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.

Orders in Council (OIC) are regulations or legislative orders in relation to and authorized by an existing Act. This table identifies Yukon lands withdrawn from disposal, usually by Territorial Order in Council. In Corporate Spatial Warehouse (CSW) data is split out into spatial views by Act under which orders are authorized. The tables are comprehensive and include both active and expired orders. Spatial views show only the active data.In this table and spatial views, Regulations by Order in Council (OIC) are spatially represented to provide clarity regarding Yukon lands withdrawn from disposal. Spatial data is viewed by the Act under which the order is authorized. Not all orders are for withdrawal, different levels of withdrawal are common and not detailed in GIS attributes. It is important to read OIC documents for specific details ( [https://legislation.yukon.ca/legislation/page_a.html](https://legislation.yukon.ca:443/legislation/page_a.html) ).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)

Patterns of wet deposition of the nitrate (NO3), non-sea-salt sulfate (xSO4) and ammonium (NH4) ions across areas of Canada and the United States are based on measurements of precipitation depth and ion concentrations in precipitation samples. xSO4 refers to the wet deposition of sulfate with the sea-salt sulfate contribution removed at coastal sites. These measurements were collected and quality controlled by their respective networks: in Canada, the federal Canadian Air and Precipitation Monitoring Network (CAPMoN) and provincial or territorial networks in Alberta, New Brunswick, the Northwest Territories, Nova Scotia, Ontario and Quebec. In the United States, wet deposition measurements were made by two coordinated networks: the National Atmospheric Deposition Program (NADP) / National Trends Network (NTN) and the NADP/Atmospheric Integrated Research Monitoring Network (AIRMoN). Only data from sites that were designated as regionally representative were used in the mapping. Wet deposition amounts were interpolated by ordinary kriging using ArcMap Geostatistical Analyst. The map is limited to the contiguous U.S. and southeastern or southern Canada because outside that region, the interpolation error exceeds 30% due to the larger distances between stations. Links to annual and five-year average maps are available in the associated resources.

An Element Occurrence (EO) is an area of land and/or water in which a species or ecological community is, or was, present. An Element is either a species (or subspecies taxa) or an ecological community, the Occurrence is the documented location. The EO concept is part of NatureServe methodology. This methodology is used throughout the NatureServe network. EOs are created based on the Element Occurrence Data Standard and are a derived product developed from submitted observations. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For Species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population (e.g., for long distance dispersers) or may be a group of nearby populations (e.g., metapopulation). For Ecological Community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. This dataset contains Non-sensitive EOs. Non-Sensitive EOs are locations (i.e. occurrences) of species or communities that are rare (or of conservation concern for some other reason) and for which there are no restrictions regarding public access to location data (beyond agreeing to the Terms and Conditions detailed below). This data updates on a daily basis.

Background:More than 80% of the heat produced in the Earth's crust comes from granitoid rocks. When granitoid rocks form they naturally concentrate radioactive elements such as U, Th, and K, and the radiogenic decay of these elements is an exothermic reaction. The radioactive decay of these elements within a granitoid body may generate local heat anomalies and elevated geothermal gradient at relatively shallow crustal levels. In combination with other local rock properties (e.g, porosity, permeability, thermal conductivity), radiogenic heat has the potential to generate a geothermal resource. The decay of radioactive elements converts mass into radiation energy, which in turn gets converted to heat. While all naturally radioactive isotopes generate some heat, significant heat generation only occurs from the decay of 238 U ,235 U ,232 Th and 40 K. Therefore, potential heat production is governed by the concentrations of U ,Th and K in the rock. In igneous rocks, radiogenic heat production is dependent on the bulk chemistry of the rock and decreases from acidic (e.g. granite) through basic to ultra basic rock types. Therefore, granites with anomalously high concentrations of U ,Th and K are targets for calculating potential radiogenic heat production. Potential radiogenic heat production (A)from plutonic rocks can be calculated using this equation:A (\\u03BCW/m 3 )=10 -5 \\u1D29 (9.52c u +2.56c K +3.48c Th )where "c" is the concentration of radioactive elements "U" and "Th" in ppm, and "K" in %; and "\\u1D29" is the rock density. Heat production constants of the natural radio-elements U, Th, K are 9.525x10 -5 , 2.561x10 -5 and 3.477x10 -9 W/kg, respectively.Data and Methods:Geochemical data from \~1760 samples of plutonic rocks from Yukon are used to calculate potential heat production. The calculated values for radiogenic heat production (A) are plotted over the mapped distribution of Paleozoic and younger plutonic rocks and major crustal faults are also shown for reference.

