Automated Author ProfileSalib, Minas
University of Oxford
Salib, Minas
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository contains MAT files consisting of simultaneously recorded mouse medial septal and hippocampal local field potentials (20 kHz sampling rates) and spikes from single medial septal cells. Data were recorded with glass electrodes during spontaneous movement and rest periods, followed by juxtacellular labelling of the medial septal cell. Text files of the spike times and detected hippocampal CA1 theta (5-12 Hz) oscillation trough times are associated with each MAT file. The files are organised by cell (neuron) name. For further details, see the CSV file included with the dataset. These recorded and labelled single cells were originally reported in Joshi et al 2017, Viney et al 2018, and Salib et al 2019. Each MAT file contains the following channels, exported from the original Spike2 (smr) recording files: (1) Details of the recording (2) Detected spikes (in seconds) from the single medial septal cell (3) Movement detection (eg. accelerometer or rotary encoder) (4) Local field potential (medial septum), in mV (5) Local field potential (hippocampal CA1), in mV; see CSV file for precise location (e.g. within stratum pyramidale) This dataset is made available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license: If you share or adapt these data you must give appropriate credit, provide a link to the license, and indicate if changes were made.
Authors
- Viney, Tim James ;
- Salib, Minas ;
- Joshi, Abhilasha
This repository contains MAT files consisting of simultaneously recorded mouse medial septal and hippocampal local field potentials (20 kHz sampling rates) and spikes from single medial septal cells. Data were recorded with glass electrodes during spontaneous movement and rest periods, followed by juxtacellular labelling of the medial septal cell. Text files of the spike times and detected hippocampal CA1 theta (5-12 Hz) oscillation trough times are associated with each MAT file. The files are organised by cell (neuron) name. For further details, see the CSV file included with the dataset. These recorded and labelled single cells were originally reported in Joshi et al 2017, Viney et al 2018, and Salib et al 2019. Each MAT file contains the following channels, exported from the original Spike2 (smr) recording files: (1) Details of the recording (2) Detected spikes (in seconds) from the single medial septal cell (3) Movement detection (eg. accelerometer or rotary encoder) (4) Local field potential (medial septum), in mV (5) Local field potential (hippocampal CA1), in mV; see CSV file for precise location (e.g. within stratum pyramidale) This dataset is made available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license: If you share or adapt these data you must give appropriate credit, provide a link to the license, and indicate if changes were made.
Authors
- Viney, Tim James ;
- Salib, Minas ;
- Joshi, Abhilasha