Automated Author ProfileDana, Hod
Dana, Hod
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: 16.2 (sum of 21 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset includes compressed files (.zip) with Matlab files containing the experimental results from experiments with C57BL6/J (WT) and human tau (htau) mice. Within each one of these folders, there is a list of the recorded mice, and within them the recording dates for each mice with the sequence of the recording (from 2 weeks pre-VLP injection up to 6 weeks post-VLP injection). Note that not all mice were recorded through all dates. For each recording date, there is a folder for spontaneous and/or stimulated data acquisition (if a folder doesn't exist, then this data type was not acquired for this animal). Within each recording type folder there are folders with the recorded brain regions, and within them the recorded fields of view (FOVs, typically 2 FOVs per region). Finally, there is a .mat file with all the calculated values from the raw movies. The names should report the content, for example:for spontaneous activity: ROI_list: a struct that includes data for all segmented cells (segmented pixels, fluorescence, neuropil pixels, neuropil fluorescence). Fmean: mean fluorescence signal across all segmented pixels, a matrix with the fluorescence trace for each segmented cell. spike_num: the number of action potential identified for each cell. spike_time: the timing of all detected action potentials identified for each cell.For stimulated activity: F_base: mean fluorescence signal during baseline for 10 stimulation cycles and for each cell. F_stim: mean fluorescence for each cell and stimulation cycle during stimulation. F_decay: mean fluorescence for each cell and stimulation cycle after the stimulus ended. Fmean: mean fluorescence signal across all segmented pixels, a matrix with the fluorescence trace for each segmented cell. ROI_list: a struct that includes data for all segmented cells (segmented pixels, fluorescence, neuropil pixels, neuropil fluorescence). dff: DF/F0, calculated from Fmean with the baseline fluorescence used to estimate the F0. is_tuned: a 1 or 0 vector with the output of a Student's t-test for tuned activity. is_stayUp: a 1 or 0 vector with the output of a Student's t-test for sustained activity. piled_time_frame: the time vector for all 10 cycles of the recordings. piled_time_stim: the timing of the paw stimulation in all 10 stimulation cycles.In addition, there is a Prism file with the calculated values for figures 2-4 and the statistical models for Figures 3-4. Finally, the Matlab custom scripts we generated to calculate the data are also attached with comments inside the code to explain the steps that were used.
Authors
- Dana, Hod
This dataset includes compressed files (.zip) with Matlab files containing the experimental results from experiments with C57BL6/J (WT) and human tau (htau) mice. Within each one of these folders, there is a list of the recorded mice, and within them the recording dates for each mice with the sequence of the recording (from 2 weeks pre-VLP injection up to 6 weeks post-VLP injection). Note that not all mice were recorded through all dates. For each recording date, there is a folder for spontaneous and/or stimulated data acquisition (if a folder doesn't exist, then this data type was not acquired for this animal). Within each recording type folder there are folders with the recorded brain regions, and within them the recorded fields of view (FOVs, typically 2 FOVs per region). Finally, there is a .mat file with all the calculated values from the raw movies. The names should report the content, for example:for spontaneous activity: ROI_list: a struct that includes data for all segmented cells (segmented pixels, fluorescence, neuropil pixels, neuropil fluorescence). Fmean: mean fluorescence signal across all segmented pixels, a matrix with the fluorescence trace for each segmented cell. spike_num: the number of action potential identified for each cell. spike_time: the timing of all detected action potentials identified for each cell.For stimulated activity: F_base: mean fluorescence signal during baseline for 10 stimulation cycles and for each cell. F_stim: mean fluorescence for each cell and stimulation cycle during stimulation. F_decay: mean fluorescence for each cell and stimulation cycle after the stimulus ended. Fmean: mean fluorescence signal across all segmented pixels, a matrix with the fluorescence trace for each segmented cell. ROI_list: a struct that includes data for all segmented cells (segmented pixels, fluorescence, neuropil pixels, neuropil fluorescence). dff: DF/F0, calculated from Fmean with the baseline fluorescence used to estimate the F0. is_tuned: a 1 or 0 vector with the output of a Student's t-test for tuned activity. is_stayUp: a 1 or 0 vector with the output of a Student's t-test for sustained activity. piled_time_frame: the time vector for all 10 cycles of the recordings. piled_time_stim: the timing of the paw stimulation in all 10 stimulation cycles.In addition, there is a Prism file with the calculated values for figures 2-4 and the statistical models for Figures 3-4. Finally, the Matlab custom scripts we generated to calculate the data are also attached with comments inside the code to explain the steps that were used.
Authors
- Dana, Hod
Raw data files for individual animals used in figure(s) 2b,c,d; 3d, supplementary figures 6 and 10.
