Data from: Evaluating plant biodiversity measurements and exotic species detection in National Resources Inventory Sampling protocols using examples from the Northern Great Plains of the USA
The use of the standardized Whitaker plot method allows the authors to combine plant biodiversity and soil data from the northern Great Plains with other databases worldwide for larger-scale meta-analyses. The multiscale technique also enables comparison of vegetation dynamics at multiple scales.
Turfgrass Soil Carbon Change Through Time: Raw Data and Code
Managed turfgrass is a common component of urban landscapes that is expanding under current land use trends. Previous studies have reported high rates of soil carbon sequestration in turfgrass, but no systematic review has summarized these rates nor evaluated how they change as turfgrass ages. We conducted a meta-analysis of soil carbon sequestration rates from 63 studies. Those data, as well as the code used to analyze them and create figures, are shared here.
Ring Nematode Induction of and Sensitivity to Grapevine Phenolic Compounds
This dataset includes data collected from two experiments that examined the potential induction of phenolic compounds in the roots of grapevines fed upon by ring nematodes.
Amino acid and phenolic compound levels in grapevine leaves infected with Grapevine leafroll-associated virus 3 and Grapevine red blotch-associated virus
Dataset consists of monitoring the levels of 15 amino acid and 21 phenolic compounds in Cabernet franc grapevine leaves infected with Grapevine red blotch-associated virus or Cabernet sauvignon grapevine leaves infected with Grapevine leafroll-associated virus 3 during May, July, and September of 2018 and 2019 in Davis, California.
Data from: A database for global soil health assessment
The SoilHealthDB database integrates soil health measurements conducted in the field from sites across the globe. SoilHealthDC currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. These studies represent 354 geographic sites (i.e., locations with unique latitudes and longitudes) in 42 countries around the world. The SoilHealthDB includes 42 soil health indicators and 46 background indicators that describe factors such as climate, elevation, and soil type.
Data from: Global Meta-Analysis of Cotton Yield and Weed Suppression from Cover Crops
To systematically evaluate cover crop effects on cotton yield and weed suppression, we conducted a random-effects meta-analysis investigating 10 moderating variables in 104 articles, yielding 1117 independent studies over 48 years.
myPhyloDB
myPhyloDB is an open-source software package aimed at developing a user-friendly web-interface for accessing and analyzing all of your laboratory's microbial ecology data (currently supported project types: soil, air, water, microbial, and human-associated). The storage and handling capabilities of myPhyloDB archives users' raw sequencing files, and allows for easy selection of any combination of projects/samples from all of your projects using the built-in SQL database. The data processing capabilities of myPhyloDB are also flexible enough to allow the upload, storage, and analysis of pre-processed data or raw (454 or Illumina) data files using the built-in versions of Mothur and R.
Complete Data and Analysis for: Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis
Soybean rust is a concern to soybean growers and management of soybean rust primarily depends on disease scouting and the timely use of fungicides. The goal of this study was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and graphing.