AndreaBozzo/ceres-open-data-index huggingface dataset:
Red Light Camera Citations

<strong>A. SUMMARY</strong>
The SFMTA’s Automated Enforcement Program uses a network of automated cameras to enforce illegal red-light running and illegal right turns. This dataset is a monthly aggregation of issued citations by intersection and direction.

<strong>B. HOW THE DATASET IS CREATED</strong>
All citations are added to a database overseen by SFMTA. This data is aggregated on a monthly basis. During the publishing process, the intersections are geocoded, adding in Latitude, Longitude, Analysis Neighborhood, and Supervisor District. 

<strong>C. UPDATE PROCESS</strong>
This dataset will be updated on a monthly basis. Updates can lag by a month or more.  

<strong>D. HOW TO USE THIS DATASET</strong>
Intersections can be listed multiple times in the dataset based on the direction of traffic and turning lanes in some cases. 

<strong>E. RELATED DATASETS</strong>
<li><a href="https://data.sfgov.org/Transportation/SFMTA-Parking-Citations/ab4h-6ztd/about_data">Parking Citations</a></u>

Organization: City of San Francisco
Automated Speed Enforcement Citations

<strong>A. SUMMARY</strong>
This dataset contains daily counts of warnings and citations issued by the SFMTA’s Automated Speed Enforcement program, broken down by camera. Some enforcement locations have two cameras to monitor traffic in both directions. To show which direction a camera is facing, a directional abbreviation is used—like NB for northbound, meaning traffic heading north.

This dataset does not represent ALL speeding vehicles passing by our cameras and should not be used to draw conclusions about vehicle speeding behavior. There are many reasons why a valid speeding event captured by our cameras may not result in a warning or citation being issued. Common reasons may include staffing challenges, software updates, and blocked/unreadable license plates.

The dataset also includes the average speed of vehicles that received warnings or citations, as well as citation counts categorized by how much the vehicle exceeded the speed limit:
•	11–15 mph over
•	16–20 mph over
•	21+ mph over
For more information about the program, visit SFMTA.com/SpeedCameras.

<strong>B. HOW THE DATASET IS CREATED</strong>
Data is collected through SFMTA's Automated Speed Enforcement Program.

<strong>C. UPDATE PROCESS</strong>
This dataset will update quarterly.

<strong>D. HOW TO USE THIS DATASET</strong>
You can filter warnings issued by day, site/location, number of warnings issued, posted speed limit, average speed, and speed distribution bucket.

Organization: City of San Francisco
San Francisco AI Use Inventory (Chapter 22J)

<strong>A. SUMMARY</strong>
This dataset contains a preliminary inventory of artificial intelligence (AI) systems declared by departments within the City and County of San Francisco (CCSF), as part of compliance with Chapter 22J of the Administrative Code. Chapter 22J requires departments and vendors to answer 22 standardized questions about AI technologies that are in use—excluding those used solely for internal administration or cybersecurity purposes.

This is an initial release and may not yet reflect a complete list. A comprehensive, citywide inventory will be published by January 2026.

For more information, see the full ordinance:
<u><a href="https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_admin/0-0-0-71391">Chapter 22J – Artificial Intelligence Tools</a></u>

<strong>B. HOW THE DATASET IS CREATED</strong>
Each City department is required to annually submit an AI inventory as part of their compliance with Chapter 22J. Departments complete a standardized intake form that captures key details about each AI system in use or under consideration. The submitted inventories are reviewed and consolidated by the Department of Technology

<strong>C. UPDATE PROCESS</strong>
The full dataset of AI technologies and uses will be published by Jan 2026 and updated every two years

<strong>D. HOW TO USE THIS DATASET</strong>
Each row represents an individual AI technology reported by a City department, along with details about its use. The dataset includes 22 columns corresponding to the required questions outlined in Chapter 22J

Organization: City of San Francisco
Capital Projects Database (CPDB) - Projects (Points)

The Capital Projects Database reports information at the project level on discrete capital investments from the Capital Commitment Plan.Each row is uniquely identified by its Financial Management Service (FMS) ID, and contains data pertaining to the sponsoring and managing agency.

