<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Helmholtz Earth &amp; Environment DataHub</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/3GPSJH</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2025-11-17</distDate></distStmt><verStmt source="DVN"><version date="2025-11-17" type="RELEASED">1</version></verStmt><biblCit>Kunkel, Ralf; Loup, Ulrich; Sorg, Jürgen; Bundke, Ulrich; Schleiermacher, Chris; Petzold, Andreas, 2025, "Helmholtz Earth &amp; Environment DataHub", https://doi.org/10.26165/JUELICH-DATA/3GPSJH, Jülich DATA, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Helmholtz Earth &amp; Environment DataHub</titl><subTitl>Collaborative Approach for a Common Research Data Infrastructure</subTitl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/3GPSJH</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Forschungszentrum Jülich">Kunkel, Ralf</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich">Loup, Ulrich</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich">Sorg, Jürgen</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich">Bundke, Ulrich</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich">Schleiermacher, Chris</AuthEnty><AuthEnty affiliation="Forschungszentrum Jülich">Petzold, Andreas</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><contact affiliation="Forschungszentrum Jülich" email="u.loup@fz-juelich.de">Loup, Ulrich</contact><depositr>Loup, Ulrich</depositr><depDate>2025-11-17</depDate></distStmt></citation><stdyInfo><subject><keyword>Earth and Environmental Sciences</keyword></subject><abstract>The digital ecosystem of the Helmholtz Earth &amp; Environment DataHub features fully automatic ingestion technologies for time series data, joint data interfaces, such as the OGC SensorThings API, a joint metadata schema and powerful clients, such as the Earth Data Portal.</abstract><sumDscr><dataKind>poster</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.5281/zenodo.15167733</IDNo></titlStmt><biblCit>Loup, U., Heß, R., Kunkel, R., Faber, C., Brinckmann, N., Hanisch, M., Rambhia, M., Lorenz, C., &amp; Schäfer, D. (2025). A Large-scale FAIR Research Data Infrastructure for Environmental Time Series Data. Fellowship of the Data 2025, Jena. Zenodo. https://doi.org/10.5281/zenodo.15167733</biblCit></citation><ExtLink URI="https://doi.org/10.5281/zenodo.15167733"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f38714" URI="https://data.fz-juelich.de/api/access/datafile/38714" level="datafile"><labl>2025-05-05 DataHub Poster_final (2).pdf</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>