This data set was prepared for a paper entitled "Complex Network Representation of the Structure–Mechanical Property Relationships in Elastomers with Heterogeneous Connectivity". It contains the simulation data, and intermediate data with script files to draw main figures. The simulation data was obtained and analyzed using J-OCTA V5.0 with COGNAC 9.2.2. The intermediate data was obtained from the simulation data using COGNAC 9.2.2 or python 3.7.0. The script file could be executed in python3 with some libraries to draw main figures in the paper.
A collection of open datasets created by different groups across Elsevier in collaboration with our research collaboration partners. In line with FAIR data practices, these data are openly shared to foster research and promote reproducibility.
Our current research in data science spans natural language processing, fact extraction and entity identification. We also have projects studying research itself through the lenses of gender, researcher mobility, FAIR data use, peer review and the impact of sustainable development goals.
This is the data of the essay "The Interactions among Herbaceous Diversity, Edaphic Factors, and Topography under Typical Afforestation in the Transition Zone between the Qinghai–Tibet Plateau and Loess Plateau".
The package includes herb composition (written by Chinese), diversity, and environment variables with code of R. You can reach me if you cannot understand.