Title of the dataset:
Metadata from publication "Chitin- and keratin-rich soil amendments suppress Rhizoctonia solani disease via
changes to the soil microbial community"

Creators:
Andreo-Jimenez, Beatriz
Nijhuis, Els
Mirjam, Schilder


Contributors:
Postma, Joeke


Related publication:
Andreo-Jimenez et al. 2021

Description:
Microbial and chemical-physical data from soil samples treated with ten organic products were selected to assess their potential to enhance disease suppression in soil.
After the products were amended into two different arable soils, pot experiments were performed to assess soil suppressiveness against the fungal pathogen Rhizoctonia solani.
In addition, several soil characteristics were analyzed, as well as the bacterial and fungal community composition and
how microorganisms interact within these communities, to better understand the effect of the organic amendments on creating disease suppressive soils.

Keywords:
Rhizoctonia solani, 16S, ITS, soil suppressiveness, compost, keratin, chitin, microbiome


Spatial coverage:
Experiments were done in two locations (Lisse, Vredepeel) 

Temporal coverage:
Experiment was repeated in two years (2016,2017)

This dataset contains the following files:

Data1_products_properties.csv
Data2_Bacteria_taxonomy_16S.tsv (named 'taxonomy.tsv' in statistics.R file)
Data3_Fungi_taxonomy_unite_ITS2.tsv
Data4_Bacteria_ASV_keratin-chitin_from_CCA.csv
Data5_Fungi_ASV_keratin-chitin_from_CCA.csv
Data6_Bacteria_table_counts_16S.tsv (named 'table-BI_16S_all-runs_grouped-mcf-f10-noCMU-biom.tsv' in statistics.R file)
Data7_Fungi_table_counts_ITS.tsv
Data8_Bacteria_metadata_16S.tsv (named'metadata_16S_all_grouped.tsv' in statistics.R file)
Data9_Fungi_metadata_ITS.csv
Data10_Bacteria_soil_parameters.csv (named 'metadata_soil_new_names.txt' in statistics.R file)
Data11_Fungi_soil_parameters.csv 
Data12_Data12_Rank_list_species_CCA.xlsx

Explanation of variables:

	Product properties file: 
		Kali: K.t (K2O), total potassium
		P phosphate: P.a, available phosphate 
	Metadata files:
		nr: sample number
		obj: treatment number
		HH: replicate number
		treatment_ENG: treatment name as in the manuscript


Methods, materials and software:
Statistical analyses were run in R Studio. Scripts are included as 'statistics_2020.R' file


This dataset is published under the CC BY-SA (Attribution ShareAlike) license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
If you remix, adapt, or build upon the material, you must license the modified material under identical terms.
