Climatological monthly-mean temperature and salinity data were computed for each of the 27 Line P stations (https://www.dfo-mpo.gc.ca/science/data-donnees/line-p/index-eng.html). For any particular station, data were accepted as belonging to that station if the location was within 10 km of the intended station (or 24km at Ocean Station Papa, P26). Data were binned by month/year over all available data for each station up to and including 2012. Hence the time interval that the mean state was computed from starts between 1956 and 1960 and ends at the end of 2012. Standard deviations were computed for each month independently and at each 5-m depth bin and were estimated as the variability between different years for the month in question.

Polygons delimiting the watershed group boundary, which is a collections of drainage areas. In-land groups will contain a single polygon, coastal groups may contain multiple polygons (one for each island)

Forest Lorey's Height 2015 Lorey's mean height. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Average height of trees weighted by their basal area (m). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018) Geographic extent: Canada's forested ecosystems (~ 650 Mha) Time period: 1985–2011

Correctional Facilities is a point dataset identifying correctional facilities in British Columbia.

Patterns of wet deposition of the nitrate (NO3), non-sea-salt sulfate (xSO4) and ammonium (NH4) ions across areas of Canada and the United States are based on measurements of precipitation depth and ion concentrations in precipitation samples. xSO4 refers to the wet deposition of sulfate with the sea-salt sulfate contribution removed at coastal sites. These measurements were collected and quality controlled by their respective networks: in Canada, the federal Canadian Air and Precipitation Monitoring Network (CAPMoN) and provincial or territorial networks in Alberta, New Brunswick, the Northwest Territories, Nova Scotia, Ontario and Quebec. In the United States, wet deposition measurements were made by two coordinated networks: the National Atmospheric Deposition Program (NADP) / National Trends Network (NTN) and the NADP/Atmospheric Integrated Research Monitoring Network (AIRMoN). Only data from sites that were designated as regionally representative were used in the mapping. Wet deposition amounts were interpolated by ordinary kriging using ArcMap Geostatistical Analyst. The map is limited to the contiguous U.S. and southeastern or southern Canada because outside that region, the interpolation error exceeds 30% due to the larger distances between stations. Links to annual and five-year average maps are available in the associated resources.

As part of the Musquash Marine Protected Area (MPA) Monitoring Plan, this project was implemented to establish a baseline for infaunal biodiversity for this area. Data collection began in 2010 and contributed monitoring information for productivity, biodiversity, and habitat indicators within the Musquash Harbour. A 1500 cubic centimetre ponar benthic grab was deployed at 30 random stations distributed over three strata (channel, intertidal and subtidal). Samples were to be collected up to three times per year to account for seasonality and annual variation. Once collected the benthic samples were analyzed for changes in grain size, carbon content (Loss on ignition), species abundance/diversity and biomass. Cite this data as: Cooper, J.A., and Blanchard, M. Musquash Benthic Infauna. Published in September 2023. Coastal Ecosystem Science Division, Fisheries and Oceans Canada, St. Andrews, NB. For additional information please see: Cooper, A., Abbott, M., Allard, K., Chang,, B., Courtenay, S., Doherty, P., Greenlaw, M., Ipsen, E., Koropatnick, T., Law, B., Losier, R., Martin, J., Methven, D., and Page, F. 2014. Musquash Estuary Marine Protected Area (MPA): Data Assessment. DFO Can. Sci. Advis. Sec. Res. Doc. 2014/001. v + 57 p. Cooper, J.A., Jones, O. and Blanchard, M. 2023. Review of Baseline Monitoring within the Musquash Estuary Marine Protected Area. DFO Can. Sci. Advis. Sec. Res. Doc. 2023/028. viii + 56 p. Oceans and Coastal Management Division (OCMD). 2015. Musquash Estuary Marine Protected Area Ecosystem Monitoring Plan (2014-2019). Can. Manuscr. Rep. Fish Aquat. Sci. 3077: v+17 pp. DFO. 2022. 2021 Review of Musquash Marine Protected Area Monitoring. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2022/016.

This service shows the median total income of households in 2015 for Canada by 2016 census division.The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001. Total income refers to the sum of certain incomes (in cash and, in some circumstances, in kind) of the statistical unit during a specified reference period. The median income of a specified group is the amount that divides the income distribution of that group into two halves. For additional information refer to 'Total income' in the 2016 Census Dictionary. For additional information refer to 'Total income' in the 2016 Census Dictionary. To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

Forest stands identified under the Nova Scotia Old Growth Forest Policy.

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

The Nova Scotia Lake Survey program is a partnership initiative between the Department of Environment and Climate Change and the Department of Fisheries and Aquaculture to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Department of Environment and Climate Change web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd"