AndreaBozzo/ceres-open-data-index huggingface dataset:
Unintentional Drug Overdose Death Rate by Race/Ethnicity

<strong>A. SUMMARY</strong> 
This dataset includes unintentional drug overdose death rates by race/ethnicity by year. This dataset is created using data from the California Electronic Death Registration System (CA-EDRS) via the Vital Records Business Intelligence System (VRBIS). Substance-related deaths are identified by reviewing the cause of death. Deaths caused by opioids, methamphetamine, and cocaine are included. Homicides and suicides are excluded. Ethnic and racial groups with fewer than 10 events are not tallied separately for privacy reasons but are included in the “all races” total.   

Unintentional drug overdose death rates are calculated by dividing the total number of overdose deaths by race/ethnicity by the total population size for that demographic group and year and then multiplying by 100,000. The total population size is based on estimates from the <u><a href="https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-detail.html">US Census Bureau County Population Characteristics for San Francisco, 2022 Vintage</a></u> by age, sex, race, and Hispanic origin. 

These data differ from the data shared in the <u><a href="https://data.sfgov.org/dataset/Preliminary-Accidental-Drug-Overdose-Deaths/jxrr-bmra"> Preliminary Unintentional Drug Overdose Death by Year dataset </a></u> since this dataset uses finalized counts of overdose deaths associated with cocaine, methamphetamine, and opioids only.  

<strong>B. HOW THE DATASET IS CREATED</strong> 
This dataset is created by copying data from the <u><a href="https://www.csuhsf.org/substance-use-trends-san-francisco">Annual Substance Use Trends in San Francisco report</a></u> from the San Francisco Department of Public Health Center on Substance Use and Health. 

<strong>C. UPDATE PROCESS</strong> 
This dataset will be updated annually, typically at the end of the year. 

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

<strong>E. RELATED DATASETS</strong> 
<u><a href="https://data.sfgov.org/d/ed3a-sn39">Overdose-Related 911 Responses by Emergency Medical Services</a></u> 
<u><a href="https://data.sfgov.org/d/jxrr-bmra">Preliminary Unintentional Drug Overdose Deaths</a></u> 
<u><a href="https://data.sfgov.org/d/ubf6-e57x">San Francisco Department of Public Health Substance Use Services</a></u>

<strong>F. CHANGE LOG</strong> 
<UL><LI>12/16/2024 - Updated with 2023 data. Asian/Pacific Islander race/ethnicity group was changed to Asian. 
<LI>12/16/2024 - Past year totals by race/ethnicity were revised after obtaining accurate race/ethnicity for some decedents that were previously marked as “unknown” race/ethnicity.

Organization: City of San Francisco
Equity Strategy Neighborhoods

A. SUMMARY Feature class includes geographic boundaries of neighborhoods in San Francisco identified as Muni Service Equity Strategy Neighborhoods.  These are defined for the Muni Service Equity Policy adopted by the SFMTA Board of Directors in May 2014.  For more information on this strategy refer to the latest FY Year 2016-2017 and 2017-2018 report: https://www.sfmta.com/sites/default/files/agendaitems/2016/4-5-16%20Item%2013%20Muni%20Equity%20Strategy%20Report_1.pdf

B. METHODOLOGY  Boundaries were created through geospatial analysis of demographic data using census tracts and defined boundaries of city planning neighborhoods. The following criteria was used in selecting neighborhood concentrations of households with low income, concentrations of residents who identify with a race other than white, zero vehicle ownership households, and concentrations of affordable and public housing developments.

C. UPDATE FREQUENCY  Geospatial analysis conducted in concurrence with bi-annual Muni Service Equity Strategy report  

D. OTHER CRITICAL INFO  Not all equity strategy neighborhood boundaries use their defined city planning neighborhood boundaries. Some city neighborhoods were merged or adjusted to include bordering census tracts

Tags: bayview, chinatown, equity, equity-strategy, equity-strategy-neighborhoods, excelsior-outer-mission, inner-mission, low-income-neighborhoods, muni-service-equity-strategy, tenderloin-soma, title-vi, transit-access, vistacion-valley, western-addition
Organization: City of San Francisco
Budget - FTE

The San Francisco Controller's Office maintains a database of budgetary staffing data that appears in summarized form in each Annual Salary Ordinance (ASO). This data is presented on the Budget report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format. New data is added on an annual basis when the ASO is published for each new fiscal year. Data is available from fiscal year 2010 forward.

