A vector representation of stream networks is a crucial dataset for the modelling the surface water and groundwater components of the hydrologic cycle. For many usages a crucial attribute of the drainage network is a digital topology and hierarchal stream order attribute (e.g., Strahler stream order). In Canada jurisdictional stream networks are available for the provinces and territories and nationally for Canada in the National Hydrological Network (NHN) dataset. Unfortunately, the NHN data lacks the same topological and attribute information that is available for numerous provinces due to standardization for the entire country. For Canada1Water it was also necessary to have a harmonized dataset with the United States, for both the southern transboundary watersheds and the Alaskan watersheds. This report documents the processes completed to upgrade the topological and graph network support for NHN and provide continuous connectivity with US datasets. It also highlights and corrects a number of stream density and stream order issues that occur within Canada across provincial and territorial borders and NTS tiles. All vector processing was completed in RivEX software extension for ArcMap. Following complete topological correction stream classification was assigned and a table of the node graph network developed. Additional work was then completed to normalize stream density particularly amongst low-order streams between British Columbia and the Yukon and amongst local NTS tiles in Quebec and Ontario. Corrected NHN Strahler stream order assignment was validated against a number of provincial and watershed datasets, all of which already have Strahler stream order attributed. These datasets are the same underlying digitized vector data, so there are no differences in node or polyline positions. Strahler stream order assignment validation was only done by visual comparison as due to differences in vector segments a statistical comparison is complicated. The transboundary integrated C1W stream network with complete classification provides a seamless national dataset to support transdisciplinary studies (fisheries, wildlife, health, pesticide and nutrient issues, mining impact, ecosystem restoration, numeric modelling) that involve a knowledge of stream distribution and ranking.

The Indigenous agreements dataset contains geographic boundaries as well as basic attribute data representing arrangements between the Government of Canada, provinces and territories, and Indigenous organizations and communities. These arrangements address Indigenous and northern affairs, such as education, economic development, child and family services, health, and housing, that have not been addressed by treaties or through other means. However, this dataset only contains the Indigenous agreements that have a geographic boundary. The Indigenous agreements dataset includes: 1) Self-government agreements which represents the Indigenous groups that govern their internal affairs and assume greater responsibility and control over the decision making that affects their communities. Self-government agreements address the structure and accountability of Indigenous governments, their law-making powers, financial arrangements and their responsibilities for providing programs and services to their members. Self-government enables Indigenous governments to work in partnership with other governments and the private sector to promote economic development and improve social conditions. These boundaries usually represent the surveyed boundaries of the Indigenous group’s Indian reserve. 2) Consultation agreements (Consultation protocol) which represents an agreement signed between the Indigenous group and one or more parties that establish a consultation process. It sets out an orderly process through which the federal and/or provincial governments can consult with an Indigenous group regarding a contemplated project or activity that may have adverse impacts on established or asserted Aboriginal or Treaty rights. These agreements include Federal Bilateral agreement, Federal Tripartite agreement and other agreements. These boundaries are usually not surveyed but help to delineate the geographic extent of the agreement. 3) Other Agreements is the catch-all category for any remaining geographies of signed agreements between the Indigenous group and other parties, that do not fit within the aforementioned categories. These boundaries are usually not surveyed but help to delineate the geographic extent of the agreement. The Indigenous agreements 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 Pre-1975 treaties) dataset, which represents most signed treaties that were negotiated between Indigenous peoples and the Crown between 1725 and 1929. 2) The Modern treaties (formerly known as the Post-1975 treaties) dataset, which represents the areas of Canada where Indigenous land rights and title have not been addressed by preceding treaties or through other legal means. The Indigenous agreements dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC)’s primary source for Indigenous agreements 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.

