AndreaBozzo/ceres-open-data-index huggingface dataset:
CalEnviroScreen 2.0 Score

NOTE: A more recent version of this layer is available [here] (CalEnviroScreen 3.0) The California Office of Environmental Health Hazard Assessment (OEHHA), on behalf of the California Environmental Protection Agency (CalEPA), provides CalEnviroScreen 2.0, a screening methodology that can be used to help identify communities that are disproportionately burdened by multiple sources of pollution. For more information, visit[http://egis3.lacounty.gov/dataportal/2014/06/18/calenviroscreen-2-0-2/]
Toy_Loan_Centers

This data is a representation of the Department of Public Social Services (DPSS) Toy Loan Program locations of the Toy Loan Centers that are accessible to the public. A Toy Loan Center allows children to borrow toy in the same manner in which books are borrowed from a public library. This program is administered by DPSS and supported by the Los Angeles County Board of Supervisors. To learn more about the Toy Loan Program, please visit our Toy Loan Program page: https://dpss.lacounty.gov/en/community/toy-loan.html
Safe Havens

Locations of Safe Havens in Los Angeles County where the public can bring newborns and safely surrender them within 72 hours of birth. See[http://www.babysafe.ca.gov/] This dataset is maintained through the County of Los Angeles Location Management System. The Location Management System is used by the County of Los Angeles GIS Program to maintain a single, comprehensive geographic database of locations countywide. For more information on the Location Management System, visit[http://egis3.lacounty.gov/lms/].
EJSM Scores

The Environmental Justice Screening Method (EJSM) was developed for Los Angeles County by staff at USC PERE / Occidental College who are experts in the field of Environmental Justice, who were also instrumental in helping develop CalEnviroScreen (an industry standard Environmental Justice analysis for the State of CA). This web map shows the scores throughout LA County at the Census Tract level based on hazard proximity to sensitive uses, health risk and exposure, social and health vulnerability, and climate change vulnerability. The overall scores illustrate cumulative pollution impacts that are disproportionately borne by people residing in each census tract. An additional analysis was done by the Department of Regional Planning to include 'Auto Dismantling / Metal Recycling' facilities in the final scoring. Please see the EJSM Application that was built for the Green Zones Program [here], and information about the EJSM methodology [here], and lastly, a list of data that went into the EJSM scoring [here]. For more information about the Department of Regional Planning's Green Zones Program, click [here].
Incarceration Impact (neighborhood)

The [Million Dollar Hoods] project maps incarceration in Los Angeles County and estimates the fiscal and human costs of incarceration. For additional project and data information, the project maintains a [github wiki site]. For purposes of this project, estimates specific to LASD and LAPD were combined in columns titled "Combo." To normalize data, neighborhood population estimates were used. This layer is distinct from similar upload in that this layer has supervisor district (sup_dist) and service planning area (spa) as attributes, based on "center in" spatial join. For more information, please contact [egis@isd.lacounty.gov]
Arts and Culture: Free Concerts History

Since its inception in 1947 as the Music Commission, the Department of Arts and Culture has administered funding for free concerts at venues throughout LA County as part of the Free Concerts in Public Sites Program. From June to October, concerts have been held in parks, outdoor amphitheaters, community centers, libraries, museums and more, and feature LA County artists from the Musicians Roster, representing a broad range of genres including Americana, blues, Caribbean, cumbia, mariachi, jazz, klezmer, pop, rock, and R&B. This dataset includes all concerts from 2015 through 2021. Learn more on our [Free Concerts in Public Sites] page. DATA DICTIONARY ───────────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────── Field Name │Description ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Performing Artist │Artist or group that performed the concert ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Concert Presenter │The agency or organization that organized the concert ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Concert Date │Date the concert took place ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Start Time │Time the concert began ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── End Time │Time the concert ended ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Concert Location │Name of the location where the concert took place ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Concert Address │Address of the location where the concert took place ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Supervisor District│Which of the five LA County Board of Supervisors districts of the location where the concert took place ───────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────── Year │Year the concert took place ───────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────
ARDI CFCI Project Service Areas

Project service areas are the union of priority census tracts for the project, developed based on research using the [Equity Explorer]. Use the ecaps_project_code field to link with other ARPA data sources. These are projects related or of interest to Care First & Community Investments (CFCI) - more information at the advisory committee [website]. View CFCI service areas by project and department on the [CFCI Projects Viewer].
Community Business Enterprise (point locations)