Tags: budget, fte, open-book, openbook, sfopenbook, staffing
Organization: City of San Francisco
Tax Increment Financing (TIF) Annual Report - Job and Increment Creation

The number of projected jobs created versus the actual jobs created for new redevelopment agreements in the Reporting Year.  The increment projected versus the actual increment created for new  redevelopment agreements in the Reporting Year. 

For the detailed reports for each TIF district for each year, please see https://www.chicago.gov/city/en/depts/dcd/supp_info/tif-district-annual-reports-2004-present.html.

Tags: tif, tif-annual-report, workforce
Organization: City of Chicago
Tax Increment Financing (TIF) Annual Report - Itemized List of Expenditures from the Special Tax Allocation Fund

An itemized list of all the expenditures in a fund balance for each TIF district during the Reporting Year.

For the detailed reports for each TIF district for each year, please see https://www.chicago.gov/city/en/depts/dcd/supp_info/tif-district-annual-reports-2004-present.html.

Tags: tif, tif-annual-report
Organization: City of Chicago
MESSENGER E/V/H/SW EPPS CALIBRATED FIPS V1.0

Abstract ======== This data set consists of the MESSENGER Energetic Particle and Plasma Spectrometer (EPPS) calibrated observations, also known as CDRs. The system encompasses 2 instrument subsystems - the Energetic Particle Spectrometer (EPS) and the Fast Imaging Plasma Spectrometer (FIPS). This data set contains FIPS instrument data. FIPS covers the energy/charge range of < 50 eV/q to 20 keV/q. There are five FIPS CDR data products.

Tags: calibration, earth, mercury, messenger, venus
Organization: National Aeronautics and Space Administration
Tax Increment Financing (TIF) Annual Report - Analysis of Special Tax Allocation Fund

Analysis on the annual TIF report to show the revenue, expenditures and changes in the fund balance for each TIF district during the Reporting Year.

For the detailed reports for each TIF district for each year, please see https://www.chicago.gov/city/en/depts/dcd/supp_info/tif-district-annual-reports-2004-present.html.

Tags: tif, tif-annual-report
Organization: City of Chicago
Citi Bike System Data

Data to solve Citi Bike's Big Idea.
Citi Bike Live Station Feed (JSON) - https://gbfs.citibikenyc.com/gbfs/en/station_status.json

Please note:
Files not prefixed with ‘JC’ contain Citi Bike System Data from NYC.
Files prefixed with ‘JC’ contain System Data from Jersey City.

Tags: big-apps, bigapps, citi-bike, citibike, city-government, transportation
Organization: City of New York
Adding Chemicals to Water Supply Permits

The Adding Chemicals to Water Supply permit is required for persons who engage in the business of chemically treating the drinking water supply within a building. This permit allows chemicals to be added only for anti-corrosion, anti-scaling or disinfection purposes. This dataset contains a list of current permittees who may add chemical treatment to a building's drinking water in New York City.  To learn more about this permit program and related health code, please visit<a href="https://www.nyc.gov/nycbusiness/description/adding-chemicals-to-water-supply-permit" target="_blank" rel="noopener noreferrer"> https://www.nyc.gov/nycbusiness/description/adding-chemicals-to-water-supply-permit</a>
</p>
Data is collected to track the adding chemicals to water supply permits issued by DOHMH and is managed by the Office of Public Health Engineering.			
</p>
This data can be used to find a company or individual that has a current adding chemicals to water supply permit in New York City. It can also be used to verify the permit for a business or persons that engages in the business of chemically treating the drinking water supply in a building.

Tags: adding-chemicals-to-water, chemically-treating-drinking-water-in-buildings, eater, treatment
Organization: City of New York
DOHMH Dog Bite Data

NYC Reported Dog Bites.

Section 11.03 of NYC Health Code requires all animals bites to be reported within 24 hours of the event.