This dataset is a compilation of numerous data files recovered as part of a data request in 2024 from a historical archive of DFO research data. Sediment and Suspended Particulate Matter (SPM) samples were collected over more than a decade as part of Dr. Douglas Loring’s research program while working at the Bedford Institute of Oceanography (BIO). Samples were collected as part of individual and collaborative research projects, and links to the relevant primary science publications and reports are included in the data in an effort to provide context to the data, as well as describe the field and laboratory techniques used to generate the attached data.

The Standardized Precipitation Index (SPI) is widely regarded as one of the most accessible tools for quantifying and reporting meteorological drought. At shorter timescales, SPI values are highly correlated with soil moisture, while at extended timescales, they reflect variations in groundwater and reservoir storage. The SPI model derives probability distributions from historical precipitation records, which are then normalized using an incomplete gamma function across multiple timescales. SPI values indicate the number of standard deviations the observed anomaly departs from the long-term period of record, with positive values corresponding to wetter-than-average conditions.Time periods calculated for monthly precipitation percentiles are 1, 2, 3, 6, 9, 12, 18, 24 months. Each ISO week is numbered from 1 to 52 (sometimes 53) within a year. An ISO week starts on Monday and ends on Sunday. Historical record goes back to 1980Indices values were calculated using the xclim python package The National Agroclimate Series of Derived Indicators (NASDI) products provide a collection of comprehensive and regularly updated datasets on key agroclimatic variables, including accumulated precipitation, standardized precipitation index, and difference from normal temperature, among others. These datasets incorporate both real-time and historical climate information, offering enhanced insight into conditions and trends across Canada’s diverse agricultural regions.

This data series represents the volumetric soil moisture (percent saturated soil) for the surface layer (<5 cm). The data is created daily and is averaged for the ISO standard week and month. The data is produced from passive microwave satellite data collected by the Soil Moisture and Ocean Salinity (SMOS) satellite and converted to soil moisture using version 6.20 of the SMOS soil moisture processor.The data are produced by the European Space Agency and obtained under a Category 1 proposal for Level 2 soil moisture data. The data are gridded to a resolution of 0.25 degrees. Data quality flags have been applied to remove areas where rainfall is present during the acquisition, where snow cover is detected and when Radio Frequency Interference (RFI) is above an acceptable threshold.

The term "Palmer Drought Index" has been used collectively to represent multiple indices. This index is simply a water balance model which analyzes precipitation and temperature, and used as a tool to measure meteorological and hydrological drought across space and time. All versions of the index uses the Versatile Soil Moisture Budget to model the movement of water within the system, and a daily Priestly-Taylor model to estimate evapotranspiration. The Palmer Drought Index (PDI) uses monthly temperature and precipitation data to calculate a simple soil water balance. The index is a relative measure that typically ranges from -4 (extremely dry) to +4 (extremely wet) and represents how soil moisture availability differs from that expected for a given place and time of year. The PDI includes a "memory" component that considers past conditions and persistence of soil moisture surplus or deficit.The Palmer Hydrological Drought Index (PHDI) is a specific version of the PDI that accounts for longer-term drought that reduces surface and groundwater supply.

