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Summarizing the state of the terrestrial biosphere in few dimensions

Authors: Kraemer, Guido; Camps-Valls, Gustau; Reichstein, Markus; Mahecha, Miguel D.;

Summarizing the state of the terrestrial biosphere in few dimensions

Abstract

This repository contains the data and a docker container to reproduce the analysis in Kraemer, G., Camps-Valls, G., Reichstein, M., & Mahecha, M. D. (2020). Summarizing the state of the terrestrial biosphere in few dimensions. Biogeosciences, 17(9), 2397–2424. https://doi.org/10.5194/bg-17-2397-2020 If you use this data and/or code, please cite the paper. This dataset is a subset of the DataCube v1.0.0 (https://www.earthsystemdatacube.net) plus a the FAPAR_tip dataset from DataCube v1.0.2 The code to reproduce the analysis can also be found in http://doi.org/10.5281/zenodo.3733783 and https://github.com/gdkrmr/summarizing_the_state_of_the_biosphere To run the docker container, import the container, extract the data, run the command below, and open your web browser to access the jupyter server. Modify the command below as necessary, for details please consult the documentation for docker and jupyter: PORT=8333 IP=0.0.0.0 docker run -it \ -v /path/to/data/low-res/:/home/science/summarizing_biosphere/data \ -v /path/to/results_and_temporary_files/:/home/science/summarizing_biosphere/results \ -p $PORT:$PORT \ summarizing_biosphere \ /home/science/.julia/conda/3/bin/jupyter \ notebook \ --port=$PORT \ --ip=$IP \ --no-browser

{"references": ["Kraemer, G., Camps-Valls, G., Reichstein, M., & Mahecha, M. D. (2020). Summarizing the state of the terrestrial biosphere in few dimensions. Biogeosciences, 17(9), 2397\u20132424. https://doi.org/10.5194/bg-17-2397-2020"]}

Keywords

Principal Component Analysis, Biosphere, Indicator

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
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10
3
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