<?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>Alpaca 0.2.0</dcterms:title><dcterms:identifier>https://doi.org/10.26165/JUELICH-DATA/MO2IVD</dcterms:identifier><dcterms:creator>Köhler, Cristiano André</dcterms:creator><dcterms:publisher>Jülich DATA</dcterms:publisher><dcterms:issued>2023-12-06</dcterms:issued><dcterms:modified>2024-03-04T13:14:01Z</dcterms:modified><dcterms:description>Alpaca Release 0.2.0, see https://alpaca-prov.readthedocs.io</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:subject>Physics</dcterms:subject><dcterms:subject>provenance</dcterms:subject><dcterms:subject>Python</dcterms:subject><dcterms:subject>software</dcterms:subject><dcterms:isReferencedBy>Köhler, C.A., Ulianych, D., Grün, S., Decker, S., Denker, M., 2023. Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture. https://doi.org/10.48550/arXiv.2311.09672, doi, 10.48550/arXiv.2311.09672, https://doi.org/10.48550/arXiv.2311.09672</dcterms:isReferencedBy><dcterms:contributor>Denker, Michael</dcterms:contributor><dcterms:dateSubmitted>2024-02-16</dcterms:dateSubmitted><dcterms:license>NONE</dcterms:license><dcterms:rights>BSD 3-Clause</dcterms:rights></metadata>