Automated Author Profile

Zhou, Peng

Current S-Index

72.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

97

Total datasets for this author

Average FAIR Score

29.4%

Average FAIR Score per dataset

Total Citations

62

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

Tapai Group Stock Market Dataset

No description available

Authors

  • Zhou, Peng
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.57702/f6winytsJanuary 2024

Supplementary. File 1

No description available

Authors

  • Zulfiqar, Hasan ;
  • Dao, Fu-Ying ;
  • Lv, Hao ;
  • Yang, Hui ;
  • Zhou, Peng ;
  • Wg Chen ;
  • Lin, Hao
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.13140/rg.2.2.29539.48169January 2021

Data for De novo Comparative Transcriptome Analysis of Genes Differentially Expressed in the Scion of Homografted and Heterografted Tomato Seedlings

This data record contains a single .xml file holding annotation data, analysis results and primer sequences for comparitive transcriptome analysis of homografted and heterografted tomato seedlings. The data tables correspond to supplementary tables 1-4 in the related research publication.
The data file can be accessed via MS Excel, or openly available spreadsheet or notepad software.
The related study investigates potential molecular mechanisms involved in plant grafting using genetic approaches, in particular underlying mechanisms implicated in the regulation of development and stress responses at the whole-plant level. The investigation employs transcriptome analysis of grafted plants to reveal specific genes involved in the regulation of grafting-induced physiological responses. Transcriptome results are validated using quantitative real-time PCR (qPCR) analysis.
The study provides a foundation for the elucidation of the differentially expressed genes (DEGs) in the scion of hetero- and homografted seedlings. Grafting is significant in vegetable production to enhance plant vigour through the avoidance of soil pathogens and the increased tolerance to low temperature, high salinity, and drought.
The data files contains the following elements:
Supplementary Table S1. The DEGs and functional annotation detected between hetero- and homografted tomato seedlings. Including: gene names, fold changes, biotypes and other annotations.Supplementary Table S2. KEGG pathway enrichment analysis detected between hetero- and homografted tomato seedlings. Including: athway name, mapping and gene counts.
Supplementary Table S3. Familial classification of transcription factors differentially expressed in the scion of heterografted tomato seedlings, Including: Gene name, References sepcies, family and reference gene introduction.
Supplementary table S4. Quantitative real-time PCR (RT-qPCR) validated primer sequences for selected differentially expressed genes detected between hetero- and homografted tomato seedlings.

Raw FASTQ files were deposited in the NCBI Sequence Read Archive under the accession number SUB5937299

Authors

  • Zhou, Peng ;
  • Wang, Hui ;
  • Wenying Zhu ;
  • Wenli Li ;
  • Wang, Fu
1 Citation0 Mentions15% FAIR0.5 Dataset Index
10.6084/m9.figshare.10075001January 2020

Data for: Meta gene regulatory networks in maize highlight functionally relevant regulatory interactions

Regulation of gene expression is central to many biological processes. Gene regulatory networks (GRNs) link transcription factors (TFs) to their target genes and represent a map of potential transcriptional regulation. A consistent analysis of a large number of public maize transcriptome datasets including >6000 RNA-Seq samples was used to generate 45 co- expression based GRNs that represent potential regulatory relationships between TFs and other genes in different populations of samples (cross-tissue, cross-genotype, tissue-and-genotype, etc). While these networks are all enriched for biologically relevant interactions, different networks capture distinct TF-target associations and biological processes.

Authors

  • Zhou, Peng ;
  • Springer, Nathan M.
1 Citation0 Mentions54% FAIR0.9 Dataset Index
10.13020/p3g0-3170January 2020

Data for De novo Comparative Transcriptome Analysis of Genes Differentially Expressed in the Scion of Homografted and Heterografted Tomato Seedlings

