{"help": "https://canwin-datahub.ad.umanitoba.ca/data/fr/api/3/action/help_show?name=package_show", "success": true, "result": {"Creator": "Creator", "Date": "2024-03-06", "IdentifierType": "DOI", "PublicationYear": "2026", "Publisher": "CanWIN", "RelatedIdentifierType": "URL", "RelationType": "IsSupplementTo", "ResourceType": "sea ice core dissolved and particulate data", "Rights": "Creative Commons Attribution 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": "Field Measurement", "author": null, "author_email": null, "campaignEndDate": "", "campaignStartDate": "", "contributorName": "Mundy, CJ", "contributorType": "DataCurator", "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", "dataCuratorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "dataCuratorEmail": "cj.mundy@umanitoba.ca", "datasetCitation": "Mundy, C.J., Leu, E., Campbell, K., Galindo, V., Levasseur, M., Poulin, M., Gosselin, M.  Intracellular nutrient storage during an ice algal spring bloom - Arctic-ICE 2012. https://doi.org/10.34992/q15a-1e88", "datasetIdentifier": "10.34992/q15a-1e88", "datasetLevel": "1.5", "datasetPublisher": "CanWIN", "dateType": "Updated", "descriptionType": "Abstract", "eastBoundLongitude": "95.25", "embargoDate": "", "endDate": "2012-06-08", "endDateType": "Other", "frequency": "As needed", "id": "3c0b49c3-9f53-4930-8642-738495dcd4c8", "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": "2024-03-07T19:07:32.668245", "metadata_modified": "2026-02-24T00:03:49.427736", "methodCitation": "", "name": "arctic-ice-2012-intracellular-nutrients", "northBoundLatitude": "74.708", "notes": "Nutrient availability influences maximum production, speciation, cellular composition, and overall phenology of the Arctic spring ice algal bloom. However, how ice algae obtain nutrients from their environment is not well-understood. Previously documented positive relationships between sea ice nutrient concentrations and algal biomass evidenced that ice algae maintain an intracellular nutrient pool. Here we provide direct evidence that **sea ice diatoms store intracellular nitrate+nitrite and silicic acid well above that available in their ambient environment**. Differential retention of intracellular pools released during standard melt processing techniques led to an increase in the apparent dissolved ratio of N:Si measured in bulk ice melt samples that likely influenced interpretations of Si-limitation in some previous studies. \r\n\r\n<br><br>\r\n\r\nThe ability of ice algae to store nutrient reserves also highlights a critical biological process that stands to shift our understanding of nutrient dynamics in sea ice.\r\n", "num_resources": 1, "num_tags": 4, "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, "projectImage": "https://canwin-datahub.ad.umanitoba.ca/sites/default/files/users/user44/Bottom_Ice_Algae_Picture.png", "relatedIdentifier": "", "related_campaigns": [], "related_deployments": [], "related_instruments": [], "related_platforms": [], "related_programs": ["05fafa5f-cee8-4369-b6c3-8391d05dbbed"], "related_publications": [], "resourceTypeGeneral": "Dataset", "rightsIdentifier": "CC-BY-4.0", "rightsIdentifierScheme": "SPDX", "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", "southBoundLatitude": "74.708", "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-95.2923820456,74.6279297473],[-94.5804679496,74.6279297473],[-94.5804679496,74.801703226],[-95.2923820456,74.801703226],[-95.2923820456,74.6279297473]]]}", "spatial_regions": "resolute", "startDate": "2012-05-19", "startDateType": "Collected", "state": "active", "status": "Complete", "subjectScheme": "Polar Data Catalogue", "theme": ["506e2629-72d2-47fb-a6e7-6b6f76131459", "e68a90ff-f20e-457f-b077-a2846fe407e7", "e8cfaf2b-6f2e-4b45-8644-afa1be48ed48", "98238b1c-5be8-41ad-8c6e-74cdc4f5f369"], "title": "Arctic-ICE 