{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"Creator": "Creator", "GeoLocation": "Lake Winnipeg Basin,Manitoba Great Lakes,Lake Winnipegosis,Lake Manitoba", "Identifier": "10.5203/2nq5-pc53", "IdentifierType": "DOI", "PublicationYear": "2026", "Publisher": "CanWIN", "ResourceType": "Online Resource", "ResourceTypeGeneral": "Collection", "Rights": "Creative Commons Attribution 4.0 International", "accessTerms": "CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset.\r\n\r\nBy using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available.", "author": null, "author_email": null, "citation": " ", "contributorType": "DataCurator", "creator_user_id": "4c109602-71d0-4ebc-b670-92f67b3004fd", "descriptionType": "Abstract", "eastBoundLongitude": "-27.066243609948597", "endDateType": "Other", "id": "2f8c057e-a1df-4ff8-8a76-744212ea379a", "isopen": false, "kvSchemeURI": "https://www.polardata.ca/pdcinput/public/keywordlibrary ", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2021-07-26T16:46:10.600302", "metadata_modified": "2026-05-14T22:12:28.289664", "name": "mbgl", "northBoundLatitude": "140.81676721572876", "notes": "The Manitoba Great Lakes (MBGL) program is led by researchers at the Centre for Earth Observation Science (CEOS) at the University of Manitoba, and is a multi-disciplinary collaboration dedicated to conducting research and providing data for science-based decision making in the Hudson Bay Watershed. \r\n\r\nThe upper Manitoba Great Lakes (Lake Manitoba, Winnipegosis and Waterhen) include the 27th (Winnipegosis) and 32nd (Manitoba) largest lakes in the world.  They are important drinking water sources for the people who live near their shores, and important recreational and fisheries resources for the region and the Province as a whole.  Moreover, they help to protect Lake Winnipeg by filtering nutrients and contaminants in runoff from its western watershed. In particular, the operation of the Portage Diversion during flood events has effectively shifted significant fractions of the Assiniboine River nutrient and contaminant load from the south basin of Lake Winnipeg to the south basin of Lake Manitoba, with undocumented impacts on the latter.  \r\n<br /> \r\nCurrently, the physical, chemical, biological and geological processes in the lakes are not well understood. Therefore, we have a poor ability to predict responses to change in factors such as climate, fishing pressure, and nutrient or contaminant loading from the watershed, or to understand impacts carried downstream to Lake Winnipeg, into Hudson Bay and the arctic. For example, climate change impacts include direct lake warming, which intensifies in-lake chemical and biological processes, and increasingly intense precipitation events. It is likely that this has led to increased runoff and more frequent flooding, and hence, increasing nutrient and contaminant transport from the watershed to the lakes, but we have no data to support this speculation. In Lake Manitoba, commercial catch of the most valuable species, pickerel, has declined by more than half since the 1980s. This may be due to pike in-migration through the Portage Diversion, or to high fishing pressure; we have too little information to know the cause. Most recently, in the summer of 2021, zebra mussel larvae were discovered in Lake Manitoba; again, without better information, the impact of this invasive species is a matter of conjecture. Overall, lake management and governance are being decided without adequate scientific support. \r\n<br /> \r\nThe MBGL program deploys moorings to measure physical and biological parameters in the lakes. Through various initiatives, including graduate programs, we also collect nutrient, biological and physical data from the MBGL lakes as well as the surrounding watersheds. Other projects include studying nutrient forcing of algal biomass and associated algal toxins. We look at water quality indicators such as chlorophyll, suspended solids and dissolved organic carbon and can use them to create visualizations such as maps of chlorophyll concentration in surface water. These methods combined with satellite data can be used for early detection of algal blooms and identify potential sites where algal toxins may occur.