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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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PaleoDA South America reconstruction

Authors: Choblet, Mathurin;

PaleoDA South America reconstruction

Abstract

This repository contains the reconstruction data ase presented in "A continental reconstruction of hydroclimatic variability in South America during the past 2000 years", submitted to Climate of the Past in February 2024 [https://egusphere.copernicus.org/preprints/2024/egusphere-2024-545/]. The data can be used to reproduce the Figures of the manuscript using the code in the accompanying Github repository: https://github.com/mchoblet/paleoda_sa/tree/main Origin of Files: See paper_experiments.ipynb in https://github.com/mchoblet/paleoda_sa/ Structure: The files were compressed for space reasons. Each ZIP files contains the reconstructions for a specic reconstruction configuration (normal error, same error, half error) and seasonality (annual, DJF). The error type refers to how the proxy record error was defined (see section 3.4 of the manuscript) and the seasonality The standard reconstruction is the annual normal error reconstruction. The Folder contains subfoldes for different types of reconstructions depending on the proxy data that was used as input (standard is all_proxies). Reconstructions have been performed for five different model priors (see input data here https://zenodo.org/uploads/10370001). I recommend using the multi-model reconstruction mean. 'Proxy_frac' indicates that in each Monte Carlo reconstruction (the mean of 50 iterations is saved) 80% of the proxy record data was used as input data. The structure of the files is relevant for the plotting scripts. Revision in July 2024: Due to the inclusion of a dozen more proxy records (11 historical indices and 1 lake sediment record), the results have (slightly) changed and needed to be updated.

Related Organizations
Keywords

commonera, speleothems, paleoclimate, holocene, dataassimilation, southamerica

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citations
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!
0
Average
Average
Average