<?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>Replication Data for: Neural network assisted analysis of bimetallic nanocatalysts using X-ray absorption near edge structure spectroscopy</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/CW8AHF</dcterms:identifier><dcterms:creator>Marcella, Nicholas</dcterms:creator><dcterms:creator>Liu, Yang</dcterms:creator><dcterms:creator>Timoshenko, Janis</dcterms:creator><dcterms:creator>Guan, Erjia</dcterms:creator><dcterms:creator>Luneau,Mathilde</dcterms:creator><dcterms:creator>Shriman, Tanya</dcterms:creator><dcterms:creator>Plonka, Anna M.</dcterms:creator><dcterms:creator>van der Hoeven, Jessi E. S.</dcterms:creator><dcterms:creator>Aizenberg, Joanna</dcterms:creator><dcterms:creator>Friend, Cynthia M.</dcterms:creator><dcterms:creator>Frenkel, Anatoly I.</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2020-09-24</dcterms:issued><dcterms:modified>2020-09-24T13:47:12Z</dcterms:modified><dcterms:description>The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.</dcterms:description><dcterms:subject>Chemistry</dcterms:subject><dcterms:isReferencedBy>Phys. Chem. Chem. Phys., 2020, 22, 18902--18910, doi, 10.1039/D0CP02098B</dcterms:isReferencedBy><dcterms:date>2020-09-24</dcterms:date><dcterms:contributor>Miller, Jeffrey</dcterms:contributor><dcterms:dateSubmitted>2020-09-24</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>