This map service provides access to the Geophysical Survey Index datasets shown on the GeoAtlas application.**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. This map service provides access to the Geophysical Survey Index datasets shown on the GeoAtlas application. It will contain data related to Lithoprobe Lines, NATGAM Spectrometer and Aeromagnetic Survey Indexes data.

This map service provides access to the Geophysical Survey Index datasets shown on the GeoAtlas application.**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. This map service provides access to the Geophysical Survey Index datasets shown on the GeoAtlas application. It will contain data related to Lithoprobe Lines, NATGAM Spectrometer and Aeromagnetic Survey Indexes data.

This map service provides access to the Geophysical Survey Index datasets shown on the GeoAtlas application.**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. This map service provides access to the Geophysical Survey Index datasets shown on the GeoAtlas application. It will contain data related to Lithoprobe Lines, NATGAM Spectrometer and Aeromagnetic Survey Indexes data.

Regional stream sediment geochemical data compilationNovember 2020Release notesThe regional stream sediment geochemical data compilation comprises data for more than 30 000 samples across Yukon. This compilation updates the work of Héon (2003). This new compilation includes results from the reanalysis of more than 24 000 samples; inductively coupled plasma mass spectrometry (ICPMS) analysis provides upgraded detection limits and a broader range of elements relative to previous analytical data. In addition to analytical data, efforts have been made to improve sample location accuracy. The data in this release are organized by analytical method with the geodatabase having six feature classes:1. RGS_SITE_WATER - site specific physiography and water quality data. These data are unchanged from the original releases. 2. RGS_HEON - the same data as released in Héon (2003) with minor updates to sample location. 3. RGS_AAS - all samples analyzed by atomic absorption spectrometry. Most of these data are superseded by INAA and ICPMS data. 4. RGS_INAA - all samples analyzed by instrumental neutron activation analysis (INAA) and fire assay-neutron activation (FA-NA) analysis. 5. RGS_ICPMS - all samples analyzed by inductively coupled plasma mass spectrometry (ICPMS). 6. RGS_All - includes all AAS, INAA and ICPMS data. Collection of stream sediment samples in Yukon began in 1976 and ended in 2006. Three analytical methods have been used to analyze the minus 0.177 mm fraction (-80 mesh) of these samples: AAS, INNA (and FA-NA) and ICPMS. A simple description of each method is given below.For atomic absorption spectrometry (AAS) a 1 g aliquot is 'partially digested' using Lefort aqua regia or concentrated hot nitric acid. The digestion product is analyzed using an atomic absorption spectrometer. Oxide and silicate minerals are partially digested while some sulphide minerals are erratically volatilized. This means that AAS cannot be used to obtain accurate REE, Ta, Nb, As, Sb, Sn, Hg, Cr, or Au determinations.For instrumental neutron activation analysis ( INAA), aliquots of sieved sediment (the minus 0.177 mm fraction) or milled rock ranging from 5 to 40 g are encapsulated and irradiated in a nuclear reactor before counting the primary gamma radiation induced by the neutron irradiation with a high resolution germanium gamma ray detector. Fire assay-neutron activation (FA-NA) analysis is similar but includes a pre-concentration fire assay step prior to irradiation and analysis. Results for both INAA and FA-NA are similar to those for samples analyses by fusion or other total digestion techniques. Neutron activation detection limits are typically higher than those by acid digestion - ICPMS. Commodity and pathfinder elements such as Au, As, Sb and W have reasonable detection limits by INAA and the data generated are relatively precise.For ICPMS analysis, aliquots of sieved sediment ( the minus 0.177 mm fraction) ranging from 0.5 to 1 g are prepared using a partial digestion technique, typically aqua regia, followed by analysis of dissolution product by ICPMS. Sulphide minerals are completely oxidized and dissolved whereas most oxide and silicate minerals are only partially digested. This means that results produced by partial digestion methods are acceptable for elements such as Ag, As, Mo, Ni, Pb, Sb, Tl, and Zn but values for elements such as Al, Ba, Cr, Fe, P, Sn, Ti, Y, and Zr are likely to not reflect the actual element concentration in a sample. The sample size used for routine RGS sample analysis is too small be representative of Au in the original sample and thus Au by aqua regia digestion - ICPMS has poor precision.Further upgrades to this database are not anticipated. All samples that could be found in the GSC-Ottawa warehouse have been reanalyzed using ICPMS. Any errors or omissions in this database should be reported to the Yukon Geological Survey. Your feedback contributes to improving the accuracy of the geoscience databases for Yukon.Contact: [YGSMinerals@yukon.ca](mailto:YGSMinerals@yukon.ca) ; [geology@yukon.ca](mailto:geology@yukon.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 dataset provides the results obtained by Health Canada’s Radiological Monitoring Network (CRMN) for tritium content in atmospheric water vapor sampled from monitoring stations in Ontario, Quebec and New Brunswick. More information about the CRMN network can be found on the Health Canada website (see link below). The results provided are for tritium activity concentration, expressed in units of becquerels per cubic meter (Bq/m3). Atmospheric water is sampled monthly for determination of tritium content. The majority of such monitoring activity occurs in close proximity to nuclear power plants. Until 1996, Health Canada monitored the areas near Darlington, Bruce and Pickering in Ontario, Gentilly in Quebec, and Point Lepreau in New Brunswick. In 1996, Health Canada’s monitoring of the Ontario stations was terminated to avoid redundancy, since a similar initiative was underway through the Ontario Ministry of Labour. Currently, the CRMN monitors six sites in the vicinity of Point Lepreau, four sites in the vicinity of Gentilly, and a single site in the Greater Toronto Area. The average tritium concentration for the CRMN stations is 0.22 Bq/m3 for the time period from 2004 to 2013. This is consistent with results reported for other monitoring stations in close proximity to Canadian nuclear power stations, and the levels are considered to be safe from a health perspective. Note that the tritium values are measured using liquid scintillator measurements. This requires removing the background contribution from the measurement. The uncertainty associated with each measurement, can lead to reported values of less than zero. The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

