The purpose of this dataset is to show the Near-Urban Centrefire Prohibition Area (NUCPA) in Manitoba.The Near-Urban Centrefire Prohibition Area (NUCPA) is a provincially-regulated prohibition of centrefire rifles for white-tailed deer hunting. This prohibition encompasses all or portions of the Rural Municipalities (RMs) of Headingley, Rosser, Rockwood, St. Andrews, West St. Paul, East St. Paul, St. Clements and Richot. Under the General Hunting Regulation (351/87) of The Wildlife Act (c. W130), no person shall have a rifle requiring a centrefire cartridge in his or her possession while hunting deer in lands identified as a Near Urban Wildlife Zone on Plan No. 20350 or 20525 filed in the office of the Director of Surveys.Fields included (Alias (Field Name): Field description)FID (FID): sequential unique whole numbers that are automatically generatedDescription (Description): definition and description of the Near-Urban Centrefire Prohibition AreaShape_Length (Shape_Length): length of the feature in internal unitsShape_Area (Shape_Area): area of the feature in internal units squared

This dataset includes daily averages of solar irradiance on tilted surfaces for all of Canada based on the period of 1998 - 2022.Daily averages of solar irradiance are displayed on both a monthly and annual basis for ten different tilt and tracking methods relative to the ground (horizontal) and latitude of the location. The daily averages were derived from multi-year satellite-derived solar resource datasets at an hourly temporal resolution and gridded geospatial resolution of approximately 10 km by 10 km.The data can be used to further assess the potential of solar energy technologies in Canada, including solar photovoltaics (PV) for electricity and solar thermal for domestic hot water and space heating. Maps of solar resource potential in Canada – Data Format The data stored in these files includes the daily-average insolation on tilted surfaces in units of kW·hr/m² for a given period. Each band represents period, numbered in order: band 1 = Annual, band 2 = January, band 3 = February, ..., band 13 = December.The period of averaging is the year 1998-2022, inclusive.Four fixed tilted surfaces of 0° (horizontal), 30°, 60°, and 90° (vertical) relative to the horizontal plane:- fixed tilted surfaces of 0° (vertical) relative to the horizontal plane (H+ 00 S+00)- fixed tilted surfaces of 30° (vertical) relative to the horizontal plane (H+ 30 S+00)- fixed tilted surfaces of 60° (vertical) relative to the horizontal plane (H+ 60 S+00)- fixed tilted surfaces of 90° (vertical) relative to the horizontal plan (H+ 90 S+00)Three fixed tilted surfaces of 0°, +15°, and -15°, relative to the local latitude:- fixed tilted surfaces of 0° relative to the local latitude (L+00 S+00)- fixed tilted surfaces of +15°, relative to the local latitude (L+00 S+00)- fixed tilted surfaces of -15°, relative to the local latitude (L+00 S+00)- A two-axis tracking surface that follows the sun throughout the day (T+00 T+00)- A single-axis tracking surface with the axis aligned north-south, tracking the sun east to west (A+00_S+90)- A single-axis tracking surface with the axis aligned east-west, tracking the sun's elevation (A+00_S+00)

Wildfire change year 1985-2022.Wildfire changes occurred from 1985 to 2022 displaying the year of greatest wildfire disturbance. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The information outcomes represent 38 years of wildfires in Canada's forests, derived from a single, consistent, spatially explicit data source in a fully automated manner. Time series of Landsat data with 30 m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by wildfire for the period 1985-2022 for Canada's 650-million-hectare forested ecosystems.When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. https://doi.org/10.1080/17538947.2016.1187673 (Hermosilla et al. 2016).See references below for an overview on the data processing, metric calculation, change attribution, and time series change detection methods applied, as well as information on independent accuracy assessment of the data..Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., (2015). An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. https://doi.org/10.1016/j.rse.2014.11.005 (Hermosilla et al. 2015a).Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., (2015). Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. https://doi.org/10.1016/j.rse.2015.09.004 (Hermosilla et al. 2015b).Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G. W. Hobart, (2017). Updating Landsat time series of surface-reflectance composites and forest change products with new observations. International Journal of Applied Earth Observation and Geoinformation. 63,104-111. https://doi.org/10.1016/j.jag.2017.07.013 (Hermosilla et al. 2017).

