The Fish Habitat Management System for Yukon Placer Mining replaced the Yukon Place Authorization (YPA) in 15 Yukon watersheds on April 11, 2008. Founded on principles of adaptive management and incorporating a risk-based approach to decision-making, the system is intended to balance the objectives of a sustainable Yukon placer mining industry with the conservation and protection of fish and fish habitat supporting fisheries Adaptive management recognizes that the effectiveness of any management system is hampered by a degree of uncertainty and lack of knowledge. It seeks to improve the system by monitoring the effects of management actions, in order to learn from the results. The Adaptive Management Framework for Yukon placer mining is complemented by traditional knowledge and water quality objectives monitoring, aquatic health monitoring and economic health monitoring programs. The results should provide new information and a rational basis for making any adjustments required to achieve the two management objectives. The water quality objectives monitoring program is governed by the Water Quality Objectives Monitoring Protocol. The Protocol describes the locations, timing, frequency and methods employed during sampling, as well as the methods used to analyze sampling data. Precipitation data was collected from a variety of sources to assist in the interpretation of results. The water quality objectives monitoring program relies upon both continuous sampling and grab sampling. Continuous sampling is performed by automated instruments that pump water from the creek or river at a preset volume and at precise times each day. Grab samples are taken by personnel at a selected location, depth and time. Normally the quantity of water taken is sufficient for all the physical and chemical analyses that will be done on the sample. Grab sampling is also performed during sampling "blitzes", when single grab samples are collected from as many sites as possible within a short timeframe in order to get a snapshot of the water quality in a watershed over a 24 hour period.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)

Between 2001 and 2004 a descriptive and comparative investigation of the benthic macro-infauna in 17 pockmarks and 10 reference locations outside pockmarks in Passamaquoddy Bay-Bay of Fundy- was made. This dataset contains the locations of the grab samples for each pockmark in the study area, the taxon abundance identified in each sample and the georeferenced video transect from 2004 using a towcam- an underwater, bottom referencing vehicle on which floodlights, analogue video- and digital still-camera were mounted.For more information of the data: Wildish DJ, Akagi HM, McKeown DL, Pohle GW (2008) Pockmarks influence benthic communities in Passamaquoddy Bay, Bay of Fundy, Canada. Mar Ecol Prog Ser 357:51-66. https://www.int-res.com/abstracts/meps/v357/p51-66/

We evaluated an autonomous environmental DNA sampler produced by Dartmouth Ocean Technologies Inc (Dartmouth, Canada) compared to time-at-sample filtration in the laboratory to determine the performance of moored samplers for monitoring in the marine world. We deployed three autonomous samplers from DOT in the Bedford Basin (Canada) over a nine-week period in summer/fall 2023. The samplers filtered seawater in situ at programmed interviews over this time period, and we collected contemporaneous samples with a standard vacuum pump during each sampling period. Both eDNA sample types captured similar fish diversity, including typical diversity for the Northwest Atlantic. The invertebrate community detected using the COI marker was different between each sample type, likely due to differences in filter pore size. We found biofouling on the moored samplers was minimal over the study period, even in a high-traffic area such as the Bedford Basin, likely due to the relatively short experimental period, and copper screening covering in the inlet and outlet valves of the instruments. Overall, our results show promise to deploy autonomous eDNA samplers in marine conservation areas to contribute to monitoring in the temperate ocean, but further testing over longer periods of time is needed to determine if DNA remains well-preserved in the autonomous samplers at ambient ocean temperatures.Cite this data as: Jeffery, N.W., Van Wyngaarden, M., and Stanley, R.R.E. Evaluating an Autonomous eDNA Sampler for Marine Environmental Monitoring: Short- and Long-Term Applications. Published: December 2024. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS.

