AndreaBozzo/ceres-open-data-index huggingface dataset:
SFEC Form 3209b - Notification of Recusal Filings

Any  member  of  a  City  board  or  commission  other  than  a  member  of  the  Board  of  Supervisors  (See Campaign  and  Governmental  Conduct  Code  Section  3.209(c))  who  is  required  to  file  a  statement  of  economic interests pursuant to Article III, Chapter 1 of the Campaign and Governmental Conduct Code must file form 3209b each time the member recuses him or herself from a matter being considered by the board or commission.  Form 3209b is due within 15 calendar days after the date of the meeting at which the recusal occurred and must be accompanied by a copy of the meeting agenda containing the item that triggered the recusal.

Organization: City of San Francisco
Parcel Change Log

<strong>A. SUMMARY</strong>
Lookup table for City lots (Parcels), which enables the tracking which lots were the successor lots for the new lots created. The data is in changelog format, meaning each row is a change of parcel_id -- containing both the old parcel id and the new parcel_id.

<strong>B. HOW THE DATASET IS CREATED</strong>
This dataset is extracted from the SFGIS database

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

<strong>D. HOW TO USE THIS DATASET</strong>
Use this dataset to track and analyze how parcels have changed over time. 

<strong>E. RELATED DATASETS</strong>
<u><a href="https://data.sfgov.org/Geographic-Locations-and-Boundaries/Parcels-Active-and-Retired/acdm-wktn/about_data">Parcels Active and Retired</a></u>
<u><a href="https://data.sfgov.org/Geographic-Locations-and-Boundaries/Map-of-Parcels-Active/5k2u-hdaw">Map of Active Parcels</a></u>

Organization: City of San Francisco
Form 700 Schedule D - Income: Gifts

This dataset is updated weekly. For more up-to-date filings, refer to the "View Filed Statements" or "Search Within Statements" links on the <a href="https://sfethics.org/disclosures/city-officer-disclosure/statement-of-economic-interests-city-officer-disclosure">Ethics Commission webpage</a>.

Gifts (such as tickets to sporting or entertainment events)
Link to Form 700 overview: http://www.fppc.ca.gov/Form700.html

In this dataset the "address" field is redacted.

This dataset contains records from Schedule D across electronic Form 700 filings with the SFEC since January 1, 2014.  To see all the data from a specific filing, you should search all the datasets listed
<a href="https://sfethics.org/disclosures/city-officer-disclosure/statement-of-economic-interests-city-officer-disclosure/data-statement-of-economic-interests">on this page</a> and filter by the filingId of the specific filing.

Prior to the start of e-filing for all in 2022, elected officials, department heads, and members of boards and Commissions filed the Form 700 with the Ethics Commission; designated employees filed the Form 700 on paper with their department's designated filing officer.

Tags: ethics, form-700, schedules, sei, statement-of-economic-interests
Organization: City of San Francisco
Street Sweeping Schedule

<strong>A. SUMMARY</strong>
Mechanical street sweeping and street cleaning schedule managed by San Francisco Public Works.

<strong>B. HOW THE DATASET IS CREATED</strong>
This dataset is created by extracting all street sweeping schedule data from a Department of Public Works database, it is then geocoded to add common identifiers such as Centerline Network Number ("CNN") then published to the open data portal.

<strong>C. UPDATE PROCESS</strong>
This dataset will be updated on an 'as needed' basis, when sweeping schedules change.

<strong>D. HOW TO USE THIS DATASET</strong>
Use this dataset to understand, track, or analyze street sweeping in San Francisco.

Tags: cleaning, mechanical, schedule, street-sweeping, streets, sweeping
Organization: City of San Francisco
District Attorney Case Resolutions

<strong>A. SUMMARY</strong>

<strong><i>Please note that the "Data Last Updated" date on this page denotes the most recent DataSF update and does not reflect the most recent update to this dataset. To confirm the completeness of this dataset please contact the District Attorney's office at <u><a href=”mailto:districtattorney@sfgov.org”>districtattorney@sfgov.org</a></u>.</strong></i>

This data set includes all criminal cases prosecuted by the District Attorney’s Office that have reached a final resolution, or disposition. A case is resolved when a final determination has been made in court (i.e., an acquittal, conviction, dismissal, or a judge finds a defendant has successfully completed diversion).

