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 BYTES of the BIG APPLE- Archive

This dataset represents a compilation of data from various government agencies throughout the City of New York. The underlying geography is derived from the Tax Lot Polygon feature class that is part of the Department of Finance's Digital Tax Map (DTM). The tax lots have been clipped to the shoreline, as defined by NYCMap planimetric features. The attribute information is from the Department of City Planning's PLUTO data. The attribute data pertains to tax lot and building characteristics and geographic, political and administrative information for each tax lot in New York City.The Tax Lot Polygon feature class and PLUTO are derived from different sources. As a result, some PLUTO records do not have a corresponding tax lot in the Tax Lot polygon feature class at the time of release. These records are included in a separate non-geographic PLUTO Only table. There are a number of reasons why there can be a tax lot in PLUTO that does not match the DTM; the most common reason is that the various source files are maintained by different departments and divisions with varying update cycles and criteria for adding and removing records. The attribute definitions for the PLUTO Only table are the same as those for MapPLUTO. DCP Mapping Lots includes some features that are not on the tax maps. They have been added by DCP for cartographic purposes. They include street center 'malls', traffic islands and some built streets through parks. These features have very few associated attributes.To report problems, please open a GitHub issue or email DCPOpendata@planning.nyc.gov.DATES OF INPUT DATASETS:Department of City Planning - E-Designations: 2/5/2021Department of City Planning - Zoning Map Index: 7/31/2019Department of City Planning - NYC City Owned and Leased Properties: 11/15/2020Department of City Planning - NYC GIS Zoning Features: 2/5/2021Department of City Planning - Polictical and Administrative Districts: 11/17/2020Department of City Planning - Geosupport version 20D: 11/17/2020Department of Finance - Digital Tax Map: 1/30/2021Department of Finance - Mass Appraisal System (CAMA): 2/10/2021Department of Finance - Property Tax System (PTS): 2/6/2021Landmarks Preservation Commission - Historic Districts: 2/4/2021Landmarks Preservation Commission - Individual Landmarks: 2/4/2021Department of Information Telecommunications & Technology - Building Footprints: 2/10/2021Department of Parks and Recreation - GreenThumb Garden Info: 1/4/2021

The New Horizons Pluto Encounter Surface Composition data set contains map data from the Multispectral Visible Imaging Camera instrument and the Linear Etalon Imaging Spectral Array instrument on New Horizons during the Pluto encounter mission phase. Color, albedo, and absorption map data products are included for the CH4, N2, CO, and H2O species. This is VERSION 1.0 of this data set.

Extensive land use and geographic data at the tax lot level in comma-separated values (CSV) file format. The PLUTO files contain more than seventy fields derived from data maintained by city agencies. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

GIS shapefile of extensive land use and geographic data at the tax lot level. The PLUTO files contain more than seventy fields derived from data maintained by city agencies. Essentially, displays a plethora of plot data including size, tax lot, and other publicly available information. MapPLUTO merges PLUTO tax lot data with tax lot features from the Department of Finance’s Digital Tax Map (DTM), clipped to the shoreline. It contains extensive land use and geographic data at the tax lot level in ESRI shape file format and dbase table format.

This data set contains global color maps, image cubes, and absorption band maps created from calibrated data taken during the PLUTO mission phase by the Linear Etalon Imaging Spectral Array (LEISA) instrument and the Multispectral Visible Imaging Camera (MVIC) instrument on the New Horizons spacecraft. Image cubes are provided per instrument and target body, covering the surfaces of Pluto, Charon, Nix, Hydra, and Kerberos. Color maps and absorption band maps for N2, CO, CH4, and H2O are provided for both Pluto and Charon.

