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The fortedata R package: open-science datasets from a manipulative experiment testing forest resilience.

Authors :
Atkins, Jeff W.
Agee, Elizabeth
Barry, Alexandra
Dahlin, Kyla M.
Dorheim, Kalyn
Grigri, Maxim S.
Haber, Lisa T.
Hickey, Laura J.
Kamoske, Aaron G.
Mathes, Kayla
McGuigan, Catherine
Paris, Evan
Pennington, Stephanie C.
Rodriguez, Carly
Shafer, Autym
Shiklomanov, Alexey
Tallant, Jason
Gough, Christopher M.
Bond-Lamberty, Ben
Source :
Earth System Science Data Discussions. 9/10/2020, p1-18. 18p.
Publication Year :
2020

Abstract

The fortedata R package is an open data notebook from the Forest Resilience Threshold Experiment (FoRTE) – a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics in a temperate forest. Package data consists of measurements of carbon pools and fluxes and ancillary measurements to help users analyse and interpret carbon cycling over time. Currently the package includes data and metadata from the first two years of FoRTE, and serves as a central, updatable resource for the FoRTE project team and is intended as a resource for external users over the course of the experiment and in perpetuity. Further, it supports all associated FoRTE publications, analyses, and modeling efforts. This increases efficiency, consistency, compatibility, and productivity, while minimizing duplicated effort and error propagation that can arise as a function of a large, distributed and collaborative effort. More broadly, fortedata represents an innovative, collaborative way of approaching science that unites and expedites the delivery of complementary datasets in near real time to the broader scientific community, increasing transparency and reproducibility of taxpayer-funded science. fortedata is available via GitHub: https://github.com/FoRTExperiment/fortedata and detailed documentation on the access, used, and applications of fortedata are available at: https://fortexperiment.github.io/fortedata/. The first public release, version 1.0.1 is also archived at: https://doi.org/10.5281/zenodo.3936146 (Atkins et al., 2020b). All level one data products are also available outside of the package as .csv files: https://doi.org/10.6084/m9.figshare.12292490.v3 (Atkins et al. 2020c). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663591
Database :
Academic Search Index
Journal :
Earth System Science Data Discussions
Publication Type :
Academic Journal
Accession number :
145688886
Full Text :
https://doi.org/10.5194/essd-2020-112