Evidence map›Paper›PMID 41561928›Full record

ArticleData in brief2026

3D imaging dataset of the human skeletal collection from Lucus Feroniae (Rome, Italy, 1st-3rd century CE).

Barbara Coletti, Giulia Formichella, Carlotta Zeppilli, Antonio Profico, Giorgio Manzi, Ileana Micarelli

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Barbara ColettiDepartment of Environmental Biology, Sapienza University of Rome, Rome 00185, Italy.
Giulia FormichellaDepartment of Environmental Biology, Sapienza University of Rome, Rome 00185, Italy.
Carlotta ZeppilliDepartment of Biology, University of Pisa, Pisa 56127, Italy.
Antonio ProficoDepartment of Biology, University of Pisa, Pisa 56127, Italy.
Giorgio ManziDepartment of Environmental Biology, Sapienza University of Rome, Rome 00185, Italy.
Ileana MicarelliDepartment of Environmental Biology, Sapienza University of Rome, Rome 00185, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a bioarchaeological dataset comprising high-resolution computed tomography (CT) scans of human skeletal remains from the Roman site of Lucus Feroniae (central Italy), dated to the Imperial period, specifically from the 1st to the 3rd century CE. The dataset was developed to systematically document and digitally preserve the morphological characteristics of the skeletal assemblage. A total of 45 CT scans, corresponding to 19 individuals, were acquired from osteological collections preserved at the Museum of Anthropology "Giuseppe Sergi" (Sapienza University of Rome). Each scan is associated with a unique alphanumeric identifier (ID_INDIVIDUAL), linking the CT-derived morphological data with the corresponding bioarchaeological information and the georeferenced place of recovery. The CT scans provide volumetric datasets suitable for three-dimensional reconstruction and geometric morphometric analyses. All digital files were processed and archived following standardised protocols for data management, metadata recording, and long-term digital preservation. Beyond its technical and scientific relevance, the dataset was conceived within an ethically reflexive framework that recognises human remains as the material testimony of once-living individuals. The project aims to promote equitable access to knowledge while ensuring respect for the persons represented by the skeletal materials. By adopting non-invasive imaging methods, this initiative minimises physical handling and potential damage to fragile or unique specimens, aligning with current standards for ethically sustainable research in bioarchaeology and virtual anthropology. Open data access in this context is not only a scientific requirement but also an ethical commitment: transparency, reproducibility, and responsible reuse contribute to a more inclusive and accountable discipline. The availability of these digital resources through the open-access platform MorphoSource ensures that the CT scans can be downloaded and reanalysed, fostering collaboration and methodological consistency across institutions. This open repository, including the dataset presented in this paper, was developed within the framework of the CHANGES Project (Cultural Heritage Active Innovation for Next-Gen Sustainable Society), funded under the National Recovery and Resilience Plan (PNRR). It represents an important step toward integrating ethical awareness into digital heritage practices. It provides an essential digital archive for exploring skeletal variability, health, and living conditions among the inhabitants of Lucus Feroniae, while serving as a model for open, reproducible, and ethically responsible sharing of bioarchaeological 3D data.

Indexed as

CT-scanGeoreferenced dataVirtual anthropologyVirtual archaeological skeletal collection

Identifiers

PMID41561928
PMCPMC12813351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.