Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map feature extraction challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided to the public to support continued development of automated georeferencing and feature extraction tools. References for all maps are included with the data.

This map provides a colorized representation of slope, generated dynamically using server-side slope function on Terrain service. The degree of slope steepness is depicted by light to dark colors - flat surfaces as gray, shallow slopes as light yellow, moderate slopes as light orange and steep slopes as red-brown. A scaling is applied to slope values to generate appropriate visualization at each map scale. This service should only be used for visualization, such as a base layer in applications or maps. If access to non-scaled slope values is required, use the Slope Degrees or Slope percent functions, which return values from 0 to 90 degrees, or 0 to 1000%, respectively.What can you do with this layer?Use for Visualization: Yes. This colorized slope is appropriate for visualizing the steepness of the terrain at all map scales. This layer can be added to applications or maps to enhance contextual understanding. Use for Analysis: No. 8 bit color values returned by this service represent scaled slope values. For analysis with non-scaled values, use the Slope Degrees or Slope percent functions.For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.

A pre-configured, multi-layer web map for viewing all Total Summer Precipitation scenarios. (To launch the map from the Climate Change Open Data site, select "View Metadata" under the "About" heading, then look for the button labeled "Open in Map Viewer" to the upper right.) The map layers depict historical total summer (Apr-Sep) precipitation and projected changes in total summer precipitation. Geographic units: HUC10. Map layer data include historical (1970-1999) values plus two projections each for two future time periods, 2050s (2040-2069) and 2080s (2070-2099), based on lower and higher greenhouse gas emission scenarios, RCP 4.5 and RCP 8.5. Data classes and symbology by Robert Norheim, Climate Impacts Group, based on the CMIP5 projections used in the IPCC 2013 report. Data source: Mote et al. 2015.

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).

All of the Digital City Map (DCM) datasets are featured on the Streets App

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

This series of cartographic quality printed 1:50 000 scale monochrome maps cover the provincial extent of Alberta comprised of 764 maps that are individually named using the National Topographic System (NTS) map sheet identifier. These maps display the Alberta Township System (ATS), hydrographic features, municipalities, roads, cutlines, facilities, pipelines, powerlines, railways, select geo-administrative features (parks, reserves, etc.). All maps contained within a 1:250 000 block (generally up to 16 map sheets) will be included in the NTS Block download.This series is not updated on a regular basis and may contain a range of publication dates.

This dataset shows the results of mapping the connectivity of key values (natural heritage, indigenous heritage, social and historic and economic) of the Great Barrier Reef with its neighbouring regions (Torres Strait, Coral Sea and Great Sandy Strait). The purpose of this mapping process was to identify values that need joint management across multiple regions. It contains a spreadsheet containing the connection information obtained from expert elicitation, all maps derived from this information and all GIS files needed to recreate these maps. This dataset contains the connection strength for 59 attributes of the values between 7 regions (GBR Far Northern, GBR Cairns-Cooktown, GBR Whitsunday-Townsville, GBR Mackay-Capricorn, Torres Strait, Coral Sea and Great Sandy Strait) based on expert opinion. Each connection is assessed based on its strength, mechanism and confidence. Where a connection was known to not exist between two regions then this was also explicitly recorded. A video tutorial on this dataset and its maps is available from https://vimeo.com/335053846.

Methods:

