The dataset contains projects that are currently, or have been, subject to environmental assessment review. Attributes include the project description, project phase, decision, and proponent name. This layer consists of points themed two ways: a. Project Phase- This theme consists of layers showing what phase each project is in - pre-EA, application review, post-decision, and withdrawn or terminated; and b. Project Type - This theme consists of nine layers that reflect the potential types of projects under review. This dataset is coming from the EAO Project Information Centre (EPIC) and is updated daily. For more information on any of the project points go to https://projects.eao.gov.bc.ca/.

Historical finds of Adelges abietis

The Innu Audio Index is an extract from the Canadian Geographical Names Data Base (CGNDB) of geographical names with associated audio. The shared audio with the Geographical Names Board of Canada (GNBC) is the intellectual property of the Innu Nation. The points represent official geographical names in Innu-aimun, the language of the Innu Nation. The CGNDB is the authoritative national database of Canada's geographical names. It contains geographical names and their attributes that have been approved by the GNBC, the national coordinating body responsible for standards and policies on place names.The GNBC is working to increase awareness of existing Indigenous place names and help promote the revitalization of Indigenous cultures and languages. The GNBC does not warrant or guarantee that the information is accurate, complete or current at all times. For more information, to report data errors, or to suggest improvements, please contact the GNBC Secretariat at Natural Resources Canada with questions or for more information.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The 2015 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Ocean Data Inventory database is an inventory of all of the oceanographic time series data held by the Ocean Science Division at the Bedford Institute of Oceanography. The data archive includes about 5800 current meter and acoustic doppler time series, 4500 coastal temperature time series from thermographs, as well as a small number (200) of tide gauges. Many of the current meters also have temperature and salinity sensors. The area for which there are data is roughly defined as the North Atlantic and Arctic from 30° - 82° N, although there are some minor amounts of data from other parts of the world. The time period is from 1960 to present. The database is updated on a regular basis.

Managed areas (parks, green spaces, etc.) for recreation and relaxation, including municipal equipment and vegetations.attributes:ID - Unique identifierMunicipality - Municipal codeName - Name of the managed areaType - Type of managed areaType - Type of managed area**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Eastern Shore Islands Area of Interest (AOI) is a large coastal AOI in the Maritimes Region spanning 2089 km2 and extending along 100 km of coastline. While much of the data that led to the area's designation as an AOI was collected in the nearshore coastal areas (i.e., seagrass and kelp distributions, coastal bird nesting sites, herring spawning areas), there is less information available on the fish and invertebrate community structure in offshore areas of the AOI. Current offshore sampling effort is primarily focused in the Summer multi-species RV survey which covers the Scotian Shelf but does not sample within the depth range covered by the AOI (~ <100m depth). Environmental DNA (eDNA) offers a promising approach for biodiversity monitoring that has been gaining increased attention in the marine realm. Through sampling relatively small volumes of water (~1-5 L), eDNA can capture of millions of fragments of eDNA on filters that can then be sequenced to identify the species composition of an area. eDNA metabarcoding is based on the foundations of DNA barcoding, where species are identified solely by their unique DNA sequences. eDNA metabarcoding relies on a comprehensive reference library of gene sequences from known species to rapidly identify which species are captured in every water sample. This method is relatively simple, efficient (with the ability to characterize both fish and invertebrate diversity), and non-invasive, meaning there is no disruption of sensitive benthic habitats or need to dissect tissue samples from captured fish and invertebrates. eDNA has been shown to be comparable to other biodiversity censusing techniques and has the potential to rapidly conduct biodiversity surveys over a relatively large area, such as the Eastern Shore Islands AOI. Our eDNA sampling in the Eastern Shore Islands targets fish and invertebrates using multiple genetic markers (e.g., 12S and COI) to obtain baseline information on these communities across transects spanning from inshore to offshore in the AOI. Over time, we will investigate changes in species richness and community composition using annual eDNA surveys as an ongoing monitoring tool for this coastal region. Cite this data as: Jeffery, N.W. Environmental DNA Monitoring in the Eastern Shore Islands Area of Interest - Offshore. Published: April 2026. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS.

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).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)