<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Get and Manipulate the GESLA Dataset</dc:title>
  <dc:title>R package geslaR version 1.0-3</dc:title>
  <dc:description>Promote access to the GESLA
    &lt;https://gesla787883612.wordpress.com&gt; (Global Extreme Sea Level
    Analysis) dataset, a higher-frequency sea-level record data from all
    over the world. It provides functions to download it entirely, or
    query subsets directly into R, without the need of downloading the
    full dataset. Also, it provides a built-in web-application, so that
    users can apply basic filters to select the data of interest,
    generating informative plots, and showing the selected sites.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: arrow, dplyr, R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: cli</dc:relation>
  <dc:relation>Suggests: bslib, DT, knitr, leaflet, leafpop, lubridate, patchwork,
plotly, rmarkdown, shiny, shinyalert, shinycssloaders,
shinyWidgets, testthat (&gt;= 3.0.0), tidyverse</dc:relation>
  <dc:creator>Fernando Mayer &lt;fernando.mayer@ufpr.br&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Fernando Mayer [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-5115-338X&gt;),
  Niamh Cahill [aut] (ORCID: &lt;https://orcid.org/0000-0003-3086-550X&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-07-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=geslaR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.geslaR</dc:identifier>
</oai_dc:dc>
