Changes
On April 6, 2022 at 3:36:09 PM CDT, Claire Herbert:
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Changed title to MBGL Synoptic Survey 2 August 4 - August 12 , 2017 (previously MBGL Synoptic Survey 2 August 4 - August , 2017)
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Moved MBGL Synoptic Survey 2 August 4 - August 12 , 2017 from https://canwin-datahub.ad.umanitoba.ca/data/dataset/mbgl-synoptic-survey-2-july-2017 to https://canwin-datahub.ad.umanitoba.ca/data/dataset/mbgl-ss2-2017
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Changed value of field
campaignEndDate
to2017-08-12
in MBGL Synoptic Survey 2 August 4 - August 12 , 2017 -
Changed value of field
related_deployments
to["c7a782e0-61f8-4524-b942-0f79bd3d6a83", "e311c811-e54b-44db-a23f-ef79daa9ad18"]
in MBGL Synoptic Survey 2 August 4 - August 12 , 2017
f | 1 | { | f | 1 | { |
2 | "affiliation": "Centre for Earth Observation Science - University of | 2 | "affiliation": "Centre for Earth Observation Science - University of | ||
3 | Manitoba", | 3 | Manitoba", | ||
4 | "author": null, | 4 | "author": null, | ||
5 | "author_email": null, | 5 | "author_email": null, | ||
n | 6 | "campaignEndDate": "", | n | 6 | "campaignEndDate": "2017-08-12", |
7 | "campaignStartDate": "2017-08-04", | 7 | "campaignStartDate": "2017-08-04", | ||
8 | "chiefScientist": "Barber, David", | 8 | "chiefScientist": "Barber, David", | ||
9 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 9 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
10 | "descriptionType": "Abstract", | 10 | "descriptionType": "Abstract", | ||
11 | "email": "david.barber@umanitoba.ca", | 11 | "email": "david.barber@umanitoba.ca", | ||
12 | "groups": [], | 12 | "groups": [], | ||
13 | "id": "dc4d75fc-a46e-4b70-9b9d-d557c05124df", | 13 | "id": "dc4d75fc-a46e-4b70-9b9d-d557c05124df", | ||
14 | "isopen": false, | 14 | "isopen": false, | ||
15 | "license_id": null, | 15 | "license_id": null, | ||
16 | "license_title": null, | 16 | "license_title": null, | ||
17 | "location": "Lake Manitoba,Lake Winnipegosis,Lake Waterhen,Fairford | 17 | "location": "Lake Manitoba,Lake Winnipegosis,Lake Waterhen,Fairford | ||
18 | River,Overflowing River", | 18 | River,Overflowing River", | ||
19 | "maintainer": null, | 19 | "maintainer": null, | ||
20 | "maintainer_email": null, | 20 | "maintainer_email": null, | ||
21 | "metadata_created": "2022-04-06T17:15:10.166375", | 21 | "metadata_created": "2022-04-06T17:15:10.166375", | ||
n | 22 | "metadata_modified": "2022-04-06T17:20:33.450991", | n | 22 | "metadata_modified": "2022-04-06T20:36:09.116657", |
23 | "name": "mbgl-synoptic-survey-2-july-2017", | 23 | "name": "mbgl-ss2-2017", | ||
24 | "notes": "Survey 2 took place from July , 2017. Lakes Manitoba, | 24 | "notes": "Survey 2 took place from July , 2017. Lakes Manitoba, | ||
25 | Winnipegosis and Waterhen were sampled and underwater moorings | 25 | Winnipegosis and Waterhen were sampled and underwater moorings | ||
26 | deployed on Lakes Manitoba and Watern. Multiple rivers around the | 26 | deployed on Lakes Manitoba and Watern. Multiple rivers around the | ||
27 | sample area were also sampled for surface water. Samples were taken at | 27 | sample area were also sampled for surface water. Samples were taken at | ||
28 | all sites for nutrients, biogeochemistry, physical variables (light), | 28 | all sites for nutrients, biogeochemistry, physical variables (light), | ||
29 | zooplankton and algae for taxonomy. At deeper stations bottom samples | 29 | zooplankton and algae for taxonomy. At deeper stations bottom samples | ||
30 | were also taken. Water samples were filtered either at Lake Waterhen | 30 | were also taken. Water samples were filtered either at Lake Waterhen | ||
31 | cabin or at CEOS and sent to the Freshwater Institute for analysis.", | 31 | cabin or at CEOS and sent to the Freshwater Institute for analysis.", | ||
32 | "num_resources": 0, | 32 | "num_resources": 0, | ||
33 | "num_tags": 0, | 33 | "num_tags": 0, | ||
34 | "organization": { | 34 | "organization": { | ||
35 | "approval_status": "approved", | 35 | "approval_status": "approved", | ||
36 | "created": "2017-07-21T13:15:49.935872", | 36 | "created": "2017-07-21T13:15:49.935872", | ||
37 | "description": "The Centre for Earth Observation Science (CEOS) | 37 | "description": "The Centre for Earth Observation Science (CEOS) | ||
38 | was established in 1994 with a mandate to research, preserve and | 38 | was established in 1994 with a mandate to research, preserve and | ||
39 | communicate knowledge of Earth system processes using the technologies | 39 | communicate knowledge of Earth system processes using the technologies | ||
40 | of Earth Observation Science. Research is multidisciplinary and | 40 | of Earth Observation Science. Research is multidisciplinary and | ||
41 | collaborative seeking to understand the complex interrelationships | 41 | collaborative seeking to understand the complex interrelationships | ||
42 | between elements of Earth systems, and how these systems will likely | 42 | between elements of Earth systems, and how these systems will likely | ||
43 | respond to climate change. Although researchers have worked in many | 43 | respond to climate change. Although researchers have worked in many | ||
44 | regions, the Arctic marine system has always been a unifying focus of | 44 | regions, the Arctic marine system has always been a unifying focus of | ||
45 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 45 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
46 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 46 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
47 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 47 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
48 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 48 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
49 | existing research activity are divided among key themes:\r\n\r\nArctic | 49 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
50 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 50 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
51 | preservation, archaeo-geophysics, permafrost degredation, lithic | 51 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
52 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 52 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
53 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 53 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
54 | ethnographic analogy, traditional knowledge, climate change and | 54 | ethnographic analogy, traditional knowledge, climate change and | ||
