PCI Archaeology

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Community-driven, free, open and transparent peer-review for #preprints in #Archaeology also @PCI_Archaeology@archaeo.social

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PCI Archaeology@pciarchaeology· 2d

1/3 New recommendation: Stephen A. Collins-Elliott (2026). Seriation and Joint Probability: Unifying Archaeological Dates in the Central Mediterranean, ca. 4th-1st c. BCE. V3 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the preprint: Locations of all sites which provided relative or absolute dating information for this paper.

Figure 3 from the preprint: Top row: the seriated matrices of contexts (rows) and find-types (columns) from Aleria, Lattes (ancient Lattara), and a mixture of shipwreck and other assemblages. Bottom row: plots of the CA/Procrustes-fit CA scores used to produce the seriations.

PCI Archaeology@pciarchaeology· 2d

1/3 New recommendation: Sanchez-Gomez, Odriozola, Garrido-Cordero, Sousa (2026). Machine Learning-based Provenance Analysis of Portuguese Chalcolithic Variscite: New Insights from n=170 Green Phosphate Beads. v3 recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the preprint: General map. Location of sites and green phosphate sources studied here: Necrópole de Alcalar (NdA, n= 65 ); Leceia (L, n= 37); Tholos do Barro (TdB, n= 32); Penha Verde (PV, n= 36).

Figure 3 from the preprint: Feature Importance Analysis. (A) RFECV showing model performance as a function of the number of selected features. Cross-validation accuracy plateaus at approximately 14 features, defining the VORTEX Distilled model. (B–D) SHAP plots illustrating local feature contributions for each geological source: Aliste (B), Gavá (C), and Encinasola (D). Each point represents one geological training sample; horizontal position indicates the SHAP value (impact on classification probability), and colour encodes the feature value (yellow = high, purple = low). For Aliste, low values of As and Mo produce positive SHAP contributions, while high Ca generates strong negative contributions. For Gavá, high Ca, Sr, and Ba are the principal positive drivers. For Encinasola, Ca, V, As, and K show the strongest influence.

Figure 5 from the preprint: Sensitivity analysis of provenance determinations across confidence thresholds . A: Solid lines (left axis) show the percentage of samples classified as uncertain per site; dashed lines (right axis) show homogeneity values. B: Heatmap of homogeneity values per site and threshold, with consensus source indicated on the right; the red rectangle highlights the baseline threshold. All sites maintain Aliste (PDLC) as the consensus source across all thresholds.

PCI Archaeology@pciarchaeology· 21d

1/3 New recommendation: Enzo Cocca, Roberto Montagnetti, Maurizio Cattani (2026). palimpsestR: An R Package for the Identification and Probabilistic Decomposition of Archaeological Palimpsests. V2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 8 from the preprint: VRPG: dominant phase per US polygon (gg_map, layer = ’phase’). US polygons are coloured by their dominant phase; individual finds are overlaid as points.

PCI Archaeology@pciarchaeology· Jul 14

1/3 New recommendation: Eythan Levy (2026). Detecting temporal relations in archaeology: model and algorithms. V2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the preprint: Full structure of implications between the temporal relations, expressed in the shape of a directed acyclic graph (DAG).

PCI Archaeology@pciarchaeology· Jul 6

Welcome the UISPP Journal as a new PCI-Friendly journal! They'll accept submissions after our recommendation, and will tell you quickly if they'll simply publish it as is, or give it a quick evaluation. The current list of PCI-Friendly journals is here: archaeo.peercommunityin.org/about/pci_fr... 🦣🏺

PCI Archaeology@pciarchaeology· Jul 4

1/4 New recommendation: Strohm et al. (2026). Bridging Interdisciplinary Research Data Management and Data Science through Modular Research Processes. V2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the preprint: Introductory overview of the Data Management and Data Science Platform (DMDSP), incorporating its environment of initiatives, communities, and infrastructure, as well as the core concept of Modular Research Processes and planned fields of activity.

PCI Archaeology@pciarchaeology· Jun 25

1/3 New recommendation: Thibaud Poigt, Kevin Parachaud (2026). Exploring Celtic Weighing Metrology through archaeological and written sources. V2 peer-reviewed and recommended by PCI #Archaeology hal.science/hal-05552237v2 🏺🧪🦣 #OpenScience #openaccess

Figure 4 from the preprint: Schematic representation of the way the currency bar from Danebury could have been weighed in regard with the weights analyzed and the two units (258 g and 309 g) around which they are organized

PCI Archaeology@pciarchaeology· Jun 19

1/3 New recommendation: A. M. H. Eriksen, O. Müller, H. H. Lading, D. Gregory (2026). Evaluating commercial DNA extraction kits for bacterial community profiling in waterlogged archaeological wood. V3 evaluated and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the preprint: A) A waterlogged wooden pole, which was part of a Neolithic fish trap was used in the experiment B) The pole was split longitudinally, and five samples were collected from different locations of one half. Each sample was divided into three portions and processed with one of the three DNA extraction kits: DNeasy PowerSoil Pro (DN), MagAttract PowerSoil Pro (MA), and Bead-Beat Micro AX Gravity (BB). Each portion was extracted in triplicate, yielding 45 extractions (plus 9 blanks).

PCI Archaeology@pciarchaeology· Jun 17

1/3 New recommendation: M. Bellat, A. Hatton, J. D. Orellana Figueroa (2026). Comparative review of recent developments in archaeological predictive models and automatic structure detection. V3 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 2 from the preprint: Number of publications per year between 2006 and 2024, split between ASDs and APMs (n = 84). In light blue, the articles published after 2021 accounted for more than 75% of the publications. Figure generated with R 4.5.0..

Figure 3 from the preprint: Tree map of the different models used and their related family/group (n = 128). APM papers are highlighted by an orange rectangle. Figure generated with R 4.5.0 and modified with Inkscape.

PCI Archaeology@pciarchaeology· Jun 16

1/3 New recommendation: Angelos Tsilogiannis, Markos Konstantakis, Spyros Vosinakis (2026). Experimental interpretation of ancient games through playtesting. V4 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the preprint: The 10*9 board with the wooden bowls placed next to it. On the board are different formations and placements players would experiment with.

Figure 2 from the preprint: Diagram that shows the sequence of play sessions that constitute a Lineage

PCI Archaeology@pciarchaeology· Jun 11

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.

PCI Archaeology@pciarchaeology· Jun 11

Struggling with PCI’s process? We broke it down into 4 simple steps. Time to share your archaeological discoveries for free evaluation and publication!😀 🧪🏺🦣

PCI Archaeology@pciarchaeology· Jun 4

1/3 New recommendation: Ooha L. Reddy (2026). Quantifying Structural Similarity between Indus and Tibetan–Yi Scripts Using Hybrid Vision Embeddings. V5 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 2 from the preprint: Approximate temporal ranges of the script traditions considered. The gap between the Indus corpus and later Tibetan–Yi Corridor pictographic systems motivates a test of persistent visual conventions rather than assumptions of continuous textual transmission

Figure 5 from the preprint: Script‐level similarities to Indus in the Indus‐trained embedding space (ensemble mean with variability across seeds). Points show mean cosine similarity between each corpus and the Indus corpus after ensemble averaging.

PCI Archaeology@pciarchaeology· Jun 2

Do not forget that you can have your research evaluated transparently and for free with our platform and our community of more than 200 researchers, before publishing it also for free in a diamond open access journal @peercomjournal.bsky.social Hope we can handle your next paper!🏺🧪🦣

PCI Archaeology@pciarchaeology· May 30

1/3 New recommendation: Simon Bickler & Benjamin Davies (2026). Virtual Vaka: A Computational Tool for Thinking About Seafaring. V4 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the manuscript: Main view of the online version of Virtual Vaka.

Figure 2 from the manuscript. Drift voyages from San Cristobal in mid-August (20 days, 1994-1999, top) with bottom figure showing a simulation output of one example in more detail with relation to leeward effects (blue arrows) and current (red arrows) acting at points along the route. Island targets in green showing 0.2˚ (~22km around the equator) buffer.

PCI Archaeology@pciarchaeology· May 26

1/3 New recommendation: Despoina Tsiafaki, Natasa Michailidou, Melpomeni Karta, Vasiliki Syrakouli (2026). Pioneering Preventive Preservation: The role of remote sensing in Cultural Heritage. V2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 1 from the manuscript: A map of the ARGUS pilot case studies.

PCI Archaeology@pciarchaeology· May 13

1/3 New recommendation: Haley Anne Schwartz & Tania González Cantera (2026). Gimme! Gimme! Gimme! (A Reliable Access Method for ChatGPT 4o in Archaeological Heritage Prompting). V3 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figures 1, 2, and 3 from the manuscript: LDA results for the heritage tourism topic, obtained from the OpenAI, ELM, and Replit platforms, respectively.

PCI Archaeology@pciarchaeology· May 12

1/3 New recommendation: Peppa, Moullou, Egglezos (2026). Resilience of the Roman Balneum in the face of Climate Change at Brexiza, Greece: Unravelling Pathology, Advancing Risk Assessment Methodologies and Adapting Preservation Strategies. V3 recommended by PCI #Archaeology doi.org/10.5281/zeno...

Figure 7 from the manuscript: Details of deterioration. Clockwise starting left: Flooded corridors, semi collapsed arches, tensile wall 110 cracks, shifts in marble flooring due to soil-settlement, partial floor collapse in main room.

Figures 8, 9, 10 from the preprint: Projected Climate Hazard Indices for 2021-2030, 2041-2050, and 2091-2100 respectively, under RCP4.5 and RCP8.5.The radar chart shows trends in the various climate hazard indices proposed by Kapsomenakis et al. (2022).

PCI Archaeology@pciarchaeology· May 5

1/3 New recommendation: Chatzisavvas, Pappas, Rigas, Mitianoudis, Pavlidis, Kiourt, Koutsoudis, Katsouros & Ioannakis (2026). Towards an Easy-to-Use Machine Learning Framework for Cultural Heritage Scientists. V3 peer-reviewed & recommended by PCI #Archaeology doi.org/10.5281/zeno... #OpenScience

Figure 1 from the manuscript: The architecture of the proposed framework. The framework implements an end-to-end pipeline that spans from dataset creation and annotation to model training and inference. User interactions are managed through a web interface which provides options for data upload, training configuration and inference. Dataset creation is supported by the CVAT annotation tool, while experiment tracking and automated hyperparameter tuning are performed through Kubeflow and Katib. In the postprocessing phase, the best-performing model from each experiment is stored for subsequent inference.

PCI Archaeology@pciarchaeology· Apr 25

1/3 New recommendation: Thomas Andre, Christophe Tufféry, Vincent Delvigne (2026). Siligîtes: a QGIS extension to investigate mobility networks in archaeology. V3 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Visual abstract of the manuscript, showing knapped material and networks

Figure 12 from the manuscript: Top (1a and 1b): comparison of networks created using Movecost tools (left) and straight lines (right). Bottom: comparison of the sub-networks linked to the site of the Combe Cullier, obtained based on points representing polygons: straight lines (2a) and LCPs (2b) to reach the centroids of the polygons, LCPs to reach closest points (2c) and the furthest point (2d) of the polygons.
Archaeological sites (black rings) and deposits (white circles) are represented with the white circle, while the different edges are classified according to their length, from white (shortest) to red (longest)

PCI Archaeology@pciarchaeology· Apr 22

1/3 New recommendation: S. Gampe, K. Tolle, C. von Nicolai, M. Möller (2026). Supporting a Celtic coin die study with image matching and hierarchical clustering for creating a social networks analysis. v3 reviewed & recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 3 from the preprint: Schematic representation of both coin die studies pipelines.

PCI Archaeology@pciarchaeology· Apr 9

1/3 New recommendation: @alainqueffelec.bsky.social (2026). Replication report for Marwick (2025) “Is archaeology a science?”, including new data from OpenAlex. V5 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figure 2 from the preprint: Comparison of Web of Science (Wos), OpenAlex (OA), and OpenCitations (OC) data for the articles present in the three datasets. A. Number of authors, B. Length of the title, C. Number of pages, D. Attributed year, E. Number of references. For each plot, a dashed-line represents y = x.

PCI Archaeology@pciarchaeology· Mar 30

1/3 New recommendation: E. Tzannidakis, D. Egglezos, D. Moullou (2026). Vulnerability of Monumental Structures to Climate Change The Cases of “Building K” in Epidaurus and the Roman Balneum in Rafina. v4 reviewed & recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Views of the masonry “Pier” of a now collapsed dome, view of the so-called “Crypt” and of the bath complex

PCI Archaeology@pciarchaeology· Mar 25

1/3 New recommendation: Nikos Tsironis and Angeliki Chrysanthi (2026). Nekyia: Descent into Hades – A case study on playing with the Past through Serious Games. V2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

PCI Archaeology@pciarchaeology· Mar 25

1/3 New recommendation: Asja Müller and Martin Kim (2026). Press Play to Enter: Serious Gaming and the Body at the Asklepieion of Kos. v2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣

Figure 3 from the preprint: Screenshot from the serious game used as an example of an observation of the procession entry from the middle terrace of the Asklepieion of Kow (early afternoon).

Figure 8 from the preprint: Screenshot from the serious game used as an example of an observation of the sacrifices from the intermediate terrace (sunset).

PCI Archaeology@pciarchaeology· Mar 24

1/3 New recommendation: Tronchère-Cottet,Pothier, Dessaint, Obrecht (2026) The “fish-bone galleries” of Lyon, France: combining archaeological and geological 3D modelling to understand a mysterious ancient underground structure. v4 recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪

Figures 8 from the preprint: LIDAR scanning of the modern remains (A) and reconstruction of the ancient initial layout of the galleries, wells and other lost sections (B)

Figure 9 from the preprint: Stratigraphical layers of the Croix-Rousse hill and location of the fish-bone galleries: A: Topographical surface B: Top of the till layer C: Top of the Pliocene silts layers D: Top of the Miocene molasses layer E: Top of the conglomerate clays layer

PCI Archaeology@pciarchaeology· Mar 23

1/3 New recommendation: Kyriakos Sgouropoulos, Periklis Chrysafakoglou, Ilias Ladenis (2026). Crossing software boundaries: From iDig and ODK to QField for archaeological field documentation. v2 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 #OpenScience #openaccess

Figures 1 & 2 from the preprint: Digital documentation in the field with iDig during Paradimi excavation

Figures 3 & 4 from the preprint: QField interface used during Palaiopolis excavation

PCI Archaeology@pciarchaeology· Mar 19

1/3 New recommendation: Melina K. Grigoriadi, Georgios Papaioannou (2026). Spatiotemporal reconstruction of pot burial excavations. V3 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣

Figure 2 from the preprint: Pot burial N.103 at the laboratory, before the excavation of its contents.

Figure 3 from the paper: Interactive application screenshots showing the steps of the excavation. Each step of the slider corresponds to an excavation level.

PCI Archaeology@pciarchaeology· Mar 17

1/3 New recommendation: David Roqui, Adèle Cormier, Nistor Grozavu, Ann Bourges (2026). A Multimodal Approach to Heritage Preservation in the Context of Climate Change. V4 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣 @fdsciencpatrimoine.bsky.social

Figure 1 from the preprint – Diagram of the dataset acquired on the Strasbourg Cathedral

Figure 4 from the preprint – Architecture overview of the analysis workflow

PCI Archaeology@pciarchaeology· Mar 13

1/3 New recommendation: Amélie Demoulin, Carine Perrin, Odile Guillon, Valérie Gontero-Lauze, Jean Rouquerol, Florence Boulc’h (2026). Reconstructing a medieval recipe for red lead (Pb₃O₄): an archaeometric approach). V3 peer-reviewed and recommended by PCI #Archaeology doi.org/10.5281/zeno... 🏺🧪🦣

Figure 1 from the manuscript: Thermal decomposition of lead carbonate monitored by Controlled Transformation Rate Thermal Analysis (CTRA).

$Figure 4 from the manuscript: In situ X-ray diffraction of lead carbonate during heating from room temperature to 650°C, illustrating the four steps observed in the CTRA curve.$