The Costal Flooding Risk Index in GeoJSON format is a geo and time referenced polygon product issued by the Meteorological Service of Canada (MSC) to articulate the coastal flooding risk, impact and probability. Products are issued daily by Storm Prediction Centres and intended to provide early notification, out to 5 days, of coastal flooding due to astronomical tide, storm surge and wave impacts.

MetNotes are a geo- and time-referenced, free form polygon product issued by MSC that complement today's location-based dissemination systems. The concise text of a MetNote (similar to a Tweet) is consistent with communication today where people are seeking information at a glance. Meteorologists will issue a MetNote to add contextual and/or impact information to complement the public forecast that is valid over a specific area, for a specific time range.

Real-time water level and flow (discharge) data collected at over 2100 hydrometric stations across Canada (last 30 days).

Standardized waste collection v1**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Polyline layer of the road network drawn at the center of each lane on the territory of the city of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** From Autocad digital files **Attributes** * `objective` (`OID`): * `id_troncon` (`Integer`): Trunk ID * `st_length (shape) `(`Double`): Length * `street_toponymie` (`String`): Street name * `partial_street` (`String`): Partial street name * `rue_essentiel` (`String`): Essential street name * `minimum_street` (`String`): Minimum street name * `rue_balance` (`String`): Balance * `sector` (`String`): Sector * `requete_for_jmap` (`String`): Request for JMap * `a` (`String`): To * `de` (`String`): FROM * `nocivicpairde` (`String`): Civic number even Of * `nocicivicpaira` (`String`): Civic number equal to * `nocivicodde` (`String`): Odd civic number Of * `nocivicoda` (`String`): Civic number odd to * `nbre_voies` (`smallInteger`): Number of channels * `unique_sense` (`String`): One way * `owner` (`String`): Owner * `functional classification` (`String`): Functional classification * `typesurface` (`String`): Surface type * `typestructure` (`String`): Structure type * `bus` (`String`): Bus * `trucking` (`String`): Trucking * `area_m2` (`Integrate`): Area * `width_m` (`smallInteger`): Width * `drainage` (`String`): Drainage * `coderives` (`String`): Banks code * `rive1dlength_m` (`smallInteger`): * `rive1slength_m` (`smallInteger`): * `rive2dlength_m` (`smallInteger`): * `rive2slength_m` (`smallInteger`): * `rive1dmateriau` (`String`): * `rive1smaterial` (`String`): * `rive2dmateriau` (`String`): * `rive2smateriau` (`String`): * `rive1dtype` (`String`): * `rive1stype` (`String`): * `rive2dtype` (`String`): * `rive2stype` (`String`): * `vocation` (`String`): Calling * `statusvaluation` (`String`): Status of the evaluation * `annee_origine` (`String`): Year of origin * `annee_reconstruction` (`String`): Reconstruction year * `annee_resurfacage` (`String`): Resurfacing year * `annee_pulveripavage` (`String`): Year pulveripaving * `annee_origine_estimee` (`String`): Estimated year of origin * `annee_planagepavage` (`smallInteger`): Planing/paving year * `ansable_pavage` (`String`): Paving manager * `annee_1e_pavage` (`String`): Year 1st tiling * `notes` (`String`): Notes * `speed` (`smallInteger`): Speed * `hierarchical_level` (`String`): Hierarchical level For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A Virtual Climate station is the result of threading together climate data from proximate current and historical stations to construct a long term threaded data set. For the purpose of identifying and tabulating daily extremes of record for temperature, precipitation and snowfall, the Meteorological Service of Canada has threaded or put together data from closely related stations to compile a long time series of data for about 750 locations in Canada to monitor for record-breaking weather. The length of the time series of virtual stations is often greater than 100 years. A Virtual Climate station is always named for an “Area” rather than a point, e.g. Winnipeg Area, to indicate that the data are drawn from that area (within a 20km radius from the urban center) rather than a single precise location.

Anomalous weather resulting in Temperature and Precipitation extremes occurs almost every day somewhere in Canada. For the purpose of identifying and tabulating daily extremes of record for temperature, precipitation and snowfall, the Meteorological Service of Canada has threaded or put together data from closely related stations to compile a long time series of data for about 750 locations in Canada to monitor for record-breaking weather. Virtual Climate stations correspond with the city pages of weather.gc.ca. This data provides the daily extremes of record for Temperature for each day of the year. Daily elements include: High Maximum, Low Maximum, High Minimum, Low Minimum.

Daily climate observations are derived from two sources of data. The first are Daily Climate Stations producing one or two observations per day of temperature, precipitation. The second are hourly stations that typically produce more weather elements e.g. wind or snow on ground. Only a subset of the total stations is shown due to size limitations. The criteria for station selection are listed as below. The priorities for inclusion are as follows: (1) Station is currently operational, (2) Stations with long periods of record, (3) Stations that are co-located with the categories above and supplement the period of record.

Standardized zoning v1**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The annual maximum and minimum daily data are the maximum and minimum daily mean values for a given year.