This dataset includes airports, stations (rail, maritime, bus), vehicle rental companies, shuttles, taxis, limousines, transporters (air, rail, urban and interurban), ferries, parking lots, etc. Please note that this dataset is an overview of the tourist offer in Quebec and is not intended to identify the entire offer. This data comes from the Quebec Tourism Information System (SIT Quebec). In addition, if your interest lies in obtaining official indicators and statistics on the Quebec tourism industry, we invite you to explore the Tourism Studies and Statistics section of the Québec.ca site at the following link: https://www.quebec.ca/tourisme-et-loisirs/services-industrie-touristique/etudes-statistiques.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships such as evapotranspiration, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. Agriculture is an important primary production sector in Canada. Agricultural production, profitability, sustainability and food security depend on many agrometeorological factors. Extreme weather events in Canada, such as drought, floods, heat waves, frosts and high intensity storms, have the ability to significantly impact field crop production. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily basis.

Point features showing the locations of groundwater wells with pumping test information and/or aquifer parameter data. Some wells may have more than one pumping test record. Further context regarding the pumping tests and analysis are provided with the well records in GWELLS (https://apps.nrs.gov.bc.ca/gwells/).

To support a wide range of efforts to understand the geographic context and historical conditions of the Indian residential schools sites for a wide range of stakeholders, Indigenous Services Canada has created a Web service to access and visualize historical aerial photography for those sites. The Historical aerial photography of Indian residential schools dataset contains digital scans of aerial photographs that were acquired from 1924 to 1998 over Indian Residential school sites and surrounding areas across Canada, as well as basic information about each photography and depicted site. The digital images were georeferenced, to match ground coordinates, saved in a resampled uncompressed raster format and compiled in a single mosaic layer. The dataset does not include the complete range of aerial photographs of each site. Instead, an attempt has been made to select a single optimal photograph for each site based on good photographic quality and the site's years of operation. In some cases no photograph is available, and in others a photograph was only available after the years of operation. The source scanned prints was obtained from the archives of the National Air Photo Library (NAPL) of Natural Resources Canada (NRCAN). This dataset should be considered evergreen as new information and photography sources are identified. It should be noted that this dataset can only be downloaded using ArcGIS and ArcPro software as well as other GIS software.

This dataset brings together various offers related to culture, arts and heritage. Among other things, we find museums, historical reconstruction and interpretation sites, performance halls and theaters, art centers and galleries, religious buildings. Please note that this dataset is an overview of the tourist offer in Quebec and is not intended to identify the entire offer. This data comes from the Quebec Tourism Information System (SIT Quebec). In addition, if your interest lies in obtaining official indicators and statistics on the Quebec tourism industry, we invite you to explore the Tourism Studies and Statistics section of the Québec.ca site at the following link: https://www.quebec.ca/tourisme-et-loisirs/services-industrie-touristique/etudes-statistiques.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A tribal council is a grouping of First Nations with common interests who voluntarily joined together to provide services to member First Nations. The tribal council geographic location dataset contains the geographic location of all tribal councils in Canada as points as well as basic attributes data. Each tribal council point represents its address as it is registered in Indigenous and Northern Affairs Canada (INAC) Indian Government Support System (IGSS). A connection with the IGSS is in place to ensure that any update to the system is reflected in the attributes data associated with the geography of each tribal council. This dataset is Indigenous Services Canada (ISC) and Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) official source for Tribal Councils geographic location on maps.

Probability of daily precipitation above 25mm over the forecast period (p1d25_prob). Week 1 and week 2 forecasted probability is available daily from September 1 to August 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31. Units: mm Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Data set geolocating road signs on Montreal territory. It should be noted that [road signs concerning parking] (/city-of-montreal/parking-on-street-signalisation-currant) are available in a separate set. Additional files provide more details on the descriptions and the codifications of the panels. The images of all the panels are also available.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Heat Wave Days are the number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases. This temperature is 35°C for warm season crops (dhw_warm). Week 1 and week 2 forecasted index is available daily from April 1 to October 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from April 1 to October 31. Warm season crops require a relatively warm temperature condition. Typical examples include bean, soybean, corn and sweet potato. They normally grow during the summer season and early fall, then ripen in late fall in southern Canada only. Other agricultural regions in Canada do not always experience sufficiently long growing seasons for these plants to achieve maturity. The optimum temperature for such crops is 30°C. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

This dataset contains parks and protected areas managed for important conservation values and are dedicated for the preservation of their natural environments for the inspiration, use and enjoyment of the public. Places of special ecological importance are designated as ecological reserves for scientific research and educational purposes. Source data is Tantalis. *April 18, 2018: Prior to this date this dataset had one spatial boundary per park per survey plan that intersected the boundary of that park. This resulted in multiple identical boundaries for each park that had more than one survey plan overlapping it’s boundaries. The change aggregated the park data so that there is just one boundary per park with the plan numbers concatenated into a single column where each different plan number is separated by a comma.