This is a Data package containing Datasets and Codes to reproduce the analyses and create figures for the paper Purgar et al. 2022: Quantifying research waste in ecology. Datasets include the original effect sizes as extracted from studies and the final set of the effect sizes used in the meta-analysis. The code includes the code used to perform meta-analysis and to create plots (in the main article and the supplementary files). Description of the files and variables can be found in the Readme file.The same data package can be found at https://osf.io/z8h3k/ under Data_and_code
The repository contains code and data accompanying the paper "Toward Quantitative Metabarcoding" by ...
Replication code and data for the paper: "Machine Learning Predicts Large Scale Declines in Native P...
Contains data and code for peer review of the draft manuscript 'Two dominant forms of multisite simi...
Datasets and code used in analyses of Christie et al. (forthcoming). Quantifying and addressing the ...
This item contains the data and code used to produce the results of the published study.</p
This is code (and simulated data from that code) to assess how sample size and the numbers of levels...
These data and code were used to generate the publication "Predator-induced transgenerational plasti...
Associated data and analyses code for the publication: Heath, Sacha K. and R. F. Long. 2019. Multis...
This repository contains the data and code needed to reproduce the results and figures in the articl...
All R code used to analyze the data presented in the Bradford, Veen et al. manuscript titled, "Testi...
Content of the repository Data: the folder data contains The raw and processed data files ...
General InformationSee the 'ReadMe.md' in the root directory of this fileset for information on runn...
This deposit includes the numerical data (code and dataset) used to generate the results displayed i...
This analysis assesses the way ecology journals handle code and software written for scientific rese...
Data, code, and metadata that can be used to reproduce the analyses underlying 'Environmental driver...
The repository contains code and data accompanying the paper "Toward Quantitative Metabarcoding" by ...
Replication code and data for the paper: "Machine Learning Predicts Large Scale Declines in Native P...
Contains data and code for peer review of the draft manuscript 'Two dominant forms of multisite simi...
Datasets and code used in analyses of Christie et al. (forthcoming). Quantifying and addressing the ...
This item contains the data and code used to produce the results of the published study.</p
This is code (and simulated data from that code) to assess how sample size and the numbers of levels...
These data and code were used to generate the publication "Predator-induced transgenerational plasti...
Associated data and analyses code for the publication: Heath, Sacha K. and R. F. Long. 2019. Multis...
This repository contains the data and code needed to reproduce the results and figures in the articl...
All R code used to analyze the data presented in the Bradford, Veen et al. manuscript titled, "Testi...
Content of the repository Data: the folder data contains The raw and processed data files ...
General InformationSee the 'ReadMe.md' in the root directory of this fileset for information on runn...
This deposit includes the numerical data (code and dataset) used to generate the results displayed i...
This analysis assesses the way ecology journals handle code and software written for scientific rese...
Data, code, and metadata that can be used to reproduce the analyses underlying 'Environmental driver...
The repository contains code and data accompanying the paper "Toward Quantitative Metabarcoding" by ...
Replication code and data for the paper: "Machine Learning Predicts Large Scale Declines in Native P...
Contains data and code for peer review of the draft manuscript 'Two dominant forms of multisite simi...