<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.60507/FK2/OJUHWY</identifier><creators><creator><creatorName nameType="Personal">Dölz, Jürgen</creatorName><givenName>Jürgen</givenName><familyName>Dölz</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-3322-1187</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Henríquez, Fernando</creatorName><givenName>Fernando</givenName><familyName>Henríquez</familyName><affiliation>TU Vienna</affiliation></creator></creators><titles><title>Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering</title></titles><publisher>bonndata</publisher><publicationYear>2025</publicationYear><subjects><subject>Mathematical Sciences</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Dölz, Jürgen</contributorName><givenName>Jürgen</givenName><familyName>Dölz</familyName><affiliation>University of Bonn</affiliation></contributor></contributors><dates><date dateType="Submitted">2025-10-23</date><date dateType="Updated">2025-10-24</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>0</size><size>0</size><size>2895395920</size><size>2895395920</size><size>13152</size><size>2523</size><size>5995</size><size>5039</size><size>11791</size><size>2961</size><size>4046</size><size>372</size></sizes><formats><format>application/octet-stream</format><format>application/octet-stream</format><format>application/x-hdf</format><format>application/x-hdf</format><format>application/x-hdf</format><format>application/x-ipynb+json</format><format>application/x-ipynb+json</format><format>application/x-ipynb+json</format><format>text/x-python</format><format>application/x-ipynb+json</format><format>text/plain; charset=UTF-8</format><format>application/x-shellscript</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="https://opensource.org/license/gpl-3-0/">GPLv3</rights></rightsList><descriptions><description descriptionType="Abstract">Dataset and code to replicate data from

Fully discrete analysis of the Galerkin POD neural network approximation
with application to 3D acoustic wave scattering. 2025.
Authors: J. Dölz, F. Henríquez
Submitted to SIAM Journal on Scientific Computing
Arxiv: https://arxiv.org/abs/2502.01859</description></descriptions><geoLocations/></resource>