AndreaBozzo/ceres-open-data-index huggingface dataset:
2013 Traffic Flow Counts

<p><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); 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;'><span style='border:0px solid currentcolor; box-sizing:border-box; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2013 and is maintained by Seattle Department of Transportation.</span></span></p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Contact: Traffic Operations</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Refresh Cycle: None, Snapshot for 2013 Only.</div>

Tags: 2013, counts, flow, gis, sdot, seattle, seattle-gis-open-data, traffic, transportation, volume, wa
Organization: City of Seattle
2017 Traffic Flow Counts

<p><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); 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;'><span style='border:0px solid currentcolor; box-sizing:border-box; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2017 and is maintained by Seattle Department of Transportation.</span></span></p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Contact: Traffic Operations</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Refresh Cycle: None, Snapshot for 2017 Only.</div>

Tags: 2017, counts, flow, gis, sdot, seattle, seattle-gis-open-data, traffic, transportation, volume, wa
Organization: City of Seattle
XCRL -  Cabo Rojo - Lighthousea, southwest PR Aggregated Meteorological Observations

Realtime-Historical aggregated dataset from the Mesonet meteorological station network funded by CARICOOS and operated by Weatherflow Inc.

Tags: air_pressure, air_temperature, caribbean coastal ocean observing system (caricoos), latitude, longitude, relative_humidity, station_name, time, wind_from_direction, wind_speed, wind_speed_of_gust
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2018 Traffic Flow Counts

<p><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); 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;'><span style='border:0px solid currentcolor; box-sizing:border-box; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2018 and is maintained by Seattle Department of Transportation.</span></span></p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Contact: Traffic Operations</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</div><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Refresh Cycle: None, Snapshot for 2018 Only.</div>

Tags: 2018, counts, flow, gis, sdot, seattle, seattle-gis-open-data, traffic, transportation, volume, wa
Organization: City of Seattle
MD City Lookup Table

This dataset is a simple table that contains a list of Maryland cities and associated counties. It may not be a complete list. This dataset is often used as a lookup table when pulled into a third party business intelligence tool. Users may also want to use the Zip Code Lookup Table and the Maryland Counties Match Tool for Data Quality dataset with this City Lookup Table in order to easily create one to many relationships (joins) in a third party business intelligence tool.

Organization: State of Maryland
MD COVID-19 - MASTER Case Tracker

<b>Note:</b>This dataset represents archived records covering the period from March 2020 through October 2025. The most recent dataset, containing data from October 2025 to the present, is available at: 

https://data.maryland.gov/Health-and-Human-Services/COVID-Master-Tracker/37gh-4yqf/about_data 

<b>Summary</b>
The cases, tests, positivity rates, hospitalizations, and confirmed and probable deaths for COVID-19 in Maryland.

<b>Description</b>
The MD COVID-19 - MASTER Case Tracker is a collection of Total Cases, Total Tests, Postivity Rates, Persons Tested Negative, Total Daily Hospital Beds, Total Ever Hospitalized, Total Persons Documented to Have Completed Home Isolation, Cases by County, Cases by Age Distribution, Cases by Gender Distribution, Cases by Race and Ethnicity Distribution, Confirmed Deaths Statewide, Confirmed Deaths by Date of Death, Confirmed Deaths by County, Confirmed Deaths by Age Distribution, Confirmed Deaths by Gender Distribution, Confirmed Deaths by Race And Ethnicity Distribution, Probable Deaths Statewide, Probable Deaths by Date of Death, Probable Deaths by County, Probable Deaths by Age Distribution, Probable Deaths by Gender Distribution, and Probable Deaths by Race And Ethnicity Distribution.

<b>Terms of Use</b>
The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Tags: 2019, coronavirus, covid, covid-19, data, department-of-health, disease, download, health, maryland, maryland-department-of-health, md, md-imap, mdh, open-data, outbreak, share
Organization: State of Maryland
Estimates of Statutory Aid to Municipalities

Pursuant to C.G.S. section 4-71b, the Office of Policy and Management annually posts estimated grant amounts for certain ongoing grant programs under which the State of Connecticut’s payments to municipalities are determined by statutory formulas or payment lists.

This dataset contains estimated grant payments for fiscal year 2025 and projected grant payments for fiscal years 2026 and 2027 under current enacted law. Audit adjustments, timing of payments, application of statutory penalties, revised grant calculations, or the receipt of more current data can materially impact actual payments. In particular, many values shown for FY 2027 are based on current data and will be updated once new data becomes available.