Publication Date: April 2025. Updated annually, or as needed. The data can be downloaded here: https://gis.ny.gov/parcels#data-download. This feature service only contains parcel data for NYS State-owned tax parcels. 2024 Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2024 Assessment Roll tabular data NYS ITS Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS).Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel. Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page. The State-owned tax parcel polygons in this file are the result of a best effort selection based on the Primary Owner and Additional Owner fields in the NYS Statewide Tax Parcels file, Geospatial Services data, State agency data, and online research. These same data and information are also the basis for a best effort assignment of a NYS agency name (listed in the NYS Name field) to most tax parcel polygons where the Owner Type field value is State. The NYS Name Source field consists of a code that describes how the State-owned designation and agency name were determined, if this was verified, and the means of verification, if applicable.This map service is available to the public.The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

Summary:

The files contained herein represent green roof footprints in NYC visible in 2016 high-resolution orthoimagery of NYC (described at https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md). Previously documented green roofs were aggregated in 2016 from multiple data sources including from NYC Department of Parks and Recreation and the NYC Department of Environmental Protection, greenroofs.com, and greenhomenyc.org. Footprints of the green roof surfaces were manually digitized based on the 2016 imagery, and a sample of other roof types were digitized to create a set of training data for classification of the imagery. A Mahalanobis distance classifier was employed in Google Earth Engine, and results were manually corrected, removing non-green roofs that were classified and adjusting shape/outlines of the classified green roofs to remove significant errors based on visual inspection with imagery across multiple time points. Ultimately, these initial data represent an estimate of where green roofs existed as of the imagery used, in 2016.

These data are associated with an existing GitHub Repository, https://github.com/tnc-ny-science/NYC_GreenRoofMapping, and as needed and appropriate pending future work, versioned updates will be released here.

Terms of Use:

The Nature Conservancy and co-authors of this work shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy and co-authors. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy and co-authors. All parties receiving these data must be informed of these restrictions. Authors of this work shall be acknowledged as data contributors to any reports or other products derived from these data.

Associated Files:

As of this release, the specific files included here are:

GreenRoofData2016_20180917.geojson is in the human-readable, GeoJSON format, in geographic coordinates (Lat/Long, WGS84; EPSG 4263).

GreenRoofData2016_20180917.gpkg is in the GeoPackage format, which is an Open Standard readable by most GIS software including Esri products (tested on ArcMap 10.3.1 and multiple versions of QGIS). This dataset is in the New York State Plan Coordinate System (units in feet) for the Long Island Zone, North American Datum 1983, EPSG 2263.

GreenRoofData2016_20180917_Shapefile.zip is a zipped folder containing a Shapefile and associated files. Please note that some field names were truncated due to limitations of Shapefiles, but columns are in the same order as for other files and in the same order as listed below. This dataset is in the New York State Plan Coordinate System (units in feet) for the Long Island Zone, North American Datum 1983, EPSG 2263.

GreenRoofData2016_20180917.csv is a comma-separated values file (CSV) with coordinates for centroids for the green roofs stored in the table itself. This allows for easily opening the data in a tool like spreadsheet software (e.g., Microsoft Excel) or a text editor.

Column Information for the datasets:

Some, but not all fields were joined to the green roof footprint data based on building footprint and tax lot data; those datasets are embedded as hyperlinks below.

fid - Unique identifier

bin - NYC Building ID Number based on overlap between green roof areas and a building footprint dataset for NYC from August, 2017. (Newer building footprint datasets do not have linkages to the tax lot identifier (bbl), thus this older dataset was used). The most current building footprint dataset should be available at: https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh. Associated metadata for fields from that dataset are available at https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.md.

bbl - Boro Block and Lot number as a single string. This field is a tax lot identifier for NYC, which can be tied to the Digital Tax Map (http://gis.nyc.gov/taxmap/map.htm) and PLUTO/MapPLUTO (https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page). Metadata for fields pulled from PLUTO/MapPLUTO can be found in the PLUTO Data Dictionary found on the aforementioned page. All joins to this bbl were based on MapPLUTO version 18v1.

gr_area - Total area of the footprint of the green roof as per this data layer, in square feet, calculated using the projected coordinate system (EPSG 2263).