**Attention: there is a new version of this product (SCANFI v2)**SCANFI v2 can be found here: https://doi.org/10.23687/07653869-f303-46c2-a04e-9ab479b73cbfThis data publication contains a set of 30m resolution raster files representing 2020 Canadian wall-to-wall maps of broad land cover type, forest canopy height, degree of crown closure and aboveground tree biomass, along with species composition of several major tree species. The Spatialized CAnadian National Forest Inventory data product (SCANFI) was developed using the newly updated National Forest Inventory photo-plot dataset, which consists of a regular sample grid of photo-interpreted high-resolution imagery covering all of Canada’s non-arctic landmass. SCANFI was produced using temporally harmonized summer and winter Landsat spectral imagery along with hundreds of tile-level regional models based on a novel k-nearest neighbours and random forest imputation method. A full description of all methods and validation analyses can be found in Guindon et al. (2024). As the Arctic ecozones are outside NFI’s covered areas, the vegetation attributes in these regions were predicted using a single random forest model. The vegetation attributes in these arctic areas could not be rigorously validated. The raster file « SCANFI_aux_arcticExtrapolationArea.tif » identifies these zones.SCANFI is not meant to replace nor ignore provincial inventories which could include better and more regularly updated inputs, training data and local knowledge. Instead, SCANFI was developed to provide a current, spatially-explicit estimate of forest attributes, using a consistent data source and methodology across all provincial boundaries and territories. SCANFI is the first coherent 30m Canadian wall-to-wall map of tree structure and species composition and opens novel opportunities for a plethora of studies in a number of areas, such as forest economics, fire science and ecology.**Limitations**1- The spectral disturbances of some areas disturbed by pests are not comprehensively represented in the training set, thus making it impossible to predict all defoliation cases. One such area, severely impacted by the recent eastern spruce budworm outbreak, is located on the North Shore of the St-Lawrence River. These forests are misrepresented in our training data, there is therefore an imprecision in our estimates.2- Attributes of open stand classes, namely shrub, herbs, rock and bryoid, are more difficult to estimate through the photointerpretation of aerial images. Therefore, these estimates could be less reliable than the forest attribute estimates.3- As reported in the manuscript, the uncertainty of tree species cover predictions is relatively high. This is particularly true for less abundant tree species, such as ponderosa pine and tamarack. The tree species layers are therefore suitable for regional and coarser scale studies. Also, the broadleaf proportion are slightly underestimated in this product version.4- Our validation indicates that the areas in Yukon exhibit a notably lower R2 value. Consequently, estimates within these regions are less dependable. 5- Urban areas and roads are classified as rock, according to the 2020 Agriculture and Agri-Food Canada land-use classification map. Even though those areas contain mostly buildings and infrastructure, they may also contain trees. Forested urban parks are usually classified as forested areas. Vegetation attributes are also predicted for forested areas in agricultural regions.**Details on the product development and validation can be found in the following publication:**- Guindon, L., Manka, F., Correia, D.L.P., Villemaire, P., Smiley, B., Bernier, P., Gauthier, S., Beaudoin, A., Boucher, J., and Boulanger, Y. 2024. A new approach for Spatializing the Canadian National Forest Inventory (SCANFI) using Landsat dense time series. Can. J. For. Res. https://doi.org/10.1139/cjfr-2023-0118**Please cite this dataset as:**- Guindon L., Villemaire P., Correia D.L.P., Manka F., Lacarte S., Smiley B. 2023. SCANFI: Spatialized CAnadian National Forest Inventory data product. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. https://doi.org/10.23687/18e6a919-53fd-41ce-b4e2-44a9707c52dc **The following raster layers are available:**- NFI land cover class values: Land cover classes include Water, Rock, Bryoid, Herbs, Shrub, Treed broadleaf, Treed mixed and Treed conifer- Live aboveground dry tree biomass (tonnes/ha): biomass was derived from total merchantable volume estimates produced by provincial agencies- Height (meters): vegetation height- Crown closure (%): percentage of pixel covered by the tree canopy - Tree species cover (%): estimated as the proportion of the canopy covered by each tree species: - Balsam fir tree cover in percentage (Abies balsamea) - Black spruce tree cover in percentage (Picea mariana) - Douglas fir tree cover in percentage (Pseudotsuga menziesii) - Jack pine tree cover in percentage (Pinus banksiana) - Lodgepole pine tree cover in percentage (Pinus contorta) - Ponderosa pine tree cover in percentage (Pinus ponderosa) - Tamarack tree cover in percentage (Larix laricina) - White and red pine tree cover in percentage (Pinus strobus and Pinus resinosa) - Broadleaf tree cover in percentage (PrcB) - Other coniferous tree cover in percentage (PrcC)

