AndreaBozzo/ceres-open-data-index huggingface dataset:
Budget - 2025 Budget Recommendations - Positions and Salaries

This dataset includes recommended positions and salaries for 2025 by title (without names) and salary. The dataset is excerpted from the 2025 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that  Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: https://www.chicago.gov/city/en/depts/obm/provdrs/budget.html.

Tags: 2025, budget
Organization: City of Chicago
Chicago Public Schools - School Admissions Information SY2425

School admissions information for all Chicago Public Schools for the academic year 2024-2025. Each row is a program, and a program can appear multiple times if it belongs to more than one program_group. This allows for a program to be associated with multiple groups.

* Data set is no longer being updated when data set for next year is created

Tags: 2024, 2025, cps, metrics, schools
Organization: City of Chicago
Community Connect: Bronx Information Portal

The Lehman College Bronx Information Portal is a map-based open data platform with a focus on all things Bronx. Developed by Lehman College/CUNY with Socrata, the portal brings together Bronx-related open data all in one place.  Data sets include education, health, population, environment and sustainability, among others. Join us to engage students, researchers and communities in connecting the Bronx to enrich teaching, learning and community service initiatives. For questions or comments, contact: ronald.bergmann@lehman.cuny.edu

Tags: big-apps, bigapps, bronx-information-portal, city-university-of-new-york, community-connect, cuny, lehman-college, nyc
Organization: City of New York
NYC 3D Model by Community District

The NYC 3D Model by Community District is a publicly available model consisting of every building in New York City present in 2014. The model is based on DOITT’s 2014 aerial survey, which provides roof structure details, including a high-level of detail for certain iconic buildings. The Department of City Planning imported and enhanced the DOITT files by converting the entire model into .3dm format, which is compatible with Rhinoceros 3D modeling software. DCP also divided the model into the City’s 59 Community Districts and enriched each CD with base layers, including lots, streets, parks, and rail lines.
The 3D model is capable of being imported into most common 3D-modeling software, including Sketchup and AutoCAD.

Tags: 3d, buildings, community-district, model, nyc, rhino
Organization: City of New York
NYC Street Tree Map – Stewardship Activity

Record of self-reported stewardship activity on DPR trees performed by members of the public. This dataset can be joined to the Forestry Tree Points dataset (https://data.cityofnewyork.us/Environment/Forestry-Tree-Points/hn5i-inap/data) by joining the TreeId from this dataset to OBJECTID from Forestry Tree Points.

Tags: trees-plan-nstm
Organization: City of New York
Motor Vehicle Collisions Summary Reports

This is a breakdown of every collision in NYC by location and injury. This data is collected because the NYC Council passed Local Law #11 in 2011. This data is manually run every month and reviewed by the TrafficStat Unit before being posted on the NYPD website.  Each record represents a collision in NYC by city, borough, precinct and cross street. This data can be used by the public to see how dangerous/safe intersections are in NYC. The information is presented in pdf and excel format to allow the casual user to just view the information in the easy to read pdf format or use the excel files to do a more in depth analysis.

Tags: collision, motor-vehicle-collision-data, nypd, police-department, traffic
Organization: City of New York
Capital Project Tracker

A listing of all capital projects managed by NYC Parks, and a timeline for their completion.

Supporting documentation can be found at the following link (http://www.nycgovparks.org/bigapps/desc/DPR_CapitalProjectTracker_001.txt).

For tabular dataset see https://data.cityofnewyork.us/Recreation/Capital-Projects-Tracker/4hcv-tc5r

Tags: capital-project-tracker, dpr, parks, recreation
Organization: City of New York
NYC Benefits Screening API

The NYC Benefits Screening Application Programming Interface (API) supports the development of new and existing public benefits-related web applications as well as enabling public benefits screening to happen against existing datasets of benefits seekers. 

Through this API, household data (i.e. information about a household’s income, expenses, housing situation, etc.) can be compared against screening criteria for 30+ Federal, State, and Municipal benefits and programs and a screening result will be produced, containing the potentially eligible benefit and program names and codes.