\r\n<br />\r\nThrough our multi-disciplinary research the MBGL program will provide biological and physical data to support science-based decision making in the Hudson Bay Watershed, at local, regional and hemispherical scales", "num_resources": 4, "num_tags": 10, "organization": {"id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", "name": "ceos", "title": "Centre for Earth Observation Science", "type": "organization", "description": "The Centre for Earth Observation Science (CEOS) was established in 1994 with a mandate to research, preserve and communicate knowledge of Earth system processes using the technologies of Earth Observation Science. Research is multidisciplinary and collaborative seeking to understand the complex interrelationships between elements of Earth systems, and how these systems will likely respond to climate change. Although researchers have worked in many regions, the Arctic marine system has always been a unifying focus of activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre (ARC, Aarhus, Denmark) established the Arctic Science Partnership, thereby integrating academic and research initiatives.\r\n\r\nAreas of existing research activity are divided among key themes:\r\n\r\nArctic Anthropology/Paleoclimatology: LiDAR scanning and digital site preservation, archaeo-geophysics, permafrost degredation, lithic morphometrics, zooarchaeology, proxy studies, paleodistribution of sea ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, ethnographic analogy, traditional knowledge, climate change and northern heritage resource management.\r\n\r\nAtmospheric Studies/Meteorology: Boundary layer, precipitation, clouds, storms and extreme weather, circulation, eddy correlations, polar vortex, climate, teleconnections, geophysical fluid dynamics, flux and energy budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice albedo feedback, cloud radiative forcing, pCO2. \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace metals, minerals, hydrocarbons, brine processes, otolith microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, trace metals, PAHs, source, transport, transformation, pathways, bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth Observation Science: Active and passive microwave, LiDAR, EM induction, spatial-temporal analysis, forward and inverse scattering models, complex permittivity, ocean colour, ocean surface roughness, NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: Biophysical processes, primary production; ice algae, ice microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland Lakes and Waters: Hydrologic connectivity, watershed systems, sediment transport, nutrient transport, contaminants, landscape processes, remote sensing, freshwater-marine coupling. Marine Mammals: Seals, whales, habitat, conservation, satellite telemetry, distribution, population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: Simulation of sea ice and oceanic regional processes, Nucleus for European Modelling of the Ocean (NEMO), ice-ocean modelling and interactions, hind cast simulations and projections for sea ice state and ocean variables based on CMIP5 scenarios and MIROC5 forcing, validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic processes, extreme ice features and hazards, snow, ridges, polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, hunting, food security, sea ice use, community-based research, community-based monitoring, two ways of knowing.", "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", "created": "2017-07-21T13:15:49.935872", "is_organization": true, "approval_status": "approved", "state": "active"}, "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", "private": false, "projectDataCuratorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "projectDataCuratorEmail": "portalco@umanitoba.ca", "projectDataCuratorName": "Herbert, Claire", "projectEndDate": "", "projectImage": "https://umanitoba.ca/earth-observation-science/sites/earth-observation-science/files/styles/21x9_1920w/public/2021-11/manitoba-great-lakes-program-hero-boat.jpg?itok=lGrLZpnX", "projectStartDate": "2012-04-01", "relatedIdentifier": "https://umanitoba.ca/earth-observation-science/research/manitoba-great-lakes-program", "relatedIdentifierType": "URL", "related_campaigns": ["8bf4a1bd-9695-4ec8-aae3-6b3fa785733c", "a9cc3947-2764-4a18-87ec-5f4466eb084d", "04725018-4822-4d38-b87b-b0f63510c4ba", "c795c705-c3da-4df0-9005-8f081d485cf1", "dc4d75fc-a