Many geometrical schemes - or map projections - are used to represent the curved surface of the Earth on map sheets. Canada uses the Universal Transverse Mercator (UTM) system. It is called transverse because the strips run north-south rather than east-west along the equator. This data class shows a 5 km x 5 km grid coordinate system based on the UTM projection using the North American Datum 83 (NAD83). It includes a UTM Map Sheet Number.

Many geometrical schemes - or map projections - are used to represent the curved surface of the Earth on map sheets. Canada uses the Universal Transverse Mercator (UTM) system. It is called transverse because the strips run north-south rather than east-west along the equator. This data class shows a 1 km x 1 km UTM NAD83 grid that is a standard reference index for Ontario. It includes: * Military Grid Reference * Fire Base Map identifier * Fire Base Map Block * Atlas identifier

This layer presents the Universal Transverse Mercator (UTM) zones of the world. The layer symbolizes the 6-degree wide zones employed for UTM projection.To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World UTM Zones Grid.

Reference map of the Northwest Territories showing UTM Zones, NTS grids and Communities.

World UTM Zones represents the Universal Transverse Mercator (UTM) Zones of the world. Distributed from GeoYukon by the Government of Yukon . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: geomatics.help@yukon.ca

Portions of Universal Transverse Mercator Zones 7 - 12 which cover British Columbia, Northern Hemisphere only, formed into polygons, in BC Albers projection

Reference map of the Northwest Territories showing UTM Zones, NTS grids and Communities.

The Hot Spot Regions of Permafrost Change (HRPC) product maps changes in surface characteristics using the full Landsat archive (TM, ETM+, OLI) for the peak summer season (July, August) from 1999 to 2014. The HRPC products provide trends of multi-spectral indices such as Tasselled Cap brightness, greenness, wetness and normalized indices (NDVI, NDWI, NDMI) in 4 regional transects spanning the panarctic permafrost domain. Changes in indices can be linked to both gradual (press disturbance) and rapid (pulse disturbances) land surface changes. Press disturbances are for example shrub expansion, wetting, drying, or active layer deepening. Pulse disturbances include thermokarst and thermo-erosion, lake formation, expansion, and shrinkage, erosion, or wildfires.

All products are spatially organized into three different levels: Transects, Zones and Blocks. HRPC maps are available for four transects: T1 Western Siberia, T2 Eastern Siberia, T3 Alaska, and T4 Eastern Canada. Each transect is subdivided into zones, which correspond to their respective UTM Zones e.g. zones Z051 and Z052 for T2 Eastern Siberia. Due to the large data size, the zones are further subdivided into smaller tiles of 2° latitude (e.g. 64°N to 66°N) and the full width of the UTM zone within the respective transect.

More information on image processing, trend analysis and interpretation can be found in the product guide.

The Hot Spot Regions of Permafrost Change (HRPC) product maps changes in surface characteristics using the full Landsat archive (TM, ETM+, OLI) for the peak summer season (July, August) from 1999 to 2014. The HRPC products provide trends of multi-spectral indices such as Tasselled Cap brightness, greenness, wetness and normalized indices (NDVI, NDWI, NDMI) in 4 regional transects spanning the panarctic permafrost domain. Changes in indices can be linked to both gradual (press disturbance) and rapid (pulse disturbances) land surface changes. Press disturbances are for example shrub expansion, wetting, drying, or active layer deepening. Pulse disturbances include thermokarst and thermo-erosion, lake formation, expansion, and shrinkage, erosion, or wildfires.

All products are spatially organized into three different levels: Transects, Zones and Blocks. HRPC maps are available for four transects: T1 Western Siberia, T2 Eastern Siberia, T3 Alaska, and T4 Eastern Canada. Each transect is subdivided into zones, which correspond to their respective UTM Zones e.g. zones Z051 and Z052 for T2 Eastern Siberia. Due to the large data size, the zones are further subdivided into smaller tiles of 2° latitude (e.g. 64°N to 66°N) and the full width of the UTM zone within the respective transect.

