cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8144515
title: Open Data of the article "Literal vs. default translation. Challenging the constructs with Middle Egyptian translation as an extreme case in point"

description: The file contains the datasets and the code generated for the analyses presented in the article "Literal vs. default translation. Challenging the constructs with Middle Egyptian translation as an extreme case in point", to be published in <em>Sendebar</em> in 2023. Abstract of the article: This paper presents the results of a study that compares the constructs of literal translation (Schaeffer & Carl, 2014) and default translation (Halverson, 2019) by means of an observational, exploratory study with Middle Egyptian translation as an extreme case in point. Two graduating students of the MA in Egyptology at Universitat Autònoma de Barcelona and three recent graduates of the same MA took part in the study. They translated two excerpts from two Middle Egyptian literary texts into Spanish. InputLog was used to collect translation-process data and derive word-level indicators of cognitive effort (typos per word, word typing speed, and within-word pause) from them. Results showed a clear link between default translations and cognitive effort (low number of typos, low number of respites, and fast writing speed). However, the assumption that deviations from literality cause greater cognitive effort was not observed. Hence, default translation may serve as a more adequate construct to describe the regular way translators perform.
description: The pre-registration of the study can be found here: https://osf.io/9d6ra/
DOI: 10.5281/zenodo.8144514
title: Open Data of the article "Literal vs. default translation. Challenging the constructs with Middle Egyptian translation as an extreme case in point"

description: The file contains the datasets and the code generated for the analyses presented in the article "Literal vs. default translation. Challenging the constructs with Middle Egyptian translation as an extreme case in point", to be published in <em>Sendebar</em> in 2023. Abstract of the article: This paper presents the results of a study that compares the constructs of literal translation (Schaeffer & Carl, 2014) and default translation (Halverson, 2019) by means of an observational, exploratory study with Middle Egyptian translation as an extreme case in point. Two graduating students of the MA in Egyptology at Universitat Autònoma de Barcelona and three recent graduates of the same MA took part in the study. They translated two excerpts from two Middle Egyptian literary texts into Spanish. InputLog was used to collect translation-process data and derive word-level indicators of cognitive effort (typos per word, word typing speed, and within-word pause) from them. Results showed a clear link between default translations and cognitive effort (low number of typos, low number of respites, and fast writing speed). However, the assumption that deviations from literality cause greater cognitive effort was not observed. Hence, default translation may serve as a more adequate construct to describe the regular way translators perform.
description: The pre-registration of the study can be found here: https://osf.io/9d6ra/
DOI: 10.6084/m9.figshare.23561538
title: Systematic Review Community Science Validation

description: Concerns about the credibility of community science and its ability to generate valid species observations limit its use within scientific research. Pre-collection and post-validation methods can be critical in filtering community science data to ensure it produces accurate results. Twenty-four validation criteria were developed to conduct a systematic review assessing the use of community science in previous research to identify (1) the frequency that these criteria are applied, (2) how to ensure community science data collection is accurate, and (3) pre-collection and post-validation techniques that filter inaccurate data. We conducted a systematic review of the literature on community science studies using occurrence data within the last year (2021). Each study was individually reviewed to determine its inclusion in our review. For a paper to be included, it needed to satisfy three criteria: (1) the article must use or collect community science data, (2) community science is used to obtain incidental observations of a terrestrial organism, and (3) the authors of the study performed some form of pre or post-collection validation techniques to ensure their data was credible. All included studies were evaluated to determine if any of the twenty-four validation criteria were applied.
DOI: 10.6084/m9.figshare.23561538.v1
title: Systematic Review Community Science Validation

description: Concerns about the credibility of community science and its ability to generate valid species observations limit its use within scientific research. Pre-collection and post-validation methods can be critical in filtering community science data to ensure it produces accurate results. Twenty-four validation criteria were developed to conduct a systematic review assessing the use of community science in previous research to identify (1) the frequency that these criteria are applied, (2) how to ensure community science data collection is accurate, and (3) pre-collection and post-validation techniques that filter inaccurate data. We conducted a systematic review of the literature on community science studies using occurrence data within the last year (2021). Each study was individually reviewed to determine its inclusion in our review. For a paper to be included, it needed to satisfy three criteria: (1) the article must use or collect community science data, (2) community science is used to obtain incidental observations of a terrestrial organism, and (3) the authors of the study performed some form of pre or post-collection validation techniques to ensure their data was credible. All included studies were evaluated to determine if any of the twenty-four validation criteria were applied.
DOI: 10.5281/zenodo.8144495
title: RodolfoPelinson/IsolationAgrochemicals: IsolationAgrochemicals

