Average of the hourly Global Horizontal Irradiance (GHI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.

The purpose of this dataset is to give an accurate representation of the game hunting boundaries in Manitoba.The purpose of this dataset is to give an accurate representation of the game hunting boundaries in Manitoba.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.Fields included (Alias (Field Name): Field description)OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated GHA (GHA): the number assigned to each Game Hunting Area Shape_Length (Shape_Length): the length of the feature in internal units Shape_Area (Shape_Area): area of the feature in internal units squared

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Greenhouse gas emissions from large facilities indicator reports total greenhouse gas emissions from the largest greenhouse gas emitters in Canada for the 2023 reporting year. The Greenhouse Gas Reporting Program ensures that the greenhouse gas emissions from Canada's largest emitters are tracked and reported. This mandatory reporting contributes to the development, implementation and evaluation of climate change and energy policies and strategies in Canada. Greenhouse gas emissions data reported through the Greenhouse Gas Reporting Program are used to inform the development of estimates of greenhouse gas emissions in Canada in the National Inventory Report, and to support regulatory initiatives. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Average of the hourly Direct Normal Irradiance (DNI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.

ParcelMap BC is the current, complete and trusted mapped representation of titled and Crown land parcels across British Columbia, considered to be the point of truth for the graphical representation of property boundaries. It is not the authoritative source for the legal property boundary or related records attributes; this will always be the plan of survey or the related registry information. This particular dataset is a subset of the complete ParcelMap BC data and is comprised of the parcel fabric and attributes for over two million parcels published under the Open Government Licence - British Columbia. Notes: 1. Parcel title information is sourced from the BC Land Title Register. Title questions should be directed to a local [Land Title Office](https://ltsa.ca/land-title-office-locations). 2. This dataset replaces the [Integrated Cadastral Fabric](https://catalogue.data.gov.bc.ca/dataset/7eb82072-8c74-4fce-9934-349b545fdc21).

ParcelMap BC is the current, complete and trusted mapped representation of titled and Crown land parcels across British Columbia, considered to be the point of truth for the graphical representation of property boundaries. It is not the authoritative source for the legal property boundary or related records attributes; this will always be the plan of survey or the related registry information. This particular dataset is a subset of the complete ParcelMap BC data and is comprised of the parcel polygons and attributes for over two million parcels published under the Open Government Licence - British Columbia. This dataset does __NOT__ include parcel representations (i.e. distinct polygons with unique PID identifiers) for [Building Strata Parcels](https://help.ltsa.ca/parcelmap-bc/building-strata-parcels) - Building Strata parcels are represented by a single polygon uniquely identified by the Strata Plan Number (i.e. individual strata lot PIDs are not included). For a dataset which includes unique polygon features (stacked geometries) for each Building Strata parcel, please use the [ParcelMap BC Parcel Fabric](https://catalogue.data.gov.bc.ca/dataset/4cf233c2-f020-4f7a-9b87-1923252fbc24) or [ParcelMap BC Parcel Fabric - Fully Attributed](https://catalogue.data.gov.bc.ca/dataset/219eebea-b19b-47bd-938f-47d53002a3f4) dataset _or refer to the [ParcelMap BC Shared Geometry Cross Reference Table](https://catalogue.data.gov.bc.ca/dataset/b918901e-9fd3-4f01-803d-eaeca027b794), which includes the strata lot (PID) to strata plan relationship._ Notes: 1. Parcel title information is sourced from the BC Land Title Register. Title questions should be directed to a local [Land Title Office](https://ltsa.ca/land-title-office-locations). 2. The ParcelMap BC Parcel Fabric is expected to eventually replace the [Integrated Cadastral Fabric](https://catalogue.data.gov.bc.ca/dataset/7eb82072-8c74-4fce-9934-349b545fdc21).

All files and resources that allow you to connect to planned and real-time data from the Société de transport de Trois-Rivières. GTFS 2024**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A territorial unit applicable on the forest territory of the State that can include one to several management units (UA), only RGA 05 and 14 include an AU. In an RGA, the Ministry of Natural Resources and Forests (MRNF) allocates “Supply Guarantee” (GA) wood volumes to beneficiaries.The Sustainable Forest Development Act (LADTF) provides that the supply guarantee (GA) gives its beneficiary the right to annually buy a volume of wood from public forest territories of one or more RGAs, in order to supply the wood processing plant for which this guarantee is granted. The guarantee indicates the annual volumes of wood, by species or group of species, that can be purchased annually by the beneficiary, from each of the regions covered by the guarantee.This data comes from the MRNF STF system, which is the __official source__ of this geographic information.For more information on the list of beneficiaries with their volume assignments by RGA, please consult the [tables by region.] (https://diffusion.mern.gouv.qc.ca/public/DGAB/Registre_public/02_Repertoire_beneficiaires/)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This set provides users of the Société de Transport de Montréal (STM) public transport with timetables, real-time bus positioning and, since version 2, data on the occupancy rate on board buses. *To access GTFS—Realtime and the i3 API, register on the [Developers] Portal (https://www.stm.info/fr/a-propos/developpeurs) *.Note:This data set is the property of the Société de transport de Montréal. Consequently, according to the attribution clause of the Creative Commons 4.0 license, the authorship of the data must be attributed to the Société de transport de Montréal.Please contact the Société de transport de Montréal (dev@stm.info) if you have any questions about this package.The routes of bus and metro lines as well as the planned schedules of their trips are also [available] (https://donnees.montreal.ca/organization/societe-de-transport-de-montreal) in open data.__Warning__: The GTFS-Realtime v1 API will reach end of life in the coming weeks. It will no longer be available after Friday, May 28, 2021. After this date, you will need to use version 2 of the GTFS-RealTime API.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Sentinel mirror is maintained by the Government of Canada through the Copernicus collaborative ground segment program as well as EUMETSAT. Data is made available as quickly as possible based on Canada coverage availability at the source. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**