Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

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Layers of 1, 5, 10, and 20 degree latitude and longitude intervals are provided to establish an optional cartographic hierarchy for enhanced figure/ground presentation. Finer grid lines (1 degree interval) are given a thinner line weight. The courser grid lines (through 20 degree interval) are shown with thicker line weight. The stacking of these grid lines create an additive opacity effect so that the courser lines appear more boldly. This sort of nested mesh provides visual interest, a consistent referential framework as the map reader zooms in and out, and the ability to visually track and compare the relative _location of features across ordinate lines. Grid lines have been clipped by their coincident _location over land or ocean. This provides the cartographer an added level of stylistic freedom when choosing to show or hide and symbolize various graticule scales depending on the underlying feature.

ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

Monitoring Stations - shapefile with approximate locations of monitoring stations.

DSM2 Grid 2025-05-28 Historical

FC_2023.01

DSM2 v8.2.0, calibrated version:

• dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
• dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
• dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
• dsm2_8_2_0_calibrated_nodes - DSM2 nodes
• dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
• dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
• dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
• dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
• dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
• dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
• dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

DSM2 v8.2.1, historical version:

• DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
• DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
• DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
• DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
• DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

Change Log

7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

The City of Aurora, Colorado sits in three different counties: Adams County, Arapahoe County, and Douglas County and lies just east of the City and County of Denver. The city's population was estimated at 375,000 on July 1, 2018. This web map application presents licensed business within the City of Aurora.

This grid is based on an old map series called the New Jersey Atlas Sheets and on a reference system based on them called the New Jersey Rectangular Coordinate System. The grid system developed as the ATLAS_GRID does not exist on the atlas sheets but is based on latitude and longitude grids included on the sheets. The original 17 map sheets (numbered from 21 through 37) were produced with grid lines shown every 2 minutes of latitude and every 2 minutes of longitude, producing a regular grid of RECTANGLES. This rectangular grid forms the basis of the reference system. For each sheet, groups of RECTANGLES are aggregated together to form BLOCKS . Each BLOCK in each sheet is given a number from 1 to 45. Within each BLOCK, each RECTANGLE is numbered from 1 to 9. RECTANGLES are further divided into 9 sections called UNITS (numbered 1 to 9) and each UNIT divided into 9 sections called PARTS (also numbered 1 to 9). Each of these smallest sub divisions can be identified by a unique 7 digit code composed of the ATLAS SHEET number, and the number of the BLOCK, RECTANGLE, UNIT and PART. This 7 digit identifier is part of the historical well database and is still used on new permits.

Used to delineate boundaries for each page and GPS grid of the DeLorme Gazetteer. The longitudinal grid lines are at 5 minutes and 15 second intervals and latitudinal grids are labeled at 3 minute and 10 second intervals. This is believed to be compatible with all editions of the Gazetteer.

This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

This is the most complete and up-to-date open map of Sub-Saharan Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007.

Coverage: This dataset includes planned and existing grid lines for all 43 continental Sub-Saharan African countries and Madagascar. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country.

An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer.

The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps

There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information.

Limitations: Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed.

The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

The Atlas2x2m is a 2 minute by 2 minute grid dissolved from the Well Program Atlas Sheet Grid for New Jersey. That grid was based on an old map series called the New Jersey Atlas Sheets and on a reference system based on them called the New Jersey Rectangular Coordinate System. The grid system developed as the ATLAS_GRID does not exist on the atlas sheets but is based on latitude and longitude grids included on the sheets. The original 17 map sheets (numbered from 21 through 37) were produced with grid lines shown every 2 minutes of latitude and every 2 minutes of longitude, producing a regular grid of RECTANGLES. This rectangular grid forms the basis of the reference system. For each sheet, groups of RECTANGLES are aggregated together to form BLOCKS . Each BLOCK in each sheet is given a number from 1 to 45. Within each BLOCK, each RECTANGLE is numbered from 1 to 9. RECTANGLES are further divided into 9 sections called UNITS (numbered 1 to 9) and each UNIT divided into 9 sections called PARTS (also numbered 1 to 9). Each of these smallest sub divisions can be identified by a unique 7 digit code composed of the ATLAS SHEET number, and the number of the BLOCK, RECTANGLE, UNIT and PART. This 7 digit identifier is part of the historical well database and is still used on new permits.

This dataset was generated based on a map extract from May 11, 2016. This is an unofficial extract of the ENTSO-E interactive map of the European power system (including to a limited extent North Africa and the Middle East). The dataset has been processed by GridKit to form complete topological connections. This dataset is neither approved nor endorsed by ENTSO-E.

This dataset may be inaccurate in several ways, notably:

• Geographical coordinates are transfered from the ENTSO-E map, which is known to choose topological clarity over geographical accuracy. Hence coordinates will not correspond exactly to reality.
• Voltage levels are typically provided as ranges by ENTSO-E, of which the lower bound has been reported in this dataset. Not all lines - especially DC lines - contain voltage information.
• Line structure conflicts are resolved by picking the first structure in the set
• Transformers are not present in the original ENTSO-E dataset, there presence has been derived from the different voltages from connected lines.
• The connection between generators and busses is derived as the geographically nearest station at the lowest voltage level. This information is again not present in the ENTSO-E dataset.

