Mapping of the centers of watercourses and surface watercourses on the territory of Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Surface hydrographic network of the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The flows and effluent quality data is for the parameters of: * Biological Oxygen Demand BOD5/CBOD5 * Total Suspended Solids (TSS), also described as Residual Particulate Solids * Total Phosphorus (TP) * total monthly flow Keywords: Sewage, Effluent, Discharge, Watershed, Waterworks, Water management, Muncipality

COURDO program sampling points, stream quality, Aquatic environment monitoring network.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This theme offers detailed information on lakes and waterways throughout Quebec. All the descriptors available in this layer come directly from the Lakes and Rivers (LCE) database. The data includes lake centroids and stream junctions and includes information on lake morphology such as length, width, depth, volume, and elevation, as well as the area of watersheds. This data is intended for researchers, engineers, government agencies, government agencies, environmental professionals, as well as students and industries, for applications in the environment, hydrology, and hydraulics.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

History of annual reviews of the quality of water bodies in Montreal. The aquatic environment monitoring network (RSMA) takes surface water samples in order to draw up a state of the situation in the Montreal agglomeration.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

COURDO SPÉCIAL program sampling points, watercourse quality, Aquatic environment monitoring network.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset comprises a map of inland water bodies in Canada and neighboring regions, as described by Ghayourmanesh et al. (2024). The data are mapped using the Lambert Conformal Conic (LCC) geographic projection with a spatial resolution of 250 meters. The LCC projection is frequently used as a standard projection at the Canada Centre for Remote Sensing (CCRS) (Trishchenko et al., 2016, Trishchenko, 2019). Each pixel value represents a code describing either the probability of inland water presence or land/ocean(sea) mask

The datasets contain water surface evaporation (PET, in mm of H2O) over Canada's landmass at a spatial resolution of 10-km and temporal intervals of a month and a year over a 24-year period of 2000-2023. The PET was produced by the Land Surface Model EALCO (Ecological Assimilation of Land and Climate Observations) developed at Natural Resources Canada. The PET algorithm in EALCO integrates the dynamic surface evolutions of liquid water, ice, and snow-on-ice for a waterbody into the Penman Equation. The PET was simulated at a daily time step. The monthly (or annual) PET in the datasets is the sum of the daily PET values in a month (or a year). Dew and frost formations simulated by EALCO are included in the PET as negative values, so the PET represents the net water flux between water surface and the atmosphere. Details of the dataset and the EALCO PET modelling algorithms can be found in Li, Wang, and Li (2020, Spatial variations and long‑term trends of potential evaporation in Canada. Scientific Reports, 10: 22089, doi.org/10.1038/s41598-020-78994-9).

Data represents surface water occurrence frequency (percentage), which describes the frequency for each grid appeared as water in the 30 years time period of 1991 to 2020. The data covers Canada’s entire landmass including all transboundary watersheds, and is at 30-meter spatial resolution. The surface water occurrence frequency is derived using the surface water model of Wang et al. (2023) from all-available monthly water data observed by the Landsat satellites (Pekel et al., 2016). Here, permanent waters are represented by 100%, and permanent land surfaces by 0%, of water occurrence for a 30-meter by 30-meter grid. References: Pekel, J.-F., A. Cottam, N. Gorelick, A.S. Belward, 2016, High-resolution mapping of global surface water and its long-term changes. Nature, 540, 418-422. Wang, S., J. Li, and H. A. J. Russell, 2023, Methods for Estimating Surface Water Storage Changes and Their Evaluations. Journal of Hydrometeorology, DOI: https://doi.org/10.1175/JHM-D-22-0098.1.