AndreaBozzo/ceres-open-data-index huggingface dataset:
[DEPRECATED] Rush Hour Routes

<i><strong>Deprecation warning (November 2021): This dataset was part of a program that is now inactive. As such, we no longer actively maintain it but it remains present for historical reference. </strong></i> 

<strong>A. SUMMARY</strong> 
This dataset shows routes that the City has targeted for congestion mitigation. The four focus intervention methods are: (1) working with construction projects, (2) limiting double parking, (3) working with delivery trucks, and (4) the 'Don't Block the Box' public awareness program. For more information regarding the City's Rush Hour Congestion Strategy please see the press release from May 14, 2015 in the Attachments section below.

<strong>B. METHODOLOGY</strong> 
Line geometry generated based on roadway centerlines. 

<strong>C. UPDATE FREQUENCY</strong> 
No regular updates 

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

Tags: congestion, rush-hour, rush-hour-routes
Organization: City of San Francisco
SFEC Form 3630 - Recipients of Major Behested Payments - Proceedings

Under San Francisco Campaign & Governmental Conduct Code Section 3.630(a)(1), any person who receives a behested payment, or series of behested payments in a calendar year, totaling $100,000 or more must file this form within 30 days following the date on which the payments total $100,000 or more. For example, if your behested payments received total $100,000 on June 12, 2019, you must submit this form by July 12, 2019. You must notify the Ethics Commission that the recipient has received such payment(s) and specify the date on which the payment(s) equaled or exceeded $100,000.

Additionally, under San Francisco Campaign & Governmental Conduct Code Section 3.630(a)(2), if you filed this report to notify the Ethics Commission that you received behested payments totaling $100,000 or more, you must file this form again between 12 and 13 months following the date on which the payment(s) or payments total $100,000 or more and submit Schedule A. For example, if your behested payments total $100,000 on June 12, 2019, you must submit Schedule A between June 12, 2020 and July 12, 2020. Filers must disclose all payments made that were funded in whole or in part by the behested payment(s) made at the behest of the City officer and if the person was an interested party in any City decision(s) involving the officer in the 12 months following the date on which the payment(s) were made.

This dataset is a subtable of the parent dataset "SFEC Form 3630 - Recipients of Major Behested Payments - Filings", linked from the dataset Primer. It must be joined using the DocuSign ID to connect to the parent table.

If in 12 months following the "Behested Payment Date" on the "Filings" dataset, the recipient of a major behested payment was an interested party in any City decision involving the "City Officer Name" on the "Filings" dataset, the filer must report the proceeding(s), and describe the outcome(s) sought in such proceedings or decisions.  If any contact was made in relation to a proceeding, the filer must provide a brief description (date, method, purpose of contact).  A "contact" means any communication, oral or written, including communication made through an agent, associate or employee, for the purpose of influencing local legislative or administrative action.

Organization: City of San Francisco
San Andreas M7.8 Earthquake Scenario

This represents projected ground shaking in the City and County of San Francisco during a M7.8 earthquake on the San Andreas fault. The map updated in 2013 by USGS and ABAG. The specific scenario is: M7.8 San Andreas (All Northern Sections). This was used for the 2019 HCR update process.

For Visualization:
≤ 5.5 = Light
≤ 6.5 = Moderate
≤ 7.5 = Strong
≤ 8.5 = Very Strong
≤ 9.5 = Violent

Tags: geologic, hcr, san-andreas-scenario
Organization: City of San Francisco
Campaign Finance - Status Of Voluntary Expenditure Ceiling VECs in November 8, 2016 Election

Under S.F. Campaign and Governmental Conduct Code 1.128, a candidate who wishes to accept the voluntary expenditure ceiling must file Form SFEC-128 no later than the August 12, 2016 deadline for filing nomination papers.In a race where at least one candidate has accepted the VEC, all candidates running for office in the same race must file Form SFEC 134(b) within 24 hours of receiving contributions, making expenditures, or having funds that exceed 100 percent of the applicable VEC.