description: This is the code and data used in the paper by Pelinson et. al. 2023 titled "<strong>Impacts of agrochemical intensification and spatial isolation on the assembly and reassembly of temporary pond metacommunities</strong>". If you are interested in a walk-through of the data analysis in the paper check out the links to the markdown files on the README page of https://github.com/RodolfoPelinson/IsolationAgrochemicals To access only the Data used in this paper go to the Data file. There you will find csv files with all of the data used in this paper. <strong>Full Changelog</strong>: https://github.com/RodolfoPelinson/IsolationAgrochemicals/commits/v1.0
DOI: 10.5281/zenodo.8144494
title: RodolfoPelinson/IsolationAgrochemicals: IsolationAgrochemicals

description: This is the code and data used in the paper by Pelinson et. al. 2023 titled "<strong>Impacts of agrochemical intensification and spatial isolation on the assembly and reassembly of temporary pond metacommunities</strong>". If you are interested in a walk-through of the data analysis in the paper check out the links to the markdown files on the README page of https://github.com/RodolfoPelinson/IsolationAgrochemicals To access only the Data used in this paper go to the Data file. There you will find csv files with all of the data used in this paper. <strong>Full Changelog</strong>: https://github.com/RodolfoPelinson/IsolationAgrochemicals/commits/v1.0
DOI: 10.5517/ccdc.csd.cc2dl1hk
title: CCDC 2221878: Experimental Crystal Structure Determination

description: Related Article: Hayato Anetai, Yoshitaka Matsushita, Takahito Ohmura, Masayuki Takeuchi|2023|Cryst.Growth Des.|23|4025|doi:10.1021/acs.cgd.2c01394
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dlmtg
title: CCDC 2222446: Experimental Crystal Structure Determination

description: Related Article: Bing-Qing Zhao, Xiao-Xian Chen, Hui Ye, Ya-Ping Gong, Jun Wang, Le Ye, Wei-Xiong Zhang|2023|Chemical Science|14|5965|doi:10.1039/D3SC01101A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dlmwj
title: CCDC 2222448: Experimental Crystal Structure Determination

description: Related Article: Bing-Qing Zhao, Xiao-Xian Chen, Hui Ye, Ya-Ping Gong, Jun Wang, Le Ye, Wei-Xiong Zhang|2023|Chemical Science|14|5965|doi:10.1039/D3SC01101A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dl1km
title: CCDC 2221880: Experimental Crystal Structure Determination

description: Related Article: Hayato Anetai, Yoshitaka Matsushita, Takahito Ohmura, Masayuki Takeuchi|2023|Cryst.Growth Des.|23|4025|doi:10.1021/acs.cgd.2c01394
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f53rh
title: CCDC 2239246: Experimental Crystal Structure Determination

description: Related Article: Misaki Nakagawa, Shinpei Kusaka, Atsushi Kiyose, Toshinobu Nakajo, Hiroaki Iguchi, Motohiro Mizuno, Ryotaro Matsuda|2023|J.Am.Chem.Soc.|145|12059|doi:10.1021/jacs.3c01225
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f53sj
title: CCDC 2239247: Experimental Crystal Structure Determination

description: Related Article: Misaki Nakagawa, Shinpei Kusaka, Atsushi Kiyose, Toshinobu Nakajo, Hiroaki Iguchi, Motohiro Mizuno, Ryotaro Matsuda|2023|J.Am.Chem.Soc.|145|12059|doi:10.1021/jacs.3c01225
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/6130549
title: Beer Oasis :  Sip & Savor Crafty Delights!
DOI: 10.5281/zenodo.8144320
title: Gastrointestinal transit time

description: GI Transit time for a-synuclein<sub>32-46</sub>, CFA-only, PBS immunized HLA mice. GI transit time for a-synuclein<sub>32-46</sub> immunized HLA mice with T cell depletions are included. Corresponds to Figures 2 and 6
DOI: 10.5281/zenodo.8144336
title: Weight changes

description: Weight changes in a-syn<sub>32-46</sub>, CFA-only, PBS immunized HLA mice and a-syn<sub>32-46</sub>-immunized HLA mice with T cell depletion.
DOI: 10.5281/zenodo.8144337
title: Weight changes

description: Weight changes in a-syn<sub>32-46</sub>, CFA-only, PBS immunized HLA mice and a-syn<sub>32-46</sub>-immunized HLA mice with T cell depletion.
DOI: 10.5281/zenodo.8144319
title: Gastrointestinal transit time

description: GI Transit time for a-synuclein<sub>32-46</sub>, CFA-only, PBS immunized HLA mice. GI transit time for a-synuclein<sub>32-46</sub> immunized HLA mice with T cell depletions are included. Corresponds to Figures 2 and 6
DOI: 10.5281/zenodo.8144252
title: Enteric neuron and macrophage quantification following T cell depletion

