Changes
On April 6, 2022 at 12:24:15 PM CDT,

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Changed title to Lake Waterhen Mooring 2017 Deployment (previously 2017 GL_LWH_M Deployment)
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Changed value of field
related_datasets
to[]
in Lake Waterhen Mooring 2017 Deployment -
Changed value of field
deployment_date
to[{'activity': 'Retrieved to download data then re-deployed,Deployed ecotriplet 1442,deployed CT 1589,Time in 1608h', 'deploymentEndDate': '', 'deploymentStartDate': '2017-05-20'}]
in Lake Waterhen Mooring 2017 Deployment -
Changed value of field
related_campaigns
to["04725018-4822-4d38-b87b-b0f63510c4ba"]
in Lake Waterhen Mooring 2017 Deployment -
Changed value of field
dataCollector
toHerbert, claire
in Lake Waterhen Mooring 2017 Deployment -
Changed value of field
deploymentID
toGL_LWH_M_2017
in Lake Waterhen Mooring 2017 Deployment -
Uploaded a new file to resource GL_LWH_M Deployment Notes 4 August 2017 in Lake Waterhen Mooring 2017 Deployment
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 4 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
n | 5 | "dataCollector": "Barber, David", | n | 5 | "dataCollector": "Herbert, claire", |
6 | "deploymentID": "2017", | 6 | "deploymentID": "GL_LWH_M_2017", | ||
7 | "deployment_date": [ | 7 | "deployment_date": [ | ||
8 | { | 8 | { | ||
n | 9 | "activity": "Retrieved to download data then re-deployed", | n | 9 | "activity": "Retrieved to download data then |
10 | re-deployed,Deployed ecotriplet 1442,deployed CT 1589,Time in 1608h", | ||||
10 | "deploymentEndDate": "", | 11 | "deploymentEndDate": "", | ||
n | 11 | "deploymentStartDate": "2017-08-04" | n | 12 | "deploymentStartDate": "2017-05-20" |
12 | } | 13 | } | ||
13 | ], | 14 | ], | ||
14 | "groups": [], | 15 | "groups": [], | ||
15 | "id": "e311c811-e54b-44db-a23f-ef79daa9ad18", | 16 | "id": "e311c811-e54b-44db-a23f-ef79daa9ad18", | ||
16 | "instrumentDetails": [ | 17 | "instrumentDetails": [ | ||
17 | { | 18 | { | ||
18 | "description": "A three-optical-sensor, user-defined instrument | 19 | "description": "A three-optical-sensor, user-defined instrument | ||
19 | that may carry any combination of single-wavelength fluorometers or | 20 | that may carry any combination of single-wavelength fluorometers or | ||
20 | scattering meters. The fluorometers can be configured (with typical | 21 | scattering meters. The fluorometers can be configured (with typical | ||
21 | sensitivities) for chlorophyll (470/695 nm, sensitivity 0.015-0.025 | 22 | sensitivities) for chlorophyll (470/695 nm, sensitivity 0.015-0.025 | ||
22 | ug/l), FDOM (370/460 nm, sensitivity 0.184 ppb), phycocyanin (630/680 | 23 | ug/l), FDOM (370/460 nm, sensitivity 0.184 ppb), phycocyanin (630/680 | ||
23 | nm, 0.086 ppb), phycoerythrin (520/595 nm, sensitivity 0.086 ppb), | 24 | nm, 0.086 ppb), phycoerythrin (520/595 nm, sensitivity 0.086 ppb), | ||
24 | uranine (470/530 nm, sensitivity 0.073 ppb) or rhodamine (520/595 nm, | 25 | uranine (470/530 nm, sensitivity 0.073 ppb) or rhodamine (520/595 nm, | ||
25 | 0.086 ppb). The scattering meter can typically measure optical | 26 | 0.086 ppb). The scattering meter can typically measure optical | ||
26 | scattering at blue, green or red wavelengths (412, 470, 532, 650, 700 | 27 | scattering at blue, green or red wavelengths (412, 470, 532, 650, 700 | ||
27 | and 880 nm, sensitivity 0.002-0.003 m-1)", | 28 | and 880 nm, sensitivity 0.002-0.003 m-1)", | ||
28 | "instrumentID": "BBFL2WB1442", | 29 | "instrumentID": "BBFL2WB1442", | ||
29 | "instrumentIdentifierType": "DOI", | 30 | "instrumentIdentifierType": "DOI", | ||
30 | "instrumentName": "Ecotriplet 1442", | 31 | "instrumentName": "Ecotriplet 1442", | ||
31 | "standardizedInstrumentName": "WETLabs ECO Triplet sensor" | 32 | "standardizedInstrumentName": "WETLabs ECO Triplet sensor" | ||
32 | }, | 33 | }, | ||
33 | { | 34 | { | ||
34 | "description": "Conductivity and Temperature sensor used on | 35 | "description": "Conductivity and Temperature sensor used on | ||
35 | Manitoba Great Lakes Moorings", | 36 | Manitoba Great Lakes Moorings", | ||
36 | "instrumentID": "1589", | 37 | "instrumentID": "1589", | ||
