Modeled data showing the likely distribution of gray whales. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

Layer that includes the known information on potential haul-out sites for the harbour seal and gray seal in the Estuary and Gulf of St. Lawrence according to a literature review of documents produced between 1978 and 2000.Additional InformationPotential haul-out sites for the harbor seal and gray seal were produced according to a literature review of the following documents:Andersen, A. et M. Gagnon. 1980. Les ressources halieutiques de l'estuaire du Saint-Laurent. Rapp. can. ind. sci. halieut. aquat., 119: iv + 56 p.Argus Groupe-Conseil inc. 1992. Synthèse et analyse des connaissances relatives aux ressources naturelles du Saguenay et de l'estuaire maritime du Saint-Laurent. Parc marin du Saguenay. Service canadien des parcs, région du Québec.Biorex. 1995. Cartographie des ressources halieutiques et de leurs habitats dans l'estuaire moyen du Saint-Laurent. Rapport au ministère des Pêches et des Océans, Région du Québec, Division de la gestion de l'habitat du poisson. 36 p. + annexes. Biorex. 1996. Base de données géoréférencées sur les ressources halieutiques et leurs habitats : estuaire maritime du Saint-Laurent et fjord du Saguenay. Rapport au ministère des Pêches et des Océans, Région du Québec, Division de la gestion de l'habitat du poisson. Volume 1 : 38 p. + annexes et Volume 2 : 34 p. + annexes.Chevrier, V. 1994. Cartographie des habitats du poisson aux Îles-de-la-Madeleine. Rapport technique no. 1. Réalisé en collaboration avec le M.P.O., Attention Frag'Îles et la M.R.C. des Îles-de-la-Madeleine. 24 p. + 1 ann. + 36 cartes.Comité de la zone d'intervention prioritaire (ZIP) de la Côte-Nord du golfe. 1999. Inventaire des habitats côtiers et marins sensibles de la Basse-Cote-Nord : Rapport final, présenté à Pêches et Océans Canada par le Comité ZIP Côte-Nord du Golfe. 126 p.Comité de protection de la santé et de l'environnement de Gaspé inc. (C.P.S.E.G.). 1996.Communication personnelle par Carol Fournier, MPO. 1999. Communications personnelles par Gosselin, J-F-. 1996. Desaulniers, J. 1989. Étude des populations de pinnipèdes de l'Archipel-de-Mingan et relation entre l'activité de chasse au phoque et la sécurité publique 1987 à 1989. Parcs Canada. Région du Québec. Service de la conservation des ressources naturelles.Enquêtes auprès des pêcheurs. 1995.Lavigne, P.-J. 1978. La chasse estivale du phoque dans le Saint-Laurent. Rapport non publié. 65 p. Pêches et Océans Canada, Région du Québec.Lesage, Véronique. 2000. Communication personnel.Lesage, V., M. O. Hammill, and K.M. Kovacs. 1995. Harbour seal (Phoca vitulina) and Grey seal (Halichoerus grypus) abundance in the St. Lawrence estuary. Can. Manuscr. Rep. Fish. Aquat. Sci. 2307: iii + 19 p.Naturam Environnement inc. 1996. Caractérisation physique et biologique de l'habitat du poisson du secteur de Pointe-aux-Outardes. Realisé pour le compte de la Corporation du Parc régional de Pointe-aux-Outardes. 196 p.

Historical finds of Operophtera brumata

Historical finds of Pristiphora geniculata

This hexagonal polygon dataset identifies potential suitable nesting habitat for Northern Goshawk (NOGO) within the Cariboo Natural Resource Region.