The screening results can be cross-referenced with NYC Opportunity’s <a href="https://data.cityofnewyork.us/Social-Services/Benefits-and-Programs-API/2j8u-wtju">Benefits and Program API</a> for more public benefits information including: key details, enrollment timelines, methods of enrollment, and ways individuals can receive assistance.

Tags: benefits-eligibility, eligibility, government-benefits, health, public-benefits, resources, services
Organization: City of New York
NYC Street Tree Map - Favorite Trees

Current number of times a given tree has been marked as a favorite by registered users of the NYC Street Tree Map (nyc.gov/parks/treemap).

This dataset can be joined to the Forestry Tree Points dataset (https://data.cityofnewyork.us/Environment/Forestry-Tree-Points/k5ta-2trh) by joining the TreeId to OBJECTID from Forestry Tree Points.

Live data feed: https://www.nycgovparks.org/tree-map-feeds/favorite-trees.json

Tags: dpr, trees-plan-nstm
Organization: City of New York
Primary Land Use Tax Lot Output - Map (MapPLUTO)

Extensive land use and geographic data at the tax lot level in GIS format (ESRI Shapefile).  Contains more than seventy fields derived from data maintained by city agencies, merged with tax lot features from the Department of Finance’s Digital Tax Map, clipped to the shoreline.

All previously released versions of this data are available at <a href="https://www1.nyc.gov/site/planning/data-maps/open-data/bytes-archive.page?sorts[year]=0">BYTES of the BIG APPLE- Archive</a>

Tags: cartography, city-planning, dcp, gis, land-use, mappluto, pluto, property, zoning
Organization: City of New York
Moving Violation Summons Statistics

This data is a breakdown of all the moving violations (tickets) issued in every precinct throughout the city.This data is collected because the City Council passed Local Law #11 in 2011 and required the NYPD to post it.This data is scheduled to run every month by ITB and is posted on the NYPD website.                                                                      Each record represents a moving violation issued to a motorist by summons type and what precinct it was issued in.                    This data can be used to see if poor driving in your resident precinct is being enforced.The limitations of the data is that it is just a stick count of violation without any street locations, time of day or day of the week.

Tags: moving-summonses, nypd, police-department, traffic
Organization: City of New York
Local Law 19 - Annual Report DHS Shelter (Historical)

DHS shelter buildings and types in NYC boroughs.

For Local Law 19 of 1999 Report - Monthly Placements, follow this <a href="https://data.cityofnewyork.us/Social-Services/Local-Law-19-of-1999-Report-Monthly-Placements/5284-7vfz">link</a>.
For Local Law 19 of 1999 - Quarterly Unsheltered Street Homeless Individuals, follow this <a href="https://data.cityofnewyork.us/Social-Services/Local-Law-19-of-1999-Report-Quarterly-Unsheltered-/7tu6-bcih">link</a>.

Tags: local-law-19
Organization: City of New York
1 foot Digital Elevation Model (DEM)

NYC 1foot Digital Elevation Model:
A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_DigitalElevationModel.md

Tags: 1ft, dem, dep
Organization: City of New York
1 foot Digital Elevation Model (DEM) Integer Raster

A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

Tags: 1ft, dem, dep
Organization: City of New York
Energy Incentive Program (EIP) - Multi-Year Report

The Oregon Department of Energy’s Energy Incentive Program issued tax credits to Oregon businesses, public agencies, and nonprofits that invested in energy conservation or transportation projects. The Energy Incentive Program tax credits ended (sunset) at the end of the 2017 tax year, which was dependent on the applicants’ tax year. 
While the program sunset in 2017 and is no longer accepting applications, reporting will continue until projects with multi-year tax credits/recertification’s are complete. This report covers July 1, 2015 through June 30, 2022. Withdrawn, Denied, Inactive, and Expired projects are excluded. 
Notes: *The report shows tax credits issued & may differ from tax credits allowed due to rounding. * Commercial conservation projects with project costs under $20,000 were administered under the Small Premium Projects (SPP) program. For SPP projects, ODOE used predetermined tax credit amounts based on a project's anticipated energy savings, up to a maximum credit of $7,000 per project. The tax credit could not exceed 35 percent of the certified costs.
* Commercial, agricultural, and industrial conservation projects with project costs greater than $20,000 were administered through a competitive process.
* Tax credits offered through the transportation program could go to fleets for projects that replaced or modified two or more vehicles to use alternative fuels, or to projects that installed or constructed a facility for mixing, storing, compressing, or dispensing fuels for alternative fuel vehicles, including electric charging, compressed natural gas, and propane fueling stations. 
For more information visit the Oregon Department of Energy website.  
https://www.oregon.gov/energy/Incentives/Pages/default.aspx

