault traces, and label points and leaderlines for fault trace annotation. These features delineate areas where surface fault rupture previously has occurred, or where local topographic, geological, and geotechnical conditions indicate a potential for permanent ground displacements such that mitigation by avoidance as stated in Public Resources Code Section 2621.5 would be required.