cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25532/opara-848
title: Datenmodell der Forschungsdatenbank FVA 984 I

description: Im Rahmen des Forschungsvorhabens "Versuchsdatenkonditionierung" wurde eine Forschungsdatenbank für Schwingfestigkeitsversuche im Bereich Wellen und Welle-Nabe-Verbindungen erstellt. Die hier veröffentlichten Daten beschreiben das Datenmodell der Datenbank mit allen Tabellen, den darin enthaltenen Attributen und deren Eigenschaften.
DOI: 10.25532/opara-790
title: Data Underpinning: Spin Liquid Mimicry in the Hydroxide Double Perovskite CuSn(OD)₆ Induced by Correlated Proton Disorder

description: The face-centered-cubic lattice is composed of edge-sharing tetrahedra, making it a leading candidate host for strongly frustrated magnetism, but relatively few face-centered frustrated materials have been investigated. In the hydroxide double perovskite CuSn(OH)6, magnetic frustration of the Cu2+ quantum spins is partially relieved by strong Jahn-Teller distortions. Nevertheless, the system shows no signs of long-range magnetic order down to 45 mK and instead exhibits broad thermodynamic anomalies in specific heat and magnetization, indicating short-range dynamical spin correlations — a behavior typical of quantum spin liquids. We propose that such an unusual robustness of the spin-liquid-like state is a combined effect of quantum fluctuations of the quantum spins S = 1/2 , residual frustration on the highly distorted face-centered Cu2+ sublattice, and correlated proton disorder. Similar to the disorder-induced spin-liquid mimicry in YbMgGaO4 and herbertsmithite, proton disorder destabilizes the long-range magnetic order by introducing randomness into the magnetic exchange interaction network. However, unlike the quenched substitutional disorder on the magnetic sublattice, which is difficult to control, proton disorder can in principle be tuned through pressure-driven proton ordering transitions. This opens up the prospect of tuning the degree of disorder in a magnetic system to better understand its influence on the magnetic ground state.
DOI: 10.25532/opara-892
title: Crack monitoring with DFOS: Distributed strain measurements with various DFOS/adhesive combinations and model development for strain peak prediction

description: Coherent optical frequency domain reflectometry (c-OFDR) enables continuous and automated crack monitoring in concrete structures due to its high spatial resolution and long sensing range. However, the selection of a suitable DFOS/adhesive combination (DAC) remains a key challenge and is typically based on empirical knowledge. As a result, the monitoring quality is highly dependent on the user’s experience. Inappropriate choices can result in undetected cracks, degraded signal quality, miscalculated crack widths, or even fiber breakage. This study proposes a semi-analytical model for predicting strain curves for arbitrary crack patterns, based on experimentally derived parameters, such as sensitivity, strain lag parameter, and the extent of bond disturbance due to transverse cracking. The model was validated using strain measurements from tests on reinforced concrete specimens with multiple cracks. With only a few input parameters, it enables accurate representation of crack-induced strain peaks and allows for the consideration of measurement limitations typical for c-OFDR systems. Based on this, design charts and an open source software tool were developed to support practitioners in the systematic selection of DACs, tailored to the expected crack pattern.
DOI: 10.25532/opara-862
title: Survey of Active Learning Hyperparameters

description: Annotating data is a time-consuming and costly task, but it is inherently required for supervised machine learning.
Active Learning (AL) is an established method that minimizes human labeling effort by iteratively selecting the most informative unlabeled samples for expert annotation, thereby improving the overall classification performance. Even though AL has been known for decades [1], AL is still rarely used in real-world applications. As indicated in the two community web surveys among the NLP community about AL [2], [3], two main reasons continue to hold practitioners back from using AL: first, the complexity of setting AL up, and second, a lack of trust in its effectiveness. We hypothesize that both reasons share the same culprit: the large hyperparameter space of AL. This mostly unexplored hyperparameter space often leads to misleading and irreproducible AL experiment results. In this study, we first compiled a large hyperparameter grid of over 4.6 million hyperparameter combinations, second, recorded the performance of all combinations in the so-far biggest conducted AL study, and third, analyzed the impact of each hyperparameter in the experiment results. Besides our publication we are making our raw experiment results publically available for other researchers to built upon.
[1] B. Settles, “Active Learning Literature Survey,” University of Wisconsin-Madison Department of Computer Sciences, Technical Report, 2009.
[2] K. Tomanek and F. Olsson, “A web survey on the use of active learning to support annotation of text data,” in Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing, E. Ringger, R. Haertel, and K. Tomanek, Eds. Boulder, Colorado: Association for Computational Linguistics, 2009, pp. 45–48.
[3] J. Romberg, C. Schröder, J. Gonsior, K. Tomanek, and F. Olsson, “Have LLMs Made Active Learning Obsolete? Surveying the NLP Community,” 2025.
DOI: 10.25532/opara-861
title: Human Expertise vs. Artificial Intelligence: New evidence on building age estimation - Experts survey and ChatGPT answers

