This readme file was generated on [2026-04-05] by [MARTA DIAZ-GUARDAMINO]


GENERAL INFORMATION

Title of Dataset: Rock Art Boat Depictions in Northwest Iberia: Digital Dataset Collection (3D, TVT, RTI)

Author/Principal Investigator Information
Name: Marta Diaz-Guardamino
ORCID: 0000-0002-7641-300X
Institution: Department of Archaeology, Durham University
Address: South Road, DH1 3LE Durham, United Kingdom
Email: marta.m.diaz-guardamino@durham.ac.uk

Author/Associate or Co-investigator Information
Name: Boel Bengtsson
ORCID: 0009-0004-9170-5280
Institution: Department of Historical Studies, University of Gothenburg 
Address: Gothenburg
Email: bessemer.clark.boel@gu.se

Date of data collection: 2021 

Geographic location of data collection: Portugal (regions of Viana do Castelo and Braga), and Spain (provinces of Pontevedra and Ourense, in Galicia)

Information about funding sources that supported the collection of the data: 

This research was conducted within the following projects:
(1) “RAW - Rock Art, Atlantic Europe, Words, and Warriors”, funded by Vetenskapsrådet (Swedish Research Council) (Ref. 2018-01387).
(2) “Maritime Encounters project”, funded by the Riksbankens Jubileumsfond (Ref. M21-0018).
(3) “Rock Art Virtual Corpus of Northwestern Portugal, funded by Lab2PT (Laboratory of Landscapes, Heritage and Territory) (Ref. CVARNProject 2018/Lab2PT).
(4) “Signs of the past in a changing landscape: segmented circles in the Iberian Northwest”, funded by the Fundação para a Ciência e a Tecnologia (FCT-2023.01960.BD).

SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: CC BY 4.0

Links to publications that cite or use the data: Díaz-Guardamino, M., Bengtsson, B., Newton, E., Bettencourt, A., Ling, J., Latorre-Ruiz, J., Sampaio, H.A. & Marinho, D. 2026. Boats on the Rocks: Late Prehistoric Nautical Iconography and Landscape, from Northwest Iberia to Scandinavia. PLoS One. 

Recommended citation for this dataset: Díaz-Guardamino, M. (2026) Rock Art Boat Depictions in Northwest Iberia: Digital Dataset Collection (3D, TVT, RTI). Durham University.  (dataset).  DOI:  http://doi.org/10.15128/r38049g505t


DATA & FILE OVERVIEW

File List: 

<list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>

Auga dos Cebros 3Dscan [dataset]
Penedo do Muro 1 3Dscan [dataset]
Penedo do Muro 2 3Dscan [dataset]
Santo Adriao 2 3Dscan [dataset]
Santo Adriao XL Boat 3Dscan [dataset]
Eira do Louvado 3Dscan [dataset]
Auga dos Cebros SfM 3D model [dataset]
Auga dos Cebros SfM 3D texture [dataset]
Santo Adriao SfM 3D model [dataset]
Santo Adriao SfM 3D texture [dataset]
Penedo do Muro 1 SfM 3D model [dataset]
Penedo do Muro 2 SfM 3D model [dataset]
Penedo do Muro 2 SfM 3D texture [dataset]
Senhora Encarnaçao 1 SfM 3D model [dataset]
Laje da Churra 6 SfM 3D model [dataset]
Eira do Louvado RTI [dataset]
Penedo do Muro 2 Enhanced Visualization Colour [dataset]
Auga dos Cebros Enhanced Visualization Colour [dataset]
Santo Adriao XL Boat Enhanced Visualization Colour [dataset]
Santo Adriao 2 Enhanced Visualization Colour [dataset]
Santo Adriao XL Boat Enhanced Visualization Grey [dataset]
Santo Adriao 2 Enhanced Visualization Grey [dataset]
Penedo do Muro 2 Enhanced Visualization Grey [dataset]
Penedo do Muro 1 Enhanced Visualization Colour [dataset]
Penedo do Muro 1 Enhanced Visualization Grey [dataset]
Eira do Louvado Enhanced Visualization Colour [dataset]
Auga dos Cebros Enhanced Visualization Grey [dataset]
Laje da Churra 6 Enhanced Visualization Colour [dataset]
Laje da Churra 6 Enhanced Visualization Grey [dataset]
Eira do Louvado Enhanced Visualization Grey [dataset]

METHODOLOGICAL INFORMATION

Description of methods used for collection of / processing the data: 

3D scans were captured with a Handyscan 700 red-light laser scanner. 

SfM 3D models were created from HD photos (36 MP) taken with a full frame D810 Nikon and processed with Agisoft Metashape. 

RTI was created from HD photos (36 MP) taken with a full frame D810 Nikon with the H-RTI capture method and processed with Relight (https://vcg.isti.cnr.it/vcgtools/relight/)

Enhanced surface visualizations were generated from 3D models with the Topography Visualisation Toolbox (TVT, https://tvt.dh.gu.se/)