The probability (likelihood) of ice freeze days, the number of days in the forecast period with a minimum temperature below the frost temperature, -5°C for herbaceous crops over the non-growing season (ifd_herb_nogrow_prob). Week 1 and week 2 forecasted probability is available daily from November 1 to March 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from November 1 to March 31. Over-wintering crops are biennial and perennial field crops such as herbaceous plants (strawberry, alfalfa, timothy, and many other forage crops) and woody fruit trees (apple, pear, peach, cherry, plum, apricot, chestnut, pecan, grape, etc.). These crops normally grow and develop in the growing season and become dormant in the non-growing season. However, extreme weather and climate events such as cold waves in the growing season and ice freezing events during the winter are a major constraint for their success of production and survival in Canada. The winter survival of these plants depends largely on agrometeorological conditions from late autumn to early spring, especially ice-freezing damage during the winter season. The optimum temperature for such crops is 25°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 basis.

The MSDI Surface Current Web Service is a dynamic national dataset offering full coverage of surface current visualization in Canadian waters. The service has been developed and managed by the Canadian Hydrographic Service in collaboration with Environment and Climate Change Canada. As with all MSDI products, this service is strictly NOT FOR NAVIGATION. This data is best viewed by software that supports time-aware map services.

The greatest 10-day precipitation total expected over the next 2 weeks (p10d). Week 1 and week 2 forecasted index is available daily from September 1 to August 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31. Units: cm/10 days 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.

The data sets analyzed come from bicycle counting detectors installed on various sites by SUM-DIGD. These sensors record the number of cyclists crossing each minute, allowing detailed observation of the number of cyclists passing by. In some locations, detectors also provide speed data, enriching behavioral analysis. In order to facilitate interpretation and identify trends, raw data is aggregated in several ways: ### * -15 min * -1hr * -daily * -monthly * -annual This methodology makes it possible to monitor the evolution of bicycle traffic, to identify seasonal variations and to assess the impact of specific developments or events. Aggregation is carried out using automated processes, guaranteeing the consistency of the time series and the quality of the analyses.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This polygonal dataset represents authorized applications for a Mines Act permit known as a Permitted Mine Area (PMA). This dataset can be used in combination with the NoW point dataset which represents both applications for a Mines Act permit and issued authorizations for mining activities proposed in the application. **The regional mine PMA dataset is not complete for all mine sites in BC. Review the data quality section for more information** Point representation of NoW: https://catalogue.data.gov.bc.ca/dataset/fab53209-63be-4c61-8de4-3e3fceec4227 Applications for regional Mines Act permits are known as Notice of Work (NoW) applications. Regional mine permits are issued for mineral and coal exploration activities, sand and gravel production, quarry production, and placer mining. Major mine permits are issued for producing mineral and coal mines. Permits are issued by the chief permitting officer under section 10 of the Mines Act and administered by the ministry. **Regional mines include:** * Exploration — mineral, coal, rock quarry, industrial mineral or dimension stone * Sand and gravel — aggregate, rock or natural substances used for construction purposes * Placer   Most exploration and development activities require a permit under the Mines Act. A decision marks the end of the permitting process for a NoW application. The decision can either be to reject the application or to authorize the mining activities proposed in the NoW. * For new NoW authorizations, a Mines Act permit is issued * For an existing open Mines Act permit, the newly authorized mining activities are amended to the existing permit and the permit is re-issued   Notice of Work categories include: Notice of Work application type, Notice of Work application status. **Notice of Work application type** Field: NOW_APPLICATION_TYPE_DESC (NW_APPTYPD) * Coal * Mineral * Placer Operations * Quarry – Construction Aggregate * Quarry – Industrial Mineral * Sand and Gravel   **Notice of Work application status** Field: NOW_APPLICATION_STATUS_DESC (NW_APPSTAD) * Approved – mining activities in the NoW application have been authorized   **For the public view, please be aware that the ministry:** * Removed the attribute value of closed permits in the PERMIT_STATUS_CODE_DESC (PMT_STD) field. These records will show as permit status is NULL (empty). * Only shows mine commodities of gold or jade/nephrite in the MINE_COMMODITY_DESC (MN_COMD) field. All other commodity values remain NULL (empty)

Polygon geometry for an invasive species observation. The polygon represents the area of the observation. An observation of an invasive species can be either positive or negative. Positive indicates the species was present at the time of the observation. Negative indicates the species was not present at the time of the observation. Dataset currently only includes plant species.