More information on image processing, trend analysis and interpretation can be found in the product guide.

This is a georeferenced raster image of a printed paper map of the Ignace, Ontario region (Sheet No. 052G05), published in 1977. It is the second edition in a series of maps, which show both natural and man-made features such as relief, spot heights, administrative boundaries, secondary and side roads, railways, trails, wooded areas, waterways including lakes, rivers, streams and rapids, bridges, buildings, mills, power lines, terrain, and land formations. This map was published in 1977 and the information on the map is current as of 1975. Maps were produced by Natural Resources Canada (NRCan) and it's preceding agencies, in partnership with other government agencies. Please note: image / survey capture dates can span several years, and some details may have been updated later than others. Please consult individual map sheets for detailed production information, which can be found in the bottom left hand corner. Original maps were digitally scanned by McGill Libraries in partnership with Canadiana.org, and georeferencing for the maps was provided by the University of Toronto Libraries and Eastview Corporation. EPSG Code: NAD27 / UTM zone 15N (EPSG:26715)

This dataset contains LiDAR-derived elevation products for the Minnesota portion of the Red River of the North Basin. The Minnesota Department of Natural Resources (DNR) processed the data to make it consistent with other LiDAR data available in Minnesota, including converting it to UTM Zone 15 coordinates and tiling to 3.25 square mile blocks based on 1/16 of a standard USGS 1:24,000 quadrangle.

Data covers the following Minnesota counties: Becker, Beltrami, Big Stone, Clay, Clearwater, Grant, Kittson, Koochiching (northern portion), Lake of the Woods, Mahnomen, Marshall, Norman, Otter Tail, Pennington, Polk, Red Lake, Roseau, Stevens, Traverse, Wilkin. Products included are: One- and three-meter DEMs, one- and three-meter hillshades, and two-foot contours, plus a tile index map for each county. Since breaklines were not available for all of the Minnesota portion of the basin, the data has not been hydro-flattened.

The original data was provided by the International Water Institute (IWI) and the United States Geological Survey. IWI's Red River Basin Mapping Initiative acquired a highly accurate digital elevation model (DEM) for the Red River of the North Basin south of the U.S./Canada border in UTM Zone 14 coordinates.

Note: This metadata record was created at the Minnesota Geospatial Information Office by combining information from the IWI and DNR.

Data and derived products used in Rutishauser et al., “Radar sounding survey over Devon Ice Cap indicates the potential for a diverse hypersaline subglacial hydrological environment”, accepted for publication, The Cryosphere, https://doi.org/10.5194/tc-2021-220

Corresponding author: rutishauser.anja@gmail.com

Description of datasets:

2018_DIC_UTIG.IR2HI1B.kml

Geolocation of the SRH1 profile lines. Coordinates in EPSG: 4326 - WGS 84 (latitude, longitude)

2018_DIC_UTIG.IR2HI1B.tgz

HiCARS 2 L1B echo strength profiles (radargrams) in NetCDF format. The naming of the files has the structure IR2HI1B_YYYYDOY_PST_x (e.g. IR2HI1B_2018153_DEV_JKB2t_Y87b_000.nc), where YYYY is the survey year (e.g. 2018), DOY is the survey day of the year (e.g. 153), PST is the profile name (e.g. DEV_JKB2t_Y87b), and x is the segment number if the profile was split in two (e.g. 000).

For each profile, a PDF file showing the profile location and the radargram is included.

