This dataset was developed to provide a complete record of salmon rivers within the province of Newfoundland and Labrador. It is organized by DFO detachment area and can be used for resource planning and management purposes. It is suitable for general mapping, visualization and query. It is derived from the National Hydro Network (NHN) data. The geodatabase contains feature datasets for each of the 8 DFO detachments in Newfoundland and Labrador (Bay Roberts, Clarenville, Goose Bay, Marystown, Rocky Harbour, Springdale, Stephenville, Twillingate). Each of the feature datasets contain 4 feature classes that describe aspects of the salmon rivers within each detachment area. The RiverBasins feature class contains polygons outlining the extent of each of the salmon river watersheds that fall within that DFO detachment area. Polygons were delineated using provincial DEMs, National Hydro Network (NHN) river features, the DFO detachment area boundary, and tools contained in the ArcHydro toolset for ArcPro GIS software. The SalmonNetwork feature class contains lines which show the flow (undirected) of the river network through each of the salmon river watersheds that fall within that DFO detachment area. The flow is depicted by lines that run through rivers and streams and through waterbodies. The lines were imported from the National Hydro Network (Primary Directed Flow feature class) and then organized by salmon river watershed, to create a dataset with one line feature for each watershed. The SalmonRivers feature class contains lines which show salmon rivers within each of the salmon river watersheds that fall within that DFO detachment area. The lines were imported from the National Hydro Network (SLWater feature class) and then organized by salmon river watershed, to create a dataset with one line feature for each watershed. Only "single-line" rivers are included. Larger, "two-sided" rivers are depicted as polygons in the "Salmon Waterbodies" dataset. This SalmonWaterbodies feature class contains polygons which show salmon waterbodies within each of the salmon river watersheds that fall within that DFO detachment area. The polygons were imported from the National Hydro Network (Waterbody feature class) and then organized by salmon river watershed, to create a dataset with one polygon feature for each watershed. Larger, "two-sided" rivers are also depicted as polygons in the "Salmon Waterbodies" dataset. The geodatabase contains attribute information on the name, zone and class of each salmon river as reflected in the following documents: (i) Anglers' Guide - Scheduled Salmon Rivers of Newfoundland and Labrador and (ii) Conservation and Protection - Scheduled Salmon Rivers & DFO Detachment Regions Newfoundland and Labrador. It also provides links to online information on current in-season status

This product provides the boundaries for the 25 drainage regions in Canada and the five ocean drainage areas. These drainage regions cover all of the area within the coastal boundaries of Canada. These files were produced by Statistics Canada, Environment, Energy and Transportation Statistics Division, 2009, special tabulation of data from Pearse, P.H., F. Bertrand and J.W. MacLaren, 1985, Currents of Change: Final Report of the Inquiry on Federal Water Policy, Environment Canada, Ottawa.

This dataset uses RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images to identify open water regions within ice-covered rivers during winter, with the aim to assess hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation. The data is processed with the HyRASS, a machine learning-based SAR image processing and classification algorithm. Disclaimer: This dataset was designed to identify open water regions within ice-covered rivers for assessing hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation and is subject to the following limitations: • This dataset was derived from RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images. While these images are generally reliable, they are subject to inherent limitations, including resolution constraints, potential distortion, and occasional inaccuracies in real-time conditions capture. • The HyRASS algorithm is designed to pinpoint open water areas using satellite images, with a particular emphasis on RCM quad polarization (QP) imagery. This specialization means that its effectiveness depends on the accessibility of this specific type of imagery. Consequently, the data it produces might not cover a broad spectrum of time periods. For more reliable results, it's essential to classify areas more regularly, ensuring that detected open water regions are consistent over time. This dataset is intended for preliminary assessment and should not be the sole basis for making critical decisions or investments related to hydrokinetic energy projects. Further validation and in-depth analysis are strongly recommended, and users should conduct their own due diligence and additional research to verify the data accuracy and relevance for specific applications. By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.

Le produit fournit les limites de 25 aires de drainage du Canada et de cinq aires de drainage océaniques. Ces aires de drainage couvrent toute la zone à l’intérieur des limites côtières du Canada. Ces fichiers ont été produits par Statistique Canada, Division de la statistique de l'environnement, de l'énergie et des transports, 2009, totalisation spéciale provenant de P.H. Pearse, F. Bertrand et J.W. MacLaren, 1985, Vers un renouveau : Rapport définitif de L'Enquête sur la politique fédérale des eaux, Environnement Canada, Ottawa.

Le produit fournit les limites de 25 aires de drainage du Canada et de cinq aires de drainage océaniques. Ces aires de drainage couvrent toute la zone à l’intérieur des limites côtières du Canada. Ces fichiers ont été produits par Statistique Canada, Division de la statistique de l'environnement, de l'énergie et des transports, 2009, totalisation spéciale provenant de P.H. Pearse, F. Bertrand et J.W. MacLaren, 1985, Vers un renouveau : Rapport définitif de L'Enquête sur la politique fédérale des eaux, Environnement Canada, Ottawa.

