This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022. This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022. The data is also classified by its Slaughter Class: Cattle, Swine, Chiken,  Spent layer hens, Ducks, Geese, Rabbits, Spent Breeder hens, 5 kg and under, Bison, Elk, Goats, Horses, Lambs, Llama/Alpaca, Mature turkey, over 11 kg, over 5 but no more than 7 kg, over 7 but no more than 9 kg, over 9 but no more than 11 kg, Sheep, and Wild boars.Field Names (Field Alias): Field description.SlaughterFigureID (SlaughterFigureID): unique indexed number assigned to each record in the database. BodyPart (BodyPart): code for the different body parts affected in partial condemnations. CondemnationReasonCode (CondemnationReasonCode): code for all the different reasons for condemnation. CondemnationType (CondemnationType): This identifies whether the condemnations are either Whole or Partial. SlaughterYear (SlaughterYear): Year when the slaughter occurred. NumberSlaughtered (NumberSlaughtered): Total number of animals slaughtered during the indicated period of time. NumberCondemned (NumberCondemned): Total number of animals condemned (whole) or total  number of parts of animals condemned (partial) during the indicated period of time. SlaughterClass (SlaughterClass): Species or class of the animal or part of the animal condemned. Quarter (Quarter): Number of the quarter.                   - January to March – 1                     - April to June – 2                     - July to September – 3                     - October to December - 4 QuarterYear (Quarter/Year): Corresponding quarter and year.

This map service provides access to most of the Resource Map datasets shown on the GeoAtlas application. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule. This map service is used by the GeoATLAS web application, sub-section Resource Map in the Mineral Exploration theme. It includes Base Metals Potential, Coal Potential, Gold Potential, Helium Potential, Bitumen (Oil Sands) Potential, Lithium Potential, Potash and Salt Resource Potential, Rare Earth Elements Potential and Uranium Potential schema in Production Data Warehouse. Note: Oil and Gas pools are found in the /Petroleum service.

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.

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.

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.

[ARCHIVED] This dataset has been archived as it is no longer able to be provided in this manner. For a more current version of this elevation dataset, please refer to https://nsgi.novascotia.ca/datalocator/elevation/ to access the current catalogue of available elevation products. Elevation data (LiDAR) was captured for a select group of 1:2000 scale map sheets covering the Town of Antigonish. This LiDAR data has not been classified and is a raw data record of all the returns from the LiDAR sensor. The nominal point spacing of the returns is 1 point per metre. The area collected is a total of eight 1:2000 scale map sheet windows for a total coverage of approximately 23 square kilometres.

This aeromagnetic survey was carried out by Goldak Airborne Surveys from February 17, 2014 to March 21, 2014. The data were collected using split-beam cesium vapour magnetometers mounted in each of the tail booms of 2 Piper Navajo aircraft. Nominal traverse and control line spacings were 400 and 1400 m, and the nominal terrain clearance was 125 m.

This polygon layer displays sub-basin-level average precipitation derived from the ECMWF (European Centre for Medium-Range Weather Forecasts) model. This layer helps hydrologists, forecasters, and planners see how much rainfall/snowfall is predicted or has occurred in each sub-basin, supporting medium-range water resource and flood management. We are intersested in the forecast period of 7 days. This layer aggregates ECMWF forecast precipitation over polygonal sub-basins. Each feature includes attributes for average accumulated precipitation, forecast run/valid times, and sub-basin identifiers. ECMWF is a leading global model offering medium-range (up to 10 days) forecasts at a high skill level. By focusing on sub-basins, this layer aids in local-scale decision-making—enabling more precise flood risk assessments, reservoir inflow estimates, and water resource planning across the region of interest.

Elevation - Elevation derived product. For example such as Canvec Contours, NWT NTDB Contours, Spot Elevations and MVAP Contours

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.