Authors
- Dana, Hod
Raw data files for individual animals used in figure(s) 2b,c,d; 3d, supplementary figures 6 and 10.
Authors
- Dana, Hod
Numeric data for Fig. 5. (XLSX 101 kb)
Authors
- Shen, Yi ;
- Dana, Hod ;
- Abdelfattah, Ahmed ;
- Patel, Ronak ;
- Shea, Jamien ;
- Molina, Rosana ;
- Rawal, Bijal ;
- Rancic, Vladimir ;
- Chang, Yu-Fen ;
- Wu, Lanshi ;
- Chen, Yingche ;
- Qian, Yong ;
- Wiens, Matthew ;
- Hambleton, Nathan ;
- Ballanyi, Klaus ;
- Hughes, Thomas ;
- Drobizhev, Mikhail ;
- Kim, Douglas ;
- Koyama, Minoru ;
- Schreiter, Eric ;
- Campbell, Robert
Numeric data for Fig. 6eâ h. (XLSX 13 kb)
Authors
- Shen, Yi ;
- Dana, Hod ;
- Abdelfattah, Ahmed ;
- Patel, Ronak ;
- Shea, Jamien ;
- Molina, Rosana ;
- Rawal, Bijal ;
- Rancic, Vladimir ;
- Chang, Yu-Fen ;
- Wu, Lanshi ;
- Chen, Yingche ;
- Qian, Yong ;
- Wiens, Matthew ;
- Hambleton, Nathan ;
- Ballanyi, Klaus ;
- Hughes, Thomas ;
- Drobizhev, Mikhail ;
- Kim, Douglas ;
- Koyama, Minoru ;
- Schreiter, Eric ;
- Campbell, Robert
Numeric data for Fig. 6eâ h. (XLSX 13 kb)
Authors
- Shen, Yi ;
- Dana, Hod ;
- Abdelfattah, Ahmed ;
- Patel, Ronak ;
- Shea, Jamien ;
- Molina, Rosana ;
- Rawal, Bijal ;
- Rancic, Vladimir ;
- Chang, Yu-Fen ;
- Wu, Lanshi ;
- Chen, Yingche ;
- Qian, Yong ;
- Wiens, Matthew ;
- Hambleton, Nathan ;
- Ballanyi, Klaus ;
- Hughes, Thomas ;
- Drobizhev, Mikhail ;
- Kim, Douglas ;
- Koyama, Minoru ;
- Schreiter, Eric ;
- Campbell, Robert
Numeric data for Additional file 3: Figure S2. (XLSX 259 kb)
Authors
- Shen, Yi ;
- Dana, Hod ;
- Abdelfattah, Ahmed ;
- Patel, Ronak ;
- Shea, Jamien ;
- Molina, Rosana ;
- Rawal, Bijal ;
- Rancic, Vladimir ;
- Chang, Yu-Fen ;
- Wu, Lanshi ;
- Chen, Yingche ;
- Qian, Yong ;
- Wiens, Matthew ;
- Hambleton, Nathan ;
- Ballanyi, Klaus ;
- Hughes, Thomas ;
- Drobizhev, Mikhail ;
- Kim, Douglas ;
- Koyama, Minoru ;
- Schreiter, Eric ;
- Campbell, Robert
Numeric data for Additional file 3: Figure S2. (XLSX 259 kb)
Authors
- Shen, Yi ;
- Dana, Hod ;
- Abdelfattah, Ahmed ;
- Patel, Ronak ;
- Shea, Jamien ;
- Molina, Rosana ;
- Rawal, Bijal ;
- Rancic, Vladimir ;
- Chang, Yu-Fen ;
- Wu, Lanshi ;
- Chen, Yingche ;
- Qian, Yong ;
- Wiens, Matthew ;
- Hambleton, Nathan ;
- Ballanyi, Klaus ;
- Hughes, Thomas ;
- Drobizhev, Mikhail ;
- Kim, Douglas ;
- Koyama, Minoru ;
- Schreiter, Eric ;
- Campbell, Robert
Numeric data for Additional file 5: Figure S3. (XLSX 88 kb)
Authors
- Shen, Yi ;
- Dana, Hod ;
- Abdelfattah, Ahmed ;
- Patel, Ronak ;
- Shea, Jamien ;
- Molina, Rosana ;
- Rawal, Bijal ;
- Rancic, Vladimir ;
- Chang, Yu-Fen ;
- Wu, Lanshi ;
- Chen, Yingche ;
- Qian, Yong ;
- Wiens, Matthew ;
- Hambleton, Nathan ;
- Ballanyi, Klaus ;
- Hughes, Thomas ;
- Drobizhev, Mikhail ;
- Kim, Douglas ;
- Koyama, Minoru ;
- Schreiter, Eric ;
- Campbell, Robert