{"help": "https://canwin-datahub.ad.umanitoba.ca/data/fr/api/3/action/help_show?name=package_show", "success": true, "result": {"Creator": "Creator", "Date": "2020-02-02", "IdentifierType": "DOI", "PublicationYear": "2026", "Publisher": "CanWIN", "RelatedIdentifierType": "URL", "RelationType": "IsSupplementTo", "ResourceType": "Algal Analysis", "Rights": "Creative Commons Attribution-ShareAlike 4.0 International", "Version": "1.0", "accessTerms": "CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset. \r\nBy using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available.", "activityCollectionType": "", "author": null, "author_email": null, "campaignEndDate": "", "campaignStartDate": "", "contributorName": "Mundy, C. J.", "contributorType": "DataCurator", "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43", "dataCuratorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "dataCuratorEmail": "cj.mundy@umanitoba.ca", "datasetCitation": "", "datasetIdentifier": "10.5203/vvtz-x259", "datasetLevel": "0", "datasetPublisher": "CanWIN", "dateType": "Updated", "descriptionType": "Abstract", "embargoDate": "", "endDate": "2017-05-12", "endDateType": "Other", "frequency": "Not planned", "id": "a4bb65b0-f3a5-46e9-8b7a-dbe6b9205d1b", "isopen": false, "kvSchemeURI": "https://www.polardata.ca/pdcinput/public/keywordlibrary", "licenceShemeURI": "https://spdx.org/licenses", "licenceType": "Open", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2022-03-01T19:21:36.740034", "metadata_modified": "2026-02-24T00:04:36.765913", "methodCitation": "", "name": "ftir-taxa", "notes": "A recent study demonstrated that a tidal strait, where a shoaled and constricted waterway increases tidally driven sub-ice currents and turbulence, represent ice algal production hotspots due to a hypothesized enhanced ocean-ice nutrient supply. Based on these findings, we sampled the bottom-ice algal community across the same tidal strait between the Finlayson Islands within Dease Strait, Nunavut, Canada in spring 2017. Our objective was to examine sea ice diatom cellular responses to two expected nutrient supply gradients in their natural environment: (1) a spatial gradient across the tidal strait and (2) a vertical gradient up into the bottom-ice matrix. Two diatom taxa, Nitzschia frigida and Attheya spp. within the bottom-ice sections (0-2, 2-5, and 5-10 cm) under thin snow cover (<5 cm) were selected for Fourier Transform Infrared (FTIR) spectrochemical analysis for lipid and protein content. Results from the FTIR technique strongly supported the existence of a spatial nutrient gradient across the tidal strait of the Finlayson Islands, while particulate organic carbon (POC) and chlorophyll a (Chl a) concentration estimates were difficult to interpret. Spatially, the larger N. frigida cells appeared to be more sensitive to the nutrient gradient, significantly increasing (decreasing) in lipid (protein) content towards the outside of the tidal strait. In contrast, the epiphytic diatom, Attheya spp., was more sensitive to the vertical gradient, where above 2 cm into the bottom-ice matrix, the non-motile cells were trapped with a depleted nutrient inventory and evidence of a post-bloom state. Application of the FTIR technique to estimate algal cell biomolecular composition provided new insights on the response of the bottom-ice algal community to the examined nutrient supply gradients that could not be attained from conventional bulk measurements alone. Therefore, future studies are encouraged to employ the use of this technique.