{"id":8738,"identifier":"FK2/Q7HHOA","persistentUrl":"https://doi.org/10.34820/FK2/Q7HHOA","protocol":"doi","authority":"10.34820","publisher":"Telkom University Dataverse","publicationDate":"2022-04-21","storageIdentifier":"file://10.34820/FK2/Q7HHOA","datasetVersion":{"id":412,"datasetId":8738,"datasetPersistentId":"doi:10.34820/FK2/Q7HHOA","storageIdentifier":"file://10.34820/FK2/Q7HHOA","versionNumber":1,"versionMinorNumber":1,"versionState":"RELEASED","UNF":"UNF:6:5XOvg662wsF2WFSRxu1rcw==","lastUpdateTime":"2022-04-21T07:53:30Z","releaseTime":"2022-04-21T07:53:30Z","createTime":"2022-04-21T07:52:28Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Preprocessed Sea Level Data at Sebesi"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Adytia, Didit"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Fakultas Informatika, Data Science"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"https://orcid.org/0000-0001-8097-5104"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Adytia, Didit"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Fakultas Informatika, Data Science"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"adytia@telkomuniversity.ac.id"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"The following is preprocessed sea level data at Sebesi. The preprocessed data is obtained by resampling the original data to be 1 hourly data, and interpolating empty data by using spline interpolation."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2020-04-20"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Earth and Environmental Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"sea level, tidal"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.24843/LKJITI.2021.v12.i03.p01"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Ramadhan, A. W., Adytia, D., Saepudin, D., Husrin, S., & Adiwijaya, A. (2021). Forecasting of Sea Level Time Series using RNN and LSTM Case Study in Sunda Strait. Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, 12(3), 130-140."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.24843/LKJITI.2021.v12.i03.p01"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.24843/LKJITI.2021.v12.i03.p01"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Adytia, Didit"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2022-04-21"}]},"geospatial":{"displayName":"Geospatial Metadata","fields":[]},"journal":{"displayName":"Journal Metadata","fields":[]}},"files":[{"label":"SeaLevelData_Sebesi_Hourly.tab","restricted":false,"version":1,"datasetVersionId":412,"dataFile":{"id":8739,"persistentId":"doi:10.34820/FK2/Q7HHOA/LCF0WR","pidURL":"https://doi.org/10.34820/FK2/Q7HHOA/LCF0WR","filename":"SeaLevelData_Sebesi_Hourly.tab","contentType":"text/tab-separated-values","filesize":124733,"storageIdentifier":"file://1804b162a67-bedca9333bd5","originalFileFormat":"text/csv","originalFormatLabel":"Comma Separated Values","originalFileSize":128049,"originalFileName":"SeaLevelData_Sebesi_Hourly.csv","UNF":"UNF:6:HeL68gxaEDhuw0GTrL4d0Q==","rootDataFileId":-1,"md5":"8fe1471602207afdde571bb5e02d5f8c","checksum":{"type":"MD5","value":"8fe1471602207afdde571bb5e02d5f8c"},"creationDate":"2022-04-21"}},{"label":"SeaLevelData_Sebesi_Interpolated.tab","restricted":false,"version":1,"datasetVersionId":412,"dataFile":{"id":8740,"persistentId":"doi:10.34820/FK2/Q7HHOA/XYWO9A","pidURL":"https://doi.org/10.34820/FK2/Q7HHOA/XYWO9A","filename":"SeaLevelData_Sebesi_Interpolated.tab","contentType":"text/tab-separated-values","filesize":95412,"storageIdentifier":"file://1804b16107a-0c605665de95","originalFileFormat":"text/csv","originalFormatLabel":"Comma Separated Values","originalFileSize":98001,"originalFileName":"SeaLevelData_Sebesi_Interpolated.csv","UNF":"UNF:6:hWiMHBigq7IEfIXgCucqYA==","rootDataFileId":-1,"md5":"1b30f9b68b2309d06f2485e33b136d49","checksum":{"type":"MD5","value":"1b30f9b68b2309d06f2485e33b136d49"},"creationDate":"2022-04-21"}}],"citation":"Adytia, Didit, 2022, \"Preprocessed Sea Level Data at Sebesi\", https://doi.org/10.34820/FK2/Q7HHOA, Telkom University Dataverse, V1, UNF:6:5XOvg662wsF2WFSRxu1rcw== [fileUNF]"}}