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Reposted by Jasmine Vieri

PCI Archaeology @pciarchaeology.bsky.social · 11/06/2026

1/3 New recommendation: A. Disser, S. Bauvais, T. Huet, L. Costa, M. Leoni, T. Birch, P. Dillmann (2026). The CHIPS Database: A Repository for Reference Data on Chemical Analysis in Archaeometallurgy of Iron. V4 recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 2 from the manuscript: Example of chemical data vizualisation for a sample coming from the ‘Noires Terres’ archaeological context (blue marker highlighted on the cartographic view).

Figure 3 from the preprint: Two views of the CHIPS dashboard (https://iramat-apps.cnrs.fr/dash/). Top: Landing page of the CHIPS dashboard, showing the spatial distribution of CHIPS interoperable (API-based) datasets. Bottom: A selection from the dataset by Grzegorz Żabiński et al. (2023), displayed as a Plotly line chart in log10 scale (https://iramat-apps.cnrs.fr/dash/dataset_gzabinski23). This dashboard page also provides access to the raw data from Grzegorz Żabiński et al. (2023) in JSON format (http://157.136.252.188:3000/dataset_gzabinski23), and allows filtering by site and sample.

Figure 1 from the manuscript. Simplified MCD of the CHIPS DB.

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

El material suplementario incluye un resumen extendido en español: ars.els-cdn.com/content/imag...

ars.els-cdn.com

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

All of the data and code are fully reproducible and publicly available on a dedicated repository: github.com/jmkvieri/BBLoP Funded by AHRC, ERC (@reverseaction.bsky.social), and the Osk. Huttunen foundation.

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

6️⃣The new modelling tools are readily applicable beyond archaeometallurgy, e.g, to compositional studies on ceramics or glass, or even to modelling the variability of diets in isotopic studies

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

5️⃣The new tools were applied to the study of Muisca goldwork from pre-Hispanic Colombia (AD 600-1600). The findings suggest the intra-regional circulation of imported gold, with people pooling metals from a variety of geological sources for communal festivities.

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

4️⃣Hierarchical (multilevel) model specifications can simultaneously consider both local and regional patterns in past craft production activities, whilst also accounting for sampling uncertainty. Think of it as zooming in and out on the past!

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

3️⃣Variability in dispersion can tell us about behavioural factors in the past—like centralised control over resources or local improvisation. For example: High dispersion ➡️ decentralised or improvised production Low dispersion ➡️ more standardised practices

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

2️⃣Compositional averages are often used to identify the desired performance characteristics of materials or in reconstructing artefact provenance. But what if compositional dispersions are just as revealing? We move beyond averages in explicitly defining 4 main sources of compositional variability

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Jasmine Vieri @jasminevieri.bsky.social · 12/12/2024

1️⃣Compositional data are often skewed and heteroskedastic, making them challenging to model. Traditional approaches within archaeology, such as simple linear regression on log-transformed data, can make numerically impossible predictions. Beta regression is shown to be a more robust alternative

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