{"help": "https://canwin-datahub.ad.umanitoba.ca/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"author": null, "author_email": null, "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", "dataCollector": "Herbert, Claire", "deploymentID": "GL_LMB_M_2017", "id": "c7a782e0-61f8-4524-b942-0f79bd3d6a83", "isopen": false, "license_id": null, "license_title": null, "locationOrStationID": "GL_LMB_M", "maintainer": null, "maintainer_email": null, "metadata_created": "2022-01-16T19:06:52.700440", "metadata_modified": "2024-05-06T17:58:08.910495", "name": "2017-gl_lmb_m-deployment", "notes": "", "num_resources": 1, "num_tags": 0, "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", "platformType": "mooring", "private": false, "related_campaigns": ["ae169b7f-00dd-4533-828c-90d84dcb919e"], "related_datasets": [], "related_instruments": ["77e89bdc-8896-4ce7-a2d7-d5e1a57196f5", "4f8f38d7-e3e7-4593-a397-dfaca14e5e0f"], "related_platforms": ["f92d8d6c-a40d-4a61-a7ac-cceca8937791"], "related_programs": ["143260eb-ca0f-46fb-a55a-0be91a7eaa33", "4fa3a804-a8cb-4178-b4e1-4209f76ca184"], "researchArea": "manitoba-great-lakes", "state": "active", "title": "Lake Manitoba Mooring 2017 Deployment", "type": "deployment_details", "url": null, "version": null, "extras": [{"key": "deployment_date", "value": "[{\"activity\": \"Deployed and Retrieved,Redeployed\", \"deploymentEndDate\": \"2017-08-05\", \"deploymentStartDate\": \"2017-05-20\", \"notes\": \"Put in mooring after sampling. Time in 10:17 @ ~ 51.733, -99.4477 (couldn't see bottom of photocopied page). Anchor up at 10:20. Finished sampling at 10:10\"}, {\"activity\": \"Retrieved to download data,re-deployed,see notes for details,Retrieved for winter by David Barber\", \"deploymentEndDate\": \"2017-10-12\", \"deploymentStartDate\": \"2017-08-05\", \"notes\": \"Ecotriplet 1437, CT 1578. Mooring in 09:24 (yellow float)\"}]"}], "instrumentDetails": [{"description": "A three-optical-sensor, user-defined instrument that may carry any combination of single-wavelength fluorometers or scattering meters. The fluorometers can be configured (with typical sensitivities) for chlorophyll (470/695 nm, sensitivity 0.015-0.025 ug/l), FDOM (370/460 nm, sensitivity 0.184 ppb), phycocyanin (630/680 nm, 0.086 ppb), phycoerythrin (520/595 nm, sensitivity 0.086 ppb), uranine (470/530 nm, sensitivity 0.073 ppb) or rhodamine (520/595 nm, 0.086 ppb). The scattering meter can typically measure optical scattering at blue, green or red wavelengths (412, 470, 532, 650, 700 and 880 nm, sensitivity 0.002-0.003 m-1).", "instrumentID": "BBFL2WB1437", "instrumentIdentifierType": "DOI", "instrumentName": "Ecotriplet 1437", "standardizedInstrumentName": "WETLabs ECO Triplet sensor"}, {"description": "ACT-HR Compact-CT Conductivity and Temperature sensor used on Manitoba Great Lakes Moorings", "instrumentID": "1578", "instrumentIdentifierType": "DOI", "instrumentName": "CT 1578", "standardizedInstrumentName": "Alec CT (conductivity, temperature) sampler"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2022-01-16T19:13:43.731905", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Notes regarding the 2017 deployments of the Lake Manitoba mooring", "format": "TXT", "hash": "", "id": "fe47d080-9538-44d4-b0e7-4f3ca32964d2", "last_modified": "2022-01-16T19:13:43.557378", "metadata_modified": "2022-01-16T19:13:43.718141", "mimetype": "text/plain", "mimetype_inner": null, "name": "GL_LMB_M Deployment notes", "package_id": "c7a782e0-61f8-4524-b942-0f79bd3d6a83", "position": 0, "resCategory": "documents", "resource_type": null, "size": 221, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/c7a782e0-61f8-4524-b942-0f79bd3d6a83/resource/fe47d080-9538-44d4-b0e7-4f3ca32964d2/download/gl_lmb_m_deploymentnotes.txt", "url_type": "upload"}], "tags": [], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}