Information reported assists the Health Department to determine if the biting dog is healthy ten days after the person was bitten in order to avoid having the person bitten receive unnecessary rabies shots. Data is collected from reports received online, mail, fax or by phone to 311 or NYC DOHMH Animal Bite Unit. Each record represents a single dog bite incident.   Information on breed, age, gender and Spayed or Neutered status have not been verified by DOHMH and is listed only as reported to DOHMH. A blank space in the dataset means no data was available.

Organization: City of New York
NYC Human Powered Boat Launches

Access points for human powered boat launches in NYC, that are shown on the <a href="https://waterfrontaccess.planning.nyc.gov/">Waterfront Access Map (WAM)</a>.

Tags: boating, dcp, department-of-city-planning, human-powered-boat-launches, nyc, open-space, parks, publicly-accessible-waterfront, recreation, shore-public-access, wam, waterfront-access-map, waterfront-public-access-areas, wpaa
Organization: City of New York
New York City Bike Routes

The New York City Department of Transportation (NYC DOT) builds and manages bicycle facilities across the five boroughs, alongside other City agencies, New York State, and external partners. This dataset contain records of the current and historic network of designated bicycle routes and facilities, including bicycle facility type and relevant street information represented as line segments. Additional information about NYC DOT's commitment to safe all-ages and abilities bicycling, along with data about the growth of bicycling in NYC and PDF maps of the current network can be found at: https://www.nyc.gov/html/dot/html/bicyclists/bicyclists.shtml

Tags: bicycle, bicycles, bike, bikes, bikeway, bikeways, cycle, cycletrack, green-wave, greenway, greenways, lanes, network, paths, routes, track
Organization: City of New York
VG2 NEP MAG RESAMP RDR HELIOGRAPHIC COORDINATES 1.92SEC V1.0

This data set includes data from the Low Field Magnetometer (LFM) during the inbound Neptune encounter beginning in the solar wind and continuing until the first magnetopause crossing. The magnetometer are given in Heliographic coordinates and the data have been averaged from the 60ms instrument sample rate to a 1.92 second resampled rate. The dataset consists of the following columns: 1) ctime (decimal seconds since 1966-01-01T00:00:00.000), 2) pdstime (ISO standard time format), 3-5) spacecraft clock (m65536,m60,fds-line), 6) magnetometer id (1 = LFM, 2 = HFM), 7), Br (radial component), 8) Bt (tangential component), 9) Bn (normal component), 10) Bmag (magnitude of the average components), 11) avg_Bmag (average of the magnitude of the raw components), 12) Lambda (longitude = tan^-1(Bt/Br)), 13) Delta (latitude = sin^-1(Bn/avg_Bmag) ), 14-16) rms vector (pythagorean root mean square deviation of the component averages), 17) npts (number of points in average), 18) flag a character string which indicates software or s/c hardware intervention which reduces confidence in the data (NULL flags represent 'good' data).

Tags: comet-sl9-jupiter-collision, neptune, voyager
Organization: National Aeronautics and Space Administration
NYCHA Development Data Book

Contains the main body of the "Development Data Book". The Development Data Book lists all of the Authority's Developments alphabetically and includes information on the development identification numbers, program and construction type, number of apartments and rental rooms, population, number of buildings and stories, street boundaries, and political districts.

Tags: development-data-book, developments, locations, nyc-housing, nycha, programs, public-housing, statistics
Organization: City of New York
Wastewater Co-digestion and Biogas-to-grid Performance Indicators

This dataset contains monthly performance indicators for Wastewater Resource Recovery Facilities (WRRFs) that operate co-digestion and biogas-to-grid programs. The New York City Department of Environmental Protection (DEP) treats the solid component of the City’s wastewater using anaerobic digestion. This biological process produces biosolids, which can be used as fertilizer, and biogas, a renewable energy source.

Co-digestion is the process of digesting food scraps alongside sewage sludge. The biogas generated is used on-site in boilers to heat the digesters and provide space heating. Excess biogas undergoes biogas-to-grid treatment, where it is purified and upgraded to renewable natural gas (RNG). Following purification, the RNG is exported to the natural gas pipeline as a direct replacement to fossil fuels. Excess biogas is flared during temporary system outages of the biogas cleaning system due to maintenance, operational constraints, or emergency events.

