Changes
On April 3, 2022 at 12:24:14 PM CDT, Claire Herbert:
-
Added resource Ecotriplet Dev file April 27, 2016 to Ecotriplet 1440
f | 1 | { | f | 1 | { |
2 | "AlternateIdentifier": "BBFL2WB-1440", | 2 | "AlternateIdentifier": "BBFL2WB-1440", | ||
3 | "Description": "An ecotriplet is a three-optical-sensor,instrument | 3 | "Description": "An ecotriplet is a three-optical-sensor,instrument | ||
4 | that may carry any combination of single-wavelength fluorometers or | 4 | that may carry any combination of single-wavelength fluorometers or | ||
5 | scattering meters. The MBL ecotriplets are deployed on static moorings | 5 | scattering meters. The MBL ecotriplets are deployed on static moorings | ||
6 | placed in the MBGL study lakes.\r\n\r\nThe fluorometers can be | 6 | placed in the MBGL study lakes.\r\n\r\nThe fluorometers can be | ||
7 | configured (with typical sensitivities) for chlorophyll (470/695 nm, | 7 | configured (with typical sensitivities) for chlorophyll (470/695 nm, | ||
8 | sensitivity 0.015-0.025 ug/l), FDOM (370/460 nm, sensitivity 0.184 | 8 | sensitivity 0.015-0.025 ug/l), FDOM (370/460 nm, sensitivity 0.184 | ||
9 | ppb), phycocyanin (630/680 nm, 0.086 ppb), phycoerythrin (520/595 nm, | 9 | ppb), phycocyanin (630/680 nm, 0.086 ppb), phycoerythrin (520/595 nm, | ||
10 | sensitivity 0.086 ppb), The scattering meter can typically measure | 10 | sensitivity 0.086 ppb), The scattering meter can typically measure | ||
11 | optical scattering at blue, green or red wavelengths (412, 470, 532, | 11 | optical scattering at blue, green or red wavelengths (412, 470, 532, | ||
12 | 650, 700 and 880 nm, sensitivity 0.002-0.003 m-1).", | 12 | 650, 700 and 880 nm, sensitivity 0.002-0.003 m-1).", | ||
13 | "Notes": "", | 13 | "Notes": "", | ||
14 | "ResourceType": "Instrument", | 14 | "ResourceType": "Instrument", | ||
15 | "Subject": "WETLabs ECO Triplet sensor", | 15 | "Subject": "WETLabs ECO Triplet sensor", | ||
16 | "alternateIdentifierType": "Serial number", | 16 | "alternateIdentifierType": "Serial number", | ||
17 | "author": null, | 17 | "author": null, | ||
18 | "author_email": null, | 18 | "author_email": null, | ||
19 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | 19 | "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", | ||
20 | "descriptionType": "TechnicalInfo", | 20 | "descriptionType": "TechnicalInfo", | ||
21 | "groups": [], | 21 | "groups": [], | ||
22 | "id": "96757fdb-9840-4373-aea1-50334f060ec7", | 22 | "id": "96757fdb-9840-4373-aea1-50334f060ec7", | ||
23 | "identifierType": "DOI", | 23 | "identifierType": "DOI", | ||
24 | "instrumentCreatorName": "Wetlabs", | 24 | "instrumentCreatorName": "Wetlabs", | ||
25 | "instrumentType": "Baseline", | 25 | "instrumentType": "Baseline", | ||
26 | "isopen": false, | 26 | "isopen": false, | ||
27 | "license_id": null, | 27 | "license_id": null, | ||
28 | "license_title": null, | 28 | "license_title": null, | ||
29 | "maintainer": null, | 29 | "maintainer": null, | ||
30 | "maintainer_email": null, | 30 | "maintainer_email": null, | ||
31 | "metadata_created": "2022-04-03T17:20:57.792480", | 31 | "metadata_created": "2022-04-03T17:20:57.792480", | ||
n | 32 | "metadata_modified": "2022-04-03T17:20:57.792485", | n | 32 | "metadata_modified": "2022-04-03T17:24:13.930685", |
33 | "modelNumber": "1440", | 33 | "modelNumber": "1440", | ||
34 | "name": "ecotriplet-1440", | 34 | "name": "ecotriplet-1440", | ||
35 | "nameType": "Organizational", | 35 | "nameType": "Organizational", | ||
36 | "notes": null, | 36 | "notes": null, | ||
n | 37 | "num_resources": 0, | n | 37 | "num_resources": 1, |
38 | "num_tags": 0, | 38 | "num_tags": 0, | ||
39 | "organization": { | 39 | "organization": { | ||
40 | "approval_status": "approved", | 40 | "approval_status": "approved", | ||
41 | "created": "2017-07-21T13:15:49.935872", | 41 | "created": "2017-07-21T13:15:49.935872", | ||
42 | "description": "The Centre for Earth Observation Science (CEOS) | 42 | "description": "The Centre for Earth Observation Science (CEOS) | ||
43 | was established in 1994 with a mandate to research, preserve and | 43 | was established in 1994 with a mandate to research, preserve and | ||
44 | communicate knowledge of Earth system processes using the technologies | 44 | communicate knowledge of Earth system processes using the technologies | ||
45 | of Earth Observation Science. Research is multidisciplinary and | 45 | of Earth Observation Science. Research is multidisciplinary and | ||
46 | collaborative seeking to understand the complex interrelationships | 46 | collaborative seeking to understand the complex interrelationships | ||
47 | between elements of Earth systems, and how these systems will likely | 47 | between elements of Earth systems, and how these systems will likely | ||
48 | respond to climate change. Although researchers have worked in many | 48 | respond to climate change. Although researchers have worked in many | ||
49 | regions, the Arctic marine system has always been a unifying focus of | 49 | regions, the Arctic marine system has always been a unifying focus of | ||
50 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 50 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