This dataset comprises a map of inland water bodies in Canada and neighboring regions, as described by Ghayourmanesh et al. (2024). The data are mapped using the Lambert Conformal Conic (LCC) geographic projection with a spatial resolution of 250 meters. The LCC projection is frequently used as a standard projection at the Canada Centre for Remote Sensing (CCRS) (Trishchenko et al., 2016, Trishchenko, 2019). Each pixel value represents a code describing either the probability of inland water presence or land/ocean(sea) mask

PURPOSE: Estimation of Atlantic salmon smolt abundance in the Restigouche watershed. DESCRIPTION: Each spring (May-June), DFO installs a Rotary Screw Trap (RST; smolt wheel) on the Kedgwick river, a tributary of the Restigouche River. The number of individuals of each species of fish caught in the trap is recorded, and length and weight are measured for a portion of Atlantic salmon smolts captured. All Atlantic salmon smolts captured in the RST are tagged with uniquely-numbered polyethylene streamer tags and released upstream of the trap with the intention of using their rate of recapture to estimate the efficiency of the trap and the abundance of smolts (Capture-Mark-Recapture experiment). PARAMETERS COLLECTED: species counts (ecological); point (spatial); capture-mark-recapture data for Atlantic salmon smolts (ecological) NOTES ON QUALITY CONTROL: The data is stored in a relational database and therefore benefits from referential integrity between tables and observations. The database also defines data types for columns of the tables, ensuring a degree of consistency across observations. The field data sheets are also entered into a web app which provides an additional layer of quality control. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Water temperature and water level are significant environmental factors affecting ecology of anadromous fish. Large-scale freshwater monitoring networks remain sparse, yet environmental protocols rely heavily on water temperature and water levels to assist decision making on river closures. Our river monitoring project in Newfoundland and Labrador provides river water temperature and river water level for salmon rivers across the province. 72 temperature loggers are deployed across 24 river systems in Newfoundland and Labrador. Temperature loggers are deployed in approximately 30 cm of water and remain in river year-round. Loggers consist of Onset level loggers, tidbit loggers, and pendants or Innovasea minilogs. Some loggers are deployed in duplicate at locations to provide data redundancy in event of equipment loss or failure. Equipment is monitored throughout the season to ensure proper placement in water columns, with downloads taking place during monitoring trips.

Fisheries and Oceans Canada (DFO), in partnership with other government organizations, indigenous groups, and community stakeholders, monitor the migratory return of Atlantic salmon to rivers each season. In Newfoundland and Labrador, there are 15 management areas, known as Salmon Fishing Areas (SFAs), with over 400 rivers containing populations of spawning salmon. Each year, salmon populations are enumerated at monitoring facilities (counting fences or fishways) on several rivers throughout the province. Monitoring begins in April or May for the downstream smolt run and in June or July for the upstream adult run and varies in timing by year and river. Not all rivers are monitored annually and years with incomplete data are often attributable to environmental factors that delay or stop monitoring during a season (e.g. fence washout due to elevated water levels). Days with zero counts can be attributable to no fish and/or closures to the monitoring facility. While monitoring facilities are used primarily to count Atlantic salmon, other freshwater fish may also be enumerated if encountered. The counts from these monitoring facilities, in addition to angling information and other monitoring activities, provide information for estimating returns for the annual stock assessment, which is an important part of conservation and management of Atlantic salmon populations in Newfoundland and Labrador. This data contains information for Atlantic salmon only.

This dataset identifies potential low head hydropower development sites across Canada, based on a comprehensive review of existing studies and resource databases. Low head hydropower refers to sites where the vertical drop (head) is 15 meters or less. Sites included in this dataset also have an estimated generation capacity of 50 megawatts (MW) or less. The original database was developed by Hatch Ltd. for Natural Resources Canada (NRCan) as part of a national low head hydropower market assessment. It integrates data from multiple sources, including provincial inventories, prior Hatch studies, and legacy fieldwork records. To enhance data completeness, NRCan subsequently revised the database by supplementing missing site names, river names, and geographic coordinates where possible. The finalized dataset comprises 2,629 potential low head hydropower sites distributed across Canada. It is provided in the form of provincial and territorial shapefiles, each containing detailed site-level attributes. Attributes include site name, river name, site ID, source of information, local map number, geographic coordinates (X and Y), site region, presence of a dam, grid connection status, Indigenous affiliation, catchment area, mean annual flow, rated discharge, gross head, penstock length and diameter, estimated installed capacity, dedicated transmission line length, site comments, and Indigenous reserve name. Disclaimer: This dataset was developed to support preliminary assessments of low head hydropower potential in Canada and is subject to the following limitations: • The original database was compiled from various secondary sources, including data provided by third-party contributors and Hatch Ltd.’s own records. Some of these sources date back several decades. The data provided has not necessarily undergone independent verification for its accuracy, completeness, or validity. • NRCan undertook a data revision process involving manual review and geolocation using publicly available mapping tools (e.g., Google Maps) to address missing information. Where geographic coordinates could not be reliably determined, this is explicitly indicated in the dataset. • Site conditions may have changed over time due to natural processes or human activities. NRCan does not accept responsibility for any impact such changes may have on the accuracy or validity of the dataset’s observations, conclusions, or recommendations. • The inclusion of a site in this dataset does not imply technical, economic, or environmental feasibility. Any potential development would require further investigation, including detailed field studies, environmental assessments, and comprehensive technical and financial evaluations. This dataset is provided for informational purposes only and is not intended to serve as the sole basis for investment, planning, or development decisions. Users are strongly advised to undertake independent due diligence, including site-specific assessments and technical evaluations, prior to making any decisions based on the dataset. By accessing or using this dataset, users acknowledge and accept these terms and limitations. The dataset providers expressly disclaim any responsibility or liability for consequences resulting from the use, interpretation, or reliance on the information contained herein. Use of this dataset is entirely at the user’s own risk, and users assume full responsibility for any actions or decisions made based on its contents. This disclaimer is provided in accordance with applicable laws and regulations. By utilizing the dataset, users agree to release the dataset providers from any legal claims, damages, or liabilities that may arise from such use.