AndreaBozzo/ceres-open-data-index huggingface dataset:
July 1958 Lituya Bay, USA Images

On July 10, 1958, at 06:15:59 UTC, a M 7.8 earthquake occurred in Southeast Alaska. At least 8 separate tsunamis, generated by submarine and subaerial landslides and ice falls, followed the earthquake. The epicenter was located on the northern coast of Cross Sound near Palma Bay. A local submarine slump off Khantaak Island in Yakutat Bay caused 3 deaths and wrecked a boat. Lituya Bay, the site of repeated huge local tsunamis, experienced a massive landslide which generated a surge of water reaching 525 meters in height -- 400 feet higher than the Empire State Building. Property damages, primarily from lost boats, exceeded $100,000.

Tags: alaska, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, earthquakes, human dimensions, icsu-wds, infrastructure, international council for science - world data system, lituya bay, national centers for environmental information, national geophysical data center, natural hazards, nesdis, noaa, noaa onestop project, north america, ocean waves, oceans, seiches, solid earth, tectonics, tsunamis, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1.28 Criminal Division Timely Case Management (summary)

Achieve rates for case conclusions of less than 180 days of 93% for Misdemeanor Driving Under the Influence (DUI) and 98% for Misdemeanor non-DUI as benchmarked by Arizona Supreme Court’s Time Standards. <div><br /></div><div><div>The performance measure dashboard is available at <a href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/timely-case-management-misdemeanors' target='_blank' rel='nofollow ugc noopener noreferrer'>1.28 Timely Case Management - Misdemeanors</a>.</div><div><br /></div><div><b>Additional Information</b></div><div>Source: Tempe Municipal Court case aging report</div><div>Contact: Sonia Espinoza</div><div>Contact E-Mail: <a href='mailto:sonia_espinoza@tempe.gov' target='_blank' rel='nofollow ugc noopener noreferrer'>sonia_espinoza@tempe.gov</a></div><div>Data Source Type: Excel table</div><div>Preparation Method: The data is extracted from the Tempe Municipal Court's Case Management System.</div><div>Publish Frequency: Annually</div><div>Publish Method: Manual</div><div><a href='https://tempe.gitbook.io/data-dictionary/1.28-criminal-division-timely-case-management-summary-data-dictionary' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></div></div>

Tags: attorney, criminal-division, prosecutors-office
Organization: City of Tempe
3.27 Traffic Delay Reduction (summary)

<p>The city is using Travel Time Index as a measure to quantify traffic delay in the city. The Travel Time Index is the ratio of the travel time during the peak period to the time required to make the same trip at free-flow speeds. It should be noted that this data is subject to seasonal variations.&nbsp; The 2020 Q2 and Q3 data includes the summer months when traffic volumes are lower, thus the Travel Time Index is improved in these quarters.</p><div>&nbsp;</div><div>The performance measure page is available at&nbsp;<a target='_blank' href='https://quality-of-life-tempegov.hub.arcgis.com/pages/traffic-delay-reduction' rel='nofollow ugc noopener noreferrer'>3.27 Traffic Delay Reduction</a>.&nbsp;&nbsp;<br />&nbsp;</div><div>&nbsp;</div><div><div><strong>Additional Information</strong></div><div>&nbsp;</div><div>Source: Bluetooth ARID sensors</div><div>&nbsp;</div><div>Contact (author): Cathy Hollow</div><div>&nbsp;</div><div>Contact E-Mail (author): catherine_hollow@tempe.gov</div><div>&nbsp;</div><div>Contact (maintainer):&nbsp;</div><div>&nbsp;</div><div>Contact E-Mail (maintainer):&nbsp;</div><div>&nbsp;</div><div>Data Source Type: Table, CSV</div><div>&nbsp;</div><div>Preparation Method: Peak period data is manually extracted.&nbsp; The travel time index calculation is the peak period data divided by the free flow data (constant per segment).&nbsp;&nbsp;</div><div>&nbsp;</div><div>Publish Frequency: Quarterly</div><div>&nbsp;</div><div>Publish Method: Manual</div><div>&nbsp;</div><div><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/3.27-traffic-delay-reduction' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a>&nbsp;</div></div>

Tags: quality-of-life, traffic-delay-reduction-pm-3-27
Organization: City of Tempe
1.08 High Severity Traffic Crashes (summary)

