Land Plats illustrate in map view the oil or gas Spacing Areas delimited in a pool, and names the geological formation in which the pool is recognised. Land Plats are the sole official record of where the Director of PandNG Titles Branch recognizes a pool of hydrocarbons to exist for the purpose of administering oil and gas title

These datasets show commercial fisheries catch weight landings of directed fisheries and bycatch from the Scotian Shelf, the Bay of Fundy, and Georges Bank from NAFO Divisions 4VWX and the Canadian portions of 5Y and 5Z. Five-year composite maps (2019–2023) that aggregate catches for each map series are publicly available. The maps aggregate catch weight (kg) per 10 km2 hexagon grid cell for selected species, species groupings and gear types to identify important fishing areas. These maps can support decision making in coastal and oceans management, including marine spatial planning, environmental emergency response operations and protocols, Marine Stewardship Council certification processes, marine protected area networks, and ecological risk assessment.Reported catch locations may have rounded coordinates or contain errors. Although some errors have been corrected, it is assumed that additional errors remain in the data. These datasets have been filtered to comply with the Government of Canada's privacy policy. Privacy assessments were conducted to identify DFO unit areas containing data with less than five vessel IDs, licence IDs or fisher IDs. If this threshold was not met, catch weight locations were withheld from these unit areas to protect the identity or activity of individual vessels or companies.Maps were created for the following species, species groupings and gear types:1. Groundfish (all species)2. Groundfish Bottom Trawl3. Groundfish Bottom Longline4. Groundfish Gillnet5. Groundfish (seasonal composites)6. Atlantic Cod7. Atlantic Cod, Haddock and Pollock8. Flatfish9. Atlantic Halibut10. Greenland Halibut (Turbot)11. Hagfish12. Cusk13. Dogfish14. Redfish15. Red Hake16. Silver Hake17. White Hake18. Monkfish19. Sculpin20. Skate21. Wolffish22. Squid23. Herring24. Mackerel25. Herring and Mackerel Gillnet26. Purse Seine27. Large Pelagics28. Bluefin Tuna29. Other Tuna30. Swordfish31. Snow Crab32. Other Crab33. Scallop34. Scallop (seasonal composites)35. Offshore Clam36. Shrimp Trawl37. Shrimp Trap38. Offshore Lobster39. Disputed Zone Area 38B Lobster40. Whelk

Fisheries and Oceans Canada (DFO) conducts research and undertakes monitoring surveys of the marine and freshwater environment in support of sustainable fisheries, healthy aquatic ecosystems and living resources, and safe and effective marine services. In an effort to effectively inform and ensure Canadians feel engaged in the delivery of its science mandate, DFO produces Fieldnotes, an annual compendium of planned science field operations in the North Pacific and Arctic oceans, as well as in the coastal and interior waters of British Columbia and Yukon.

Data set covers metrics and metadata related to wild collected copepods Calanus spp. (C. hyperboreus, C. glacialis, C. finmarchicus) and Metridia longa: - body size in prosome length [PL]- dry weight [DW]- lipid content (oil sac area [OSA] and oil sac volume [OSV])Spatial coverage: North Atlantic sampling sites- Scotian Shelf (SS)- Gulf of Saint Lawrence (GSL)- Gulf of Maine-Georges Bank-Nantucket Shoals (GoM)- Newfoundland shelf (NFL)Cite this data as: Helenius LK, Head EJH, Jekielek P, Orphanides CD, Pepin P, Plourde S, Ringuette M, Walsh HJ, Runge JA, Johnson CL. Calanus spp. size and lipid content metrics in North Atlantic, 1977-2019. Published September 2022. Ocean Ecosystem Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/72e6d3a1-06e7-4f41-acec-e0f1474b555b

The locations of wells that have been drilled for oil production, gas or salt resources or for underground storage of hydrocarbons. This data can be used for land use and resource management, emergency management, as well as compliance and enforcement in the petroleum industry. The Data is collected on an on-going basis and maintained in the Ontario Petroleum Data System (OPDS).

Hydraulic properties characterize a hydrogeological unit. The hydraulic properties considered for this dataset are the transmissivity, the hydraulic conductivity, the storage coefficient, the specific storage coefficient and the porosity. Hydraulic properties are estimated by performing aquifer tests (pumping tests, slug tests). The hydraulic tests and their duration are managed in this dataset. The methods used to create the dataset are described in the metadata associated with the dataset. The dataset exhibits a general description of hydraulic properties of the hydrogeological unit, including hydraulic test, total test duration, method and date. It includes numbers and/or ranges describing the aquifer tests results. Note that an alternate raster representation could be used in complement to the discrete point-based representation.

