Skip to main content
zenodoopen

Supplementary Information and data for: "Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina"

<p>This repository contains the supplementary information and raw data annexed to the manuscript "<em>Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina</em>", authored &nbsp;by Karla Rubio-Sandoval et al. and submitted for consideration in the journal Quaternary Science Reviews.</p> <p>The folder contains the following items.</p> <p><strong>1. Raw_data.xlsx</strong><br>This is an excel file that includes all survey and analytical data in several sheets, briefly described hereafter.</p> <p>- <em>GNSS data</em>. Data surveyed with differential GNSS in the field.<br>- <em>Sea level index points</em>. Datapoints used as sea-level index points, and associated calculations of paleo Relative Sea Level.<br>-&nbsp;<em>AAR Summary</em>. Table summarising the main results of the AAR analyses.<br>- <em>AAR complete sheet</em>. The complete set of analytical data done for the Amino Acid Racemization dating.<br>-&nbsp;<em>Radiocarbon data</em>. The analytical results of radiocarbon dating.<br>- <em>Literature ages</em>. A compilation of the Electron Spin Resonance and U-series ages published for the Camarones site.<br>-&nbsp;<em>Transects</em>. Topographical transects extracted from the TanDEM-X Digital Elevation model and referred to the GEOIDEAR 16 geoid.<br>- <em>Distance plot</em>. Data for plotting Relative Sea Level vs distance along the coast of the sea-level index points described in the manuscript.</p> <p><strong>2. Holocene (folder)</strong><br>This folder contains two excel files ("Area_Camarones_Accepted.xlsx" and "Area_Camarones_Rejected.xlsx") that include the Holocene data described in the paper compiled following the standard HOLSEA template.</p> <p><strong>3. Runup_modelling</strong><br>This folder contains three folders, each with a Jupyter notebook (.ipynb) and datasets to perform the runup calculations described in the manuscript.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8

Topics