The information for the connectivity maps was gathered from experts (~30) during a 3-day workshop in August 2017. Experts were provided with a template containing a map of Queensland and the neighbouring seas, with an overlay of the regions of interest to assess the connectivity. These were Torres Strait, GBR:Far North Queensland, GBR:Cairns to Cooktown, GBC: Townsville to Whitsundays, GBR: Mackay to Capricorn Bunkers and Great Sandy Strait (which includes Hervey bay). A range of reference maps showing locations of the values were provided, where this information could be obtained. As well as the map the template provided 7x7 table for filling in the connectivity strength and connection type between all combinations of these regions. The experts self-organised into groups to discuss and complete the template for each attribute to be mapped. Each expert was asked to estimate the strength of connection between each region as well as the connection mechanism and their confidence in the information. Due to the limited workshop time the experts were asked to focus on initially recording the connections between the GBR and its neighbouring regions and not to worry about the internal connections in the GBR, or long-distance connections along the Queensland coast. In the second half of the workshop the experts were asked to review the maps created and expand on the connections to include those internal to the GBR. After the workshop an initial set of maps were produced and reviewed by the project team and a range of issues were identified and resolved. Additional connectivity maps for some attributes were prepared after the workshop by the subject experts within the project team. The data gathered from these templates was translated into a spreadsheet, then processing into the graphic maps using QGIS to present the connectivity information. The following are the value attributes where their connectivity was mapped: Seagrass meadows: pan-regional species (e.g. Halophila spp. and Halodule spp.) Seagrass meadows: tropical/sub-tropical (Cymodocea serrulata, Syringodium isoetifolium) Seagrass meadows: tropical (Thalassia, Cymodocea, Thalassodendron, Enhalus, Rotundata) Seagrass meadows: Zostera muelleri Mangroves & saltmarsh Hard corals Crustose coralline algae Macroalgae Crown of thorns starfish larval flow Acropora larval flow Casuarina equisetifolia & Pandanus tectorius Argusia argentia Pisonia grandis: cay vegetation Inter-reef gardens (sponges + gorgonians) (Incomplete) Halimeda Upwellings Pelagic foraging seabirds Inshore and offshore foraging seabirds Migratory shorebirds Ornate rock lobster Yellowfin tuna Black marlin Spanish mackerel Tiger shark Grey nurse shark Humpback whales Dugongs Green turtles Hawksbill turtles Loggerhead turtles Flatback turtles Longfin & Shortfin Eels Red-spot king prawn Brown tiger prawn Eastern king prawns Great White Shark Sandfish (H. scabra) Black teatfish (H. whitmaei) Location of sea country Tangible cultural resources Location of place attachment Location of historic shipwrecks Location of places of social significance Location of commercial fishing activity Location of recreational use Location of tourism destinations Australian blacktip shark (C. tilstoni) Barramundi Common black tip shark (C. limbatus) Dogtooth tuna Grey mackerel Mud crab Coral trout (Plectropomus laevis) Coral trout (Plectropomus leopardus) Red throat emperor Reef manta Saucer scallop (Ylistrum balloti) Bull shark Grey reef shark

Limitations of the data:

The connectivity information in this dataset is only rough in nature, capturing the interconnections between 7 regions. The connectivity data is based on expert elicitation and so is limited by the knowledge of the experts that were available for the workshop. In most cases the experts had sufficient knowledge to create robust maps. There were however some cases where the knowledge of the participants was limited, or the available scientific knowledge on the topic was limited (particularly for the ‘inter-reefal gardens’ attribute) or the exact meaning of the value attribute was poorly understood or could not be agreed up on (particularly for the social and indigenous heritage maps). This information was noted with the maps. These connectivity maps should be considered as an initial assessment of the connections between each of the regions and should not be used as authoritative maps without consulting with additional sources of information. Each of the connectivity links between regions was recorded with a level of confidence, however these were self-reported, and each assessment was performed relatively quickly, with little time for reflection or review of all the available evidence. It is likely that in many cases the experts tended to have a bias to mark links with strong confidence. During subsequent revisions of some maps there were substantial corrections and adjustments even for connections with a strong confidence, indicating that there could be significant errors in the maps where the experts were not available for subsequent revisions. Each of the maps were reviewed by several project team members with broad general knowledge. Not all connection combinations were captured in this process due to the limited expert time available. A focus was made on capturing the connections between the GBR and its neighbouring regions. Where additional time was available the connections within 4 regions in the GBR was also captured. The connectivity maps only show connections between immediately neighbouring regions, not far connections such as between Torres Strait and Great Sandy Strait. In some cases the connection information for longer distances was recorded from the experts but not used in the mapping process. The coastline polygon and the region boundaries in the maps are not spatially accurate. They were simplified to make the maps more diagrammatic. This was done to reduce the chance of misinterpreting the connection arrows on the map as being spatially explicit.

