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  1. Title: The Nighttime Lights of the World

    Contributors:

    Summary: The Nighttime Lights of the World dataset contains the first satellite-based global inventory of human settlements, derived from nighttime data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). The DMSP-OLS has the unique capability to observe faint sources of visible-near infrared emissions present at the Earth's surface, including cities, towns, villages, gas flares, and fires. NGDC has developed algorithms for producing georeferenced fire and nighttime lights prod System requirements: Geographic Information Systems (GIS) software that reads ESRI shapefile format.

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  2. Title: Zoning Map, Millis, Massachusetts, 2000 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Official zoning map of the town of Millis, Massachusetts, Earth Tech [for] Millis Planning Board. It was published by Earth Tech in 2000. Scale [1:12,000]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also zoning districts, planning board members, street names, and watersheds. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  3. Title: Town Owned Land and Zoning Districts, Wrentham, Massachusetts, 1997 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Town of Wrentham, town owned land and zoning districts, Earth Tech. It was published by Earth Tech in 1997. Scale 1:16,800]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, wetlands, cadastral parcels, territorial boundaries, shoreline features, and more. Includes also zoning districts and handwritten additions. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  4. Title: Anchorages, Northeast United States, 2013

    Contributors:

    Summary: This polygon shapefile represents anchorages in the Northeastern United States. The areas described are designated as special anchorage areas for purposes of 33 U.S.C. §§2030(g) and 2035(j). Vessels of less than 20 meters in length, and barges, canal boats, scows, or other nondescript craft, are not required to sound signals required by rule 35 of the Inland Navigation Rules (33 U.S.C. 2035). Vessels of less than 20 meters are not required to exhibit anchor lights or shapes required by rule 30 of the Inland Navigation Rules (33 U.S.C. 2030). The anchorage grounds for vessels described in Subpart B of this part are established, and the rules and regulations in relation thereto adopted, pursuant to the authority contained in section 7 of the act of March 4, 1915, as amended (38 Stat. 1053; 33 U.S.C. 471). To support coastal and ocean planning and other activities pursuant to the Coastal Zone Management Act, Energy Policy Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. Baldwin Group. (2013). Anchorages, Northeast United States, 2013. NOAA Coastal Services Center. Available at: http://purl.stanford.edu/zy083wf7998. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  5. Title: Sedimentary Environment, Hudson River estuary, 2004

    Contributors:

    Summary: This dataset provides sedimentary environments of the Hudson River Estuary from Verrazano Narrows Bridge to Troy. Areas of the Hudson River shallower than 4 meters have not been surveyed and sampled completely. The sedimentary environment interpretation is based on the evaluation of Chirp sub-bottom acoustic profiler data in conjunction with acoustic backscatter and bathymetry data. It is subdivided into depositional, erosional, and dynamic classes that are further subdivided, depending on the details identified in the sub-bottom data, or because of their location. A more complete description of this interpretation can be found in Nitsche et al. (2004) and Nitsche et al. (2005) In 1996, the New York State Department of Environmental Conservation (DEC) initiated an effort to map the benthic habitat of the Hudson River Estuary as part of a larger Hudson River Action Plan. This project includes extensive mapping using sidescan sonar, sub-bottom profiling, single and multi-beam bathymetric sonars, as well as collecting ground truth data with sediment cores, grab samples, and sediment profiling imagery (SPI). The goal of the project is the creation of a comprehensive data set that includes detailed interpretive maps of the physical environment of the floor of the estuary. An overview of the first phase of the benthic mapping project can be found in Bell et al. (2006)

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  6. Title: Sediment Type, Hudson River estuary, 2004

    Contributors:

    Summary: This dataset provides sediment types found on the floor of the Hudson River Estuary. The sediment type interpretation is based on the grain size analysis of the cores and grabs with some guidance from acoustic backscatter data collected with sidescan sonar. Sediment profile imagery (SPI) has also been used to supplement these interpretations. Since the first guide in developing this interpretation is contouring the results of the grain size interpretation there is deviation from the side scan images. In most research on sediments, grain size data is given in phi intervals rather than in microns, millimeters, or inches. One phi unit is equal to one Udden-Wentworth grade. Phi diameter is computed by taking the negative log of the diameter in millimeters. We have identified 9 major classes of sediment based on the Wentworth classification. In 1996, the New York State Department of Environmental Conservation (DEC) initiated an effort to map the benthic habitat of the Hudson River Estuary as part of a larger Hudson River Action Plan. This project includes extensive mapping using sidescan sonar, sub-bottom profiling, single and multi-beam bathymetric sonars, as well as collecting ground truth data with sediment cores, grab samples, and sediment profiling imagery (SPI). The goal of the project is the creation of a comprehensive data set that includes detailed interpretive maps of the physical environment of the floor of the estuary. An overview of the first phase of the benthic mapping project can be found in Bell, et al. (2006)

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  7. Title: Shoreline, Hudson River estuary, 1998

    Contributors:

    Summary: This data set presents a detailed shoreline of the Hudson River Estuary, based upon shoreline data from the Hudson River Estuary Program (accuracy <5m) where such data are available, and NOAA data (accuracy >10m) for the remainder. To provide a complete detailed shoreline of the Hudson River Estuary, from Staten Island to Troy, New York.

