Changes
On March 28, 2022 at 3:07:47 PM CDT, Claire Herbert:
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Changed title to Lake Manitoba 2017 Mooring Deployment (previously 2017 GL_LMB_M Deployment)
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Changed value of field
related_platforms
to["f92d8d6c-a40d-4a61-a7ac-cceca8937791"]
in Lake Manitoba 2017 Mooring Deployment -
Changed value of field
instrumentDetails
to[{'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'}]
in Lake Manitoba 2017 Mooring Deployment -
Changed value of field
deploymentID
toGL_LMB_M_2017
in Lake Manitoba 2017 Mooring 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", | ||
5 | "dataCollector": "Herbert, Claire", | 5 | "dataCollector": "Herbert, Claire", | ||
n | 6 | "deploymentID": "GL_LMB_M_2017_1", | n | 6 | "deploymentID": "GL_LMB_M_2017", |
7 | "deployment_date": [ | 7 | "deployment_date": [ | ||
8 | { | 8 | { | ||
9 | "activity": "Deployed and Retrieved", | 9 | "activity": "Deployed and Retrieved", | ||
10 | "deploymentEndDate": "2017-10-12", | 10 | "deploymentEndDate": "2017-10-12", | ||
11 | "deploymentStartDate": "2017-05-20" | 11 | "deploymentStartDate": "2017-05-20" | ||
12 | }, | 12 | }, | ||
13 | { | 13 | { | ||
14 | "activity": "Retrieved to download data,re-deployed", | 14 | "activity": "Retrieved to download data,re-deployed", | ||
15 | "deploymentEndDate": "2017-08-05", | 15 | "deploymentEndDate": "2017-08-05", | ||
16 | "deploymentStartDate": "2017-08-05" | 16 | "deploymentStartDate": "2017-08-05" | ||
17 | } | 17 | } | ||
18 | ], | 18 | ], | ||
19 | "groups": [], | 19 | "groups": [], | ||
20 | "id": "c7a782e0-61f8-4524-b942-0f79bd3d6a83", | 20 | "id": "c7a782e0-61f8-4524-b942-0f79bd3d6a83", | ||
21 | "instrumentDetails": [ | 21 | "instrumentDetails": [ | ||
22 | { | 22 | { | ||
23 | "description": "A three-optical-sensor, user-defined instrument | 23 | "description": "A three-optical-sensor, user-defined instrument | ||
24 | that may carry any combination of single-wavelength fluorometers or | 24 | that may carry any combination of single-wavelength fluorometers or | ||
25 | scattering meters. The fluorometers can be configured (with typical | 25 | scattering meters. The fluorometers can be configured (with typical | ||
26 | sensitivities) for chlorophyll (470/695 nm, sensitivity 0.015-0.025 | 26 | sensitivities) for chlorophyll (470/695 nm, sensitivity 0.015-0.025 | ||
27 | ug/l), FDOM (370/460 nm, sensitivity 0.184 ppb), phycocyanin (630/680 | 27 | ug/l), FDOM (370/460 nm, sensitivity 0.184 ppb), phycocyanin (630/680 | ||
28 | nm, 0.086 ppb), phycoerythrin (520/595 nm, sensitivity 0.086 ppb), | 28 | nm, 0.086 ppb), phycoerythrin (520/595 nm, sensitivity 0.086 ppb), | ||
29 | uranine (470/530 nm, sensitivity 0.073 ppb) or rhodamine (520/595 nm, | 29 | uranine (470/530 nm, sensitivity 0.073 ppb) or rhodamine (520/595 nm, | ||
30 | 0.086 ppb). The scattering meter can typically measure optical | 30 | 0.086 ppb). The scattering meter can typically measure optical | ||
31 | scattering at blue, green or red wavelengths (412, 470, 532, 650, 700 | 31 | scattering at blue, green or red wavelengths (412, 470, 532, 650, 700 | ||
32 | and 880 nm, sensitivity 0.002-0.003 m-1).", | 32 | and 880 nm, sensitivity 0.002-0.003 m-1).", | ||
33 | "instrumentID": "BBFL2WB1437", | 33 | "instrumentID": "BBFL2WB1437", | ||
34 | "instrumentIdentifierType": "DOI", | 34 | "instrumentIdentifierType": "DOI", | ||
35 | "instrumentName": "Ecotriplet 1437", | 35 | "instrumentName": "Ecotriplet 1437", | ||
36 | "standardizedInstrumentName": "WETLabs ECO Triplet sensor" | 36 | "standardizedInstrumentName": "WETLabs ECO Triplet sensor" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "description": "ACT-HR Compact-CT Conductivity and Temperature | 39 | "description": "ACT-HR Compact-CT Conductivity and Temperature | ||
40 | sensor used on Manitoba Great Lakes Moorings", | 40 | sensor used on Manitoba Great Lakes Moorings", | ||
41 | "instrumentID": "1578", | 41 | "instrumentID": "1578", | ||
42 | "instrumentIdentifierType": "DOI", | 42 | "instrumentIdentifierType": "DOI", | ||
