Fish stocking data for recreational fishing purposes. Contains: * stocking data for the past 10 years for species where the purpose of the stocking event was to promote recreational fishing. This is a subset of data from the fish stocking information system. This data can also be obtained through the [Fish ON-Line application](http://www.ontario.ca/fishonline). For information on where stocking occurs for research or rehabilitation purposes, contact a local Ministry of Natural Resources and Forestry district office. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

This dataset contains information on fish stockings since 1917 in Manitoba waterbodies with details on date of stocking, amount of fish, size of fish and species of fish.Stocking Data is a point layer representing individual stocking events dating back to 1917. Each record contains information such as waterbody name, fish species, fish size and quantities, as well as the fishing division of the waterbody. Stocking data is updated multiple times per year as the Province of Manitoba Hatchery conducts stocking. The stocking data layer, along with related information, can be found at the Manitoba Lake Information For Anglers app. The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries. The dataset includes the following fields (Alias (Name): Description) Waterbody ID (WATERBODY_ID): Unique identifier for an individual waterbody. Waterbody Name (WATERBODY_NAME): Name of the waterbody that was stocked. Fishing Division (FISHING_DIVISION): Indicates which fishing division the waterbody is located in and where stocking event took place. Year (YEAR): Year of the stocking event. Date (DATE): Date of the stocking event. Species (SPECIES): Species that was stocked. Size (SIZE): Size of the fish that were stocked. Quantity (QUANTITY): Approximate number of fish stocked. Lat (DD) (LAT_DD): Latitudinal coordinates of the stocking event (if recorded, otherwise the representative centroid of the waterbody) in decimal degrees. Long (DD) (LONG_DD): Longitudinal coordinates of the stocking event (if recorded, otherwise the representative centroid of the waterbody) in decimal degrees. Waterbody Lat (WATERBODY_LAT): Latitudinal coordinates of the representative centroid of the waterbody in decimal degrees. Waterbody Long (WATERBODY_LONG): Longitudinal coordinates of the representative centroid of the waterbody in decimal degrees.

Get data on fish stocking records from 1900 - 2012. This dataset is the most complete collection of historical fish stocking records available for the time period 1900 to 2012. It includes: * data source * species * rearing location * developmental stage * stock strain * spawning year * stocking date Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

Fish stocking records from Nova Scotia fish hatcheries. Includes trout and salmon stocking, size, number, location, stock and growth stage. Records contain both fall and spring distributions.

Standards Units for an opening represents desired soil conservation limits and stocking outcomes for the defined net area to be reforested. An opening may have one or more standard units. Standards Units may not overlap. Older records may not have standard unit maps available. Stocking standards represent legal silviculture obligations for harvested areas for the defined standard units. This is part of the Silviculture and Land status Tracking dataset, which includes tracking achievement of silviculture obligations on Crown Land

The stocking dashboard provides interactive access to Manitoba waterbody information. Filters can be combined to narrow down the waterbodies by: fishing division, waterbody name, fish species, and year stocked.The stocking dashboard is an interface that allows for interactively accessing fish stocking information. It allows filtering and searching for information about stocked lakes. Filters are based on the year of stocking, the fish species stocked, and the fishing division in which the stocking took place. All of these filtering abilities can be compounded to allow users to more effectively find and display information that they are interested in. The dashboard uses the stocking map as its primary tool for users which provides a visual of the filtering options applied. Widgets allow for resetting data to home state view, legend for onscreen features, layers to toggle on and off and ability to change base map options. Additionally there are statistics displayed for total fish stocked, fish stocked in past five years, and fish stocked in the years selected. The latter two statistics are dynamic and update depending on the filters used. This dashboard, along with related information, can be found in the Manitoba Lake Information for Anglers application, an interactive tool for anglers to access waterbody information.   The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries.

To develop a database of high quality CTD observations at key locations in DFO’s Pacific Region, 22 stations have been selected for sampling as often as possible. Chief Scientists of DFO vessels with CTD equipment on board are asked to acquire a CTD profile at as many of these stations as possible. There may be circumstances that will prevent conducting a CTD cast but the intent is to collect as many as possible such that over time useful time series of CTD profiles will be available at these locations.

