Each pixel value corresponds to the difference (anomaly) between the mean “Best-Quality” Max-NDVI of the week specified (e.g. Week 18, 2000-2014) and the “Best-Quality” Max-NDVI of the same week in a specific year (e.g. Week 18, 2015). Max-NDVI anomalies < 0 indicate where weekly Max-NDVI is lower than normal. Anomalies > 0 indicate where weekly Max-NDVI is higher than normal. Anomalies close to 0 indicate where weekly Max-NDVI is similar to normal.

This dataset represents the location of the North American Central Plains conductivity anomaly of the Province of Saskatchewan.This dataset represents the location of the North American Central Plains conductivity anomaly of the Province of Saskatchewan. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

Electromagnetic anomalies represent anomalies resulting from aerial geophysical surveys.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Border crossings of electric transmission lines. Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)

Surveyed Condominium are Real Property Object representing the spatial extents of a condominium or apartment unit to which rights or interests can be registered. Condominium common areas are not included within this definition. Common areas are not spatially represented within the ICM Database. Condominium units must be associated to a Land Parcel.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Estimates of wind-driven upwelling of colder water on the Scotian Shelf along the Nova Scotia coastline from 1993 to 2022 (inclusive) are presented, calculated using surface and 55m-depth water temperatures from the Global Ocean Physics Reanalysis (GLORYS12v1) product, and also ERA5 surface winds. GLORYS12v1 is a 1/12o data-assimilative reanalysis modelling product from Mercator Ocean International, implemented by the Copernicus Marine Environment Monitoring Service (CMEMS; (https://doi.org/10.48670/moi-00021). ERA5 is a weather forecast produced by the European Centre for Medium-Range Weather Forecasts (ECMWF; https://doi.org/10.24381/cds.adbb2d47). Daily estimates are given of upwelling area and intensity (temperature anomaly between upwelled and non-upwelled water), calculated over the area of interest (AOI) on the Scotian Shelf. Yearly estimates are given of total upwelling duration and cumulative area for the year in question, further broken down into seasons: Spring (March-May), Summer (June-August), and Fall (September-November). Lastly, estimates of the yearly start/end dates of the cold-water upwelling season (lasting generally from March to November) are estimated. The sea surface temperature (SST) data from GLORYS were validated against in-situ buoy observations (https://www.meds-sdmm.dfo-mpo.gc.ca/alphapro/wave/waveshare/metaData/meta_c44258.csv) and satellite-derived SST produced by Canadian Meteorological Centre (https://doi.org/10.5067/GHCMC-4FM02 and https://doi.org/10.5067/GHCMC-4FM03. These products may be used to gain knowledge of interannual variability of coastal upwelling on the ScS over the past 30 years.Cite this data as: Tao, J., Casey, M., Lu, Y., and Shen, H. Upwelling indices derived from GLORYS12 Model and ERA5 surface wind on the Scotian Shelf during 1993-2022.Published: December 2024. Ecosystems and Oceans Science, Maritimes region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/a2da6bfd-92e3-434e-b9bd-456b7fc9e92b

Stratagex Ltd was contracted by the AGS in 2001 to compile a catalogue of all existing ground and airborne geophysical survey data contained in the archived mining assessment reports of the AGS, supplemented where possible with information on non-exclusive and proprietary surveys from exploration industry and other sources. This data set shows the airborne survey locations and detailed information about the survey including: Type of survey flown [fixed wing or helicopter. barometric (constant elevation) or drape (topographic contour following), Year of data acquisition and contractor, Description of the system flown [any one or combination of magnetics, VLF-EM, radiometrics, time domain electromagnetics (TDEM), frequency domain electromagnetics (FEM)]., Survey specifications (flying height, line direction, line separation, tie line spacing and direction), Location of the survey (corner co-ordinates of the survey area in UTM and latitude and longitude), Outline of the actual survey coverage (plan map of survey block outline on planimetric base), Owner of the data at time of acquisition (and contact person if available), Assessment of data quality (where possible, based on the maps or profiles made available by the Contractor/Mining Company who holds the data), Availability of the data for use or acquisition by the AGS (for compilation, resale, in-house research), Media and format that data is available on (paper, digital images, raw digital data, etc.), Asking price for acquiring the data (if available) and the conditions under which it would be made available.

The Yukon is underlain by a great variety of rock types ranging in age from Early Proterozoic to Recent. The various rock types are characterized by different densities and this map show those variations at the regional scale, with dense rocks represented by warm colours and lighter rocks shown in cool colours.This Bouguer gravity map was compiled by Nathan Hayward, Geological Survey of Canada. Data used in this Bouguer gravity compilation, gridded at 2 km, are from ground-based, regional (\~10 km station spacing) gravity surveys acquired by the Geological Survey of Canada and high-resolution (\~2 km station spacing) surveys acquired for the Yukon Geological Survey. All surveys are reduced to a Bouguer density of 2670 kg/m3 and statically levelled to the regional data.Corresponding regional gridded data can be downloaded, at no charge, from Natural Resources Canada's Geoscience Data Repository for Gravity Data at [http://gdrdap.agg.nrcan.gc.ca/](http://gdrdap.agg.nrcan.gc.ca/) . High-resolution gravity data can be downloaded from the Yukon Geological Survey at [https://data.geology.gov.yk.ca/](https://data.geology.gov.yk.ca/)Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This map presents an interpretation of the bedrock geology of the Livingstone Creek area that has been revised from a previous Open File map (YGS OF2005-9). The revised interpretation was guided by the acquisition of a detailed VTEM Plus geophysical survey over the area in spring 2016 (YGS OF2016-34 and 35; 200 m line spacing). The detailed magnetic data were particularly useful for increasing the accuracy of contact locations, and identifying additional structures. The electromagnetic survey identifies a number of conductors across the area, some of which remain unexplained (see Colpron et al. in YEG 2016 for discussion). Bedrock exposure is locally hindered by Quaternary glacial and fluvial sediments, particularly in the South Big Salmon valley. Projection of the geology is guided by the geophysics in areas of extensive cover.

Distribution (range) polygons were assembled by regional SARA biologists using the best available information, including COSEWIC status reports, recovery potential assessments, academic literature, and expert opinion. These spatial data support the protection, recovery and conservation of species listed as Extirpated, Endangered, Threatened or Special Concern under SARA. Species distributions are also described and displayed in Recovery Strategies, Action Plans and/or Management Plans. Discrepancies may exist between the distribution data shown in a species SARA recovery document and the current spatial data. Please contact DFO for more information on any data discrepancies. Please refer to the metadata included with the data for full entity attribute information