These datasets show commercial fisheries catch weight landings of directed fisheries and bycatch from the Scotian Shelf, the Bay of Fundy, and Georges Bank from NAFO Divisions 4VWX and the Canadian portions of 5Y and 5Z. Atlantic Canadian inter-regional maps of four species (Atlantic Halibut, Bluefin Tuna, Redfish and Scallop) are also included from NAFO Divisions 4RST, 3KLMNOP, and 2GHJ. Five-year composite maps (2014–2018) that aggregate catches for each map series are publicly available. The maps aggregate catch weight (kg) per 10 km2 hexagon grid cell for selected species, species groupings and gear types to identify important fishing areas. These maps may be used for decision making in coastal and oceans management, including marine spatial planning, environmental emergency response operations and protocols, Marine Stewardship Council certification processes, marine protected area networks, and ecological risk assessment.These datasets have been filtered to comply with the Government of Canada's privacy policy. Privacy assessments were conducted to identify NAFO unit areas containing data with less than five vessel IDs, licence IDs or fisher IDs. If this threshold was not met, catch weight locations were withheld from these unit areas to protect the identity or activity of individual vessels or companies.Maps were created for the following species, species groupings and gear types:1. Groundfish (all species)2. Groundfish Bottom Trawl3. Groundfish Gillnet4. Groundfish Bottom Longline5. Groundfish (quarterly composites Q1, Q2, Q3, Q4)6. Atlantic Cod7. Atlantic Cod, Haddock and Pollock8. Flatfish9. Atlantic Halibut10. Greenland Halibut (Turbot)11. Hagfish12. Cusk13. Dogfish14. Redfish15. Red Hake16. Silver Hake17. White Hake18. Monkfish19. Sculpin20. Skate21. Wolffish22. Squid23. Herring24. Mackerel25. Large Pelagics26. Bluefin Tuna27. Other Tuna28. Swordfish29. Porbeagle, Mako and Blue Shark30. Snow Crab31. Other Crab32. Scallop33. Scallop (quarterly composites Q1, Q2, Q3, Q4)34. Offshore Clam35. Shrimp36. Offshore Lobster37. Disputed Zone Area 38B Lobster38. Whelk

This dataset represents meat weight and shell height data of commercial size Sea Scallop (Placopecten magellanicus; ≥ 80 mm shell height) from 2011-2023 from the Bay of Fundy Inshore Scallop Survey collected from June to mid-August. Wet meat weights were recorded to a tenth of a gram and shell heights are measured in millimeters. Meat weights and shell heights are sampled from a subset of scallops caught on survey and this detailed sampling is conducted from approximately half of the tows conducted. Each row in the dataset represents an individual scallop and contains information such as tow number, tow date, cruise name, geographical coordinates (decimal degrees, WGS 84) and the Scallop Production Area in which the tow took place. Survey protocols are documented in Glass (2017). This dataset contains tow data from a comparative survey conducted in 2012 (Smith et al., 2013). Further, these data correspond to the publication of Hebert et al. (2025).ReferencesGlass, A. 2017. Maritimes Region Inshore Scallop Assessment Survey: Detailed Technical Description. Can. Tech. Rep. Fish. Aquat. Sci. 3231: v + 32 p.Hebert, N, Sameoto, J.A., Keith, D.M., Murphy, O.A., Brown, C.J., Flemming, J. 2025. Interannual variability in the length–weight relationship can disrupt the abundance–biomass correlation of sea scallop (Placopecten magellanicus). ICES. J. Mar. Sci. Smith, S.J., Glass, A., Sameoto. J., Hubley, B., Reeves, A., and Nasmith, L. 2013. Comparative survey between Digby and Miracle drag gear for scallop surveys in the Bay of Fundy. DFO Can. Sci. Advis. Sec. Res. Doc. 2012/161. iv + 20 p.Cite this data as: Sameoto, J.A. Data of: Bay of Fundy Sea Scallop Meat Weight and Shell Height Data 2011 to 2023. Published: December 2025. Population Ecology Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/65d32794-2d81-4682-b0ea-8d8bbe907a58

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

The Fishery Operations System (FOS) is the Department of Fisheries and Oceans Canada’s (DFO) centralized Oracle database that holds commercial salmon fishery catch, effort and biological data. The FOS database was built in 2001 and continues to be the current repository for all data pertaining to DFO’s Pacific Region Commercial Salmon Logbook program.The Commercial Salmon Logbook program was initiated in 1998 with fleet wide participation made mandatory during the 2001 season. The program requires all commercial salmon fishers to record their daily catch and effort information in a harvest logbook and to subsequently report it to DFO using a service provider within deadlines defined in the conditions of licence. A portion of the information collected from the logbook program contains fisher personal information and is therefore protected and un-releasable. Fishery Managers use the fisher reported catch and effort, in addition to information collected from other sources such as overflights, to calculate in-season catch estimates.NOTES:- This report contains ONLY commercial catch estimates; it DOES NOT include test fishing, recreational or First Nations data.- These figures are preliminary in-season catch estimates and are subject to change.- Consult the applicable Fishery Manager or Biologist as to the status of particular catch estimates- All catch estimates are reported in pieces (numbers of fish).- Catch estimates include adults and jacks combined.----------------------------------------------------------Pacific Fishery Management Areas (PFMAs):https://www.pac.dfo-mpo.gc.ca/fm-gp/maps-cartes/areas-secteurs/index-eng.html----------------------------------------------------------DFO Integrated Fisheries Management Plans (IFMP):http://www.pac.dfo-mpo.gc.ca/fm-gp/ifmp-eng.html ----------------------------------------------------------DFO Salmon Catch Statistics and Logbook Reports:http://www.pac.dfo-mpo.gc.ca/stats//smon/index-eng.htm----------------------------------------------------------Pacific Region Commercial Salmon Fishery Post-Season Catch Estimates, 1996 - 2004:https://open.canada.ca/data/en/dataset/82c7eaa7-7078-4d38-a880-25d53f00c579----------------------------------------------------------