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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by the Competence Centre for Research Data, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please see our author instructions and get in touch with us.
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1 to 10 of 3,702 Results
LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]
May 20, 2022 - arthistoricum.net@heiDATA
Knaus, Gudrun; Kailus, Angela; Stein, Regine, 2022, "LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]", https://doi.org/10.11588/data/CHEPS6, heiDATA, V1
LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das "LIDO-Handbuch für die Erfassung u...
Peter_Paul_Rubens_Geissblattlaube_Alte_Pinakothek_de_v.1.1.xml
May 20, 2022 - LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]
XML - 99.4 KB - MD5: 8f54ba90b3d0f212f163bc1a1b0e76e4
Snippet_Objektauswahl_de_v.1.1.xml
May 20, 2022 - LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]
XML - 6.0 KB - MD5: abae0541ba35e6f06bb571a605f133a8
Snippet_Relationen_Werkteile_Marienaltar_de_v.1.1.xml
May 20, 2022 - LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]
XML - 13.6 KB - MD5: dc049ab485dee0b4cb3fb18fbed690a7
Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
May 13, 2022 - Central Institute of Mental Health - Systems Neuroscience in Psychiatry (SNiP)
Renz, Malika Pia; Zidda, Francesca; Andoh, Jamila; Prager, Marcel; Sack, Markus; Becker, Robert; Ruf, Matthias; Schmitgen, Mike M.; Wolf, Robert C.; Meyer-Lindenberg, Andreas; Tost, Heike, 2022, "Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]", https://doi.org/10.11588/data/BWEV3J, heiDATA, V1
Dataset containing publication, supplementary information, SOP & code for replication at other sites.
Figure1.png
Figure1.png
May 13, 2022 - Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
PNG Image - 795.1 KB - MD5: 46fd2fe64b28142f87550ef47a75739b
Figure2.png
Figure2.png
May 13, 2022 - Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
PNG Image - 51.0 KB - MD5: 79aad29339f62e4eaeaf3d6981242654
Monitor_IMA_arrivals.m
May 13, 2022 - Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
Objective-C Source Code - 4.4 KB - MD5: 79e1e05dfc9bac9ecdc1f06423cbf58d
Code
Renz_rt-fMRI-NF_SI.pdf
May 13, 2022 - Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
Adobe PDF - 27.8 KB - MD5: 37e8b4cd806967592c94abbed230140c
SupplFigureS1.png
SupplFigureS1.png
May 13, 2022 - Practical challenges of continuous real-time fMRI neurofeedback with multi-band accelerated echo-planar imaging and short repetition times. [Materials for Replication]
PNG Image - 328.0 KB - MD5: d7a2e34a7e9a1f5a85515a611a6281b9
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