All users are advised to exercise caution in the use of this dataset. No liability is taken for inaccuracies.

Boundaries are based on PLSS lines and broken down to the quarter section level. Hyperlinks to 1/4 1/4 Utility Maps and Valve swing-tie maps are hosted from this layer due to the sharing quarter section map extents.Attribute Information:Field Name DescriptionOBJECTIDESRI software specific field that serves as an index for the database.MAPNUMA combination of section and quarter section numbers.TRMAPNUMTownship and range included before the map number.TRMAPNUMDIRTRMAPNUM with the inclusion of directional values.GlobalIDESRI software specific field that is automatically assigned by the geodatabase at row creation.ShapeESRI software specific field denoting the geometry type of the asset.created_userName of user whom created the asset.created_dateDate when the asset was created.last_edited_userName of user whom most recently edited asset information.last_edited_dateDate when asset was most recently updated.ConvertedProgress tracking field.

The sheet section of the Austrian map 1:50 000 is 20‘x12’ and is based on round geographical grid lines. The average area of a leaf area bounded by the grid lines is 560 km². The federal territory is covered with 191 map sheets. The sheet numbering of the Austrian card 1:50 000 is carried out by four digits. The first two digits describe a range of 2 longitudes x 1 latitude, the two following digits indicate the leaf position within this range, with a consecutive numbering of 1 – 30 from top left to bottom right.
Each sheet of the Austrian map 1:50 000 receives a sheet name in addition to the number, which generally results from the name of the largest town or other significant geographical term.

Surprise of the vectorial topographical map of Flanders and Brussels, drawn up between 1991 and 2008 on a scale of 1/10,000 by the NGI. The resolution is 381 dpi (15 dots/mm). This combined raster file contains, in addition to the topographical map, the contour lines and the "writing" (names). The recommended working scale is 1/10,000.

This digital publication, GPR 2011-4, contains Fugro Airborne Surveys' analysis and interpretation of data produced from airborne geophysical surveys published by DGGS in 2011 (GPR 2011-2) of the Iditarod survey area. Fugro Airborne Surveys' frequency-domain DIGHEM V system was used for the EM data. GPR 2011-4 includes (1) Fugro's project report with interpretation and detailed EM Anomalies in tabular format, (2) Multi-channel stacked profiles in pdf format, and (3) interpretation and em anomalies are each provided as Geotiffs and maps. The document gpr2011_004_readme (.txt and .pdf) lists all files included in this publication. Other supporting files include gpr2011-4_browsegraphic.pdf, gpr2011-4_emanomaly_readme.pdf. The airborne data were acquired and processed under contract between the State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys (DGGS), and Fugro GeoServices, Inc. Fugro Airborne Surveys, the subcontractor, acquired and processed the data in 2010 and 2011.

Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The model documentation and code are also available , so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. You can find the model code and documentation here: https://github.com/facebookresearch/many-to-many-dijkstra

Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again.

Resolution: geotiff is provided at Bing Tile Level 20

These useful see-through map cards are great for reading bearings, distances and grid references on 1:100 000 and 1:250 000 scale maps. The romer can be purchased as part of the Map Reading Guide, …Show full descriptionThese useful see-through map cards are great for reading bearings, distances and grid references on 1:100 000 and 1:250 000 scale maps. The romer can be purchased as part of the Map Reading Guide, or downloaded for reference. A romer can be used for determining the last Easting and last Northing figures for a six-figure grid reference: Place the top right hand corner intersection of the romer lines over the point of interest. Read the numbers from this point to the left to give the final Easting figure, and down to give the final Northing figure. The number required is the last number read, before the grid line on the map crosses the romer.

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Vineyard and western Nantucket Sounds, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bottom photographs, and surficial sediment samples. The interpretation of the seismic stratigraphy and mapping of glacial and Holocene marine units provided a foundation on which the surficial maps were created. This mapping is a result of a collaborative effort between the U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management to characterize the surface and subsurface geologic framework offshore of Massachusetts.

This Digital Elevation Map (DEM) was created from the contour lines of the Aerometrics orthophoto from 1996. In addition the 1 x1 km CALM grid with 121 points (every 100 m) was resurveyed in summer 2014 with a Topcon RTK. This RTK data as well as a lake and river layer was included in the DEM creation. The DEM accuracy is = +/- 1m. Back to: Toolik Lake Grid Geobotanical Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: Digital Elevation, Glaical geology, Percent Water, Surficial geology, Surficial Geomorphology, Vegetation References Walker, D. A., Maier, H. A. 2008. Vegetation in the Vicinity of the Toolik Lake Field Station, Alaska. Biological Papers of the University of Alaska, Institute of Arctic Biology. No. 28.