This polygon layer presents the spatial distribution of forecasted accumulated precipitation from the Global Forecast System (GFS) over watershed sub‑basins. GFS APCP raster data are overlaid with global watershed boundaries, and zonal statistics are computed to derive average precipitation per sub‑basin over a 7‑day (168‑hour) period. This product aids in global disaster preparedness and water management planning.GFS model output is processed into APCP rasters that capture accumulated precipitation over a 7‑day forecast period. These rasters are then combined with watershed boundary data, and zonal statistics are applied to compute average precipitation for each sub‑basin. The final polygon features provide a clear depiction of global rainfall and snowfall patterns, offering critical information for disaster risk management and international water resource planning.

This polygon layer shows the spatial distribution of forecasted accumulated precipitation across watershed sub‑basins using data derived from the Regional Ensemble Prediction System (REPS). In other words, it aggregates precipitation amounts—computed from processed REPS forecast output (converted from GRIB2 files into raster [TIF] format)—over defined watershed boundaries to provide a detailed view of expected rainfall over a typical 72‑hour forecast period. This information supports regional hydrological forecasting, flood risk analysis, and water resource management.REPS forecast data are first processed to extract the accumulated precipitation field (APCP) and converted into high‑resolution raster images. These “REPS APCP rasters” represent the spatial distribution of forecast precipitation (in millimeters) over the region. Next, using pre‑defined watershed or sub‑basin boundaries, zonal statistics are applied to compute the average precipitation for each sub‑basin. The final layer displays these averaged values as polygon features, highlighting variations in forecasted rainfall across different drainage areas. This approach helps users pinpoint regions that may receive higher or lower rainfall, thereby enhancing hydrological assessments and emergency planning.

Groundwater flow is the movement of water in an aquifer or hydrogeological unit. The dataset shows groundwater flow rate and direction in the hydrogeological unit. Groundwater flow is establish from piezometric surface map. The method used to create the dataset is described in the metadata associated with the dataset. The dataset represents a description of the flow, including rate in m/d, direction, date and source. Typically, the data provided will not be in the form of a shapefile with linked properties but in the form of an image that sketches the groundwater flow. The image could also represent a cross section of the hydrogeologic units showing the regional trends of the groundwater flow.

The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).

The Homogenized Surface Pressure data consist of monthly, seasonal and annual means of hourly sea level and station pressure (hectopascals) for 626 locations in Canada. Homogenized climate data incorporate adjustments (derived from statistical procedures) to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The time periods of the data vary by location, with the oldest data available from 1953 at some stations to the most recent update in 2014. Data availability over most of the Canadian Arctic is restricted to 1953 to present. The data will continue to be updated every few years (as time permits).

Municipal public parking.attributes:ID - Unique IDName - Parking nameNumber of parking spaces - Number of parking spaces**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The grid system used in Mineral Titles Online (MTO). This grid is used to determine the location of mineral and placer cell titles in B.C. The grid is designed based on the Mineral Title Online Grid Regulation. The mineral-placer grid does not show current cell availability status. The dataset is very large and cannot be downloaded for the entire province. Try selecting specific mapsheet grids or selecting by an area of interest to download in sections.

This dataset is a locational record of the meteorological input files publically available on Saskatchewan GeoHub that can be used with the Environmental Protection Agency approved Regulatory Model (AERMOD). Each file represents the meteorology over an area of the province while minimizing the influences of local terrain on air flow. Additional attribute information for each location includes coordinates and a link to download the AERMOD data as a zip file.The Air Quality Section of the Ministry of Environment uses air quality modelling to simulate how air pollutants disperse in the ambient atmosphere in order to help manage the air quality in the province. The models are used to estimate the impact of air pollutants emitted from emission sources, and are typically employed to determine whether existing or new proposed industrial facilities are or will be in compliance with the ambient air quality standards outlined in Table 20 of the province's Environmental Code, June 1, 2015 under The Environmental Management and Protection Act, 2010.  The information needed to run dispersion models consists primarily of emissions and meteorological data. Five years (2012-2016) of preprocessed meteorological datasets in an AERMOD ready format is publicly available. This file is contained in the downloadable zipped file. The zipped file contains five files: the SFC and PFL files are the AERMOD ready files required to run AERMOD (i.e., data, sensible heat flux, frictional velocity, potential temperature gradient, vertical velocity, mixing height, monin-obukhov length, surface roughness, Bowen ratio, albedo, scalar wind speed, wind direction, ambient temperature, precipitation, precipitation rate, relative humidity, surface pressure, and total cloud amounts); the DAT file contains the land use information (i.e., Surface roughness, Bowen ratio and albedo) chosen for each month in the SFC file; the KMZ file contains the wind rose for that location which can be used on Google Earth; and the PNG file contains various graphs of monthly or diurnal meteorological distribution (i.e., temperature, wind speed, daytime mixing heights and sensible heat flux, and stability) which can be used to help determine if that location is representative of the area proposed for modelling.  Please note: Since this data is newly developed, it is possible there may be issues with the data as it gets used in more applications. Ongoing changes, edits and updates may be made by the Air Quality Section of the Ministry of Environment. Is is recommended for any future modelling to download the latest version of the input files and not archive any input files on your own server for future use, unless this notification no longer exists. If there are any issues discovered with data in the zipped file, please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. Your support will be greatly appreciated.  There may be times you feel that the input files are not representative of the proposed modelling domain due to the surrounding features (i.e., forest/agricultural or rural/urban) being different than those used to generate the input files. If that is the case, the modeler can generate the input modelling files themselves. The relevant files to generate these input files are available upon request. Please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. 

