Automated Author ProfilePanda, Kaushik
Donald Danforth Plant Science Center, St. Louis, MO, USA0000-0002-8217-472x
Panda, Kaushik
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: 5.0 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is a supporting dataset from the manuscript “The plant response to high CO2 levels is heritable and orchestrated by DNA methylation” by Panda et al. This dataset was used to study trans-generational growth responses to environments with contrasting CO2 levels. Raspberry Pi computers and cameras were used to image Arabidopsis thaliana wild-type (Columbia) and mutant (ago1-27, cmt2-7/cmt3-11t, ddm1-2, met1, pol IV, suvh4/suvh5/suvh6, and ubp1b) plants growing under ambient (450-500 ppm) and high (1000 ppm) CO2 conditions. Imaging was done hourly from overhead beginning on the 8th day after sowing and continued until the 25th day after sowing. Dataset 1 contains images of plants grown in the first round of the experiment under ambient and high CO2 conditions.
Authors
- Panda, Kaushik ;
- Mohanasundaram, Boominathan ;
- Gutierrez, Jorge ;
- McLain, Lauren ;
- Castillo, S. Elizabeth ;
- Sheng, Hudanyun ;
- Casto, Anna ;
- Gratacós, Gustavo ;
- Chakrabarti, Ayan ;
- Fahlgren, Noah ;
- Pandey, Sona ;
- Gehan, Malia A. ;
- Slotkin, R. Keith
This is a supporting dataset from the manuscript “The plant response to high CO2 levels is heritable and orchestrated by DNA methylation” by Panda et al. This dataset was used to study trans-generational growth responses to environments with contrasting CO2 levels. Raspberry Pi computers and cameras were used to image Arabidopsis thaliana wild-type (Columbia) and mutant (ago1-27, cmt2-7/cmt3-11t, ddm1-2, met1, pol IV, suvh4/suvh5/suvh6, and ubp1b) plants growing under ambient (450-500 ppm) and high (1000 ppm) CO2 conditions. Imaging was done hourly from overhead beginning on the 8th day after sowing and continued until the 25th day after sowing. Dataset 1 contains images of plants grown in the first round of the experiment under ambient and high CO2 conditions.
Authors
- Panda, Kaushik ;
- Mohanasundaram, Boominathan ;
- Gutierrez, Jorge ;
- McLain, Lauren ;
- Castillo, S. Elizabeth ;
- Sheng, Hudanyun ;
- Casto, Anna ;
- Gratacós, Gustavo ;
- Chakrabarti, Ayan ;
- Fahlgren, Noah ;
- Pandey, Sona ;
- Gehan, Malia A. ;
- Slotkin, R. Keith
This is a supporting dataset from the manuscript “The plant response to high CO2 levels is heritable and orchestrated by DNA methylation” by Panda et al. This dataset was used to study trans-generational growth responses to environments with contrasting CO2 levels. Raspberry Pi computers and cameras were used to image Arabidopsis thaliana wild-type (Columbia) and mutant (ago1-27, cmt2-7/cmt3-11t, ddm1-2, met1, pol IV, suvh4/suvh5/suvh6, and ubp1b) plants growing under ambient (450-500 ppm) and high (1000 ppm) CO2 conditions. Imaging was done hourly from overhead beginning on the 8th day after sowing and continued until the 25th day after sowing. Dataset 2 contains images of plants grown in the second round of the experiment under ambient and high CO2 conditions.
Authors
- Panda, Kaushik ;
- Mohanasundaram, Boominathan ;
- Gutierrez, Jorge ;
- McLain, Lauren ;
- Castillo, S. Elizabeth ;
- Sheng, Hudanyun ;
- Casto, Anna ;
- Gratacós, Gustavo ;
- Chakrabarti, Ayan ;
- Fahlgren, Noah ;
- Pandey, Sona ;
- Gehan, Malia A. ;
- Slotkin, R. Keith
This is a supporting dataset from the manuscript “The plant response to high CO2 levels is heritable and orchestrated by DNA methylation” by Panda et al. This dataset was used to study trans-generational growth responses to environments with contrasting CO2 levels. Raspberry Pi computers and cameras were used to image Arabidopsis thaliana wild-type (Columbia) and mutant (ago1-27, cmt2-7/cmt3-11t, ddm1-2, met1, pol IV, suvh4/suvh5/suvh6, and ubp1b) plants growing under ambient (450-500 ppm) and high (1000 ppm) CO2 conditions. Imaging was done hourly from overhead beginning on the 8th day after sowing and continued until the 25th day after sowing. Dataset 2 contains images of plants grown in the second round of the experiment under ambient and high CO2 conditions.
Authors
- Panda, Kaushik ;
- Mohanasundaram, Boominathan ;
- Gutierrez, Jorge ;
- McLain, Lauren ;
- Castillo, S. Elizabeth ;
- Sheng, Hudanyun ;
- Casto, Anna ;
- Gratacós, Gustavo ;
- Chakrabarti, Ayan ;
- Fahlgren, Noah ;
- Pandey, Sona ;
- Gehan, Malia A. ;
- Slotkin, R. Keith
This is a supporting dataset from the manuscript “The plant response to high CO2 levels is heritable and orchestrated by DNA methylation” by Panda et al. This dataset was used to study trans-generational growth responses to environments with contrasting CO2 levels. Raspberry Pi computers and cameras were used to image Arabidopsis thaliana wild-type (Columbia) and mutant (ago1-27, cmt2-7/cmt3-11t, ddm1-2, met1, pol IV, suvh4/suvh5/suvh6, and ubp1b) plants growing under ambient (450-500 ppm) and high (1000 ppm) CO2 conditions. Imaging was done hourly from overhead beginning on the 8th day after sowing and continued until the 25th day after sowing. Dataset 3 contains images of the plants grown in the third round of the experiment under ambient and high CO2 conditions. Plants were the progeny of plants from the first and second rounds.
Authors
- Panda, Kaushik ;
- Mohanasundaram, Boominathan ;
- Gutierrez, Jorge ;
- McLain, Lauren ;
- Castillo, S. Elizabeth ;
- Sheng, Hudanyun ;
- Casto, Anna ;
- Gratacós, Gustavo ;
- Chakrabarti, Ayan ;
- Fahlgren, Noah ;
- Pandey, Sona ;
- Gehan, Malia A. ;
- Slotkin, R. Keith
This is a supporting dataset from the manuscript “The plant response to high CO2 levels is heritable and orchestrated by DNA methylation” by Panda et al. This dataset was used to study trans-generational growth responses to environments with contrasting CO2 levels. Raspberry Pi computers and cameras were used to image Arabidopsis thaliana wild-type (Columbia) and mutant (ago1-27, cmt2-7/cmt3-11t, ddm1-2, met1, pol IV, suvh4/suvh5/suvh6, and ubp1b) plants growing under ambient (450-500 ppm) and high (1000 ppm) CO2 conditions. Imaging was done hourly from overhead beginning on the 8th day after sowing and continued until the 25th day after sowing. Dataset 3 contains images of the plants grown in the third round of the experiment under ambient and high CO2 conditions. Plants were the progeny of plants from the first and second rounds.
Authors
- Panda, Kaushik ;
- Mohanasundaram, Boominathan ;
- Gutierrez, Jorge ;
- McLain, Lauren ;
- Castillo, S. Elizabeth ;
- Sheng, Hudanyun ;
- Casto, Anna ;
- Gratacós, Gustavo ;
- Chakrabarti, Ayan ;
- Fahlgren, Noah ;
- Pandey, Sona ;
- Gehan, Malia A. ;
- Slotkin, R. Keith