description: MHC-II (-/-) mice expressing HLA DRB1*15:01 were immunized with a-synuclein<sub>32-46</sub>. Data includes three conditions: isotype control, anti-CD4, and anti-CD8 T cell depleting antibodies. Enteric neuron (ANNA1<sup>+</sup>), macrophage density (IBA1<sup>+</sup>), tyrosine hydroxylase (TH<sup>+</sup>) neuron, TH<sup>+</sup> area and mean fluorescence intensity in the myenteric and submucosal plexus of the ileum were quantified.
DOI: 10.5281/zenodo.8144253
title: Enteric neuron and macrophage quantification following T cell depletion

description: MHC-II (-/-) mice expressing HLA DRB1*15:01 were immunized with a-synuclein<sub>32-46</sub>. Data includes three conditions: isotype control, anti-CD4, and anti-CD8 T cell depleting antibodies. Enteric neuron (ANNA1<sup>+</sup>), macrophage density (IBA1<sup>+</sup>), tyrosine hydroxylase (TH<sup>+</sup>) neuron, TH<sup>+</sup> area and mean fluorescence intensity in the myenteric and submucosal plexus of the ileum were quantified.
DOI: 10.5281/zenodo.8139874
title: 18, 28, 42 DPI neuron and macrophage quantifications

description: MHC-II (-/-) mice expressing HLA DRB1*15:01 were immunized with a-synuclein<sub>32-46</sub> peptide in complete Freund's adjuvant (CFA), CFA alone, or PBS alone. Enteric neuron density (ANNA1<sup>+</sup>), tyrosine hydroxylase (TH) neuron density, TH<sup>+</sup> area and mean fluorescence intensity, and macrophage density (IBA1<sup>+</sup>) were quantified from the submucosal plexus and myenteric plexus of mice at 18, 28, and 42 days post immunization. These values were normalized to the CFA-only condition.
DOI: 10.5281/zenodo.8139875
title: 18, 28, 42 DPI neuron and macrophage quantifications

description: MHC-II (-/-) mice expressing HLA DRB1*15:01 were immunized with a-synuclein<sub>32-46</sub> peptide in complete Freund's adjuvant (CFA), CFA alone, or PBS alone. Enteric neuron density (ANNA1<sup>+</sup>), tyrosine hydroxylase (TH) neuron density, TH<sup>+</sup> area and mean fluorescence intensity, and macrophage density (IBA1<sup>+</sup>) were quantified from the submucosal plexus and myenteric plexus of mice at 18, 28, and 42 days post immunization. These values were normalized to the CFA-only condition.
DOI: 10.5281/zenodo.7988132
title: Membrane interaction and mechanism of LC3 lipidation machinery in autophagy raw GUV data

description: Raw GUV data of fluorescent protein imaged on a Nikon A1 confocal microscope with a 63 × Plan 359 Apochromat 1.4 NA objective. Three biological replicates were performed for each experimental 360 condition. Identical laser power and gain settings were used during the course of all conditions.
DOI: 10.5281/zenodo.7988131
title: Membrane interaction and mechanism of LC3 lipidation machinery in autophagy raw GUV data

description: Raw GUV data of fluorescent protein imaged on a Nikon A1 confocal microscope with a 63 × Plan 359 Apochromat 1.4 NA objective. Three biological replicates were performed for each experimental 360 condition. Identical laser power and gain settings were used during the course of all conditions.
DOI: 10.21227/wtzj-ng81
title: Data of the 8 editions of a databases escape room

description: The acquisition of database knowledge is an essential component for those pursuing software engineering, computer science, or engaging in the IT field. Our research involved an in-depth analysis of a remote educational escape room designed specifically for teaching databases in various higher education courses over two consecutive academic years. To evaluate the effectiveness of this approach, we employed three assessment tools: a pre- and post-test to measure the learning outcomes of the escape room, a questionnaire to gather student perceptions and feedback, and a web platform that discreetly recorded students' interactions and performance during the activity. Our findings present groundbreaking evidence that remote educational escape rooms can deliver an engaging and highly effective method for teaching databases to students. The dataset contains the data of the 8 editions of the remote educational escape room conducted.
DOI: 10.5281/zenodo.8032204
title: Parcel3D - A Synthetic Dataset of Damaged and Intact Parcel Images with 2D and 3D Annotations