List and geolocation of community media recognized or supported by the Operational Assistance Program for Community Media of the Ministry of Culture and Communications in 2015-2016 (https://www.mcc.gouv.qc.ca/index.php?id=1999).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Urban areas in the territory of the city of Saguenay**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Forest Drought Risk Assessment Tool (ForDRAT) provides estimates of stand-level drought risk for various BC tree species (Interior only at this point). Drought risk estimates are provided across different biogeoclimatic units and relative soil moisture regimes for both current and future climates. The data are currently provided in a spreadsheet, with the following columns: 1. BGC: Biogeoclimatic zone, subzone and variant. 2. Period: Data are provided for three historical periods: (i) 1961-1990 climate normal period; (ii) 1971-2000; and (iii) 1981-2010. Projected drought risk is provided for three future periods: (i) 2020 (2011-2040); (ii) 2050 (2041-2070); and (iii) 2080 (2071-2100). 3. SMR_text: Text description of relative soil moisture regime. 4. SMR: Integer code of relative soil moisture regime. 5. AET_PET: Mean annual ratio of actual to potential evapotranspiration. 6. The remaining columns provide estimated drought risk by species. Species codes are as follows: (i) Pl = lodgepole pine; (ii) Sx = hybrid white spruce; (iii) Fd = Douglas-fir (interior variety); (iv) Bl = subalpine fir; (v) Cw = western redcedar; (vi) Hw = western hemlock; (vii) Lw = western larch; (viii) Py = ponderosa pine; (ix) Ac = black cottonwood; and (x) At = trembling aspen. More species will be added over time. Details on ForDRAT development are provided in the following resources: DeLong et al. 2022: http://library.nrs.gov.bc.ca/digipub/Tr141.pdf DeLong et al. 2019: https://www.for.gov.bc.ca/hfd/pubs/Docs/Tr/TR125.pdf Foord et al. 2017: https://www.for.gov.bc.ca/hfd/pubs/Docs/En/En119.htm Nitschke and Innes. 2008: https://www.sciencedirect.com/science/article/abs/pii/S0304380007004061?via%3Dihub

Facilities are an oil and gas activity, defined in the Energy Resources Activities Act as a system of vessels, piping, valves, tanks and other equipment used to gather, process, measure, store or dispose of petroleum, natural gas, water or a substance referred to in paragraph (d) or (e) of the definition of pipeline. This dataset contains point features for proposed applications collected through the BC Energy Regulator's Application Management System (AMS). This dataset is updated nightly.

Vaccinium is a group of small fruit-bearing shrubs that includes the blueberries, cranberries, and lingonberries which are among the few major crops grown in Canada that are truly native to Canada. Dataset Type: Occurrence Specimen Type: Preserved specimens

Consolidated Local Health Areas (CLHAs) Boundaries. B.C. Consolidated Local Health Areas (CLHAs) are a health geography standard that partitions the province into distinct areas that support coordination of specialized care between Health Authorities and Primary Care. The province is divided into five Health Authorities, which are subdivided into 41 Consolidated Local Health Areas (CLHAs), which are subdivided into 231 Community Health Service Areas (CHSAs). CLHAs encompass all of B.C., so the classification is exhaustive of all the land area in the province.

Named point features (both fresh and marine) such as points of land, etc. Point names included as an attribute

The project (Quoddy Region Pelagics Telemetry) will support the assessment of the effects of aquaculture on the distribution and abundance of pelagic fishes (salmon, mackerel, herring) and large predators (shark, marine mammals) in Passamaquoddy Bay and the Bay of Fundy, an area of intense finfish culture. An acoustic receivers network is placed yearly (from April to December) across various passageways, locations of project-specific interest, and at aquaculture sites in the region. Tagged pelagic species will be tracked through the network to provide information on migration routes, movement speed, survival rates and suspected predators, and determine interaction and residence at aquaculture sites. The network was utilized for monitoring the passage of: hatchery-reared wild salmon (n=340) released in the Magaguadavic River in 2018, 2019 and 2021, wild alewives (n=30) from the St. Croix River in 2021, and farmed Atlantic salmon released in the wild (n=99) in 2021. The receiver network has more recently supported adjacent projects on the use of the region by white shark and porbeagle as well as the residence of mackerel, herring, and sculpin at farm sites. The receivers additionally support other researchers with detection of striped bass, Inner Bay of Fundy Atlantic salmon, sturgeon, and many other species. Placement of the network will continue into 2025 inclusive with the longer-term goal to eventually deploy an array covering the entrance to the Bay of Fundy. Cite this data as: Trudel, M., Wilson, B., Black, M. 2023. Assessing bay-scale impacts of aquaculture operations on the distribution and abundance of pelagic fishes and large predators. Accessed via the Ocean Tracking Network OBIS IPT in January 2025 (version 3.1). https://doi.org/10.14286/xfa6sr