43 | "instrumentName": "CT 1578", | 43 | "instrumentName": "CT 1578", | ||
n | 44 | "standardizedInstrumentName": "" | n | 44 | "standardizedInstrumentName": "Alec CT (conductivity, |
45 | temperature) sampler" | ||||
45 | } | 46 | } | ||
46 | ], | 47 | ], | ||
47 | "isopen": false, | 48 | "isopen": false, | ||
48 | "license_id": null, | 49 | "license_id": null, | ||
49 | "license_title": null, | 50 | "license_title": null, | ||
50 | "locationOrStationID": "GL_LMB_M", | 51 | "locationOrStationID": "GL_LMB_M", | ||
51 | "maintainer": null, | 52 | "maintainer": null, | ||
52 | "maintainer_email": null, | 53 | "maintainer_email": null, | ||
53 | "metadata_created": "2022-01-16T19:06:52.700440", | 54 | "metadata_created": "2022-01-16T19:06:52.700440", | ||
n | 54 | "metadata_modified": "2022-03-28T19:06:43.456794", | n | 55 | "metadata_modified": "2022-03-28T20:07:46.922124", |
55 | "name": "2017-gl_lmb_m-deployment", | 56 | "name": "2017-gl_lmb_m-deployment", | ||
56 | "notes": null, | 57 | "notes": null, | ||
57 | "num_resources": 1, | 58 | "num_resources": 1, | ||
58 | "num_tags": 0, | 59 | "num_tags": 0, | ||
59 | "organization": { | 60 | "organization": { | ||
60 | "approval_status": "approved", | 61 | "approval_status": "approved", | ||
61 | "created": "2017-07-21T13:15:49.935872", | 62 | "created": "2017-07-21T13:15:49.935872", | ||
62 | "description": "The Centre for Earth Observation Science (CEOS) | 63 | "description": "The Centre for Earth Observation Science (CEOS) | ||
63 | was established in 1994 with a mandate to research, preserve and | 64 | was established in 1994 with a mandate to research, preserve and | ||
64 | communicate knowledge of Earth system processes using the technologies | 65 | communicate knowledge of Earth system processes using the technologies | ||
65 | of Earth Observation Science. Research is multidisciplinary and | 66 | of Earth Observation Science. Research is multidisciplinary and | ||
66 | collaborative seeking to understand the complex interrelationships | 67 | collaborative seeking to understand the complex interrelationships | ||
67 | between elements of Earth systems, and how these systems will likely | 68 | between elements of Earth systems, and how these systems will likely | ||
68 | respond to climate change. Although researchers have worked in many | 69 | respond to climate change. Although researchers have worked in many | ||
69 | regions, the Arctic marine system has always been a unifying focus of | 70 | regions, the Arctic marine system has always been a unifying focus of | ||
70 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 71 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
71 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 72 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
72 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 73 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
73 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 74 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
74 | existing research activity are divided among key themes:\r\n\r\nArctic | 75 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
75 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 76 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
76 | preservation, archaeo-geophysics, permafrost degredation, lithic | 77 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
77 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 78 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
78 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 79 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
79 | ethnographic analogy, traditional knowledge, climate change and | 80 | ethnographic analogy, traditional knowledge, climate change and | ||
80 | northern heritage resource management.\r\n\r\nAtmospheric | 81 | northern heritage resource management.\r\n\r\nAtmospheric | ||
81 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 82 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
82 | extreme weather, circulation, eddy correlations, polar vortex, | 83 | extreme weather, circulation, eddy correlations, polar vortex, | ||