51 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 51 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
52 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 52 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
53 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 53 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
54 | existing research activity are divided among key themes:\r\n\r\nArctic | 54 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
55 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 55 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
56 | preservation, archaeo-geophysics, permafrost degredation, lithic | 56 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
57 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 57 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
58 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 58 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
59 | ethnographic analogy, traditional knowledge, climate change and | 59 | ethnographic analogy, traditional knowledge, climate change and | ||
60 | northern heritage resource management.\r\n\r\nAtmospheric | 60 | northern heritage resource management.\r\n\r\nAtmospheric | ||
61 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 61 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
62 | extreme weather, circulation, eddy correlations, polar vortex, | 62 | extreme weather, circulation, eddy correlations, polar vortex, | ||
63 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 63 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
64 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 64 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
65 | albedo feedback, cloud radiative forcing, pCO2. | 65 | albedo feedback, cloud radiative forcing, pCO2. | ||
66 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 66 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
67 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 67 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
68 | metals, minerals, hydrocarbons, brine processes, otolith | 68 | metals, minerals, hydrocarbons, brine processes, otolith | ||
69 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 69 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
70 | trace metals, PAHs, source, transport, transformation, pathways, | 70 | trace metals, PAHs, source, transport, transformation, pathways, | ||
71 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 71 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
72 | Observation Science: Active and passive microwave, LiDAR, EM | 72 | Observation Science: Active and passive microwave, LiDAR, EM | ||
73 | induction, spatial-temporal analysis, forward and inverse scattering | 73 | induction, spatial-temporal analysis, forward and inverse scattering | ||
74 | models, complex permittivity, ocean colour, ocean surface roughness, | 74 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
75 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 75 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
76 | Biophysical processes, primary production; ice algae, ice | 76 | Biophysical processes, primary production; ice algae, ice | ||
77 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 77 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
78 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 78 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
79 | transport, nutrient transport, contaminants, landscape processes, | 79 | transport, nutrient transport, contaminants, landscape processes, | ||
80 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 80 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
81 | whales, habitat, conservation, satellite telemetry, distribution, | 81 | whales, habitat, conservation, satellite telemetry, distribution, | ||
82 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 82 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
83 | Simulation of sea ice and oceanic regional processes, Nucleus for | 83 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
84 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 84 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
85 | interactions, hind cast simulations and projections for sea ice state | 85 | interactions, hind cast simulations and projections for sea ice state | ||
86 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 86 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
87 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 87 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
88 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 88 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
89 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 89 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
90 | processes, extreme ice features and hazards, snow, ridges, | 90 | processes, extreme ice features and hazards, snow, ridges, | ||
91 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 91 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
92 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 92 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
93 | hunting, food security, sea ice use, community-based research, | 93 | hunting, food security, sea ice use, community-based research, | ||
