Buttner_et_al_(2020)_Diabetes_therapeutic_potential_Invasive_Acacias_Datasets

Buttner, Daniel

Description

The data presented here is extracted from a large database currently being conceived and collated by the authors. The data was separated to enable management during analysis more efficient. The data is differentiated based on two criteria: (1) the assay used, and (2) species-level comparative extracts (e.g. differing flower periods limit a inclusive extract composite between species for analysis). The data is described here as raw values of replicates and was analyzed in RStudio using a series of from ggplot2, car, dyplr and others. This data was used to formulate the graphics presented and discussed in Buttner_et_al_(2020)_Diabetes_therapeutic_potential_Invasive_Acacias_manuscript. Data format is common-separated values (.csv) for computation efficiency when reading datasets into statistical tools such as R.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

51%

Source

Scholar Data Model

Keywords

Enzyme InhibitionEthnobotany

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00