Ecologically Based Landscape Classification Data

Coal Exploration Licences

This is a point shape file representing 2 kilometre incremental distances along each of the 8 NWT highways.  These 2km points do not represent the actual location of 2km highway posts found along the sides of the highways.  The feature class points are placed every 2 kilometres along a highway and represent the distance from a fixed commencement point, the beginning of that highway.

Proposed Protected and Conservation Areas in the NWT

Mineral Claims

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets. This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (18 parameters with quality flag indicators), and covers the Northeast Atlantic Ocean (40W) with 381639 CDI records (381085 Vertical profiles and 554 Time series). Vertical profiles temporal range is from 1921-10-15 to 2020-10-16. Time series temporal range is from 1974-06-14 to 2019-04-24. Data were aggregated and quality controlled by 'IFREMER / IDM / SISMER - Scientific Information Systems for the SEA' from France. Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/. Detailed documentation is available at: https://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713 Explore and extract data at: https://emodnet-chemistry.webodv.awi.de/eutrophication%3EAtlantic The aggregated dataset can also be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ). The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search

Mining Leases

This data set includes the locations of all known seabird colonies along the coast of British Columbia, and provides a compilation of the population estimates of seabirds breeding at those colonies since 1980, and historical estimates prior to 1980 for some colonies. It does not include an estimate of the numbers of juvenile birds or non-breeders in the population. The rationale for developing this inventory was the recognized need for a product that could assist with: coastal zone and conservation area planning; emergency response to environmental emergencies and identifying areas of potential interactions between seabirds and anthropogenic activities. In addition, the data used to develop the document provides a baseline to compare with future seabird population estimates in order to measure the impacts of shifts in composition, abundance and/or distribution of prey, and climatic and oceanographic changes. The database is not a substitute for on-site surveys usually required for environmental assessment. Here we present data on the breeding colony population estimates of the 17 species of seabirds (including two storm petrels, three cormorants, one gull, and eight alcids) and one shorebird (Black Oystercatcher Haematopus bachmani) that breed on the coast of British Columbia. Over 5.5 million colonial birds are currently estimated to nest at 649 sites (Rodway et al. 2024). Five species (Cassin's Auklets Ptychoramphus aleuticus, Fork-tailed Storm-petrels (Hydrobates fucatus), Rhinoceros Auklets Cerorhinca monocerata, Ancient Murrelets Synthliboramphus antiquus, and Leach's Storm-petrels (Hydrobates leucorhous), comprise the vast majority of that population, although Black Oystercatchers (Haematopus bachmani), Pigeon Guillemots (Cepphus columba), and Glaucous-winged Gulls (Larus glaucescens), nest at the most sites. Marbled Murrelets (Brachyramphus marmoratus), which nest on the mossy limbs of mature and old-growth trees within the coastal forests, are not included in this database, due to their dispersed nesting habit. The population estimates presented in this database are compiled from the results of several surveys. Many of the seabird breeding colonies in British Columbia have been known for more than 50 years, but because of the remoteness of the sites, visits to them have been rare. The majority of the data are the results of comprehensive inventories of colonial nesting seabirds along the British Columbia coastline conducted between 1974 and 1977 by the British Columbia Provincial Museum (BCPM; now Royal British Columbia Museum ) and between 1980 and 1989 by the Canadian Wildlife Service of Environment and Climate Change Canada (CWS). The goal of the BCPM surveys was to explore the entire BC coast to identify seabird nesting sites. Reliable, quantitative data were gathered on the breeding populations of all surface-nesting seabird species and rough estimates of population sizes were made for burrow-nesting species. The goal of the CWS survey program was to establish baseline estimates of breeding populations of burrow-nesting species in BC using standardized survey techniques to allow future comparisons and monitoring of those populations. During the 1980s, repeat surveys of surface-nesting species were also conducted by CWS in most regions of the BC coast. A few colonies on small remote islands were not visited during those surveys. Therefore, for some colonies the most current population estimates are from the first complete survey of the BC coastline, carried out by the Royal British Columbia Museum in the mid 1970’s. Since 1989, surveys have been conducted by CWS on some alcid, cormorant and gull colonies along the BC coast, and results have been included in the dataset (data entry ongoing). As well as data from CWS surveys, we have attempted to obtain recent data from all other sources including Parks Canada, Transport Canada, the BC Ministry of Forests, Lands, Natural Resource Operations and Rural Development, the City of Vancouver, the Bamfield Marine Station, and the Laskeek Bay Conservation Society. Since 2000, inventories of nesting Black Oystercatchers have been conducted in some regions of the coast by Parks Canada and partners (Gulf Islands National Park Reserve, Pacific Rim National Park Reserve, and Gwaii Haanas National Park Reserve) and results have been included in the dataset (data entry ongoing). A long time series of nesting Black Oystercatcher data collected by Laskeek Bay Conservation Society in the Laskeek Bay area of the East Coast of Moresby Island has also been included in this dataset.