description: Synthetic dataset of over 13,000 images of damaged and intact parcels with full 2D and 3D annotations in the COCO format. For details see our paper and for visual samples our project page. <br> Relevant computer vision tasks: bounding box detection classification instance segmentation keypoint estimation 3D bounding box estimation 3D voxel reconstruction 3D reconstruction The dataset is for <strong>academic research use only</strong>, since it uses resources with restrictive licenses.<br> For a detailed description of how the resources are used, we refer to our paper and project page. Licenses of the resources in detail: Google Scanned Objects: CC BY 4.0 (for details on which files are used, see the respective <em>meta </em>folder) Cardboard Dataset: CC BY 4.0 Shipping Label Dataset: CC BY-NC 4.0 Other Labels: See file <em>misc/source_urls.json</em> LDR Dataset: License for Non-Commercial Use Large Logo Dataset (LLD): Please notice that this dataset is made available for academic research purposes only. All the images are collected from the Internet, and the copyright belongs to the original owners. If any of the images belongs to you and you would like it removed, please kindly inform us, we will remove it from our dataset immediately. You can use our textureless models (i.e. the <em>obj</em> files) of damaged parcels under CC BY 4.0 (note that this does not apply to the textures). If you use this resource for scientific research, please consider citing <pre><code>@inproceedings{naumannParcel3DShapeReconstruction2023, author = {Naumann, Alexander and Hertlein, Felix and D\"orr, Laura and Furmans, Kai}, title = {Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4402-4412} }</code></pre>
DOI: 10.5281/zenodo.8032203
title: Parcel3D - A Synthetic Dataset of Damaged and Intact Parcel Images with 2D and 3D Annotations

description: Synthetic dataset of over 13,000 images of damaged and intact parcels with full 2D and 3D annotations in the COCO format. For details see our paper and for visual samples our project page. <br> Relevant computer vision tasks: bounding box detection classification instance segmentation keypoint estimation 3D bounding box estimation 3D voxel reconstruction 3D reconstruction The dataset is for <strong>academic research use only</strong>, since it uses resources with restrictive licenses.<br> For a detailed description of how the resources are used, we refer to our paper and project page. Licenses of the resources in detail: Google Scanned Objects: CC BY 4.0 (for details on which files are used, see the respective <em>meta </em>folder) Cardboard Dataset: CC BY 4.0 Shipping Label Dataset: CC BY-NC 4.0 Other Labels: See file <em>misc/source_urls.json</em> LDR Dataset: License for Non-Commercial Use Large Logo Dataset (LLD): Please notice that this dataset is made available for academic research purposes only. All the images are collected from the Internet, and the copyright belongs to the original owners. If any of the images belongs to you and you would like it removed, please kindly inform us, we will remove it from our dataset immediately. You can use our textureless models (i.e. the <em>obj</em> files) of damaged parcels under CC BY 4.0 (note that this does not apply to the textures). If you use this resource for scientific research, please consider citing <pre><code>@inproceedings{naumannParcel3DShapeReconstruction2023, author = {Naumann, Alexander and Hertlein, Felix and D\"orr, Laura and Furmans, Kai}, title = {Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4402-4412} }</code></pre>
DOI: 10.5281/zenodo.8041823
title: CBTex - A Dataset of Synthetic Cardboard Textures

description: Dataset of &gt;200 synthetic cardboard texture images that were rendered with DoubeGum's cardboard shader in Blender. Used to generate Parcel3D, the dataset for our paper on single image 3D reconstructions of potentially damaged parcels. See our project page for details. If you use this resource for scientific research, please consider citing <pre><code>@inproceedings{naumannParcel3DShapeReconstruction2023, author = {Naumann, Alexander and Hertlein, Felix and D\"orr, Laura and Furmans, Kai}, title = {Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4402-4412} }</code></pre>
DOI: 10.5281/zenodo.8041822
title: CBTex - A Dataset of Synthetic Cardboard Textures

description: Dataset of &gt;200 synthetic cardboard texture images that were rendered with DoubeGum's cardboard shader in Blender. Used to generate Parcel3D, the dataset for our paper on single image 3D reconstructions of potentially damaged parcels. See our project page for details. If you use this resource for scientific research, please consider citing <pre><code>@inproceedings{naumannParcel3DShapeReconstruction2023, author = {Naumann, Alexander and Hertlein, Felix and D\"orr, Laura and Furmans, Kai}, title = {Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4402-4412} }</code></pre>
DOI: 10.5281/zenodo.8031971
title: Parcel2D Real - A real-world image dataset of cuboid-shaped parcels with 2D and 3D annotations

description: Real-world dataset of ~400 images of cuboid-shaped parcels with full 2D and 3D annotations in the COCO format. Relevant computer vision tasks: bounding box detection instance segmentation keypoint estimation 3D bounding box estimation 3D voxel reconstruction (.binvox files) 3D reconstruction (.obj files) For details, see our paper and project page. If you use this resource for scientific research, please consider citing <pre><code>@inproceedings{naumannScrapeCutPasteLearn2022, title = {Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics}, author = {Naumann, Alexander and Hertlein, Felix and Zhou, Benchun and Dörr, Laura and Furmans, Kai}, booktitle = {{{IEEE Conference}} on {{Machine Learning}} and Applications ({{ICMLA}})}, date = 2022 }</code></pre>