{"id": "n03dj-2bb37", "created": "2025-03-11T11:17:34.237610+00:00", "updated": "2025-03-11T11:17:34.250852+00:00", "links": {"self": "https://dar.elter-ri.eu/api/external-datasets/n03dj-2bb37", "oar": "https://dar.elter-ri.eu/api/oar/online-assets?darAssetId=n03dj-2bb37&darAssetType=external-dataset", "self_html": "https://dar.elter-ri.eu/external-datasets/n03dj-2bb37"}, "revision_id": 1, "$schema": "local://external_datasets-1.0.0.json", "metadata": {"alternateIdentifiers": [{"alternateID": "https://doi.org/10.23728/b2share.62e30863d25542f5a9e6e7ce00d08b9f", "alternateIDType": "DOI"}], "assetType": "Dataset", "creators": [{"creatorEmail": "saverio.vicario@iia.cnr.it", "creatorFamilyName": "Vicario", "creatorGivenName": "Saverio", "creatorIDs": [{"entityID": "https://orcid.org/0000-0003-1140-0483", "entityIDSchema": "orcid"}]}], "datasetType": {"datasetTypeCode": "NotSpecified"}, "descriptions": [{"descriptionText": "Abstract: Phenological Annual Summary Statistics based on Ecosystem Functional Attribute framework. The result are based on S2 interpolated with a bayesian implementation of Harmonic Model.\r\n\r\nMethods: Details of the method can be found in Vicario S, Adamo M, Alcaraz-Segura D, Tarantino C (2019) Bayesian Harmonic Modelling of Sparse and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires. Remote Sens 12:83 . doi: 10.3390/rs12010083\r\n\r\nTechnicalInfo: The phenology is not a scalar variable but it is an ensamble of sub-variables all based on MCARI2 vegetation index\r\nand for each one two statistics are given:\r\nexpected value (mean) and a mask for all pixel with standard deviation of uncertianities larger than 10% the mean (CVmask)\r\n\r\nwithin the general name rule proposed:\r\n\r\nlocality_variable_timestamp.extension\r\n\r\nvariable formed in:\r\nPhenology-SubvariableStatistics\r\n\r\nThe subvariables are:\r\n\r\nmean: mean value across the year - values range between 0-0.5\r\nstdintra: standard deviation of the value across the year - values range between 0-0.05\r\nmaxpos: day of the year of the maximum value - values range between 0-0.5\r\nsdinter: standard deviation across years - values range between 0-0.05\r\n\r\nThe statistics are:\r\n\r\nmean: Expected value of the subvariable across 100 simulation\r\nCVmask: 0-1 mask with value 1 for pixel with less than 10% of standard deviation compared to the mean\r\n\r\nThe timestamp refers to a year or to two years", "descriptionType": "Abstract"}], "externalSourceInformation": {"externalSourceInfo": "Data is stored on B2Share", "externalSourceName": "B2Share", "externalSourceURI": "https://b2share.eudat.eu/"}, "geoLocations": [{"geographicDescription": "Whim Bog - United Kingdom", "point": {"latitude": 55.757808817664966, "longitude": -3.295434964107969}}, {"boundingBox": {"eastBoundLongitude": -3.259177740066216, "northBoundLatitude": 55.76935185924692, "southBoundLatitude": 55.746265776083014, "westBoundLongitude": -3.3316921881497223}, "geographicDescription": "Whim Bog - United Kingdom"}], "keywords": [{"keywordLabel": "eLTER", "keywordURI": ""}, {"keywordLabel": "WCS", "keywordURI": ""}, {"keywordLabel": "GeoTIFF", "keywordURI": ""}, {"keywordLabel": "Phenology", "keywordURI": "https://vocabs.lter-europe.net/EnvThes/21647"}, {"keywordLabel": "subvariable: Maxpos", "keywordURI": ""}, {"keywordLabel": "stat: Mean", "keywordURI": ""}, {"keywordLabel": "group: G8", "keywordURI": ""}, {"keywordLabel": "https://doi.org/10.23728/b2share.62e30863d25542f5a9e6e7ce00d08b9f", "keywordURI": ""}], "language": "english", "licenses": [{"licenseCode": "CC BY 4.0", "licenseURI": "https://creativecommons.org/licenses/by/4.0/deed.en"}], "projects": [{"projectID": "https://doi.org/10.3030/820852", "projectName": "e-shape"}], "publicationDate": "2025-02-21", "siteReferences": [{"siteID": "c80eaaac-411f-4e8f-a2c8-5ee7797576db", "siteName": "Whim Bog - United Kingdom"}], "temporalCoverages": [{"endDate": "2020-12-31", "startDate": "2020-01-01"}], "titles": [{"titleLanguage": "eng", "titleText": "Whim Bog - Phenology MaxposMeanmean (2020)"}]}, "pids": {"doi": {"identifier": "NotDefined", "provider": "datacite"}}}