37 | "instrumentIdentifierType": "DOI", | 38 | "instrumentIdentifierType": "DOI", | ||
38 | "instrumentName": "Alec CT", | 39 | "instrumentName": "Alec CT", | ||
39 | "standardizedInstrumentName": "" | 40 | "standardizedInstrumentName": "" | ||
40 | } | 41 | } | ||
41 | ], | 42 | ], | ||
42 | "isopen": false, | 43 | "isopen": false, | ||
43 | "license_id": null, | 44 | "license_id": null, | ||
44 | "license_title": null, | 45 | "license_title": null, | ||
45 | "locationOrStationID": "GL_LWH_M", | 46 | "locationOrStationID": "GL_LWH_M", | ||
46 | "maintainer": null, | 47 | "maintainer": null, | ||
47 | "maintainer_email": null, | 48 | "maintainer_email": null, | ||
48 | "metadata_created": "2021-11-09T18:24:48.047721", | 49 | "metadata_created": "2021-11-09T18:24:48.047721", | ||
n | 49 | "metadata_modified": "2022-01-16T05:44:32.238174", | n | 50 | "metadata_modified": "2022-04-06T17:24:14.817713", |
50 | "name": "2017-gl_lwh_m-deployment", | 51 | "name": "2017-gl_lwh_m-deployment", | ||
51 | "notes": null, | 52 | "notes": null, | ||
52 | "num_resources": 1, | 53 | "num_resources": 1, | ||
53 | "num_tags": 0, | 54 | "num_tags": 0, | ||
54 | "organization": { | 55 | "organization": { | ||
55 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
56 | "created": "2017-07-21T13:15:49.935872", | 57 | "created": "2017-07-21T13:15:49.935872", | ||
57 | "description": "The Centre for Earth Observation Science (CEOS) | 58 | "description": "The Centre for Earth Observation Science (CEOS) | ||
58 | was established in 1994 with a mandate to research, preserve and | 59 | was established in 1994 with a mandate to research, preserve and | ||
59 | communicate knowledge of Earth system processes using the technologies | 60 | communicate knowledge of Earth system processes using the technologies | ||
60 | of Earth Observation Science. Research is multidisciplinary and | 61 | of Earth Observation Science. Research is multidisciplinary and | ||
61 | collaborative seeking to understand the complex interrelationships | 62 | collaborative seeking to understand the complex interrelationships | ||
62 | between elements of Earth systems, and how these systems will likely | 63 | between elements of Earth systems, and how these systems will likely | ||
63 | respond to climate change. Although researchers have worked in many | 64 | respond to climate change. Although researchers have worked in many | ||
64 | regions, the Arctic marine system has always been a unifying focus of | 65 | regions, the Arctic marine system has always been a unifying focus of | ||
65 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 66 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
66 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 67 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
67 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 68 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
68 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 69 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
69 | existing research activity are divided among key themes:\r\n\r\nArctic | 70 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
70 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 71 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
71 | preservation, archaeo-geophysics, permafrost degredation, lithic | 72 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
72 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 73 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
73 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 74 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
74 | ethnographic analogy, traditional knowledge, climate change and | 75 | ethnographic analogy, traditional knowledge, climate change and | ||
75 | northern heritage resource management.\r\n\r\nAtmospheric | 76 | northern heritage resource management.\r\n\r\nAtmospheric | ||
76 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 77 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
77 | extreme weather, circulation, eddy correlations, polar vortex, | 78 | extreme weather, circulation, eddy correlations, polar vortex, | ||
