The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
Auflistung Bereich Mathematik und Naturwissenschaften nach Erscheinungsdatum
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Experimental, behavioral data
(Technische Universität Dresden, 2018)Behavioral data for all 35 subjects -
Data and Material for "Thinking in Action: Need for Cognition Predicts Self-Control Together with Action Orientation"
(Technische Universität DresdenTU Dresden, 2018)These files provide the questionnaire data and all material for reproducing the results of "Thinking in Action: Need for Cognition Predicts Self-Control Together with Action Orientation" by Julia Grass and colleagues. In ... -
Impulsive decision-making predicts the course of substance-related and addictive disorders
(Technische Universität Dresden, 2018)Data and do-files for the analyses presented in the paper "Impulsive decision-making predicts the course of substance-related and addictive disorders" Aims of the analyses: To test whether impulsive decision-making (1) ... -
Dataset and figures for "Sex differences in bedbug nymphs, Cimex lectularius"
(Technische Universität Dresden, 2019) -
Relevant data for manuscript "Quantitation of free glycation compounds in saliva" PLOS ONE
(Technische Universität Dresden, 2019) -
NAD(P)H/FAD FLIM data D. melanogaster tissues
(Cornelia Wetzker, Angewandte Zoologie, Fakultät Biologie, 2019) -
Sperm viability varies with buffer and genotype in Drosophila melanogaster
(Technische Universität DresdenProfessur für angewandte Zoologie, 2020)Variation in sperm viability in Drosophila melanogaster with buffer and genotype -
Jupyter notebook code and example file for the evaluation of XRR data via FFT
(Technische Universität DresdenIFW Dresden, 2020)This is supplementary information to the publication: "Fast fourier transform and multi-Gaussian fitting of XRR data to determine the thickness of ALD grown thin films within the initial growth regime" -
Data and Material for "Should we detach from detachment? Regulatory and post-regulatory effects of emotion downregulation"
(Technische Universität Dresden, 2021)These files provide first level fMRI data for reproducing the results of "Should we detach from detachment? Regulatory and post-regulatory effects of emotion downregulation" by Kersten Diers and colleagues. Due to the ... -
Bioinformatic comparative genomic analysis of Psp proteins in bacteria and archaea
(Technische Universität Dresden, 2021)Supplemental material for 'Phyletic distribution and diversification of the Phage Shock Protein stress response system in bacteria and archaea' -
FLIM Measurements of bed bug sperm cells
(Technische Universität Dresden, 2021)Data to: Seminal fluid, and sperm diluent, affect sperm metabolism in an insect: evidence from NAD(P)H and FAD autofluorescence lifetime imaging (SemFSpMetab) Sperm metabolism is fundamental to sperm motility and male ... -
Training and Predicted Data for Machine Learning on Thermoelectric Materials
(Technische Universität DresdenIFW Dresden, 2022)This is supplementary information to the manuscript: "Sustainable Thermoelectric Materials Predicted by Machine Learning" -
Research data supporting the paper "Organic bipolar transistors"
(Technische Universität Dresden, 2022)Supplemental experimental data to the paper "Organic bipolar transistors". For the experimental details, please refer to the original paper. -
Data for NCOMMS-22-00582A, Rahn et al.
(Technische Universität Dresden, 2022)This dataset contains the necessary data and minimal Matlab scripts to reproduce the Figures in "Kondo quasiparticle dynamics observed by resonant inelastic x-ray scattering" (Rahn et al., 2022) -
Supplemental material for publication: "Chaotic resonance modes in dielectric cavities: Product of conditionally invariant measure and universal fluctuations"
(Technische Universität Dresden, 2022)The supplemental material to the paper (Physical Review Letters 2022, arXiv:2203.09752) presents a gallery of individual modes in position space from short-lived modes to modes with longest lifetime and a mode with high ... -
Documentation for paper "Ecological Momentary Assessment and Applied Relaxation: Results of a Randomized Indicated Preventive Trial in Individuals at Increased Risk for Mental Disorders"
(Technische Universität Dresden, 2023)Documentation for paper "Ecological Momentary Assessment and Applied Relaxation: Results of a Randomized Indicated Preventive Trial in Individuals at Increased Risk for Mental Disorders", including study protocol, raw data, ... -
Supplemental material to "Maximal Anderson Localization and Suppression of Surface Plasmons in Two-Dimensional Random Au Networks"
(Leibniz-Institut für Festkörper- und Werkstoffforschung Dresden, 2023)Two-dimensional random metal networks possess unique electrical and optical properties, such as almost total optical transparency and low sheet resistance, which are closely related to their disordered structure. Here we ... -
Intermediate dataset of clustered body odor descriptors
(Technische Universität DresdenProf. Dr. Ilona CroyFriedrich-Schiller-Universität Jena, 2023)The dataset shows the intermediate results from 1060 participants from nine countries and five languages: German (Germany, Austria, 414 participants), English (United States, Canada, Great Britain, Sweden, 133 participants), ... -
Data and Material for "Investigating perspectives on e-health interventions to enhance maternal mental well-being: results of a stakeholder interview"
(Technische Universität DresdenTechnische Universität Dresden, 2023)These files provide the semi-structured interview guide as well as the transcripts of the interviewed stakeholders. -
Python source code, text corpora and automatically generated datasets for Machine Learning
(Technische Universität Dresden, 2023)This is supplementary information to the report: "Entwicklung eines Input-Algorithmus zur Erzeugung von Lerndatensätzen für Maschinelles Lernen mittels Natural Language Recognition"