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

This collection is a legacy product that is no longer supported. It may not meet current government standards.This inventory presents chronologically the satellite images acquired, orthorectified and published over time by Natural Resources Canada. It is composed of imagery from the Landsat7 (1999-2003) and RADARSAT-1 (2001-2002) satellites, as well as the CanImage by-product and the control points used to process the images.Landsat7 Orthorectified Imagery: The orthoimage dataset is a complete set of cloud-free (less than 10%) orthoimages covering the Canadian landmass and created with the most accurate control data available at the time of creation.RADARSAT-1 Orthorectified Imagery: The 5 RADARSAT-1 images (processed and distributed by RADARSAT International (RSI) complete the landsat 7 orthoimagery coverage. They are stored as raster data produced from SAR Standard 7 (S7) beam mode with a pixel size of 15 m. They have been produced in accordance with NAD83 (North American Datum of 1983) using the Universal Transverse Mercator (UTM) projection. RADARSAT-1 orthoimagery were produced with the 1:250 000 Canadian Digital Elevation Data (CDED) and photogrammetric control points generated from the Aerial Survey Data Base (ASDB).CanImage -Landsat7 Orthoimages of Canada,1:50 000: CanImage is a raster image containing information from Landsat7 orthoimages that have been resampled and based on the National Topographic System (NTS) at the 1:50 000 scale in the UTM projection. The product is distributed in datasets in GeoTIFF format. The resolution of this product is 15 metres.Landsat7 Imagery Control Points: the control points were used for the geometric correction of Landsat7 satellite imagery. They can also be used to correct vector data and for simultaneously displaying data from several sources prepared at different scales or resolutions.

Monitoring of Unit 2 redfish by Fisheries and Oceans Canada (DFO) ceased in 2002. Since then, the Atlantic Groundfish Council (AGC, formerly the Groundfish Enterprise Allocation Council [GEAC]) has funded surveys approximately every two years in the area, in collaboration with DFO. Over the years, various vessels and gear types have been used. In 2024, a comparative survey was conducted using the CCGS John Cabot and a fishing industry vessel (the Léry Charles) to develop conversion factors that allow data from the 2020, 2022, and 2024 Unit 2 redfish surveys to be standardized to CCGS John Cabot equivalents. The survey covered the waters off southwestern Newfoundland and eastern Cape Breton, corresponding to redfish management Unit 2, which includes NAFO subdivisions 3Pn, 3Ps, 4Vn, 4Vs, and 4W. Here, data collected aboard the CCGS John Cabot are presented. Objectives• Assess the abundance and condition of groundfish and invertebrates• Assess environmental conditions• Inventory the biodiversity of benthic and demersal megafauna• Monitor the pelagic ecosystem• Collect samples for various research projectsData The CCGS John Cabot employed a four-sided modified Campelen 1800 shrimp trawl, fitted with a Rockhopper ("bicycle") footgear. The trawl extension and codend were lined with 12.7 mm knotless nylon mesh. Standard trawl tows were 15 minutes in duration, timed from bottom contact, with a target towing speed of 3 knots.For each fishing tow, the catch is sorted and weighed by taxa; individuals are then counted and biological data are collected on a subsample. For fish, crab and squid, size and weight are measured by individual and, for some species, sex, gonad maturity, and the weight of certain organs (stomach, liver, gonads) are also evaluated. The soft rays of the anal fin are counted for redfish, and the otoliths are sampled for several species such as Atlantic cod, Atlantic halibut, and Greenland halibut. Roughly 2-kg of shrimp are sorted and weighed by species. The other invertebrates are counted (no individual measurements) and photographed.The biological data are divided into 3 files: a “Stations” file containing set information, a “Catches” file containing catches per set for all species caught and a “Carbio” file containing biological and morphometric measurements per individual all species measured except shrimps. The columns source_info, no_survey, nbpc and station_number serve as a common key linking the three datasets. To further link the “Captures” and the “Carbio” files to the species level (for fish and certain invertebrate species), use the columns source_info, no_survey, nbpc, station_number, strap_code, and category. Further shrimp biological and morphometric data are available but are not presented here in order to simplify data presentation. For access to the complete information, please contact the data management team (gddaiss-dmsaisb@dfo-mpo.gc.ca). The latest published data is preliminary and will be updated at the end of January of the following year.It is important to note that this is raw data. Only sets considered successful are retained. In each set, all species are kept, with a few exceptions. Data is available from 1997-2022 but please contact the data management team (gddaiss-dmsaisb@dfo-mpo.gc.ca) for access and further details. For any other information please also contact the data management team.