<?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>Analyze, Process, Identify, and Share Raman and (FT)IR Spectra</dc:title>
  <dc:title>R package OpenSpecy version 1.5.3</dc:title>
  <dc:description>Raman and (FT)IR spectral analysis tool for plastic particles and
    other environmental samples (Cowger et al. 2021,
    &lt;doi:10.1021/acs.analchem.1c00123&gt;). With read_any(), Open Specy provides a
    single function for reading individual, batch, or map spectral data files
    like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies
    processing spectra, including smoothing, baseline correction,
    range restriction and flattening, intensity conversions, wavenumber
    alignment, and min-max normalization. Spectra can be identified in batch
    using an onboard reference library (Cowger et al. 2020,
    &lt;doi:10.1177/0003702820929064&gt;) using match_spec(). A Shiny app is available
    via run_app() or online at &lt;https://www.openanalysis.org/openspecy/&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3.0)</dc:relation>
  <dc:relation>Imports: methods, data.table, jsonlite, yaml, caTools, hyperSpec,
mmand, plotly, digest, signal, glmnet, jpeg, shiny</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.1.9), shinyjs, shinyWidgets,
bs4Dash, dplyr, DT, ggplot2</dc:relation>
  <dc:creator>Win Cowger &lt;wincowger@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Win Cowger [cre, aut, dtc] (ORCID:
    &lt;https://orcid.org/0000-0001-9226-3104&gt;),
  Zacharias Steinmetz [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-6675-5033&gt;),
  Hazel Vaquero [aut] (ORCID: &lt;https://orcid.org/0009-0001-5468-2049&gt;),
  Nick Leong [aut] (ORCID: &lt;https://orcid.org/0009-0008-3313-4132&gt;),
  Andrea Faltynkova [aut, dtc] (ORCID:
    &lt;https://orcid.org/0000-0003-2523-3137&gt;),
  Hannah Sherrod [aut] (ORCID: &lt;https://orcid.org/0009-0001-0497-8693&gt;),
  Andrew B Gray [ctb] (ORCID: &lt;https://orcid.org/0000-0003-2252-7367&gt;),
  Hannah Hapich [ctb] (ORCID: &lt;https://orcid.org/0000-0003-0000-6632&gt;),
  Jennifer Lynch [ctb, dtc] (ORCID:
    &lt;https://orcid.org/0000-0003-3572-8782&gt;),
  Hannah De Frond [ctb, dtc] (ORCID:
    &lt;https://orcid.org/0000-0003-1199-0727&gt;),
  Keenan Munno [ctb, dtc] (ORCID:
    &lt;https://orcid.org/0000-0003-2916-5944&gt;),
  Chelsea Rochman [ctb, dtc] (ORCID:
    &lt;https://orcid.org/0000-0002-7624-711X&gt;),
  Sebastian Primpke [ctb, dtc] (ORCID:
    &lt;https://orcid.org/0000-0001-7633-8524&gt;),
  Orestis Herodotou [ctb],
  Mary C Norris [ctb],
  Christine M Knauss [ctb] (ORCID:
    &lt;https://orcid.org/0000-0003-4404-8922&gt;),
  Aleksandra Karapetrova [ctb, dtc, rev] (ORCID:
    &lt;https://orcid.org/0000-0002-9856-1644&gt;),
  Vesna Teofilovic [ctb] (ORCID: &lt;https://orcid.org/0000-0002-3557-1482&gt;),
  Laura A. T. Markley [ctb] (ORCID:
    &lt;https://orcid.org/0000-0003-0620-8366&gt;),
  Shreyas Patankar [ctb, dtc],
  Rachel Kozloski [ctb, dtc] (ORCID:
    &lt;https://orcid.org/0000-0003-1211-9351&gt;),
  Samiksha Singh [ctb],
  Katherine Lasdin [ctb],
  Cristiane Vidal [ctb] (ORCID: &lt;https://orcid.org/0000-0001-6363-9475&gt;),
  Clare Murphy-Hagan [ctb] (ORCID:
    &lt;https://orcid.org/0009-0009-9629-2856&gt;),
  Philipp Baumann [ctb] (ORCID: &lt;https://orcid.org/0000-0002-3194-8975&gt;),
  Pierre Roudier [ctb],
  National Renewable Energy Laboratory [fnd],
  Possibility Lab [fnd]</dc:contributor>
  <dc:rights>CC BY 4.0</dc:rights>
  <dc:date>2025-04-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=OpenSpecy</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.OpenSpecy</dc:identifier>
</oai_dc:dc>