94 | community-based monitoring, two ways of knowing.", | 94 | community-based monitoring, two ways of knowing.", | ||
95 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 95 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
96 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 96 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
97 | "is_organization": true, | 97 | "is_organization": true, | ||
98 | "name": "ceos2", | 98 | "name": "ceos2", | ||
99 | "state": "active", | 99 | "state": "active", | ||
100 | "title": "CEOS", | 100 | "title": "CEOS", | ||
101 | "type": "organization" | 101 | "type": "organization" | ||
102 | }, | 102 | }, | ||
103 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 103 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
104 | "private": false, | 104 | "private": false, | ||
105 | "related_campaigns": "[\"a9cc3947-2764-4a18-87ec-5f4466eb084d\"]", | 105 | "related_campaigns": "[\"a9cc3947-2764-4a18-87ec-5f4466eb084d\"]", | ||
106 | "related_datasets": "[]", | 106 | "related_datasets": "[]", | ||
107 | "related_platforms": "[\"061d70f6-dbe0-4736-9e23-89637a9535c2\"]", | 107 | "related_platforms": "[\"061d70f6-dbe0-4736-9e23-89637a9535c2\"]", | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
110 | "resourceTypeGeneral": "Other", | 110 | "resourceTypeGeneral": "Other", | ||
t | 111 | "resources": [], | t | 111 | "resources": [ |
112 | { | ||||
113 | "cache_last_updated": null, | ||||
114 | "cache_url": null, | ||||
115 | "created": "2022-04-03T17:24:13.936652", | ||||
116 | "datastore_active": false, | ||||
117 | "datastore_contains_all_records_of_source_file": false, | ||||
118 | "description": "Dev file is rquired for conversion of dta from | ||||
119 | ecotriplets. This file was created from the April 27, 2016 calibration | ||||
120 | and provided by Wetlabs.", | ||||
121 | "format": "", | ||||
122 | "hash": "", | ||||
123 | "id": "0c5cb09d-9f43-40ad-a614-de15031573bd", | ||||
124 | "last_modified": "2022-04-03T17:24:13.915331", | ||||
125 | "metadata_modified": "2022-04-03T17:24:13.933750", | ||||
126 | "mimetype": null, | ||||
127 | "mimetype_inner": null, | ||||
128 | "name": "Ecotriplet Dev file April 27, 2016", | ||||
129 | "package_id": "96757fdb-9840-4373-aea1-50334f060ec7", | ||||
130 | "position": 0, | ||||
131 | "resCategory": "scripts", | ||||
132 | "resource_type": null, | ||||
133 | "size": 190, | ||||
134 | "state": "active", | ||||
135 | "url": | ||||
136 | ource/0c5cb09d-9f43-40ad-a614-de15031573bd/download/bbfl2wb-1440.dev", | ||||
137 | "url_type": "upload" | ||||
138 | } | ||||
139 | ], | ||||
112 | "schemeURI": | 140 | "schemeURI": | ||
113 | "http://vocab.nerc.ac.uk/collection/L22/current/TOOL0674/2/", | 141 | "http://vocab.nerc.ac.uk/collection/L22/current/TOOL0674/2/", | ||
114 | "sensorDetails": [ | 142 | "sensorDetails": [ | ||
115 | { | 143 | { | ||
116 | "instrumentSensorName": "ECO Phycocyanin (PC) Fluorometer", | 144 | "instrumentSensorName": "ECO Phycocyanin (PC) Fluorometer", | ||
117 | "instrumentSensorSerialNumber": "BBFL2WB-1440", | 145 | "instrumentSensorSerialNumber": "BBFL2WB-1440", | ||
118 | "lastCalibrationDate": "2021-03-05", | 146 | "lastCalibrationDate": "2021-03-05", | ||
119 | "sensorRange": "0-175", | 147 | "sensorRange": "0-175", | ||
120 | "sensorSensitivity": "0.086", | 148 | "sensorSensitivity": "0.086", | ||
121 | "sensorUnits": "ppb" | 149 | "sensorUnits": "ppb" | ||
122 | }, | 150 | }, | ||
123 | { | 151 | { | ||
124 | "instrumentSensorName": "ECO Chlorophyll (Chl) Flurometer", | 152 | "instrumentSensorName": "ECO Chlorophyll (Chl) Flurometer", | ||
125 | "instrumentSensorSerialNumber": "BBFL2WB-1440", | 153 | "instrumentSensorSerialNumber": "BBFL2WB-1440", | ||
126 | "lastCalibrationDate": "2021-03-05", | 154 | "lastCalibrationDate": "2021-03-05", | ||
127 | "sensorRange": "0-30; 0-50", | 155 | "sensorRange": "0-30; 0-50", | ||
128 | "sensorSensitivity": "0.015; 0.025", | 156 | "sensorSensitivity": "0.015; 0.025", | ||
129 | "sensorUnits": "ug/l" | 157 | "sensorUnits": "ug/l" | ||
130 | }, | 158 | }, | ||
131 | { | 159 | { | ||
132 | "instrumentSensorName": "Scattering Meter", | 160 | "instrumentSensorName": "Scattering Meter", | ||
133 | "instrumentSensorSerialNumber": "BBFL2WB-1440", | 161 | "instrumentSensorSerialNumber": "BBFL2WB-1440", | ||
134 | "lastCalibrationDate": "2021-03-05", | 162 | "lastCalibrationDate": "2021-03-05", | ||
135 | "sensorRange": "0-5; 0-3; 0-5", | 163 | "sensorRange": "0-5; 0-3; 0-5", | ||
136 | "sensorSensitivity": "0.003; 0.002", | 164 | "sensorSensitivity": "0.003; 0.002", | ||
137 | "sensorUnits": "m-1" | 165 | "sensorUnits": "m-1" | ||
138 | } | 166 | } | ||
139 | ], | 167 | ], | ||
140 | "state": "draft", | 168 | "state": "draft", | ||
141 | "tags": [], | 169 | "tags": [], | ||
142 | "title": "Ecotriplet 1440", | 170 | "title": "Ecotriplet 1440", | ||
143 | "titleType": "AlternativeTitle", | 171 | "titleType": "AlternativeTitle", | ||
144 | "type": "instrument_details", | 172 | "type": "instrument_details", | ||
145 | "url": null, | 173 | "url": null, | ||
146 | "valueURI": "SDN:L22::TOOL0674", | 174 | "valueURI": "SDN:L22::TOOL0674", | ||
147 | "version": null | 175 | "version": null | ||
148 | } | 176 | } |