This dataset contains average concentrations of water chemistry collected from stream catchments C31, C32, C33, C34, C35, C37, C38, C39, C42, C46, C47, C49, and C50 in the Turkey Lakes Watershed, approximately 60 km northwest of Sault Ste. Marie, Ontario, Canada. These are average concentrations recorded from 1981-2018 in milligrams per litre (mg/L) of major ions (Ca, Mg, K, Na, SO4, Cl, NO3-N, NH4-N) and some nutrients (TP, TN) collected by the Great Lakes Forestry Centre. Samples are collected according to variable schedules such that frequency generally increased with increasing stream flow, (sampling period was shortest during spring runoff, 1-3 days, and longest during winter, 2-3 weeks). Sampling was accomplished by rinsing an appropriately cleaned 2-litre, polyethylene bottle at least 3 times with stream water followed by immersion to collect the final sample. Care was taken to not disturb the stream sediments throughout the sampling procedure. pH and conductivity testing is completed right after sampling. Other chemical analyses are completed by the Great Lakes Forestry Centre in Sault Ste. Marie within 2 weeks of collection. Sample integrity was maintained through storage in the dark at 4 degrees Celsius and analyzed at room temperature.

City of Trois-Rivières landslide zones**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

PURPOSE: To provide demographic parameters and relative indices of abundance for Atlantic herring in NAFO Division 4T. DESCRIPTION: The experimental gillnet survey is conducted in collaboration with Atlantic herring harvesters and uses standardized multi-mesh gillnets. Gillnets are set on spawning grounds in the spring and fall. Data (fish and sample) are collected to provide: (1) relative age-disaggregated indices of abundance, (2) an indicator of relative changes in fishery selectivity over time, and (3) information on the demographic composition of herring on the spawning grounds. PARAMETERS COLLECTED: Sample: sample location; sample weight; mesh size; length frequency Biological: length; weight; gonad weight; maturity stage (biological); sex (biological); ring count (biological) USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Pacific Herring spawn index data for British Columbia from 1951 to present. Note that the spawn index is a relative index of spawning biomass. In addition, “NA" indicates that data are unavailable because they are either incomplete or withheld; contact the custodian for more information. For the "Region" column specifically, "NA" indicates that the location is outside stock assessment region boundaries. There are a few caveats to consider when interpreting Pacific Herring spawn index data, which are discussed in the technical report (see supporting documents).

This dataset provides details on the location of MTO aggregate pits. Aggregate pits provide the material necessary to build roadways in the province. Official LIO title: Aggregate Sites MTO *[MTO]: Ministry of Transportation

Polyline layer of snowshoeing trails in the territory of the city of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Scanning from orthophotography **Attributes** * `objective` (`OID`): * `association_name` (`String`): Association * `location` (`String`): Location * `sector` (`String`): Sector * `circuit` (`String`): Number * `Circuit_name` (`String`): Name * `problem` (`String`): Difficulty * `Kilometers` (`Double`): Mileage * `st_length (shape) `(`Double`): Length For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Part of the Nova Scotia Topographic Database (NSTDB), the structures theme layer is updated and maintained from aerial photography, and verified with field inspections. Chimneys, Incinerators, Silos and Weigh Scales are all examples of what is found in this theme. Structure feature codes and their descriptions are provided with the download in a NSTDB feature code table. Data download also available via GeoNova: https://nsgi.novascotia.ca/WSF_DDS/DDS.svc/DownloadFile?tkey=fhrTtdnDvfytwLz6&id=16 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_Structures_UT83/MapServer?f=jsapi

This file represents an aggregated dataset that shows previously active Orders and Alerts in the Province as initiated by Local Governments or First Nations. Start dates, re-installment dates and All Clear Dates for each Evacuation Order and Alert are included in this multipart polygon dataset. The dataset includes records beginning summer 2017 until the present day. Orders and Alerts that are currently active are found in [Evacuation Orders and Alerts](https://catalogue.data.gov.bc.ca/dataset/evacuation-orders-and-alerts).

Deforestation in Canada is estimated with the National Deforestation Monitoring System (NDMS). Details describing this process are published here: https://cfs.nrcan.gc.ca/publications?id=36042. Deforestation is the direct human-induced conversion of forested land to non-forested land use. Canada’s National Deforestation Monitoring System (NDMS) was designed and implemented to provide information needed by Canada to meet its obligation under the United Nations Framework Convention on Climate Change (UNFCCC) to report the areas affected annually by deforestation. It also provides important information for the public, government policy makers, and scientists. To provide information about the amount of deforestation and why, where, and when it occurred in Canada, the NDMS uses deforestation mapped on a system of sample areas. The mapping is based on visual interpretation of satellite imagery supported by available ancillary information, such as high resolution imagery, forest inventory, and industrial databases, and informed by records-based information and expert knowledge. Accurate detection and mapping of deforestation events involves manual interpretation of satellite remote sensing imagery by specialized analysts. A key factor in the mapping is to distinguish deforestation from other forest cover losses that occur in Canada. The NDMS was designed to make use of all available lines of evidence and be flexible to accommodate variable resourcing levels. This system has been producing national deforestation monitoring results annually since 2006. The flexibility of the NDMS’s design makes it possible to adapt to future changes in data and resource availability, and positions the program well for sustained operational delivery into the future.