Fisheries and Oceans Canada (DFO) selected the Manicouagan Peninsula area as a site of interest for the possible establishment of a Marine Protected Area (MPA) in 1998. With this in mind, DFO conducted surveys to assess benthic biodiversity between 2006 and 2008. During the various campaigns, more than a hundred stations were sampled using various tools to target epibenthic and endobenthic species. Various tools were used during the three years of sampling, including an SM (Smith-McIntyre) grab with an area of 0.1 m² and a height of 20 cm, an IKU-type grab with a surface area of 1.5 m² and a height of 50 cm, and a hydraulic dredge measuring 1.36 m wide and 0.66 m high with a net mesh size of 2.3 cm. As the dredge clogged fairly quickly, small organisms were collected in abundance. In 2006 and 2007, a camera mounted on a sled pulled by a boat along transects of varying lengths depending on the sampling campaign collected images (3,008 x 2,000 pixels) every 10 seconds, representing a seabed area of 40 x 40 cm.The data are presented in Darwin Core format in the file “donnees_manicouagan_data” The available data include taxonomic identifications of samples (individuals collected or identified in images) as well as metadata related to stations, including sampling date, depth, and geographic coordinates. Please note that the depths are for informational purposes only, since the bathymetry is very steep in this region.Further details on sampling can be found in the following report: Provencher, L et Nozères, C. 2011. Protocole de suivi des communautés benthiques de la zone de protection marine Manicouagan. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/051. iv +25 p. https://waves-vagues.dfo-mpo.gc.ca/library-bibliotheque/344357.pdf

Get data on Lake Ontario tagged Atlantic salmon recaptures. This dataset represents tagged adult Atlantic salmon that were released and then recaptured by anglers. These fish were used as brood stock (breeding) in the Ministry of Natural Resources and Forestry’s fish culture program. All fish were tagged with a streamer tag near the dorsal fin. Each tag has a unique number and a phone number so anglers can call and let the ministry know about their catch. The data includes: * tagging date * recapture date * tag number/colour * location released * location recaptured * days since released * distance travelled

The Great Lakes Fish Biodiversity Science Database is a compilation of fish community and habitat data from DFO Science surveys, primarily related to freshwater fishes of conservation concern in the Great Lakes basin. Data include: sampling site location, date, fish species and counts, and associated habitat information. Project-specific details including purpose/objectives and study methodology are often reported in the DFO Canadian data report of fisheries and aquatic sciences series.

The Airborne Radionuclide Concentrations (ARC) Dataset is a general dataset of airborne radionuclide concentrations analyzed at the Radiation Protection Bureau (RPB). The RPB is responsible for delivering Health Canada’s program in the area of ionizing radiation protection. This dataset includes radionuclide concentrations at locations in RPB’s Canadian air monitoring networks including its Comprehensive Nuclear Test-Ban Treaty (CTBT) stations and the Canadian Radiological Monitoring Network (CRMN). The dataset may also include additional airborne radionuclide concentration data from other networks, fieldwork and any additional data collected during emergencies.The dataset shows concentrations of airborne radionuclides that were targeted for analysis and detected, for example, Beryllium-7 (7Be), Lead-210 (210Pb), Cesium-134 (134Cs), Cesium-137 (137Cs), Iodine-131 (131I), Xenon-133 (133Xe), and Xenon-135 (135Xe), among others. The data is presented in xml file format, selected to conform to the International Atomic Energy Agency’s (IAEA) International Radiological Information Exchange (IRIX) Format. The IRIX format is used to facilitate the exchange of web-based emergency data and information to help organizations respond to radiological incidents and emergencies.The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

The Ontario Vector Topographic Data Cache is a collection of topographic data, that has been preprocessed for fast, seamless display at predefined scales. The topographic data includes constructed and natural features that make up Ontario’s landscape. The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories. __Technical information__ Two versions of the Topographic Data Cache are available: 1. The traditional raster version is available for a variety of GIS applications and is updated annually. 2. The vector version is suitable for online web map applications as well as modern GIS software and is updated twice a year. Contributing data layers may have different maintenance and update cycles. Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data. The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data. The Ontario Vector Topographic Data Cache is created from many source datasets, which are described in the Ontario Vector Topographic Data Cache user guide. If you are interested in getting this authoritative data, you can download it from the [Ontario GeoHub](http://www.ontario.ca/geohub). For instructions on getting a copy of either version of the cache for use in mapping applications, visit the [Ontario GeoHub](http://www.ontario.ca/geohub).

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org)Collection:- **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**