Tags: campaign-finance, election, vec
Organization: City of San Francisco
Campaign Finance - Status Of Voluntary Expenditure Ceiling VECs In November 4, 2014 Election

Under S.F. Campaign and Governmental Conduct Code 1.128, a candidate who wishes to accept the voluntary expenditure ceiling must file Form SFEC-128 no later than the August 8, 2014 deadline for filing nomination papers. In a race where at least one candidate has accepted the VEC, all candidates running for office in the same race must file Form SFEC 134(b) within 24 hours of receiving contributions, making expenditures, or having funds that exceed 100 percent of the applicable VEC. In addition, any person other than a candidate committee who makes or incurs expenditures for the purpose of distributing independent expenditures, electioneering communications, or member communications that clearly identify any candidate that equals or exceeds $5,000 per candidate, must within 24 hours of each time it reaches the $5,000 threshold file a Third Party Disclosure Form.

Tags: 2014, campaign, ceiling, election, ethics, expenditure, finance, november-4, vec, voluntary
Organization: City of San Francisco
San Francisco Population and Demographic Census Data

<strong>A. SUMMARY</strong>
This dataset contains population and demographic estimates and associated margins of error obtained and derived from the <a href="https://www.census.gov/">US Census</a>. The data is presented over multiple years and geographies. The data is sourced primarily from the <a href="https://www.census.gov/programs-surveys/acs">American Community Survey</a>. 

<strong>B. HOW THE DATASET IS CREATED</strong>
The raw data is obtained from the <a href="https://www.census.gov/data/developers/data-sets.html">census API</a>. Some estimates as published as-is and some are derived. 

<strong>C. UPDATE PROCESS</strong>
New estimates and years of data are appended to this dataset. To request additional census data for San Francisco, email support@datasf.org 

<strong>D. HOW TO USE THIS DATASET</strong>
The dataset is long and contains multiple estimates, years and geographies. To use this dataset, you can filter by the <a href="https://data.sfgov.org/d/dmx4-ig78">overall segment</a> which contains information about the source, years, geography,  demographic category and reporting segment. For census data used in specific reports, you can filter to the <a href="https://data.sfgov.org/d/kctw-xj99">reporting segment</a>. To use a subset of the data, you can create a filtered view. More information of how to filter data and create a view can be found <a href="https://data.sfgov.org/videos#basic-filtering">here</a>

Tags: census
Organization: City of San Francisco
SFMTA - Transit Vehicle Location History (2020)

<strong>A. SUMMARY</strong>
Historical location data of SFMTA Transit Vehicles for 2020. Location information includes reported location date and time, vehicle identifier, location latitude and longitude, heading and speed. 
<strong>B. HOW THE DATASET IS CREATED</strong>
Vehicle location data is provided by the SFMTA’s computer aided dispatch and automated vehicle location system. 
<strong>C. UPDATE PROCESS</strong>
Historical Data. This data will only be updated until the end of the year indicated.
<strong>D. HOW TO USE THIS DATASET</strong>
Location data can be used to visualize vehicle routes and city wide traffic patterns.

Tags: avl, gps, muni, sfmta, transit
Organization: City of San Francisco
Vision Zero Benchmarking

<strong>A. SUMMARY</strong>
This dataset contains the underlying data for the  <u><a href="https://www.sf.gov/vision-zero-benchmarking">Vision Zero Benchmarking website</a></u>. 
Vision Zero is the collaborative, citywide effort to end traffic fatalities in San Francisco. 
The goal of this benchmarking effort is to provide context to San Francisco’s work and progress on key Vision Zero metrics alongside its peers. The Controller's Office City Performance team collaborated with the San Francisco Municipal Transportation Agency, the San Francisco Department of Public Health, the San Francisco Police Department, and other stakeholders on this project. 

