The Alberta Human Footprint Monitoring Program (AHFMP) is collaboration between the following organizations: Alberta Environment and Parks (AEP) The Alberta Biodiversity Monitoring Institute (ABMI) Alberta Agriculture and Forestry (AAF) Alberta Energy Regulator (AER) Alberta Energy (AE) Various non-government organizations. The goal of the AHFMP is to improve the accuracy of the human footprint data and to focus expertise from the various organizations on a single footprint product. Currently AEP and ABMI co-lead the program. The AHFMP stratifies footprint features into footprint sublayers based on logical groupings. Roads, oil and gas well pads, rail lines, gravel pits, agriculture fields are examples of sub layers. Where possible, the AHFMP will obtain features for these sub layers directly from authoritative sources. In some of these cases the data authority are responsible for the distribution of the sub-layer. Only when the features are not available from an authoritative source will the AHFMP create their own data. When this occurs, the AHFMP will work with subject matter experts (SMEs) from various organizations to ensure the features are digitized and attributed correctly. AEP has completed the following sub-layers in collaboration with ABMI and Alberta Energy. These are available for public use: Oil and Gas Well Pads (conventional and in situ) for 2014 and 2016 Road verges, surfaces and centre lines for 2014 only. Pipeline verges and centre lines for 2016. Other sub-layers will be added as they are completed. ABMI is also working on numerous sub layers that are available on their website.

The Ontario Hydro Network (OHN) is a provincial medium scale originating from data with regional scales of 1: 10,000 in Southern Ontario, 1: 20,000 in Northern Ontario and 1: 50,000 in the Far North. The shoreline is taken from the OHN - Waterbody data class. This data is used for cartographic purposes and web mapping services. This product requires the use of geographic information system (GIS) software. [Ontario Hydro Network (OHN) User Guide (Word)](https://www.sdc.gov.on.ca/sites/MNRF-PublicDocs/EN/CMID/OHN%20-%20UserGuide.docx)

The Innu Audio Index is an extract from the Canadian Geographical Names Data Base (CGNDB) of geographical names with associated audio. The shared audio with the Geographical Names Board of Canada (GNBC) is the intellectual property of the Innu Nation. The points represent official geographical names in Innu-aimun, the language of the Innu Nation. The CGNDB is the authoritative national database of Canada's geographical names. It contains geographical names and their attributes that have been approved by the GNBC, the national coordinating body responsible for standards and policies on place names.The GNBC is working to increase awareness of existing Indigenous place names and help promote the revitalization of Indigenous cultures and languages. The GNBC does not warrant or guarantee that the information is accurate, complete or current at all times. For more information, to report data errors, or to suggest improvements, please contact the GNBC Secretariat at Natural Resources Canada with questions or for more information.

Normal Annual Runoff for 1961 - 1990, in mm

Industrial sectors.attributs:ID - Unique identifierName - Industrial park name**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The spatial representation for a Tree Farm Licence Addition, which is forest land designated by the Ministry to be added to an established Tree Farm Licence Schedule A or B For further information on Tree Farm Licenses please visit this website: https://www2.gov.bc.ca/gov/content?id=A93E6DFD8C164AD19CD17880450289A3

Forest Elevation(Ht) Mean 2015Mean height of lidar first returns (m). Represents the mean canopy height. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018) Wulder et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011

This dataset is a compilation of numerous data files recovered as part of a data request in 2024 from a historical archive of DFO research data. Sediment and Suspended Particulate Matter (SPM) samples were collected over more than a decade as part of Dr. Douglas Loring’s research program while working at the Bedford Institute of Oceanography (BIO). Samples were collected as part of individual and collaborative research projects, and links to the relevant primary science publications and reports are included in the data in an effort to provide context to the data, as well as describe the field and laboratory techniques used to generate the attached data.

The Canadian Weathership Program collected meteorological data at Station Papa (50N, 145W) in the North Pacific Ocean between 1949 and 1981. In 2014, researchers at the University of Washington (UW) Applied Physics Laboratory (APL) and the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) analyzed this historic data to determine its efficacy as a scientific tool. The data available here are the Government of Canada data files that were utilized for this analysis. The "OWSP Full Data (1949-1981)" file contains the entire Canadian Weathership Program record of data collected from Station Papa and the "OWSP Daily Averaged Wind Speed and Wave Height Data (1949-1981)" file contains daily averaged values of wind speed and wave height generated by the UW APL and NOAA PMEL researchers. The Data Dictionary for each data file contains notes on any quality controls that were applied to the data by the UW APL and NOAA PMEL researchers. The UW documents titled, "Data Documentation for Dataset 1170 (DSI-1170), Surface Marine Data, National Climatic Data Center" (https://digital.lib.washington.edu/researchworks/bitstream/handle/1773/25570/td1170.pdf?sequence=6&isAllowed=y) and "Table detailing units of data values in each file" (https://digital.lib.washington.edu/researchworks/handle/1773/25570), provide further information on the key values, point scales, and other units that were used in these datasets.

This view reflects what is in the Tree Farm License Agreement. Once an agreement is signed additions and deletions and changes occur that are not reflected in this layer. If you would like to see the current boundary please use the FADM - Tree Farm License Current View (TFL). Further information on Tree Farm Licenses please visit this website: https://www2.gov.bc.ca/gov/content?id=A93E6DFD8C164AD19CD17880450289A3 The spatial representation for a Tree Farm License, which is an agreement entered into under Part 3, Division 5 of the Forest Act which grants the rights to harvest timber. A tree farm licence has a term of 25 years and requires a management plan providing for the establishment, management, and harvesting of timber in a described area (Crown and private land) on a sustained or perpetual yield basis