2018_DIC_UTIG.Level2.tgz

Level 2 datasets for each profile, organized in the following folders:

2018_DIC_UTIG.ILUTP2: Laser altimeter geolocated surface elevation

2018_DIC_UTIG.IR2HI2: HiCARS 2 unfocused (pik1) geolocated ice thickness, ice surface elevation, bed elevation, surface- and bed reflection coefficients, and aircraft roll

2018_DIC_UTIG.IRHFOC2: HiCARS 2 focused (foc1) geolocated ice thickness, ice surface elevation, bed elevation, surface- and bed reflection coefficients, and aircraft roll

2018_DIC_UTIG.IRSPC2: HiCARS 2 derived basal interface specularity content

Devon_basal_ice_temperature.tif: Modeled basal ice temperature [ºC] using a 1D advection diffusion model. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_bedrockDEM.tif: Digital elevation model (DEM) of the bedrock topography beneath Devon Ice Cap [m asl.]. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_gridded_RMSD_bedrock.tif: Root mean square deviation (RMDS) of the bedrock topography [m]. The RMSD was computed along each profile line, then interpolated on a 500x500m grid using the QGIS GDAL moving average grid interpolation. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_gridded_specularity.tif: Specularity content from along the profile lines interpolated on a 500x500m grid using the QGIS GDAL moving average grid interpolation. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_ice_thickness.tif: Gridded ice thickness [m] generated by subtracting the bedrock DEM from ice surface elevations derived from the ArcticDEM, Polar Geospatial Center from DigitalGlobe Inc. imagery. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_modeled_Geology.zip

Devon_modeled_subglacial_geology.tif: Map of the projected geological units beneath Devon Ice Cap. The assigned numbers correspond to the following geological units: 1: pPe, 2: Cm-cf, 3: Oe, 4: Ocb, 5: Oct. Details on the geological units can be found in (Harrison et al., 2016; Mayr, 1980; Thorsteinsson & Mayr, 1987). 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

{pPe, Oe, Oct, Ocb,Cm_rb}_Model.stl: 3D geometry of the modeled geological units beneath Devon Ice Cap, originally published in (Rutishauser et al., 2018). Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_load_geology_stl_files.py: Python script to load and plot the 3D geology layers in the .stl files.

Devon_subgl_hydraulic_head.tif: Subglacial hydraulic head [m] beneath Devon Ice Cap. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_subgl_hydraulic_slope.tif

Slope [º] of the subglacial hydraulic head beneath Devon Ice Cap. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_subgl_lakes_brine_network.zip

Devon_subgl_lake_outline.shp: Shoreline of the subglacial lakes beneath Devon Ice Cap (identified in this study). Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_brine_network_outline.shp: Outlines of the mapped subglacial brine network beneath Devon Ice Cap. Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_subgl_water_routes.zip

Devon_modeled_subgl_water_routes_{1, 2, 3}std.tif: Modeled subglacial water routes derived via application of a flow accumulation algorithm to the hydraulic head. The model is run 1000 times with normally distributed random errors of 1, 2 and 3 standard deviations of the hydraulic head uncertainty added to the hydraulic head (represented in the file name). Pixel values represent the model counts for which the cell has a minimum of 10 upstream cells draining into it. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

Devon_extracted_subgl_water_routes.shp: Modeled subglacial water routes derived via the application of a flow accumulation algorithm to the hydraulic head. Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.

SpecularityJustification.zip

Jupyter notebook and example datafile to show the justification for the chosen specularity threshold of 0.4 for declaring a detection of possible subglacial water.

Acknowledgments

The aerogeophysical survey and subsequent standard data processing were funded by the Weston Family Foundation. We also thank the G. Unger Vetlesen Foundation and the UTIG Postdoctoral Fellowship program who provided further funding for data analysis. M.L.S. was partially supported by NASA NNX16AJ64G and NASA 80NSSC20K1134. We thank PCSP and Kenn Borek Air Ltd. for logistical support, and the Nunavut Research Institute and the peoples of Grise Fjord and Resolute Bay for permission to conduct airborne surveys over Devon Ice Cap. Finally, we thank Scott Kempf for assistance with data processing, and Sam Christian and Miguel Liu-Schiaffini for help with radar reflection picking.

