This dataset represents amenities activated as a part of Cool It! NYC, a Citywide plan to increase the amount of cooling features available to the public during heat emergencies, particularly in neighborhoods that face the dangers of high heat. This is part of the Cool It! NYC 2020 Data Collection, which includes the following amenities:

Drinking Fountains: Indicates whether a drinking fountain is activated, not yet activated, broken, or under construction.

Spray Showers: Indicates whether a spray shower installed before July 2020 is activated, not yet activated, broken, or under construction. At this time, spray showers are mapped to the middle of parks.

Cooling Sites: To measure neighborhoods that are the most at risk during extreme heat, NYC Health and Columbia University developed the New York City Heat Vulnerability Index, or HVI. Parks used this data to direct new cooling elements to neighborhoods with HVIs of 4 and 5.

Data Dictionary: https://docs.google.com/spreadsheets/d/1GpXHX9p0e520LcAf3gstOKTQm64wxkdDUiACjhMwd9Q/edit?usp=sharing

Supervisor Inspections are conducted by Park Supervisors in order to assess the conditions and identify issues at parks in their districts. Park Supervisors follow the standards set out in the Parks Inspection Program (PIP) Inspection Manual but are not trained in the protocol to the same degree as PIP inspectors, and supervisor inspections are not subject to the thorough review that PIP inspections receive.

During the course of an inspection, Park Supervisors separately rate each feature within a park. This table contains the features inspected, with ratings and notes for each feature.

Overall results and inspection-level records are contained in the Parks Supervisor Inspections - Inspection Results dataset; each row in this table represents one inspection of an individual property (park, playground, or zone).

Specific feature-level records are contained in the Parks Supervisor Inspections - Feature Findings dataset; each row in this table represents the specific feature's details/rating from each inspection.

Data Dictionary: https://docs.google.com/spreadsheets/d/17nwvIsPdAInf-DzGAcwq8hu6SXIzQYabUDktw3BwwLY/edit#gid=1553660070

Supervisor Inspections are conducted by Park Supervisors in order to assess the conditions and identify issues at parks in their districts. Park Supervisors follow the standards set out in the Parks Inspection Program (PIP) Inspection Manual but are not trained in the protocol to the same degree as PIP inspectors, and supervisor inspections are not subject to the thorough review that PIP inspections receive.

During the course of an inspection, Park Supervisors separately rate each feature within a park. This table contains the features inspected, with ratings and notes for each feature.

Overall results and inspection-level records are contained in the Parks Supervisor Inspections - Inspection Results dataset; each row in this table represents one inspection of an individual property (park, playground, or zone).

Specific feature-level records are contained in the Parks Supervisor Inspections - Feature Findings dataset; each row in this table represents the specific feature's details/rating from each inspection.

Data Dictionary: https://docs.google.com/spreadsheets/d/17nwvIsPdAInf-DzGAcwq8hu6SXIzQYabUDktw3BwwLY/edit#gid=1553660070

The polygons in this dataset show mapped forest restoration planting polygons. These polygons depict areas where invasive plants were removed and native trees and/or shrubs were planted under the purview of NYC Parks? Natural Resources Group as part of the MillionTreesNYC initiative on property under the jurisdiction of NYC Parks. Spring plantings occur between January 1 and June 30, while Fall plantings occur between July 1 and December 31 of any year. Older restoration polygons were mapped via heads-up digitizing while the location of newer polygons have been collected using a high-accuracy GPS device.

This dataset represents amenities activated as a part of Cool It! NYC, a Citywide plan to increase the amount of cooling features available to the public during heat emergencies, particularly in neighborhoods that face the dangers of high heat. This is part of the Cool It! NYC 2020 Data Collection, which includes the following amenities:

Drinking Fountains: Indicates whether a drinking fountain is activated, not yet activated, broken, or under construction.

Spray Showers: Indicates whether a spray shower installed before July 2020 is activated, not yet activated, broken, or under construction. At this time, spray showers are mapped to the middle of parks.

Cooling Sites: To measure neighborhoods that are the most at risk during extreme heat, NYC Health and Columbia University developed the New York City Heat Vulnerability Index, or HVI. Parks used this data to direct new cooling elements to neighborhoods with HVIs of 4 and 5.