Format:

This dataset is made up of a spreadsheet that contains all the connectivity information recorded from the expert elicitation and all the GIS files needed to recreate the generated maps.

original/GBR_NESP-TWQ-3-3-3_Seascape-connectivity_Master_v2018-09-05.xlsx: ‘Values connectivity’: This sheet contains the raw connectivity codes transcribed from the templates produced prepared by the subject experts. This is the master copy of the connection information. Subsequent sheets in the spreadsheet are derived using formulas from this table. 1-Vertical-data: This is a transformation of the ‘Values connectivity’ sheet so that each source and destination connection is represented as a single row. This also has the connection mechanism codes split into individual columns to allow easier processing in the map generation. This sheet pulls in the spatial information for the arrows on the maps (‘LinkGeom’ attribute) or crosses that represent no connections (‘NoLinkGeom’) using lookup tables from the ‘Arrow-Geom-LUT’ and ‘NoConnection-Geom-LUT’ sheets. 2.Point-extract: This contains all the ‘no connection’ points from the ‘Values connectivity’ dataset. This was saved as working/ GBR_NESP-TWQ-3-3-3_Seascape-connectivity_no-con-pt.csv and used by the QGIS maps to draw all the crosses on the maps. This table is created by copy and pasting (values only) the ‘1-Vertical-data’ sheet when the ‘NoLinkGeom’ attribute is used to filter out all line features, by unchecking blank rows in the ‘NoLinkGeom’ filter. 2.Line-extract: This contains all the ‘connections’ between regions from the ‘Values connectivity’ dataset. This was saved as working/GBR_NESP-TWQ-3-3-3_Seascape-connectivity_arrows.csv and used by the QGIS maps to draw all the arrows on the maps. This table is created by copy and pasting (values only) the ‘1-Vertical-data’ sheet when the ‘LinkGeom’ attribute is used to filter out all point features, by unchecking blank rows in the ‘LinkGeom’ filter. Map-Atlas-Settings: This contains the metadata for each of the maps generated by QGIS. This sheet was exported as working/GBR_NESP-TWQ-3-3-3_Seascape-connectivity_map-atlas-settings.csv and used by QGIS to drive its Atlas feature to generate one map per row of this table. The AttribID is used to enable and disable the appropriate connections on the map being generated. The WKT attribute (Well Known Text) determines the bounding box of the map to be generated and the other attributes are used to display text on the map. map-image-metadata: This table contains metadata descriptions for each of the value attribute maps. This metadata was exported as a CSV and saved into the final generated JPEG maps using the eAtlas Image Metadata Editor Application

The entire Vermont extent of the National Flood Hazard Layer (NFHL) as acquired 12/15/15 from the FEMA Map Service Center msc.fema.gov upon publication 12/2/2015 and converted to VSP.The FEMA DFIRM NFHL database compiles all available officially-digitized Digital Flood Insurance Rate Maps. This extract from the FEMA Map Service Center includes all of such data in Vermont including counties and a few municipalities. This data includes the most recent map update for Bennington County effective 12/2/2015.DFIRM - Letter of Map Revision (LOMR) DFIRM X-Sections DFIRM Floodways Special Flood Hazard Areas (All Available)

An Image Service of select Alaska Geologic raster map images. These geologic maps are scanned hardcopy maps or direct raster exports from GIS. The raster images are stored as TIFFs typically at 300 dpi which results in an average raster cell size of ~30 meters. If required TIFFs are georeferenced within ArcPro with their native coordinate system. Each raster is added to a mosaic dataset which converts all rasters into Albers Equal Area Projection, and then referenced in this Image Service. This Image Service clips all map rasters to the main map portion of each map. To view an Image Service of geologic maps with full collars, see the Alaska Geologic Maps Images with collars Image Service instead.Key Field include:ZOrder: field that is used as the default drawing over. Larger values draw first.Map_type: general map classification; Geologic, Bedrock, Surficial, Permafrast, Engineering Geologic.url: link the DGGS citation page for the map.citation_id: reference id for the map’s citation that can be used to relate the map index record for this map.Numerous other fields that are copies of the DGGS map Index Record are included as well. To view the map index feature service, see: the Map Index feature service.For question contact the Alaska DGGS GIS group.

Here we provide the data products from publications:

Clark, C.J.R., et al., The Quest for the Missing Dust: I – Restoring Large Scale Emission in Herschel Maps of Local Group Galaxies, ApJ 921 35

Clark, C.J.R., et al., The Quest for the Missing Dust: II – Two Orders of Magnitude of Evolution in the Dust-to-Gas Ratio Resolved Within Local Group Galaxies, submitted for publication in ApJ

This data concerns four Local Group galaxies: the Large Magellanic Cloud (LMC), the Small Magellanic Cloud (SMC), M31, and M33.