\r\n\r\nDataset consists of multiple tabs:\r\n\r\n1. Metadata\r\n\r\n2. Nitzschia frigida data\r\n\r\n3. Attheya spp. data\r\n\r\n4. Ice Algae Community\r\n\r\n5. Diatom Population\r\n\r\n6. FTIR Target Cells\r\n\r\n7. Nutrients\r\n\r\n8. POC & Chl a\r\n\r\n9. PAR\r\n\r\n10. Snow & Ice measurements", "num_resources": 2, "num_tags": 10, "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, "relatedIdentifier": "https://asp-net.org/content/cambridge-bay-campaign-2017", "related_campaigns": [], "related_deployments": [], "related_instruments": [], "related_platforms": [], "related_programs": ["f6a3ede7-0aa9-4d6e-91e6-385e73a669e1"], "related_publications": [], "resourceTypeGeneral": "Dataset", "rightsIdentifier": "CC-BY-SA-4.0", "rightsIdentifierScheme": "SPDX", "rightsURI": "https://spdx.org/licenses/CC-BY-SA-4.0.html", "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-106.18615726009011,68.86940906454683],[-106.18615726009011,69.18789654649511],[-104.81835940852761,69.18789654649511],[-104.81835940852761,68.86940906454683],[-106.18615726009011,68.86940906454683]]]}", "spatial_regions": "", "startDate": "2017-04-28", "startDateType": "Collected", "state": "active", "status": "Complete", "subjectScheme": "Polar Data Catalogue", "theme": ["98238b1c-5be8-41ad-8c6e-74cdc4f5f369", "506e2629-72d2-47fb-a6e7-6b6f76131459", "2090dfbd-0f5c-4913-805b-1974cb855e93", "e68a90ff-f20e-457f-b077-a2846fe407e7", "3707ff10-6424-4858-9ec9-7d67b38831b3"], "title": "FTIR Autecological Analysis of Bottom-Ice Diatom Taxa", "titleType": "Alternative Title", "type": "dataset", "url": null, "useTerms": "By accessing this data you agree to [CanWIN's Terms of Use](/data/publication/canwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", "version": null, "analyticalInstrument": [{"Title": "", "analyticalInstrumentIdentifier": "", "identifierType": "", "name": "Fourier Transform Infrared Spectrometer (Agilent)", "titleType": "Alternative Title"}, {"Title": "", "analyticalInstrumentIdentifier": "", "identifierType": "", "name": "Elemental Analyzer (Elementar Vario Micro Cube)", "titleType": "Alternative Title"}, {"Title": "", "analyticalInstrumentIdentifier": "", "identifierType": "", "name": "Fluorometer (Turner Designs Trilogy)", "titleType": "Alternative Title"}], "contributors": [{"affiliation": "Centre for Earth Observation Science - University of Manitoba", "contributorName": "Campbell, Karley", "contributorType": "DataCollector", "email": "karley.lynn.campbell@uit.no", "nameIdentifier": ""}], "creatorName": [{"author": "Pogorzelec, Nicole", "creatorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorEmail": "cj.mundy@umanitoba.ca", "creatorNameIdentifier": "0000-0002-3439-2140", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}], "extras": [{"key": "analyticalMethodName", "value": "Water filtration"}, {"key": "award", "value": "[{\"awardTitle\": \"\", \"awardURI\": \"\"}]"}, {"key": "comments", "value": ""}, {"key": "funderIdentifierType", "value": ""}, {"key": "funderName", "value": ""}, {"key": "funderSchemeURI", "value": ""}, {"key": "keywords", "value": "Arctic,Biomass,Chlorophyll,Diatoms,Ice algae,Ice cores,Lipid,Nutrients,Particulate organic carbon,Photosynthetically available radiation"}, {"key": "laboratory", "value": ""}, {"key": "methodDescrioption", "value": ""}, {"key": "methodDescriptionType", "value": "Methods"}, {"key": "methodLink", "value": ""}, {"key": "methodSummary", "value": ""}, {"key": "methodUrl", "value": ""}, {"key": "variablesMeasured", "value": ""}], "groups": [{"description": "The cryosphere encompasses all the parts of the Earth system where water is in solid form, including ice sheets, ice shelves, glaciers, snow cover, permafrost (frozen ground), sea ice, and river and lake ice. 