The co-digestion and biogas-to-grid program provides a local recycling outlet for food scraps, transforming waste into renewable energy. Together, they reduce greenhouse gas emissions by replacing a portion of fossil natural gas with RNG and avoiding the methane emissions that would occur if the food scraps were disposed of in a landfill. For more information visit: https://www.nyc.gov/site/dep/whats-new/resource-recovery.page

Tags: biogas, biogas-to-grid, food-scraps, food-waste, newtown-creek, rng, sludge, wastewater
Organization: City of New York
Tax Increment Financing (TIF) Annual Report - New Redevelopment Agreements

A list of the new redevelopment agreements executed in the Reporting Year.

For the detailed reports for each TIF district for each year, please see https://www.chicago.gov/city/en/depts/dcd/supp_info/tif-district-annual-reports-2004-present.html.

Tags: tif, tif-annual-report
Organization: City of Chicago
Tax Increment Financing (TIF) Annual Report - Projects

A list of all active or completed projects or programs in a Redevelopment Project Area during the Reporting Year.

For the detailed reports for each TIF district for each year, please see https://www.chicago.gov/city/en/depts/dcd/supp_info/tif-district-annual-reports-2004-present.html.

Tags: tif, tif-annual-report
Organization: City of Chicago
Neighborhood Map Atlas Neighborhoods

Neighborhood Map Atlas neighborhoods are derived from the <a href='https://clerk.seattle.gov/~public/nmaps/aboutnm.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>Seattle City Clerk's Office Geographic Indexing Atlas</a>.  These are the smallest neighborhood areas and have been supplemented with alternate names from other sources in 2020.  They roll up to the district areas.  The sub-neighborhood field contains the most common name and the alternate name field is a comma delimited list of all the alternate names.<div><br /></div><div>The original atlas is designed for subject indexing of legislation, photographs, and other documents and is an unofficial delineation of neighborhood boundaries used by the City Clerks Office. Sources for this atlas and the neighborhood names used in it include a 1980 neighborhood map produced by the Department of Community Development, Seattle Public Library indexes, a 1984-1986 Neighborhood Profiles feature series in the Seattle Post-Intelligencer, numerous parks, land use and transportation planning studies, and records in the Seattle Municipal Archives. Many of the neighborhood names are traditional names whose meaning has changed over the years, and others derive from subdivision names or elementary school attendance areas.</div><div><br /></div><div><p><span style='font-size:10.0pt;'>Disclaimer:
The Seattle City Clerk's Office Geographic Indexing Atlas is designed for
subject indexing of legislation, photographs, and other records in the City
Clerk's Office and Seattle Municipal Archives according to geographic area.
Neighborhoods are named and delineated in this collection of maps in order to
provide consistency in the way geographic names are used in describing records
of the Archives and City Clerk, thus allowing precise retrieval of records. The
neighborhood names and boundaries are not intended to represent any
&quot;official&quot; City of Seattle neighborhood map. </span></p>

<p><span style='font-size:10pt;'>The Office of the City Clerk makes no claims
as to the completeness, accuracy, or content of any data contained in the
Geographic Indexing Atlas; nor does it make any representation of any kind,
including, but not limited to, warranty of the accuracy or fitness for a
particular use; nor are any such warranties to be implied or inferred with
respect to the representations furnished herein. The maps are subject to change
for administrative purposes of the Office of the City Clerk. Information
contained in the site, if used for any purpose other than as an indexing and
search aid for the databases of the Office of the City Clerk, is being used at
one's own risk.</span><br /></p></div>

Tags: gis, neighborhood, planning, seattle-gis-open-data
Organization: City of Seattle
MD Agricultural Land Preservation Foundation CY19 Acquistions detail

The Maryland Agricultural Land Preservation Foundation (MALPF), housed within the Maryland Department of Agriculture (MDA), protects agricultural lands through the use of perpetual easements. This program was created by the Maryland General Assembly in 1977, is governed by the Agricultural Article, Sections 2-515 through 2-516 of the Annotated Code of Maryland. Easements may be donated or purchased, protecting in perpetuity the land for agricultural purposes. There is a formal process for obtaining these designations, including the Maryland Board of Public Works approval. These data are intended for general guidance and use only. 

This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.