description: The construction, operation, and demolition of buildings account for a significant portion of global energy demand and CO2 emissions. Preserving existing buildings and encouraging renovation is crucial for sustainability. However, detailed information about the construction age of buildings is sparse. This study explores the potential of large pre-trained visual language models (VLMs) like ChatGPT to estimate building age, comparing their accuracy to that of real estate experts. The research involves a comprehensive survey of experts and the application of ChatGPT promts to a dataset of building images. The results show that ChatGPT makes more accurate statements about the age of buildings than individual experts. Only the collective intelligence of many experts provides better results than the VLM. This suggests that VLMs should be used more extensively than before to determine the age of buildings. Using this knowledge, urban planning can be tailored more specifically to necessary renovations in order to extend the life cycles of buildings and close loops in line with the principle of circularity.
DOI: 10.25532/opara-887
title: SivaS Project Results: Traffic Observation Data and Exemplary Subset of Master Database

description: This dataset comprises JSON files and .mp4 video recordings that collectively form the foundation of a centralized database for traffic observations, referred to as the SivaS Master Database. Included in the dataset are: (i) a subset of the raw traffic observation data, (ii) JSON schemas defining the standardized data structure for traffic data storage, (iii) the hierarchical folder framework for organizing such data, and (iv) an exemplary implementation of the standardized database. Given the complexity of the raw data and the substantial effort involved in converting it into the standardized structure, only a limited sample dataset was manually curated and prepared. The SivaS Master Database was created by transforming a subset of the raw traffic data collected during the project into the established database, designed to support integration from various acquisition systems. The dataset includes traffic observations obtained through three different modalities: drones, stationary pole-mounted cameras, and sensor-equipped NDS (Naturalistic Driving Study) vehicles. Specifically, it features over 60 minutes of video recordings from a junction in the city of Dresden, captured simultaneously by three stationary cameras. Additionally, it contains more than 30 minutes of drone-based video footage from two separate junctions in the city of Hoyerswerda. It also includes vehicle positioning data collected by a sensor-equipped observation vehicle, formatted according to the standardized structure, from traffic observations conducted in Hoyerswerda.
DOI: 10.5281/zenodo.16325864
title: EXPERIENCE OF FOREIGN COUNTRIES IN PREVENTING DRUG USE BY YOUNG PEOPLE
DOI: 10.5281/zenodo.16325865
title: EXPERIENCE OF FOREIGN COUNTRIES IN PREVENTING DRUG USE BY YOUNG PEOPLE
DOI: 10.25532/opara-872
title: TUD Industrial Database (v1.1)

description: This database supports modeling transformation pathways in Germany’s process industry sector by providing techno-economic data for processes associated with at least one conventional or low carbon production system having as main output alumina, ammonia, bricks, chlorine, clinker, container glass, corrugated board, float glass, high value chemicals, methanol, newspaper, other graphic paper, primary aluminum, primary copper, primary steel, quicklime, refractories, secondary aluminum, secondary steel, soda ash, tissue, or urea. The techno-economic data comprise availability factors and lifetimes of industrial process facilities, normalized investments for both new conventional process facilities and for the defossilization of existing process facilities, energy and raw material inputs, by-product outputs, and market entry years of processes. Additionally, the database provides both statistics and scenario assumptions on annual industrial production volumes, purchase prices for inputs, sales prices for by-products, European Emission Allowance prices, and carbon dioxide intensities of the inputs used in the processes. To reflect variability in literature values, especially regarding energy and material flows, investments, and other techno-economic assumptions, the dataset provides intervals consisting of a reference value (REF) representing the median of the available data, as well as an upper bound (UB) reflecting the less optimistic and a lower bound (LB) representing the more optimistic range of specifications regarding costs available for a process.
DOI: 10.25532/opara-859
title: Estimation of fuel storage capacity for Ammonia-Fueled Vessels

