Bay and Channel (fresh and marine) features and associated names

Named point features (both fresh and marine) such as points of land, etc. Point names included as an attribute

This data is intended to identify Canadian fresh waters which require additional measures (e.g., ballast water exchange and treatment) prior to release, as described in https://tc.canada.ca/en/marine-transportation/marine-safety/list-canada-s-designated-alternate-ballast-water-exchange-area-fresh-waters-tp-13617e-2021. The data is not intended for navigation purposes.According to Canada’s Ballast Water Regulations, vessels which are managing ballast water to meet the ballast water performance standard cannot release ballast water into fresh waters unless that ballast water was first exchanged in accordance with the ballast water exchange standard. For the purpose of this requirement, Canadian fresh waters are the following:- the waters at the Port of Kitimat and waters in or upstream of the Kitimat Arm, east of a line between Hilton Point and Steel Point;- the waters at the Port of Stewart and waters in or upstream of the Portland Canal, north of a line between Portland Point and Ramsden Point;- the waters of all Fraser River ports that are: -- east of Tilbury Island in the main arm of the Fraser River including Annacis Island and New Westminster docking areas; and -- east of the eastern tip of Mitchell Island in the north arm of Fraser River;- the waters of the Saguenay River ports and waters upstream of L’Anse-Creuse;- the waters of all St. Lawrence River ports and waters west of the east point of Ile d’Orléans including the port of Quebec City;- all Canadian waters of the Great Lakes Basin; and- the waters of Happy Valley-Goose Bay and waters of Lake Melville west of Rabbit Island.Legal Constraints: Users should be aware that the polygons depicting areas requiring additional measures to manage ballast water are intended for illustration only and should not be used for navigational or legal purposes.

The contaminants in fish database is a compilation of contaminant data analysed from fish tissue at the Fresh Water Institute from 1970 to 2005. Data include lab number, region, analysis, organs, species, lake, form (whole fish, headon dressed, headless dressed), weight, and length and contaminant concentrations. Total mercury was the predominant contaminant measured. Results were expressed as ppm or ppb based on the parameter analyzed. Concentrations are expressed based on wet weight.

Speckled Dace (Rhinichthys osculus) are listed under the Species at Risk Act (SARA) as endangered. These fresh water fish, of the family Cyprinidae, are found in Canada only in the Kettle Valley of British Columbia. Proposed critical habitat was based on minimum viable population analysis and assumed densities of fish. From October 19th to the 22nd of 2015, night time pole seining surveys were conducted to enumerate Speckled Dace in proposed critical habitat on the West Kettle River; one of three rivers containing Speckled Dace. The estimated population abundance of Speckled Dace within the survey area was 8,978 (6,143-11,814), however only 1,014 of these are estimated to be adults.

