INW - Inland water resources (inlandWaters)Inland water features, drainage systems, and their characteristics. For example, resources describing rivers and glaciers, salt lakes, water use plans, dams, currents, floods, water quality, and hydrographic charts

The study involved sampling during a winter subsistence fishery at Brock Lake in November 2003, and a physical, chemical and biological assessment of the lake in July 2004 and July 2005. Data including physical, chemical and biological variables were published as Roux, M.-J., Harwood, L. A., Illasiak, J., Babaluk, J.A., and de Graff, N. 2011. Fishery resources and habitats in a headwater lake of the Brock River, NT, 2003-2005. Can. Manuscr. Rep. Fish. Aquat. Sci. 2932: viii + 61 p.

The study involved sampling during a winter subsistence fishery at Brock Lake in November 2003, and a physical, chemical and biological assessment of the lake in July 2004 and July 2005. Data including physical, chemical and biological variables were published as Roux, M.-J., Harwood, L. A., Illasiak, J., Babaluk, J.A., and de Graff, N. 2011. Fishery resources and habitats in a headwater lake of the Brock River, NT, 2003-2005. Can. Manuscr. Rep. Fish. Aquat. Sci. 2932: viii + 61 p.

This dataset was compiled as part of a multiyear effort lead by Fisheries and Oceans Canada (DFO) to support sustainable aquaculture regulation in the Coast of Bays, an area of the south coast of Newfoundland. It is the second of a series aiming to provide an oceanographic knowledge baseline of the Coast of Bays.This dataset includes temperature, salinity, and dissolved oxygen concentration profiles collected during CTD surveys, each survey containing a varying number of casts/profiles taken within the area of interest. In total, 760 profiles from 11 surveys, executed over 276 stations, were collected from June 2009 to November 2013. Data were processed and quality controlled using the instrumentation manufacturer guidelines, custom tools as well as visual inspection. Data are provided in tab-delimited text-based format compatible with most data processing language and tools (e.g. MS. Excel) as well as with the Ocean Data View software (https://odv.awi.de/) for rapid visualisation. A summary of the CTD profiles and stations surveyed is also provided as a comma separated values (CSV) file.A full description of the data and of its use in the context of the motivating project can be found in http://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2017/2017_077-eng.html. Analyses from this dataset were presented during a Canadian Science Advisory Secretariat (CSAS) meeting which took place in St John’s in March 2015 (http://www.dfo-mpo.gc.ca/csas-sccs/schedule-horraire/2015/03_25-26b-eng.html) and from which a Science Advisory Report (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/SAR-AS/2016/2016_039-eng.html) and Proceedings (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/Pro-Cr/2017/2017_043-eng.html) were published.

The names of these rivers in the Bay of Fundy and Port Hawkesbury Area Response Plan (ARP) regions were obtained from Recovery Potential Assessments (see references), and cross referenced with the Atlas of Canada hosted online by Natural Resources Canada. These rivers were then identified and marked in ArcGIS using the Nova Scotia and New Brunswick Hydrographic Networks. Point features were used to represent the river mouths. For rivers large enough to be represented by polygon features, the point was placed where the polygon closed the inlet. For smaller rivers represented by a polyline, the point was placed where the line intersected the coastline. When multiple tributaries of a river were identified as salmon rivers, only the most seaward was marked.Cite this data as: Corrigan, S. Data of: Salmon Rivers Presence, Maritimes Region. Published: June 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/ded53eaa-bb98-4476-beea-3138372c740b

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.

Bay and Channel (fresh and marine) features and associated names

This dataset was compiled as part of a multiyear effort lead by Fisheries and Oceans Canada (DFO) to support sustainable aquaculture regulation in the Coast of Bays, an area of the south coast of Newfoundland. It is the first of a series aiming to provide an oceanographic knowledge baseline of the Coast of Bays.This dataset consists of GIS products and analyses summarized in a spreadsheet. The GIS data include vector shapefiles and raster TIFF images, providing information on the area of interest physical dimensions (e.g. bays area, volume, perimeter, length and width) and other physical characteristics (e.g. tidal volume and freshwater input).A full description of the data and of its use in the context of the motivating project can be found in http://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2017/2017_076-eng.html. Analyses from this dataset were presented during a Canadian Science Advisory Secretariat (CSAS) meeting which took place in St John’s in March 2015 (http://www.dfo-mpo.gc.ca/csas-sccs/schedule-horraire/2015/03_25-26b-eng.html) and from which a Science Advisory Report (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/SAR-AS/2016/2016_039-eng.html) and Proceedings (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/Pro-Cr/2017/2017_043-eng.html) were published.

Bay Scale Assessment of Nearshore Habitat Bras d'Or Lake - Wagmatcook 2007 data is part of the publication Bay Scale Assessment of Nearshore Habitat Bras d'Or Lakes. A history of nearshore benthic surveys of Bras d’Or Lake from 2005 – 2011 is presented. Early work utilized drop camera and fixed mount sidescan. The next phase was one of towfish development, where camera and sidescan were placed on one platform with transponder-based positioning. From 2009 to 2011 the new towfish was used to ground truth an echosounder. The surveys were performed primarily in the northern half of the lake; from 10 m depth right into the shallows at less than 1 m. Different shorelines could be distinguished from others based upon the relative proportions of substrate types and macrophyte canopy. The vast majority of macrophytes occurred within the first 3 m of depth. This zone was dominated by a thin but consistent cover of eelgrass (Zostera marina L.) on almost all shores with a current or wave regime conducive to the growth of this plant. However, the eelgrass beds were frequently in poor shape and the negative impacts of commonly occurring water column turbidity, siltation, or possible localized eutrophication, are suspected. All survey data were placed into a Geographic Information System, and this document is a guide to that package. The Geographic Information System could be used to answer management questions such as the placement and character of habitat compensation projects, the selection of nearshore protected areas or as a baseline to determine long term changes.Vandermeulen, H. 2016. Video-sidescan and echosounder surveys of nearshore Bras d’Or Lake. Can. Tech. Rep. Fish. Aquat. Sci. 3183: viii + 39 p.Cite this data as: Vandermeulen H. Bay Scale Assessment of Nearshore Habitat Bras d'Or Lake - Wagmatcook 2007. Published May 2022. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

A goal of the Government of Canada’s Coastal Environmental Baseline Program (CEBP) is to amalgamate historic environmental data from high vessel traffic areas. An extensive DFO biological sampling program was conducted from 1980 to 1981 on Sturgeon and Roberts banks located on the outer Fraser River estuary, BC, Canada. This report collates and simplifies three data sets: water quality and nearshore fish catch previously published as DFO Data Report 340 (Conlin et al.1982), and un- published weight-length (W-L) data for two locations on Sturgeon Bank (Iona and Steveston) and near Westshore Terminals (Coal Port) on Roberts Bank. W-L data were reconstructed from archived computer printouts using Optical Character Recognition methods. Analyses of water quality data indicate that the two banks provided different fish habitats with Sturgeon Bank having a greater freshwater influence. Although Iona area water quality was exposed to sewage outfall from a nearby sewage treatment plant, it appears that fish communities were not different from the other Sturgeon Bank area (Steveston). The fish communities were found to be different between the two banks with Roberts Bank having greater overall abundance and diversity. Interestingly, of the seven fish species used for condition factor analyses, five were found to have lower Relative Condition Factors in the Roberts Bank sampling area.