cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14066155
title: ExpliCA Dataset

description: The ExpliCA dataset comprises 100 causal natural language explanations (NLEs), each meticulously paired with a set of causal triples. This dataset was developed to advance research in explainable artificial intelligence, with a focus on understanding and modeling causal relationships in text.

The dataset has been structured to enable comprehensive analysis of both original, human-curated explanations and AI-generated explanations, allowing researchers to make direct comparisons between the two. This setup supports a deeper investigation into how causal reasoning is represented in AI-generated content versus human explanations.

Original Explanations and Causal Triples

Each of the 100 curated explanations is linked with a corresponding set of causal triples, designed to capture key components of the causal relationship:



T1: The subject or initiator of the causal relationship.

T2: The causal verb or predicate describing the cause-effect connection.

T3: The object or effect, representing the outcome of the causal relationship.


Generated Explanations

In addition to original explanations, the dataset includes several types of generated explanations:



Explanations Generated from Triples: Explanations generated directly from the causal triples to assess the potential of automated explanation generation.

Explanations Generated from Triples with Reference: Explanations generated from triples that also reference the original explanations, providing additional context and coherence.


Human, Automated and LLMa Evaluation Using the REFLEX Framework

To evaluate the quality and reliability of explanations, both human and automated evaluations were conducted, as well as evaluation using LLMs as evaluators.



Human Evaluation of Original Explanations: Human evaluators assessed the original explanations to establish baseline quality metrics.

Human Evaluation of Generated Explanations: Human evaluators reviewed the generated explanations (both from triples alone and with reference to original explanations) for clarity, accuracy, and consistency with causal relationships.


The REFLEX framework, as presented in the PhD thesis of Miruna Clinciu, was applied to evaluate both original and generated explanations.
DOI: 10.18419/darus-1120/175
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DOI: 10.18419/darus-1120
title: 3D Photogrammetric-Data for MM02-17

description: &lt;p&gt;Research data (*.las, *.ply and *.obj format) which was obtained by Photogrammetric/Computer Vision 3D digitization as well as original images which were the base for the 3D reconstruction process. &lt;/p&gt;&lt;p&gt;Explanation about the 3D data format: &lt;/p&gt;&lt;p&gt;Las &lt;/p&gt;&lt;p&gt; (Is the normal data format for laser scanned point cloud data and also for photogrammetric 3D model.) &lt;/p&gt;&lt;p&gt;Ply or Ply + jpg &lt;/p&gt;&lt;p&gt; (The software RealityCapture encoded texture mesh in a single ply file while the software Agisoft metashape exported textured mesh in ply format + .jpg.) &lt;/p&gt;&lt;p&gt;Obj + mtl + jpg &lt;/p&gt;&lt;p&gt; (Obj stores a texture mesh together with mtl and jpg file. Obj file contains information of geometric vertices, texture vertices, vertex normal, polygon face element etc. The Mtl file defines the texture information of the faces. Mtl normally refers to a jpg for storing the actual texture.) &lt;/p&gt;&lt;p&gt;Explanation about the mask image (if available): &lt;/p&gt;&lt;p&gt;To avoid lots of background information in the 3D reconstruction process, well-aligned images to generate a rough model were applied. Afterwards a mask for each image could be calculated according to the 3D model. In the next step, original images together with the corresponding masks are applied to implement the reconstruction, which is free from the influence of the background information. &lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: moment generator
DOI: 10.18419/darus-1120/188
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DOI: 10.5281/zenodo.14068562
title: Data set for "Influences on Reliable Capacity Measurements of Hard Carbon in Highly Loaded Electrodes"

description: C. Müller, Z. Wang, A. Hofmann, P. Stüble, X. Liu-Théato, J. Klemens, A. Smith, Batteries & Supercaps 2023, 6, e202300322.
https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/batt.202300322

Abstract

For the development of a full-cell battery system, typically appropriate cathodes and anodes are characterized within a half-cell setup where a metal counter electrode is installed to gather data about the employed electrodes. Ultimately, the individual capacity loadings allow for suitable balancing of the anode to cathode capacity in the full-cell. This approach seems rather unproblematic for lithium-ion batteries. For sodium-ion batteries, however, we show that the high reactivity of sodium metal strongly influences hard carbon-based electrode measurements within sodium-ion half-cells. As hard carbon is considered state-of-the-art anode material, the presented results have high impact on the development of sodium ion batteries. Specifically, we show that the type of electrolyte, as well as cell- and measurement-setup are key factors for reliable sodium half-cell measurements of hard carbon. The investigated hard carbon electrodes have a high active material loading of 7.2 mg/cm2 (with 93 % active material content) resulting in an areal capacity of 2.4 mAh/cm2, which represent application-relevant conditions.

