AndreaBozzo/ceres-open-data-index huggingface dataset:
BLM AK Metlakatla Withdrawal

Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. Alaska, being a state within the Public Land Survey System (PLSS), describes land to the aliquot part (subsections of larger land plots) where ever possible. Where data is not able to be described with an aliquot part, the data is generalized to the nearest PLSS section (640 acres). Natural boundaries, such as ridge lines and rivers, are examples where aliquot part descriptions can not be used. USS and Rectangular survey data has not been integrated when creating the geospatial depiction from database records. At this time, all positions are as calculated or as derived from township and section protraction.

Tags: alaska, ancsa, boundaries, d-1, d1, geospatial, land-status, land-use-planning, lands, management, planningcadastre, plo, public-land-order, withdrawal
Organization: Department of the Interior
Sidewalk Inventory

This data layer represents the sidewalks located along roadways for the City of Bloomington. It includes sidewalks maintained by the City of Bloomington as well as other known sidewalks. The data also contains sidewalks which do not exist, noted as "no sidewalk". It is intended to represent the centerline of the sidewalk but positional placement varies.

Tags: gis, maps, pedestrian, sidepaths, sidewalks
Organization: City of Bloomington
Zircon U-Pb geochronology for bedrock samples from the West Susitna STATEMAP project, southcentral, Alaska

Zircon U-Pb geochronology for bedrock samples from the West Susitna STATEMAP project, southcentral, Alaska, Raw Data File 2026-8, presents zircon uranium-lead (U-Pb) geochronologic data analyzed using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS). The Alaska Division of Geological & Geophysical Surveys (DGGS) staff collected ten samples for U-Pb dating during the 2024 field season as part of the West Susitna STATEMAP project. The project is a 1:50,000-scale geologic mapping initiative to characterize geology, assess geologic hazards, and investigate tectonic features within a region of increasing interest for resource development, alternative energy, and recreation. The study area lies in the West Susitna region of southcentral Alaska. It spans approximately 500 mi2 across the Tyonek C-3, C-4, D-4, and D-5 quadrangles, including approximately 50 miles of the proposed West Susitna Access Corridor, which connects Anchorage to the Happy River valley on the western margin of the Susitna Basin. Geochronological analyses were obtained to constrain the ages of mapped bedrock units and support tectonic interpretations in the map area. These data are provided as a Raw Data File under an open end-user license and are available on the DGGS website: http://doi.org/10.14509/31972.

Tags: age dates, analyses, analyses and sampling, analytical lab results, analytical results, bear creek, bedrock, bedrock geology, beluga mountain, berriasian, canyon creek, chemistry, clear creek, contact creek, cretaceous, dacite, deep creek, dggs, dickason mountain, engineering geology, eocene, friday creek, gabbro, geochronology, geologic, geologic samples, geology, hayes river, hornblende, igneous, igneous rocks, interpretation, isotopes, la-icpms, lab methods, laser ablation, lead, methods, miocene, neogene, outcrop, outcrop samples, paleocene, paleogene, petrogenesis, provenance, pyroclastics, redoubt mining district, rhyolite, rocks, sample location, serravallian, skwentna river, southcentral alaska, statemap project, talachulitna river, tephra, tephra deposits, tephrochronology, tephrostratigraphy, texas creek, thanetian, tuff, u-pb, u-pb zircon, uranium, volcanic, volcanic deposits, volcanic rocks, volcaniclastic, volcaniclastic deposits, volcaniclastics, yentna mining district, ypresian, zircon
Organization: State of Alaska
Lidar-derived elevation data for upper Barry Arm fjord, southcentral Alaska, collected July 27, 2022

Lidar-derived elevation data for upper Barry Arm fjord, southcentral Alaska, collected July 27, 2022, Raw Data File 2026-9, provides a lidar-derived classified point cloud, digital terrain model (DTM), surface model (DSM), and intensity model for Upper Barry Arm fjord with focus on the Barry Arm landslide, northeast of Whittier in Prince William Sound, southcentral Alaska, during near snow-free ground conditions. The goal of the survey is to provide snow-free surface elevation data to assess landslide movement using repeat surveys during snow-free conditions. Airborne data and ground control were collected on July 27, 2022, and subsequently processed in Terrasolid and ArcGIS. These data are provided as a Raw Data File under an open end-user license and are available on the DGGS website (http://doi.org/10.14509/32062).

