README file
Data Set Title: “DOMES 3D scan of the Mausoleum of Oljaitu in Soltaniyeh”
Data Set Author/s: Lorenzo Vigotti (Università di Bologna), ORCID 0000-0002-3573-0949; 
Data Set Contributor/s: Lorenzo Vigotti (Università di Bologna), ORCID 0000-0002-3573-0949; Mahmood Panahy, Hadi Safaeipour (Shahid Beheshti University, Tehran) ORCID 0000-0001-7905-9731

Data Set Contact Person/s: Lorenzo Vigotti (Università di Bologna), ORCID 0000-0002-3573-0949; lorenzo.vigotti@unibo.it; 

Data Set License: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/

Publication Year: 2025
Project Info: DOMES (Architectural Technology Transfer on the Silk Road: Iranian Double-Shell Domes and the West: 14th to 20th Century), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 101111404, www.iraniandomes.eu 
Data set Contents
The data set consists of:
•	1 textual qualitative file saved in .pdf format 
“DOMES_3Dscan_Soltaniyeh_20251104_01.las”
•	1 README file 
“DOMES_3Dscan_Soltaniyeh_20251104_01_README.rtf”

Data set Documentation
•	Abstract
Content of the files: 
File DOMES_3Dscan_Soltaniyeh_20251104_01.las contains the point cloud survey of the Mausoleum of Oljaitu for the DOMES project, version 01, published on 04 November 2025. 
File DOMES_3Dscan_Soltaniyeh_20251104_01_README.rtf contains the README file reffered to the point cloud survey of the Mausoleum of Oljaitu for the DOMES project, version 01, published on 04 November 2025. 

•	File specifics
A LAS file is a binary format used to store 3D point cloud data, most commonly collected by LiDAR (Light Detection and Ranging) systems. It contains individual points with attributes like X, Y, Z coordinates, intensity, and classification, along with metadata in a header block that describes the survey. This is an industry-standard format developed by the American Society for Photogrammetry and Remote Sensing (ASPRS) for the exchange and archiving of point cloud data.
The LAS file can be freely accessed using multiple softwares such as ArcGIS, QGIS, CloudCompare, Blaze#D, and online tools such as LAS Viewer by ACCA software, usable for free from https://www.accasoftware.com/en/las-viewer or dowloading the free LAS File Viewer by the Kansas University from https://www.kgs.ku.edu/stratigraphic/LAS/download.html