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Metadata for publication "From data to discovery: Technology propels speech-language research and theory-building in developmental science"
No full textThis publication is a review and is not based on original data
Leaf Economics and Local Adaptation: Genetic and plastic responses within Mediterranean Annual Species to Macro- and Microclimatic Rainfall Gradients
No full textThis dataset underlies the following publication:
Leaf Economics and Local Adaptation: Genetic and plastic responses within Mediterranean Annual Species to Macro- and Microclimatic Rainfall Gradients
Ruchi Tiwari, Francine Hellmanzik, Florian Gade, and Johannes Metz, Plant Ecology & Nature Conservation Group, Institute of Biology & Chemistry, University of Hildesheim, Hildesheim, Germany.
Meta data for "Additive effects of emotional expression and stimulus size on the perception of genuine and artificial facial expressions: an ERP study"
No full textSeeing an angry individual in close physical proximity can not only result in a larger retinal representation of that individual and an enhanced resolution of emotional cues, but may also increase motivation for rapid visual processing and action preparation. The present study investigated the effects of stimulus size and emotional expression on the perception of happy, angry, non-expressive, and scrambled faces. We analyzed event-related potentials (ERPs) and behavioral responses of N = 40 participants who performed a naturalness classification task on real and artificially created facial expressions. While the emotion-related effects on accuracy for recognizing authentic expressions were modulated by stimulus size, ERPs showed only additive effects of stimulus size and emotional expression, with no significant interaction with size. This contrasts with previous research on emotional scenes and words. Effects of size were present in all included ERPs, whereas emotional expressions affected the N170, EPN, and LPC, irrespective of size. These results imply that the decoding of emotional valence in faces can occur even for small stimuli. Supra-additive effects in faces may necessitate larger size ranges or dynamic stimuli that increase arousal
Evaluation of plant water status dynamics and drought tolerance of juvenile European beech, Douglas fir and Norway spruce trees in relation to their neighborhood and nitrogen supply
No full textThis dataset accompanies a replicated 3-factorial sapling growth experiment investigating how drought, nitrogen (N) availability, and tree neighborhood composition influence the drought response of European beech (Fagus sylvatica), Norway spruce (Picea abies), and Douglas fir (Pseudotsuga menziesii). The experiment tested three soil moisture levels (high, medium, low), two N levels (ambient and high), and two neighborhood compositions (pure and mixed cultures).
Measured variables include biomass, stomatal conductance (GS), shoot water potential (predawn ΨPD, midday, and turgor loss point ΨTLP), xylem embolism resistance (Ψ50), minimum epidermal conductance (Gmin), and derived traits such as hydroscape area, time to stomatal closure (TΨGS90), and time to ΨTLP (TTLP).
The data reveal pronounced interspecific differences in drought physiology—particularly in Gmin and water potential dynamics—and demonstrate that species neighborhood and N availability jointly modulate tree drought responses. Mixtures enhanced GS in Douglas fir but reduced it in spruce and beech, while N addition primarily affected GS without altering hydraulic safety. These findings indicate that species identity and composition play a larger role than N availability in determining drought resilience.
Overall, the dataset provides detailed physiological and growth measurements that can inform models and management strategies for climate-resilient mixed-species forests in Central Europe
Metadata for "Gender congruence and emotion effects in cross-modal associative learning: Insights from ERPs and pupillary responses"
No full textSocial and emotional cues from faces and voices are highly relevant and have been reliably demonstrated to attract attention involuntarily. However, there are mixed findings as to which degree associating emotional valence to faces occurs automatically. In the present study, we tested whether inherently neutral faces gain additional relevance by being conditioned with either positive, negative, or neutral vocal affect bursts. During learning, participants performed a gender-matching task on face-voice pairs without explicit emotion judgments of the voices. In the test session on a subsequent day, only the previously associated faces were presented and had to be categorized regarding gender. We analyzed event-related potentials (ERPs), pupil diameter, and response times (RTs) of N = 32 subjects. Emotion effects were found in auditory ERPs and RTs during the learning session, suggesting that task-irrelevant emotion was automatically processed. However, ERPs time-locked to the conditioned faces were mainly modulated by the task-relevant information, that is, the gender congruence of the face and voice, but not by emotion. Importantly, these ERP and RT effects of learned congruence were not limited to learning but extended to the test session, that is, after removing the auditory stimuli. These findings indicate successful associative learning in our paradigm, but it did not extend to the task-irrelevant dimension of emotional relevance. Therefore, cross-modal associations of emotional relevance may not be completely automatic, even though the emotion was processed in the voice
Metadata for publication "Context Shapes (Proto) Conversations in the First Year of Life"
No full textThis is an ongoing longitudinal study before publishing open datasets
Replication Data for: Laser-Induced Real-Space Topology Control of Spin Wave Resonances
No full textThis is the replication dataset for the publication: Laser-Induced Real-Space Topology Control of Spin Wave Resonances in Advanced Functional Materials by T. Titze et al.
It contains the raw TR-MOKE measurements data relevant to the paper, as well as all Figure files. Evaluation origin files are provided for relevant figures, as well as python code. Please read the respective Readme files where provided
Emerging perspectives for the study of the neural basis of motor behaviour
No full textEditorial report about a conference, not containing any original dat
ESRF_2024 postprocessed data
No full textThe set of post-processed data from the ESRF measurements 2024 about bubbles close to object
Dissertation_Supplementary Material
No full textThis dataset contains the supplementary material for the dissertation "The GRAMS Study: An Approach to Bridging Genomic Data and Deep Phenotyping to Understand Familial Multiple Sclerosis", including the study manual as well as all custom R scripts and PLINK command files used in the analyses