Maps of the analysis of change between * [mapping of heat/freshness islands 2020-2022] (https://www.donneesquebec.ca/recherche/dataset/ilots-de-chaleur-fraicheur-urbains-et-ecarts-de-temperature-relatifs-2020-2022) * and * [mapping of heat/freshness islands using 2013-2014 data] (https://www.donneesquebec.ca/recherche/dataset/ilots-de-chaleur-fraicheur-urbains-et-ecarts-de-temperature-relatifs-2013-2014) * across all major urban centers by two methods, i.e.- The map of the __Difference between temperature differences in °C (* [2020-2022] (* 2020-2022] (https://www.donneesquebec.ca/recherche/dataset/ilots-de-chaleur-fraicheur-urbains-et-ecarts-de-temperature-relatifs-2020-2022) * minus * [2013-2014] (https://www.donneesquebec.ca/recherche/dataset/ilots-de-chaleur-fraicheur-urbains-et-ecarts-de-temperature-relatifs-2013-2014)*)__), which is calculated at the pixel level and produced at the scale of the ecumene of Quebec (2016 census, 167,764 km2). The temperature difference is the difference in temperature in the city compared to a nearby wooded area. A positive value of the difference in temperature differences represents an increase in the temperature difference in 2020-2022 compared to 2013-2014, a negative value represents a decrease in the temperature difference in 2020-2022 compared to 2013-2014.- The map of __Change in the SUHII Index between 2020-2022 and 2013-2014 (%) __, which represents the percentage of change in the *Surface Urban Heat Island Intensity* (SUHII) Index between the two years. This map covers the extent of * [2021 census population centers] (https://www150.statcan.gc.ca/n1/pub/92-195-x/2021001/geo/pop/pop-fra.htm) * () * (CTRPOP) with at least 1,000 inhabitants and a density of at least 400 inhabitants per km2 to which a 2 km buffer zone is added and the values are calculated at the scale of the * [dissemination island] (https://www150.statcan.gc.ca/n1/pub/92-195-x/2021001/geo/db-id/db-id-fra.htm) * of Statistics Canada. The SUHII index highlights areas with a higher heat island intensity, by calculating a weighted average from the temperature difference classes, giving more weight to the hottest classes. Index change values below 100% represent a decrease in the intensity of UHIs in 2020-2022 compared to 2013-2014. Values greater than 100% represent an increase in UHI intensity between 2013-2014 and 2020-2022. Values around 100% correspond to an absence of change. The temperature difference classes were produced by the k-means algorithm, which takes into account the distribution of temperature difference values in a population center in a given year. The limits of temperature difference classes may therefore differ between the two years, which will influence the variation value of the SUHII index.For more details on the creation of the various maps as well as their advantages, limitations and potential uses, consult the * [Technote] (https://www.donneesquebec.ca/recherche/dataset/analyse-de-changement-ilots-chaleur-fraicheur-et-indice-intensite-ilots-chaleur-urbains/resource/021c5399-a7b3-4b02-a753-39dda706ab27) * (simplified version) and/or the * [methodological report] ( https://www.donneesquebec.ca/recherche/dataset/analyse-de-changement-ilots-chaleur-fraicheur-et-indice-intensite-ilots-chaleur-urbains/resource/ef7e3450-9347-4051-b3bb-bedcba3c0d92) * (full version).The production of this data was coordinated by the National Institute of Public Health of Quebec (INSPQ) and carried out by the forest remote sensing laboratory of the Center for Forestry Education and Research (CERFO), funded under the * [2013-2020 Climate Change Action Plan] (https://www.environnement.gouv.qc.ca/changementsclimatiques/plan-action.asp) * of the Quebec government entitled Le Québec en action vert 2020. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Canadian Aquatic Biomonitoring Network (CABIN) is an aquatic biomonitoring program for assessing the health of fresh water ecosystems in Canada. Benthic macroinvertebrates are collected at a site location and their counts are used as an indicator of the health of that water body. CABIN is based on the network of networks approach that promotes inter-agency collaboration and data-sharing to achieve consistent and comparable reporting on fresh water quality and aquatic ecosystem conditions in Canada. The program is maintained by Environment and Climate Change Canada (ECCC) to support the collection, assessment, reporting and distribution of biological monitoring information. A set of nationally standardized CABIN protocols are used for field collection, laboratory work, and analysis of biological monitoring data. A training program is available to certify participants in the standard protocols. There are two types of sites in the CABIN database (reference and test). Reference sites represent habitats that are closest to “natural” before any human impact. The data from reference sites are used to create reference models that CABIN partners use to evaluate their test sites in an approach known as the Reference Condition Approach (RCA). Using the RCA models, CABIN partners match their test sites to groups of reference sites on similar habitats and compare the observed macroinvertebrate communities. The extent of the differences between the test site communities and the reference site communities allows CABIN partners to estimate the severity of the impacts at those locations. CABIN samples have been collected since 1987 and are organized in the database by study (partner project). The data is delineated by the 11 major drainage areas (MDA) found in Canada and each one has a corresponding study, habitat and benthic invertebrate data file. Links to auxiliary water quality data are provided when available. Visits may be conducted at the same location over time with repeat site visits being identified by identical study name / site code with different dates. All data collected by the federal government is available on Open Data and more partners are adding their data continually. The csv files are updated monthly. Contact the CABIN study authority to request permission to access non open data.

This data is intended to identify Canadian Alternate Exchange Areas described in https://tc.canada.ca/en/marine-transportation/marine-safety/list-canada-s-designated-alternate-ballast-water-exchange-area-fresh-waters-tp-13617e-2021. The data is not intended for navigation purposes.According to Canada’s Ballast Water Regulations, if your vessel enters waters under Canadian jurisdiction from somewhere other than the U.S. waters within the Great Lakes Basin, and it cannot conduct a ballast water exchange in the areas set out in paragraphs 14(1)(a) and (b) of the regulations, then it will have to conduct a ballast water exchange in one of the areas listed below:-Gulf of St. Lawrence-Atlantic Canada-Western Canada-Canadian Eastern Arctic-Canadian Western Arctic: If you bring your vessel to a Canadian port, offshore terminal or anchorage area in the Western Arctic ballast water must be exchanged in an area as far away from shore as possible, where the water is more than 100 meters deep.Legal Constraints: Users should be aware that the polygons depicting ballast water exchange areas are intended for illustration only and should not be used for navigational or legal purposes.

The Remote Communities Energy Database is a public resource that provides pertinent factual information about the generation and use of electricity and other energy sources for all remote communities in Canada. Communities are identified as remote communities if they are not currently connected to the North-American electrical grid nor to the piped natural gas network; and is a permanent or long-term (5 years or more) settlement with at least 10 dwellings.The Remote Communities Energy Database is the only national data source on energy in remote communities that is publically available on one centralized site. The Remote Communities Energy Database allows users to search and conduct analyses of remote communities and their energy context. Users are also able download the data from the Remote Communities Energy Database dataset in CSV (i.e., excel compatible) format. This data is collected from a number of sources including the remote communities themselves, local utilities, provincial and territorial government’s, Indigenous and Northern Affairs Canada (INAC), Statistics Canada, Natural Resources Canada (NRCan) and various other stakeholders.

Description:Seasonal climatologies (temperature, salinity, and sigma-t) of the Northeast Pacific Ocean were computed from historical observations including all available conductivity-temperature-depth (CTD), bottle, expendable bathy-thermograph (XBT), and Argo data in NOAA (http://www.argo.ucsd.edu/), Marine Environmental Data Service (MEDS), and Institute of Ocean Sciences archives over 1980 to 2010 period in spatial resolution ranging from approximately 100m to 70km.Methods:Calculations, including smooth and interpolation, were carried out in sixty-five subregions and up to fifty-two vertical levels from surface to 5000m. Seasonal averages were computed as the median of yearly seasonal values. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March.Uncertainties:Uncertainties are introduced when quality controlled observational data are spatially interpolated to varying distances from the observation point. Climatological averages are calculated from these interpolated values.