78 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 79 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
79 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 80 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
80 | albedo feedback, cloud radiative forcing, pCO2. | 81 | albedo feedback, cloud radiative forcing, pCO2. | ||
81 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 82 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
82 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 83 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
83 | metals, minerals, hydrocarbons, brine processes, otolith | 84 | metals, minerals, hydrocarbons, brine processes, otolith | ||
84 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 85 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
85 | trace metals, PAHs, source, transport, transformation, pathways, | 86 | trace metals, PAHs, source, transport, transformation, pathways, | ||
86 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 87 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
87 | Observation Science: Active and passive microwave, LiDAR, EM | 88 | Observation Science: Active and passive microwave, LiDAR, EM | ||
88 | induction, spatial-temporal analysis, forward and inverse scattering | 89 | induction, spatial-temporal analysis, forward and inverse scattering | ||
89 | models, complex permittivity, ocean colour, ocean surface roughness, | 90 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
90 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 91 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
91 | Biophysical processes, primary production; ice algae, ice | 92 | Biophysical processes, primary production; ice algae, ice | ||
92 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 93 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
93 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 94 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
94 | transport, nutrient transport, contaminants, landscape processes, | 95 | transport, nutrient transport, contaminants, landscape processes, | ||
95 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 96 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
96 | whales, habitat, conservation, satellite telemetry, distribution, | 97 | whales, habitat, conservation, satellite telemetry, distribution, | ||
97 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 98 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
98 | Simulation of sea ice and oceanic regional processes, Nucleus for | 99 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
99 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 100 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
100 | interactions, hind cast simulations and projections for sea ice state | 101 | interactions, hind cast simulations and projections for sea ice state | ||
101 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 102 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
102 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 103 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
103 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 104 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
104 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 105 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
105 | processes, extreme ice features and hazards, snow, ridges, | 106 | processes, extreme ice features and hazards, snow, ridges, | ||
106 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 107 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
107 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 108 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
108 | hunting, food security, sea ice use, community-based research, | 109 | hunting, food security, sea ice use, community-based research, | ||
109 | community-based monitoring, two ways of knowing.", | 110 | community-based monitoring, two ways of knowing.", | ||
110 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 111 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
111 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 112 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
