{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"Identifier": "10.5203/SYY5-5S60", "PublicationYear": "2022", "Publisher": "Centre for Earth Observation Science", "ResourceType": "QA/QC Report", "Rights": "Creative Commons Attribution 4.0 International", "Version": "1.0", "author": null, "author_email": null, "citation": "", "creator_user_id": "be605180-ed43-4028-a29f-31a3bcd40cd6", "descriptionType": "Abstract", "id": "6c4a27d1-c39b-4b40-841f-4e9acfd047af", "isopen": false, "language": "English", "licenceType": "Open", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2022-04-13T14:41:36.268628", "metadata_modified": "2023-01-04T20:11:15.166807", "name": "avos-namao-script", "notes": "The following documents are provided to assist data users in understanding how AVOS 10-minute rate data was processed and/or created by CanWIN data curators. Details may include descriptions of the variables used and any quality checks/controls or standardization applied.\r\n\r\n1. Script: code used to process the data.\r\n2. Cookbook: a document describing the general steps used to process the data and a description of the dataset variables.\r\n3. Codebook: a document containing detailed instructions about any scripts used to process the data as well as step by step instructions describing the different levels of data processing that were applied", "num_resources": 3, "num_tags": 7, "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_datasets": ["97d3b480-a9a8-47b5-b761-6105e86950d2"], "related_programs": ["0145edb6-1e32-4ece-97e9-406f6d48874a"], "rightsIdentifier": "CC-BY-4.0", "rightsIdentifierScheme": "SPDX", "rightsSchemeURI": "https://spdx.org/licenses", "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", "schemeURI": "https://www.polardata.ca/pdcinput/public/keywordlibrary", "state": "active", "subjectScheme": "Polar Data Catalogue", "theme": ["d5c57e39-a747-4085-ba9c-3cfb44f9d5ef", "8f8cd877-b037-4b1a-b928-f86d9e093741"], "title": "AVOS M/V NAMAO Data Processing", "type": "publication", "url": null, "version": null, "Author": [{"affiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorName": "Canadian Watershed Information Network", "email": "portalco@umanitoba.ca", "nameIdentifier": "", "nameType": "Organizational"}], "groups": [{"description": "Processes and phenomena of the atmosphere \u2013 or \u2018weather and climate\u2019. Examples of data you can find here include weather, atmospheric conditions, climate change info. \r\n\r\nIn CEOS, related research themes include atmospheric science and meteorology.", "display_name": "Atmosphere", "id": "d5c57e39-a747-4085-ba9c-3cfb44f9d5ef", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2021-10-31-211610.563086acinspireatmscond.svg", "name": "modelling", "title": "Atmosphere"}, {"description": "Inland water features, drainage systems and their characteristics. Examples of data you can find here include river and lake data, water quality data. \r\n\r\nIn CEOS, related research themes include biogeochemistry, Inland lakes and waters, modelling, remote sensing and technology, trace metals and contaminants.", "display_name": "Freshwater", "id": "8f8cd877-b037-4b1a-b928-f86d9e093741", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg", "name": "freshwater", "title": "Freshwater"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2022-04-13T14:44:49.003449", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "This cookbook provides users with information on the script process for converting raw AVOS data extracting from the M/V NAMAO.", "format": "PDF", "hash": "", "id": "871d338d-ef3b-4e7c-81ef-534572c3b9e0", "last_modified": "2022-05-17T16:00:29.414574", "metadata_modified": "2022-05-17T16:00:29.438882", "mimetype": "application/pdf", "mimetype_inner": null, "name": "AVOS M/V NAMAO Cookbook", "package_id": "6c4a27d1-c39b-4b40-841f-4e9acfd047af", "position": 0, "resCategory": "supplemental", "resource_type": null, "size": 146767, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/6c4a27d1-c39b-4b40-841f-4e9acfd047af/resource/871d338d-ef3b-4e7c-81ef-534572c3b9e0/download/avos-cookbook.pdf", "url_type": "upload"}, {"cache_last_updated": null, "cache_url": null, "created": "2022-04-13T14:47:07.244329", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "This codebook goes into detail of the code used to convert raw AVOS data extracting from the M/V NAMAO.", "format": "PDF", "hash": "", "id": "9a2f3aa1-7f55-4520-9a9d-e5371045dd6b", "last_modified": "2022-05-17T15:59:41.398581", "metadata_modified": "2022-05-17T16:00:29.438996", "mimetype": "application/pdf", "mimetype_inner": null, "name": "AVOS M/V NAMAO Codebook", "package_id": "6c4a27d1-c39b-4b40-841f-4e9acfd047af", "position": 1, "resCategory": "supplemental", "resource_type": null, "size": 102371, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/6c4a27d1-c39b-4b40-841f-4e9acfd047af/resource/9a2f3aa1-7f55-4520-9a9d-e5371045dd6b/download/avos-codebook.pdf", "url_type": "upload"}, {"cache_last_updated": null, "cache_url": null, "created": "2022-04-13T14:52:37.765802", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Script to convert raw AVOS files (.AVMTD) to comma-separated values (.csv) with CF/BODC standardardized variable names.", "format": "R", "hash": "", "id": "e2093774-1e54-48de-8abd-ce4ee3b41ca7", "last_modified": "2022-04-13T14:52:37.716367", "metadata_modified": "2022-04-13T14:52:38.056522", "mimetype": null, "mimetype_inner": null, "name": "AVOS parse v1.3", "package_id": "6c4a27d1-c39b-4b40-841f-4e9acfd047af", "position": 2, "resCategory": "scripts", "resource_type": null, "size": 8164, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/6c4a27d1-c39b-4b40-841f-4e9acfd047af/resource/e2093774-1e54-48de-8abd-ce4ee3b41ca7/download/avos_parse_v1.3.r", "url_type": "upload"}], "tags": [{"display_name": "Air temperature", "id": "8eaf4036-3be1-4b98-a54e-f7470e1b16f7", "name": "Air temperature", "state": "active", "vocabulary_id": null}, {"display_name": "Geospatial data", "id": "61097c99-5a2d-478a-84be-285a94d91996", "name": "Geospatial data", "state": "active", "vocabulary_id": null}, {"display_name": "METEOROLOGICAL STATIONS", "id": "4540b648-7034-466d-a2b6-4388c7cdbc72", "name": "METEOROLOGICAL STATIONS", "state": "active", "vocabulary_id": null}, {"display_name": "Meteorological", "id": "e99f5704-e346-4ffa-bcc6-ecabf97292e2", "name": "Meteorological", "state": "active", "vocabulary_id": null}, {"display_name": "Water temperature", "id": "c43b7f4f-0e5a-44f7-9d93-684de2c7fc79", "name": "Water temperature", "state": "active", "vocabulary_id": null}, {"display_name": "Wind direction", "id": "bce302bb-5577-44ab-bc91-b11547e422f8", "name": "Wind direction", "state": "active", "vocabulary_id": null}, {"display_name": "Wind speed", "id": "61d0c0c5-7a42-46e9-b26b-1d0a90b4c49a", "name": "Wind speed", "state": "active", "vocabulary_id": null}], "relationships_as_subject": [], "relationships_as_object": []}}