To explore the data, please visit the <a href="https://capitalprojects.nycplanningdigital.com/">Capital Projects Portal</a>

For additional information, please visit <a href="https://www.ibo.nyc.ny.us/iboreports/IBOCBG.pdf">A Guide to The Capital Budget</a>

All previously released versions of this data are available on the <a href="https://www.nyc.gov/content/planning/pages/resources/datasets/capital-projects-database">DCP Website: BYTES of the BIG APPLE</a>. Current version: 25adopt

Tags: budget, capital-planning, capital-projects-database, cpdb, omb
Organization: City of New York
Capital Projects Database (CPDB) - Projects

The Capital Projects Database reports information at the project level on discrete capital investments from the Capital Commitment Plan.Each row is uniquely identified by its Financial Management Service (FMS) ID, and contains data pertaining to the sponsoring and managing agency.

To explore the data, please visit the <a href="https://capitalprojects.nycplanningdigital.com/">Capital Projects Portal</a>

For additional information, please visit <a href="https://www.ibo.nyc.ny.us/iboreports/IBOCBG.pdf">A Guide to The Capital Budget</a>

All previously released versions of this data are available on the <a href="https://www.nyc.gov/content/planning/pages/resources/datasets/capital-projects-database">DCP Website: BYTES of the BIG APPLE</a>. Current version: 25adopt

Tags: budget, capital-planning, capital-projects-database, cpdb, omb
Organization: City of New York
Capital Projects Database (CPDB) - Commitments

Office of Management and Budget (OMB) publishes the Capital Commitment Plan three times a year as a series of pdf files, generally in the months of January, April, and September as part of the publication of the Preliminary, Executive, and Adopted Capital Budgets.

To explore the data, please visit the <a href="https://capitalprojects.nycplanningdigital.com/">Capital Projects Portal</a>

For additional information, please visit  <a href="https://www.ibo.nyc.ny.us/iboreports/IBOCBG.pdf">A Guide to The Capital Budget</a>

All previously released versions of this data are available on the <a href="https://www.nyc.gov/content/planning/pages/resources/datasets/capital-projects-database">DCP Website: BYTES of the BIG APPLE</a>. Current version: 25adopt

Tags: budget, capital-planning, capital-projects-database, cpdb, omb
Organization: City of New York
Traffic Volume Counts (Historical)

This is static historical dataset. New York City Department of Transportation (NYC DOT) uses Automated Traffic Recorders (ATR) to collect traffic sample volume counts at bridge crossings and roadways. These counts do not cover the entire year, and the number of days counted per location may vary from year to year.

For a current feed of Automated Traffic Volume Counts, see: https://data.cityofnewyork.us/Transportation/Automated-Traffic-Volume-Counts/7ym2-wayt

Tags: bridge, counts, crossing, roadway, street, traffic, volume
Organization: City of New York
State's Attorney Felony Cases - Average Case Length and Sum of Length, By Offense Type

Sum of Length is an internal calculation used to produce the Average Case Length in a specific offense category. Neither should be read to be associated with any individual case. Rather, the Sum of Length is the number of days in total spent on all the cases in which defendants were charged in a specific charge category combined. The Average Case Length in a particular charge category is then derived by dividing the Sum of Length by the number of defendants.

Tags: inactive, states-attorney-baseline-data-report
Organization: Cook County of Illinois
Public Health Birth Data: Pregnancy Health and Risk Factors

This dataset is part of a series of seven datasets about Cook County births sourced from the Illinois Department of Public Health and curated by the Cook County Department of Public Health. This dataset includes physical health and wellness factors for people who gave birth across the County (excluding Chicago).