Tags: aerial, aerial geology, barry arm, barry glacier, cascade glacier, debris avalanche, debris flow, dggs, digital elevation model, digital surface model (dsm), digital terrain model, elevation, engineering, engineering geology, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, glacial, glacial deposits, glacial geology, glacial geomorphology, glacial processes, hazards, landslide, landslide susceptibility, las index shapefile, lidar, lidar intensity image, lidar las file format, point cloud data, remote sensing, rock avalanche, rockfall, slope, slope instability, southcentral alaska, surface, surficial, surficial geology, topography, unconsolidated deposits
Organization: State of Alaska
Housing Sustainability Districts

CA Govt. Code Section 66200 gives local jurisdictions incentives to create Housing Sustainability Districts (HSDs) to encourage housing production on infill sites near public transportation. Housing projects that are compliant with applicable general plan and zoning standards are eligible for streamlined approval by the City, and must be approved within 120 days of receipt of a complete application. There must be an approved Environmental Impact Report (EIR) in the area to establish an HSD, and HSD projects must adopt and implement any applicable mitigation measures.

Central South of Market Housing Sustainability District (CSOMA HSD): Planning Code Section 343 establishes a Housing Sustainability District within the Central SoMa Plan Area.

Housing Choice-San Francisco Housing Sustainability District (HC-SF HSD): Planning Code Section 344 establishes the Housing Choice Sustainability District as part of the Family Zoning Plan and Housing Choice Program. The HC-SF HSD is comprised of all parcels in the R-4 Height and Bulk District, except parcels zoned as RH or RM.

Additional details can be found here:  https://sfplanning.org/sites/default/files/forms/HSD_SupplementalApplication.pdf

Organization: City of San Francisco
TLC Vehicles Involved in Crashes (Local Law 31)

This dataset aggregates the number of crashes reported to TLC that involve a TLC-licensed vehicle. The crash data is broken down by industry and month. Crash counts include all crashes, crashes with injury of any severity, crashes with critical injury, and crashes involving a fatality. Please note that multiple TLC-licensed vehicles can be involved in a single crash.

Tags: crash, crashes, local-law-31, tlc-vehicles
Organization: City of New York
King County Ambient Streams Monitoring - Site Designated Uses and Water Quality Criteria

This dataset contains information on King County ambient stream monitoring program sites, including their designated uses and associated water quality standards, as assigned by the Washington Department of Ecology.

For more information on this program, visit https://kingcounty.gov/en/dept/dnrp/nature-recreation/environment-ecology-conservation/science-services/streams-monitoring

For more information on water quality standards, visit https://app.leg.wa.gov/WAC/default.aspx?cite=173-201A-200

Tags: freshwater, streams, water-quality
Organization: King County, Washington
A Census Tract (2010) Profile ACS 5-year Estimates 2006-2010

<i>Data from:  </i><a href='https://www.census.gov/programs-surveys/acs/news/data-releases/2010/release.html#5yr' target='_blank' rel='nofollow ugc noopener noreferrer'>American Community Survey, 5-year Series 2006-2010</a><div><span style='color:rgb(51, 51, 51);'><br /></span></div><div><font color='#333333'>King County, Washington census tracts with American Community Survey data d</font>erived from the U.S. Census Bureau's demographic profiles (DP02-DP05).  The geo service includes over 50 attributes of the most frequently requested data.</div><div><br /></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called &quot;Community Reporting Areas&quot;. These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. </span><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.</span><br /></div><div><br /></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Please see the </span><a href='https://seattlecitygis.maps.arcgis.com/home/item.html?id=9436b7f938204deab664ea2f59e29b17' target='_blank' rel='nofollow ugc noopener noreferrer'>item page for the source map service</a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif' style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'> for more information.</font><br /></div>

Tags: acs, acs5y10, census, demographics, gis, planning, seattle-gis-open-data, tracts
Organization: City of Seattle
Height and Weight Limits for Trucks and Large Vehicles

Locations where the height and weight limits of the street facilities restrict trucks and large vehicles from safely traveling through or under them. Height limits include the posted (maximum safe) height for vehicles to travel under viaducts, overpasses, bridges, CTA “L” train tracks, overhead signage, and any other structure spanning the roadway. Height limits have a single address, whereas weight limits have a start and end location because they mostly apply to a segment of a roadway, not just a single point or address. In addition to facilities with height and weight limits, City boulevards where trucks are generally restricted are listed here with 5-ton weight limits. 1 ton = 2,000 lbs.