For each galaxy, we provide our new Herschel maps, as described in the above publications, which were combined in Fourier space ('feathered') with Planck, IRAS, and COBE data, in order to restore extended emission that was removed from previous Herschel reductions for these galaxies.

For each galaxy, we provide this new Herschel data for 5 Hershcel bands: the PACS 100 and 160 (\mu)m bands, and the SPIRE 250, 350, and 500 (\mu)m bands. This data is provided in FITS format, with one FITS file for each band for each galaxy. Each of these files contains 4 extensions. Extension 1 (IMAGE) provides the standard feathered map. Extension 2 (UNC) provides the uncertainty map. Extension 3 (MASK) provides a binary mask map indicating the portion of the data where reliable, fully-feathered high-resolution coverage is available. Extension 4 provides the foreground-subtracted version of the feathered map (FGND_SUB), the header of which also describes the uncertainty on that subtraction. All maps are in units of MJy/sr (except the MASK extension, which is boolean),

We also provide the outputs of our Spectral Energy Distribution (SED) fitting to this data, as described in the publications. For each galaxy, we provide FITS files giving the median value of each parameter in each pixel, and maps of the uncertainties on those medians (being the 68.3% quantile around the median). The parameters are dust mass surface density (Sigma_H.fits), dust temperature (Temp.fits), beta 1 (Beta-1.fits), beta 2 (Beta-2.fits), break wavelength (Break.fits), and 500 (\mu)m excess (Excess.fits). Each of these files contain 2 extensions. Extension 1 (median) provides the map of pixel parameter median values. Extension 2 (uncert) provides the map of uncertainties on those medians.

Additionally, we provide the full posterior probability distribution for all SED parameters, consisting of 1000 posterior samples, for all pixels, in the form of a FITS file containing a 4-dimensional hypercube, with axes corresponding to right ascension, declination, parameters (in order: dust mass surface density, dust temperature, beta 1, beta 2, break wavelength, and 500 (\mu)m excess), and samples. This is provided as a gzip compressed FITS file for each galaxy.

Lastly, for each galaxy, we provide our maps of the hydrogen surface density (Sigma_H.fits), and dust-to-gas ratio (DtG.fits).

As of this writing (11/5/2010), this product had been issued by the IBEX team in two releases. Release 1 IBEX-Hi map data are superseded by Release 2 data which are more time-extensive (12 months vs. 6 months) and are richer in content. While Release 1 IBEX-Hi map data and their documentation remain accessible at ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/digital_data/release_1/ and ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/images/release_1/, this description supports the retrieval and use of Release 2 data only.

The Release_2 IBEX-Hi map data contain all-sky 6 deg x 6 deg resolution maps in J2000 ecliptic coordinates of energetic neutral fluxes reaching the near-Earth IBEX spacecraft from the distant heliosphere and heliosheath. Maps are in both a spacecraft frame and, via Compton-Getting corrections, a heliospheric frame. Basic maps are each accumulated over 6-months duration, so far for epochs 1 (12/2008-06/2009) and 2 (06/2009-12/2009). Maps are available for five of the energy bands of IBEX-Hi (0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV) and, for the heliospheric frame only, also for six monoenergetic points (0.71, 1.11, 1.74, 2.73, 3.0, 4.29 keV). In addition, monoenergetic maps are available as summed over the data collected during epochs 1 and 2 combined. All maps are available in digital text format and in PNG image format (considered as separate data sets within VEPO).

Given that VHO/VEPO typically displays clickable granule (file) names for any given specification of data product and time span, and given that IBEX-Hi digital maps and PNG-formatted display maps are each considered single data products, a request for data from either product will yield .GE.20 names of files containing data spanning or within the requested time span. For IBEX, the names shown by VHO/VEPO actually have the form subdirectory/filename. The subdirectories are named map1, map1cg, map2, map2cg, and map-combined. Maps involving "1" ("2") are from the first (second) 6-month epoch, while "combined" means composed of data taken during epochs 1 and 2. Maps involving (not involving) "cg" means heliospheric frame (spacecraft frame). In the first four subdirectories, file names are of the forms ha60.hide-trp-flux100-hi-N-flux.ext and ha60.hide-trp-mono_80-P.PP-flux.ext, where "ext" is "png" or "txt" according to which product is requested, N is the energy step number for the IBEX-Hi instrument (2-6), P.PP is the energy level, in keV, of a monoenergetic flux. Files in the "combined" subdirectories are named "combined-P.PP-flux.ext, where P.PP has the same meaning as above.