The full data series is as follows:

1) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Birth-and-Fertility/msqb-nezd/about_data">Birth and Fertility</a>
2) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Birth-Outcomes/97r9-4xpj/about_data">Birth Outcomes</a>
3) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Characteristics-of-Delive/qjwr-ibzt/about_data">Characteristics of Delivery</a>
4) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Infant-Mortality/gun6-r8vx/about_data">Infant Mortality</a>
5) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Initiated-Breastfeeding/w9sc-wmgs/about_data">Initiated Breastfeeding</a>
6) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Pregnancy-Health-and-Risk/xh8f-2yzn/about_data">Pregnancy Health and Risk Factors</a>
7) <a href="https://datacatalog.cookcountyil.gov/Health-Human-Services/Public-Health-Birth-Data-Sociodemographic-Characte/afnr-xhhn/about_data">Sociodemographic Characteristics of Mother</a>

To maintain confidentiality of individual medical records, counts below 5 and rates below 20 are masked with an asterisk (*).

Please review metadata and values carefully and exercise caution when aggregating. Some columns only contain data across certain age groups. Some rows overlap across variables and geographic levels and aggregating without filtering may overestimate the counts. For example, aggregating counts across Place without excluding pre-aggregated counts for "Aggregated Region: Suburban Cook County" and "Aggregated Region: CCDPH Jurisdiction" will overstate the counts.

Data prior to 2015 can be found here: <a href="https://datacatalog.cookcountyil.gov/Public-Health/Suburban-Cook-County-Births-Birth-Related-Outcomes/fyn8-c3rk/about_data">Suburban Cook County Births (2000-2014)</a>

Tags: ccdph, pregnancy, reproductive-health
Organization: Cook County of Illinois
ESRF Atlantic Canada Passive Acoustic Monitoring 2015-2017 Raw Audio

This acoustic monitoring program deployed twenty marine acoustic recorders off Canada's east coast between August 2015 and July 2017. The recording protocol was selected to monitor marine mammal acoustic occurrence and characterize the underwater soundscapes. The monitored locations ranged from the Scotian Shelf to the southern Labrador shelf through the Grand Banks of Newfoundland. The choice of monitored locations represents a balance between areas of potential interest for oil and gas development and less-sampled locations that were known or presumed to be important to marine mammals.
					The underwater soundscape and its noise contributors were quantified. Drilling platforms contributed significantly to the local soundscape of targeted areas and were measurable for extended periods to ranges of at least 15 km at the seabed in deep water and 35 km in shallow water. Seismic survey sound was detected over wide areas, particularly north of the Flemish Pass. Vessels were detected at all stations, with the highest vessel sound levels measured at stations near shipping lanes or near active drilling platforms.
					Sounds from up to twenty-three species of marine mammals were identified acoustically in the data. This included up to six species of the Delphininae subfamily (small dolphins). Stations in the southern parts of the study area maintained high species richness throughout the year, whereas northern stations saw a decline in winter and spring.

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, atlantic ocean, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed platforms, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, north atlantic ocean, ocean, ocean acoustics, oceans, passive acoustic recorder, platforms, recorders/loggers, subsurface, u.s. department of commerce, water-based
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Employee Payroll

Employee payroll data for all Cook County employees excluding Forest Preserves, indicating amount of base salary paid to an employee during the County fiscal quarter. Salaries are paid to employees on a bi-weekly basis. 
Any pay period that extended between quarters will be reported to the quarter of the Pay Period End Date.  (e.g. If a Pay Period runs 02/21-03/05, that pay period would be reported in the Q2 period, as the end of the pay period falls in March - Q2)

The county fiscal quarters are:
Q1: December - February
Q2: March - May
Q3: June - August
Q4: September - November

The Employee Unique Identifier field is a unique number assigned to each employee for the purpose of this data set, that is not their internal employee ID number, and allows an employee to be identified in the data set over time, in case of a name change or other change. This number will be consistent within the data set, but we reserve the right to regenerate this number over time across the data set.

ISSUE RESOLVED: As of 4/19/2018 there was an issue regarding employee FY2016 and FY2017 payroll in which records were duplicated in the quarterly aggregation, resulting in inflated base pay amounts. Please disregard any data extracted from this dataset prior to the correction date and use this version moving forward. 