2012 Intracellular Nutrients", "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, "westBoundLongitude": "95.25", "analyticalInstrument": [{"Title": "", "analyticalInstrumentIdentifier": "", "identifierType": "", "name": "Cond 330i, WTW", "titleType": "Alternative Title"}, {"Title": "", "analyticalInstrumentIdentifier": "", "identifierType": "", "name": "10-005R Turner Designs fluorometer", "titleType": "Alternative Title"}], "analyticalMethod": [{"analyticalMethodName": "Bulk Ice Salinity", "comments": "", "laboratory": "", "methodLink": "", "methodSummary": "**Instrument**: Cond 330i, WTW\r\n\r\nMelt ice core without filtered seawater dilution and measure salinity at room temperature.", "variablesMeasured": "Salinity"}, {"analyticalMethodName": "Bottom ice chlorophyll (chl) a concentration\t", "comments": "", "laboratory": "", "methodLink": "", "methodSummary": "**Instrument**: 10-005R Turner Designs fluorometer\r\n\r\nMelted ice core samples were filtered onto Whatman GF/F glass fiber filters (nominal pore size of 0.7 \u00b5m) for analysis of bottom-ice chl a. Filters were placed in 90% acetone for 18 to 24 hr, and the extracted chl a was measured before and after acidification with 5% HCl using a 10-005R Turner Designs fluorometer. All measurements were made with ice core melt using 3:1 filtered seawater dilution and corrected for the dilution.", "variablesMeasured": "Chl a concentration"}, {"analyticalMethodName": "Algal Taxonomy", "comments": "", "laboratory": "", "methodLink": "", "methodSummary": "**Instrument**: Inverted Microscope\t\r\n\r\nMelted ice core samples were preserved with acidic Lugol\u2019s solution (Parsons et al. 1984) and stored in the dark at 4\u00b0C for later analysis of cell identification and enumeration. Cells > 4 \u00b5m were identified to the lowest possible taxonomic rank using inverted microscopy according to (Lund et al. 1958); however, information is only presented on total autotrophic cell abundance and percent contribution of pennate diatoms. All measurements were made with ice core melt using 3:1 filtered seawater dilution and corrected for the dilution.\r\n\r\n**References:**\r\n\r\n1. T. R. Parsons, Y. Maita, C. M. Lalli, A Manual of Chemical and Biological Methods for Seawater Analysis. (Pergamon Press, 1984) https:/doi.org/10.25607/OBP-1830 (March 4, 2024).\r\n\r\n2. J. W. G. Lund, C. Kipling, E. D. Le Cren, The inverted microscope method of estimating algal numbers and the statistical basis of estimations by counting. Hydrobiologia 11, 143\u2013170 (1958).\t", "variablesMeasured": "Percent contribution of main algal taxa"}, {"analyticalMethodName": "Macronutrient concentrations", "comments": "", "laboratory": "", "methodLink": "", "methodSummary": "Sample was filtered through pre-combusted (450degC for 5 hr) Whatman GF/F filters using a sterilized syringe. Filtrate was collected in acid-cleaned polyethylene tubes after three rinses with the filtrate, and stored at -20degC until analysis within 6 months using a Bran-Luebbe 3 autoanalyzer (adapted from (Grasshoff et al. 1999)). Samples were analyzed for nitrate+nitrite, phosphate and silicic acid. Samples for Si(OH)4 determination were thawed for at least 24 hr to minimize the issue of silicate polymerization when samples have been stored by freezing (Macdonald et al. 1986).