On many city streets, trucks and large vehicles require a permit to travel, based on the Chicago Municipal Code <a href="https://codelibrary.amlegal.com/codes/chicago/latest/chicago_il/0-0-0-2646790#JD_Ch.9-72" target="_blank">Chapter 9-72: Size and Weight Limits</a>. Streets requiring permits for large vehicles to use that facility are not listed in this dataset. Please refer to the City of Chicago’s <a href="https://www.chicago.gov/city/en/depts/cdot/provdrs/construction_information/svcs/online-permit-portal.html" target="_blank">Online Permit Portal</a> for information on roadway restrictions and permit requirements for large vehicles. Users can get permits to perform truck travel along industrial corridors, boulevards, Lake Shore Drive, and other restricted streets.  

On the <a href="https://www.ChicagoTrafficTracker.com" target="_blank">Chicago Traffic Tracker Web site</a>, it is possible to get a truck route from any origin and destination in Chicago based on the truck’s height and weight features. The Chicago Traffic Tracker Web site or this dataset is not the source for determining if a truck requires a permit to operate on a city street. For this, refer to the online permit portal referenced above. The word “restriction” is used in the dataset to better describe the physical limitation of the street facility. It may also refer to the statutory restriction on operating a certain category of vehicle on that facility. However, not all the statutory restrictions are in this dataset.

Disclaimer: All maps/data you may receive (the "data") from this dataset are "as is" and without any warranty or representation whatsoever, express or implied, whether for accuracy, timeliness, completeness, fitness for a particular purpose or otherwise. The data on this website are provided here for reference purposes only. While every effort is made to provide as much accurate information as possible, the City of Chicago, any of its departments, or any of its employees, cannot be held liable for the accuracy and completeness of this information.

Tags: restrictions, streets, transportation, truck
Organization: City of Chicago
ITS4US HIRTA Health Connector Performance Evaluation Dataset

This dataset has trip level information for Health Connector rides taken from October 1, 2024 to December 31, 2025. Any information that could identify the rider has been stripped. Each row corresponds to one ride request.

Tags: intelligent-transportation-systems-its, its-joint-program-office-jpo, moe, ridership, transit, transport-to-medical-appointments, underserved-transportation
Organization: Department of Transportation
Coupeville Wharf Mooring Raw Data Output

This is a raw and uncorrected dataset from the mooring at the Coupeville Wharf. This data has not been reviewed or corrected in any manner. It should be used with extreme caution as uncorrected data may lead to misinterpretation. These anomalies occur as a result of naturally occurring phenomena. Corrected data will be available at a future date.

Special time considerations: Date and times have PST timezone applied. Time does not change with daylight savings. 

Geography: The mooring is located at Latitude 48.2228253 and Longitude -122.6884251

***Disclaimer***
Marine mooring data provided by King County -- including meteorological and water quality data --are preliminary and have not received final approval. Most data are relayed by satellite or other telemetry and may have received little or no review. Inaccuracies in the data may be present because of instrument malfunctions or physical changes at the measurement site. Subsequent review may result in significant revisions to the data.

Data users are cautioned to consider carefully the provisional nature of the information before using it for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Information concerning the accuracy and appropriate uses of these data may be obtained emailing the Program Managers at MarineWQ@kingcounty.gov.

Tags: buoy, conductivity, dissolved-oxygen, hcep, hydrosphere, mooring, nitrate, nitrogen, oxygen, ph, pressure, salinity, suna, temperature, turbidity, whidbey-basin
Organization: King County, Washington
Assessor - Parcel Proximity

Cook County 10-digit parcels with attached distances to various spatial features.

When working with 10-digit Parcel Index Numbers (PINs) make sure to zero-pad them to 10 digits. Some datasets may lose leading zeros for PINs when downloaded. 10-digit PINs do not identify individual condominium units.

Additional notes:<ul><li>Centroids are based on <a href="https://datacatalog.cookcountyil.gov/Property-Taxation/ccgisdata-Parcel-2021/77tz-riq7">Cook County parcel shapefiles</a>.</li>
<li>Older properties may be missing coordinates and thus also missing attached spatial data (usually they are missing a parcel boundary in the shapefile).</li>
<li>Attached spatial data does NOT all go back to 2000. It is only available for more recent years, primarily those after 2012.</li>
<li>This dataset contains data for the current tax year, which may not yet be complete or final. Assessed values for any given year are subject to change until <a href="https://www.cookcountyassessor.com/assessment-calendar-and-deadlines">review and certification of values by the Cook County Board of Review</a>, though there are a few rare circumstances where values may change for the current or past years after that.</li>
<li>Rowcount for a given year is final once the Assessor <a href="https://www.cookcountyassessor.com/assessment-calendar-and-deadlines">has certified the assessment roll</a> all townships.</li>
<li>Data will be updated annually as new parcel shapefiles are made available.</li></ul>For more information on the sourcing of attached data and the preparation of this dataset, see the <a href="https://github.com/ccao-data/wiki/blob/master/SOPs/Open-Data.md">Assessor's Standard Operating Procedures for Open Data</a> on GitHub.