<strong>B. HOW THE DATASET IS CREATED</strong>
The Vision Zero Benchmarking website has seven major metrics. The City Performance team collected the data for each metric separately, cleaned it, and visualized it on the website. This dataset has all seven metrics and some additional underlying data. The majority of the data is available through public sources, but a few data points came from the peer cities themselves. 

<strong>C. UPDATE PROCESS</strong>
This dataset is for historical purposes only and will not be updated. To explore more recent data, visit the source website for the relevant metrics.

<strong>D. HOW TO USE THIS DATASET</strong>
This dataset contains all of the Vision Zero Benchmarking metrics. Filter for the metric of interest, then explore the data. Where applicable, datasets already include a total. For example, under the Fatalities metric, the "Total Fatalities" category within the metric shows the total fatalities in that city. Any calculations should be reviewed to not double-count data with this total. 

<strong>E. RELATED DATASETS</strong>
 N/A

Organization: City of San Francisco
Child Abuse Prevention Services in San Francisco

Contains information on child abuse prevention services provided by multiple departments within the City and County of San Francisco, including services run directly by City departments and programs provided by contracted organizations. Information was collected by the Controller’s Office as a first step in creating a county-wide abuse prevention plan, and includes program descriptions, cost information (where available), and categorizations by service area, protective factor, target audience, and level of prevention. This data was originally collected in FY19 for programs run during FY18. For more information please see the Controller's report at http://openbook.sfgov.org/webreports/details3.aspx?id=2778

Tags: abuse-prevention, children, contracts, services
Organization: City of San Francisco
Community Development Public Service Program Activities by Supervisor District

Through the Community Development Public Service Programs, MOHCD funds a wide range of social services, with two primary objectives: 1) Families and individuals are resilient and economically self-sufficient, and 2) Families and individuals are stably housed. These objectives are met through specific funding strategies developed in our ten program areas. This data reports MOHCD’s efforts toward accomplishing those two objectives across each program area. Data reflects activities funded for Fiscal Year 2018-2019 as of June 30, 2019.

Organization: City of San Francisco
Supervisor District (2022) to ZIP Code Crosswalk

<strong>A. SUMMARY</strong>
This dataset contains the list of intersecting <u><a href="https://data.sfgov.org/d/f2zs-jevy">2022 Supervisor Districts</a></u> and <u><a href="https://data.sfgov.org/d/srq6-hmpi">ZIP Codes</a></u> for the City and County of San Francisco. It can be used to identify which ZIP codes overlap with Supervisor Districts (2022) and vice verse.

<strong>B. HOW THE DATASET IS CREATED</strong>
The dataset was created with a spatial join between the 2022 Supervisor districts and ZIP codes. 

<strong>C. UPDATE PROCESS</strong>
This is a static dataset 

<strong>D. HOW TO USE THIS DATASET</strong>
This dataset is a many-to-many relationship between supervisor districts and ZIP codes. A single supervisor district can contain or intersect with multiple ZIP codes and similarly, a single ZIP code can be in multiple supervisor districts. This dataset does not contain geographic boundary data (i.e. shapefiles/ GEOMs). The datasets below containing geographic boundary data should be used for analysis of data with geographic coordinates.

<strong>E. RELATED DATASETS</strong>
<u><a href="https://data.sfgov.org/d/f2zs-jevy">Supervisor Districts (2022)</a></u>
<u><a href="https://data.sfgov.org/d/srq6-hmp">San Francisco ZIP Codes</a></u>
<u><a href="https://data.sfgov.org/d/v22h-ujnv">Supervisor District (2012) to ZIP Code Crosswalk</a></u>
<u><a href="https://data.sfgov.org/d/sevw-6tgi">Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods</a></u>

Tags: supervisor-district, zip-code
Organization: City of San Francisco
[HISTORIC] FPPC 803 - Behested Payment Report