description: This dataset is part of NH3CRAFT Deliverable D5.4: Parametrized Test-Benchmark with Dataset of Desktop Studies. It was generated using a MATLAB/Simulink model developed for a digital design platform supporting the conceptual development of ammonia-fueled ships. The dataset enables parametric studies focused on estimating the ammonia fuel storage capacity and operational profiles of vessels under different scenarios. The model estimates the fuel storage capacity considering the vessel’s operational profile, the vessel’s available installation spaces, and tank configuration options.
 The operational profile includes engine power, vessel speed, and days of operation. The vessel dimensions take into account the available installation spaces and the breadth of the vessel. Several tank configuration options are explored, including the use of Twenty-foot Equivalent Unit (TEU) and Forty-foot Equivalent Unit (FEU) tanks—made of either metallic or composite materials—and placement strategies such as horizontal placement (with and without stacking allowance) and vertical placement.
 The key outputs include the tank capacity per installation space in cubic meters, the vessel range (or coverage) per installation space in nautical miles, and the number of tanks per installation space. vessel range per installation space (nautical miles), and the number of tanks per installation space
DOI: 10.15468/dl.wmpvu7
title: Occurrence Download

description: A dataset containing 4222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aruncus dioicus",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4222 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029178-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25532/opara-860
title: Dimensioning of Auxiliary Systems for Ammonia-Fueled Vessels

description: This dataset is part of NH3CRAFT Deliverable D5.4: Parametrized Test-Benchmark with Dataset of Desktop Studies. It contains the dimensioning of the main auxiliary systems for ammonia-fueled vessels. The dataset includes data for the dimensioning of the pipes, low- and high-pressure pumps, recirculation and buffer tanks, heaters and nitrogen supply requirements.
DOI: 10.25532/opara-646
title: Original research data of “Systematic variation of the acceptor electrophilicity in donor-acceptor-donor emitters exhibiting efficient room temperature phosphorescence suited for digital luminescence"

description: Original research data to the following paper: Purely organic materials showing efficient and persistent emission via room temperature phosphorescence (RTP) allow the design of minimalistic yet powerful technological solutions for sensing, bioimaging, information storage, and safety applications using the photonic design principle of digital luminescence. Although several promising materials exist, a deep understanding of the underlying structure-property relationship and, thus, development of rational design strategies are widely missing. Some of the best purely organic emitters follow the donor-acceptor-donor design motif. In this study, the influence of the acceptor unit on the photophysical properties is systematically analyzed by synthesizing and characterizing variations of the RTP emitter 4,4′-dithianthrene-1-yl-benzophenone (BP-2TA). The most promising candidates are also tested in programmable luminescent tags as a potential application field for information storage. While no significant influence by the electrophilicity index of the acceptor moiety on the RTP emission is observed, the results support the design of molecules with pronounced hybridization as obtained for the newly synthesized emitter demonstrating superior RTP efficiency combined with improved stability.
DOI: 10.25532/opara-852
title: Monitoring Data of the openLAB Research Bridge – Load Test on PE 2.1

description: Between May 5 and 7, 2025, extensive experiments were carried out on the openLAB research bridge. The test program was structured as follows:
 
 • Day 1: Static and dynamic measurements in the reference state
 
 • Day 2: Loading of the bridge using hydraulic jacks up to the ultimate limit state (yielding of prestressing steel) 
 
 • Day 3: Local damage of prestressing tendons (cutting wires at several locations) 
 
The present dataset contains force and displacement measurements from the load test conducted on Day 2. The load was applied locally to precast element (PE) 2.1 (Field 2, PE axis 1) using two hydraulic jacks and increased up to 400 kN. Displ
acements were measured at five different positions along PE axis 1.

Details on the measurement setup can be found in the attached file readme.txt. Additional information on the project, the bridge and reference-phase measurements is available under the following references:

https://doi.org/10.1016/j.dib.2025.111624

https://onlinelibrary.wiley.com/doi/10.1002/best.202300094

Herbers, M., Richter, B., Jan-Hauke, B., Al-Zuriqat, T., Smarsly, K., Marx, S. (2024, November). openLAB – A large-scale demonstrator for advancing digital twin developments of bridges. In 2024 fib Symposium (pp. 2057–2067). (see attachmen
t)

Value of the data:

 • Validation and calibration of finite element models (FEM)

 • Comparison with geodetic measurement methods (e.g., total station, drone survey)

 • Basis for interpreting data from additional monitoring systems (e.g., distributed fiber optic sensing, acceleration measurements, acoustic emission monitoring, etc.)
 
