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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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Claim

Preparation of polycrystalline tungsten nanofibers by needleless electrospinning_experimental dataset

Research datakeyboard_double_arrow_right Dataset 14 Feb 2022 English Publisher:ZenodoFunded by:EC | SINNCE
Authors: Vojtěch Kundrát;

doi: 10.5281/zenodo.6079073 , 10.5281/zenodo.6079074

Preparation of polycrystalline tungsten nanofibers by needleless electrospinning_experimental dataset

Abstract

We acknowledge Cryo-Electron Microscopy and Tomography Core Facility of CIISB, Instruct-CZ Centre, supported by MEYS, Czech Republic (LM2018127). CzechNanoLab project LM2018110 funded by MEYS, Czech Republic is gratefully acknowledged for the financial support of the measurements/sample fabrication at CEITEC Nano Research Infrastructure. This research has been financially supported by the Horizon 2020 Research and Innovation Program, European Union under grant agreement no. 810626 (SINNCE).

These datasets contain the raw unprocessed data to the Kundrát et al., Preparation of polycrystalline tungsten nanofibers by needleless electrospinning, Journal of Alloys and Compounds, Volume 900, 15 April 2022, 163542.

Related Organizations
Keywords

Electrospinning, Metal, Nanofibers, Silicotungstic Acid, Tungsten, Polyvinyl alcohol

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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).
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impulse
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