bldg_area - Total area of the footprint of the associated building, in square feet, calculated using the projected coordinate system (EPSG 2263).

prop_gr - Proportion of the building covered by green roof according to this layer (gr_area/bldg_area).

cnstrct_yr - Year the building was constructed, pulled from the Building Footprint data.

doitt_id - An identifier for the building assigned by the NYC Dept. of Information Technology and Telecommunications, pulled from the Building Footprint Data.

heightroof - Height of the roof of the associated building, pulled from the Building Footprint Data.

feat_code - Code describing the type of building, pulled from the Building Footprint Data.

groundelev - Lowest elevation at the building level, pulled from the Building Footprint Data.

qa - Flag indicating a positive QA/QC check (using multiple types of imagery); all data in this dataset should have 'Good'

notes - Any notes about the green roof taken during visual inspection of imagery; for example, it was noted if the green roof appeared to be missing in newer imagery, or if there were parts of the roof for which it was unclear whether there was green roof area or potted plants.

classified - Flag indicating whether the green roof was detected image classification. (1 for yes, 0 for no)

digitized - Flag indicating whether the green roof was digitized prior to image classification and used as training data. (1 for yes, 0 for no)

newlyadded - Flag indicating whether the green roof was detected solely by visual inspection after the image classification and added. (1 for yes, 0 for no)

original_source - Indication of what the original data source was, whether a specific website, agency such as NYC Dept. of Parks and Recreation (DPR), or NYC Dept. of Environmental Protection (DEP). Multiple sources are separated by a slash.

address - Address based on MapPLUTO, joined to the dataset based on bbl.

borough - Borough abbreviation pulled from MapPLUTO.

ownertype - Owner type field pulled from MapPLUTO.

zonedist1 - Zoning District 1 type pulled from MapPLUTO.

spdist1 - Special District 1 pulled from MapPLUTO.

bbl_fixed - Flag to indicate whether bbl was manually fixed. Since tax lot data may have changed slightly since the release of the building footprint data used in this work, a small percentage of bbl codes had to be manually updated based on overlay between the green roof footprint and the MapPLUTO data, when no join was feasible based on the bbl code from the building footprint data. (1 for yes, 0 for no)

For GreenRoofData2016_20180917.csv there are two additional columns, representing the coordinates of centroids in geographic coordinates (Lat/Long, WGS84; EPSG 4263):

xcoord - Longitude in decimal degrees.

ycoord - Latitude in decimal degrees.

Acknowledgements:

This work was primarily supported through funding from the J.M. Kaplan Fund, awarded to the New York City Program of The Nature Conservancy, with additional support from the New York Community Trust, through New York City Audubon and the Green Roof Researchers Alliance.

Table S1 is a comma-delimited text file (.csv) that contains a list of all craters between 7-to-25 km, their feature identification number (FID), their longitude and latitude in decimal degrees, and the unit abbreviation for the geologic unit they were assigned to.These data are associated with a Singer et al. manuscript submitted to the Journal of Geophysical Research - Planets. The title is "Pluto Geologic Map: Use of Crater Data to Understand Age Relationships". Publication information, including a DOI, will be updated upon completion of the peer review process.Abstract: Pluto’s surface displays a wide variety of geologic units from smooth plains to extremely rugged mountainous expanses. These terrains range in age from young, actively resurfaced regions (no observable craters even in the highest-resolution New Horizons images) to old, heavily cratered, eroded regions. Here we expand upon the crater data analysis and the independent crater data set used in the production of a 1:7M scale geologic map of Pluto that is to be published by the United States Geologic Survey (USGS). We present both relative ages based on crater spatial density (number of craters in a given size bin per km2) and also quantitative ages (e.g., 2 Ga) using the estimated impactor flux onto Pluto. The techniques presented here were developed specifically for the information available from a USGS geologic map, where smaller craters are mapped as points only (no specific diameter information per crater). We developed a new type of visualization, called a distributed R-plot, to understand the relative ages of the geologic units. The uncertainties in the current knowledge of the Kuiper belt populations and impactor flux at Pluto propagate to large uncertainties in the estimated quantitative ages (~a factor of two). However, both relative and quantitative ages from crater analysis were still valuable tools in developing the sequence of geologic events. Pluto has large areas of crater-free young terrains (13 units making up ~27% of mapped higher-resolution surface area), with widely varying morphologies, indicating a variety of resurfacing mechanisms, both exogenic and endogenic, likely active into Pluto’s recent past or present.