This resource documents a dataset of epifauna occurrences collected in 2021 during The Knowledge and Ecosystem-Based Approach in Baffin Bay (KEBABB) program developed by the Department of Fisheries and Oceans Canada (DFO) in collaboration with university partners. The overall objective of KEBABB is to characterize the variability and trends in physical, chemical, and biological oceanographic conditions and food webs supporting fisheries in the connected ecosystems of western Baffin Bay and Lancaster Sound. In 2021, DFO expanded the KEBABB program to Barrow Strait (KEBABS-Knowledge and Ecosystem-Based Approach in Barrow Strait), a key productive area of the Tallurutiup Imanga National Marine Conservation Area. The study took place in the Eastern Canadian Arctic (mainly in Baffin Bay, Davis Strait and Barrow Strait). Sampling is done along transects at fixed stations in the study area. Catches are collected with a 1.5 m Agassiz trawl (5 mm mesh net) for 3 minutes bottom-contact time at a target speed of 1.5 knots and with a 3 m benthic beam trawl (6.4 mm mesh net) for 15 minutes bottom-contact time at a target speed of 3 knots. A total of 16 stations were sampled for epifauna in 2021 between 85-850 m depth. Epibenthic invertebrates are identified to the lowest possible taxonomic level and photographed. All unknown specimens are frozen. In the lab, the identifications are validated or refined with the photos and the frozen specimens.The data are presented in Darwin Core and are separated in two files:The “Activité_épifaune_KEBABB_epifauna_event_en” file which contains information about missions, stations and deployments, which are presented under a hierarchical activity structure.The “Occurrence_épifaune_KEBABB_epifauna_en” file that contains the taxonomic occurrences.Further details on sampling can be found in the following report: Pućko, M., Charette, J., Tremblay P., Brulotte S., St-Denis B., Ciastek S., Hedges, K., Kuzyk, Z., Roy V., and Michel, C. 2022. An ecosystem-based approach in the eastern Arctic: KEBABB/S (Knowledge and Ecosystem-Based Approach in Baffin Bay/Barrow Strait) 2021 expedition report. Can. Manuscr. Rep. Fish. Aquat. Sci. 3250: viii + 58 p. https://publications.gc.ca/collections/collection_2022/mpo-dfo/Fs97-4-3250-eng.pdfUSE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Distribution of dabbling duck species habitat in coastal British Columbia showing relative abundance (RA) by season and overall relative importance (RI). RI is based on project region and not on the province as a whole. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

Historical finds of Coleophora laricella

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are long-wave radiations emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Four types of products are currently generated from the GOES-West and GOES-East satellites: "NightIR" and "NightMicrophysics", at 2km resolution, are generated 24 hours a day with infrared channels, so are visible both night and day, and "NaturalColour" and "DayCloudConvection", at 1km resolution, which combine visible light channels with infrared channels; their higher resolution makes the latter two products more popular, but they are not available during most of the night (between 02UTC and 07UTC for GOES-Est, and between 06UTC and 11UTC for GOES-Ouest) given the absence of reflected sunlight. Other RGB products should be added gradually in the future to meet different needs.

A research survey on snow crab (Chionoecetes opilio) was conducted from July 1 to July 17, 2018 on the Lower North Shore of the Gulf of St. Lawrence between Havre-Saint-Pierre and Blanc-Sablon. The main objective of this survey was to assess the abundance of snow crab and benthic species associated with snow crab habitat. Only data for benthic species associated with snow crab habitat are presented in this dataset.Data were collected according to a fixed station sampling design consisting of 61 stations, between 46 and 230 meters depth. Specimens were collected using a beam trawl with a total width of 2.8 meters and a total height of 0.76 meters. The codend was lined with a 16 millimeter stretched mesh net in order to harvest the small individuals. The hauls were made at a target speed of 2 knots and a target duration of 10 minutes depending on seabed conditions. Start and end positions were recorded to calculate the distance traveled on each tow using the geosphere library in R. The average tow distance was approximately 25 m. The area covered at each tow was the product of the trawl opening and the distance traveled.The two files provided (DarwinCore format) are complementary and are linked by the "eventID" key. The "Activity_Information" file includes generic activity information, including date and location. The "occurrence_taxon" file includes the taxonomy of the species observed, identified to the species or lowest possible taxonomic level. To obtain the abundance and biomass assessment, contact Cedric Juillet (cedric.juillet@dfo-mpo.gc.ca).For quality controls, all taxonomic names were checked against the World Register of Marine Species (WoRMS) to match recognized standards. The WoRMS match was placed in the "ScientificIDname" field of the occurrence file. Special cases were noted in the "commentsIdentification" field and selected specimens were confirmed with field photos. Data quality checks were performed using the R obistools and Worms libraries. All sampling locations were spatially validated.