This dataset does not include payments to municipalities from Federal funds under the American Rescue Plan Act (ARPA). The current table of ARPA allocations can be found in Public Act 24-81, which includes amendments made to prior versions of the allocation table in PA 21-2, JSS, PA 22-118, PA 22-146, and PA 23-204.

October 2025 update: Values for Tiered PILOT in FY 2026 and FY 2027 have been updated with more accurate information. Estimates for all other grant programs remain unchanged from prior publication.

Tags: fy-2024-municipal-aid, municipal-aid, statutory-formula-aid
Organization: State of Connecticut
DEEP Property

<div><a href='https://cteco.uconn.edu/guides/DEP_Property.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>See full Data Guide here. </a><br /></div>DEEP Property is a polygon feature-based layer that includes all land owned in fee simple interest by the State of Connecticut Department of Energy and Environmental Protection. This layer is based on information that was collected and mapped at various scales and at different levels of accuracy. Generally, partial interests such as easements or development rights are not included in this layer. The exception is flood control areas, which may include permanent easements. Types of property in this layer include parks, forests, wildlife areas, flood control areas, scenic preserves, natural areas, historic reserves, DEEP owned waterbodies, water access sites and other miscellaneous properties. This layer is current and is updated as parcels are acquired by DEEP.

Tags: boundaries, connecticut, ctdeep, deep, deep-property, land-conservation-and-outdoor-recreation, open-space, planningcadastre, property, state-forests, state-parks, state-recreation-areas, water-access, wildlife-areas
Organization: State of Connecticut
Statewide Transportation Improvement Plan

The dataset lists all projects in New York State for which Federal funding is proposed to be used that are scheduled to begin within a designated time frame of four federal fiscal years and will be updated every two years.  It includes region and location information, responsible agency, project description, funding and costs (in millions)  information, and project phase/status.

Tags: capital-program, mpo, projects, stip
Organization: State of New York
Water Pressure 2021

<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;'>Tile layer containing average water pressure (2021) for Sioux Falls, South Dakota.</span>

Tags: lincoln, minnehaha, pressure, sd, sioux-falls, south-dakota, water
Organization: City of Sioux Falls
Impact Report (FY23/24)

<p>This dataset contains annual results from the City of Tempe’s Impact Report for fiscal year 2023-2024, produced by the Tempe Department of Health and Human Services and Tempe Community Council. It summarizes key outcomes from programs and services that address community needs such as homelessness, mental health, youth development, and support for vulnerable populations. The data reflects progress made through targeted investments and initiatives guided by the Social Determinants of Health model. It is used to measure results, guide future planning, and ensure resources are directed where they make the greatest impact.<br /><br /><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/impact-report-2023-2024' rel='nofollow ugc noopener noreferrer'><span style='font-size:18px;'><strong>Data Dictionary</strong></span></a><br /><br /><span style='font-size:18px;'><strong>Additional Information:</strong></span><br /><br /><strong>Source:</strong> Excel document<br /><br /><strong>Contact:</strong> Kimberly Van Nimwegen<br /><br /><strong>Contact E-Mail: </strong>Kimberley_VanNimwegen@tempe.gov<br /><br /><strong>Data Source Type:</strong> Excel / Table, ZoomGrants<br /><br /><strong>Preparation Method:</strong> Data is collected from multiple programs and services. Staff and partners enter summarized results into a shared Excel file, or ZoomGrants database which is compiled into the annual dataset.<br /><br /><strong>Publish Frequency: </strong>Annual<br /><br /><strong>Publish Method: </strong>Manual<br />&nbsp;</p>

Tags: arizona, community-health, impact-report, tempe
Organization: City of Tempe
Impact Report (FY24/25)

