Skip to main content
zenodoopen

The solvation shell probed by resonant intermolecular Coulombic decay - data

<p>Dataset pertaining to the article "The solvation shell probed by resonant intermolecular Coulombic decay", accepted for publication in Nature Communications. Here, we show how a resonant variant of intermolecular Coulombic decay can be used to selectively infer information on the electronic structure of solvent shell molecules around a metal ion in aqueous solution. Experiments were done using a liquid microjet.</p> <p>Files with extension .nxs are hdf5-files structured according to the NeXus standard v2022.07, see<br>https://www.nexusformat.org/<br>https://fairmat-experimental.github.io/nexus-fairmat-proposal/50433d9039b3f33299bab338998acb5335cd8951/mpes-structure.html<br>NeXus data files can be opened with any software capable of opening hdf5-structured files. The following viewers are adapted to the specifics of the NeXus data format:<br>* nexpy (distributed with python)<br>* https://h5web.panosc.eu/h5wasm (web-based NeXus viewer maintained by the European Photon and Neutron Open Science Cloud-consortium)</p> <p>In each NeXus file-entry, two types of spectra are shown:<br>1. Sweep-averaged spectra, integrated over the non-dispersive coordinate of our detector ('data').<br>2. As-measured data ('raw').</p> <p>Files with extension .txt are tab-separated ascii-files. Files with exension .zip are zipped archives of several .txt-files.</p> <p><br>The following files are provided:</p> <p>Photoemission data pertaining to all figures in the article's main text and supplementary information, including all relevant metadata:<br>CaICD_dataset.nxs</p> <p>Numeric representations of the traces shown in the article's and supplementary information's figures, one zipped archive per figure:<br>FigN.zip</p> <p>Version history<br>1: initial upload</p> <p>Contact persons for questions regarding this data set: R&eacute;mi Dupuy, remi.dupuy@sorbonne-universite.fr; Uwe Hergenhahn, uhe@fhi.mpg.de. If you use these data for your scientific work we are curious to learn about it.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8