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Automated Author Profile

Flis, Anna

Current S-Index

3.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

5

Total datasets for this author

Average FAIR Score

28.5%

Average FAIR Score per dataset

Total Citations

7

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2) (Version: 1)

This upload contains or links to the biological data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated 2022 as bioRxiv https://doi.org/10.1101/105437v2, mostly testing and simulating the effect of a slow circadian clock in the prr7prr9 double mutant compared to the Col wild type plants, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92. Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including pgm, lhy cca1, and in one case, toc1 and gi. This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare. We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.

Authors

  • Chew, Yin Hoon ;
  • Seaton, Daniel D. ;
  • Mengin, Virginie ;
  • Flis, Anna ;
  • Mugford, Sam T. ;
  • George, Gavin M. ;
  • Moulin, Michael ;
  • Hume, Alastair ;
  • Zeeman, Samuel C. ;
  • Fitzpatrick, Teresa B. ;
  • Smith, Alison M. ;
  • Stitt, Mark ;
  • Millar, Andrew
2 Citations0 Mentions13% FAIR0.8 Dataset Index
10.5281/zenodo.6536645May 2022

Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2) (Version: 1)

This upload contains or links to the biological data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated 2022 as bioRxiv https://doi.org/10.1101/105437v2, mostly testing and simulating the effect of a slow circadian clock in the prr7prr9 double mutant compared to the Col wild type plants, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92. Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including pgm, lhy cca1, and in one case, toc1 and gi. This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare. We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.

Authors

  • Chew, Yin Hoon ;
  • Seaton, Daniel D. ;
  • Mengin, Virginie ;
  • Flis, Anna ;
  • Mugford, Sam T. ;
  • George, Gavin M. ;
  • Moulin, Michael ;
  • Hume, Alastair ;
  • Zeeman, Samuel C. ;
  • Fitzpatrick, Teresa B. ;
  • Smith, Alison M. ;
  • Stitt, Mark ;
  • Millar, Andrew
2 Citations0 Mentions88% FAIR1.6 Dataset Index
10.5281/zenodo.6536644May 2022

CCDC 1851533: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Frynas, Sławomir ;
  • Łastawiecka, Elżbieta ;
  • Kozioł, Anna E. ;
  • Flis, Anna ;
  • Pietrusiewicz, K. Michał
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc204nwqJanuary 2019

CCDC 1851534: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Frynas, Sławomir ;
  • Łastawiecka, Elżbieta ;
  • Kozioł, Anna E. ;
  • Flis, Anna ;
  • Pietrusiewicz, K. Michał
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc204nxrJanuary 2019

CCDC 1537702: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Korzeniowska, Ewelina ;
  • Kozioł, Anna E. ;
  • Łastawiecka, Elżbieta ;
  • Flis, Anna ;
  • Stankevič, Marek
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc1nm39pJanuary 2017