A case may also be resolved through other means. For example, a case may be re-indicted, a defendant may be released to another agency's custody, etc. Because of the case tracking systems used in the San Francisco Superior Court, these cases are assigned new court numbers and thus show up as distinct cases in the data available to the District Attorney’s Office. Lastly, sometimes a defendant will have multiple criminal cases related to the same incident or similar types of crimes. The defendant may plead guilty to one case, and in exchange, the other cases will be dropped. The San Francisco Superior Court codes these cases as "1385 PC - Guilty Plea to Other Charge".

More information about this dataset can be found under the “Case Resolutions” section on the <u><a href="https://sfdistrictattorney.org/policy/data-dashboards/#case-resolutions">Data Dashboards page</a></u>

<strong><i>Disclaimer: The San Francisco District Attorney's Office does not guarantee the accuracy, completeness, or timeliness of the information as the data is subject to change as modifications and updates are completed.</strong></i>

<strong>B. HOW THE DATASET IS CREATED</strong>

When a case prosecuted by the District Attorney’s Office reaches a final resolution, or disposition, relevant data is manually entered into the District Attorney Office's case management system. Data reports are pulled from this system on a semi-regular basis, cleaned, anonymized, and added to Open Data.

<strong>C. UPDATE PROCESS</strong>

We strive to update this dataset at the beginning of every week. However, the creation of this dataset requires a manual pull from the Office's case management system and is dependent on staff availability.

<strong>D. HOW TO USE THIS DATASET</strong>

Please review the “Case Resolutions” section on the <u><a href="https://sfdistrictattorney.org/policy/data-dashboards/#case-resolutions">Data Dashboards page</a></u> for more information about this dataset.

<strong>E. Related DATASETS</strong>

<u><a href="https://data.sfgov.org/d/czsm-3ei3">District Attorney Actions Taken on Arrests Presented</a></u> 
<u><a href="https://data.sfgov.org/d/dcjk-vw8q">District Attorney Cases Prosecuted</a></u>

Organization: City of San Francisco
Building Footprints

These footprint extents are collapsed from an earlier 3D building model provided by Pictometry of 2010, and have been refined from a version of building masses publicly available on the open data portal for over two years.The building masses were manually split with reference to parcel lines, but using vertices from the building mass wherever possible.These split footprints correspond closely to individual structures even where there are common walls; the goal of the splitting process was to divide the building mass wherever there was likely to be a firewall.
An arbitrary identifier was assigned based on a descending sort of building area for 177,023 footprints. The centroid of each footprint was used to join a property identifier from a draft of the San Francisco Enterprise GIS Program's cartographic base, which provides continuous coverage with distinct right-of-way areas as well as selected nearby parcels from adjacent counties. See accompanying document SF_BldgFoot_2017-05_description.pdf for more on methodology and motivation

Tags: building
Organization: City of San Francisco
Wholesale Markets

Dataset notating the approved wholesale market companies in the various markets BIC regulates. Companies as of the most recent export date are authorized to operate as a wholesale market company.

This data is collected on the entities that apply with the Commission to operate as wholesale market companies throughout the City of New York

Each record represents an entity that is approved to operate in the City of New York by the Commission. 

The BIC Number field is unique to every company that applies to the Commission. For wholesale market companies, the beginning letters indicate the market for which the company is located:

HPA - Hunts Point Adjacent Area
HPP - Hunts Point Product Market
HPM - Hunts Point Meat Market
FFM - Hunts Point Fulton Fish Market 
GMM - Gansevoort Meat Market

Tags: bic, brooklyn, business-integrity-commission, fish, gansevoort, hunts-point, meat, nycbic, produce, wholesale-markets
Organization: City of New York
Medication Support

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These resources aid individuals who need help with medications. These resources are not necessarily dementia-specific but can be particularly helpful for individuals or caregivers in the setting of dementia or memory loss.</SPAN></P></DIV></DIV></DIV>

Tags: bhi, brain-health, dc-health, dementia, district-of-columbia, health, medication, senior-citizen, washington-dc, wellness
Organization: District of Columbia
NPL Superfund Institutional Control Boundaries (EPA)

This GIS dataset contains polygons depicting U.S. EPA Superfund Institutional Control boundaries. Institutional controls are non-engineered instruments, such as administrative and legal controls, that help to minimize the potential for exposure to contamination and/or protect the integrity of a response action. ICs typically are designed to work by limiting land and/or resource use or by providing information that helps modify or guide human behavior at a site. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.