Data set geolocating traffic signs (road and parking) on Montreal territory. The location and details of the traffic signs attached to the posts are available in the datasets [Road Signs (excluding parking)] (https://donnees.montreal.ca/dataset/panneaux-de-signalisation) and [Signage (on-street parking)] (https://donnees.montreal.ca/dataset/stationnement-sur-rue-signalisation-courant). The POTEAU_ID_POT identifier is shared between the various datasets and can be used to link them.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The locations of all Long-term Care and Residential Care facilities in Nova Scotia by their civic address.

Work in progress during the current day on the territory of the City of Sherbrooke.attributs:ID - Unique identifier Municipality - Municipality codeType - Type of workSub-type - Sub-type of workDescription - Description of the workDescription - Description of the workDescription - Description of the workConstruction - Construction unit - Unit of realization of the workLocation - Unit of realization of the workLocation - Street affected by the workIntersection - Intersection affected by the worksCivic number - Civic number concerned by the worksCivic number concerned by the worksCivic number concerned by the worksCivic number concerned by the worksConstruction - Unit of completion of the workLocation - Street affected by the workIntersection - Intersection affected by the worksIntersection - Intersection affected by the worksNo_Civic - Civic number concerned by the worksCivic number concerned by the worksCivic number Voie_de - Cross lane from which the street is affected (see LOCATION) WAY_A - Cross lane up to which the street is affected (see LOCATION) DATE_START - Construction start date (UTC or local depending on the various formats offered) DATE_END - Construction end date (UTC or local depending on the various formats offered) TRAFFIC - Effect on trafficSignaler - Presence of signalersPresence of signalsSpeed - Modification of the speed limitSpeed - Modification of the speed limitPolice - Increased police presenceCoureWater - Cutoff in the drinking water supplyPerteAccess - Temporary loss of access to vehicle entrancesCommon transport - Possible disruption of public transitSchool - Presence of a school or school corridorCommerce - Presence of businessesSubsequent workSubsequent work - Planned subsequent workNote - Additional clarificationsDebuthe date - Construction start date (Eastern Time) “YYYY-MM-DD HH:MM"dateFinHe - Date of completion of work (Eastern Time) “YYYY-MM-DD hh:mm”**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset corresponds to daily snow cover percentage at 1km resolution grid over land areas of Canada from 2006-2010. The data are subsampled by 4km to reduce data volumes and considering the geolocation uncertainty of the input satellite imagery. The daily maps are generated by assimilation of daily cloud screened NOAA AVHRR satellite imagery and Canadian Meteorological Centre (CMC) snow depth analysis snow depth and density fields within an off-line version of the CMC daily snow depth model. The snow depth model is modified to include snowpack reflectance model and a surface radiative transfer scheme that relates vegetation and snowpack reflectance to top-of-canopy bi-directional reflectance. A logistic vegetation phenology model is used to parameterize temporal dynamics of canopy leaf area index. A per-pixel particle filter with a 30 day moving window is applied to assimilation observations corresponding to 1km resolution visible band directional reflectance and normalized difference vegetation index and 24km CMC daily snow depth and monthly snow density fields. The assimilation is forced using daily air temperature and precipitation fields. Validation of the datasets has been performed by comparison to MODIS snow cover maps and in-situ snow depth stations across Canada. Validation suggests similar accuracy to MODIS snow cover products over relatively flat terrain. Validation over mountainous regions is ongoing.