Automated Author Profile

Zenke, Friedemann

0000-0003-1883-644x

Current S-Index

10.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.2

Average Dataset Index per dataset

Total Datasets

9

Total datasets for this author

Average FAIR Score

62.4%

Average FAIR Score per dataset

Total Citations

1

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

TableS1,2,8 for The genetic architecture of the human bZIP interaction network

No description available

Authors

  • Diss, Guillaume ;
  • Bendel, Alexandra ;
  • Kempf, Georg ;
  • Eichenberger, Bastian ;
  • Zenke, Friedemann
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.169137372025

TableS1,2,8 for The genetic architecture of the human bZIP interaction network

No description available

Authors

  • Diss, Guillaume ;
  • Bendel, Alexandra ;
  • Kempf, Georg ;
  • Eichenberger, Bastian ;
  • Zenke, Friedemann
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.169137362025

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Cramer, Benjamin ;
  • Stradmann, Yannik ;
  • Schemmel, Johannes ;
  • Zenke, Friedemann
0 Citations0 Mentions58% FAIR1.3 Dataset Index
10.21227/87ms-9r912020

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Cramer, Benjamin ;
  • Stradmann, Yannik ;
  • Schemmel, Johannes ;
  • Zenke, Friedemann
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.21227/tjyb-xq192019

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Zenke, Friedemann
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.21227/51gn-m1142019

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Cramer, Benjamin ;
  • Stradmann, Yannik ;
  • Schemmel, Johannes ;
  • Zenke, Friedemann
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.21227/brfq-ke912019

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Zenke, Friedemann
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.21227/n8zv-cc722019

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Cramer, Benjamin ;
  • Stradmann, Yannik ;
  • Schemmel, Johannes ;
  • Zenke, Friedemann
1 Citation0 Mentions58% FAIR1.9 Dataset Index
10.21227/5tcd-0j882019

Heidelberg Spiking Datasets

The Heidelberg Spiking Datasets comprise two spike-based classification datasets: The Spiking Heidelberg Digits (SHD) dataset and the Spiking Speech Command (SSC) dataset. The latter is derived from Pete Warden's Speech Commands dataset (https://arxiv.org/abs/1804.03209), whereas the former is based on a spoken digit dataset recorded in-house and included in this repository. Both datasets were generated by applying a detailed inner ear model to audio recordings. We distribute the input spikes and target labels in HDF5 format. SHD as well as SSC are released under the Creative Commons Attribution 4.0 International License.

Authors

  • Cramer, Benjamin ;
  • Stradmann, Yannik ;
  • Schemmel, Johannes ;
  • Zenke, Friedemann
0 Citations0 Mentions58% FAIR1.4 Dataset Index
10.21227/gz8g-9d652019