Data Dictionary: https://docs.google.com/spreadsheets/d/1GpXHX9p0e520LcAf3gstOKTQm64wxkdDUiACjhMwd9Q/edit?usp=sharing

This dataset represents amenities activated as a part of Cool It! NYC, a Citywide plan to increase the amount of cooling features available to the public during heat emergencies, particularly in neighborhoods that face the dangers of high heat. This is part of the Cool It! NYC 2020 Data Collection, which includes the following amenities:

Drinking Fountains: Indicates whether a drinking fountain is activated, not yet activated, broken, or under construction.

Spray Showers: Indicates whether a spray shower installed before July 2020 is activated, not yet activated, broken, or under construction. At this time, spray showers are mapped to the middle of parks.

Cooling Sites: To measure neighborhoods that are the most at risk during extreme heat, NYC Health and Columbia University developed the New York City Heat Vulnerability Index, or HVI. Parks used this data to direct new cooling elements to neighborhoods with HVIs of 4 and 5.

Data Dictionary: https://docs.google.com/spreadsheets/d/1GpXHX9p0e520LcAf3gstOKTQm64wxkdDUiACjhMwd9Q/edit?usp=sharing

This dataset corresponds to a current availability of plant species in various containers being offered to clients of the Greenbelt Native Plant Center. Each line of data represents one instance of a particular plant species in a specific container size within the dataset. Data is generated using groware software application to export to an excel document. Data is updated ad hoc, depending on production and distribution needs (sometimes multiple times daily, other times 1xweekly or bi-weekly, for example). Data has not been geocoded, anonymized, etc to the best of my knowledge. The dataset changes to include new species that are grown and were not prevously distributed by GNPC. The dataset also has entries removed over time, as species are no longer grown. All fields are required.

Data dictionary: https://docs.google.com/spreadsheets/d/1TtrIKLJUStYKbVe6mdtRfqpKy1tNtXKJsiU1qmXWgF8/edit#gid=1281948611

The polygons in this dataset show mapped forest restoration planting polygons. These polygons depict areas where invasive plants were removed and native trees and/or shrubs were planted under the purview of NYC Parks? Natural Resources Group as part of the MillionTreesNYC initiative on property under the jurisdiction of NYC Parks. Spring plantings occur between January 1 and June 30, while Fall plantings occur between July 1 and December 31 of any year. Older restoration polygons were mapped via heads-up digitizing while the location of newer polygons have been collected using a high-accuracy GPS device.

A public computing center (“PCC”) is a facility offering computers with internet access. It may also offer other devices, services, and digital literacy and digital skills programming, for example. A PCC may be funded in whole, or in part, with public dollars in order to provide a public service (i.e., access to digital inclusion resources). Some PCCs are open to the general public while others may have membership criteria such as age. As an inventory, and as feasible, OTI’s purpose was to collect, count, and map where and how the City supports this kind of public access to the internet.

IMPORTANT NOTICE: Searches using the search bar at the top of the dataset are currently not working and producing an error message. To search this data set, use the blue “Filter” function until this issue is resolved.

The OATH Hearings Division Case Status dataset contains information about alleged public safety and quality of life violations that are filed and adjudicated through the City’s administrative law court, the NYC Office of Administrative Trials and Hearings (OATH) and provides information about the infraction charged, decision outcome, payments, amounts and fees relating to the case. The summonses listed in this dataset are issued and filed at the OATH Hearings Division by City enforcement agencies.

List of public facilities offering computers with internet access, according to administrative data collected by the Mayor's Office of the Chief Technology Officer.

The OATH Trials Division dataset contains information about a diverse range of complex administrative law matters that are filed by city agencies, boards, and commissions and adjudicated by OATH Administrative Law Judges (ALJs) at the New York City Office of Administrative Trials and Hearings, Trials Division.

Such matters include civil service disciplinary and disability cases, city contract disputes, license revocation proceedings, prevailing wage proceedings, discrimination cases, loft law proceedings, Krimstock cases, where car owners seek return of vehicle seized during an arrest, campaign finance law and conflicts of interest law cases, alleged violations of consumer protection laws, and fair work week and paid sick leave laws.

The Trials Division dataset includes those closed cases where litigants appear before the Trials Division for trial and where an OATH Administrative Law Judge has issued a decision. By law or by agency rule, the OATH ALJ issues final decisions in Krimstock cases, contract disputes and most cases brought by the Department of Consumer Affairs. In all other cases, the OATH ALJ issues a recommended decision which is subject to final action and determination by the filing agency's Agency Head. If an appeal is filed, the dataset provides the date of the appeal action that occurs after the final determination.