Publication Date: April 2025. This polygon layer is updated annually.

This layer contains 2024 parcel data only for NY State counties which gave NYS ITs Geospatatial Services permission to share this data with the public. Work to obtain parcel data from additional counties, as well as permission to share the data, is ongoing. To date, 36 counties have provided the Geospatial Services permission to share their parcel data with the public. Parcel data for counties which do not allow the Geospatial Services to redistribute their data must be obtained directly from those counties. Geospatial Services' goal is to eventually include parcel data for all counties in New York State.

Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2024 Assessment Roll tabular data Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel.

Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page.

This layer displays when zoomed in below 1:37,051-scale.

This map service is available to the public.

Geometry accuracy varies by contributing county.

Thanks to the following counties that specifically authorized Geospatial Services to share their GIS tax parcel data with the public: Albany, Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, Livingston, Montgomery, New York City (Bronx, Kings, New York, Queens, Richmond), Oneida, Onondaga, Ontario, Orange, Oswego, Otsego, Putnam, Rensselaer, Rockland, Schuyler, Steuben, St Lawrence, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Wayne, and Westchester.

The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

This data set contains derived geology and geophysical maps of Pluto and Charon derived from data taken by the New Horizons Multispectral Visible Imaging Camera (MVIC) and the Long-range Reconnaissance Imager (LORRI) instruments during the Pluto Encounter mission phase.

Publication Date: April 2025. Updated annually, or as needed. The data can be downloaded here: https://gis.ny.gov/parcels#data-download. This feature service contains 2024 parcel centroid data for all New York State Counties. It is scale triggered to display up to 1:37,050-scale.Parcel centroids were generated using the NYS Office of Information Technology Services Geospatial Services Statewide Parcel Map program data. Attribute values were populated using 2024 Assessment Roll tabular data Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS).Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page. Each centroid point was mathematically derived and falls within a tax parcel polygon.This map service is available to the public.The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

This data set contains Raw data taken by the New Horizons Long Range Reconnaissance Imager instrument during the Pluto encounter mission phase. This is VERSION 3.0 of this data set. This data set contains LORRI observations taken during the the Approach (Jan-Jul, 2015), Encounter, Departure, and Transition mission sub-phases, including flyby observations taken on 14 July, 2015, and departure and calibration data through late October, 2016. Departure observations include a ring search of the Pluto system and 1994 JR1 observations. This data set completes the Pluto mission phase deliveries for LORRI. This is version 3.0 of this dataset. Changes since version 2.0 include the addition of data downlinked between the end of January, 2016 and the end of October, 2016, completing the delivery of all data covering the Pluto Encounter and subsequent Calibration Campaign. It includes multi- map observations from the Approach phase, observations of the moons, hi- res, full-frame observations from Pluto Encounter and Departure, sliver maps, and ring search observations. There may be some overlap between prior datasets and this dataset, due to only partial, windowed, or lossy data in prior datasets. Observations at closest approach to Pluto are marked with _CA in the Request ID. This dataset also includes functional tests from the Calibration Campaign, including a regular observation of NGC3532. Finally it includes the first set of distant KBO observations. Also, updates were made to the calibration files, documentation, and catalog files. There were minor changes to the level 2 LORRI calibration process, as well as to the LORRI calibration constants for the final Pluto P3 PDS delivery. The process change involves gap removal during calibration. Files with gaps come in many flavors, depending on where the gap lies within the image. This update recognizes some additional possiblities, mainly that the gap might be close to the bottom or top of the image (and therefore the previous algorithm would fail because it filled the gap with median pixel info from both above and below the gap). The new algorithm will take the info from one side of the gap exclusively, when appropriate.