83 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 84 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
84 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 85 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
85 | albedo feedback, cloud radiative forcing, pCO2. | 86 | albedo feedback, cloud radiative forcing, pCO2. | ||
86 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 87 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
87 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 88 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
88 | metals, minerals, hydrocarbons, brine processes, otolith | 89 | metals, minerals, hydrocarbons, brine processes, otolith | ||
89 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 90 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
90 | trace metals, PAHs, source, transport, transformation, pathways, | 91 | trace metals, PAHs, source, transport, transformation, pathways, | ||
91 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 92 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
92 | Observation Science: Active and passive microwave, LiDAR, EM | 93 | Observation Science: Active and passive microwave, LiDAR, EM | ||
93 | induction, spatial-temporal analysis, forward and inverse scattering | 94 | induction, spatial-temporal analysis, forward and inverse scattering | ||
94 | models, complex permittivity, ocean colour, ocean surface roughness, | 95 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
95 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 96 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
96 | Biophysical processes, primary production; ice algae, ice | 97 | Biophysical processes, primary production; ice algae, ice | ||
97 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 98 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
98 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 99 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
99 | transport, nutrient transport, contaminants, landscape processes, | 100 | transport, nutrient transport, contaminants, landscape processes, | ||
100 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 101 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
101 | whales, habitat, conservation, satellite telemetry, distribution, | 102 | whales, habitat, conservation, satellite telemetry, distribution, | ||
102 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 103 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
103 | Simulation of sea ice and oceanic regional processes, Nucleus for | 104 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
104 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 105 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
105 | interactions, hind cast simulations and projections for sea ice state | 106 | interactions, hind cast simulations and projections for sea ice state | ||
106 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 107 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
107 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 108 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
108 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 109 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
109 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 110 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
110 | processes, extreme ice features and hazards, snow, ridges, | 111 | processes, extreme ice features and hazards, snow, ridges, | ||
111 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 112 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
112 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 113 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
113 | hunting, food security, sea ice use, community-based research, | 114 | hunting, food security, sea ice use, community-based research, | ||
114 | community-based monitoring, two ways of knowing.", | 115 | community-based monitoring, two ways of knowing.", | ||
115 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 116 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