Tags: 020:108, cleanup, contaminant, environment, fac, facilities, health, human, impact, management, monitoring, regulatory, remediation, segs, sites, toxics, united states
Organization: U.S. Environmental Protection Agency
NPL Superfund Site Boundaries (EPA)

This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.

Tags: 020:109, cleanup, contaminant, environment, fac, facilities, health, human, impact, management, monitoring, regulatory, remediation, segs, sites, toxics, united states
Organization: U.S. Environmental Protection Agency
NPL Superfund Site Feature Locations (EPA)

This GIS dataset contains points depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as point features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.

Tags: 020:108, cleanup, contaminant, environment, fac, facilities, health, human, impact, management, monitoring, regulatory, remediation, segs, sites, toxics, united states
Organization: U.S. Environmental Protection Agency
NPL Superfund Operable Unit Boundaries (EPA)

This GIS dataset contains polygons depicting U.S. EPA Superfund Operable Unit boundaries. The operable unit (OU) polygons represent an individual OU’s perimeters, which are used to identify a portion of a Superfund site with which assessment and response actions are associated. CERCLA regulations (40 C.F.R. § 307.14) define an OU as a “discrete portion of a remedial response [that] manages migration, or eliminates or mitigates a release, threat of release, or pathway of exposure. The cleanup of a site can be divided into a number of operable units . . . [that] may address geographical portions of a site.” Determined on a site-specific basis, OUs may represent distinct geographic areas, media or releases. Note that OUs may overlap geographically when representing distinct media or areas of concern. OU boundaries become the building blocks of site boundaries. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.

Tags: 020:108, cleanup, contaminant, environment, fac, facilities, health, human, impact, management, monitoring, regulatory, remediation, segs, sites, toxics, united states
Organization: U.S. Environmental Protection Agency
NPL Superfund Linear Site Features (EPA)

This GIS dataset contains lines depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as linear features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.

Tags: 020:108, cleanup, contaminant, environment, fac, facilities, health, human, impact, management, monitoring, regulatory, remediation, segs, sites, toxics, united states
Organization: U.S. Environmental Protection Agency
Imperial Valley Dark Fiber Project (IVDF): Brawley EQ Cluster Catalog and DAS Event Dataset

The Imperial Valley Dark Fiber (IVDF) project deployed a distributed acoustic sensing (DAS) interrogator on a pre-existing dark fiber cable running ~28 km
between Calipatria and Imperial, California, passing through the Brawley Geothermal Field and surrounding Brawley Seismic Zone in Southern California. DAS measurements provided a dense array of ~6,900 virtual sensors along the cable with a mean channel spacing of approximately 4 m (described in Ajo-Franklin et al., 2022, linked below).

This dataset contains waveform recordings of 16 local seismic events from a ~3-hour swarm-like sequence that occurred on May 14, 2021, in the Brawley Seismic Zone. Six events were identified in the Southern California Seismic Network (SCSN) catalog; the remaining ten were detected using the DAS array. All 16 events are located on a strike-slip fault (strike ~222 deg., dip ~80deg.) within a compact rupture zone of ~0.5 km diameter at depths of approximately 8.9-9.4 km, with local magnitudes ranging from ML 0.78 to 2.03. Hypocenters were determined on the fault plane by cross-correlation of DAS channel waveforms, referenced to event 14 (ML 1.22). The accompanying README provides general data informaiton, as well as naming and content descriptions of each file. Event origin times, locations, and magnitudes are provided in the accompanying catalog file (catalog_DASreloc_222-80_20210514.csv).