A chlorophyll fluorescence time series was collected at various locations around the coast of Vancouver Island, British Columbia, Canada for monitoring phytoplankton concentrations. A Wetlabs ECO fluorometer was deployed every few months on a schedule depending on season and sensor availability. The instrument hung by a chain attached to the side of the buoy, or dock, depending on location, and measured chlorophyll using the fluorescence emission at 695nm. The instrument also measured turbidity by detecting the scattered light at 700nm. The units had internal batteries and data storage and were programmed to make a group of 5 measurements every 30 minutes. A copper wiper covered the sampling window between groups of measurements to reduce fouling. Times are in UTC unless otherwise stated.

Time series of dissolved inorganic nutrients (nitrate, silicate, phosphate) (mmol/m2) at the 3 fixed stations and 46 stations, grouped into transects, of the Atlantic Zonal Monitoring Program (AZMP) under the Quebec region responsibility.The mean integrated nutrient data of 2 strata (0-50 m) et (50-150 m) from the last ten years are displayed as 12 layers, 6 for the June survey (2013-2022, 2020 not sampled) and 6 for the autumn survey (2013-2022). Finally, 2 other layers shows the positions of the fixed stations of the program (Anticosti Gyre, Gaspé Current and Rimouski).Each station is linked with a .png file showing the time series of nutrients and with a .csv file containing all the integrated nutrient data acquired at those stations since the beginning of the program sampling (columns : Station, Latitude, Longitude, Date(UTC), Sounding(m), Depth_min/Profondeur_min(m), Depth_max/Profondeur_max(m), Integrated_Nitrate/Nitrate_intégré(mmol/m²), Integrated_Phosphate/Phosphate_intégré(mmol/m²), Integrated_Silicate/Silice_intégrée(mmol/m²)).PurposeThe Atlantic Zone Monitoring Program (AZMP) was implemented in 1998 with the aim of increasing the Department of Fisheries and Oceans Canada’s (DFO) capacity to detect, track and predict changes in the state and productivity of the marine environment.The AZMP collects data from a network of stations composed of high-frequency monitoring sites and cross-shelf sections in each following DFO region: Québec, Gulf, Maritimes and Newfoundland. The sampling design provides basic information on the natural variability in physical, chemical, and biological properties of the Northwest Atlantic continental shelf. Cross-shelf sections sampling provides detailed geographic information but is limited in a seasonal coverage while critically placed high-frequency monitoring sites complement the geography-based sampling by providing more detailed information on temporal changes in ecosystem properties.In Quebec region, two surveys (46 stations grouped into transects) are conducted every year, one in June and the other in autumn in the Estuary and Gulf of St. Lawrence. Historically, 3 fixed stations were sampled more frequently. One of these is the Rimouski station that still takes part of the program and is sampled about weekly throughout the summer and occasionally in the winter period.Annual reports (physical, biological and a Zonal Scientific Advice) are available from the Canadian Science Advisory Secretariat (CSAS), (http://www.dfo-mpo.gc.ca/csas-sccs/index-eng.htm).Devine, L., Scarratt, M., Plourde, S., Galbraith, P.S., Michaud, S., and Lehoux, C. 2017. Chemical and Biological Oceanographic Conditions in the Estuary and Gulf of St. Lawrence during 2015. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/034. v + 48 pp.Supplemental InformationWater sampling for nutrients analysis is done from Niskin bottles according to AZMP sampling protocol:Mitchell, M. R., Harrison, G., Pauley, K., Gagné, A., Maillet, G., and Strain, P. 2002. Atlantic Zonal Monitoring Program sampling protocol. Can. Tech. Rep. Hydrogr. Ocean Sci. 223: iv + 23 pp.