112 | "is_organization": true, | 113 | "is_organization": true, | ||
113 | "name": "ceos2", | 114 | "name": "ceos2", | ||
114 | "state": "active", | 115 | "state": "active", | ||
115 | "title": "CEOS", | 116 | "title": "CEOS", | ||
116 | "type": "organization" | 117 | "type": "organization" | ||
117 | }, | 118 | }, | ||
118 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 119 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
119 | "platformType": "mooring", | 120 | "platformType": "mooring", | ||
120 | "private": false, | 121 | "private": false, | ||
n | 121 | "relatedFiles": [ | n | 122 | "related_campaigns": "[\"04725018-4822-4d38-b87b-b0f63510c4ba\"]", |
122 | { | ||||
123 | "link": | ||||
124 | ev.uni-manitoba.links.com.au/data/instrument_details/ecotriplet-1442", | ||||
125 | "relatedFileName": "Ecotriplet 1442", | ||||
126 | "relationship": "Describes" | ||||
127 | }, | ||||
128 | { | ||||
129 | "link": | ||||
130 | ttps://dev.uni-manitoba.links.com.au/data/instrument_details/ct-1589", | ||||
131 | "relatedFileName": "CT 1589", | ||||
132 | "relationship": "Describes" | ||||
133 | } | ||||
134 | ], | ||||
135 | "related_campaigns": "[]", | 123 | "related_datasets": "[]", | ||
136 | "related_datasets": "[\"22241ebc-088b-4a4b-9111-082821f26e21\"]", | ||||
137 | "related_platforms": "[\"061d70f6-dbe0-4736-9e23-89637a9535c2\"]", | 124 | "related_platforms": "[\"061d70f6-dbe0-4736-9e23-89637a9535c2\"]", | ||
138 | "related_programs": "[\"143260eb-ca0f-46fb-a55a-0be91a7eaa33\"]", | 125 | "related_programs": "[\"143260eb-ca0f-46fb-a55a-0be91a7eaa33\"]", | ||
139 | "relationships_as_object": [], | 126 | "relationships_as_object": [], | ||
140 | "relationships_as_subject": [], | 127 | "relationships_as_subject": [], | ||
141 | "researchArea": "lake-waterhen", | 128 | "researchArea": "lake-waterhen", | ||
142 | "resources": [ | 129 | "resources": [ | ||
143 | { | 130 | { | ||
144 | "cache_last_updated": null, | 131 | "cache_last_updated": null, | ||
145 | "cache_url": null, | 132 | "cache_url": null, | ||
146 | "created": "2022-01-16T05:41:42.882521", | 133 | "created": "2022-01-16T05:41:42.882521", | ||
147 | "datastore_active": false, | 134 | "datastore_active": false, | ||
148 | "datastore_contains_all_records_of_source_file": false, | 135 | "datastore_contains_all_records_of_source_file": false, | ||
149 | "description": "", | 136 | "description": "", | ||
150 | "format": "TXT", | 137 | "format": "TXT", | ||
151 | "hash": "", | 138 | "hash": "", | ||
152 | "id": "342f52fd-9302-4598-b900-771486cf22b8", | 139 | "id": "342f52fd-9302-4598-b900-771486cf22b8", | ||
153 | "last_modified": "2022-01-16T05:44:32.163027", | 140 | "last_modified": "2022-01-16T05:44:32.163027", | ||
154 | "metadata_modified": "2022-01-16T05:44:32.244743", | 141 | "metadata_modified": "2022-01-16T05:44:32.244743", | ||
155 | "mimetype": "text/plain", | 142 | "mimetype": "text/plain", | ||
156 | "mimetype_inner": null, | 143 | "mimetype_inner": null, | ||
157 | "name": "GL_LWH_M Deployment Notes 4 August 2017", | 144 | "name": "GL_LWH_M Deployment Notes 4 August 2017", | ||
158 | "package_id": "e311c811-e54b-44db-a23f-ef79daa9ad18", | 145 | "package_id": "e311c811-e54b-44db-a23f-ef79daa9ad18", | ||
159 | "position": 0, | 146 | "position": 0, | ||
160 | "resCategory": "documents", | 147 | "resCategory": "documents", | ||
161 | "resource_type": null, | 148 | "resource_type": null, | ||
162 | "size": 369, | 149 | "size": 369, | ||
163 | "state": "active", | 150 | "state": "active", | ||
164 | "url": | 151 | "url": | ||
165 | 598-b900-771486cf22b8/download/gl_lwh_m_deploymentnotes_4aug2017.txt", | 152 | 598-b900-771486cf22b8/download/gl_lwh_m_deploymentnotes_4aug2017.txt", | ||
166 | "url_type": "upload" | 153 | "url_type": "upload" | ||
167 | } | 154 | } | ||
168 | ], | 155 | ], | ||
169 | "state": "active", | 156 | "state": "active", | ||
170 | "tags": [], | 157 | "tags": [], | ||
t | 171 | "title": "2017 GL_LWH_M Deployment", | t | 158 | "title": "Lake Waterhen Mooring 2017 Deployment", |
172 | "type": "deployment_details", | 159 | "type": "deployment_details", | ||
173 | "url": null, | 160 | "url": null, | ||
174 | "version": null | 161 | "version": null | ||
175 | } | 162 | } |