\r\n\r\n**Bulk ice nutrients** - samples were from ice cores melted without filtered seawater addition\r\n\r\n**Water Column** - 2 m water depth\r\n\r\n**Intracellular Nutrients** - The method used to extract the intracellular nutrient pool was adapted from (Dortch 1982). Within 3 hr of collection, a subsample from the scrape sample was filtered onto a pre-combusted (450\u00b0C for 5 h) Whatman GF/F filter within an acid-cleaned filter head mounted on a large Erlenmeyer flask. Once enough material was concentrated on the filter (visible confirmation), vacuum pressure was released and a 60-mL acid-cleaned polyethylene tube, rinsed with boiling reverse osmosis water, was suspended below the filtration head within the Erlenmeyer flask. Then, 40 mL of boiling reverse osmosis water was poured directly into the filter funnel. The water was left for 10 minutes and then vacuum pressure restored and the filtrate was collected in the suspended tube. Following collection of the filtrate, the tube was sealed and placed immediately into the -20degC freezer.  Following the abovementioned protocol, a subsample of the boiling reverse osmosis water was also collected as a blank for every sample day.\r\n\r\nQ. Dortch, Effect of growth conditions on accumulation of internal nitrate, ammonium, amino acids, and protein in three marine diatoms. Journal of Experimental Marine Biology and Ecology 61, 243\u2013264 (1982).\r\n\r\nK. Grasssshoff, K. Kremling, M. Ehrhardt, \u201cFrontmatter\u201d in Methods of Seawater Analysis, (John Wiley & Sons, Ltd, 1999), pp. i\u2013xxxii.\r\n\r\nR. W. Macdonald, F. A. McLaughlin, C. S. Wong, The storage of reactive silicate samples by freezing. Limnology and Oceanography 31, 1139\u20131142 (1986).", "variablesMeasured": "Macronutrient concentrations"}], "awards": [{"awardTitle": "Discovery and Northern Research Supplements", "awardURI": "", "funderIdentifierType": "", "funderName": "NSERC", "funderSchemeURI": ""}, {"awardTitle": "Network Project and Aircraft support", "awardURI": "", "funderIdentifierType": "", "funderName": "ArcticNet NCE", "funderSchemeURI": ""}, {"awardTitle": "Start-up Grant (Mundy)", "awardURI": "", "funderIdentifierType": "", "funderName": "University of Manitoba", "funderSchemeURI": ""}, {"awardTitle": "Logistical Support", "awardURI": "", "funderIdentifierType": "", "funderName": "Polar Continental Shelf Project", "funderSchemeURI": ""}], "contributors": [{"affiliation": "Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski", "contributorName": "Gosselin, Michel", "contributorType": "ProjectMember", "email": "michel_gosselin@uqar.ca", "nameIdentifier": ""}], "creatorName": [{"author": "Mundy, CJ", "creatorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorEmail": "cj.mundy@umanitoba.ca", "creatorNameIdentifier": "0000-0001-5945-8305", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}], "groups": [{"description": "Features and characteristics of salt water bodies.\r\n\r\nIn CEOS, related research themes include biogeochemistry, modelling, marine mammals, oil spill response, physical oceanography, remote sensing and technology and trace metals and contaminants", "display_name": "Marine", "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", "name": "marine", "title": "Marine"}, {"description": "Nutrients data products describe the concentration and distribution of key chemical compounds that support marine productivity, such as nitrate, phosphate, silicate, and ammonium. These data products support monitoring of ocean biogeochemistry, ecosystem health, harmful algal bloom risk, coastal eutrophication, and long-term changes in nutrient cycling linked to climate and human activity.", "display_name": "Nutrients", "id": "e8cfaf2b-6f2e-4b45-8644-afa1be48ed48", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2026-02-11-190233.174934Nutrients.svg", "name": "nutrients", "title": "Nutrients"}, {"description": "Sea ice data products describe the extent, concentration, thickness, motion, and seasonal variability of floating ice in polar oceans. 