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{"@context": "https://schema.org/", "@type": "Dataset", "@id": "doi:10.15784/601395", "additionalType": ["geolink:Dataset", "vivo:Dataset"], "name": "Vulnerability of Antarctica\u2019s ice shelves to meltwater-driven fracture", "description": "This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar >Rxx*_bar).", "citation": "Lai, C. (2020) \"Vulnerability of Antarctica\u2019s ice shelves to meltwater-driven fracture\" U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601395.", "datePublished": "2020-08-26", "keywords": ["Antarctica", "Computer Model", "Fractures", "Glaciers/ice Sheet", "Glaciology", "Meltwater", "Model Data"], "creator": [{"@type": "Person", "additionalType": "geolink:Person", "name": "Lai, Ching-Yao", "email": "cylai@ldeo.columbia.edu", "affiliation": {"@type": "Organization", "name": null}}], "distribution": [{"@type": "DataDownload", "additionalType": "http://www.w3.org/ns/dcat#DataCatalog", "encodingFormat": "text/xml", "name": "ISO Metadata Document", "url": "https://www.usap-dc.org/metadata/isoxml/601395iso.xml", "contentUrl": "/dataset/filename"}, {"@type": "DataDownload", "@id": "http://dx.doi.org/10.15784/601395", "additionalType": "dcat:distribution", "url": "http://dx.doi.org/10.15784/601395", "contentUrl": "/dataset/filename", "encodingFormat": "text/html"}, {"@type": "DataDownload", "@id": "https://www.usap-dc.org/view/dataset/601395", "additionalType": "dcat:distribution", "url": "https://www.usap-dc.org/view/dataset/601395", "contentUrl": "/dataset/filename", "encodingFormat": "text/html"}], "identifier": {"@type": "PropertyValue", "propertyID": "https://registry.identifiers.org/registry/doi", "value": "doi:10.15784/601395", "url": "https://doi.org/10.15784/601395"}, "contributor": [{"@type": "Role", "roleName": "credit", "description": "funderName:NSF:GEO:OPP:Antarctic Glaciology awardNumber:1743310 awardTitle:Satellite Observations and Modelling of Surface Meltwater Flow and its Impact on Ice Shelves"}], "license": [{"@type": "CreativeWork", "URL": "https://creativecommons.org/licenses/by-nc/4.0/", "name": "MD_Constraints", "description": "useLimitation: Creative Commons Attribution-NonCommercial v4.0 Generic [CC BY-NC 4.0]."}, {"@type": "CreativeWork", "name": "MD_LegalConstraints", "description": "accessConstraints: license. otherConstraints: Creative Commons Attribution-NonCommercial v4.0 Generic [CC BY-NC 4.0]."}, {"@type": "CreativeWork", "name": "MD_SecurityConstraints", "description": "classification: "}], "publisher": {"@type": "Organization", "name": "U.S. Antarctic Program (USAP) Data Center"}, "spatialCoverage": [{"@type": "Place", "geo": {"@type": "GeoShape", "box": "-90, -180, -60, 180"}}]}
This dataset has been downloaded 67 times since March 2017 (based on unique date-IP combinations)