Automated Author Profile

Meyer, Peter

Current S-Index

8.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

12

Total datasets for this author

Average FAIR Score

70.5%

Average FAIR Score per dataset

Total Citations

8

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

CCDC 2387249: 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

  • Meyer, Peter ;
  • Neumann, Beate ;
  • Stammler, Hans-Georg ;
  • Mitzel, Norbert W.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2l441y2025

CCDC 2387248: 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

  • Meyer, Peter ;
  • Neumann, Beate ;
  • Stammler, Hans-Georg ;
  • Mitzel, Norbert W.
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2l440x2025

MOESM3 of A perfusion bioreactor-based 3D model of the subarachnoid space based on a meningeal tissue construct

Additional file 3: Figure S3. Gene ontology (GO) analysis of RNA sequencing. GO analysis of 980 differentially regulated genes sorted according to Process (A), Component (B) and Function (C). q-value indicating GO-term enrichment.

Authors

  • Neutzner, Albert ;
  • Power, Laura ;
  • DĂźrrenberger, Markus ;
  • Scholl, Hendrik ;
  • Meyer, Peter ;
  • Killer, Hanspeter ;
  • Wendt, David ;
  • Kohler, Corina
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.82671832019

MOESM3 of A perfusion bioreactor-based 3D model of the subarachnoid space based on a meningeal tissue construct

Additional file 3: Figure S3. Gene ontology (GO) analysis of RNA sequencing. GO analysis of 980 differentially regulated genes sorted according to Process (A), Component (B) and Function (C). q-value indicating GO-term enrichment.

Authors

  • Neutzner, Albert ;
  • Power, Laura ;
  • DĂźrrenberger, Markus ;
  • Scholl, Hendrik ;
  • Meyer, Peter ;
  • Killer, Hanspeter ;
  • Wendt, David ;
  • Kohler, Corina
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.8267183.v12019

Additional file 1: Table S1. of Targeted next-generation sequencing analysis in couples at increased risk for autosomal recessive disorders

List of the 430 genes investigated in the couples. Additional file listing the 430 genes for severe AR and XL disorders investigated in the couples (XLS 142 kb)

Authors

  • Komlosi, Katalin ;
  • Diederich, Stefan ;
  • Fend-Guella, Desiree ;
  • Bartsch, Oliver ;
  • Winter, Jennifer ;
  • Zechner, Ulrich ;
  • Beck, Michael ;
  • Meyer, Peter ;
  • Schweiger, Susann
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.58298252018

Additional file 1: Table S1. of Targeted next-generation sequencing analysis in couples at increased risk for autosomal recessive disorders

List of the 430 genes investigated in the couples. Additional file listing the 430 genes for severe AR and XL disorders investigated in the couples (XLS 142 kb)

Authors

  • Komlosi, Katalin ;
  • Diederich, Stefan ;
  • Fend-Guella, Desiree ;
  • Bartsch, Oliver ;
  • Winter, Jennifer ;
  • Zechner, Ulrich ;
  • Beck, Michael ;
  • Meyer, Peter ;
  • Schweiger, Susann
1 Citation0 Mentions85% FAIR1.0 Dataset Index
10.6084/m9.figshare.5829825.v12018

Replication Data for: The statistical trade-off between word order and word structure – large-scale evidence for the principle of least effort (Version: 1.0)

Languages employ different strategies to transmit structural and grammatical information. While, for example, grammatical dependency relationships in sentences are mainly conveyed by the ordering of the words for languages like Mandarin Chinese, or Vietnamese, the word ordering is much less restricted for languages such as Inupiatun or Quechua, as these languages (also) use the internal structure of words (e.g. inflectional morphology) to mark grammatical relationships in a sentence. Based on a quantitative analysis of more than 1,500 unique translations of different books of the Bible in almost 1,200 different languages that are spoken as a native language by approximately 6 billion people (more than 80% of the world population), we present large-scale evidence for a statistical trade-off between the amount of information conveyed by the ordering of words and the amount of information conveyed by internal word structure: languages that rely more strongly on word order information tend to rely less on word structure information and vice versa. Or put differently, if less information is carried within the word, more information has to be spread among words in order to communicate successfully. In addition, we find that – despite differences in the way information is expressed – there is also evidence for a trade-off between different books of the biblical canon that recurs with little variation across languages: the more informative the word order of the book, the less informative its word structure and vice versa. We argue that this might suggest that, on the one hand, languages encode information in very different (but efficient) ways. On the other hand, content-related and stylistic features are statistically encoded in very similar ways.

Authors

  • Koplenig, Alexander ;
  • Meyer, Peter ;
  • Wolfer, Sascha ;
  • Müller-Spitzer, Carolin
3 Citations0 Mentions15% FAIR1.5 Dataset Index
10.7910/dvn/8kh0gb2017

SBGRid DB Poster - Force2016.pdf

Access to experimental X--‐‑ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. In response to evolving needs of the structural biology community, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG, url: data.sbgrid.org), to preserve primary experimental datasets that support journal publications. Datasets archived with the SBDG are freely available to the research community under a public domain dedication license and the metadata for all datasets is published under the DataCite schema. Datasets are accessible to researchers through the Data Access Alliance infrastructure, which facilitates global and institutional data access. Our analysis of a pilot collection of crystallographic datasets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. It is anticipated that access to the experimental datasets will enable paradigm shift in the community from the static archive towards a much more dynamic body of continuously improving refined models. Following the success of this pilot study, the SBDG has extended its services to the entire community and will be used to develop support for other types of biomedical datasets, such as MicroED, Molecular Dynamics trajectories and LaPice Light--‐‑Sheet Microscopy.

Authors

  • Socias, Stephanie ;
  • Jiawei Wu ;
  • Meyer, Peter ;
  • Tjon, Emily ;
  • Oh, David ;
  • Merce Crosas ;
  • Sliz, Piotr
0 Citations0 Mentions85% FAIR0.6 Dataset Index
10.6084/m9.figshare.3175417.v12016

Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions

No description available

Authors

  • Hülsmann, Lisa ;
  • Bugmann, Harald K.M. ;
  • Commarmot, Brigitte ;
  • Meyer, Peter ;
  • Zimmermann, Stephan ;
  • Brang, Peter
0 Citations0 Mentions77% FAIR0.6 Dataset Index
10.5061/dryad.h4s6t/12016

Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions

No description available

Authors

  • Hülsmann, Lisa ;
  • Bugmann, Harald K.M. ;
  • Commarmot, Brigitte ;
  • Meyer, Peter ;
  • Zimmermann, Stephan ;
  • Brang, Peter
0 Citations0 Mentions77% FAIR0.6 Dataset Index
10.5061/dryad.h4s6t/42016