Funding

This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2154 - Project number 390874152 (POLiS Cluster of Excellence), and contributes to the research performed at Center for Electrochemical Energy Storage Ulm Karlsruhe (CELEST). We would like to thank Dr.-Ing. Philip Scharfer and Prof. Dr.-Ing. Wilhelm Schabel from Thin Film Technology at KIT for coating and drying electrodes in their TFT Coating and Printing Lab within the scope of the joint research in the DFG Cluster of Excellence POLiS. Open Access funding enabled and organized by Projekt DEAL.
DOI: 10.5281/zenodo.14068563
title: Data set for "Influences on Reliable Capacity Measurements of Hard Carbon in Highly Loaded Electrodes"

description: C. Müller, Z. Wang, A. Hofmann, P. Stüble, X. Liu-Théato, J. Klemens, A. Smith, Batteries & Supercaps 2023, 6, e202300322.
https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/batt.202300322

Abstract

For the development of a full-cell battery system, typically appropriate cathodes and anodes are characterized within a half-cell setup where a metal counter electrode is installed to gather data about the employed electrodes. Ultimately, the individual capacity loadings allow for suitable balancing of the anode to cathode capacity in the full-cell. This approach seems rather unproblematic for lithium-ion batteries. For sodium-ion batteries, however, we show that the high reactivity of sodium metal strongly influences hard carbon-based electrode measurements within sodium-ion half-cells. As hard carbon is considered state-of-the-art anode material, the presented results have high impact on the development of sodium ion batteries. Specifically, we show that the type of electrolyte, as well as cell- and measurement-setup are key factors for reliable sodium half-cell measurements of hard carbon. The investigated hard carbon electrodes have a high active material loading of 7.2 mg/cm2 (with 93 % active material content) resulting in an areal capacity of 2.4 mAh/cm2, which represent application-relevant conditions.

Funding

This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2154 - Project number 390874152 (POLiS Cluster of Excellence), and contributes to the research performed at Center for Electrochemical Energy Storage Ulm Karlsruhe (CELEST). We would like to thank Dr.-Ing. Philip Scharfer and Prof. Dr.-Ing. Wilhelm Schabel from Thin Film Technology at KIT for coating and drying electrodes in their TFT Coating and Printing Lab within the scope of the joint research in the DFG Cluster of Excellence POLiS. Open Access funding enabled and organized by Projekt DEAL.
DOI: 10.18419/darus-1324/2
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DOI: 10.18419/darus-1324/20
title: L-WK13-10.mtl
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DOI: 10.14469/hpc/14649
title: Additional Sulfoximine Derivatives (S11-S13)

description: Additional Sulfoximine Derivatives (S11-S13)
DOI: 10.18419/darus-1324/30
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DOI: 10.18419/darus-1324/31
title: MANIFEST.TXT
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DOI: 10.18712/nsd-nsd2683-v2
title: Protective Immunity to Streptococcus pneumoniae

description: S. pneumoniae is one of the single most important global causes of infective morbidity and mortality. Although current vaccines have reduced the occurrence of diseases, there are important limitations such as high cost and limited serotype coverage, compounded by serotype replacement. In this project we tested the hypothesis that Streptococcus mitis may offer protection against S. pneumoniae infection. We demonstrated cross-reactive responses in animals and in humans. Further, using a mouse model of S. pneumoniae infection, we showed that S. mitis can indeed induce immune responses that confer serotype-independent protective effects against S. pneumoniae. In addition, we found that S. mitis can be engineered to enhance protection by expressing the S. pneumoniae capsule on their surface. This last approach opens for a vaccine that would have a low cost and provide serotype independent protection, while retaining the well-documented protective effect conferred by the capsules of S. pneumoniae. In a time that antimicrobial resistance is one of the largest threats to humanity, and given the importance of S. pneumoniae, it is imperative that different alternatives to fight infections by this pathogen are explored.

For further information about ”Protective Immunity to Streptococcus pneumoniae”, please contact the principal investigator.
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title: crmeta.db
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title: L-WK13-10.ply.rcInfo
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title: L-WK13-10.las
DOI: 10.18419/darus-1324/195
title: L-WK13-10.las.rcInfo
DOI: 10.18419/darus-1324/196
title: L-WK13-10.obj.rcInfo
DOI: 10.18419/darus-1324/197
title: L-WK13-10.obj
DOI: 10.18419/darus-1324/198
title: L-WK13-10_u0_v0.jpg
DOI: 10.18419/darus-1324
title: 3D Photogrammetric-Data for L-WZ13-10

description: &lt;p&gt;Research data (*.las, *.ply and *.obj format) which was obtained by Photogrammetric/Computer Vision 3D digitization as well as original images which were the base for the 3D reconstruction process. &lt;/p&gt;&lt;p&gt;Explanation about the 3D data format: &lt;/p&gt;&lt;p&gt;Las &lt;/p&gt;&lt;p&gt; (Is the normal data format for laser scanned point cloud data and also for photogrammetric 3D model.) &lt;/p&gt;&lt;p&gt;Ply or Ply + jpg &lt;/p&gt;&lt;p&gt; (The software RealityCapture encoded texture mesh in a single ply file while the software Agisoft metashape exported textured mesh in ply format + .jpg.) &lt;/p&gt;&lt;p&gt;Obj + mtl + jpg &lt;/p&gt;&lt;p&gt; (Obj stores a texture mesh together with mtl and jpg file. Obj file contains information of geometric vertices, texture vertices, vertex normal, polygon face element etc. The Mtl file defines the texture information of the faces. Mtl normally refers to a jpg for storing the actual texture.) &lt;/p&gt;&lt;p&gt;Explanation about the mask image (if available): &lt;/p&gt;&lt;p&gt;To avoid lots of background information in the 3D reconstruction process, well-aligned images to generate a rough model were applied. Afterwards a mask for each image could be calculated according to the 3D model. In the next step, original images together with the corresponding masks are applied to implement the reconstruction, which is free from the influence of the background information. &lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: turn indicator
DOI: 10.18419/darus-1324/199
title: L-WK13-10.ply