This data record contains a single .xml file holding annotation data, analysis results and primer sequences for comparitive transcriptome analysis of homografted and heterografted tomato seedlings. The data tables correspond to supplementary tables 1-4 in the related research publication.
The data file can be accessed via MS Excel, or openly available spreadsheet or notepad software.
The related study investigates potential molecular mechanisms involved in plant grafting using genetic approaches, in particular underlying mechanisms implicated in the regulation of development and stress responses at the whole-plant level. The investigation employs transcriptome analysis of grafted plants to reveal specific genes involved in the regulation of grafting-induced physiological responses. Transcriptome results are validated using quantitative real-time PCR (qPCR) analysis.
The study provides a foundation for the elucidation of the differentially expressed genes (DEGs) in the scion of hetero- and homografted seedlings. Grafting is significant in vegetable production to enhance plant vigour through the avoidance of soil pathogens and the increased tolerance to low temperature, high salinity, and drought.
The data files contains the following elements:
Supplementary Table S1. The DEGs and functional annotation detected between hetero- and homografted tomato seedlings. Including: gene names, fold changes, biotypes and other annotations.Supplementary Table S2. KEGG pathway enrichment analysis detected between hetero- and homografted tomato seedlings. Including: athway name, mapping and gene counts.
Supplementary Table S3. Familial classification of transcription factors differentially expressed in the scion of heterografted tomato seedlings, Including: Gene name, References sepcies, family and reference gene introduction.
Supplementary table S4. Quantitative real-time PCR (RT-qPCR) validated primer sequences for selected differentially expressed genes detected between hetero- and homografted tomato seedlings.

Raw FASTQ files were deposited in the NCBI Sequence Read Archive under the accession number SUB5937299

Authors

  • Zhou, Peng ;
  • Wang, Hui ;
  • Wenying Zhu ;
  • Wenli Li ;
  • Wang, Fu
1 Citation0 Mentions13% FAIR0.5 Dataset Index
10.6084/m9.figshare.10075001.v1January 2020

Data for: The Health Issues of the Homeless and the Homeless Issues of the Ill-Health

The health survey of the homeless people.

Authors

  • Zhou, Peng
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/yrxjwg5xkb.2January 2019

Global sea-surface iodide observations, 1967-2018. (Version: 1)

This dataset regroups the available data of measurements of iodide in the surface waters (upper 20 m) of the global oceans. It includes digitised data from published manuscripts, published and unpublished data supplied by the originators themselves or provided by repositories. It contains 1342 datapoints and spans latitudes from -70S to 68N and data from all major ocean basins. These data are made available under the Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

Authors

  • Chance, Rosie ;
  • Tinel, Liselotte ;
  • Sherwen, Tomás ;
  • Baker, Alex ;
  • Bell, Thomas ;
  • Brindle, John ;
  • Campos, Maria L A M ;
  • Croot, Peter ;
  • Ducklow, Hugh ;
  • He, Peng ;
  • Hoogakker, Babette ;
  • Hopkins, Frances E ;
  • Hughes, Claire ;
  • Jickells, Tim ;
  • Loades, David ;
  • Reyes Macaya, Dharma A ;
  • Mahajan, Anoop S ;
  • Malin, Gill ;
  • Phillips, Daniel P ;
  • Sinha, Alok K ;
  • Sarkar, Amit ;
  • Roberts, Ieuan J ;
  • Roy, Rajdeep ;
  • Song, Xiuxian ;
  • Winklebauer, Helge A ;
  • Wuttig, Kathrin ;
  • Yang, Mingxi ;
  • Zhou, Peng ;
  • Carpenter, Lucy J
4 Citations0 Mentions35% FAIR2.3 Dataset Index
10.5285/7e77d6b9-83fb-41e0-e053-6c86abc069d0January 2019

Data for: The Health Issues of the Homeless and the Homeless Issues of the Ill-Health

The health survey of the homeless people.

Authors

  • Zhou, Peng
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/yrxjwg5xkbJanuary 2019

Data for: The Health Issues of the Homeless and the Homeless Issues of the Ill-Health

The health survey of the homeless people.

Authors

  • Zhou, Peng
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/yrxjwg5xkb.4January 2019

Data for: The Health Issues of the Homeless and the Homeless Issues of the Ill-Health

The health survey of the homeless people.

Authors

  • Zhou, Peng
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/yrxjwg5xkb.3January 2019