<p>Fatal and serious injury crashes are not “accidents” and are preventable. The City of Tempe is committed to reducing the number of fatal and serious injury crashes to zero. This data page provides details about the performance measure related to High Severity Traffic Crashes as well as access to the data sets and any supplemental data. Click on the Showcases tab for visual representations of this data. The Engineering and Transportation Department uses this data to improve safety in Tempe.<br /><br />This page provides data for the High Severity Traffic Crashes performance measure.&nbsp;<br /><br />City of Tempe crash data summarized to show fatal and serious injury crashes by year.<br /><br />The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://safe-and-secure-communities-tempegov.hub.arcgis.com/pages/high-severity-traffic-crashes' rel='nofollow ugc noopener noreferrer'>1.08 High Severity Traffic Crashes</a><br /><br /><strong>Additional Information&nbsp;</strong></p><p>Source: Arizona Department of Transportation (ADOT)<br />Contact:  Julian Dresang<br />Contact E-Mail:  Julian_Dresang@tempe.gov<br />Data Source Type:  CSV files and Excel spreadsheets can be downloaded from ADOT website<br />Preparation Method:  Data is sorted to remove license plate numbers and other sensitive information<br />Publish Frequency:  Monthly<br />Publish Method:  Manual<br /><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/1.08-crash-data' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a>&nbsp;</p><p>&nbsp;</p>

Tags: safe-and-secure-communities
Organization: City of Tempe
Stormwater Operational District Contacts

<p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px; margin-bottom:1.55rem; margin-top:0px;'>The Stormwater District layer is part of a dataset that contains administrative boundaries for Vermont's Agency of Natural Resources. The layer can be used to identify who to contact for&nbsp;Operational Permit (3-9050) review.</p>

Tags: deptdec, divwsm, isothemeboundary, nodevtanr, progstormwater, stormwater, subthemeother, vt-anr-open-data
Organization: Vermont Center for Geographic Information
Warden Districts

<div style='text-align:Left;'><div><div><p><span>The Vermont Warden Districts layer is part of a dataset that contains administrative boundaries for Vermont's Agency of Natural Resources. The dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutenant Chief Warden, Park, Solid Waste, Warden, Watershed Planning, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.</span></p></div></div></div>

Tags: appmapsandmapping, boundaries, deptfwd, divwildlife, isothemeboundary, nodevtanr, progwarden, subthemeother, vt-anr, vt-anr-open-data, warden
Organization: Vermont Center for Geographic Information
ACT250 Districts

<div style='text-align:Left;'><div><div><p><span>The ACT 250 Districts layer is part of a larger  dataset that contains administrative boundaries for Vermont's Agency of Natural Resources. The dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutennant Chief Warden, Park, Solid Waste, Warden, Watershed Planning, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.</span></p></div></div></div>

Tags: isothemeboundary, nodevtanr, subthemeother, vt-anr-open-data
Organization: Vermont Center for Geographic Information
Forestry Districts

<div style='text-align:Left;'><div><div><p><span>The Forestry Districts layer is part of a dataset that contains administrative boundaries for Vermont's Agency of Natural Resources. </span><span>This is a layer file which depicts the boundaries of the Forestry Divisions districts.ForestNum column contains the District number; Forest column represents alternative name for District number.</span></p><p><span>The entire dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutennant Chief Warden, Park, Solid Waste, Warden, Watershed Planning, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.</span></p></div></div></div>

Tags: appmapsandmapping, deptfpr, divforestry, forest, isothemeboundary, nodevtanr, subthemeother, vt-anr, vt-anr-open-data
Organization: Vermont Center for Geographic Information
Wildlife Districts

<div style='text-align:Left;'><div><div><p><span>The Wildlife Districts layer is part of a larger dataset contains administrative boundaries for Vermont's Agency of Natural Resources. The dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutennant Chief Warden, Park, Solid Waste, Warden, Watershed Planning, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.</span></p></div></div></div>

Tags: deptfwd, divwildlife, isothemeboundary, nodevtanr, subthemeother, vt-anr-open-data, wildlife-districts
Organization: Vermont Center for Geographic Information
Park Districts

<div style='text-align:Left;'><div><div><p><span>The Parks Districts layer is part of a dataset contains administrative boundaries for Vermont's Agency of Natural Resources. The dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutennant Chief Warden, Park, Solid Waste, Warden, Watershed Planning, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.</span></p></div></div></div>

