<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Preprocessed Sea Level Data at Sebesi</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/Q7HHOA</dcterms:identifier><dcterms:creator>Adytia, Didit</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-04-21</dcterms:issued><dcterms:modified>2022-04-21T07:53:30Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:subject>sea level, tidal</dcterms:subject><dcterms:isReferencedBy>Ramadhan, A. W., Adytia, D., Saepudin, D., Husrin, S., &amp; 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., doi, 10.24843/LKJITI.2021.v12.i03.p01, https://doi.org/10.24843/LKJITI.2021.v12.i03.p01</dcterms:isReferencedBy><dcterms:contributor>Adytia, Didit</dcterms:contributor><dcterms:dateSubmitted>2022-04-21</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>