46e-4b70-9b9d-d557c05124df", "ae169b7f-00dd-4533-828c-90d84dcb919e"], "related_datasets": ["5ded5325-5b41-4a92-ae57-9c0f5895b99f"], "related_deployments": [], "related_facility": ["9e21f6b6-d13f-4ba2-a379-fd962f507071", "e71895ff-beba-4070-8d87-1160bfb7de97"], "related_parent_programs": [], "related_publications": ["c5799573-734b-4d52-870f-8b997fb57d9c", "59f21fb1-a707-4202-afca-9e85507b4d9d", "70b39156-9782-4369-9321-f41d3026c642", "a94cdb6d-6634-4deb-815e-e67a75c84286", "775c19d9-11ae-4bb4-b323-f834ea94a695"], "related_subprograms": ["143260eb-ca0f-46fb-a55a-0be91a7eaa33", "7532a329-624f-48e7-a02d-9fb00d38ca81", "033d7863-1c85-4df1-9017-6ba5fd85911c", "4fa3a804-a8cb-4178-b4e1-4209f76ca184", "28bfae45-a279-4e64-a703-7acadf3738d0"], "relationType": "IsSupplementTo", "researchProgramName": "Manitoba Great Lakes Program", "rightsIdentifier": "CC-BY-4.0", "rightsIdentifierScheme": "SPDX", "rightsSchemeURI": "https://spdx.org/licenses", "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", "southBoundLatitude": "-19.980860824921276", "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-101.9038663102,49.9183916843],[-95.993221779,49.9183916843],[-95.993221779,54.1904544423],[-101.9038663102,54.1904544423],[-101.9038663102,49.9183916843]]]}", "spatial_regions": "manitoba-great-lakes", "startDateType": "Created", "state": "active", "status": "In Progress", "subjectScheme": "Polar Data Catalogue", "theme": ["b4d05094-3f1a-4c59-87f5-9bdfd5db0f0d", "d5c57e39-a747-4085-ba9c-3cfb44f9d5ef", "233d4241-32d6-4396-9f62-a7da8ac23e6d", "8f8cd877-b037-4b1a-b928-f86d9e093741", "ef00e01f-781b-4214-8102-f3f5379fe21a", "e8cfaf2b-6f2e-4b45-8644-afa1be48ed48", "520a54ad-aa0f-437b-9e84-8cb140bad3b8", "419c41f7-ab8b-49df-97e6-9b31c5e7d9af", "d6a0578a-c22e-4ce5-9da0-7d69b9515d0c", "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9", "7e6d0f18-a602-4564-9c75-184b848774a4", "ceb300e7-9775-4aa3-bda9-1c0324ddbbc2", "425fc471-9494-4835-b027-081ee01f40cf", "cbdd8c02-0141-4954-9d3d-02d2e533cd01"], "title": "The Manitoba Great Lakes Program", "type": "project", "url": null, "useTerms": "By accessing this data you agree to [CanWIN's Terms of Use](https://dev.uni-manitoba.links.com.au/data/publication/canwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", "version": null, "westBoundLongitude": "127.45739221572876", "coInvestigators": [{"affiliation": "Centre for Earth Observation Science - University of Manitoba", "contributorName": "Papakyriakou, Tim", "contributorType": "ProjectMember", "email": "Tim.Papakyriakou@umanitoba.ca", "nameIdentifier": ""}, {"affiliation": "Centre for Earth Observation Science - University of Manitoba", "contributorName": "Herbert, Claire", "contributorType": "ProjectManager", "email": "Claire.Herbert@umanitoba.ca", "nameIdentifier": "0000-0003-2724-4200", "nameIdentifierScheme": "ORCID", "schemeURI": "http://orcid.org/"}, {"affiliation": "Centre for Earth Observation Science - University of Manitoba", "contributorName": "McCullough, Greg", "contributorType": "ProjectLeader", "email": "Greg.McCullough@umanitoba.ca", "nameIdentifier": ""}], "groups": [{"description": "Air temperature data describe the temperature of the atmosphere near the Earth\u2019s surface, typically measured at standard height (e.g., 2 meters). These data support weather monitoring and forecasting, climate trend analysis, heat and cold extreme assessment, and studies of atmospheric processes affecting ecosystems and human activity.", "display_name": "Air Temperature", "id": "b4d05094-3f1a-4c59-87f5-9bdfd5db0f0d", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-171014.471281Air-Temperature.svg", "name": "air-temperature", "title": "Air Temperature"}, {"description": "Processes and phenomena of the atmosphere \u2013 or \u2018weather and climate\u2019. Examples of data you can find here include weather, atmospheric conditions, climate change info. \r\n\r\nIn CEOS, related research themes include atmospheric science and meteorology.", "display_name": "Atmosphere", "id": "d5c57e39-a747-4085-ba9c-3cfb44f9d5ef", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2021-10-31-211610.563086acinspireatmscond.svg", "name": "modelling", "title": "Atmosphere"}, {"description": "Dissolved organic carbon (DOC) data describe the concentration and distribution of organic carbon compounds dissolved in seawater and freshwater. 