The Community Business Enterprise (CBE) Program encourages business owners who are minorities, women, disabled veterans, or disadvantaged to capitalize on opportunities in government and private-sector procurement programs. For more information, please see the [LA County Department of Consumer & Business Affairs website]. This layer is an extract of the CBE dataset in August 2021. In default settings, the layer is symbolized to highlight minority business enterprises (MBE). This layer is distinct from similar upload in that this layer has supervisor district (sup_dist) and service planning area (spa) as attributes, based on "center in" spatial join. For more information about this dataset, please contact [egis@isd.lacounty.gov]
LACoFD Map Index (Feature Layer)

This map page grid was designed and implemented by the Los Angeles County Fire Department, Information Management Division, and Geographic Information Systems Section. Wholly based on the United States National Grid (USNG), it aims to be the Los Angeles County regional grid because of its ease of use and extensive coverage. Each block measures 2,000 meters by 2,000 meters and are comprised of four 1,000 meter/1 kilometer USNG blocks. i.e. 11SLT4771, 11SLT4871, 11SLT4770 and 11SLT4870; left to right and up to down. For ease of use each 2,000 meter block is designated by a page number from 1 to 9,750, and it is inferred that the 1,000 meter divisions of each page are designated A, B, C or D; left to right and up to down. Therefore, each 1,000 meter block within this regional grid has a unique descriptor of 4 numerals and 1 letter. The region covered by the grid includes Los Angeles County completely and 2 of the islands in the Channel Islands archipelago that fall into the Los Angeles County jurisdiction. It also covers close to 100% of Orange County, 50% of Ventura County, and the Los Angeles County adjacent portions of Kern County, San Bernardino County and Riverside County, and a portion of Marine Corps Base Camp Pendleton in Northwest San Diego County. PAGE = Grid Number Reference Date: 2016 Contact Information: Los Angeles County Fire Department Geographic Information Systems Section [LACoFDGIS@fire.lacounty.gov]
CalFresh Cases (tract)

CalFresh Cases in August 2022 in Los Angeles County, count per Census Tract. The CalFresh Program (formerly known as Food Stamps) helps low-income households increase their food-buying power to meet their household’s nutritional needs. In this dataset, a "Case" could refer to an individual or a household - any recipient of CalFresh benefits. In Los Angeles County, eligibility depends on income as compared to federal poverty level and other variables. As an imperfect indicator of CalFresh "gap" - where people who are eligible have not taken advantage of the benefit - this dataset divides CalFresh cases by number of households below different income levels. Layer also has information about "public assistance" from ACS table S1702. For more information about this dataset, please contact [egis@isd.lacounty.gov] For more information about CalFresh, please visit [https://dpss.lacounty.gov/en/food/calfresh.html]
LA County Vision Zero Collision Concentration Corridors (CCC)

The CCC layer was prepared by Public Works as part of the development of the County's Vision Zero Action Plan in partnership with the Los Angeles County Department of Public Health and in collaboration with community stakeholders. A Collision Concentration Corridor is defined as any half-mile roadway segment that contained three or more fatal or severe injury collisions between January 1, 2013, and December 31, 2017. A priority score was developed for each segment by first totaling the number of fatal and severe injury collisions that occurred on that segment, and then weighting for fatal collisions, pedestrian or bicycle-involved collisions, and collisions occuring in disadvantaged areas. A disadvantaged area is defined as a community in the lowest quartile of the California Healthy Places Index. Collision Concentration Corridor Priority Score = (#_of_Fatal_& Severe_Injury_Collisions + 0.5*#_of_Fatal_Collisions_that_Involved_Any_Type_of_Travel_Mode + 0.25*#_of_Fatal_&_Severe_Injury_Collisions_that_Involved_Vulnerable_Road_Users + 0.25*#_of_Fatal_and_Severe_Injury_Collisions_that_occurred_in_a_Disadvantaged Community) / Segment_Length *The minimum segment legnth was assumed to be 0.5 miles
85th and 95th Percentile Rainfall

Rainfall gages throughout the County were selected based on spatial distribution and rainfall record length to determine the 85th and 95th percentile, 24-hour rainfall. The 85th and 95th percentile, 24-hour rainfall can be used to determine the stormwater quality design volume per Public Works Low Impact Design Manual. You can also check out this data on an interactive map located here: [https://dpw.lacounty.gov/wrd/hydrologygis/] Click [HERE] to access the REST end point for 85th Percentile Rainfall data. Click [HERE] to access the REST end point for 95th Percentile Rainfall data.
Injection Wells