Tags: department-of-energy, eip, energy, energy-incentive, sunset, tax-credits
Organization: State of Oregon
Childhood Lead Poisoning: 10-Year Prevalence in Top 5 Cities

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

This dataset includes the 10-year prevalence in Connecticut's top five cities.

Tags: childhood-lead-poisoning, environmental-justice, health-equity
Organization: State of Connecticut
Childhood Lead Poisoning

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

This dataset includes various metrics about childhood lead screening in Connecticut, including: 

Screening numbers and rates by birth cohort
Demographic characteristics (age, gender, race/ethnicity) 
EBLL
Hazard by source
Paint vs non-paint hazard
Relative Risk -% Incidence

Tags: child-development, childhood-lead-poisoning, early-childhood, environmental, environmental-justice, health-equity, lead-poisoning, pediatric, toxic-hazards
Organization: State of Connecticut
Childhood Lead Poisoning: Incidence by Race/Ethnicity

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk. 

This dataset shows the incidence of childhood lead poisoning by race/ethnicity. 

Incidence = Number of new cases
Incidence % = Number of new cases / Population screened with no history of elevated level

Tags: childhood-lead-poisoning, environmental-justice, health-equity
Organization: State of Connecticut
Childhood Lead Poisoning: Prevalence by Year

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

This dataset shows the prevalence trends of childhood lead poisoning.

Tags: childhood-lead-poisoning, current-cases, existing-cases
Organization: State of Connecticut
Childhood Lead Poisoning: Relative Risk by Race/Ethnicity

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

This dataset shows the relative risk of childhood lead poisoning by race/ethnicity.

Tags: childhood-lead-poisoning, environmental-justice, health-equity
Organization: State of Connecticut
Childhood Lead Poisoning: Prevalence by Town and Blood Lead Level Category

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

This dataset includes data on the prevalence by town and blood lead level category.

Tags: childhood-lead-poisoning
Organization: State of Connecticut
School Board Districts

Orleans Parish School Board Districts as adopted by OPSB on February 28, 2012.  The Board adopted the Alternative “A” Amended Plan with two changes recommended from the floor. The first change being that Precint 6-8 be moved from Dstrict 3 to District 7. The second change being that Precinct 15-13 be moved from District 7 to District 4.

Organization: City of New Orleans
Loudoun Imagery 2022

<div style='text-align:Left;'><div><p><span>Loudoun County annually obtains leaf-off, aerial imagery in the spring. Since 2004, the County has utilized this imagery to support the development of an annual digital orthophoto base. In 2022, the imagery was captured with a Vexcel Ultracam Eagle digital camera, in 4-band (R,G,B, and NIR) format. These files contain 1-foot ground-resolution, 8-bit, 4-band orthorectified aerial image map products in GeoTIFF version 6.0 file format. GeoTIFF files are uncompressed raster images complete with TFW coordinate information. The aerial imagery project encompasses the entire land area of the County of Loudoun, VA. Images were flown during leaf-off conditions and cover 5000' by 5000' and are tiled according to the VBMP 200-scale gridding schema (Virginia Geographic Information Network).</span></p><p><span>&quot;February 2022 Photography flown by the Sanborn Map Company, Colorado Springs, CO.&quot; &quot;Digital Orthophotography compiled by Sanborn Map Company, Colorado Springs, CO&quot;<br /></span></p></div></div>

Tags: 2022, aerial, base-layers, imagery
Organization: Loudoun County, Virginia
AFSC/RACE/FBEP/Copeman: Effect of temperature and tissue type on fatty acid signatures of two species of North Pacific juvenile gadids: A laboratory feeding study

This dataset is from a laboratory study that investigated the effect of temperature and tissue type on fatty acid signatures of Pacific cod and walleye pollock.

