Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 468 Results
On-Site Robotic Adhesive Bonding(Universität Stuttgart)
Sep 30, 2026Lights-Off On-Site Timber Construction
This Dataverse contains the software, hardware design resources, and experimental data developed for a multi-robot construction system for the automated on-site adhesive bonding of prefabricated cross-laminated timber (CLT) floor panels. The system combines a digitally controlled tower crane with compact robots temporarily embedded within the panel...
Sep 28, 2026
The Using Wood Well (UWW) project investigates the use of timber in construction, with the aim of improving material efficiency and supporting circular economy principles. The project analyses building data at multiple scales, ranging from whole-building timber volumes to frame- and floor-level material composition, and develops metrics for assessi...
Tabular Data - 151.9 KB - 22 Variables, 240 Observations - UNF:6:NOZENC/TgjE+aRQsa/u0fQ==
Contains complementary project metadata for the 240 multi-storey timber buildings. The file provides a summary of key project information and classification variables, standardized country identifiers, documentation availability indicators (drawings, photographs, videos, reports, books), and source references. It supports filtering and evaluation o...
Lights-Off On-Site Timber Construction(University of Stuttgart)
Sep 3, 2026
The research aims to develop core technologies for automated on-site timber construction with a primary focus on automating the on-site positioning, joining, and gluing of large-scale timber elements. In recent decades, the timber construction industry has significantly gained importance and competitiveness through the development of digital proces...
ZIP Archive - 1.1 GB - MD5: 46dae7b31080431a7267073671d85ce8
Material Programming(Universität Stuttgart)
Jul 22, 2026
This dataverse provides datasets, documentation, and research outputs generated as part of the research conducted by the Material Programming Research Group at the Institute for Computational Design and Construction (ICD), University of Stuttgart. It covers research on programmable material systems, self-shaping structures, and their computational...
Unknown - 2.2 MB - MD5: 872cef509dee8c8b912f90bfb58b8d30
Unknown - 2.2 MB - MD5: 82628c7c04968e1e5473a5a2cb344918
Unknown - 44 B - MD5: aad3d560a114fb7a194b50584959687b
Unknown - 93.7 KB - MD5: 5258e60efac0215877d990c5330ef867
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.