References

Harrison, J. C., Lynds, T., Ford, A., & Rainbird, R. H. (2016). Geology, simplified tectonic assemblage map of the Canadian Arctic Islands, Northwest Territories - Nunavut. Geological Survey of Canada, Canadian Geoscience, Map 80. https://doi.org/10.4095/297416

Mayr, U. (1980). Stratigraphy and correlation of lower Paleozoic formations, subsurface of Bathurst Island and adjacent smaller islands, Canadian Arctic Archipelago. Geological Survey of Canada, Bulletin, 306. https://doi.org/10.4095/102157

Rutishauser, A., Blankenship, D. D., Sharp, M., Skidmore, M. L., Greenbaum, J. S., Grima, C., Schroeder, D. M., Dowdeswell, J. A., & Young, D. A. (2018). Discovery of a hypersaline subglacial lake complex beneath Devon Ice Cap, Canadian Arctic. Science Advances, 4(4), eaar4353. https://doi.org/10.1126/sciadv.aar4353

Thorsteinsson, R., & Mayr, U. (1987). The sedimentary rocks of Devon island, canadian arctic archipelago. https://doi.org/10.4095/122451

This data covers the entire Far North from 2005-2011.

The data is provided in both grid and vector formats. It is broken into layers that cover UTM zones 15, 16 and 17. Layers representing each level of the classification hierarchy described in the data specs have been provided:

• class
• group
• section

Can be used to create a consistent map to meet regional - to landscape level analysis (1:100,000).

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

Flight-line data release for a helicopter electromagnetic (HEM) and magnetic geophysical survey flown in early December 2003, in Northern Bexar County, Texas. The U.S. Geological Survey (USGS) contracted the survey to Fugro Airborne of Toronto, Canada. Data include coordinates in UTM zone 14 meters, longitude and latitude WGS84, and latitude and longitude (degrees, minutes, and decimal seconds) NAD27.

Geology is based on field work by Peter R. Dawes in 1971, 1975 and 1978. Compiled with photointerpretation 1988–89, with local revision based on field work in 2001. The coast was surveyed by boat with sporadic foot traverses, aided by helicopter in 1978 and 2001. GIS compilation: Katja T. Walentin, Samuel P. Jackson, Eva Willerslev and Mette S. Jørgensen. Cross section: Martin Sønderholm. Editorial handling: Thomas F. Kokfelt and Martin Sønderholm. Reviewed by John Grocott (Durham University, United Kingdom) and Marc R. St-Onge (Geological Survey of Canada). Detailed information on the map units is available in the GEUS Greenland Intrusive and Stratigraphic Database using the GU-codes shown in brackets in the legend (https://doi.org/10.22008/FK2/F9MBNJ). Information on mineral occurrences is available in the Greenland Mineral Resources Portal (https://www.greenmin.gl). Topographic base: Geodetic Institute maps at 1:200 000 from 1954 with major revision of the ice margin and glaciers based on 1:150 000 aerial photographs from 1985–1987 and Sentinel 2 satellite scenes from 2019. All heights are in metres. Additional lake heights are from the Danish Agency for Data Supply and Infrastructure (now the Danish Agency for Climate Data): Højdemodel Grønland (https://dataforsyningen.dk/data/4780, accessed September 2023). Ground exposed by ice retreat since initial compilation in 1988–1989 is identified in the legend. 1949 ice margins are from Geodetic Institute maps. Ice margins recorded during expeditions by Robert E. Peary in 1892 and Lauge Koch in 1922 are approximate. Ice altimetry and thickness are based on data from Morlighem et al. (2017), bathymetry is from Morlighem et al. (2022). Landslides are modified from GEUS internal data, for methodology see Svennevig (2019). Authorised place names are from Oqaasileriffik (The Language Secretariat of Greenland), with supplementary names from Laursen (1972). Projection: WGS 84 UTM Zone 20N. Copyright © Geological Survey of Denmark and Greenland. References: Dawes, P.R. 1997: The Proterozoic Thule Supergroup, Greenland and Canada: history, lithostratigraphy and development. Geology of Greenland Survey Bulletin 174, 150 pp. https://doi.org/10.34194/ggub.v174.5025 Dawes, P.R. 2006: Explanatory notes to the Geological map of Greenland, 1:500 000, Thule, Sheet 5. Geological Survey of Denmark and Greenland Map Series 2, 97 pp. + map sheet. https://doi.org/10.34194/geusm.v2.4614 Laursen, D. 1972: The place names of North Greenland. Meddelelser om Grønland 180(2), 443 pp. + 18 plates. Morlighem, M. et al. 2017: BedMachine v3 [Surface; Thickness]: Complete bed topography and ocean bathymetry mapping of Greenlandfrom multibeam echo sounding combined with mass conservation. Geophysical Research Letters 44, 11051–11061. https://doi.org/10.1002/2017GL074954 Morlighem, M. et al. 2022: IceBridge BedMachine Greenland, Version 5 [Bed]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/GMEVBWFLWA7X (accessed January 2024). Svennevig, K. 2019: Preliminary landslide mapping in Greenland. Geological Survey of Denmark and Greenland Bulletin 43,e2019430207. https://doi.org/10.34194/GEUSB-201943-02-07 Thomassen, B., Krebs, J.D. & Dawes, P.R. 2002: Qaanaaq 2001: mineral exploration in the Olrik Fjord – Kap Alexander region, North-West Greenland. Danmarks og Grønlands Geologiske Undersøgelse Rapport 2002/86, 72 pp. + map. https://doi.org/10.22008/gpub/18491