Tags: alaska fisheries science center, biomarker, cod, doc/noaa/nmfs/afsc, fatty acid, fisheries behavioral ecology program, juvenile, national marine fisheries service, noaa, pollock, temperature, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AFSC/RACE/FBEP/Ryer: Growth and distributional correlates of behavior in three co-occurring juvenile flatfishes

This dataset is from laboratory experiments that explored anti-predator behavior and intrinsic growth in three co-occurring juvenile flatfish species (English sole Parophrys vetulus, Pacific halibut Hippoglossus stenolepis and northern rock sole Lepidopsetta polyxystra), and field surveys of juveniles of these three species in a nursery embayment at Kodiak Island.

Tags: alaska fisheries science center, anti-predator behavior, co-evolved traits, doc/noaa/nmfs/afsc, fisheries behavioral ecology program, flatfishes, foraging, national marine fisheries service, noaa, temperature-dependent growth, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AFSC/RACE/FBEP/Hurst: Distributional patterns of 0-group Pacific cod (Gadus macrocephalus) in the eastern Bering Sea under variable recruitment and thermal conditions

This dataset is from a study that analyzed the late summer distribution of juvenile Pacific cod in the eastern Bering Sea for 6 cohorts (2004-2009), based on catches in the Bering-Aleutian Salmon International Survey (BASIS).

Tags: alaska fisheries science center, bering sea, density-dependence, distribution, doc/noaa/nmfs/afsc, fisheries behavioral ecology program, habitat, national marine fisheries service, noaa, pacific cod, summer, temperature, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - Eastern Tropical Indian Ocean 45,000 Year d18O and SST Reconstructions

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoceanography. The data include parameters of climate reconstructions|paleoceanography with a geographic location of Indian Ocean. The time period coverage is from 45330 to 60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: climate indicators, climate reconstructions|paleoceanography, doc/noaa/nesdis/ncei, earth science, indian ocean, latitude -.7833, latitude 1.15, latitude 3.5167, longitude 96.3167, longitude 98.0667, longitude 99.9, material: delta 18o|magnesium/calcium|sea water, material: globigerinoides ruber sensu stricto, material: magnesium/calcium, material: null, national centers for environmental information, nesdis, noaa, ocean, ocean/lake records, oxygen isotopes, paleocean, paleoceanography, paleoclimate, paleoclimate indicators, reconstruction, sea surface temperature reconstruction, so189-119kl, so189-144kl, so189-39kl, u.s. department of commerce, what: age, what: delta 18o, what: sea surface temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - Lake E5, Northern Alaska 32,000 Year Leaf Wax d2H and Temperature Reconstruction

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Lake. The data include parameters of paleolimnology with a geographic location of Alaska, United States Of America. The time period coverage is from 32138 to -68 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: age control, alaska, climate indicators, climate reconstructions|paleolimnology, continent, doc/noaa/nesdis/ncei, earth science, geochemistry, hydrogen isotopes, instrumental, lake e5, latitude 68.642, longitude -149.458, magnetic susceptibility, material: c28 n-alkanoic acid, material: delta 2h, material: dry sediment, material: null, material: precipitation, material: sediment, national centers for environmental information, nesdis, noaa, north america, ocean/lake records, paleoclimate, paleoclimate indicators, paleolimnology, reconstruction, u.s. department of commerce, united states of america, what: age, what: air temperature, what: delta 18o, what: delta 2h, what: depth, what: depth at sample end, what: depth at sample start, what: magnetic susceptibility, what: organic carbon, what: sample identification
Organization: National Oceanic and Atmospheric Administration, Department of Commerce