In addition to the flux maps to which VEPO provides access, several map files whose data support the determination of the fluxes are also available in the underlying nssdcftp directories and are described by aareadme files there (and by IBEX web pages at SWRI: http://ibex.swri.edu/ibexpublicdata/Data_Release_2/)

This dataset comprises 2 collections of maps. The facsmile collection contains all the marginalia information from the original map as well as the map itself, while the georectified collection contains just the map with an associated index for locating them. Each collection comprises approximately 101 000 monochrome images at 6-inch (1:10560) scale. Each image is supplied in .tiff format with appropriate ArcView and MapInfo world files, and shows the topography for all areas of England, Wales and Scotland as either quarter or, in some cases, full sheets. The images will cover the approximate epochs 1880's, 1900's, 1910's, 1920's and 1930's, but note that coverage is not countrywide for each epoch. The data was purchased by BGS from Sitescope, who obtained it from three sources - Royal Geographical Society, Trinity College Dublin and the Ordnance Survey. The data is for internal use by BGS staff on projects, and is available via a customised application created for the network GDI enabling users to search for and load the maps of their choice. The dataset will have many uses across all the geoscientific disciplines across which BGS operates, and should be viewed as a valuable addition to the BGS archive. There has been a considerable amount of work done during 2005, 2006 and 2007 to improve the accuracy of the OS Historic Map Collection. All maps should now be located to +- 50m or better. This is the best that can be achieved cost effectively. There are a number of reasons why the maps are inaccurate. Firstly, the original maps are paper and many are over 100 years old. They have not been stored in perfect condition. The paper has become distorted to varying degrees over time. The maps were therefore not accurate before scanning. Secondly, different generations of maps will have used different surveying methods and different spatial referencing systems. The same geographical object will not necessarily be in the same spatial location on subsequent editions. Thirdly, we are discussing maps, not plans. There will be cartographic generalisations which will affect the spatial representation and location of geographic objects. Finally, the georectification was not done in BGS but by the company from whom we purchased the maps. The company no longer exists. We do not know the methodology used for georectification.

As of this writing (11/5/2010), this product had been issued by the IBEX team in two releases. Release 1 IBEX-Hi map data are superseded by Release 2 data which are more time-extensive (12 months vs. 6 months) and are richer in content. While Release 1 IBEX-Hi map data and their documentation remain accessible at ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/digital_data/release_1/ and ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/images/release_1/, this description supports the retrieval and use of Release 2 data only.

The Release_2 IBEX-Hi map data contain all-sky 6 deg x 6 deg resolution maps in J2000 ecliptic coordinates of energetic neutral fluxes reaching the near-Earth IBEX spacecraft from the distant heliosphere and heliosheath. Maps are in both a spacecraft frame and, via Compton-Getting corrections, a heliospheric frame. Basic maps are each accumulated over 6-months duration, so far for epochs 1 (12/2008-06/2009) and 2 (06/2009-12/2009). Maps are available for five of the energy bands of IBEX-Hi (0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV) and, for the heliospheric frame only, also for six monoenergetic points (0.71, 1.11, 1.74, 2.73, 3.0, 4.29 keV). In addition, monoenergetic maps are available as summed over the data collected during epochs 1 and 2 combined. All maps are available in digital text format and in PNG image format (considered as separate data sets within VEPO).