<p>This dataset contains annual results from the City of Tempe’s Impact Report for fiscal year 2024-2025, produced by the Tempe Department of Health and Human Services and Tempe Community Council. It summarizes key outcomes from programs and services that address community needs such as homelessness, mental health, youth development, and support for vulnerable populations. The data reflects progress made through targeted investments and initiatives guided by the Social Determinants of Health model. It is used to measure results, guide future planning, and ensure resources are directed where they make the greatest impact.<br /><br /><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/impact-report-2024-2025' rel='nofollow ugc noopener noreferrer'><span style='font-size:18px;'><strong>Data Dictionary</strong></span></a><br /><br /><span style='font-size:18px;'><strong>Additional Information:</strong></span><br /><br /><strong>Source:</strong> Excel document<br /><br /><strong>Contact:</strong> Kimberly Van Nimwegen<br /><br /><strong>Contact E-Mail: </strong>Kimberley_VanNimwegen@tempe.gov<br /><br /><strong>Data Source Type:</strong> Excel / Table, ZoomGrants<br /><br /><strong>Preparation Method:</strong> Data is collected from multiple programs and services. Staff and partners enter summarized results into a shared Excel file, or ZoomGrants database which is compiled into the annual dataset.<br /><br /><strong>Publish Frequency: </strong>Annual<br /><br /><strong>Publish Method: </strong>Manual</p>

Tags: arizona, community-health, impact-report, tempe
Organization: City of Tempe
ODOT Highway Contracts - Multi-Year Report

This is a multi-year report of Oregon Department of Transportation (ODOT) highway construction contracts. This information is not available in the ORPIN (Oregon Procurement Information Network) system. Visit the Oregon Transparency  website for more information: https://www.oregon.gov/transparency/Pages/index.aspx.

Tags: highway-contracts, odot, odot-contracts, transportation, transportation-contracts
Organization: State of Oregon
Impact Report (FY 2023-2024)

<p>The Impact Report was developed by the City of Tempe Department of Health and Human Services in partnership with the Tempe Community Council. This interactive experience highlights significant progress made over the past year in key areas such as homelessness, mental health, youth development, and support for vulnerable populations. Utilizing the Social Determinants of Health model, it features measurable outcomes and data-driven insights that illustrate the tangible benefits of investments, reaffirming collaborative efforts and the resilience of the community.</p><p>This report includes success stories, data visualizations, and future strategies designed to enhance the quality of life for all Tempe residents. Gratitude is extended to the City Council, partners, and community members who support these vital efforts.</p>

Tags: fy-2022-2023, health-and-human-services, impact-report, sdoh, social-determinants-of-health
Organization: City of Tempe
Impact Report (FY 2024-2025)

<p>The Impact Report was developed by the City of Tempe Department of Health and Human Services in partnership with the Tempe Community Council. This interactive experience highlights significant progress made over the past year in key areas such as homelessness, mental health, youth development, and support for vulnerable populations. Utilizing the Social Determinants of Health model, it features measurable outcomes and data-driven insights that illustrate the tangible benefits of investments, reaffirming collaborative efforts and the resilience of the community.</p><p>This report includes success stories, data visualizations, and future strategies designed to enhance the quality of life for all Tempe residents. Gratitude is extended to the City Council, partners, and community members who support these vital efforts.</p>

Tags: fy-2022-2023, health-and-human-services, impact-report, sdoh, social-determinants-of-health
Organization: City of Tempe
3.09 Post-Secondary Achievement Rate (dashboard)

This operations dashboard shows historic and current data related to this performance measure. <div><br /></div><div><p style='margin:0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://quality-of-life-tempegov.hub.arcgis.com/pages/post-secondary-achievement-rate' target='_blank' rel='nofollow ugc noopener noreferrer'>3.09 Post-Secondary Achievement Rate</a>.</p><p style='margin:0in 0in 0.0001pt;'> </p><p style='margin:0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/3.09%20Post%20Secondary%20Attainment%20(summary)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div>

Tags: achieve60, achieve65, certificates, college-degree-attainment, education, post-secondary-attainment, post-secondary-school-achievement-rate-pm-3-09, quality-of-life
Organization: City of Tempe
Real Property Tax Rates Levy Data By Municipality: Beginning 2004

The Department of Taxation and Finance annually produces a data file providing property tax rates and levies for the taxing jurisdictions in New York State.  The data are culled from files on the State Comptroller’s website.  The dataset takes each school district segment and provides the levy for county, municipal and school tax purposes, as well as the tax rates that apply in those taxing jurisdictions.

Tags: levies, property-tax, tax, tax-rates, tf-property-tax-and-school-tax-relief
Organization: State of New York
Chapter 13: Construction & Demolition

Construction and demolition material (C&D) is the by-product of construction, renovation, deconstruction, and demolition projects. Development in Austin has grown significantly as the population and business community has expanded over the past decade (1).  As a result, the volume of C&D material generated has increased correspondingly (2) and is a high diversion priority in order to make progress towards the City’s Zero Waste Goal.

Tags: construction, projects, waste
Organization: City of Austin