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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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Direct assessment of the acidity of individual surface hydroxyls_experimental dadaset

Research datakeyboard_double_arrow_right Dataset 23 Jun 2021 English Publisher:ZenodoFunded by:EC | SINNCE
Authors: Wagner, Margareta;

doi: 10.5281/zenodo.5017041 , 10.5281/zenodo.5017042

Direct assessment of the acidity of individual surface hydroxyls_experimental dadaset

Abstract

This work was supported by the Austrian Science Fund (FWF), project V 773-N (Elise-Richter-Stelle, M.W.) and Z 250-N27 (Wittgenstein Prize, U.D.), as well as the German Research Foundation (DFG), Research Unit FOR 1878 (funCOS, B.M.). M.W. and U.D. also acknowledge funding under the Horizon 2020 Research and Innovation Programme under the grant agreement number 810626. M. Setvin acknowledges the support of GAUK Primus/20/SCI/009. Computational resources were provided by LRZ Garching (project pn98fa)and RRZ Erlangen.

This dataset contains the raw experimental data for the article "Direct assessment of the acidity of individual surface hydroxyls" by Margareta Wagner, Bernd Meyer, Martin Setvin, Michael Schmid & Ulrike Diebold in Nature volume 592, pages722–725 (2021).

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Keywords

deprotonation/protonation of surfaces, proton affinity, non-contact AFM

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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