The Canadian Hydrospatial Network (CHN) is an analysis-ready geospatial network of features that help enable the modelling of surface water flow in Canada. The six main layers and feature types are: flowlines, waterbodies, catchments, catchment aggregates, work units, and hydro nodes. Where possible the CHN is derived from high resolution source data such as Light Detection and Ranging (LiDAR) derived Digital Elevation Models (DEMs) and aerial imagery, to name a few. If existing provincial or territorial hydrographic networks meet the standards, they are incorporated into the CHN, otherwise automatic extraction methods are used on the high-resolution source data. To provide full network connectivity, if neither of these methods is possible in a region, the NHN is converted into the CHN until higher-resolution source data is available.Additional value-added attributes are included in the CHN to aid modelling, such as stream order and reach slope. The CHN physical model and features are also closely aligned and harmonized with the USGS 3DHP hydrographic network, which aids trans-border modelling. Where possible geonames (i.e. toponyms) are also added.The CHN is produced and disseminated by hydrologically connected geographic areas called work units. Work units can contain just one watershed, several small adjacent watersheds outletting into a large body of water, or be one of many parts of a larger watershed. In all cases, the features of a work unit are hydrologically connected. This is a more natural approach to data delivery, in comparison to data that is split into tiles. A generalized work unit index file is provided in the downloads to help users decide which files to download.For more information on the CHN please visit the project webpage: https://natural-resources.canada.ca/canadian-hydrospatial-network

A systematic oceanographic monitoring program was initiated in September 1989 at twenty-five monitoring stations in the Passamaquoddy Bay area and approaches by Dr. Shawn Robinson based out of the St. Andrews Biological Station (SABS). Stations were established in a uniform grid pattern of two arcminutes latitude and longitude over the study area in order to develop a database on the spatial patterns of water properties. Monthly measurements of the water column for the temperatures and salinity at all stations was completed using a Seacat SBE 19 internally recording CTD from Sea-bird Electronics Inc. The CTD was programmed to record conductivity, temperature, and depth at a frequency of 2 hz, corresponding to 2 measurements per meter of water depth. CTD casts were recorded for each of the 25 stations in the study area monthly using the R/V Pandalus, and later the CCGS Viola M. Davidson based out of SABS. The CTD was configured such that the sensors were oriented towards the benthos and the CTD was then attached to a hydraulic winch on the deck of the ship by a stainless steel cable one meter above a weight, and lowered 1 m below the water's surface in order for the CTD to equilibrate for one minute. The CTD was then lowered at 1 m/s to the benthos using a metered block on the winch to determine when the CTD had reached the maximum depth at that station. Once the weight had touched the bottom, the CTD was retrieved from the water, turned off, and placed in a bucket of fresh seawater in order to minimize equilibration time at the next station. Initially, the CTD measured salinity via water forced through the salinity cell with the drop rate of 1 m/s, but in August 1992, a pump was mounted on the CTD in order to provide a more consistent flow of water across the salinity cell. Surface temperatures were measured from bucket samples collected upon arriving at each station using a hand-held mercury thermometer at each station, and Secchi disk measurements were recorded. All data were downloaded from the CTD upon return to SABS using a DFO computer and the proprietary Sea-Soft software. Downcast data from each profile was retained, binned into 1 m intervals, and processed to remove data spikes, density inversions, and anomalies due to inadequate instrument equilibration. Processed data was then stored in the DFO's Oracle database (PTRAN) under the IMTA_SABS schema in the INVHYD and INVINF tables. Station numbers and locations are recorded in the CTD_STATIONS table in the IMTA_SABS schema.Cite this data: Robinson, S. Data of: Passamaquoddy Bay monthly Conductivity Temperature and Depth (CTD) sampling (1989 - 2018). Published: October 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, NB. https://open.canada.ca/data/en/dataset/12184962-7879-4214-aef0-b31162f04a27