The seawater barrier is a series of injection wells, installed parallel to the coast, which protect the groundwater from saltwater intrusion by continuously injecting freshwater to form a protective pressure ridge. The seawater barriers protect a 32,000,000 acre-foot groundwater reservoir from contamination by saltwater intrusion. Over five million residents of the Southern California Coastal Plain depend on this groundwater that provides approximately 40 percent of their potable water supply. Besides being the lowest cost water available, this groundwater reservoir serves as a strategic reserve in the event imported water supplies are interrupted due to drought or delivery system failure. Los Angeles County Public Works currently operates and maintains three seawater barriers, which includes a network of over 300 injection wells.
2000 Census Tracts

The CT00 layer contains polygons for census areas. The source for the information in this layer is the U.S. Bureau of the Census and appropriate county government agencies. This file is extracted from the Los Angeles County Registrar/Recorder's Precinct Information File, which is designed to match the Thomas Brothers TRNL (road network) layer. Where census boundaries are defined by streets, water, city boundaries, or other features, those arc segments are copied to the CT00 layer, so that census tracts and other layer features match perfectly.
1990 Census Tracts

The CT00 layer contains polygons for census areas. The source for the information in this layer is the U.S. Bureau of the Census and appropriate county government agencies. This file is extracted from the Los Angeles County Registrar/Recorder's Precinct Information File, which is designed to match the Thomas Brothers TRNL (road network) layer. Where census boundaries are defined by streets, water, city boundaries, or other features, those arc segments are copied to the CT00 layer, so that census tracts and other layer features match perfectly.
Wildfire RCP 8.5

──────────────────────────────┬───────────────────────────────────────────────────── Indicator │Description ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, Baseline │Annual hectares burned, 30-year average for 1976-2005 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 4.5 Mid-Century │Annual hectares burned, 30-year average for 2036-2065 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 8.5 Mid-Century │Annual hectares burned, 30-year average for 2036-2065 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 4.5 Late-Century│Annual hectares burned, 30-year average for 2066-2095 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 8.5 Late-Century│Annual hectares burned, 30-year average for 2066-2095 ──────────────────────────────┴───────────────────────────────────────────────────── Source: Cal-Adapt Data: Wildfire Simulations for California’s Fourth Climate Change Assessment, University of California, Merced + Wildfire Simulations Derived Products, Geospatial Innovation Facility - University of California, Berkeley.
Wildfire RCP 4.5

──────────────────────────────┬───────────────────────────────────────────────────── Indicator │Description ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, Baseline │Annual hectares burned, 30-year average for 1976-2005 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 4.5 Mid-Century │Annual hectares burned, 30-year average for 2036-2065 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 8.5 Mid-Century │Annual hectares burned, 30-year average for 2036-2065 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 4.5 Late-Century│Annual hectares burned, 30-year average for 2066-2095 ──────────────────────────────┼───────────────────────────────────────────────────── Wildfire, RCP 8.5 Late-Century│Annual hectares burned, 30-year average for 2066-2095 ──────────────────────────────┴───────────────────────────────────────────────────── Source: Cal-Adapt Data: Wildfire Simulations for California’s Fourth Climate Change Assessment, University of California, Merced + Wildfire Simulations Derived Products, Geospatial Innovation Facility - University of California, Berkeley.
Extreme Precipitation Low Emissions RCP45

Extreme precipitation data from Cal-Adapt. Includes baseline, mid-century, and late-century projections by 6km grid cell. ───────────────────────────────────────────┬────────────────────────────────────────────────────────────────────────── Indicator │Description ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, Baseline │95th percentile daily maximum precipitation, 30-year average for 1976-2005 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 4.5 Mid-Century │95th percentile daily maximum precipitation, 30-year average for 2036-2065 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 8.5 Mid-Century │95th percentile daily maximum precipitation, 30-year average for 2036-2065 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 4.5 Late-Century│95th percentile daily maximum precipitation, 30-year average for 2066-2095 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 8.5 Late-Century│95th percentile daily maximum precipitation, 30-year average for 2066-2095 ───────────────────────────────────────────┴────────────────────────────────────────────────────────────────────────── Source: Cal-Adapt. Data: LOCA Downscaled CMIP5 Projections (Scripps Institution of Oceanography), Gridded Observed Meteorological Data (University of Colorado, Boulder).
Extreme Heat Low Emissions RCP 4.5