Feature Service Link: 

https://mdgeodata.md.gov/imap/rest/services/Environment/MD_ProtectedLandsAcquisitions/FeatureServer/5

Organization: State of Maryland
Footprint

Maryland aboveground biomass map [30m] generated using Random Forests regression models. For more information visit https://daac.ornl.gov/CMS/guides/CMS_Maryland_AGB_Canopy.html. High Resolution Carbon Monitoring and Modeling: A NASA CMS Phase II Study Last Updated: 2011

Feature Link: 

https://mdgeodata.md.gov/imap/rest/services/Biota/MD_Biomass/MapServer/2

Organization: State of Maryland
Maryland_Adams_Radar_Geographic_Area_of_Concern

Radar viewshed for the Advanced Dynamic Aircraft Measurement Systems (ADAMS) radar at Naval Air Station Patuxent River.</SPAN></P><P><SPAN>Radars locate an object’s position by emitting electromagnetic waves that reflect off objects, such as planes, birds, and mountains, and are returned to the radar. The electromagnetic waves that are returned to the radar provide the information needed to calculate an estimated size, location, speed, and direction of an object.</SPAN></P><P><SPAN>The radar viewshed, or field of view, is the area that is within range of a radar’s electromagnetic waves. The range of the viewshed is influenced by multiple factors, including the radar’s look angle, terrain, weather, as well as natural and manmade objects. Natural and man-made structures within a radar’s field of view can limit the range of the viewshed by blocking electromagnetic waves, which impacts the integrity and usefulness of a radar in identifying and locating aircraft, watercraft, weather, or other objects such as missiles. Additionally, other electromagnetic activity, such as radio waves or microwaves, in the vicinity of a radar transmitter and/or receiver (typically within 8 to 10 miles) can interfere with the electromagnetic waves emitted by the radar. One of the most crucial components within the radar viewshed is the line-of-sight, which is the linear path between the transmitter and receiver (when not the same antenna). An obstruction to this linear path can result in loss communication signals between the transmitter and receiver rendering the radar ineffective.

Feature Link: 

https://mdgeodata.md.gov/imap/rest/services/Military/MD_Military_SmartDG/MapServer/11

Organization: State of Maryland
Maryland_Installation_Coordination_Buffer_

This geospatial dataset contains the authoritative point locations and (where available) boundaries of Department of Defense sites, commonly referred to as installations, ranges, training areas, bases, forts, camps, armories, centers, etc. These installations are, in many cases, comprised of a number of subordinate sites. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities. Points are placed either at or near the center of each site and do not reflect any particular landmark. Boundaries encompass federally owned or otherwise managed lands, as defined in the Fiscal Year 2019 Base Structure Report (BSR). The point and boundary location datasets are intended for planning purposes only, and do not necessarily represent the legal or surveyed land parcel boundaries. Please use the accompanying release notes to validate whether this dataset is suitable for your intended use.

Feature Link: 
https://mdgeodata.md.gov/imap/rest/services/Military/MD_Military_SmartDG/MapServer/15

Organization: State of Maryland
Program Open Space CY19 Acquisitions general

Information about four of Maryland’s most active State operated land conservation programs: Program Open Space (POS) - Stateside, the Maryland Agricultural Land Preservation Foundation (MALPF), the Maryland Environmental Trust (MET), and the Rural Legacy Program. GreenPrint offers a way to improve how these programs work together and assists in steering POS acquistions to the Targeted Ecological Areas (TEAs), lands and watersheds of high ecological value that have been identified as conservation priorities by the Maryland Department of Natural Resources (DNR). Information provided also indicates if a parcel is in or out of the TEAs. The TEAs were developed in 2008 and then updated in 2011. The designation of a parcel’s location relative to the TEA is based upon the current TEA when the parcel was acquired.


Feature Link: 
https://mdgeodata.md.gov/imap/rest/services/Environment/MD_ProtectedLandsAcquisitions/FeatureServer/7

Organization: State of Maryland
Boundary

Maryland aboveground biomass map [30m] generated using Random Forests regression models. For more information visit https://daac.ornl.gov/CMS/guides/CMS_Maryland_AGB_Canopy.html. High Resolution Carbon Monitoring and Modeling: A NASA CMS Phase II Study Last Updated: 2011

Feature Link: 
https://mdgeodata.md.gov/imap/rest/services/Biota/MD_Biomass/MapServer/1

Organization: State of Maryland