Health Canada routinely collects environmental samples for radioactivity analysis. The backbone of its monitoring comes from three separate networks: The Canadian Radiological Monitoring Network (CRMN), the Fixed Point Surveillance Network (FPS), and a Canadian contribution to the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTo). This dataset provides the approximate sampling location of the monitoring stations for each network.CRMN is a national network that routinely collects air particulate, precipitation, external gamma dose, drinking water, atmospheric water vapour, and milk samples for radioactivity analysis. The CRMN has been operating since 1959, and is used to establish long-term trends in naturally occurring environmental radioactivity, nuclear weapons fallout, as well as radioactivity generated by other human activities including nuclear power generation and medical isotope production. Full datasets for the Canadian Radiological Monitoring Network are available on the Open Government Portal.The Fixed Point Surveillance System (FPS) is an integrated network of radiation detectors providing terrestrial gamma radiation measurements in real time. The detectors are located in every province and territory of Canada with larger numbers in the vicinity of major Canadian nuclear facilities and ports where nuclear powered vessels sometimes harbour. Almost real time measurements are available on the EURDEP (EUropean Radiological Data Exchange Platform) website and monthly summaries are provided on the Health Canada website. The Comprehensive Nuclear-Test-Ban Treaty (CTBT) is a universal arms control treaty that bans all States from conducting nuclear explosions in any environment (atmosphere, underground, underwater). Canada is a signatory to the United Nations CTBT. The Radiation Protection Bureau of Health Canada is responsible for four certified radionuclide monitoring stations and a certified radionuclide laboratory. Additional information on the CTBT is available on the CTBTo website.The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

The Modern treaties (formerly known as the Post-1975 treaties) dataset contains geographic boundaries as well as basic attribute data representing signed agreements that were negotiated between Indigenous groups, the Government of Canada, and provincial and territorial governments after 1975. These boundaries represent the areas of Canada where Indigenous land rights and title have not been addressed by treaty or through other legal means. These boundaries represent the final result of a negotiated First Nation’s claimed area. These boundaries are usually not surveyed but help to delineate the geographic extent of the rights of Indigenous beneficiaries defined within the agreement. The Modern treaties dataset includes: 1) Overall Treaty Area (OTA) which is the broad area to which the agreement applies, often composed of the sum of the specific geographies defined within the treaty. 2) Treaty Settlement Lands that is wholly Indigenous-owned and forms part of the “land and cash” settlements that are integral to the treaty. This category belongs to the Department of Natural Resources Canada and can be found on the Open data website as ‘‘Aboriginal Lands’’ classified as ‘‘Land Claim’’. 3) Treaty-Specified Rights Areas which category pertains to areas (lands or waters) where specific rights, activities or responsibilities apply pursuant to the treaty. 4) Other Treaty-related Geography is the catch-all category for any remaining geographies that do not fit within the aforementioned categories but do form part of the OTA, such as lands or marine areas designated for conservation or for specific projects.For more information about Modern treaties, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100028574/1529354437231#chp4. The Modern treaties dataset is one of multiple datasets representing treaties and agreements between the Crown and Indigenous peoples. The Crown-Indigenous treaties and agreements geospatial datasets represent the geographic boundaries of the solemn agreements between the Crown and Indigenous peoples that set out promises, obligations and benefits for parties. The following datasets are also available: 1) The Historic treaties (formerly known as the Pre-1975 treaties) dataset, which represents most signed treaties that were negotiated between Indigenous peoples and the Crown between 1725 and 1929.2) The Indigenous agreements dataset, which represents established protocols in place for consultation processes, self-government agreements, and other signed agreements between Indigenous groups and the Crown which do not fall into the aforementioned categories.The Modern treaties dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC)’s primary source for Modern treaties geographic boundaries on maps.This dataset can also be viewed in the Aboriginal and Treaty Rights Information System (ATRIS). This web-based system provides access to information to inform governments, industry and other interested parties in determining their consultation obligations and in carrying out their consultation research.For more information, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100014686/1609421785838.

This national map of flood susceptibility or flood prone areas is based on patterns of historic flood events as predicted by an ensemble machine learning model.The recommended use is national, provincial or regional scale and can be used as a guide for identifying areas for further investigation. The Flood Susceptibility Index (FSI) Dataset, while processed and available at 30m cell size, is not recommended for use at the pixel or street level, given the uncertainty in the modelling process and the variability of results as discussed in https://www.mdpi.com/2673-4931/25/1/18 .For additional details on the methods, tests, models and datasets used to generate this data layer, please see https://geoscan.nrcan.gc.ca/starweb/geoscan/servlet.starweb?path=geoscan/fulle.web&search1=R=329493

BiologicEcologic ISO Feature Dataset symbolization and publication. September 5, 2017.

