{"help": "https://canwin-datahub.ad.umanitoba.ca/data/fr/api/3/action/help_show?name=package_show", "success": true, "result": {"AlternateIdentifier": "38-533-81", "Description": "Ship-based pCO2 underway system provides CO2 mixing ratio data for near-surface water that can be used to calculate seawater CO2 partial pressure (pCO2)", "Notes": "The sensor operates through rapid diffusion of dissolved gas from water through a semi-permeable membrane to a non-dispersive infrared (NDIR) gas analyzer.  The sensor was factory calibrated (February 2020) prior to deployment on the RV William Kennedy using gas traceable to international standards at the NOAA ESRL GMD Central Calibration Laboratory. Declared accuracy is 0.01 ppm or \u00b1 0.5%. Long-term stability is achieved through an automated zeroing routine that periodically removes CO2 from the system establishing a new zero CO2 baseline value.  Seawater was continuously pumped through the system at a rate of approximately 1 L/min from a clean water intake located approximately 2 m beneath the surface aboard the RV William Kennedy. Through sensor programing the pCO2 was sampled at ~7 min increments during the 2021 James Bay expedition.", "ResourceType": "Instrument", "Subject": "", "alternateIdentifierType": "Serial number", "author": null, "author_email": null, "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", "descriptionType": "TechnicalInfo", "id": "60315438-a35e-4866-b0e4-791bc37e7995", "identifierType": "DOI", "instrumentCreatorName": "Pro-Oceanus", "instrumentType": "External", "isopen": false, "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2022-07-25T18:43:02.354559", "metadata_modified": "2022-07-25T18:44:10.030526", "modelNumber": "CO2-Pro FT", "name": "flow-through-pco2-system", "nameType": "Organizational", "notes": null, "num_resources": 0, "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", "private": false, "related_campaigns": [], "related_datasets": [], "related_deployments": [], "related_platforms": ["cb94ca4a-9700-44e0-8bc6-bc410bc5415b"], "resourceTypeGeneral": "Other", "schemeURI": "", "state": "active", "title": "Flow-through pCO2 system", "titleType": "AlternativeTitle", "type": "instrument_details", "url": null, "valueURI": "", "version": null, "sensorDetails": [{"instrumentSensorName": "CO2-Pro FT", "instrumentSensorSerialNumber": "38-533-81", "lastCalibrationDate": "2020-02-01", "sensorRange": "0 \u2013 1000 ppm", "sensorSensitivity": "Declared accuracy is 0.01 ppm or \u00b1 0.5%.", "sensorUnits": "ppm"}], "resources": [], "tags": [], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}