The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public. This table contains squirrel data for each of the 3,023 sightings, including location coordinates, age, primary and secondary fur color, elevation, activities, communications, and interactions between squirrels and with humans.

Street tree data from the TreesCount! 2015 Street Tree Census, conducted by volunteers and staff organized by NYC Parks & Recreation and partner organizations. Tree data collected includes tree species, diameter and perception of health. Accompanying blockface data is available indicating status of data collection and data release citywide.

The 2015 tree census was the third decadal street tree census and largest citizen science initiative in NYC Parks’ history. Data collection ran from May 2015 to October 2016 and the results of the census show that there are 666,134 trees planted along NYC's streets. The data collected as part of the census represents a snapshot in time of trees under NYC Parks' jurisdiction.

The census data formed the basis of our operational database, the Forestry Management System (ForMS) which is used daily by our foresters and other staff for inventory and asset management: https://data.cityofnewyork.us/browse?sortBy=most_accessed&utf8=%E2%9C%93&Data-Collection_Data-Collection=Forestry+Management+System+%28ForMS%29

To learn more about the data collected and managed in ForMS, please refer to this user guide:
https://docs.google.com/document/d/1PVPWFi-WExkG3rvnagQDoBbqfsGzxCKNmR6n678nUeU/edit. For information on the city's current tree population, use the ForMS datasets.

Dataset contains information on New York City air quality surveillance data.

Air pollution is one of the most important environmental threats to urban populations and while all people are exposed, pollutant emissions, levels of exposure, and population vulnerability vary across neighborhoods. Exposures to common air pollutants have been linked to respiratory and cardiovascular diseases, cancers, and premature deaths. These indicators provide a perspective across time and NYC geographies to better characterize air quality and health in NYC. Data can also be explored online at the Environment and Health Data Portal: http://nyc.gov/health/environmentdata.

NYCDEP Citywide Hydrants

A brief history of water consumption in the New York City Water Supply System (Based on New York City Census population)

Areas of New York City that were flooded as a result of Hurricane Sandy.

The daily capacity and percent of capacity filled for each of the City's reservoirs.

The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public. This table contains squirrel data for each of the 3,023 sightings, including location coordinates, age, primary and secondary fur color, elevation, activities, communications, and interactions between squirrels and with humans.

Locations of public recycling bins throughout NYC. For information on what to recycle in NYC, see: https://www1.nyc.gov/assets/dsny/site/services/recycling.

Clean Air Tracking System (CATS) is online application with end-to-end process where NYC Residents can submit for New Boiler Registration, Boiler Registration Renewal, Affidavit, Amendment, Boiler Work Permits, Inspection requests, Emergency Engine, Generator Registration, Gas Stations, Industrial Work Permits. For additional context, please go to this link: https://a826-web01.nyc.gov/DEP.BoilerInformationExt/ as the external source to this dataset.

For each Community District, its Recycling Diversion rate (percentage of total municipal solid waste collected by the Department of Sanitation that is disposed of by recycling) and Capture Rate (percentage of total Paper or Metal/Glass/Plastic in the waste stream that is disposed of by recycling). For more information about DSNY's recycling programs, see: https://www1.nyc.gov/assets/dsny/site/services/recycling. Capture rate is the amount of materials set out for residential recycling collection as a percentage of designated recyclable materials in both recycling and refuse streams. This ratio measures how much of the targeted materials are actually being recycled, which is a measure of how successfully such materials are recycled. Please note that since 2013, DSNY no longer uses capture rate information. For information on what is in NYC's waste, see: http://www1.nyc.gov/assets/dsny/site/resources/reports/waste-characterization.

Citywide raster files of annual average predicted surface for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and nitric oxide (NO); summer average for ozone (O3) and winter average for sulfure dioxide (SO2).

Description: Annual average predicted surface for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and nitric oxide (NO); summer average for ozone (O3) and winter average for sulfure dioxide (SO2). File type is ESRI grid raster files at 300 m resolution, NAD83 New York Long Island State Plane FIPS, feet projection. Prediction surface generated from Land Use Regression modeling of December 2008- December 2019 (years 1-11) New York Community Air Survey monitoring data.As these are estimated annual average levels produced by a statistical model, they are not comparable to short term localized monitoring or monitoring done for regulatory purposes. For description of NYCCAS design and Land Use Regression Modeling process see: nyc-ehs.net/nyccas

High resolution land cover data set for New York City. This is the 3ft version of the high-resolution land cover dataset for New York City. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 3 square feet. The primary sources used to derive this land cover layer were the 2010 LiDAR and the 2008 4-band orthoimagery. Ancillary data sources included GIS data (city boundary, building footprints, water, parking lots, roads, railroads, railroad structures, ballfields) provided by New York City (all ancillary datasets except railroads); UVM Spatial Analysis Laboratory manually created railroad polygons from manual interpretation of 2008 4-band orthoimagery. The tree canopy class was considered current as of 2010; the remaining land-cover classes were considered current as of 2008. Object-Based Image Analysis (OBIA) techniques were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. More than 35,000 corrections were made to the classification. Overall accuracy was 96%. This dataset was developed as part of the Urban Tree Canopy (UTC) Assessment for New York City. As such, it represents a 'top down' mapping perspective in which tree canopy over hanging other features is assigned to the tree canopy class. At the time of its creation this dataset represents the most detailed and accurate land cover dataset for the area. This project was funded by National Urban and Community Forestry Advisory Council (NUCFAC) and the National Science Fundation (NSF), although it is not specifically endorsed by either agency. The methods used were developed by the University of Vermont Spatial Analysis Laboratory, in collaboration with the New York City Urban Field Station, with funding from the USDA Forest Service.