Given that VHO/VEPO typically displays clickable granule (file) names for any given specification of data product and time span, and given that IBEX-Hi digital maps and PNG-formatted display maps are each considered single data products, a request for data from either product will yield .GE.20 names of files containing data spanning or within the requested time span. For IBEX, the names shown by VHO/VEPO actually have the form subdirectory/filename. The subdirectories are named map1, map1cg, map2, map2cg, and map-combined. Maps involving "1" ("2") are from the first (second) 6-month epoch, while "combined" means composed of data taken during epochs 1 and 2. Maps involving (not involving) "cg" means heliospheric frame (spacecraft frame). In the first four subdirectories, file names are of the forms ha60.hide-trp-flux100-hi-N-flux.ext and ha60.hide-trp-mono_80-P.PP-flux.ext, where "ext" is "png" or "txt" according to which product is requested, N is the energy step number for the IBEX-Hi instrument (2-6), P.PP is the energy level, in keV, of a monoenergetic flux. Files in the "combined" subdirectories are named "combined-P.PP-flux.ext, where P.PP has the same meaning as above.

In addition to the flux maps to which VEPO provides access, several map files whose data support the determination of the fluxes are also available in the underlying nssdcftp directories and are described by aareadme files there (and by IBEX web pages at SWRI: http://ibex.swri.edu/ibexpublicdata/Data_Release_2/)

Discover the convenience of our customized dataset preparation service, designed to meet your industry-specific and location-based requirements. When you request datasets tailored to your needs, we diligently gather, structure, and enrich the data with Local Pack insights, providing you with a comprehensive resource for strategic decision-making.

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A pre-configured, multi-layer web map for viewing all Total Winter Precipitation scenarios. (To launch the map from the Climate Change Open Data site, select "View Metadata" under the "About" heading, then look for the button labeled "Open in Map Viewer" to the upper right.) The map layers depict historical total winter (Oct-Mar) precipitation and projected changes in total winter precipitation. Geographic units: HUC10. Map layer data include historical (1970-1999) values plus two projections each for two future time periods, 2050s (2040-2069) and 2080s (2070-2099), based on lower and higher greenhouse gas emission scenarios, RCP 4.5 and RCP 8.5. Data classes and symbology by Robert Norheim, Climate Impacts Group, based on the CMIP5 projections used in the IPCC 2013 report. Data source: Mote et al. 2015.

This document data set contains original prints, on paper, sepia or film, of seismic reflection survey location (navigation) maps. These provide the location data for the seismic sections of the Original Seismic Sections (ORIGSEISECS) and Copy Seismic Sections (COPYSEISECS) datasets. Almost all data are within the UK onshore area; although there are some UK near-shore and offshore (North Sea, Irish Sea) and foreign data. Most data were acquired for commercial hydrocarbon exploration and subsequently provided to BGS for use on specific projects. Some data were acquired by BGS and other public-sector bodies, e.g. BIRPS, for academic research. All maps are digitised upon receipt (see LOCSEC database) and then archived in this data set. (Copies used to be used for interpretation purposes but this is no longer the case.) Documents stored rolled in tubes. Approx 800 maps.

This table contains the SCUBA Legacy Catalogs, two comprehensive sets of source catalogs using data at 850 and 450um of the various astronomical objects obtained with the Submillimetre Common User Bolometer Array (SCUBA) on the James Clerk Maxwell Telescope (JCMT). The Fundamental Map Data Set contains data only where superior atmospheric opacity calibration data were available. The Extended Map Data Set contains data regardless of the quality of the opacity calibration. Each data set contains 1.2 degrees x 1.2 degrees maps at locations where data existed in the JCMT archive, imaged using the matrix inversion method. The Fundamental Data Set is composed of 1423 maps at 850um and 1357 maps at 450um. The Extended Data Set is composed of 1547 maps at 850um. Neither data set includes high sensitivity, single-chop SCUBA maps of "cosmological fields" nor solar system objects. Each data set was used to determine a respective object catalog, consisting of objects identified within the respective 850um maps using an automated identification algorithm. The Fundamental and Extended Map Object Catalogs contain 5061 and 6118 objects, respectively. Objects are named based on their respective J2000.0 position of peak 850um intensity. The catalogs provide for each object the respective maximum 850um intensity, estimates of total 850um flux and size, and tentative identifications from the SIMBAD Database. Where possible, the catalogs also provide for each object its maximum 450um intensity and total 450um flux and flux ratios. Since the goal of this project was to make maps and then catalog objects therein, all raw jiggle and scan data from SCUBA available in the JCMT archive were downloaded from the CADC in 2006 May. (Photometry and polarimetry data were ignored.) A full description of the instrumental characteristics of SCUBA was made by Holland et al. (1999MNRAS.303..659H). All maps are available at http://www3.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/community/scubalegacy/ This table was created by the HEASARC in December 2010 based on CDS catalog J/ApJS/175/277 files table2.dat and table3.dat. This is a service provided by NASA HEASARC .