The purpose of this dataset is to provide quantitative analysis on specific commodities, offering insights into:- The total amount of specific commodities, e.g., Gold, in Yukon's hard rock deposits. - The highest-grade and largest deposits in Yukon. - The distribution of mineral resources within multiple zones in a deposit. - Source reports, direct links, and confidence levels for each mineral resource statement. - Differentiation between 43-101, JORC, and historical estimates. The resources in this dataset have been summarized and averaged to show the total geologic resource for a property or zone. For the exact numbers, please refer to the NI 43-101 compliant resource statement.+-----------------------------------+-----------------------------------+| Field\ | Description\ || \ | \ |+-----------------------------------+-----------------------------------+| Property\ | Property for which deposit || \ | resource was calculated.\ || | \ |+-----------------------------------+-----------------------------------+| Zone\ | Zone for which deposit resource || \ | was calculated.\ || | \ |+-----------------------------------+-----------------------------------+| 43-101 Compliant\ | If the resource calculation is NI || \ | 43-101 compliant, JORC compliant, || | or historic.\ || | \ |+-----------------------------------+-----------------------------------+| Commodities\ | The types of commodities || \ | contained in the resource || | calculation, order is || | alphabetic.\ || | \ |+-----------------------------------+-----------------------------------+| Categories\ | The resource categories used to || \ | create the calculation. This || | indicates the level of certainty || | of the calculation.\ || | \ |+-----------------------------------+-----------------------------------+| Resource / Reserve\ | If the resource calculation is || \ | considered to be a reserve or || | resource. A reserve factors || | economic factors an || | extractability of the deposit || | into account.\ || | \ |+-----------------------------------+-----------------------------------+| Tonnage\ | The total tonnage of the deposit\ || \ | \ |+-----------------------------------+-----------------------------------+| AVG_AU_GT\ | The average grade of gold in the || \ | deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_AU_OZ\ | The total contained gold, in troy || \ | ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_AG_GT\ | The average grade of silver in || \ | the deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_AG_OZ\ | The total contained silver, in || \ | troy ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_CU_PCT\ | The average grade of copper in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_CU_LBS\ | The total contained gold, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_MO_PCT\ | The average grade of molybdenum || \ | in the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_MO_LBS\ | The total contained molybdenum, || \ | in pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_PB_PCT\ | The average grade of lead in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_PB_LBS\ | The total contained lead, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_ZN_PCT\ | The average grade of zinc in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_ZN_LBS\ | The total contained zinc, in || \ | pounds\ || | \ |+-----------------------------------+-----------------------------------+| AVG_NI_PCT\ | The average grade of nickel in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_NI_LBS\ | The total contained nickel, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_CO_PCT\ | The average grade of cobalt in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_CO_LBS\ | The total contained cobalt, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_WO3_PCT\ | The average grade of tungsten || \ | trioxide in the deposit, in || | percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_WO3_LBS\ | The total contained tungsten || \ | trioxide, in pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_SN_PCT\ | The average grade of tin in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_SN_LBS\ | The total contained tin, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_SB_PCT\ | The average grade of antimony in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_SB_LBS\ | The total contained antimony, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_FE_PCT\ | The average grade of iron in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_FE_LBS\ | The total contained iron, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_PT_GT\ | The average grade of platinum in || \ | the deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_PT_OZ\ | The total contained platinum, in || \ | troy ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_PD_GT\ | The average grade of palladium in || \ | the deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_PD_OZ\ | The total contained palladium, in || \ | troy ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_BASO4_PCT\ | The average grade of barium || \ | sulphate in the deposit, in || | percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_BASO4_TONNES\ | The total contained barium || \ | sulphate, in pounds.\ || | \ |+-----------------------------------+-----------------------------------+| REFERENCE_DATE\ | The date of the resource || \ | calculation.\ || | \ |+-----------------------------------+-----------------------------------+| URL\ | The link to the report or graphic || \ | containing the resource || | calculation.\ || | \ |+-----------------------------------+-----------------------------------+| LATITUDE_DD\ | Y-Location, geographic center of || \ | zones.\ || | \ |+-----------------------------------+-----------------------------------+| LONGITUDE_DD\ | X-Location, geographic center of || \ | zones.\ || | \ |+-----------------------------------+-----------------------------------+Distributed from [GeoYukon](https://yukon.ca:443/geoyukon)(target="_blank" style="text-decoration:underline;" rel="nofollow ugc noopener noreferrer") by the [Government of Yukon](https://yukon.ca:443/maps)(target="_blank" style="text-decoration:underline;" rel="nofollow ugc noopener noreferrer") . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [geomatics.help@yukon.ca](http://geomatics.help@yukon.ca:80/)(target="_blank" style="text-decoration:underline;" rel="nofollow ugc noopener noreferrer")