Yoda Data Publication Platform of Utrecht University
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CT-optimal tactile imagery - data and analyses files
This dataset contains all data required to replicate the results presented in the manuscript 'The Power of Tactile Imagery: parallels between imagined and physical CT-optimal touch' authored by dr. Renee Lustenhouwer and dr. Larissa L. Meijer.
All data processing was carried out in Python v 3.13. Required python packages are listed at the top of the python script. We employed pleasantness data (numeric rating scale from 0-100) and imagery duration data (in milliseconds) for this study. The data is provided in the data subfolder. Analysis files are in the main directory. Raw data (in data folder) have been processed using the python script. The variables used for subsequent statistical analyses have been entered into the SPSS database file. Statistical analyses were ran using the SPSS Syntax file.
Contact person is dr. Renee Lustenhouwer - assistant professor - [email protected]
Multi-Dry Chapter 2; Exploring the Potential of LPJmL-5 to Simulate Vegetation Responses to (Multi-Year) Droughts
All processed LPJmL-5 output, SPEI and MODIS data required to reproduce the analysis.
The data is provided is the main folder and 5 subfolders. Detailed information about the files in these subfolders as well as information on how the data is processed is given in the explanatory file Readme.txt.
Contact person is Denise Ruijsch - [email protected]
Data Package for "Towards Tailored Metastability: Exploring Oxanorbornene Chemical Space for Structure-Stability Relationships with Atypical Furan Diels-Alder Adducts"
The data package contains the spectroscopic (NMR) and computational (DFT) data for this publication.
See the readme file for more detailed information
De Wit 2026 Groundwater and sea-level rise spatiotemporal interpolation input and output
This Geological Input data package belongs to chapters and articles
from PhD thesis work by Kim de Wit, within the NWA-LOSS project.
The geological input is used in 3D interpolation covering the Holocene coastal plain of the Netherlands.
The 3D interpolation code is stored separately, on GitHub.com.
The repository for recreating the 3D interpolation can be found at https://doi.org/10.5281/zenodo.18175831
The repository for filtering the output data and isolating a GIA subsidence signal can be found at https://doi.org/10.5281/zenodo.18176674
The geological input read by the interpolation code is partly in grid format, partly in point format.
The gridded data files, generated in GIS by Kim de Wit and most extensively documented in Chapter 3 of the thesis, are shared here. The point data (SLIPs, ULDs, ...) are contained in a separate database, in HOLSEA international standard format, published in January 2026 on Zenodo.org. The geological input repository here, for referral contains a placeholder folder with a readme.txt.
Contact person: Kim de Wit ([email protected]; [email protected]), data curation: Kim Cohen ([email protected]
Athena - Spot species in fine art
oai:10.24416/UU01-X93EULAn interdisciplinary approach is necessary to fully understand the impacts and consequences of human-nature dialogues. By collecting, combining and integrating information from different historical sources, scientists, policy makers and the broader public can more easily study and articulate changes in mutual relationships between socio-cultural and ecological systems. To this end a wide variety of historical, archaeological and ecological sources are brought together in ATHENA, from species distributions data to paintings, and from bestiaria to newspaper articles. Rather than concentrating on one specific event in time and space, ATHENA allows to study and understand human-nature interactions across temporal and spatial scales in order to gain a full understanding of its cumulative effects. By working with data from different disciplines information quality can be improved significantly.
Aim of the ATHENA project is to develop an internationally unique database allowing researchers from multiple scientific disciplines to study human-nature relationships in an interdisciplinary environment. The resulting database will provide a platform for large-scale, comparative (both in space and time) and multilevel studies of human-nature relationships. The development of the ATHENA database will advance the fields of research involved, and will strengthen high level interdisciplinary research on human – nature interactions.
Athena has started a crowdsourcing project to identify animal and plant species in the Rijksmuseum's painting collection. The Zooniverse platform was used for the first phase of the project. We asked volunteers to indicate per painting / print whether species from different "main groups" (mammals, fish, trees, etc.) were depicted.
In total, 4104 volunteers classified 105,239 paintings and prints through 528,518 individual interactions
ROBUST - Crisis Governance in Turbulent Times - Dutch dataset
ROBUST identifies a forward-looking ‘robustness’ approach to crisis governance that embraces the need for innovation and adaptation. To do so, 35 public value solutions to foster child wellbeing during COVID-19 were studied. These solutions were formulated and implemented across nine European countries. This dataset includes the data (i.e., interview notes and transcripts) for four public value solutions studied in the Netherlands
Cue-weighting in processing of prosodic boundaries in Dutch
The dataset 'Cue-weighting in Processing of Prosodic Boundaries in Dutch' is part of a PhD project on the development of prosodic phrasing before birth and in the first year of life. This project contributes to the broader research initiative 'SoundStart', which investigates early prosodic development. This specific study examined how adult native speakers of Dutch process intonational phrase (IP) boundaries, focusing on the weighting of different prosodic cues. Using EEG, we explored the neurophysiological response to prosodic boundaries, the Closure Positive Shift (CPS), under various cue conditions. EEG recordings were obtained from 30 adult native Dutch speakers while they listened to sequences of names connected by the coordinating conjunction 'en' (“and”), such as: "Moni en Lilli en Manu". These sequences were presented with or without an IP boundary following the second name, with the boundaries marked by various combinations of prosodic cues. The dataset includes raw EEG data, stimulus files, experimental scripts, statistical analysis scripts and experiment documentation. For further information and detailed findings, see: Geutjes et al. (in press). 'Cue-weighting in processing of prosodic boundaries in Dutch: an ERP study'. Psychonomic Bulletin & Review
Post-Polymerization Modification of Polyethylene through Photochemical Oximation and Consecutive Ketonization via an Iminoxyl Radical
The data package contains the spectroscopic data (NMR, FTIR & EPR), thermoanalytic data (TGA & DSC), chromatographic data (GPC), lap shear testing and tensile testing data for this publication. See the readme file for more detailed information
A computationally efficient method to model Stratospheric Aerosol Injection experiments (addendum)
This dataset, together with "A computationally efficient method to model Stratospheric Aerosol Injection experiments", contains the necessary code and data for reproducing the results of the accompanying paper. In this work, we implement a method for prescribing stratospheric aerosol fields in geoengineering simulations with CESM2-CAM and CESM1-CAM based on pre-existing WACCM geoengineering simulations. Specifically, this dataset contains the general CESM input data, the pre-existing WACCM data for CESM2 and a README
Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback
Raw data, analysis and supplementary code for Passmore & Rates et. al. (2025) "Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback