Source data for an on-line interactive map of Manitoba showing the locations of recycling depots.The Sustainable and Green Initiatives branch collect location and information data (name of the facility, address, hours of operation and phone number) from 12 producer responsibility organizations (PRO) on an annual basis.This is a point layer symbolized by the items accepted at that location.Fields Included: loc_ID Location identification number name Name of depot phone Phone number (if available) hours Hours and other details (if available) location_name Generic name of location (if available) box_unit P.O. Box number of Unit number (if available) address Street number and Street name City nearest City Province Province Postal Code Postal Code Country Country Latitude Latitude in Decimal Degrees Longitude Longitude in Decimal Degrees is_active Indicates if the location is actively accepting items website Website URL address (if available) created_date Date entry was created modified_date Date entry was modified by the branch cell_phones Indicates if this item is accepted, if blank it is not accepted at this location paint Indicates if this item is accepted, if blank it is not accepted at this location tires Indicates if this item is accepted, if blank it is not accepted at this location electronics Indicates if this item is accepted, if blank it is not accepted at this location plastic_bags Indicates if this item is accepted, if blank it is not accepted at this location oil_and_antifreeze Indicates if this item is accepted, if blank it is not accepted at this location Pharmaceuticals Indicates if this item is accepted, if blank it is not accepted at this location Rechargable_Batteries Indicates if this item is accepted, if blank it is not accepted at this location Fluorescent_Lights Indicates if this item is accepted, if blank it is not accepted at this location Mercury_containing_thermometers Indicates if this item is accepted, if blank it is not accepted at this location Blue_box_materials Indicates if this item is accepted, if blank it is not accepted at this location Lead_acid_batteries Indicates if this item is accepted, if blank it is not accepted at this location Pesticide_containers Indicates if this item is accepted, if blank it is not accepted at this location Scrap_metal Indicates if this item is accepted, if blank it is not accepted at this location textiles Indicates if this item is accepted, if blank it is not accepted at this location mattresses Indicates if this item is accepted, if blank it is not accepted at this location refrigeration_cooling Indicates if this item is accepted, if blank it is not accepted at this location

Game Hunting Areas (GHAs) are defined under the Hunting Areas and Zones Regulation (220/86) of The Wildlife Act (CCSM c. W130).Game Hunting Areas (GHAs) are defined under the Hunting Areas and Zones Regulation (220/86) of The Wildlife Act (CCSM c. W130). Game Hunting Areas are used to support boundaries for species specific hunting seasons, harvest allocations, bag limits, and associated regulations. Refer to the Hunting Areas and Zones Regulation for GHA boundary descriptions.

This publication contains thirteen (13) maps of different biogeochemical and soil properties of forest ecosystems of Canada’s managed forest. A scientific article gives additional details on the methodology: Paré, D., Manka, F., Barrette, J., Augustin, F., Beguin, J. 2021. Indicators of site sensitivity to the removal of forest harvest residues at the sub-continental scale: mapping, comparisons, and challenges. Ecol. Indicators. https://dx.doi.org/10.1016/j.ecolind.2021.107516

Fraction of absorbed photosynthetically active radiation (fAPAR) quantified the absorbed by green foliage. fAPAR has been identified by the Global Climate Observing System as an essential climate variable required for ecosystem, weather and climate modelling and monitoring. This product consists of a national scale coverage (Canada) of monthly maps of fAPAR during a growing season (May-June-July-August-September) at 20m resolution.References:L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.https://www.sciencedirect.com/science/article/pii/S0034425723001517

Leaf area index (LAI) quantified the density of vegetation irrespective of land cover. LAI quantifies the total foliage surface area per ground surface area. LAI has been identified by the Global Climate Observing System as an essential climate variable required for ecosystem, weather and climate modelling and monitoring. This product consists of a national scale coverage (Canada) of monthly maps of the maximum LAI during a growing season (May-June-july-August-September) at 20m.References:L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.https://www.sciencedirect.com/science/article/pii/S0034425723001517

This dataset accompanies the open access article "Improving satellite chlorophyll-a retrieval in the turbid waters of the Bay of Fundy, Canada" published in Estuaries and Coasts (https://doi.org/10.1007/s12237-024-01334-x). A full methods description is provided in the article. Briefly, we processed daily satellite data from the MODerate-resolution Imaging Spectroradiometer (MODIS) on the Aqua satellite from 2003 to 2021 at 300 m resolution to understand and quantify spatial and temporal trends in chlorophyll-a concentration (chl-a, a measure of phytoplankton biomass), and suspended particulate matter concentration (SPM) in the Bay of Fundy surface waters. This dataset provides the median yearly and seasonal climatology of chl-a (mg m-3 ) and SPM (g m-3) from 2003 to 2021 as geotiff layers. Here winter is defined as January to March, spring as April to June, summer as July to September, and fall as October to December. Chl-a was calculated with the OCX-SPMCor algorithm and SPM was calculated with the Nechad et al 2010 algorithm.Cite this data as: Wilson, K., Hilborn, A., Clay, S., Devred, E. Data ofSatellite derived surface chlorophyll-a and suspended particulate matter in the Bay of Fundy from 2003 to 2021. Published February 2024. Ocean Ecosystem Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/272f5cf1-52bb-416b-b92a-8bc9384fc24d

The Provincial Parks Act provides for designation of lands to be managed under the Act that are not established as parks/protected areas. These lands are 'declared' under the Provincial Parks (Section 7 Declaration) Regulation, and are legally described in Schedules to the Regulation. Specific provisions of the Act and regulations may be applied to each land parcel declared under section 7 to provide for management of the lands. Section 7 is used to address interim management of lands that have been acquired for park/protected area purposes but are not yet designated, or where activities not permitted in a park/protected area are being managed until such time as the activity is completed and the lands can be designated as a park/protected area. The applicable Ministerial Order is referenced in the 'NOTES' field.

FCOVER corresponds to the amount of the ground surface that is covered by vegetation, including the understory, when viewed vertically (from nadir). FCOVER is an indicator of the spatial extent of vegetation independent of land cover class. It is a dimensionless quantity that varies from 0 to 1, and as an intrinsic property of the canopy, is not dependent on satellite observation conditions. This product consists of a national scale coverage (Canada) of monthly maps of FCOVER indicator during a growing season (May-June-July-August-September) at 20m resolution.References:L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.https://www.sciencedirect.com/science/article/pii/S0034425723001517

A predictive model for Canadian carbonatite-hosted REE ± Nb deposits is presented herein. This model was developed by integrating diverse data layers derived from geophysical, geochronological, and geological sources. These layers represent the key components of carbonatite-hosted REE ± Nb mineral systems, including the source, transport mechanisms, geological traps, and preservation processes. Deep learning algorithms were employed to integrate these layers into a comprehensive predictive framework. Here is a link to the publication that describes this product: https://link.springer.com/article/10.1007/s11053-024-10369-7

The purpose of this dataset is to give an accurate representation of the game hunting boundaries in Manitoba.The purpose of this dataset is to give an accurate representation of the game hunting boundaries in Manitoba.Game Hunting Areas (GHAs) are defined under the Hunting Areas and Zones Regulation (220/86) of The Wildlife Act (CCSM c. W130). Game Hunting Areas are used to support boundaries for species-specific hunting seasons, harvest allocations, bag limits and associated regulations. Refer to the Hunting Areas and Zones Regulation for GHA boundary descriptions.Fields included (Alias (Field Name): Field description)OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated GHA (GHA): the number assigned to each Game Hunting Area Shape_Length (Shape_Length): the length of the feature in internal units Shape_Area (Shape_Area): area of the feature in internal units squared