YukonAge 2004 is an MS-Access based database containing all reported non-proprietary isotopic age determinations for bedrock units within the Yukon Territory. This is the 3rd in a series of YukonAge compilations. It contains 1566 age determinations from 1166 rock samples, summarizing 185 published articles, theses or unpublished reports. The data is fully relational, and may be queried by the user on the basis absolute age (in Ma), location (NTS mapsheet, terrane polygon, or decimal lat-long, as specified by the user) or source (e.g. author, journal title, etc.). The product is not stand-alone; the end user must install Microsoft Access, version 2000 or XP (2002). The database consists of 3 linked tables: 1) a rock table, which contains one record for each sample dated; 2) an age table, containing one record for each age determination reported; and 3) a sources table, containing one record for each report containing ages. Each entry includes the following information 1. Internal database reference number(s); 2. Age and error (in Ma); interpretation (meaning) of age; 3. Material dated, isotopic system used, and laboratory in which the sample was dated; 5. The rock type and geological unit (where this is known); 6. Reliability rating and comments; 7. Reference(s); and 8. Sample location (NTS map area, latitude/longitude, UTM zone/easting/northing).

description: An orthoimage (DOQ) is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, the natural color orthoimages were produced at 0.3-meter pixel resolution (approximately 1-foot). The design accuracy is estimated not to exceed 6 meter horizontal RMSE for locations within the United States. Each orthoimage provides imagery for a 1500-meter by 1500-meter block on the ground. The projected coordinate system is UTM with a NAD83 datum, spheroid GRS80. There is no image overlap between adjacent files. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. --------------------------- Note: This metadata record was created by the Minnesota Geospatial Information Office (MnGeo) based on the metadata provided by 3001, Inc. for individual Zone 14 tiles. It describes the layers that MnGeo created for its WMS service from the tiled dataset. ---------------------------; abstract: An orthoimage (DOQ) is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, the natural color orthoimages were produced at 0.3-meter pixel resolution (approximately 1-foot). The design accuracy is estimated not to exceed 6 meter horizontal RMSE for locations within the United States. Each orthoimage provides imagery for a 1500-meter by 1500-meter block on the ground. The projected coordinate system is UTM with a NAD83 datum, spheroid GRS80. There is no image overlap between adjacent files. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. --------------------------- Note: This metadata record was created by the Minnesota Geospatial Information Office (MnGeo) based on the metadata provided by 3001, Inc. for individual Zone 14 tiles. It describes the layers that MnGeo created for its WMS service from the tiled dataset. ---------------------------