Canadian Homogenized Surface Air Temperature – Version 3.1 (CanHomT V3.1) This dataset is an update of the Third Generation Homogenized Temperature dataset (Vincent et al. (2020), extended through 2023. It was developed for climate trend analysis and includes long-term daily maximum, minimum, and mean temperature series for 780 stations (776 locations) in Canada. The key enhancement in V3.1 is the inclusion of both Original and Adjusted data, together with their associated data flags and the source station climate ID, providing improved traceability, reproducibility, and transparency. Key processing steps include: • Merging observations from nearby sites to create long records • Quality control of data • Adjusting daily minimum temperatures since July 1961 for the observing-time (climatological day definition) change at 96 principal stations (Vincent et al., 2009) • Detecting non-climatic shifts in annual and seasonal average temperature data series using homogeneity tests with reference and station metadata. • Applying Quantile-Matching (QM) adjustments with reference data (including parallel observations) to correct non-climatic changes (Vincent et al., 2018; Wang et al., 2010). Parallel observations —simultaneous measurements from old and new instruments or locations—were used whenever available because they provide the most reliable basis for data homogenization. Adjustments made without suitable reference data carry greater uncertainty, and this increased uncertainty should be quantified and clearly communicated (WMO, 2020). The QM method adjusts the entire distribution of data in one segment to match another (Wang et al., 2026; Vincent et al., 2018; Wang & Feng, 2013; Wang et al. 2010), ensuring that distribution changes—including variance shifts—at identified changepoints are homogenized. The gridded version of monthly CanHomT V3.1, called CanGridT mlyV3.1 [https://open.canada.ca/data/en/dataset/781e02cc-6c1b-462e-b61b-f96c607b23bd], was found to represent Canada’s warming trend reasonably well since 1900, despite changes in data availability over time (Wang et al., 2026, see their Figure S3). References Vincent, L.A., M.M. Hartwell and X.L. Wang, 2020: A Third Generation of Homogenized Temperature for Trend Analysis and Monitoring Changes in Canada’s Climate. Atmosphere-Ocean, 58(3), 173–191. https://doi.org/10.1080/07055900.2020.1765728. Vincent, L.A., E.J. Milewska, R. Hopkinson and L. Malone, 2009: Bias in minimum temperature introduced by a redefinition of the climatological day at the Canadian synoptic stations. J. Appl. Meteor. Climatol, 48, 2160-2168. DOI: 10.1175/2009JAMC2191.1. Vincent, L.A., E.J. Milewska, X. L. Wang, and M. M. Hartwell, 2018. Uncertainty in homogenized daily temperatures and derived indices of extremes illustrated using parallel observations in Canada, Intl. J. Climatol., 38:2, 692-707. DOI: 10.1002/JOC.5203. Wang, X. L. and Y. Feng, published online July 2013: RHtestsV4 User Manual. Climate Research Division, Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment Canada. 28 pp. [Available online at https://github.com/ECCC-CDAS] DOI: 10.13140/RG.2.2.17309.17125. Wang, X. L., H. Chen, Y. Wu, Y. Feng, and Q. Pu, 2010: New techniques for detection and adjustment of shifts in daily precipitation data series. J. Appl. Meteor. Climatol., 49, 2416-2436. DOI: 10.1175/2010JAMC2376.1. WMO. (2020). Guidelines on Homogenization (2020 edition). World Meteorological Organization. WMO-No. 1245. https://library.wmo.int/records/item/57130-guidelines-on-homogenization?offset=1. Wang, X. L., Feng, Y., Zwiers, F. W., & Cheng, V. Y. S. (2026). Precipitation trends in version 2 of the Canadian homogenized monthly precipitation dataset. Atmosphere-Ocean, 1–16, https://doi.org/10.1080/07055900.2026.2617861.

This dataset shows locations that contain critical habitat for certain terrestrial species at risk across Canada. It is intended to provide general guidance only, not legally authoritative boundaries. The dataset includes active critical habitat records for terrestrial species listed on Schedule 1 of the Species at Risk Act (SARA) as Endangered, Threatened, or Extirpated, as well as archived records for species whose status has been downlisted to Special Concern, and for which Environment and Climate Change Canada (ECCC) and/or Parks Canada are responsible. Under SARA, critical habitat means the habitat that is necessary for the survival or recovery of a listed wildlife species and that is identified as the species’ critical habitat in the recovery strategy or action plan for the species. These documents, which are published in the Species at Risk Public Registry (https://www.canada.ca/en/environment-climate-change/services/species-risk-public-registry.html), describe the critical habitat and may include maps or geographic coordinates. Because new information becomes available over time, recovery documents—and the critical habitat they identify—can be updated or revised. The Species at Risk Public Registry is the main source for the most current official information. If there is any difference between this dataset and a recovery document, the recovery strategy or action plan is the authoritative source. Some habitat locations are considered sensitive. For these species, the data may be shown in a less detailed way, or at a broader geographic scale, to avoid increasing risks to the species. For more detailed information on critical habitat, contact the Canadian Wildlife Service at scf-geocarto-cws-geomapping@ec.gc.ca. The data is current as of the date of modification.