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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Project BioDyn: compilation of long-term (>20yrs) community timeseries data from terrestrial and freshwater realms

Authors: Shyamolina Ghosh; Blake Matthews; Sarah R. Supp; Roel van Klink; Francesco Pomati; James A. Rusak; Imran Khaliq; +7 Authors

Project BioDyn: compilation of long-term (>20yrs) community timeseries data from terrestrial and freshwater realms

Abstract

The given dataset was compiled for n=2668 communities (242 study IDs in total, see the metadata file) across terrestrial and freshwater realms (terrestrial birds: n=1259, invertebrates: n=124, plants: n=435, and mammals: n=136, freshwater fish: n=587, invertebrates: n=112, and phytoplankton: n=15). Community timeseries include species-level abundance (or biomass in 15% of cases) and a minimum of 20 years sampled. We have compiled this data and used it for the first time to analyze how community stability and its drivers (species richness, overall synchrony, and tail-dependent synchrony) would differ across realms.

The authors thank David Vasseur for getting the requested data from a published article with no open data. We thank the ETH Board for funding through the Blue-Green Biodiversity (BGB) Initiative 2020, the Seehausen/Eawag lab and European Research Council under the European Union's Horizon 2020 research and innovation program (grant agreement No 787638) granted to Catherine H. Graham. We would like to thank the large number of scientists and volunteers that contributed to long-term data collection, and the data providers who chose to openly publish and share their datasets for continued analysis.

Keywords

Mammals, Community timeseries, Terrestrial, Plants, Long-Term Eclogical Research, Zooplankton, Birds, Freshwater, Fish, Abundance, Phytoplankton, Biomass

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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