Dataset Open Access
Fiedler, Lenz; Shah, Karan; Cangi, Attila; Bussmann, Michael
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">https://www.hzdr.de/publications/Publ-33194</subfield> <subfield code="i">isIdenticalTo</subfield> <subfield code="n">url</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">10.14278/rodare.1196</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="n">doi</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1094379</subfield> <subfield code="u">https://rodare.hzdr.de/record/1197/files/dataset_scripts_deep_dive.zip</subfield> <subfield code="z">md5:594688cda0be8d67ffeddb045c147032</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Shah, Karan</subfield> <subfield code="u">HZDR / CASUS</subfield> <subfield code="0">(orcid)0000-0002-5480-2880</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Cangi, Attila</subfield> <subfield code="u">HZDR / CASUS</subfield> <subfield code="0">(orcid)0000-0001-9162-262X</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Bussmann, Michael</subfield> <subfield code="u">HZDR / CASUS</subfield> <subfield code="0">(orcid)0000-0002-8258-3881</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-rodare</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.14278/rodare.1197</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>This dataset contains additional data for the publication &quot;A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry&quot;. Its goal is to enable interested people to reproduce the citation analysis carried out in the aforementioned publication. &nbsp;</p> <p>&nbsp;</p> <p><strong>Prerequesites</strong></p> <p>The following software versions were used for the python version of this dataset:</p> <p>Python: 3.8.6</p> <p>Scholarly: 1.2.0</p> <p>Pyzotero: 1.4.24</p> <p>Numpy: 1.20.1</p> <p>&nbsp;</p> <p><strong>Contents</strong></p> <p>results/ : Contains the .csv files that were the results of the citation analysis.&nbsp; Paper groupings follow the ones outlined in the publication.</p> <p>scripts/ : Contains scripts to perform the citation analysis.</p> <p>Zotero.cached.pkl : Contains the cached Zotero library.</p> <p>&nbsp;</p> <p><strong>Usage</strong></p> <p>In order to reproduce the results of the citation analysis, you can use citation_analysis.py in conjunction with cached Zotero library. Manual additions can be verified using the check_consistency script.<br> Please note that you will need a Tor key for the citation analysis, and access to our Zotero library if you don&#39;t want to use the cached version. If you need this access, simply contact us.</p> <p>&nbsp;</p></subfield> </datafield> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2021-10-01</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Fiedler, Lenz</subfield> <subfield code="u">HZDR / CASUS</subfield> <subfield code="0">(orcid)0000-0002-8311-0613</subfield> </datafield> <controlfield tag="001">1197</controlfield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <controlfield tag="005">20241024145915.0</controlfield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:rodare.hzdr.de:1197</subfield> <subfield code="p">openaire_data</subfield> <subfield code="p">openaire_data</subfield> <subfield code="p">openaire_data</subfield> <subfield code="p">user-rodare</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> </record>
All versions | This version | |
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Views | 1,383 | 740 |
Downloads | 493 | 271 |
Data volume | 607.2 MB | 296.6 MB |
Unique views | 641 | 383 |
Unique downloads | 92 | 67 |