1167 research outputs found
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Arthropod and plant sampling from green spaces and meadows from three German cities (Bamberg, Darmstadt, Göttingen, 2022)
No full textArthropod and plant sampling in 2022 from green spaces and meadows in three German cities.
Arthropods were collected with suction sampling (modified leaf blower) from 249 plots in three German cities (Bamberg, Darmstadt, Göttingen), comprising different grassland types from the cities and there surroundings: green spaces, lawns, meadows etc.
Plants were identified from a 25m2 square.
Mowing information was obtained by green space managers, landowners, and farmers
eacl2026-assessing-paper-novelty
No full textDataset for evaluating automated novelty assessment in academic papers. Contains 182 ICLR submissions with human annotations, LLM-derived novelty assessments from reviewer critiques, and system-generated novelty analyses including research landscape overviews and novelty delta comparisons with prior work. This dataset is a supplement to the paper: Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback. Please refer to the paper for more details.1.
Structured Representation of Simulation and Annotation Data for Machine Learning in Forming Technologies
No full textThe use of machine learning (ML) in manufacturing requires structured, especially
standardized, access to both simulation data and domain knowledge. This paper
introduces a JSON-based data format for representing synthetic force-time series
alongside expert annotations. The schema captures simulation metadata, tool
and material parameters, and allows explicit expert knowledge, such as failure
indicators, to be linked to signal segments. The proposed structure enables
process-aware ML methods that leverage both domain knowledge and raw data
for improved learning and generalization. A deep drawing use case illustrates how
the format facilitates knowledge-guided learning. The approach aims to bridge the
gap between real and simulated production data, supporting scalable integration
in modern manufacturing systems.
The dataset filename encodes the preprocessing configuration.
pts denotes the number of uniformly resampled time points per stroke.
aug-gaussian-force-Fx-Ty-x specifies the augmentation strategy, where Fx is the standard deviation of additive Gaussian noise applied to the force signal, Ty the standard deviation of optional time jitter, and x the number of augmented copies per original stroke.
tFULL indicates that the full time series is used, while tA-Bs denotes a cropped time window from A to B seconds
Learning the Limits: How System Limitation Transparency Shapes Mental Models, Trust, and Acceptance in Conditionally Automated Driving Systems
No full textDatensatz, Rskript und Fragebogen zum mentalen Model
3D Geological Model for Germany and Adjacent Areas
No full textA Germany-wide 3D geological model that combines information from 27 individual models. Where possible, the model has been extended to neighboring states, e.g., the Netherlands, Belgium, France, Austria and Switzerland. The model has a resolution of 1 x 1 km^2 and is vertically and horizontally subdivided into 146 units, i.e., it contains 147 surfaces. Each model surface is provided as an individual xyz.-file. The coordinate system is ETRS89 UTM32N; negative Z-values are in meters below sea level. A figure showing depth, thickness, and the raw data used is provided for each surface. Additionally, eleven figures of combined model units (Cenozoic, Cretaceous, Jurassic, Triassic, Zechstein, Rotliegend, Pre-Permian, Carboniferous, Devonian, Upper Crust, and Lower Crust) are included. A detailed description, references, and an application example are provided by https://doi.org/10.5194/essd-2025-320.1.
Data for "In-situ gas-phase velocity field measurements in metal dust flames using novel fluorescent tracer particles"
No full textThis dataset contains the data shown in figures 1, 4, ,5, 6, 7, 8 and 9 of the paper "In-situ gas-phase velocity field measurements in metal dust flames using novel fluorescent tracer particles" submitte
Data for "Optically Accessible Electrodynamic Levitator for In-Situ LIBS Characterization of Iron Particles Under Reactive Conditions"
No full textThis dataset contains the results (present in Fig. 6, Fig. 7, Fig. 8, Fig. 9, Fig. 10) in the paper ''Optically Accessible Electrodynamic Levitator for In-Situ LIBS Characterization of Iron Particles Under Reactive Conditions'' submitted as a revision in the journal Optics Express in 2025revisio
2025_Stegmann_Enhancing_Silver_Sintering
No full textResearch and raw data to publication: Enhancing Silver Sintering - Effect of Copper Substrate Microstructure on Silver Adhesion and Bond Strengt
Continuum Modeling and Numerical Simulation of Active Suspensions in Curved Channels
No full textThis dataset contains the MATLAB results data and MATLAB scripts for numerical results in the paper "Continuum Modeling and Numerical Simulation of Active Suspensions in Curved Channels
Decoding stimulus-specific regulation of promoter activity of p53 target genes - Data and analysis code
No full textAll measurements derived from smFISH experiments as well as additional output from Bayesian inference are publicly available via the institutional repository of Technical University Darmstadt. This includes separate plots of the parameters (f, µ, δ) for each gene and condition with corresponding confidence intervals, histogram fits of the active TS exon fluorescence data, histogram fits of the RNA counts, plots of MCMC convergence, posterior distributions of the parameters inference and fitting of TS quantification. Raw image data are available from the corresponding authors upon reasonable request due to their large size. The corresponding analysis code is available as well.1.