Extreme heat data from Cal-Adapt. Includes baseline, mid-century, and late-century projections by 6km grid cell. ──────────────────────────────────┬──────────────────────────────────────────────────────────────────────── Indicator │Description ──────────────────────────────────┼──────────────────────────────────────────────────────────────────────── Extreme Heat, Baseline │95th percentile daily maximum temperature, 30-year average for 1976-2005 ──────────────────────────────────┼──────────────────────────────────────────────────────────────────────── Extreme Heat, RCP 4.5 Mid-Century │95th percentile daily maximum temperature, 30-year average for 2036-2065 ──────────────────────────────────┼──────────────────────────────────────────────────────────────────────── Extreme Heat, RCP 8.5 Mid-Century │95th percentile daily maximum temperature, 30-year average for 2036-2065 ──────────────────────────────────┼──────────────────────────────────────────────────────────────────────── Extreme Heat, RCP 4.5 Late-Century│95th percentile daily maximum temperature, 30-year average for 2066-2095 ──────────────────────────────────┼──────────────────────────────────────────────────────────────────────── Extreme Heat, RCP 8.5 Late-Century│95th percentile daily maximum temperature, 30-year average for 2066-2095 ──────────────────────────────────┴──────────────────────────────────────────────────────────────────────── Source: Cal-Adapt. Data: LOCA Downscaled CMIP5 Projections (Scripps Institution of Oceanography), Gridded Observed Meteorological Data (University of Colorado, Boulder).
Gender Identity by SPA (CHIS 2021)

Population and percent identify transgender or gender non-conforming by Service Planning Area (SPA) from California Health Interview Survey (CHIS), 2015-2021 and 2019-2021 pooled years. Symbolized on the [Equity Explorer] by % Adults Transgender or Gender Non-conforming, years 2015-2021 (field = tgi_adult_pct_2015_2021).
Extreme Precipitation Low Emissions RCP 8.5

Extreme precipitation data from Cal-Adapt. Includes baseline, mid-century, and late-century projections by 6km grid cell. ───────────────────────────────────────────┬────────────────────────────────────────────────────────────────────────── Indicator │Description ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, Baseline │95th percentile daily maximum precipitation, 30-year average for 1976-2005 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 4.5 Mid-Century │95th percentile daily maximum precipitation, 30-year average for 2036-2065 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 8.5 Mid-Century │95th percentile daily maximum precipitation, 30-year average for 2036-2065 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 4.5 Late-Century│95th percentile daily maximum precipitation, 30-year average for 2066-2095 ───────────────────────────────────────────┼────────────────────────────────────────────────────────────────────────── Extreme Precipitation, RCP 8.5 Late-Century│95th percentile daily maximum precipitation, 30-year average for 2066-2095 ───────────────────────────────────────────┴────────────────────────────────────────────────────────────────────────── Source: Cal-Adapt. Data: LOCA Downscaled CMIP5 Projections (Scripps Institution of Oceanography), Gridded Observed Meteorological Data (University of Colorado, Boulder).
Heat Refuge

Accessibility to public cooling places under various speeds. * acc_slow 'cooling center accessibility when walking speed at 1.4 km/hr' * acc_med 'cooling center accessibility when walking speed at 3.5 km/hr' * acc_fast 'cooling center accessibility when walking speed at 5.9 km/hr' Source: Fraser AM, Chester MV, Eisenman D, et al. Household accessibility to heat refuges: Residential air conditioning, public cooled space, and walkability. Environment and Planning B: Urban Analytics and City Science. 2017;44(6):1036-1055. doi:10.1177/0265813516657342
DCFS All Children in Foster Care 2021

────────────────────────┬────────────────────────────────────────────────────────┬──────────────────────────────────── Variable │Description │Time Frame ────────────────────────┼────────────────────────────────────────────────────────┼──────────────────────────────────── Children in foster care │Point in time counts of children placed in Foster Care. │Point in time data as of 12/31/2021 ────────────────────────┴────────────────────────────────────────────────────────┴──────────────────────────────────── If an estimated child population for a CSA for any of the above categories (denominator) was 50 or less, the number of referrals or cases (numerator) for that ethnicity was reduced to zero. CSAs range in size and population, from the City of Long Beach to small unincorporated enclaves encompassing a few city blocks. Communities that had low overall populations might have a “Gossip Factor”, in which counts for all ethnicities were reduced to zero.
Disaster Routes

Description courtesy of LA County DPW Disaster Routes website ([http://dpw.lacounty.gov/dsg/disasterroutes/]) : Disaster Routes play a primary role in disaster response and recovery. During a disaster and immediately following, Disaster Routes are used to transport emergency equipment, supplies and personnel into an affected area. Disaster Routes are also utilized by fire, emergency medical services and others involved with public safety for life saving measures. Knowing the status of the routes benefits all jurisdictions in the Operational Area by saving valuable time and minimizing last minute rerouting. Each jurisdiction is responsible for reporting road closures and road damages in their area. Disaster routes have priority for clearing, repairing and restoration over all other roads.