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This dataset contains the python scripts and data (netcdf and csv) to recreate the figures of the manuscript: Gründemann, GJ, van de Giesen, N, Brunner, L, and van der Ent, R (2022). Rarest rainfall events will have the greatest relative increase in magnitude under future climate change. Nature Communications Earth and Environment 3, 235. https://doi.org/10.1038/s43247-022-00558-8. 

The L3Pilot Global User Acceptance Survey investigated the acceptance of SAE Level 3 (L3) conditionally automated cars. Survey data was collected in two phases. This dataset contains the data from the first phase of the survey with responses collected from 17 countries on five continents. Description.pdf contains information about the survey methodology and coding of the variables. For further information about the survey, please consult L3Pilot deliverable D7.1 ‘Annual quantitative survey about user acceptance towards ADAS and vehicle automation’. If you use the dataset, please cite it as: L3Pilot (2021). L3Pilot Global User Acceptance Survey, First Phase Data. 

Introduction Data underlying the publication: A cryogenic, coincident fluorescence, electron and ion beam microscope. Publication DOI: 10.7554/eLife.82891 Authors: D.B. Boltje, J.P. Hoogenboom, A.J. Jakobi, G.J. Jensen, C.T.H. Jonker, M.J. Kaag, A.J. Koster, M.G.F. Last, C. de Agrela Pinto, J.M. Plitzko, S. Raunser, S. Tacke, Z. Wang, E.B. van der Wee, R. Wepf, S. den Hoedt Repository created by Daan Boltje General description All data underlying the manuscript figures is stored in this repository. Experiments have been carried out at the Department of Imaging Physics at Delft University of Technology (Delft, NL) in 2020 and 2021 and resulting data are presented in figures 1, 2, 3, 4, 7 and 8. External validation experiments have been carried out at the Department of Structural Biochemistry, Max Planck Institute of Molecular Physiology, (Dortmund, DE) between March-May 2021. The data from these experiments are used in figure 5, 6 and video 1.

This dataset contains the information from the paper: "Unraveling the Nature of Extraframework Catalytic Ensembles in Zeolites: Flexibility and Dynamics of the Copper-Oxo Trimers in Mordenite". It includes the trajectories generated in this study and their post-processing procedures (python scripts and excel data sheets). Moreover, this dataset contains data on energy profiles for methane activation process.

This dataset contains detailed information on the structures studied in the following paper: "Global optimization of extraframework ensembles in zeolites: on the structure of extra-framework aluminium species in MOR and MFI zeolites". Our data include the computational results of the genetic algorithm runs conducted for each configuration and figures presented in the manuscript.

We apply ultrasound-driven bubble dynamics for high-frequency interfacial rheology of colloid monolayers. We propose and test two different protocols: an acoustic pressure sweep, akin to a stress sweep; and a radius sweep, which is equivalent to a frequency sweep. Using high-speed video-microscopy, we record the time-dependent bubble size and shape. The oscillatory dynamics of both coated and bare bubbles are compared under identical conditions. The dataset contains experimental data for both coated and uncoated bubbles. The experimental methods and conditions are described in detail in the accompanying README files.

This dataset contains the genotyping data obtained from RAD-sequencing of a panel of 223 Lupinus mutabilis accessions and the marker selection used to perform the genome-wide association study described in the publication "Investigating the potential of Andean lupin as a lignocellulosic feedstock for Europe: first genome-wide association study on L. mutabilis biomass quality". 

RINEX3 (https://files.igs.org/pub/data/format/rinex305.pdf) Hatanaka-compressed (http://sopac.ucsd.edu/hatanaka.shtml) GNSS (Global Navigation Satellite System) data of single-frequency observations obtained by the Ublox Neo M8T receiver (Evaluation Toolkit) and standard Ublox patch antenna. The data is downsampled to 15-second observations spanning from DOY (day of year) 95 in 2017 to DOY 83 in 2020. The unit was placed on the rooftop of the observatory of the NMi building in Delft (approx. coordinate 51.986166, 4.387678). The receiver was connected to a constant power supply. The antenna was placed on the flat rooftop (no significant obstruction in the sky) with a 10cm circular glound plane underneath.

This is the data corresponding to the publication "Optimizing Entanglement Generation and Distribution Using Genetic Algorithms" (https://doi.org/10.1088/2058-9565/abfc93). It contains the raw data resulting from all the optimization runs performed (see publication for details), from parameter scans and scripts used to generate plots.

This dataset contains: - raw NMR data for new compounds used in the publication - comutational data for calculations presented in the published work - raw analytical data for catalysis run characterization - crysallographic data for new complexes