Applications for the surface location of a well associated with oil and gas activity. This dataset contains point features for proposed applications collected through the BC Energy Regulator's Application Management System (AMS). This dataset is updated nightly

A point file showing a collection of specific GPS spatial points recorded during the video taping of the shoreline. The points are represented by a specific latitude and longitude taken at a specific date and time. Each are associated with a specific BIOSLIDE at a specific SHOREUNIT in the Shorezone data

This thematic layer shows the location of water sampling sites authorized in Quebec under section 22 of the Environment Quality Act (chapter Q-2) and their associated volume (liter per day). Water sampling sites are the sites where water enters a facility designed to take water, both underground and surface. The database includes active authorizations to take water since the Water Withdrawal and Protection Regulation (RPEP) came into force on August 14, 2014.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis.The data provided here show the population counts and percentage distribution for various geographic levels by broad age groups, males, females and both sexes, from the 2016 Census.

In the hydrogeological unit, quantity of water that replenishes groundwater beneath the water table, expressed in mm/yr. Recharge is usually calculated using hydrology balance, integrating information from precipitation, hydrology data, drainage, soil properties, evapotranspiration, etc. The result is a raster dataset in which each cell has a given value for the recharge of the aquifer. It can be calculate using HELP software, developed by the US EPA. The methods used to create the dataset are described in the metadata associated with the dataset. The dataset represent a raster in which each cell has a mean value describing the global annual recharge of the hydrogeological unit.

Hydraulic properties characterize a hydrogeological unit. The hydraulic properties considered for this dataset are the transmissivity, the hydraulic conductivity, the storage coefficient, the specific storage coefficient and the porosity. Hydraulic properties are estimated by performing aquifer tests (pumping tests, slug tests). The hydraulic tests and their duration are managed in this dataset. The methods used to create the dataset are described in the metadata associated with the dataset. The dataset exhibits a general description of hydraulic properties of the hydrogeological unit, including hydraulic test, total test duration, method and date. It includes numbers and/or ranges describing the aquifer tests results. Note that an alternate raster representation could be used in complement to the discrete point-based representation.

Layer of points representing the intersections of the road network in the city of Saint-Hyacinthe.**Collection context** Associated with the layer of street sections of the city's road network.Topological intersection points associated with the intersections of segments of street sections.**Collection method** Computer-aided design with topological rules between the road network and the intersection nodes.**Attributes*** `ASSET_ID` (`integer`): Identifier* `TYPE_REF` (`varchar`): Type reference* `SOURCE` (`varchar`): Source* `DATE_CREATION` (`smalldatetime`): Creation date* `DATE_MODIFICATION` (`smalldatetime`): Date of modification* `USER_MODIFICATION` (`varchar`): Modified by* `LOC_SYMBOL` (`varchar`): Symbol* `LOC_ROTATION` (`numeric`): Rotation angleFor 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).**

The 2023 mapping of potential wetlands in Quebec (CMHPQ) 2023, released by the Directorate of Ecological Knowledge (DCE), provides up-to-date information on the potential presence of wetlands for the entire province of Quebec. In particular, version 2023 contains the classification of potentially humid geographical entities according to a selected typology and the assignment of a level of confidence associated with each entity and integrates new data sources. This mapping is an aggregation of different databases produced for other purposes and at different scales. The result of this assembly depends on the precision and accuracy of each of the data sources used. This data must be used while remaining vigilant with regard to their potential and limitations.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The amount of groundwater exploited is estimated in m³/year. Groundwater usages are classified in four categories: agricultural, industrial, domestic and energy. Typically, groundwater usage should be represented as a series of sub-polygons or points fitting inside the boundary of the hydrogeological unit. The scope and method used to estimate the amount of water are described in the metadata associated with the dataset. The dataset identifies the main usages for the hydrogeological unit. It features numbers and percentages describing groundwater usages for a predetermined scope. The groundwater usage is frequently compiled by municipalities or counties. It could then be possible to display the usage by superimposing a series of pie charts depicting the groundwater usages over multiples administrative areas.

This record contains a comprehensive synthesis of previously published highly branched isoprenoid (HBI) results, providing a quantitative spatial and temporal assessment of carbon partitioning within the Arctic marine ecosystem and validating estimates of sea-ice particulate organic carbon (iPOC) values as quantitative predictors of ice algal carbon in Arctic food webs.This publication was a collaborative effort with the following contributors: David Yurkowski (Fisheries and Oceans Canada), Lisa Loseto (Fisheries and Oceans Canada), Steve Ferguson (Fisheries and Oceans Canada), Bruno Rosenberg (Fisheries and Oceans Canada), C.W. Koch (Natural History Museum, London, UK; University of Maryland Center for Environmental Science, Maryland, US); T.A. Brown (Scottish Association for Marine Science, Oban, Scotland); R. Amiraux (Centre for Earth Observation Science, University of Manitoba, Canada); C. Ruiz-Gonzalez (Scottish Association for Marine Science, Oban, Scotland); M. Maccorquodale (Scottish Association for Marine Science, Oban, Scotland); G. Yunda-Guarin (Québec-Océan and Takuvik, Biology Department, Laval University, Canada); D. Kohlbach (Norwegian Polar Institute, Fram Centre, Tromsø, Norway); N.E. Hussey (Integrative Biology, University of Windsor, Ontario, Canada).