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    <responseDate>2026-10-15T01:03:35Z</responseDate>
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    <identifier>10.57760/sciencedb.32721</identifier>
    <datestamp>2025-12-02T18:13:54Z</datestamp>
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<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:date>2025-12-02</dc:date>
  <dc:title>A Supporting Dataset for &amp;quot;Multi-scale Process Cyclicity in the Decimal Expansion of &amp;pi;&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.32721</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the research article &amp;quot;A Discovery of Multi-scale Process Cyclicity in the Decimal Expansion of &amp;pi;: Evidence from Spectral Analysis&amp;quot;. It contains two key components:1. The first 100,000 decimal digits of &amp;pi; as a continuous digit string (file: pi_first_100k_digits.txt).2. A summary table of spectral analysis results identifying three significant periodicities at 2, 19.1, and 244.2-digit periods (file: spectral_peaks_summary.csv).The data demonstrates the existence of multi-scale cyclic structures (&amp;quot;process cyclicity&amp;quot;) within &amp;pi;'s digit sequence, challenging conventional views of &amp;pi; as a purely random normal number.</dc:description>
  <dc:subject>Pi (π); Decimal Expansion; Spectral Analysis; Fast Fourier Transform (FFT); Periodicity Detection; Number Theory; Process Cyclicity; Digital Sequence</dc:subject>
  <dc:creator>Wenju Fu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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