Tags: brawley-field, brawley-seismic-zone, das, distributed-acoustic-sensing, earthquake, energy, event-catalog, fiber-optic-sensing, geophysics, geothermal, hdf5, imperial-valley, processed-data, raw-data, salton-sea, scsn, seismicity, southern-california-seismic-network, swarm, waveform-recordings
Organization: Department of Energy
Individual and Home Safety

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These resources help support personal safety or help to improve home safety for persons living with dementia or memory loss. The services listed are specific to older adults and are generally inclusive of persons with dementia while not being explicitly dementia specific service.</SPAN></P></DIV></DIV></DIV>

Tags: bhi, brain-health, dc-health, dementia, district-of-columbia, health, safety, senior-citizen, washington-dc, wellness
Organization: District of Columbia
Dataset for Evaluating pathogen modeling approaches for microbial risk assessment of stormwater in recreational and reuse contexts

All data presented in the associated manuscript, see readme tab for description and Data Dictionary. 

This dataset is associated with the following publication:
Laiveling, A., C. Wiesner-Friedman, and M. Jahne. Evaluating pathogen modeling approaches for microbial risk assessment of stormwater in recreational and reuse contexts.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS,  181630, (2026).

Tags: microbial-source-tracking, qmra, recreational-water, risk-assessment, water-reuse
Organization: U.S. Environmental Protection Agency
Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie

Supplemental material for "Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie". 

This dataset is associated with the following publication:
Benesh, K., A. Banerji, S. Ludsin, T. Jicha, P. Collingsworth, A. Fosso, W. Currie, J. Hood, M. Manubolu, L. Rudstam, J. Watkins, and J. Hoffman. Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie.   Aquatic Ecosystem Health and Management. Taylor & Francis, Inc., Philadelphia, PA, USA, 28(1): 51-66, (2025).

Tags: biogeochemistry, cooperative-science-monitoring-initiative, cyanobacteria, eutrophication, great-lakes, particulate-organic-matter
Organization: U.S. Environmental Protection Agency
EPA Facility Registry Service (FRS): RCRA_TRANS

This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Resource Conservation and Recovery Act Information System (RCRAInfo) and are transporters of hazardous waste.  RCRAInfo is EPA's comprehensive information system in support of the Resource Conservation and Recovery Act (RCRA) of 1976 and the Hazardous and Solid Waste Amendments (HSWA) of 1984. It tracks many types of information about generators, transporters, treaters, storers, and disposers of hazardous waste.  FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RCRAInfo hazardous waste transporters once the RCRAInfo data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

Tags: 020:072, air, cleanup, compliance, drinking water, environment, facilities, regulatory, remediation, united states
Organization: U.S. Environmental Protection Agency
EPA Facility Registry Service (FRS): RMP

This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Risk Management Plan (RMP) System. The Risk Management Plan (RMP) database stores the risk management plans reported by companies that handle, manufacture, use, or store certain flammable or toxic substances, as required under section 112(r) of the Clean Air Act (CAA). FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RMP facilities once the RMP data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

Tags: 020:072, air, cleanup, compliance, drinking water, environment, facilities, regulatory, remediation, united states
Organization: U.S. Environmental Protection Agency
EPA Facility Registry Service (FRS): NCDB

This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the National Compliance Database (NCDB). The NCDB supports implementation of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA). FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to NCDB facilities once the NCDB data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

Tags: 020:072, air, cleanup, compliance, drinking water, environment, facilities, regulatory, remediation, united states
Organization: U.S. Environmental Protection Agency
BLM OR Fish Resident Arc Hub

FISH_RESIDENT_ARC: This feature class is used to determine whether a particular resident fish species is present in a stream, which can affect protection buffer widths in land management plans and activities. The data comes primarily from the Hydro Update Project, and is from actual observations or from modeled fish presence. While each district carried out their determinations in various ways, generally verification means that the fish biologist or other trained specialist was able to see the fish at the stream.

Tags: anadromous, aquatic, biota, continuity, creeks, environment, fish, fisheries, headwaters, hydrology, inception, inlandwaters, invasive, lakes, lentic, lotic, non-native, oregon, periodicity, planflow, reservoirs, resident, riparian, rivers, stream-order, streamflow, streams, washington, wetlands, wildlife
Organization: Department of the Interior
EPA Facility Registry Service (FRS): AIRS_AQS

This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Air Quality System (AQS). The AQS contains ambient air pollution data collected by EPA, State, Local, and Tribal air pollution control agencies from thousands of monitoring stations. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to monitoring stations once the AQS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

Tags: 020:072, air, cleanup, compliance, drinking water, environment, facilities, regulatory, remediation, united states
Organization: U.S. Environmental Protection Agency