Harvest changes occurred from 1985 to 2022 displaying the year of greatest harvest disturbance. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The information outcomes represent 38 years of harvest activity in Canada's forests, derived from a single, consistent, spatially explicit data source in a fully automated manner. Time series of Landsat data with 30 m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by harvest for the period 1985-2022 for Canada's 650-million-hectare forested ecosystems.When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. https://doi.org/10.1080/17538947.2016.1187673 ( Hermosilla et al. 2016).See references below for an overview on the data processing, metric calculation, change attribution, and time series change detection methods applied, as well as information on independent accuracy assessment of the data.Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., (2015). An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. ( Hermosilla et al. 2015a).Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., (2015). Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. ( Hermosilla et al. 2015b).Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G. W. Hobart, (2017). Updating Landsat time series of surface-reflectance composites and forest change products with new observations. International Journal of Applied Earth Observation and Geoinformation. 63,104-111. https://doi.org/10.1016/j.jag.2017.07.013 (Hermosilla et al. 2017)

The ASTER instrument that was launched onboard NASA’s Terra spacecraft in December 1999 has an along-track stereoscopic capability using two telescopes in its near infrared spectral band to acquire data from nadir and backward views. Over 1.2 million scenes (level-1A products) acquired between March 2000 and August 2008 were used to generate the ASTER Global DEM (ASTGTM) collection.  For more information, please see the metadata link above.

The minimum temperature layer shows the modeled minimum temperature [°C] at a height of 100 m above ground level, at each grid point, over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 1.5 °C each. Further details including data for individual years can be obtained by clicking on the dot representing the grid point location.

The maximum temperature layer shows the modeled maximum temperature [°C] at a height of 100 m above ground level, at each grid point, over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 1.5 °C each. Further details including data for individual years can be obtained by clicking on the dot representing the grid point location.

Maximum Temperature represents the highest recorded temperature value (°C) at each location for a given time period. Time periods include the previous 24 hours and the previous 7 days from the available date where a climate day starts at 0600UTC.

Game Hunting Areas (GHAs) are defined under the Hunting Areas and Zones Regulation (220/86) of The Wildlife Act (CCSM c. W130).Game Hunting Areas (GHAs) are defined under the Hunting Areas and Zones Regulation (220/86) of The Wildlife Act (CCSM c. W130). Game Hunting Areas are used to support boundaries for species specific hunting seasons, harvest allocations, bag limits, and associated regulations. Refer to the Hunting Areas and Zones Regulation for GHA boundary descriptions.

This dataset contains the abundance (per m²) and the biomass (mg dry per m²) of macrofauna (≥ 500µm) in eelgrass and adjacent bare soft sediments, collected at sites in the Atlantic of Nova Scotia from 2009 to 2013.Cite this data as: Wong M.C. Data of Benthic invertebrates in seagrass and bare soft sediments in Atlantic Nova Scotia Published May 2020. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/05d5f46a-7f19-11ea-8a4e-1860247f53e3Publications: Wong, M. C., & Dowd, M. (2021). Functional trait complementarity and dominance both determine benthic secondary production in temperate seagrass beds. Ecosphere. 12(11), e03794. https://doi.org/10.1002/ecs2.3794Wong, M. C. (2018). Secondary Production of Macrobenthic Communities in Seagrass (Zostera marina, Eelgrass) Beds and Bare Soft Sediments Across Differing Environmental Conditions in Atlantic Canada. Estuaries and Coasts, 41, 536–548. https://doi.org/10.1007/s12237-017-0286-2