<?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>Helmholtz Earth &amp; Environment DataHub</dcterms:title><dcterms:identifier>https://doi.org/10.26165/JUELICH-DATA/3GPSJH</dcterms:identifier><dcterms:creator>Kunkel, Ralf</dcterms:creator><dcterms:creator>Loup, Ulrich</dcterms:creator><dcterms:creator>Sorg, Jürgen</dcterms:creator><dcterms:creator>Bundke, Ulrich</dcterms:creator><dcterms:creator>Schleiermacher, Chris</dcterms:creator><dcterms:creator>Petzold, Andreas</dcterms:creator><dcterms:publisher>Jülich DATA</dcterms:publisher><dcterms:issued>2025-11-17</dcterms:issued><dcterms:modified>2025-11-17T17:11:58Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:isReferencedBy>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, doi, 10.5281/zenodo.15167733, https://doi.org/10.5281/zenodo.15167733</dcterms:isReferencedBy><dcterms:contributor>Loup, Ulrich</dcterms:contributor><dcterms:dateSubmitted>2025-11-17</dcterms:dateSubmitted><dcterms:type>poster</dcterms:type><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>