####Leading Group for the Cariboo Region (pinegroup or firgroup). #### 1. IDF - Fir Group: includes all forest polygons in NDT 4 (IDF and BG biogeoclimatic zones) that meet any of the following criteria: *a) Douglas-fir ( Fd or Fdi) leading or ponderosa pine leading; *b) Lodgepole pine leading, and Douglas-fir ( Fd or Fdi) or ponderosa pine greater than 15% in any inventory layer; *c) Trembling aspen leading, and Douglas-fir ( Fd or Fdi) or Ponderosa pine greater than 15% in any inventory layer, and spruce, red-cedar, cottonwood and birch less than 6% in any inventory layer; *d) No species information in inventory data (usually NSR stands), and inventory type group for pre-harvest stand or the current stand = 1, 2, 3, 4, 5, 6, 7, 8, 29, or 32 These inventory type groups correspond to the following species compositions F, FC, FCy, FH, FS, FPl, Fpy, FL, FDEcid, PlF and Py. If inventory type group=0 and pre-harvest inventory type is not available, classify the polygon as Pine Group. 2. IDF-Pl Group: includes all forest polygons in NDT 4 (IDF and BG biogeoclimatic zones) that do not meet the above definition for IDF-Fir Group.

Main road structures such as bridges and interchangers.attributes:ID - Unique identifierSubtype - Item subtypeName - Name of the road structure**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Species characterization by environmental DNA (eDNA) is a method that allows the use of DNA released into the environment by organisms from various sources (secretions, faeces, gametes, tissues, etc.). It is a complementary tool to standard sampling methods for the identification of biodiversity. This project provides a list of invertebrates species whose DNA has been detected in water samples collected at 2018 using the marker COI.The surveys were carried out in the summer of 2018 from August 11 to 14, between Forestville and Godbout (Haute-Côte-Nord). Sampling was carried out between 9-52 meters depth in 40 stations with one sample par station. Two liters of water were filtered through a 1.2 µm fiberglass filter. DNA extractions were performed with the DNeasy Blood and Tissue extraction kit (Qiagen). Negative field, extraction and PCR controls were added at the different stages of the protocol. Libraries at the COI locus were prepared by Genome Quebec and sequenced on an Illumina MiSeq PE250 system. The bioinformatics analysis of the sequences obtained was carried out using an in-house analysis pipeline as reported in Bourret et al. 2022. A first step made it possible to obtain a molecular operational taxonomic unit table (MOTU) using the cutadapt software for the removal of the adapters and the DADA2 R package for the filtration, fusion, chimera removal and data compilation. The MOTUs table was subsequently corrected by taking into account the negative controls, where the number of observations in the latter was removed from the linked samples. Singleton MOTUs have also been removed. Finally, the taxonomic assignments were carried out on the MOTUs using the IDTAXA classifier (present in the DECIPHIER R package) using a training set trained on the COI reference bank for Golf St-Laurent (GSL-rl v1.0, https://github.com/GenomicsMLI-DFO/MLI_GSL-rl) and a threshold of 40. Detections with an “Unreliable due to gaps” category were reported at the genus level only.The file provided includes generic activity information, including site, station name, date, marker type, assignment types used for taxa identification, and a list of taxa or species. The list of taxa has been verified by a biodiversity expert from the Maurice-Lamontagne Institute.This project was funded by Fisheries and Oceans Canada's Coastal Environmental Baseline Data Program under the Oceans Protection Plan. This initiative aims to acquire baseline environmental data that contributes to the characterization of significant coastal areas and supports evidence-based assessments and management decisions to preserve marine ecosystems.Data are also available on SLGO platform : https://doi.org/10.26071/ogsl-cd4c205b-f63b

Industrial sectors.attributs:ID - Unique identifierName - Industrial park name**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This spatial data identifies breeding zones used by forest managers and forest genetic associations to manage provincial forest genetic assets. The data: * shows the boundaries of breeding zones * identifies the primary or target species within each zone Species are associated with certain breeding programs, seed orchards and progeny (descendant) testing installations.

Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2024 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55