KNOWN ISSUE: Several records are missing Bureau and Office information. We are working on correcting this and will update the dataset when this issue has been resolved.

For data prior to Fiscal Year 2016, see datasets at https://datacatalog.cookcountyil.gov/browse?tags=payroll

Tags: inactive, payroll, salaries, salary
Organization: Cook County of Illinois
Parking Violations Issued - Fiscal Year 2023

This dataset provides data on Parking Violations Issued between July 1, 2022 to June 30, 2023.  In New York City, the fiscal year begins on July 1st of one calendar year and ends on June 30th of the following calendar year.  <a target="_blank" href="https://www.nyc.gov/site/omb/faq/frequently-asked-questions.page#:~:text=our%20Careers%20page.-,The%20Expense%20Budget,-What%20is%20the">Click here</a> to find out more about the NYC Fiscal Year.
<br>Parking Violations Issuance datasets contain violations issued during the respective fiscal year. The Issuance datasets are not updated to reflect violation status, the information only represents the violation(s) at the time they are issued. Since appearing on an issuance dataset, a violation may have been paid, dismissed via a hearing, statutorily expired, or had other changes to its status. To see the current status of outstanding parking violations, please look at the <a target="_blank" href="https://data.cityofnewyork.us/City-Government/Open-Parking-and-Camera-Violations/nc67-uf89">Open Parking & Camera Violations</a> dataset.
<br>You may find all of the Parking Violations Issued since fiscal year 2014 in this <a target="_blank" href="https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=DOF+Parking+Violations+Issued&q=&sortBy=alpha&utf8=%E2%9C%93">dataset collection</a>.

<b>NOTE:</b> This dataset includes the records from the first month of FY2024.

Tags: dof, dof-parking-violations-issued-data-collection, finance, parking-ticket, stars, summons, ticket, violation
Organization: City of New York
ONMS_MB02_20230817-20240604_HMD part of ONMS Sound Hybrid Millidecade Spectra

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). This record is part of a collection of results from this standardized analysis of PAM data, specifically calculation of hybrid millidecade (HMD) spectra of sound levels derived from calibrated passive acoustic data from a long-term monitoring effort in the U.S. national marine sanctuary system. Daily HMD at 1 minute resolution were created using standalone MANTA software (v9.6.15). These data were recorded at MB02 between August 17 , 2023 and February 06, 2024.

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
LISTEN (Long-term Investigations into Soundscapes, Trends, Ecosystems, and Noise ) 2021-2022: Beaked whale click detections and 3D localizations at GC14_01 & GC14_02

This dataset contains 3D localizations of beaked whales at the LISTEN Green Canyon acoustic monitoring site. An array of three High-frequency Acoustic Recording Packages (HARPs) were deployed at this site in September 2021 for one year, including two 4-channel tracking HARPs. Echolocation clicks detected on both 4-channel tracking HARPs were localized in three dimensions. Detected species included the goose-beaked whale, Gervais' beaked whale, and Blainville's beaked whale. The two tracking HARPs (GC14_01 and GC14_02), deployed 772 m apart, each continuously recorded all four hydrophones at a 100 kHz sampling rate from September 7, 2021, to March 25 and 26, 2022, respectively. This dataset includes click detection times and localizations for several individuals in each species. In addition to this dataset (CSV file), there are several associated files, including a README explaining the different variables and units, as well as the research article detailing Whereâs Whaledo (Snyder et al., 2024), which was used in this study. Positions of those two tracking HARPs are updated (from previous NCEI datasets) based on the localization data verified as part of this project (critical step in the 3D tracking pipeline).