Harbor water sampling information

Listing of NYC Greenthumb community gardens.

*For current GreenThumb info please visit the GreenThumb Garden Data Collection here: https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=GreenThumb+Gardens&q=greenthumb *

Energy audit data for privately owned buildings larger than 50,000 ft2, submitted by property owners in compliance with Local Law 87 of 2009. This data includes equipment inventory and recommended Energy Conservation Measures (ECMs) for base building systems: the building envelope, HVAC systems, elevators and escalators, domestic hot water supply, and electrical and lighting systems. This data does not include equipment owned by tenants or used for industrial processes within the building. This data represents energy audits collected between 2012 and 2018 using the City’s original, MS Excel-based, Energy Efficiency Report tool.

This dataset contains a list of City-owned spaces that are available and potentially suitable for community urban agricultural use, including community gardens and urban farms. This dataset is created and maintained as per Local Law 46 of 2018. While this list is updated periodically, anyone seeking to use one of the listed sites for community urban agriculture should contact the agency that owns the site, and NYC Parks GreenThumb, to confirm the site’s current availability and suitability.

Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

The data tables summarize the turbidity values, coliform, fluoride and chlorine found at sides in distribution each month.

 ACP7 form is an asbestos project notification. Any time asbestos abatement is perform on quantities greater than a minor project amount, the applicant has to file this form with DEP Asbestos Control Program (ACP). All asbestos documents are filed through the Asbestos Reporting and Tracking System (ARTS) E-file system. This system is web based and entirely paperless. All information on the ACP7 is essential to meet the requirements setforth in the asbestos rules and regulations Title15, Chapter 1 (RCNY). ACP enforcement staff utilizes this form for inspection of asbestos abatement activities.

2010 Natural Gas consumption in therms and GJ, by ZIP code, building type, and utility company.

This data is collected annually via EPA Portfolio Manager.

The data collection requires building owners to measure their energy and water consumption and compare it against that of similar buildings in the city and country.

The data is useful for policy analysts as it provides transparency into energy and water consumption for the city's largest buildings.

Please visit https://www1.nyc.gov/site/buildings/codes/benchmarking.page for additional information.

This is the 100-Year Floodplain for the 2050s based on FEMA's Preliminary Work Map data and the New York Panel on Climate Change's 90th Percentile Projects for Sea-Level Rise (31 inches). Please see the Disclaimer PDF for more information. Data Provided by the Mayor's Office of Long-Term Planning and Sustainability (OLTPS) on behalf of CUNY Institute for Sustainable Cities (CISC) and the New York Panel on Climate Change (NPCC).

A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment and therefore represents a ''top-down" mapping perspective in which tree canopy overhanging features is assigned to the tree canopy class. The eight land cover classes mapped were: (1) Tree Canopy, (2) Grass\Shrubs, (3) Bare Soil, (4) Water, (5) Buildings, (6) Roads, (7) Other Impervious, and (8) Railroads. The primary sources used to derive this land cover layer were 2017 LiDAR (1-ft post spacing) and 2016 4-band orthoimagery (0.5-ft resolution). Object based image analysis was used to automate land-cover features using LiDAR point clouds and derivatives, orthoimagery, and vector GIS datasets --
City Boundary (2017, NYC DoITT)
Buildings (2017, NYC DoITT)
Hydrography (2014, NYC DoITT)
LiDAR Hydro Breaklines (2017, NYC DoITT)
Transportation Structures (2014, NYC DoITT)
Roadbed (2014, NYC DoITT)
Road Centerlines (2014, NYC DoITT)
Railroads (2014, NYC DoITT)
Green Roofs (date unknown, NYC Parks)
Parking Lots (2014, NYC DoITT)
Parks (2016, NYC Parks)
Sidewalks (2014, NYC DoITT)
Synthetic Turf (2018, NYC Parks)
Wetlands (2014, NYC Parks)
Shoreline (2014, NYC DoITT)
Plazas (2014, NYC DoITT)
Utility Poles (2014, ConEdison via NYCEM)
Athletic Facilities (2017, NYC Parks)

For the purposes of classification, only vegetation > 8 ft were classed as Tree Canopy. Vegetation below 8 ft was classed as Grass/Shrub.

To learn more about this dataset, visit the interactive "Understanding the 2017 New York City LiDAR Capture" Story Map -- https://maps.nyc.gov/lidar/2017/
Please see the following link for additional documentation on this dataset -- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_LandCover.md

This dataset contains information about requests for animal assistance, relocation, and/or rescue completed by the Urban Park Rangers