This service contains all topographic maps of the state of North Rhine-Westphalia. From the NRW Overview and the DNRW250 to the topographic maps TK100, TK50, DTK25, DTK10 and ALKIS, all these maps are combined in one layer in this service. The preset scale ranges ensure that the ideal map is presented on every scale. This service was built according to the GDI-DE and AdV profile for WMS services and can be combined with the services of neighbouring countries. Possibilities of use: The WMS service connects all topographic maps of North Rhine-Westphalia in one service. Thus, the service is the ideal background for specialist applications from all areas when it comes to always providing the appropriate topographic map as background information via a large scale range. The grayscale variant is particularly suitable for this task, because colored technical data can be easily distinguished from the grayscale background information. The scale range 1:50000 is shown in black and white. This service contains all topographic maps of the state of North Rhine-Westphalia. From the NRW Overview and the DNRW250 to the topographic maps TK100, TK50, DTK25, DTK10 and ALKIS, all these maps are combined in one layer in this service. The preset scale ranges ensure that the ideal map is presented on every scale. This service was built according to the GDI-DE and AdV profile for WMS services and can be combined with the services of neighbouring countries. Possibilities of use: The WMS service connects all topographic maps of North Rhine-Westphalia in one service. Thus, the service is the ideal background for specialist applications from all areas when it comes to always providing the appropriate topographic map as background information via a large scale range. The grayscale variant is particularly suitable for this task, because colored technical data can be easily distinguished from the grayscale background information. The scale range 1:50000 is shown in black and white. This service contains all topographic maps of the state of North Rhine-Westphalia. From the NRW Overview and the DNRW250 to the topographic maps TK100, TK50, DTK25, DTK10 and ALKIS, all these maps are combined in one layer in this service. The preset scale ranges ensure that the ideal map is presented on every scale. This service was built according to the GDI-DE and AdV profile for WMS services and can be combined with the services of neighbouring countries. Possibilities of use: The WMS service connects all topographic maps of North Rhine-Westphalia in one service. Thus, the service is the ideal background for specialist applications from all areas when it comes to always providing the appropriate topographic map as background information via a large scale range. The grayscale variant is particularly suitable for this task, because colored technical data can be easily distinguished from the grayscale background information. The scale range 1:50000 is shown in black and white.

This series of cartographic quality printed 1:50 000 scale monochrome maps cover the provincial extent of Alberta comprised of 764 maps that are individually named using the National Topographic System (NTS) map sheet identifier. These maps display the Alberta Township System (ATS), hydrographic features, municipalities, roads, cutlines, facilities, pipelines, powerlines, railways, select geo-administrative features (parks, reserves, etc.). All maps contained within a 1:250 000 block (generally up to 16 map sheets) will be included in the NTS Block download.This series is not updated on a regular basis and may contain a range of publication dates.

The All Energy Infrastructure web mapping application is a map of all U.S. energy infrastructure that EIA has available in geospatial format. The map enables users to visualize the geospatial location of various energy infrastructure assets and explore attribute data on individual features. The data layers are developed by U.S. Energy Information Administration or from other publicly available data.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Large scale final map products were created within ArcMap and designed to show both the orthophoto coverage and the vegetation maps. For the vegetation maps, colors were assigned and the polygons labeled with the dominant vegetation and modifier and, where present, the second vegetation and modifier. For the orthophoto maps, the photos were simply plotted at the same scale and area coverage as the vegetation maps. Additional planimetric map data included roads, trails, hydrology, boundaries and a UTM coordinate grid. Legends are designed to provide full definitions of the vegetation and buffer classes and modifiers, as well as information about the park, map projection, data sources and authorship. All maps are projected to the Universal Transverse Mercator Coordinate System, North American Datum of 1984, in the local zone for the specific park Map information- Veg Classes: 35 Polygons: 7,907 Avg Polygon size(ha) 2.58 Map Scale: 1:26,000