116 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 117 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
117 | "is_organization": true, | 118 | "is_organization": true, | ||
118 | "name": "ceos2", | 119 | "name": "ceos2", | ||
119 | "state": "active", | 120 | "state": "active", | ||
120 | "title": "CEOS", | 121 | "title": "CEOS", | ||
121 | "type": "organization" | 122 | "type": "organization" | ||
122 | }, | 123 | }, | ||
123 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 124 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
124 | "platformType": "mooring", | 125 | "platformType": "mooring", | ||
125 | "private": false, | 126 | "private": false, | ||
n | 126 | "relatedFiles": [ | n | ||
127 | { | ||||
128 | "link": | ||||
129 | "https://canwin-datahub.ad.umanitoba.ca/data/dataset/ecotriplet-1437", | ||||
130 | "relatedFileName": "Instrument Details, Ecotriplet 1437", | ||||
131 | "relationship": "IsReferencedBy" | ||||
132 | } | ||||
133 | ], | ||||
134 | "related_campaigns": "[]", | 127 | "related_campaigns": "[]", | ||
135 | "related_datasets": "[]", | 128 | "related_datasets": "[]", | ||
n | 136 | "related_platforms": "[]", | n | 129 | "related_platforms": "[\"f92d8d6c-a40d-4a61-a7ac-cceca8937791\"]", |
137 | "related_programs": "[\"143260eb-ca0f-46fb-a55a-0be91a7eaa33\"]", | 130 | "related_programs": "[\"143260eb-ca0f-46fb-a55a-0be91a7eaa33\"]", | ||
138 | "relationships_as_object": [], | 131 | "relationships_as_object": [], | ||
139 | "relationships_as_subject": [], | 132 | "relationships_as_subject": [], | ||
140 | "researchArea": "manitoba-great-lakes", | 133 | "researchArea": "manitoba-great-lakes", | ||
141 | "resources": [ | 134 | "resources": [ | ||
142 | { | 135 | { | ||
143 | "cache_last_updated": null, | 136 | "cache_last_updated": null, | ||
144 | "cache_url": null, | 137 | "cache_url": null, | ||
145 | "created": "2022-01-16T19:13:43.731905", | 138 | "created": "2022-01-16T19:13:43.731905", | ||
146 | "datastore_active": false, | 139 | "datastore_active": false, | ||
147 | "datastore_contains_all_records_of_source_file": false, | 140 | "datastore_contains_all_records_of_source_file": false, | ||
148 | "description": "Notes regarding the 2017 deployments of the Lake | 141 | "description": "Notes regarding the 2017 deployments of the Lake | ||
149 | Manitoba mooring", | 142 | Manitoba mooring", | ||
150 | "format": "TXT", | 143 | "format": "TXT", | ||
151 | "hash": "", | 144 | "hash": "", | ||
152 | "id": "fe47d080-9538-44d4-b0e7-4f3ca32964d2", | 145 | "id": "fe47d080-9538-44d4-b0e7-4f3ca32964d2", | ||
153 | "last_modified": "2022-01-16T19:13:43.557378", | 146 | "last_modified": "2022-01-16T19:13:43.557378", | ||
154 | "metadata_modified": "2022-01-16T19:13:43.718141", | 147 | "metadata_modified": "2022-01-16T19:13:43.718141", | ||
155 | "mimetype": "text/plain", | 148 | "mimetype": "text/plain", | ||
156 | "mimetype_inner": null, | 149 | "mimetype_inner": null, | ||
157 | "name": "GL_LMB_M Deployment notes", | 150 | "name": "GL_LMB_M Deployment notes", | ||
158 | "package_id": "c7a782e0-61f8-4524-b942-0f79bd3d6a83", | 151 | "package_id": "c7a782e0-61f8-4524-b942-0f79bd3d6a83", | ||
159 | "position": 0, | 152 | "position": 0, | ||
160 | "resCategory": "documents", | 153 | "resCategory": "documents", | ||
161 | "resource_type": null, | 154 | "resource_type": null, | ||
162 | "size": 221, | 155 | "size": 221, | ||
163 | "state": "active", | 156 | "state": "active", | ||
164 | "url": | 157 | "url": | ||
165 | 80-9538-44d4-b0e7-4f3ca32964d2/download/gl_lmb_m_deploymentnotes.txt", | 158 | 80-9538-44d4-b0e7-4f3ca32964d2/download/gl_lmb_m_deploymentnotes.txt", | ||
166 | "url_type": "upload" | 159 | "url_type": "upload" | ||
167 | } | 160 | } | ||
168 | ], | 161 | ], | ||
169 | "state": "active", | 162 | "state": "active", | ||
170 | "tags": [], | 163 | "tags": [], | ||
t | 171 | "title": "2017 GL_LMB_M Deployment", | t | 164 | "title": "Lake Manitoba 2017 Mooring Deployment", |
172 | "type": "deployment_details", | 165 | "type": "deployment_details", | ||
173 | "url": null, | 166 | "url": null, | ||
174 | "version": null | 167 | "version": null | ||
175 | } | 168 | } |