The Capital Planning Platform is a new resource for collaborative planning, powered by open data and open source technology.The New York City Department of City Planning pioneered open data with Bytes of the Big Apple a decade ago. With the creation of the DCP"s Capital Planning Division in 2014, we envisioned a new civic technology resource: the Capital Planning Platform - a place for planners to access the maps, data, and analytics that they need to plan for public investments in neighborhoods and collaborate with one another. The NYC Facilities Explorer (beta) is a first step in building this vision. Over the months and years to come, we plan to add more map layers, new and improved datasets, and new analysis tools to this mapping platform to help automate a broad array of planning analyses and make the capital planning process more efficient, coordinated, and strategic across the public and private sectors in New York City.The Capital Planning Platform complements other data and maps that DCP produces. We also encourage users to explore the following resources, among others, on DCP"s website.NYC Census FactFinder - An interactive tool for creating demographic, social, economic, and housing profiles for neighborhoods and user-defined groupings of Census tracts.PLUTO and MapPLUTO - Extensive land use and geographic data at the tax lot level in multiple formats.Zoning and Land use Application (ZoLA) – ZoLA provides a simple way to research zoning regulations in New York City.Waterfront Access Map - This interactive map identifies and provides information about New York City’s inventory of publicly-accessible waterfront spaces.Community Portal - The DCP Community Portal offers resources on a variety of topics related to land use, community planning, and demographic trends for each of New York City’s 59 Community Boards

Map of Pluto's incidence-angle-average bolometric hemispherical albedo (local energy-balance albedo, equal to one minus absorption). The map is based on analyses of New Horizons Long Range Reconnaissance Imager (LORRI) and Multispectral Visible Imaging Camera (MVIC) images of Pluto in 2015.

This data set contains Calibrated data taken by the New Horizons Long Range Reconnaissance Imager instrument during the Pluto encounter mission phase. This is VERSION 2.0 of this data set. This data set contains LORRI observations taken during the the Approach (Jan-Jul, 2015) and Encounter mission sub-phases, including flyby observations taken on 14 July, 2015; the data are limited to those downlinked from the spacecraft as of the end of January, 2016. The rest of the downlinked data for this mission phase will be delivered in a future data set. Refer to the data set description above and the sequence table provided in the documentation for more detail about which observations are present in this data set. This is version 2.0 of this data set. Changes since version 1.0 include data downlinked between the end of July, 2015 and the end of January, 2016. These include Pluto Charon, Nix and Hydra observations from Approach, the day of the flyby, and Departure, lossless downlinks of images downlinked with lossy compression in version 1.0, Nix orbit determination observations, Multi-maps and VIS-UV maps taken in coordination with ALICE, High-phase and departure imaging, satellite photometry, non-critical navigation imaging, Kerberos and Styx imaging, KBO 1994 JR1 observations and departure ring-search observations taken in November, 2015, Charon dark side lit by Pluto-shine, and several other observations. The lossy images from Version 1.0 were recalibrated, including expanding the 'bad' pixel designation of 8x8 boxes affected by the first 34 pixels of header information in the calibrated quality map. Also, updates were made to the documentation and catalog files, primarily to resolve liens from the V1.0 peer review.