Tags: appmapsandmapping, deptfpr, divparks, isothemeboundary, nodevtanr, parks, subthemeother, vermont-parks, vt-anr-open-data
Organization: Vermont Center for Geographic Information
Floodplain Manager Regions

The Floodplain Management section of the VT Rivers Program works with the Federal Emergency Management Agency (FEMA) to oversee the National Flood Insurance Program (NFIP) in Vermont. The NFIP is a voluntary program administered at the community level. Participating communities agree to manage floodplain development using building and land-use regulations. In return, residents have the ability to purchase flood insurance, apply for federally insured loans (such as mortgages), and receive flood disaster assistance. While NFIP designated floodplains provide a useful management tool, they do not necessarily show the full extent of flood risk along Vermont streams and rivers. We encourage towns to be proactive in managing floodplains and to adopt regulations that go beyond the minimum NFIP requirements as well as consider the addition of river corridors to their flood hazard management regulations and approach.

Tags: deptdec, divwsm, isothemeboundary, nodevtanr
Organization: Vermont Center for Geographic Information
Watershed Planning Basins

<div style='text-align:Left;'><div><div><p><span>The Watershed Planning Basin layer is part of a larger dataset contains administrative boundaries for Vermont's Agency of Natural Resources. The dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutennant Chief Warden, Park, Solid Waste, Warden, Watershed Planning Basins, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.</span></p></div></div></div>

Tags: deptdec, divwsm, isothemeboundary, nodevtanr, subthemeother, vt-anr-open-data, watershed-planning-basin
Organization: Vermont Center for Geographic Information
Environmental Enforcement Districts

Current statewide map of the geographic territories of Environmental Enforcement Officers.
Part of a dataset that contains administrative boundaries for Vermont's Agency of Natural Resources. The dataset includes feature classes for ACT 250, Environmental Enforcement, Fisheries, Forestry, Lieutennant Chief Warden, Park, Solid Waste, Warden, Watershed Planning, Wastewater, Wildlife, Wildlife Management Units, River Management Engineering Districts, and Tactical Planning Basin.

Tags: act-250, boundaries, deptdec, environmental-enforcement, fish, forest, isothemeboundary, lieutenant-chief-warden, nodevtanr, park, river-management-engineering-districts, solid-waste-management, subthemeother, vt-anr-open-data, warden, wastewater, watershed-planning-basin, wildlife, wildlife-management-unit
Organization: Vermont Center for Geographic Information
Oregon Address Data Standard Starter Kit

<p>Refer to the Oregon Address Data Standard v. 1.0 (2025) for a complete description of the Address Data Standard feature class and domains of acceptable values for many fields. This standard is used for addresses within the State of Oregon.</p><p>https://www.oregon.gov/eis/geo/Documents/Oregon%20Address%20Point%20Standard%20v1.0.pdf</p>

Tags: address, fgdb, framework, oregon, standard, starter
Organization: State of Oregon
Seattle Public Libraries

<div>Seattle Public Library offers books and media in locations throughout the city.&nbsp; Please see&nbsp;<a target='_blank' href='https://www.spl.org/' rel='nofollow ugc noopener noreferrer'>website</a>&nbsp;for more information.</div><div>Each branch has website link, please use for hours and programs specific to location.</div><div>&nbsp;</div><p>Displays data from CARTO.LIBRARY.&nbsp; Labels based on attribute LABEL.</p><p>PLEASE NOTE: &nbsp;THE UNIVERSITY BRANCH IS CLOSED FOR RENOVATIONS UNTIL LATE 2026, IT HAS BEEN QUERIED OUT OF THIS DATA SET.</p><div>Updated as needed, last update September 2025.</div>

Tags: books, community-service, gis, seattle-gis-open-data, spl
Organization: City of Seattle
Beach Lab Data

The Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. 
 
The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation).
 
Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. 
The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria.
 
The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented.
 
* The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model)
*The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)

Tags: beaches, chicago-park-district, open-spaces, parks, parks-recreation, recreation, water
Organization: City of Chicago
Owned Asset Facility Condition Assessment (FCA) Details

Documents audit of facility and it's assets on operational condition (functional, non functional), issues, cost to repair, decision to repair or replace and gives a value representing the assets condition Facility Condition Index (FCI) of said asset. Provides a breakdown of building systems (HVAC, roofing, envelope, etc...) their condition, repair needs and suggested repair dates and priorities.