This dataset is no longer updated. As of December 2018, Please visit https://sfethics.org/disclosures/city-officer-disclosure/payments-made-at-the-behest-of-an-elected-officer to view new Form 803 filings 
--- 
In accordance with the California Government Code section 82015, payments made at the behest of elected officials are presumed not to be contributions if they meet the following guidelines:(a) the payments are made principally for legislative, governmental, or charitable purposes, and(b) the payments are made principally for purposes unrelated to the official's candidacy for elected office. 
Although such payments are not contributions, they MUST BE REPORTED on the Report of Payments Made at the Behest of an Elected Officer form to the elected officer's agency within 30 days after the total payments made by a single source equal to or exceed $5,000 in a calendar year. The agency must forward a copy of the report to the Ethics Commission within 30 days of its receipt.
After the $5,000 threshold is met for a particular calendar year, all subsequent payments made by the same source during the calendar year must be reported by the elected officer within 30 days after the date the payment is made.
These reports are public records.  The table includes all FPPC 803 forms filed with the Ethics Commission from April 20, 2015 to March 2018.

Tags: 803, behested, charitable, fppc, payments
Organization: City of San Francisco
Travel Decision Survey Data 2015

This workbook provides data and data dictionaries for the SFMTA 2015 Travel Decision SurveySFMTA Travel Decision Survey Data for 2015

On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) undertook a Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties of Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano.

The primary goals of this study were to:
• Assess percent mode share for travel in San Francisco for evaluation of the SFMTA Strategic Objective 2.3: Mode Share target of 50% non-private auto travel by FY2018 with a 95% confidence level and MOE +/- 5% or less.
• Evaluate the above statement based on the following parameters:  number of trips to, from, and within San Francisco by Bay Area residents. Trips by visitors to the Bay Area and for commercial purposes are not included.
• Provide additional trip details, including trip purpose for each trip in the mode share question series.
• Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco.
• Collect data on travel behavior and opinions that support other SFMTA strategy and project evaluation needs.

The survey was conducted as a telephone study among 762 Bay Area residents aged 18 and older. Interviewing was conducted in English, Spanish, and Cantonese. Surveying was conducted via random digit dial (RDD) and cell phone sample. 
All three survey datasets incorporate respondent weighting based on age and home location; utilize the “weight” field when appropriate in your analysis. 

The survey period for this survey is as follows:
2015: August – October 2015

The margin of error is related to sample size (n). For the total sample, the margin of error  is 3.5% for a confidence level of 95%. When looking at subsets of the data, such as just the SF population, just the female population, or just the population of people who bicycle, the sample size decreases and the margin of error increases. Below is a guide of the margin of error for different samples sizes. Be cautious in making conclusions based off of small sample sizes.
 
At the 95% confidence level is:
• n = 762(Total Sample). Margin of error = +/- 3.5%
• n = 382. Margin of error = +/- 4.95%
• n = 100. Margin of error = +/- 9.80%

Tags: bicycling, driving, mode-share, survey, taxis, tnc, transit, transportation, walking
Organization: City of San Francisco
SFEC Form 3620 - Donors of Behested Payments Report - Filings

On January 1, 2019, new local laws went into effect that established new requirements for behested payment reports. If behested payments are made at a City officer’s behest, the donors and recipients of such payments may be required to file public disclosures regarding the payments.

A donor must file Form SFEC-3620 if he or she makes a behested payment, or series of behested payments in a single calendar year of $10,000 or more at the behest of an officer. The donor only needs to make this disclosure if the donor is an “interested party” in a proceeding involving the officer that solicited the payment(s).

If a donor has previously filed a Form SFEC-3.620 and during the same calendar year, subsequently makes an additional behested payment at the behest of the same officer, the donor must file an additional For SFEC-3.620 only if the donor has become involved in additional proceedings or made additional contacts that were not disclosed pursuant to section 3.620(a)(1)-(3) on the initial Form SFEC-3.620.