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, "ckan_url": "https://canwin-datahub.ad.umanitoba.ca", "created": "2024-03-07T21:04:34.517284", "datastore_active": true, "datastore_contains_all_records_of_source_file": true, "description": "Nutrient availability influences maximum production, speciation, cellular composition, and overall phenology of the Arctic spring ice algal bloom. However, how ice algae obtain nutrients from their environment is not well-understood. Previously documented positive relationships between sea ice nutrient concentrations and algal biomass evidenced that ice algae maintain an intracellular nutrient pool. Here we provide direct evidence that sea ice diatoms store intracellular nitrate+nitrite and silicic acid well above that available in their ambient environment. ", "format": "XLSX", "hash": "9f9bec585d08e28e464a3816695751ba", "id": "e186270b-275f-4795-a3e0-5a3ec39f3e85", "ignore_hash": true, "last_modified": "2025-03-05T15:09:48.629343", "metadata_modified": "2025-03-05T15:09:56.055669", "mimetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "mimetype_inner": null, "name": "IC Nutrients", "original_url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/3c0b49c3-9f53-4930-8642-738495dcd4c8/resource/e186270b-275f-4795-a3e0-5a3ec39f3e85/download/ic_nutrients_dataset_final.xlsx", "package_id": "3c0b49c3-9f53-4930-8642-738495dcd4c8", "position": 0, "resCategory": "data", "resource_id": "e186270b-275f-4795-a3e0-5a3ec39f3e85", "resource_type": null, "set_url_type": false, "size": 37118, "state": "active", "task_created": "2025-03-05 15:09:48.833308", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/3c0b49c3-9f53-4930-8642-738495dcd4c8/resource/e186270b-275f-4795-a3e0-5a3ec39f3e85/download/ic_nutrients_dataset_final.xlsx", "url_type": "upload"}], "sample_collection": [{"comment": "", "instrumentTitle": "Metre stick", "methodDescrioption": "", "methodDescriptionType": "Methods", "methodTitle": "Snow depth measurements", "methodUrl": "", "standardized_instrument_name": "metre stick"}, {"comment": "", "instrumentTitle": "Sea-Bird SBE 19plus V2 conductivity-temperature-depth (CTD) probe", "methodDescrioption": "2-m water depth salinities were extracted from CTD casts.", "methodDescriptionType": "Methods", "methodTitle": "Water column salinity", "methodUrl": "", "standardized_instrument_name": "Seabird CTD"}, {"comment": "", "instrumentTitle": "Bran-Luebbe 3 autoanalyzer", "methodDescrioption": "Sample was filtered through pre-combusted (450degC for 5 hr) Whatman GF/F filters using a sterilized syringe. Filtrate was collected in acid-cleaned polyethylene tubes after three rinses with the filtrate, and stored at -20degC until analysis within 6 months using a Bran-Luebbe 3 autoanalyzer (adapted from (Grasshoff et al. 1999)). Samples were analyzed for nitrate+nitrite, phosphate and silicic acid. Samples for Si(OH)4 determination were thawed for at least 24 hr to minimize the issue of silicate polymerization when samples have been stored by freezing (Macdonald et al. 1986).\r\n\r\n**Bulk ice nutrients** - samples were from ice cores melted without filtered seawater addition.\r\n\r\n**Water Column** - 2 m water depth\r\n\r\n**Intracellular Nutrients** - The method used to extract the intracellular nutrient pool was adapted from (Dortch 1982). Within 3 hr of collection, a subsample from the scrape sample was filtered onto a pre-combusted (450\u00b0C for 5 h) Whatman GF/F filter within an acid-cleaned filter head mounted on a large Erlenmeyer flask. Once enough material was concentrated on the filter (visible confirmation), vacuum pressure was released and a 60-mL acid-cleaned polyethylene tube, rinsed with boiling reverse osmosis water, was suspended below the filtration head within the Erlenmeyer flask. Then, 40 mL of boiling reverse osmosis water was poured directly into the filter funnel. The water was left for 10 minutes and then vacuum pressure restored and the filtrate was collected in the suspended tube. Following collection of the filtrate, the tube was sealed and placed immediately into the -20degC freezer.  