The DEP Application and Permit data will contain information about the different types of applications approved and permits issued on a regular basis. For the latest information, please refer to the Water and Sewer Permits dataset.

Routine wastewater treatment plant monitoring results from 1987-Present

Routine stream monitoring results from 1987-Present.

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

The DEP Application and Permit data will contain information about the different types of applications approved and permits issued on a regular basis.

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

This dataset provides the location of spray showers under the jurisdiction of NYC Parks. For more information about spray showers, visit https://www.nycgovparks.org/facilities/sprayshowers

Data Dictionary: https://docs.google.com/spreadsheets/d/1q-MxMTrsE46Vdy-vea5lxCok8xD3Nd4zIvEI2KYgm08/edit?usp=sharing

Site descriptions for all hydrological, keypoint, limnological, and wastewater treatment plant samples collected from 1984-present

The data tables provides a monthly roll up of key parameters at Wastewater treatment plants including SPEDES permit requirements

Routine aqueduct, elevation tap, and basin elevation monitoring results from 1987-Present

This dataset captures all water features within NYC Parks. It combines the State’s hydrography layer with known water fountains. Made for cartographic purposes, the attribute data isn’t as maintained as the geometry.

User guide: https://drive.google.com/open?id=1A7KhVk3LW_IKPHYfYUNAHSPgsVAJb1Chk3ZICtVwDsI
Data Dictionary: https://drive.google.com/open?id=124PsGwqsgf1cW2eWnEEjdO3cojoRtloAh3r37eTAXAM

Routine reservoir monitoring results from 1984-Present

Qualifiers, notes, and additional information regarding the sample data provided or omitted.

Qualifiers, notes, and additional information regarding the sample data provided or omitted.

Data collected to fulfill the requirements of the SWTR (Surface Water Treatment Rule) and FAD (Filtration Avoidance Determination). Data is collected via grab sampling, analysis, LIMS data capture and reporting. Each record represents either a four hour turbidity result, a 24 hour average turbidty result, or a daily fecal coliform result from DEL18DT (Delaware Shaft 18 downtake). Data is used to monitor compliance with the requirements above. There are no limitations for the data.

Qualifiers, notes, and additional information regarding the sample data provided or omitted.

Harbor water sampling information

Each record is either an individual drinking fountain or multiple drinking fountains that are attached to each other. NYC Parks created the dataset using collector for arcgis. All outdoor drinking fountains in parks were collected and a rigorous QA/QC process followed. In addition to the GPS coordinates the dataset includes descriptions of its physical environment and attributes about the drinking fountain itself.

User guide: https://drive.google.com/open?id=1whu6gzwBbinNuoBx6FLpaaGOy4cdecOrjRdJEsHwJn8

Data Dictionary: https://drive.google.com/open?id=1s7VSUHDJsGcHNghzllmdFgdwEMX2Zps_ygqSMMzfVgo

Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several different sets of geographic base layers. The metrics presented in this table are based on 2010 high resolution land cover dataset.

The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how much tree canopy currently exists (termed Existing TC) and amount of land where is it biophysically feasible to establish tree canopy on (termed Possible TC).

Existing TC is determined by extracting all features classified as tree canopy from a high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include building polygons and road polygons.

Possible TC is queried out from this overlay and consists of all land that was not existing canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis for beginning to form answers to these questions.

TC metrics are presented in the attribute table as both absolute area (in map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677 and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677 (in map units) and 21.8% of that feature is tree canopy. This assessment was completed by the University of Vermont's Spatial Analysis Laboratory with funding from National Urban and Community Forestry Advisory Council (NUCFAC) and the National Science Fundation (NSF) and in cooperation with the USDA Forest Service's Northern Research Station.

The TC Assessment protocols were developed by the USDA Forest Service's Northern Research Station and the University of Vermont's Spatial Analysis Laboratory in collaboration with the Maryland Department of Natural Resources. TC assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing TC goals.

Qualifiers, notes, and additional information regarding the sample data provided or omitted.