Supplementary materials Chapter 5

Guillaume BLANCHY

#Supplementary table S1

Table 1:Query strings, search engines, number of result pages that were processed and dates of the search for finding new data for OTIM-DB.

Search engine

Query string (time range considered)

Date

Pages

Google Scholar

hydraulic unsaturated conductivity tillage|crop

2021/06/02

12

Google Scholar

tension disk infiltrometer

2021/06/02

3

Web of Science

field unsaturated hydraulic conductivity agriculture

2021/06/02

3

Google Scholar

Near-saturated hydraulic conductivity (2013-2021)

2021/06/01

~8

ISI Web

Near-saturated hydraulic conductivity (2013-2021)

2021/06/01

~8

Scopus

Near-saturated hydraulic conductivity (2013-2021)

2021/06/01

~8

Google Scholar

hydraulic conductivity (2013-2021)

2021/05/31

~8

ISI Web

hydraulic conductivity (2013-2021)

2021/05/31

~8

Scopus

hydraulic conductivity (2013-2021)

2021/05/31

~8

Google Scholar

tension disk infiltrometer (2013-2021)

2021/05/31

~5

ISI Web

tension disk infiltrometer (2013-2021)

2021/05/31

~5

Google Scholar

Near-saturated hydraulic conductivity (2013-2021)

10/06/2021

~8

Google Scholar

tillage hydraulic conductivity (2013-2021)

10/06/2021

~8

Google Scholar

tension disk infiltrometer tillage (2013-2021)

10/06/2021

~8

Scopus

Near-saturated hydraulic conductivity (2013-2021)

10/06/2021

~3

Scopus

tillage hydraulic conductivity (2013-2021)

10/06/2021

~3

Scopus

tension disk infiltrometer (tillage) (2013-2021)

10/06/2021

~3

Scopus

"near-saturated" and infiltration

18/06/2021

~4

Scopus

"mini disk infiltrometer"

18/06/2021

~4

Scopus

"tension infiltrometer"

23/06/2021

~5

#Supplementary table S2

Table 2:Reason of rejections

Reason

Number of publications

no access

2

not relevant

19

only one tension

61

overlap with another paper

3

no data published

32

#Supplementary notebooks

All analysis related to exploratory data analysis, meta-analysis and machine learning parts can be found in the Jupyter notebooks located on GitHub: https://github.com/climasoma/otim-db and https://github.com/climasoma/machine-learning. Copies of the notebooks are also available in this section. However, we encourage users willing to reproduce the study to consult the GitHub repositories.