This dataset consists of a set of polygons that represent the drainage areas of active discharge stations within the Pacific Drainage Area. In partnership with the provinces, territories and other agencies, the Water Survey of Canada (WSC) operates a network of over 2600 active hydrometric gauges across the country. The NHS Basin Polygon dataset is compilation of datasets collected from a number of contributing agencies, including provinces, territories and other government departments. Environment and Climate Change Canada staff in a number of offices across the country is also responsible for the derivation of large parts of the dataset. Users should be aware that drainage areas derived from these polygons may differ from official drainage areas of hydrometric stations published by WSC.

This dataset consists of a set of polygons that represent the drainage areas of active discharge stations within the Nelson River Drainage Area. In partnership with the provinces, territories and other agencies, the Water Survey of Canada (WSC) operates a network of over 2600 active hydrometric gauges across the country. The NHS Basin Polygon dataset is compilation of datasets collected from a number of contributing agencies, including provinces, territories and other government departments. Environment and Climate Change Canada staff in a number of offices across the country is also responsible for the derivation of large parts of the dataset. Users should be aware that drainage areas derived from these polygons may differ from official drainage areas of hydrometric stations published by WSC.

This dataset consists of a set of polygons that represent the drainage areas of active discharge stations within the St. Lawrence Drainage Area. In partnership with the provinces, territories and other agencies, the Water Survey of Canada (WSC) operates a network of over 2600 active hydrometric gauges across the country. The NHS Basin Polygon dataset is compilation of datasets collected from a number of contributing agencies, including provinces, territories and other government departments. Environment and Climate Change Canada staff in a number of offices across the country is also responsible for the derivation of large parts of the dataset. Users should be aware that drainage areas derived from these polygons may differ from official drainage areas of hydrometric stations published by WSC.

This dataset consists of a set of polygons that represent the drainage areas of active discharge stations within the Southwestern Hudson Bay Drainage Area. In partnership with the provinces, territories and other agencies, the Water Survey of Canada (WSC) operates a network of over 2600 active hydrometric gauges across the country. The NHS Basin Polygon dataset is compilation of datasets collected from a number of contributing agencies, including provinces, territories and other government departments. Environment and Climate Change Canada staff in a number of offices across the country is also responsible for the derivation of large parts of the dataset. Users should be aware that drainage areas derived from these polygons may differ from official drainage areas of hydrometric stations published by WSC.

This dataset consists of a set of polygons that represent the drainage areas of active discharge stations within the Maritime Province Drainage Area. In partnership with the provinces, territories and other agencies, the Water Survey of Canada (WSC) operates a network of over 2600 active hydrometric gauges across the country. The NHS Basin Polygon dataset is compilation of datasets collected from a number of contributing agencies, including provinces, territories and other government departments. Environment and Climate Change Canada staff in a number of offices across the country is also responsible for the derivation of large parts of the dataset. Users should be aware that drainage areas derived from these polygons may differ from official drainage areas of hydrometric stations published by WSC.

Long-term freshwater quality data from federal and federal-provincial sampling sites throughout Canada's aquatic ecosystems are included in this dataset. Measurements regularly include physical-chemical parameters such as temperature, pH, alkalinity, major ions, nutrients and metals. Collection includes data from active sites, as well as historical sites that have a period of record suitable for trend analysis. Sampling frequencies vary according to monitoring objectives. The number of sites in the network varies slightly from year-to-year, as sites are adjusted according to a risk-based adaptive management framework. The Great Lakes are sampled on a rotation basis and not all sites are sampled every year. Data are collected to meet federal commitments related to transboundary watersheds (rivers and lakes crossing international, inter-provincial and territorial borders) or under authorities such as the Department of the Environment Act, the Canada Water Act, the Canadian Environmental Protection Act, 1999, the Federal Sustainable Development Strategy, or to meet Canada's commitments under the 1969 Master Agreement on Apportionment.

Water composition is defined by measuring the amounts of its various constituents; these are often expressed as milligrams of substance per litre of water (mg/L). Sampling methods vary according to the types of analysis. Dataset point: The dataset represents a general description of the sample, including name, ID, type of analysis and lab. It includes numbers describing the results of the analysis and physical properties of groundwater. Time series: The dataset represents a general description of the sample, including name, ID, type of analysis and lab. It includes series of numbers describing the results of the analysis and physical properties of groundwater with associated date. Dynamic values over time at the same sites provides temporal variation data of groundwater composition.

Figure 3-4 Effects of permafrost thaw slumping on Arctic rivers, including (upper) a photo of thaw slump outflow entering a stream on the Peel Plateau, Northwest Territories, Canada, and (lower) log10-transformed total suspended solids (TSS) in (1) undisturbed, (2) 1-2 disturbance, and (3) > 2 disturbance stream sites, with letters indicating significant differences in mean TSS among disturbance classifications Plot reproduced from Chin et al. (2016). State of the Arctic Freshwater Biodiversity Report - Chapter3 - Page 21 - Figure 3-4

Figure 3-2 Long-term water temperature trends (1970–2017) for the Utsjoki Nuorgam station in the River Tana (69°N in Finland). The diagram shows the number of days per year with a mean temperature exceeding 5°C. The data show that from 1995 to 2017, this indicator increased by over 0.5 days per year. Data source: Finnish Meteorological Institute. State of the Arctic Freshwater Biodiversity Report - Chapter 3 - Page 15 - Figure 2-1

Local diatom species richness of Arctic diatom assemblages from stream scrapes, showing (left) richness as a function of latitude, and (right) site-specific richness. A LOESS smoother (blue line) with a span of 0.75 and a 95% confidence interval (grey shading) was applied to the data (left) to better highlight the general trend. Coloured circles on the map indicate species richness at the sampling sites. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 37 - Figure 4-10