Tags: assets
Organization: Department of Homeland Security
SFMTA Projects - Polygons

<strong>A. SUMMARY</strong>
This dataset is the data behind the Interactive Project Map (IPM) Collector Tool web map. The IPM web map gathers spatial data for agency projects that have project pages on SFMTA.com and CIP projects.

For more information about this dataset please contact ProjectMap@sfmta.com

<strong>B. METHODOLOGY  </strong>
Data is collected from project managers and SFMTA.com project page editors through the Interactive Project Map Collector Tool.

<strong>C. UPDATE FREQUENCY  </strong>
The data is updated on an as needed basis. Project geographies should be updated by project managers and project pge editors whenever project extents change. 

<strong>D. OTHER CRITICAL INFO  </strong>
Please note there is a 250ft buffer for projects to more accurately represent the supervisor districts and neighborhoods that could potentially be affected by a project.

Tags: transportation-projects
Organization: City of San Francisco
Intersection-Level Traffic Calming Devices

<strong>A. SUMMARY</strong>
This dataset contains intersection-level traffic calming points managed by SFTMA. Traffic calming elements include: Traffic Circles, Traffic Islands, Left Turn Traffic Calming, Median Extensions, and more. The dataset contains "completed" projects and projects which are "pending construction".

<strong>B. HOW THE DATASET IS CREATED</strong>
This dataset is generated by SFMTA.

<strong>C. UPDATE PROCESS</strong>
The underlying dataset updates on an "as needed" basis. DataSF checks for updates once a week.

<strong>D. HOW TO USE THIS DATASET</strong>
Use this dataset to understand traffic calming across the City of San Francisco and map out traffic calming elements.

<strong>E. RELATED DATASETS</strong>
<li>  <u><a href="https://data.sfgov.org/Transportation/Mid-Block-Traffic-Calming-Areas/abhw-ffzx/about_data">Mid-Block Traffic Calming Devices</a></u>

Organization: City of San Francisco
Bicycle Green Wave Streets

<strong>A. SUMMARY </strong>
Point features that represent the street segments in San Francisco that are timed for bicycle green wave

<strong>B. METHODOLOGY  </strong>
N/A

<strong>C. UPDATE FREQUENCY  </strong>
Quarterly 

<strong>D. OTHER CRITICAL INFO  </strong>
N/A

Tags: bicycle-progression, bicycle-signal, bicycle-signal-timing, bicycle-timing, green-waves
Organization: City of San Francisco
Geologic map of the Iditarod D-1 Quadrangle, Alaska

Geologic map of the Iditarod D-1 Quadrangle, Alaska, Professional Report 78, provides 1:63,360-scale geologic mapping of parts of McGrath and Innoko mining districts in Kuskokwim Mountains uplands. Paleozoic and Cretaceous sedimentary and volcanic rocks dominate the region's geology, and the Nixon-Iditarod and the Yankee-Ganes Creek faults bisect it. Significant rock units were also studied in the laboratory using standard thin section (transmitted light) petrographic techniques, fossil identifications, multi-element and major-oxide geochemical analyses, microprobe analyses of main ores, and 40K-40Ar radiometric dating of igneous rocks. The publication includes detailed geologic, structural, stratigraphic, and geochronologic data. This work was part of a series of reports on the geology, geochemistry, and mineral resources of the Iditarod quadrangle, Alaska. The complete report, geodatabase, and ESRI fonts and style files are available from the DGGS website: http://doi.org/10.14509/2252.

Tags: age dates, alluvial deposits, alluvial fan, argillite, bedrock, bedrock geology, beef steak creek, big creek, carl creek, chert, cipw norms, conglomerate, corals, cretaceous, crinoids, dike, fossils, fourth of july creek, french joe mountain, ganes creek, gems db l3 compliant, gems db v1pt1, generalized, geochemistry, geologic map, geology, holocene, hornfels, independence creek, innoko mining district, inoceramus, kuskokwim mountains, limestone, major oxides, mcgrath mining district, metamorphic rocks, mount joaquin, orthoquartzite, paleocurrent, paleozoic, placer, placer gold, pleistocene, sandstone, shale, siltstone, steak creek, sunset creek, surficial, syenite, tailings, takotna, takotna mountain, takotna river, tatalina river, trace metals, tuff, unconsolidated deposits, undifferentiated bedrock, volcanic rocks, yankee creek
Organization: State of Alaska