Bathymetry line data was collected to assess fish habitat in Ontario. Spot depths (bathymetry points) were used to measure the depth contours, which function like isobars to show lines of constant depth. Their density and positional accuracies vary depending on the survey style and parameters. This data should never be used for navigation.

The lightweight web app shows the locations of several river and lake stations where water levels and/or flow data are collected in Manitoba. The web map shows the locations of several river and lake stations where water levels and/or flow data are collected. When you click on a location on this map, a pop-up box will appear.  The pop-up box contains various water level and/or flow data, as well as forecast information. Please note these conditions regarding the information contained in the pop-up boxes:The information on this map is updated daily at 1:00 pm during the spring runoff period, based on water levels and flows collected earlier in the morning.  The water levels and flows should be considered preliminary data as they could be affected by ice, wind, or monitoring equipment malfunctions. While the department undertakes due diligence in utilizing this data, final quality control checked data is published by Water Survey of Canada, our main data provider, after the spring runoff.  Forecasted peak information is the most recent data available. Forecasts are evaluated daily and any updates are included in the Daily Flood Sheets and the Flood Report; both of these are available on the Manitoba Flood Forecast website. If the updated forecasts will not be available until later in the afternoon, the forecasted peak information in the pop-up boxes will be from yesterday’s Daily Flood Sheets.Pop-up boxes include the following information: Station Name: station name where the water level and/or flow data are collected Station ID: unique identifier for the station Flood Alert: indicates if the current water level is over the flood stage, over the river bank but below the flood stage, or below the river bank.  Last Update: date that water level and/or flow data was collected  Flow: measured or calculated flow in cubic feet per second  Level: measured water level in feet  Forecasted Flow: the forecasted peak flow in cubic feet per second Forecasted Level: the water level at the forecasted peak in feet Peak Date: date when the peak is forecasted to occur Flood Stage (dike level) (ft): the water level (ft) at which flow overtops community flood protection dike-structures Bankfull Capacity - flow (cfs): the approximate flow (in cubic feet per second) when the water level is at the top of the bank  Bankfull Capacity - level (ft): the water level (in feet)  when the water is at the top of the bank Reference Years:  years when the peak water levels were similar to the forecasted peak water level this year“Flood Alert” definitions:  Flood Warning: A flood warning is issued when water levels are above or expected to be above channel capacity within the next 24 hours, resulting in minor to major flooding. Water is beyond the channel capacity and expected to flood adjacent areas, agricultural fields and/or infrastructure in the area.  High Water Advisory / Flood Watch: A high water advisory is issued when water levels are above seasonal levels. A High Water Advisory can be an early indicator for conditions that may develop into a Flood Watch. A flood watch is issued when water levels are nearing channel capacity, but not expected to reach channel capacity within the next 24 hours. Minor to no flooding is expected at these levels, but water may begin to overflow into nearby low-lying marshland, parkland or floodplain areas with little to no impact. A Flood Watch can be an early indicator for conditions that may develop into a Flood Warning.   Above Community Flood Protection Level: Water levels are above or projected to be above the community dike levels within 24 hours, causing major flooding.

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 of the total magnetic field was derived from data acquired during an aeromagnetic survey carried out by EON Geosciences Inc. in the period between April 10, 2009 and September 16, 2009. The data were recorded using split-beam cesium vapour magnetometers (sensitivity =0.005 nT) mounted in each of the tail booms of a Piper Navajo and a Cessna 206 aircraft. The nominal traverse and control line spacings were, respectively, 800 m and 2 400 m, and the aircraft flew at a nominal terrain clearance of 250 m. Traverse lines were oriented N90°E with orthogonal control lines. The flight path was recovered following post-flight differential corrections to the raw Global Positioning System data and inspection of ground images recorded by a vertically-mounted video camera. The survey was flown on a pre-determined flight surface to minimize differences in magnetic values at the intersections of control and traverse lines. These differences were computer-analysed to obtain a mutually levelled set of flight-line magnetic data. The levelled values were then interpolated to a 200 m grid. The International Geomagnetic Reference Field (IGRF) was not removed from the magnetic field.

Reprocessing of magnetic data for Yukon was performed between November 2016 and March 2017. Aeromagnetic data were compiled, data of different resolutions were merged, and a series of images individually levelled for each map sheet were produced. For each 250k-scale map, the following magnetic derivative maps were produced: 1. Residual Total Magnetic Field; 2. Reduced-to-Pole Magnetic Field (RTP); 3. First Vertical Derivative of the Reduced-to-Pole Magnetic Field (RTP_VD); and 4. Tilt Derivative of the Reduced-to-Pole Magnetic Field (RTP_TDR). These maps are provided as pdfs, geotiffs and Geosoft grid files. Colour ramps/legends are provided for each map.

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.

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.