<a href="https://datacatalog.cookcountyil.gov/stories/s/gzdr-q7c4">Read about the Assessor's 2025 Open Data Refresh.</a>

Tags: cook-county-assessor, property-tax
Organization: Cook County of Illinois
Maryland Occupational Employment and Wage Statistics

Maryland Occupational Employment and Wage Statistics - Workforce Information & Performance

The following description was retrieved from the Maryland Department of Labor website at: https://www.dllr.state.md.us/lmi/wages/

Sources of projected employment data
The Maryland estimates are developed in the Office of Workforce Information and Performance within the Maryland Department of Labor. Data used to develop the estimates is generated from the Maryland Occupational Employment and Wage Statistics (OEWS) Program and the Quarterly Census of Employment and Wages (QCEW) Program. Both programs are conducted in cooperation with the U. S. Bureau of Labor Statistics.

Data
All data are based on place of work and represent the numbers of jobs, both full-time and part-time. Employment numbers are rounded to the nearest 10. Wages are rounded to the nearest $0.01 for hourly wages and $1.00 for annual wages. If one of the data elements does not meet publication criteria, a blank may appear.

Occupational data
Occupations covered reflect the Standard Occupational Classification (SOC) System. Many occupations are not identified separately in this classification system and are included in aggregate categories. Additionally, some occupational data are suppressed due to publication standards.

Local Workforce Development Area Occupational Employment and Wage Statistics
The Maryland Department of Labor has provided several extensions to the official OEWS data series (which have been developed in cooperation with the Bureau of Labor Statistics). These additional products have not been validated by BLS and are not, therefore, official BLS data series.

The Maryland Department of Labor feels, however, that they provide additional information that is useful to the users of Maryland Department of Labor data.

*Note: Entry level wages were calculated using the mean of the first third of the wage distribution. Experienced Level wages were calculated using the mean of the upper two-thirds of the wage distribution.

Disclaimer - The accuracy of the data is subject to both sampling and non-sampling error. While this data and related job outlook information can provide valuable inputs to the career decision-making process, they should not be the sole basis of a career choice.

Tags: employers, gwdb, jobseeker, lwdb, workforce
Organization: State of Maryland
WaTech - IT spend by Cost Pool - Industry Benchmarking

This dataset compares information technology (IT) spending by Cost Pool in the State of Washington against industry benchmarks. Benchmarking is an analysis tool to assess where IT spending may be high or low compared to peers; this data contributes to more informed decision making of future IT investments and IT strategy by agency leadership, Washington Technology Solutions (WaTech) and the legislature. 

IT spend data is provided by WaTech's Technology business management (TBM) program; a required program per RCW 43.105.054.  Amounts are shown as a percentage of the total IT operating expenses.

Tags: financial, information-technology
Organization: State of Washington
Arrest Data from 2020 to 4/30/2025

******Notice: Transition to NIBRS-Compliant Arrest Data Reporting
The Los Angeles Police Department (LAPD) has completed its transition from the legacy Records Management System, which reported crime and arrest data under Uniform Crime Reporting (UCR) standards, to a modernized system fully aligned with the National Incident-Based Reporting System (NIBRS). This effort is part of LAPD’s ongoing commitment to modernize data reporting and enhance transparency.
We are currently developing a new NIBRS Arrest dataset to align with the NIBRS standards.  As a result, the existing "Arrest Data from 2020 to 4/30/2025" dataset will no longer receive updates. It will remain available on the portal for historical reference only.
Once the new NIBRS Arrest dataset is complete, it will be published on the Los Angeles Open Data Portal and refreshed on a regular schedule. Additional details will be shared as they become available.
Thank you for your understanding as we work to provide more comprehensive and standardized data for the public.
******

On March 7th, 2024, the Los Angeles Police Department (LAPD)  adopted a new Records Management System for reporting crimes and arrests. This new system is implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs).

This dataset reflects arrest incidents in the City of Los Angeles from 2020 to 4/30/2025. This data is transcribed from original arrest reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0.0000°, 0.0000°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

Tags: arrest, arrest-data, arrests, lapd, police, safe-city
Organization: City of Los Angeles