55 | northern heritage resource management.\r\n\r\nAtmospheric | 55 | northern heritage resource management.\r\n\r\nAtmospheric | ||
56 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 56 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
57 | extreme weather, circulation, eddy correlations, polar vortex, | 57 | extreme weather, circulation, eddy correlations, polar vortex, | ||
58 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 58 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
59 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 59 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
60 | albedo feedback, cloud radiative forcing, pCO2. | 60 | albedo feedback, cloud radiative forcing, pCO2. | ||
61 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 61 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
62 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 62 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
63 | metals, minerals, hydrocarbons, brine processes, otolith | 63 | metals, minerals, hydrocarbons, brine processes, otolith | ||
64 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 64 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
65 | trace metals, PAHs, source, transport, transformation, pathways, | 65 | trace metals, PAHs, source, transport, transformation, pathways, | ||
66 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 66 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
67 | Observation Science: Active and passive microwave, LiDAR, EM | 67 | Observation Science: Active and passive microwave, LiDAR, EM | ||
68 | induction, spatial-temporal analysis, forward and inverse scattering | 68 | induction, spatial-temporal analysis, forward and inverse scattering | ||
69 | models, complex permittivity, ocean colour, ocean surface roughness, | 69 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
70 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 70 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
71 | Biophysical processes, primary production; ice algae, ice | 71 | Biophysical processes, primary production; ice algae, ice | ||
72 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 72 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
73 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 73 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
74 | transport, nutrient transport, contaminants, landscape processes, | 74 | transport, nutrient transport, contaminants, landscape processes, | ||
75 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 75 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
76 | whales, habitat, conservation, satellite telemetry, distribution, | 76 | whales, habitat, conservation, satellite telemetry, distribution, | ||
77 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 77 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
78 | Simulation of sea ice and oceanic regional processes, Nucleus for | 78 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
79 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 79 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
80 | interactions, hind cast simulations and projections for sea ice state | 80 | interactions, hind cast simulations and projections for sea ice state | ||
81 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 81 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
82 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 82 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
83 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 83 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
84 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 84 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
85 | processes, extreme ice features and hazards, snow, ridges, | 85 | processes, extreme ice features and hazards, snow, ridges, | ||
86 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 86 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
87 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 87 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
88 | hunting, food security, sea ice use, community-based research, | 88 | hunting, food security, sea ice use, community-based research, | ||
89 | community-based monitoring, two ways of knowing.", | 89 | community-based monitoring, two ways of knowing.", | ||
90 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 90 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
91 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 91 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
92 | "is_organization": true, | 92 | "is_organization": true, | ||
93 | "name": "ceos2", | 93 | "name": "ceos2", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "title": "CEOS", | 95 | "title": "CEOS", | ||
96 | "type": "organization" | 96 | "type": "organization" | ||
97 | }, | 97 | }, | ||
98 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 98 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
99 | "platformName": "MV Lowe, Jetboat", | 99 | "platformName": "MV Lowe, Jetboat", | ||
100 | "platformType": "research vessel", | 100 | "platformType": "research vessel", | ||
101 | "private": false, | 101 | "private": false, | ||
102 | "related_datasets": "[]", | 102 | "related_datasets": "[]", | ||
103 | "related_deployments": "[\"c7a782e0-61f8-4524-b942-0f79bd3d6a83\", | 103 | "related_deployments": "[\"c7a782e0-61f8-4524-b942-0f79bd3d6a83\", | ||
n | 104 | \"2b51519b-07ed-4026-aeb8-3f9b7a7a636c\"]", | n | 104 | \"e311c811-e54b-44db-a23f-ef79daa9ad18\"]", |
105 | "related_instruments": "[]", | 105 | "related_instruments": "[]", | ||
106 | "related_platforms": "[\"afda7aef-0027-450e-9c4c-848f757e0c50\"]", | 106 | "related_platforms": "[\"afda7aef-0027-450e-9c4c-848f757e0c50\"]", | ||
107 | "related_programs": "[\"2f8c057e-a1df-4ff8-8a76-744212ea379a\"]", | 107 | "related_programs": "[\"2f8c057e-a1df-4ff8-8a76-744212ea379a\"]", | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
110 | "researchArea": "manitoba-great-lakes", | 110 | "researchArea": "manitoba-great-lakes", | ||
111 | "resources": [], | 111 | "resources": [], | ||
112 | "state": "active", | 112 | "state": "active", | ||
113 | "tags": [], | 113 | "tags": [], | ||
t | 114 | "title": "MBGL Synoptic Survey 2 August 4 - August , 2017", | t | 114 | "title": "MBGL Synoptic Survey 2 August 4 - August 12 , 2017", |
115 | "type": "campaign", | 115 | "type": "campaign", | ||
116 | "url": null, | 116 | "url": null, | ||
117 | "version": null | 117 | "version": null | ||
118 | } | 118 | } |