mrsoil

Package contains soil organic carbon cycling model based on IPCC Guidelines 2019 for data prepared in the madrat universe.

https://github.com/pik-piam/mrsoil

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 7 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Package contains soil organic carbon cycling model based on IPCC Guidelines 2019 for data prepared in the madrat universe.

Basic Info
  • Host: GitHub
  • Owner: pik-piam
  • License: lgpl-3.0
  • Language: R
  • Default Branch: main
  • Size: 342 KB
Statistics
  • Stars: 3
  • Watchers: 6
  • Forks: 5
  • Open Issues: 1
  • Releases: 2
Created about 6 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

MadRat Soil Organic Carbon Budget Library

R package mrsoil, version 2.3.6

CRAN status DOI R build status codecov r-universe

Purpose and Functionality

This packages provides functions for soil organic carbon budget for mineral soils using the steady-state method (Tier 2) of the 2019 Refinement to the 2006 IPP Guidelines for National Greenhouse Gas Inventories.

Installation

For installation of the most recent package version an additional repository has to be added in R:

r options(repos = c(CRAN = "@CRAN@", pik = "https://rse.pik-potsdam.de/r/packages")) The additional repository can be made available permanently by adding the line above to a file called .Rprofile stored in the home folder of your system (Sys.glob("~") in R returns the home directory).

After that the most recent version of the package can be installed using install.packages:

r install.packages("mrsoil")

Package updates can be installed using update.packages (make sure that the additional repository has been added before running that command):

r update.packages()

Questions / Problems

In case of questions / problems please contact Kristine Karstens karstens@pik-potsdam.de.

Citation

To cite package mrsoil in publications use:

Karstens K, Dietrich J (2025). "mrsoil: MadRat Soil Organic Carbon Budget Library." doi:10.5281/zenodo.4317933 https://doi.org/10.5281/zenodo.4317933, Version: 2.3.6, https://github.com/pik-piam/mrsoil.

A BibTeX entry for LaTeX users is

latex @Misc{, title = {mrsoil: MadRat Soil Organic Carbon Budget Library}, author = {Kristine Karstens and Jan Philipp Dietrich}, doi = {10.5281/zenodo.4317933}, date = {2025-04-09}, year = {2025}, url = {https://github.com/pik-piam/mrsoil}, note = {Version: 2.3.6}, }

Owner

  • Name: Potsdam Integrated Assessment Modelling (PIAM)
  • Login: pik-piam
  • Kind: organization
  • Location: Potsdam Institute for Climate Impact Research (PIK), Germany

Tools developed for use with data and models related to PIK's research.

Citation (CITATION.cff)

cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
type: software
title: 'mrsoil: MadRat Soil Organic Carbon Budget Library'
version: 2.3.6
date-released: '2025-04-09'
abstract: This packages provides functions for soil organic carbon budget for mineral
  soils using the steady-state method (Tier 2) of the 2019 Refinement to the 2006
  IPP Guidelines for National Greenhouse Gas Inventories.
authors:
- family-names: Karstens
  given-names: Kristine
  email: karstens@pik-potsdam.de
- family-names: Dietrich
  given-names: Jan Philipp
  email: dietrich@pik-potsdam.de
license: LGPL-3.0
repository-code: https://github.com/pik-piam/mrsoil
doi: 10.5281/zenodo.4317933

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
  • Pull request event: 2
  • Fork event: 3
  • Create event: 1
Last Year
  • Watch event: 1
  • Push event: 2
  • Pull request event: 2
  • Fork event: 3
  • Create event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 159
  • Total Committers: 2
  • Avg Commits per committer: 79.5
  • Development Distribution Score (DDS): 0.082
Past Year
  • Commits: 36
  • Committers: 1
  • Avg Commits per committer: 36.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Kristine Karstens k****s@p****e 146
Jan Philipp Dietrich d****h@p****e 13
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 0
  • Total pull requests: 6
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 months
  • Total issue authors: 0
  • Total pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 4
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
Pull Request Authors
  • pre-commit-ci[bot] (6)
  • whitehacker (1)
  • codeZeilen (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/lucode2-check.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
DESCRIPTION cran
  • R >= 2.10.0 depends
  • madrat >= 1.86.0 depends
  • magclass >= 5.15.4 depends
  • mrcommons >= 0.11.9 depends
  • mrmagpie >= 0.35.0 depends
  • mrvalidation >= 2.4.3 depends
  • jsonlite * imports
  • lpjclass * imports
  • magpiesets * imports
  • ncdf4 * imports
  • readxl * imports
  • reshape2 * imports
  • stringr * imports
  • utils * imports
  • xml2 * imports
  • covr * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • rmarkdown * suggests