This data set contains Raw data taken by the New Horizons Long Range Reconnaissance Imager instrument during the Pluto encounter mission phase. This is VERSION 2.0 of this data set. This data set contains LORRI observations taken during the the Approach (Jan-Jul, 2015) and Encounter mission sub-phases, including flyby observations taken on 14 July, 2015; the data are limited to those downlinked from the spacecraft as of the end of January, 2016. The rest of the downlinked data for this mission phase will be delivered in a future data set. Refer to the data set description above and the sequence table provided in the documentation for more detail about which observations are present in this data set. This is version 2.0 of this data set. Changes since version 1.0 include data downlinked between the end of July, 2015 and the end of January, 2016. These include Pluto Charon, Nix and Hydra observations from Approach, the day of the flyby, and Departure, lossless downlinks of images downlinked with lossy compression in version 1.0, Nix orbit determination observations, Multi-maps and VIS-UV maps taken in coordination with ALICE, High-phase and departure imaging, satellite photometry, non-critical navigation imaging, Kerberos and Styx imaging, KBO 1994 JR1 observations and departure ring-search observations taken in November, 2015, Charon dark side lit by Pluto-shine, and several other observations. The lossy images from Version 1.0 were recalibrated, including expanding the 'bad' pixel designation of 8x8 boxes affected by the first 34 pixels of header information in the calibrated quality map. Also, updates were made to the documentation and catalog files, primarily to resolve liens from the V1.0 peer review.

This data set contains Raw data taken by the New Horizons Long Range Reconnaissance Imager instrument during the Pluto encounter mission phase. This is VERSION 2.0 of this data set. This data set contains LORRI observations taken during the the Approach (Jan-Jul, 2015) and Encounter mission sub-phases, including flyby observations taken on 14 July, 2015; the data are limited to those downlinked from the spacecraft as of the end of January, 2016. The rest of the downlinked data for this mission phase will be delivered in a future data set. Refer to the data set description above and the sequence table provided in the documentation for more detail about which observations are present in this data set. This is version 2.0 of this data set. Changes since version 1.0 include data downlinked between the end of July, 2015 and the end of January, 2016. These include Pluto Charon, Nix and Hydra observations from Approach, the day of the flyby, and Departure, lossless downlinks of images downlinked with lossy compression in version 1.0, Nix orbit determination observations, Multi-maps and VIS-UV maps taken in coordination with ALICE, High-phase and departure imaging, satellite photometry, non-critical navigation imaging, Kerberos and Styx imaging, KBO 1994 JR1 observations and departure ring-search observations taken in November, 2015, Charon dark side lit by Pluto-shine, and several other observations. The lossy images from Version 1.0 were recalibrated, including expanding the 'bad' pixel designation of 8x8 boxes affected by the first 34 pixels of header information in the calibrated quality map. Also, updates were made to the documentation and catalog files, primarily to resolve liens from the V1.0 peer review.

This data set contains Calibrated data taken by the New Horizons Multispectral Visible Imaging Camera instrument during the Pluto encounter mission phase. This is VERSION 2.0 of this data set. This data set contains MVIC observations taken during the the Approach (Jan-Jul, 2015) and Encounter mission sub-phases, including flyby observations taken on 14 July, 2015. This is version 2.0 of this data set. Version 1.0 included data downlinked between the end of July, 2015 through the end of October 2015. Changes since version 1.0 include additional data downlinked between October, 2015 and the end of January, 2016. These observations include Charon, Nix and Hydra observations from the day of encounter, Pluto and Charon Multi-maps and Multi-longitudes from Approach, full-frame versions of observations downlinked as sub-framed (windowed) versions for version 1.0, Kerberos and Styx observations, Pluto High-phase and Color observations, and departure Ring-search observations taken in November, 2015. Also, updates were made to the documentation and catalog files, primarily to resolve liens from the V1.0 peer review.

This data set contains derived data products from the New Horizons geology and geophysics science theme team. The products include mosaics, and topographic and bond albedo maps for Pluto and Charon. They are derived from observations taken by the LOng-Range Reconnaissance Imager instrument and the Multispectral Visible Imaging Camera instrument on the New Horizons mission during the Pluto Encounter mission phase. This is VERSION 1.0 of this data set.