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  8. Title: Burkina Faso - Electricity Transmission Network (2017)

    Contributors:

    Summary: This majority of this data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. Additional updated data for 2017 from ECREEE transmission network for West Africa, online at ECOWREX The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2017). Burkina Faso - Electricity Transmission Network (2017) World Bank Group. Available at: http://purl.stanford.edu/zm478nc0085 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  9. Title: Liberia - Electricity Transmission Network (2017)

    Contributors:

    Summary: Combination of the following data sources: 1) ECREEE transmission network for West Africa, online at ECOWREX 2) Data collected by the Columbia Earth Institute. 3) Plan data collected and prepared for a project of the World Bank Group digitized from a PDF map. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2017). Liberia - Electricity Transmission Network (2017) World Bank Group. Available at: http://purl.stanford.edu/mk600sc5248 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  10. Title: Tanzania - Power Stations (2014)

    Contributors:

    Summary: Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2014). Tanzania - Power Stations (2014) World Bank Group. Available at: http://purl.stanford.edu/jb526kx6802 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  11. Title: Kenya - Electricity Transmission Network (2017)

    Contributors:

    Summary: Some lines are extracted from OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2017). Kenya - Electricity Transmission Network (2017) World Bank Group. Available at: http://purl.stanford.edu/ft766rc7072 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  12. Title: Ivory Coast - Substations (2017)

    Contributors:

    Summary: Data collected and prepared for a project of the World Bank Group in February 2017. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. Some existing lines extracted from OSM data © OpenStreetMap contributors. The majority of the data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2017). Ivory Coast - Substations (2017) World Bank Group. Available at: http://purl.stanford.edu/rs046vc3669 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  13. Title: Tanzania - TANESCO Hydro Power Stations (2015)

    Contributors:

    Summary: Tanzania Electric Supply Company Limited (TANESCO) is a parastatal organization under the Ministry of Energy and Minerals. The Company generates, transmits, distributes and sells electricity to Tanzania Mainland and sells bulk power to the Zanzibar Electricity Corporation (ZECO) which in turn sells it to the public in islands Unguja and Pemba. TANESCO owns most of the electricity Generating, Transmitting and Distributing facilities in Tanzania Mainland. The dataset provides information on existing, under construction and proposed power stations for hydro, thermal and substations, as well as existing and under construction transmission lines. The data is geo-referenced , digitized and extracted from the national grid system map published in 2015 by TANESCO. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2015). Tanzania - TANESCO Hydro Power Stations (2015) World Bank Group. Available at: http://purl.stanford.edu/pd157sw9638 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  14. Title: Laos - Subtations (2005)

    Contributors:

    Summary: Data collected and prepared for a project of the World Bank Group in January 2005. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2005). Laos - Subtations (2005) World Bank Group. Available at: http://purl.stanford.edu/pd730sn0351 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  15. Title: Kenya - Power Facilites (2014)

    Contributors:

    Summary: Installed and Effective Capacities (MW) per Power Facilities 2014. Data complied from the Kenya Power annual report 2014 (Data submitted on 30.06.2014); the Kenyan Energy Regulatory Commission and Wikipedia for some geolocalizations. Citation: Negawatt challenge. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2014). Kenya - Power Facilites (2014) World Bank Group. Available at: http://purl.stanford.edu/mr986jf9378 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  16. Title: Nepal - Power Stations (2013)

    Contributors:

    Summary: Data collected and prepared for a project of the World Bank Group in October 2013. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2013). Nepal - Power Stations (2013) World Bank Group. Available at: http://purl.stanford.edu/pp739dt4017 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  17. Title: Djibouti - Electricity Transmission Network (2017)

    Contributors:

    Summary: Extracts taken from World Bank project archives. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2017). Djibouti - Electricity Transmission Network (2017) World Bank Group. Available at: http://purl.stanford.edu/hp896cx4882 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  18. Title: Tanzania - Electricity Transmission Network (2014)

    Contributors:

    Summary: Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2014). Tanzania - Electricity Transmission Network (2014) World Bank Group. Available at: http://purl.stanford.edu/qt521ms7898 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  19. Title: Zambia - Electricity Transmission Network (2019)

    Contributors:

    Summary: Existing and planned lines. Combination of the following data sources: 1) data collected and prepared for a project of the World Bank Group in April 2014 2) The Africa Infrastructure Country Diagnostic (AICD) study 3) OSM data © OpenStreetMap contributors This data is partially based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2019). Zambia - Electricity Transmission Network (2019) World Bank Group. Available at: http://purl.stanford.edu/kk303kf7319 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  20. Title: Angola - Electricity Transmission and Distribution (2017)

    Contributors:

    Summary: Existing only, 30 400 kV. Combination of the following data sources: 1) Africa Infrastructure Country Diagnostic (AICD) 2009 https://datacatalog.worldbank.org/dataset/angola-electricity-transmissio... 2) OSM data © OpenStreetMap contributors. The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact. World Bank Group. (2017). Angola - Electricity Transmission and Distribution (2017) World Bank Group. Available at: http://purl.stanford.edu/rw008qs8310 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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