cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1345/85
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DOI: 10.18419/darus-1345/91
title: crmeta.db
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title: 00007323.JPG
DOI: 10.18419/darus-1345/115
title: PL05_02-20.las
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DOI: 10.18419/darus-1345/128
title: PL05_02-20.obj
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title: 00007328.JPG
DOI: 10.18419/darus-1345/187
title: 00007201.JPG
DOI: 10.6084/m9.figshare.27636192
title: Data and code for '<i>Surapaneni et al. 2024. </i><i>The helmeted hornbill casque is reinforced by a bundle of exceptionally thick, rod-like trabeculae</i>'

description: Raw data and code for '<i>The helmeted hornbill casque is reinforced by a bundle of exceptionally thick, rod-like trabeculae</i>'
DOI: 10.18419/darus-1345/188
title: PL05_02-20.mtl
DOI: 10.18419/darus-1345/189
title: KH09-09_u0_v0.jpeg
DOI: 10.18419/darus-1345/190
title: 00007321.JPG
DOI: 10.18419/darus-1345/191
title: 00007332.JPG
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title: 00007177.JPG
DOI: 10.18419/darus-1345/206
title: 00007280.JPG
DOI: 10.6084/m9.figshare.27650574
title: Data of oringinal tNGS results.xlsx

description: Data of tNGS results for MPP patients
DOI: 10.6084/m9.figshare.27650574.v1
title: Data of oringinal tNGS results.xlsx

description: Data of tNGS results for MPP patients
DOI: 10.18419/darus-1345/207
title: 00007365.JPG
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title: 00007187.JPG
DOI: 10.18419/darus-1345/232
title: PL05_02-20.ply
DOI: 10.6084/m9.figshare.27262470
title: Data.zip

description: Raw data in the article.
DOI: 10.6084/m9.figshare.27262470.v3
title: Data.zip

description: Raw data in the article.
DOI: 10.18419/darus-1345
title: 3D Photogrammetric-Data for PL05/02-20

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: inertial platforms
DOI: 10.18419/darus-1345/233
title: PL05_02-20.ply.rcInfo
DOI: 10.6084/m9.figshare.27262470.v2
title: Data.zip

description: Raw data in the article.
DOI: 10.18419/darus-1120/7
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title: MM02-17.obj
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title: 00006985.JPG
DOI: 10.18419/darus-1120/3
title: MM02-17.las
DOI: 10.18419/darus-1120/4
title: MM02-17.mtl
DOI: 10.18419/darus-1120/1
title: MM02-17.ply
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DOI: 10.15468/dl.v2ff6j
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((36.73828 37.85751,51.50391 37.85751,51.50391 46.19504,36.73828 46.19504,36.73828 37.85751))",
 "TaxonKey is Abies nordmanniana (Steven) Spach",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 497 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015451-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1120/73
title: 00007005.JPG
DOI: 10.15468/dl.a4yhh3
title: Occurrence Download

description: A dataset containing 1967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((36.73828 37.85751,50.97656 37.85751,50.97656 45.70618,36.73828 45.70618,36.73828 37.85751))",
 "TaxonKey is Carpinus betulus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1967 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017364-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkaz3a
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((36.91406 37.23033,51.24023 37.23033,51.24023 46.49839,36.91406 46.49839,36.91406 37.23033))",
 "TaxonKey is Picea orientalis (L.) Peterm.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 194 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015449-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvhjhs
title: Occurrence Download

description: A dataset containing 3009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((41.66016 40.44695,44.73633 37.71859,51.15234 37.92687,52.20703 46.31658,36.5625 46.31658,41.66016 40.44695))",
 "TaxonKey is Fagus orientalis Lipsky",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3009 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017354-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1120/74
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DOI: 10.6084/m9.figshare.27645786
title: "Green AI: Which Programming Language Consumes the Most?": Replication Package

description: Companion package of the study "Green AI: Which Programming Language Consumes the Most?", submitted for revision at the 9th International Workshop on Green and Sustainable Software (GREENS’25).<br><br>This package was developed to support the independent reproduction of the results presented in the paper, and the scrutiny of the experimental data collection procedure.
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DOI: 10.5281/zenodo.14066154
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.