Yoda Data Publication Platform of Utrecht University
Not a member yet
632 research outputs found
Sort by
Raw data for Words and Meters: Neural Evidence for a Connection Between Individual Differences in Statistical Learning and Rhythmic Ability in Infancy
No full textRaw data for the study Words and Meters: Neural Evidence for a Connection Between Individual Differences in Statistical Learning and Rhythmic Ability in Infancy. Analysis scripts can be found here: www.doi.org/10.17605/OSF.IO/A9BDZ
EEG_data contains the infant EEG data, the folder Parents contains raw data from the questionnaire
The data package for: "Divergent Organomagnesium Reactivity of Rigid and Dinucleating Naphthyridine Ligands: Subtle Changes with Big Impact"
No full textThe files contain the spectroscopical and computational data within this publication
##Methodological information:
NMR-Spectroscopical data was collected on an Agilent MRF 400 equipped with a OneNMR probe and Optima Tune system, 400 MHz Jeol EZCL G system with an HFX probe or a Varian VNMR-S-400 equipped with an AutoX probe. IR-Spectroscopical data was collected on a PerkinElmer SpectrumTwo Infrared Spectrophotometer equipped with an ATR-probe. Computational data was collected using the Gaussian 16 rev. C.02 software. All files are unprocessed and can be read into notepad or specific computational software (e.g. ChemCraft)
## Data specific information:
NMR files are .mnova files that can be opened using the MestreNova software. Files relating to the computations are .inp/.log/.out that can be opened using Notepad or any other text editing software and the calculated structures can be visualised using computational software such as ChemCraft, Avogadro or Gaussview
## Licenses or restrictions placed on the data:
All data is provided under a CC-BY-NC licens
Effects of cerebellar transcranial direct current stimulation on reversal learning performance during threat of shock
No full textData (individual task, questionnaires, shock work-up and registration), preprocessing and analysis scripts, ethical approval and manuscript for the paper 'Effects of cerebellar transcranial direct current stimulation on reversal learning performance during threat of shock'
NESSC Research Legacy Booklet
No full textOn 11 and 12 April 2024, PhD and postdoc researchers of the Netherlands Earth System Science Centre (NESSC) presented their latest findings at the final official gathering in conference centre Kontakt der Kontinenten in Soesterberg.
The abstracts of the submitted presentations have been collected within this publication and supplemented with additional results. The NESSC Research Legacy Booklet presents only a sampling of the breadth and diversity of NESSC’s research themes, while demonstrating NESSC’s still growing scientific legacy
Chapter 2 - CMIP6 model analysis of multi-year droughts
No full textAll processed CMIP6 data required to reproduce the analysis.
The data is provided mainfolders and 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 Jonna van Mourik - [email protected]
Separation timescales of vertically migrating zooplankton and other (a)biotic materials in the Benguela system
No full textData generated for the manuscript titled: "Separation timescales of vertically migrating zooplankton and other (a)biotic materials in the Benguela system" and submitted to JGR Oceans. The data repository consists of simulation outputs and files generated for analysis
Post-Polymerisation Oxyfunctionalisation of Styrene and Butadiene-Based (Co-)Polymers using a Homogeneous Manganese Catalyst
No full textThe data package contains the spectroscopic data (NMR, FTIR & ESI and UV-Vis), thermoanalytic data (TGA & DSC) and chromatographic data (GPC), data for this publication. See the readme file for more detailed informatio
WIMBY D2.4 Disability-Adjusted Life Years (DALY) from Onshore Wind Turbine Accidents in Europe
No full textThis dataset presents the results of a health impact assessment of onshore wind turbine accidents across Europe from 2000 to 2023. Using updated accident data linked to turbine and wind farm locations, Disability-Adjusted Life Years (DALYs) were estimated for each event. DALYs were computed based on fatality and injury data, adjusted using global burden of disease disability weights, and spatially disaggregated to the NUTS2 level using a Bayesian Hierarchical Model (BHM). The data were visualized as a risk map using QGIS and stored as GeoPackage files
Caravan-Qual: A global scale integration of water quality observations into a large sample hydrology dataset
No full textCaravan-Qual is an open access dataset that brings water quality to the research paradigm of large sample hydrology (LSH), integrating daily water quality data from 100 constituents with catchment attributes, meteorological forcing and co-located streamflow observations.
Water quality data in Caravan-Qual is compiled from several existing global, regional and national databases, all of which have fully open-access licenses that permit redistribution, including:
• Global: UNEP GEMS/Water Global Freshwater Quality Archive (GEMS)
• Global: Global River Water Quality Archive (GRQA)
• Global: GLObal River Chemistry (GLORICH) dataset
• Europe: NORMAN EMPODAT
• Europe: Waterbase WISE State of Environment (Waterbase)
• United States: Water Quality Portal (WQP)
• China: China National Environmental Monitoring Centre (CNEMC)
• United Kingdom: Department for Environment, Food and Rural Affairs (UK-EA)
• Canada: Canadian Environmental Sustainability Indicators (CESI)
• Switzerland: National Surface Water Quality Monitoring Programme (NAWA)
Where possible, water quality monitoring observations are matched to publicly accessible streamflow observations (Caravan + extensions), and stream attributes (GEOGLOWSv2), catchment attributes (HydroATLAS) and climate data (ERA5-Land) are derived.
Additional resources
⦁ Code for (re-)creating or extending Caravan-Qual at: https://github.com/SustainableWaterSystems/Caravan-Qual/
⦁ Jupyter notebook for exploring Caravan-Qual at: https://github.com/SustainableWaterSystems/Caravan-Qual/tree/main/example
⦁ Lightweight version of Caravan-Qual: https://zenodo.org/records/1778706
Climate_Responsive_Crop_Selection_Global_Dataset
No full textThis repository contains a newly developed global dataset of climate-responsive crop varieties and sowing dates for six major crops: maize, soybean, winter wheat, spring wheat, rice (season 1), and rice (season 2). The dataset is designed to support research on crop adaptation, food security, and climate impact assessment