Dataset Open Access

Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets

Nord, Magnus; Semisalova, Anna; Kákay, Attila; Hlawacek, Gregor; MacLaren, Ian; Liersch, Vico; Volkov, Oleksii M.; Makarov, Denys; Paterson, Gary W.; Potzger, Kay; Lindner, Jürgen; Fassbender, Jürgen; McGrouther, Damien; Bali, Rantej


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.3466591">
    <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/>
    <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/>
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.3466591</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.3466591"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Nord, Magnus</foaf:name>
        <foaf:givenName>Magnus</foaf:givenName>
        <foaf:familyName>Nord</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Semisalova, Anna</foaf:name>
        <foaf:givenName>Anna</foaf:givenName>
        <foaf:familyName>Semisalova</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Kákay, Attila</foaf:name>
        <foaf:givenName>Attila</foaf:givenName>
        <foaf:familyName>Kákay</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Hlawacek, Gregor</foaf:name>
        <foaf:givenName>Gregor</foaf:givenName>
        <foaf:familyName>Hlawacek</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>MacLaren, Ian</foaf:name>
        <foaf:givenName>Ian</foaf:givenName>
        <foaf:familyName>MacLaren</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Liersch, Vico</foaf:name>
        <foaf:givenName>Vico</foaf:givenName>
        <foaf:familyName>Liersch</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Volkov, Oleksii M.</foaf:name>
        <foaf:givenName>Oleksii M.</foaf:givenName>
        <foaf:familyName>Volkov</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Makarov, Denys</foaf:name>
        <foaf:givenName>Denys</foaf:givenName>
        <foaf:familyName>Makarov</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Paterson, Gary W.</foaf:name>
        <foaf:givenName>Gary W.</foaf:givenName>
        <foaf:familyName>Paterson</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Potzger, Kay</foaf:name>
        <foaf:givenName>Kay</foaf:givenName>
        <foaf:familyName>Potzger</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Lindner, Jürgen</foaf:name>
        <foaf:givenName>Jürgen</foaf:givenName>
        <foaf:familyName>Lindner</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Fassbender, Jürgen</foaf:name>
        <foaf:givenName>Jürgen</foaf:givenName>
        <foaf:familyName>Fassbender</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>McGrouther, Damien</foaf:name>
        <foaf:givenName>Damien</foaf:givenName>
        <foaf:familyName>McGrouther</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Bali, Rantej</foaf:name>
        <foaf:givenName>Rantej</foaf:givenName>
        <foaf:familyName>Bali</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:title>Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued>
    <dcat:keyword>Scanning transmission electron microscopy</dcat:keyword>
    <dcat:keyword>Differential phase contrast</dcat:keyword>
    <dcat:keyword>Ferromagnetic domains</dcat:keyword>
    <dcat:keyword>Fe60Al40</dcat:keyword>
    <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/RCUK/EPSRC/EP%2FM009963%2F1/"/>
    <schema:funder>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000690</dct:identifier>
        <foaf:name>Research Councils UK</foaf:name>
      </foaf:Organization>
    </schema:funder>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-11-11</dct:issued>
    <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/>
    <owl:sameAs rdf:resource="https://zenodo.org/record/3466591"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3466591</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.3466590"/>
    <owl:versionInfo>1.0.0</owl:versionInfo>
    <dct:description>&lt;p&gt;Transmission electron microscopy data and processing scripts related to the journal article &amp;quot;Strain Anisotropy and Magnetic Domains in Embedded Nanomagnets&amp;quot;: &lt;a href="https://doi.org/10.1002/smll.201904738"&gt;https://doi.org/10.1002/smll.201904738&lt;/a&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Data files&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The data is contained within the 00N_....hdf5 files, which can be accessed using an HDF5 reader. Note that these datasets are very large, and trying to load one of them directly will most likely lead to your computer crashing.&lt;/p&gt; &lt;p&gt;Loading the data in python with h5py:&lt;/p&gt; &lt;pre&gt;&lt;code class="language-python"&gt;import h5py f = h5py.File('003_stripe1.hdf5', mode='r') data = f['fpd_expt/fpd_data/data'] data_subset = data[0:16, 0:16, :, :]&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;Exploring the datasets lazily, i.e. without loading the whole dataset into memory at the same time. Using pixStem:&lt;/p&gt; &lt;pre&gt;&lt;code class="language-python"&gt;import pixstem.api as ps s = ps.load_ps_signal("003_stripe1.hdf5", lazy=True) s.plot()&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;&lt;br&gt; &lt;strong&gt;Processing files&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;All the TEM data has been processed using python scripts, which is named based on the type of processing:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;d00N_...: STEM-DPC processing&lt;/li&gt; &lt;li&gt;l00N_...: lattice size processing&lt;/li&gt; &lt;li&gt;s00N_...: rotation &amp;quot;simulations&amp;quot; to find the relation between the scan and detector rotation&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Several of the scripts generate intermediate files, which are saved in folders with the same prefix as the scripts. So the d001_... script makes a folder named d001_... . These intermediate files are included here as zip-files, since Zenodo doesn&amp;#39;t support folder structures.&lt;/p&gt; &lt;p&gt;The python libraries required to run the scripts are listed in requirements.txt. Newer versions of the libraries will most likely also work.&lt;/p&gt; &lt;p&gt;To setup the python environment with the required libraries, and run all the scripts:&lt;/p&gt; &lt;pre&gt;&lt;code class="language-bash"&gt;pip3 install -r requirements.txt python3 run_all_scripts.py&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;This will most likely take several hours to complete.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dcat:distribution>
      <dcat:Distribution>
        <dct:license rdf:resource="https://creativecommons.org/publicdomain/zero/1.0/legalcode"/>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.3466591"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>6154978049</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/003_stripe1.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>5517547018</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/004_stripe2.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>4986205842</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/005_stripe3.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>5450442710</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/006_stripe4.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>5458917254</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/007_stripe5.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>4055303572</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/008_stripe6.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>3588179243</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/009_stripe7.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>3527404118</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/010_stripe8.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>4353857777</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/013_overview1.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>12229905961</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/015_spiral_large_512x512.hdf5</dcat:downloadURL>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>14489120</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d001_dpc_raw.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2994</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d001_get_dpc_raw_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>18852310</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d002_dpc_cor.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>4007</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d002_get_dpc_corrected_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1050876</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d003_dpc_raw_plot.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>503</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d003_plot_dpc_raw_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1794545</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d004_dpc_cor_plot.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1550</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d004_plot_dpc_cor_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>5312305</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d005_magnetic_domain_information.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>5060</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d005_plot_domain_stripe_visualization.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>3057559</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d006_dpc_raw_spiral.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2437</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d006_get_spiral_dpc_raw_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>3928611</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d007_dpc_cor_spiral.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1967</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d007_get_spiral_dpc_cor_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1841</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d008_make_overview_data_dpc_corr.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2104204</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/d008_overview_data_dpc_corr.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>6106</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l001_get_diff_stripe_line_profiles.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>403007182</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l001_line_profile_diff.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>3613</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l002_get_diff_overview_line_profile.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>44386</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l003_ellipse_data.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2053</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l003_get_ellipse_data.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1475631</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l004_ellipse_debug_plots.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2893</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l004_plot_ellipse_data_debug.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>3785</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l005_get_lattice_parameter_stripes.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>34690</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l005_lattice_size.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>8662</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l006_get_stripe_lattice_parameter_and_errors.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>689033</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/l006_stripe_lattice_size_and_errors.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>120</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/requirements.txt</dcat:downloadURL>
        <dcat:mediaType>text/plain</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1557</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/run_all_scripts.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>1124</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s001_make_simulated_dpc_signal.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>246456</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s001_simulated_dpc_signal.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>7667</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s002_get_stripe_line_profiles.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>41083003</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s002_line_profiles.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2211</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s003_make_simulated_lattice_dataset.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>4309759</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s003_simulated_lattice_dataset.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>6024</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s004_get_ellipse_data.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2153</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s004_get_stripe_simulated_ellipse_data.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>2022</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s005_plot_ellipse_simulated_data.py</dcat:downloadURL>
        <dcat:mediaType>text/x-python</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3466591</dcat:accessURL>
        <dcat:byteSize>67091</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3466591/files/s005_simulated_ellipse_figures.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
  <foaf:Project rdf:about="info:eu-repo/grantAgreement/RCUK/EPSRC/EP%2FM009963%2F1/">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">EP/M009963/1</dct:identifier>
    <dct:title>Fast Pixel Detectors: a paradigm shift in STEM imaging</dct:title>
    <frapo:isAwardedBy>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000690</dct:identifier>
        <foaf:name>Research Councils UK</foaf:name>
      </foaf:Organization>
    </frapo:isAwardedBy>
  </foaf:Project>
</rdf:RDF>
314
395
views
downloads
All versions This version
Views 314314
Downloads 395395
Data volume 1.1 TB1.1 TB
Unique views 278278
Unique downloads 155155

Share

Cite as