Following the above-mentioned protocol, a subsample of the boiling reverse osmosis water was also collected as a blank for every sample day.\r\n\r\n\r\n** References**\r\n\r\n1. Q. Dortch, Effect of growth conditions on accumulation of internal nitrate, ammonium, amino acids, and protein in three marine diatoms. Journal of Experimental Marine Biology and Ecology 61, 243\u2013264 (1982).\r\n\r\n2. K. Grasssshoff, K. Kremling, M. Ehrhardt, \u201cFrontmatter\u201d in Methods of Seawater Analysis, (John Wiley & Sons, Ltd, 1999), pp. i\u2013xxxii.\r\n\r\n3. R. W. Macdonald, F. A. McLaughlin, C. S. Wong, The storage of reactive silicate samples by freezing. Limnology and Oceanography 31, 1139\u20131142 (1986).", "methodDescriptionType": "Methods", "methodTitle": "Nutrient concentration", "methodUrl": "", "standardized_instrument_name": ""}, {"comment": "", "instrumentTitle": "Ice thickness tape", "methodDescrioption": "Data were collected every 4 days between 19 May and 8 June. Snow depths were measured at every core extraction location, with targeted sampling of three different sites to capture the available range of snow depth conditions, including thin (<10 cm), medium (10-17 cm), and thick (>17 cm) snow covers. Bottom-ice samples were collected from each of these extraction locations using a Kovacs Mark II coring system (9-cm inner diameter) and processed for analysis of i) bottom-ice chlorophyll a concentration (chl a) and community composition, ii) intracellular nutrients and, iii) bottom-ice bulk nutrients.\r\n\r\nFor quantitative measurements of bottom-ice chl a and community composition, up to three ice cores were extracted from each site and the bottom 3 cm were pooled into isothermal containers before melt in 0.2-\uf06dm filtered seawater (FSW) to limit osmotic shock to the algae during melt processing. The FSW-diluted core solution was melted in the dark over a 15 to 20-hr period. For intracellular nutrient measurements, a bottom-ice scrape sample was collected from 1-3 cores per sampling site depending on visible algal coloration. The scrape procedure used a stainless-steel knife to scrape off the soft skeletal bottom-ice layer, which contained the strongest coloration of algal matter (<0.5 cm), directly into 500 mL of FSW at a temperature near freezing. This technique minimizes stress on algal cells during ice melt processing by: i) maintaining sample salinities similar to growth conditions at the ice-ocean interface, and ii) reducing time of exposure to potentially stressful melt conditions, as all scrape samples were processed within 3 hr of collection. For bulk ice nutrient measurements, the bottom 3 cm of an ice core was collected and placed immediately into a sterile bag (Nasco Whirl-Pak) and then melted over a 15 to 20-hr period in the dark.", "methodDescriptionType": "Methods", "methodTitle": "Ice sample collection", "methodUrl": "", "standardized_instrument_name": ""}, {"comment": "", "instrumentTitle": "Niskin sampler", "methodDescrioption": "A Niskin sampler was lowered through an ice hole to collect water at a 2-m depth.", "methodDescriptionType": "Methods", "methodTitle": "Water sampling", "methodUrl": "", "standardized_instrument_name": "Niskin Bottle"}], "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": "Ice algae", "id": "17ef24c8-9d33-4b66-86a3-593c36ceb4bb", "name": "Ice algae", "state": "active", "vocabulary_id": null}, {"display_name": "Nutrients", "id": "44265c2a-a639-4779-9481-478b0d6262ac", "name": "Nutrients", "state": "active", "vocabulary_id": null}, {"display_name": "Taxonomy", "id": "ac8365f3-118a-4786-886e-f96ad81ceb7c", "name": "Taxonomy", "state": "active", "vocabulary_id": null}], "relationships_as_subject": [], "relationships_as_object": []}}