This provincial layer shows the site locations of onshore wind power Applicants of Record seeking regulatory approvals for renewable energy projects on Crown land. The ministry will not accept another application for the same lands at the same time under the Renewable Energy on Crown Land (RECL) policy.

Environmental Monitoring Program data for aquaculture.

This data set provides geographic information for Health PEI facilities (Hospitals, Cancer Treatment Centres, Palliative Care Centre, Primary Care Networks, and Public Nursing Homes.

Part of the Nova Scotia Topographic Database, the delimiter lines are obtained from various sources which could include Nova Scotia Department of Natural Resources, Property Records Database, or Parks Canada. These areas are generally administrative Boundaries. Delimiter Line feature codes and their descriptions are provided with the download in a NSTDB feature code table. Data download also available via GeoNova: https://nsgi.novascotia.ca/WSF_DDS/DDS.svc/DownloadFile?tkey=fhrTtdnDvfytwLz6&id=12 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10K_Delimiter_Boundaries_UT83/MapServer?f=jsapi

A listing of Early Childhood Development Support Sites that provide information and resources as well as professional development opportunities for early childhood educators.

Data is collected each year, according to the lake-by-lake cycle. Information includes: * sediment chemistry * approximately 80 index and reference stations throughout the Great Lakes basin

La Financière Agricole's collective crop insurance for cereals and fodder maize covers the loss of quantity and quality. The assessment of losses is carried out collectively for all agricultural businesses in the same geographical area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Point layer of winter activities proposed in the Recreation brochure, on the territory of the city of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Digitization from orthophotography **Attributes** * `objectid` (`integer`): * `location` (`char`): Location * `services` (`char`): Services * `fee` (`char`): Fresh * `infos_sup` (`char`): Additional information * `url` (`char`): URL * `tel` (`char`): Phone * `address` (`char`): Address * `photo` (`char`): Picture * `velo` (`char`): Bicycle * `ski_alpin` (`char`): Alpine skiing * `racquets` (`char`): Rackets * `ski_fond` (`char`): Cross-country skiing * `slide` (`char`): Slides * `curling` (`char`): Curling * `sledge` (`char`): Sledge * `trail_icer` (`char`): Ice trail * `scooter` (`char`): Scooter * `skating rink` (`char`): Skating rink * `canin` (`char`): Dog park * `march` (`char`): Market 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).**

As part of a scientific assessment of critical habitat for boreal woodland caribou (Environment Canada 2011, see full reference in accompanying documentation), Environment Canada's Landscape Science and Technology Division was tasked with providing detailed anthropogenic disturbance mapping, across known caribou ranges, as of 2010. The attached dataset comprises the second 5-year update (first one in 2015) bringing the data up to 2020. The original disturbance mapping was based on 30-metre resolution Landsat-5 imagery from 2008-2010. Since then, anthropogenic disturbances within 51 caribou ranges across Canada were remapped every five years to create a nationally consistent, reliable and repeatable geospatial dataset that followed a common methodology. The ranges were defined by individual provinces and territories across Canada. The methods developed were focused on mapping disturbances at a specific point of time, and were not designed to identify the age of disturbances, which can be of particular interest for disturbances that can be considered non-permanent, for example cutblocks. The resultant datasets were used for a caribou resource selection function (habitat modeling) and to assess overall disturbance levels on each caribou ranges. As with the 2010 mapping project, anthropogenic disturbance was defined as any human-caused disturbance to the natural landscape that could be visually identified from Landsat 30-metre multi-band imagery at a viewing scale of 1:50,000. The same concept was followed for the 2015 and 2020 disturbance mapping and any additional disturbance features that were observed since the original mapping date, were added. The 2015 database was used as a starting point for the 2020 database. Unlike the previous iteration, features were not removed in the mapping process which was a decision made in the name of time. Interpretation was carried out based on the most recent cloud free imagery available up to mid fall for a given year. Each disturbance feature type was represented in the database by a line or polygon depending on their geometric description. Linear disturbances included: roads, railways, powerlines, seismic exploration lines, pipelines, dams, air strips, as well as unknown features. Polygonal disturbances included: cutblocks, harvest (added in 2020), mines, built-up areas, well sites, agriculture, oil and gas facilities, as well as unknown features. For each type of anthropogenic disturbance, a clear description was established (see Appendix 7.2 of the science assessment) to maintain consistency in identifying the various disturbances in the imagery by the different interpreters. Features were only digitized if they were clearly visible in the Landsat imagery at the prescribed viewing scale. In comparison to the previous mapping protocol, one enhancement to the mapping process in 2020 was the addition of CFS harvest polygons (Ref: NRCan-CFS NTEMS; Wulder 2020) into the database prior to interpretation. This considerably reduced the digitizing time for polygons and accelerated the data collection process. The CFS harvest polygons were checked before inclusion, removing some which had been generated erroneously in their process. A 2nd interpreter quality-control phase was carried out to ensure high quality, complete and consistent data collection. Subsequently, the vector data of individual linear and polygonal disturbances were buffered by a 500-metre radius, representing their extended zone of impact upon boreal caribou herds. Additionally, forest fire polygons for the past forty years (CNFDB 1981-2020) were merged into the buffered anthropogenic footprint in order to create an overall disturbance footprint. These buffered datasets were used in the calculation of range disturbance levels and for integrated risk assessment analysis.

The geographic locations of all hospitals in Nova Scotia by their civic address.