Tags: acoustic sounders, ambient noise, animals/vertebrates, aquatic ecosystems, aquatic sciences, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, ecosystems, fish, fisheries, fixed observation stations, hydrophones, mammals, marine ecosystems, marine environment monitoring, national centers for environmental information, nesdis, noaa, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Current Land Use Zoning Detail

<div><span style='font-size:16px;'>Note:&nbsp; This map is not an official zoning map.&nbsp; For precise zoning information, please call or visit the Seattle Municipal Tower,&nbsp;</span><a style='font-size:12pt;' target='_blank' href='https://www.seattle.gov/sdci/about-us' rel='nofollow ugc noopener noreferrer'>Seattle Department of Construction and Inspections</a><br />&nbsp;</div><div>&nbsp;</div><div>A polygon feature class showing current City of Seattle land use zoning areas. It provides information on the type of zoning, overlay districts, enacting ordinance numbers and effective dates.</div><div>&nbsp;</div><div>Zoning Code governs the use and development of land in Seattle. Zoning districts specify a category of uses (e.g., single-family residential, multifamily residential, commercial, industrial, etc.) including specific overlays and are applied by ordinance.&nbsp;<br />&nbsp;</div><div>&nbsp;</div><div>Symbolized on the value DETAIL_DESC (group 26 categories).</div>

Tags: gis, land-use, planning, sdcizoningmap, seattle-gis-open-data, zoning
Organization: City of Seattle
State's Attorney Felony Cases - Initiation Results by Offense Type and Defendant Race

The Initiation results data presented here reflects all of the arrests that came through the door of the State's Attorneys Office (SAO). Included in this data set are the defendant counts by race and initiation, their associated offense type, and year.

An initiation is how an arrest turns into a “case” in the courts. Most cases are initiated through a process known as felony review, in which SAO attorneys make a decision whether or not to prosecute. Cases may also be indicted by a grand jury or, in narcotics cases, filed directly by law enforcement (labeled "BOND SET (Narcotics)" in this data). Included in this data set are the defendant counts by initiation and year. This data includes felony cases handled by the Criminal, Narcotics, and Special Prosecution Bureaus. It does not include information about cases processed through the Juvenile Justice and Civil Actions Bureaus.

Tags: inactive, states-attorney-baseline-data-report
Organization: Cook County of Illinois
Mandatory Housing Affordability (MHA) Zones

<div><span style='font-size:16px;'>Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, </span><a href='https://www.seattle.gov/sdci/about-us' style='font-size:12pt;' target='_blank' rel='nofollow ugc noopener noreferrer'>Seattle Department of Construction and Inspections</a><br /></div><div><br /></div>Zoning areas where Mandatory Housing Affordability requirements may apply.<div><br /></div><div>Mandatory Housing Affordability requires new development to contribute to affordable housing by including affordable housing in the development or making a payment to the City’s Office of Housing to support affordable housing. The amount of the MHA contribution varies based on a property’s location and other factors specified in Seattle Municipal Code Chapters 23.58B and 23.58C.  </div>

Tags: gis, land-use, mha, planning, sdcizoningmap, seattle-gis-open-data, zoning
Organization: City of Seattle
Afterschool Needs Assessment Survey Responses

The Out of School Time (OST) Steering Committee, a city-school collaborative group, initiated the Afterschool Needs Assessment Survey in order to better inform strategic planning for system-wide improvements in access to OST programming.

The survey was developed and administered in partnership with SomerPromise, SomerStat, and Somerville Public Schools. We received responses from 742 families representing 1,046 PK-6th grade students. This represents ~37% of SPS PK-6th grade students, with enough respondents from all demographic groups (e.g. school, income) to weigh the data to assess equitable access to care. 

In response to the survey and other available data sets, the number of full-time afterschool slots has been increased by 23% (244 seats). This accomplishment was made possible by contracting Apollo, an external provider, to operate in two additional schools, as well as expansion in slot capacity across all eight SPS Community Schools. Additionally, the Somerville YMCA was approved for a pilot to use space at Somerville High School by adding up to 52 full-time afterschool slots. 

The data determined that 50-57% of families enrolled in SPS with school-age children need full-time afterschool care. These increases in capacity mean that in SY 25-26, 53% of all Somerville PK-6th grade youth may be served in full-time afterschool slots.

Tags: survey
Organization: City of Somerville