Each row on this table represents the contents of a Form 3620 filed with the Ethics Commission. There is one sub-tables of information on Form 3620, "Payee Information", that is parsed into a separate dataset "SFEC Form 3620 - Donors of Behested Payments Report - Payees" at https://data.sfgov.org/City-Management-and-Ethics/SFEC-Form-3620-Donors-of-Behested-Payments-Report-/kjzi-iji7. Join this dataset with the sub-table using the DocuSignID.

Organization: City of San Francisco
Blog | COVID-19 TOPx Momentum Continues with the Open Data for Good Challenge

Following the COVID-19 TOPx Technology Development Sprint, HHS and the U.S. Census Bureau continue data-driven collaboration through the Open Data for Good Grand Challenge for the American public to develop digital tools using government data. Cash prizes total $100,000 for health and COVID-19 solutions.

Tags: census, innovation, open-data, topx
Organization: U.S. Department of Health & Human Services
Census 2020: Block Groups for San Francisco

<strong>A. SUMMARY</strong>
Census Block groups are the next level above census blocks in the geographic hierarchy. Block groups are a combination of census blocks that is a subdivision of a census tract.A block group consists of all census blocks whose numbers begin with the same digit in a given census tract; for example, block group 3 includes all census blocks numbered in the 300s. More information on the census tracts can be found <u><a href="https://www.census.gov/programs-surveys/geography/about/glossary.html#:~:text=Block%20Groups%20(BGs)%20are%20statistical,data%20and%20control%20block%20numbering.">here</a></u>.

<strong>B. HOW THE DATASET IS CREATED</strong>
The boundaries are uploaded from TIGER/Line shapefiles provided by the <u><a href="https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2021&layergroup=Block+Groups">U.S. Census Bureau</a></u>. 
 
<strong>C. UPDATE PROCESS</strong>
This dataset is static. Changes to the census blocks are tracked in multiple datasets. See here for <u><a href="https://data.sfgov.org/d/wymm-gfht">2000</a></u> census tract boundaries. 

<strong>D. HOW TO USE THIS DATASET</strong>
This boundary file can be joined to other census datasets on GEOID. Column descriptions can be found on in the <u><a href="https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.2020.html">technical documentation</a></u> included on the census.gov website


<strong>E. RELATED DATASETS</strong>
 <u><a href="https://data.sfgov.org/d/tmph-tgz9">Census 2020: Census Tracts for San Francisco</a></u> 
 <u><a href="https://data.sfgov.org/d/sevw-6tgi">Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods</a></u> 
 <u><a href="https://data.sfgov.org/d/p2fw-hsrv">Census 2020: Blocks for San Francisco</a></u>
 <u><a href="https://data.sfgov.org/d/e2st-aufe">Census 2020: Blocks for San Francisco Clipped to SF Shoreline</a></u>
 <u><a href="https://data.sfgov.org/d/6rf8-dnst">Census 2020: Blocks Groups for San Francisco Clipped to SF Shoreline</a></u>

Tags: census, census-block-group
Organization: City of San Francisco
Liquor Moratorium Districts - Dry Precincts - KML - Historical

NOTE: This dataset is historical-only. The Illinois Liquor Control Act of 1934 permits voters in any precinct in the City of Chicago to vote an entire precinct “dry” through a local option referendum. 
 
If a precinct has been voted “Dry/Dry,”  no liquor licenses, other than a caterer’s liquor license, may be issued.  
If a precinct has been voted "Dry/Wet" no liquor licenses can be obtained for the consumption of alcohol on premise but the sale of package goods is allowed along with the caterer’s liquor license. 
 
The VOTE_DRY_I column is the Precinct/Ward which was voted dry.  It reflects the Ward/Precinct that was effective at the date of the referendum.  Ward/Precinct boundaries may have changed since that date.  STATUS column indicates if the precinct was voted 'dry/dry' or 'dry/wet'.  

To view or use this KML file, special GIS software such as Google Earth is required. To download, right-click the "Download" link above and choose "Save link as."

Tags: gis, historical, kml, liquor
Organization: City of Chicago