<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.bath.ac.uk/id/eprint/1183'>
    <eprintid>1183</eprintid>
    <rev_number>30</rev_number>
    <documents>
      <document id='https://researchdata.bath.ac.uk/id/document/16266'>
        <docid>16266</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/54468'>
            <fileid>54468</fileid>
            <datasetid>document</datasetid>
            <objectid>16266</objectid>
            <filename>RawData.xlsx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
            <hash>07fbc946143f488ce6312bab78b625f8</hash>
            <hash_type>MD5</hash_type>
            <filesize>27395</filesize>
            <mtime>2022-08-05 15:44:37</mtime>
            <url>https://researchdata.bath.ac.uk/1183/1/RawData.xlsx</url>
          </file>
        </files>
        <eprintid>1183</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
        <format>other</format>
        <formatdesc>Raw .csv data from STM nonlocal manipulation used to plot each figure in the paper. The data from each figure is contained in separate sheets.</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>RawData.xlsx</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>3587</userid>
    <dir>disk0/00/00/11/83</dir>
    <datestamp>2022-10-17 13:08:21</datestamp>
    <lastmod>2024-07-15 11:00:03</lastmod>
    <status_changed>2022-10-17 13:08:21</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Sloan</family>
          <given>Peter</given>
        </name>
        <id>P.Sloan@bath.ac.uk</id>
        <orcid>0000-0002-0810-8468</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Rusimova</family>
          <given>Kristina</given>
        </name>
        <id>K.R.Rusimova@bath.ac.uk</id>
        <orcid>0000-0002-3679-9948</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
      </item>
    </creators>
    <title>Dataset for &quot;A  self-consistent model to link surface electronic band structure to the voltage dependence of hot electron induced molecular nanoprobe experiments&quot;</title>
    <subjects>
      <item>CA0040</item>
    </subjects>
    <divisions>
      <item>dept_physics</item>
    </divisions>
    <abstract>This dataset contains data supporting the results presented in the paper &quot;A  self-consistent model to link surface electronic band structure to the voltage dependence of hot electron induced molecular nanoprobe experiments&quot;. It includes the data used to plot each figure in .csv format, associated with this publication.

This study uses a scanning tunnelling microscope (STM)  to initiate molecular nanoprobe experiments on the Si(111)-7x7 at room temperature. A simple model is developed for the fraction of the tunnelling current captured into each of the  surface electronic bands with input from only high-resolution scanning tunnelling spectroscopy (STS) of the clean Si(111)-7x7 surface. This model fits the measured data and gives explanation to the measured voltage onsets, exponential increase in the measured manipulation probabilities and plateau at higher voltages. It also confirms an ultrafast relaxation to the bottom of a surface band for the injected charge after injection, but before the nonlocal spread across the surface.

Experimental section of the publication (available on gold open access) contains more details on the methodology and data preparation.</abstract>
    <date>2022-10-17</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <lay_summary>The dataset contains the analysed data of nonlocal toluene manipulation experiments carried out on the Si(111)-7x7 surface in .csv format. The experiments span the injection  bias volatge range of -1.2 eV to -2.5 eV, and the dataset contains the extracted length scales of diffusion, length scales of ballistic transport, and manipulation probabilities.  The dataset also contains scanning tunnelling spectroscopy data for the unfaulted middle site of the silicon surface and bias voltages spanning -0.01 eV to -2.4 eV.</lay_summary>
    <corp_contributors>
      <item>
        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
      </item>
    </corp_contributors>
    <funding>
      <item>
        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/K00137X/1</grant_id>
        <project_name>Breaking the Single Atom Limit in Atomic Manipulation</project_name>
      </item>
    </funding>
    <research_centres>
      <item>cent_photon</item>
    </research_centres>
    <collection_method>Experiments were performed with a room-temperature UHV (1x10e-10}~mbar) Nanonis controlled Omicron STM-1. Silicon samples of a pre-cut n-type (P-doped, 0.001-0.002 Ohm.cm) (111) wafer were cleaned and reconstructed by computer automated direct current heating. Toluene was purified by freeze-pump-thaw cycles and a small dose (2 Langmuir) was introduced in the gas chamber with a computer controlled leak-valve at pressure of up to 1x10e-9 mbar. Tungsten tips were electrochemically etched from 0.25 mm diameter wire in a 2M NaOH solution and cleaned from oxide through resistive heating in high vacuum (1x10e-6 mbar). An in-house LabVIEW programme was used to compensate and maintain the thermal drift to below 2 pm/s during both manipulation and STS experiments. Nonlocal manipulation experiments were automated with a suite of Matlab and LabVIEW programmes to ensure automatically atomically precise charge injection or STS measurements. For STS here the tip was pushed closer to the surface by 25 pm/V to amplify the signal at low bias with the (dI/dV)/(I/V) analysis performed using the usual  methods.</collection_method>
    <provenance>Full details of how the data were processed may be found in the main text of the paper. The full paper is available on gold open access.</provenance>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01183</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.1039/D2NA00644H</link>
        <type>pub</type>
      </item>
    </related_resources>
    <equipment>
      <item>
        <name>Scanning Tunnelling Microscope UHV Chamber</name>
        <id>f5d4cd7b-b67d-464c-9d6f-7e400f13dcde</id>
      </item>
    </equipment>
    <access_types>
      <item>open</item>
    </access_types>
    <resourcetype>
      <general>Dataset</general>
    </resourcetype>
  </eprint>
</eprints>