The data presented in the radioactivity map of Canada series (Buckle et al., 2014) depict the surface concentrations of three naturally-occurring radioactive elements: potassium (K, %), equivalent uranium (eU, ppm), and equivalent thorium (eTh, ppm); as well as five derived products: natural air absorbed dose rate (NADR, nGy/h) calculated from a linear combination of potassium, equivalent uranium, and equivalent thorium concetrations; the ratios eU/eTh, eU/K, and eTh/K; and the ternary map which uses false colour to illustrate the co-variation of the three measured elements (Broome et al., 1987). This compilation was produced with data from more than 370 airborne gamma-ray surveys flown or supervised by the Geological Survey of Canada between 1969 and 2011. Data was calibrated and acquired in accordance to standards in effect at the time each survey (see Darnley et al., 1975 and IAEA, 1991). Most of the data was acquired using 50 L of Sodium Iodide (NaI) detectors flown at a nominal terrain clearance of 120 m, but line spacings vary from 5000 m to 200 m depending on the specific survey. Potassium is measured directly from the 1460 keV gamma-ray photons emitted by Potassium-40. Uranium and thorium, however, are determined indirectly from gamma-ray photons emitted by daughter products Bismuth-214 (1765 keV) and Thallium-208 (2614 keV) respectively assuming equilibrium between daughter and parent isotopes. For this reason, gamma-ray spectrometric measurements of uranium and thorium are referred to as equivalent uranium (eU) and equivalent thorium (eTh). The measured gamma-rays originate from geological materials in the upper 30 cm of the Earth's surface and their intensity are directly related to the concentrations of K, U and Th in the rocks and minerals present. The geochemical information presented in this compilation is used to support bedrock and surficial geology mapping by outlining lithological variations. It can also indicate mineralization either by association of radio-elements as trace elements with economic minerals or through delineation of their enrichment or depletion due to geochemical alteration resulting from mineralization processes. Overall, this information also contributes to the characterization of the natural radiation environment. Futher information on data acquisition, processing and interpretation and on application can be found in IAEA-TECDOC-1363 (2003), and references therein. These data were also published as Geological Survey of Canada maps, in the Open Files series (7396-7403). References Broome, J., J.M. Carson, J.A. Grant, and K.L. Ford, 1987. A modified ternary radioelement mapping technique and its application to the south coast of Newfoundland, Geological Survey of Canada, Paper 87-14. https://doi.org/10.4095/122382 Buckle, J.L., J.M. Carson, K.L. Ford, R. Fortin and W.F. Miles, 2014, Radioactivity map of Canada, ternary radioelement map, Geological Survey of Canada, Open File 7397. https://doi.org/10.4095/293354 Darnley, A.G., E. M. Cameron and K. A. Richardson, 1975. The Federal-Provincial Uranium Reconnaissance Program, in Geological Survey of Canada, Paper 75-26, p. 49-71. https://doi.org/10.4095/102591 International Atomic Energy Agency, 1991. Airborne Gamma Ray Spectrometer Surveying, International Atomic Energy Agency, Technical Reports Series No. 323. https://www.iaea.org/publications/1427/airborne-gamma-ray-spectrometer-surveying International Atomic Energy Agency, 2003. Guidelines for radioelement mapping using gamma ray spectrometry data; International Atomic Energy Agency, Technical Reports Series No. 1363. https://www.iaea.org/publications/6746/guidelines-for-radioelement-mapping-using-gamma-ray-spectrometry-data

Level below which soil or rock is saturated with water, in the well and at the time the level has been measured, expressed in m above the sea level. Groundwater levels measured are interpolated / extrapolated to obtain groundwater level on every cell of the hydrogeological unit raster. Surfer and ArcGis are the software usually used to create groundwater level raster. The dataset designates a raster with a groundwater level, for each cell of the hydrogeological unit.