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These data products support monitoring of ocean biogeochemistry, ecosystem health, harmful algal bloom risk, coastal eutrophication, and long-term changes in nutrient cycling linked to climate and human activity.", "display_name": "Nutrients", "id": "e8cfaf2b-6f2e-4b45-8644-afa1be48ed48", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-190233.174934Nutrients.svg", "name": "nutrients", "title": "Nutrients"}, {"description": "Oxygen data products describe the concentration and distribution of dissolved oxygen in marine and freshwater environments. These data products support monitoring of ecosystem health, hypoxia and \u201cdead zone\u201d detection, water quality assessment, fisheries and habitat studies, and analysis of long-term changes in ocean and lake oxygen levels linked to climate and nutrient inputs.", "display_name": "Oxygen", "id": "520a54ad-aa0f-437b-9e84-8cb140bad3b8", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-04-02-165752.160436oxygen.svg", "name": "oxygen", "title": "Oxygen"}, {"description": "Particulate matter data products describe the concentration, composition, and distribution of suspended particles in the ocean or atmosphere, including organic material, minerals, and pollutants. These data products support water quality and air quality monitoring, ecosystem and biogeochemical studies, sediment transport analysis, and assessment of how particles influence light penetration, carbon cycling, and environmental health.", "display_name": "Particulate matter", "id": "419c41f7-ab8b-49df-97e6-9b31c5e7d9af", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-191041.596482Particulate-matter.svg", "name": "particulate-matter", "title": "Particulate matter"}, {"description": "Plankton data products describe the abundance, biomass, diversity, and distribution of plankton communities, including phytoplankton and zooplankton. These data products support monitoring of marine food webs, ecosystem productivity, fisheries research, harmful algal bloom assessment, and studies of ocean biogeochemistry and climate-driven change.", "display_name": "Plankton", "id": "d6a0578a-c22e-4ce5-9da0-7d69b9515d0c", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-191605.699126Plankton.svg", "name": "plankton", "title": "Plankton"}, {"description": "Subsurface temperature data products describe the temperature of seawater below the surface across different depths and ocean layers. These data products support monitoring of ocean heat content, climate and circulation studies, marine ecosystem research, and analysis of long-term changes in ocean structure and heat transport.", "display_name": "Subsurface Temperature", "id": "7e6d0f18-a602-4564-9c75-184b848774a4", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-185516.127976Subsurface-Temperature.svg", "name": "subsurface-temperature", "title": "Subsurface Temperature"}, {"description": "Surface salinity data products describe the concentration of dissolved salts in seawater at or near the ocean surface. These data products support monitoring of the global water cycle, ocean circulation and mixing, climate variability, freshwater input from rivers and ice melt, and studies of ocean\u2013atmosphere interactions.", "display_name": "Surface Salinity", "id": "ceb300e7-9775-4aa3-bda9-1c0324ddbbc2", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-184926.490290Surface-Salinity.svg", "name": "surface-salinity", "title": "Surface Salinity"}, {"description": "Surface temperature data products describe the temperature at the Earth\u2019s surface, including land and ocean surface temperatures derived from in situ measurements and remote sensing. These data products support weather and climate monitoring, heat extreme assessment, ecosystem studies, and analysis of energy exchange between the surface and the atmosphere.", "display_name": "Surface Temperature", "id": "425fc471-9494-4835-b027-081ee01f40cf", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-185139.912421Surface-Temperature.svg", "name": "surface-temperature", "title": "Surface Temperature"}, {"description": "Water colour data products describe the optical appearance of water based on how it absorbs and reflects light, often linked to chlorophyll, suspended sediments, and dissolved organic matter. 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