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These data products support climate change monitoring, polar ecosystem studies, navigation and hazard assessment, weather and ocean modelling, and analysis of sea ice trends and their impacts on global circulation and sea level processes.", "display_name": "Sea Ice", "id": "e68a90ff-f20e-457f-b077-a2846fe407e7", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-181821.428005Sea-Ice.svg", "name": "sea-ice", "title": "Sea Ice"}], "publications": [{"RelatedIdentifier": "", "ResourceTypeGeneral": "", "name": "", "relatedIdentifierType": "", "relationType": "", "resourceType": "Online Resource"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2022-03-01T19:24:38.851302", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "FTIR autecological analysis of bottom-ice diatom taxa across nutrient gradients in a tidal strait in the Canadian Arctic.", "format": "XLSX", "hash": "", "id": "b9a48104-201f-4e6d-8520-21c5f61209f6", "last_modified": "2022-03-01T19:24:38.781951", "metadata_modified": "2022-03-01T19:24:39.324502", "mimetype": null, "mimetype_inner": null, "name": "FTIR Autecological Analysis of Bottom-Ice Diatom Taxa", "package_id": "a4bb65b0-f3a5-46e9-8b7a-dbe6b9205d1b", "position": 0, "resCategory": "raw_data", "resource_type": null, "size": 63188, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/a4bb65b0-f3a5-46e9-8b7a-dbe6b9205d1b/resource/b9a48104-201f-4e6d-8520-21c5f61209f6/download/ice-camps-2017-meta-data-jan-27-2020.xlsx", "url_type": "upload"}, {"cache_last_updated": null, "cache_url": null, "created": "2022-03-08T17:11:01.557704", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "This is the complete metadata file for the FTIR dataset.", "format": "PDF", "hash": "", "id": "470f7db7-90ab-4d06-8799-f0a90c2b7e24", "last_modified": "2022-03-08T17:11:01.486963", "metadata_modified": "2026-02-24T00:04:36.772217", "mimetype": "application/pdf", "mimetype_inner": null, "name": "FTIR metadata", "package_id": "a4bb65b0-f3a5-46e9-8b7a-dbe6b9205d1b", "position": 1, "resCategory": "supplemental", "resource_type": null, "size": 876755, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/a4bb65b0-f3a5-46e9-8b7a-dbe6b9205d1b/resource/470f7db7-90ab-4d06-8799-f0a90c2b7e24/download/np_dataset_metadata_v1.pdf", "url_type": "upload"}], "sample_collection": [{"instrumentTitle": "", "methodDescriptionType": "Methods", "methodTitle": "Ice core filtration", "standardized_instrument_name": ""}], "supplementalResources": [{"RelatedIdentifier": "", "ResourceTypeGeneral": "", "name": "", "relatedIdentifierType": "", "relationship": "", "resourceType": "Online Resource", "seriesName": ""}], "tags": [{"display_name": "Arctic", "id": "ba65ee6f-85a0-49ba-a33f-4908378903c7", "name": "Arctic", "state": "active", "vocabulary_id": null}, {"display_name": "Biomass", "id": "fc309547-46ea-4854-bc33-9f5835046d41", "name": "Biomass", "state": "active", "vocabulary_id": null}, {"display_name": "Chlorophyll", "id": "d0ae06c6-a989-4560-bf42-69c0be1d4de9", "name": "Chlorophyll", "state": "active", "vocabulary_id": null}, {"display_name": "Diatoms", "id": "abafcc3b-a054-47f4-9880-5636ac498ff4", "name": "Diatoms", "state": "active", "vocabulary_id": null}, {"display_name": "Ice algae", "id": "17ef24c8-9d33-4b66-86a3-593c36ceb4bb", "name": "Ice algae", "state": "active", "vocabulary_id": null}, {"display_name": "Ice cores", "id": "6f4d4013-ab55-4806-a166-a6f201bbc6d1", "name": "Ice cores", "state": "active", "vocabulary_id": null}, {"display_name": "Lipid", "id": "8654d1c8-12d6-445c-8a26-33438e47cafa", "name": "Lipid", "state": "active", "vocabulary_id": null}, {"display_name": "Nutrients", "id": "44265c2a-a639-4779-9481-478b0d6262ac", "name": "Nutrients", "state": "active", "vocabulary_id": null}, {"display_name": "Particulate organic carbon", "id": "07ee957b-9e06-462b-a225-7e381c2090d4", "name": "Particulate organic carbon", "state": "active", "vocabulary_id": null}, {"display_name": "Photosynthetically available radiation", "id": "c15be38a-42aa-497f-a08d-82f12ee3b0e3", "name": "Photosynthetically available radiation", "state": "active", "vocabulary_id": null}], "relationships_as_subject": [], "relationships_as_object": []}}