The provided Python script enables data import, post-processing, and visualization of the measurement data (see example figures).
DOI: 10.25532/opara-889
title: FairBotBench

description: This paper presents a concept for building a benchmark dataset to systematically evaluate chatbot responses in e-commerce with respect to ethical quality dimensions such as bias, toxicity and personalization. The core approach involves generating neutral base dialogues of varying lengths, which are then expanded into more problematic variants and enriched with linguistic diversity. The data is annotated by humans through a multi-stage process. The resulting dataset is intended to support the development and calibration of ethical AI components. To increase utility an english translation of the dataset is provided.
DOI: 10.25532/opara-809
title: Optoacoustic Imaging in Lower Extremity Revascularization: A Novel Technique to Assess Perioperative Muscle Perfusion

description: This Excel sheet contains perfusion measurements acquired using Multispectral Optoacoustic Tomography (MSOT) from a cohort of 26 patients undergoing lower extremity revascularization. Measurements were taken at three time points: before the procedure (pre), immediately after the procedure (post), and before hospital discharge (disch). For each patient (identified by a pseudonym in the leftmost column), multiple oxygenation-related parameters were recorded at various wavelengths, targeting three anatomical regions of interest: Tibialis Anterior Muscle – Proximal (TAP), Tibialis Anterior Muscle – Medial (TAM), and Flexor Hallucis Brevis Muscle (FH).
DOI: 10.25532/opara-879
title: Research data on measured solubility of insect fat in compressed CO2

description: The data file ('Solubility data.txt') contains the measured solubility data of insect fat (Black soldier fly larvae, Hermetia illucens) in compressed CO2 according to the publication "Solubility of insect fat in compressed CO2: Experiments and density- as well as activity-based modeling" by Goldberg, T. Herdegen, V. (2025). Measurements were conducted at 4 set temperatures (298, 315, 336, 353 K) over a wide pressure range (15 to 60 MPa). The dataset includes all measured solubilities, each determined in at least duplicate, together with the corresponding temperature and pressure conditions (means and standard deviations). The given CO2 densities were calculated using the Bender equation of state, with their maximum fluctuation range resulting from the standard deviations in temperature and pressure. Except for 3 selected data points that refer to the crude insect fat (attached at the end of the file), all measurements were performed using the pre-cleaned insect fat obtained from liquid-liquid extraction with hexane and water. Further information on physicochemical properties and the fatty acid profile of the insect fat, as well as a detailed description of the experimental procedure, can be found in the associated publication.
DOI: 10.25532/opara-866
title: Raw data from the operational modes demonstration of storage tanks and auxiliary systems for ships burning ammonia as fuel

description: This dataset contains raw live monitoring data from the final demonstration of the NH3CRAFT project, during which various operational modes were tested. The focus was on monitoring the transfer of ammonia between tanks and evaluating the performance of associated systems, including flowmeters, valves, pumps, and key tank instrumentation such as temperature, pressure, and filling levels.
 
The onshore demonstration involved three metallic tanks (MU1, MU2, and MC3) with capacities of 290, 145, and 155 m³, respectively, a containerized metallic tank (MC4, 20 m³), and a container holding eight composite tanks (CC1 to CC8) with a total capacity of 11 m³.

Data were acquired through digital and analog signals from field instruments connected to Programmable Logic Controllers (PLCs), which interfaced with an industrial PC for real-time monitoring.

The dataset demonstrates stable system performance during ammonia transfer operations and serves as a valuable resource for assessing system reliability, safety, and efficiency in ammonia storage applications, supporting the broader objectives of the NH3CRAFT project.
DOI: 10.25532/opara-863
title: Hydrogen fuelled ships: Comparative analysis of class rules and guidelines

description: The IGF Code, originally designed around LNG storage and transport systems, falls short in adequately addressing the unique properties of hydrogen. As a result, efforts are currently underway to develop relevant regulations, including the release of CCC 9/WP.3. Leading classification societies like ABS, BV, DNV, KR, LR, NK, and RINA have established their own specific rules and guidelines for liquefied gases and LNG.
DOI: 10.25532/opara-864
title: GHG EMISSION FACTORS OF FUELS

description: According to the data presented IMO’s 4th GHG study and FuelEU Maritime Regulation, the potential emissions generation from the use of different fuels are collected considering the WtT and TtW emissions in terms of GHGIE (g CO2 eq./MJ) from the production, transportation and usage of fuels.
DOI: 10.15468/dl.qtvqer
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Elanus caeruleus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 155 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029180-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.