cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8303281
title: 2023 ASI OzSingleCell System Immunology Hackathon Dataset

description: Dataset for the 2023 ASI OzSingleCell System Immunology hackathon. The hackathon aims to bring together experimental (wet-lab) and computational (dry-lab) scientists working in the field of clonal biology, including those working with single-cell technologies like lentiviral barcoding, BCR/TCR clonotyping, and mitochondrial lineage tracing. Others from disparate fields such as UX/UI engineers, AI/ML, deep learning, graph neural networks, computer vision or image preprocessing, causal inference are also encouraged to attend. Data challenges may involve developing new methods for intra-/inter-clonal gene expression signatures, data architecture of clonotype information, or data visualisation. More information is available on our website: https://2023-asi-ozsinglecell-hackathon.github.io/system-immunology-hackathon/
DOI: 10.57841/casdc.0002877
title: 具有双电子转移的高能量密度溴基液流电池
DOI: 10.57841/casdc.0002878
title: 固体氧化物电解池零件测试数据集
DOI: 10.34740/kaggle/dsv/6673637
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6673638
title: OnlineFree
DOI: 10.25340/r4/dwzwdi
title: Related Data for: Trilingualism, education and ethnic language subjectivities

description: This study investigates the subjectivities of tertiary students in the Guangxi Zhuang Autonomous Region (GZAR) of the People's Republic of China. Specifically, we investigate self-reported language practices and attitudes in relation to identities in a language ecology with three prominent languages (Zhuang, Standard Chinese [Putonghua], and English). This mixed methods study shows that despite the population size and some educational support, Zhuang language vitality is challenged through subjectivities linked to promotion of Putonghua and Zhuang specific factors (e.g. script and dialectal variations). In addition, the data show multiple interpretations of what mother tongue might mean to people in this region, including those of Zhuang ethnicity. The study leads to insights on multilingualism in this region. It also suggests that a language ecology approach is useful for understanding subjectivities as multifaceted, with multiple influences, helping us better understand why implementation of national policies or community supports on their own are insufficient for language maintenance efforts.
DOI: 10.34740/kaggle/dsv/6673613
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5285/cc1b2bd9-2099-4fea-a731-6b4cf3d4c2be
title: Surface and Meteorological Data of Saltation and Ripple Dynamics at Huab Dune Field, Skeleton Coast National Park, Namibia 2014, 2016 and 2018
DOI: 10.6084/m9.figshare.24297412
title: Mechanism of Bakuchiol-induced liver injury in mice by transcriptomic, proteomic, and metabolomic analyses

description: <b>Backgrounds:</b> Existing research has confirmed that <i>Psoralea corylifolia L.</i>, i.e., Fructus Psoraleae (FP), results in hepatotoxicity. In our previous study, Bakuchiol (Bak) was indicated as one of the main toxic components in FP. However, the exact underlying mechanism of how toxic components contained in FP react remains unclear.<b>Methods</b><b>:</b> In this study, toxicity was evaluated initially in ICR mice to confirm the hepatotoxicity of Bak. Subsequently, the transcription of genes, the up-regulated expression of proteins and changes of metabolite spectrum in a biological system in accordance with system pharmacology and multi-omics profiling strategy were investigated to reveal its toxic mechanism.<b>Results</b><b>: </b>Results show an obvious Bak-induced hepatotoxicity in our experiment. The mice administrated with Bak for 4 weeks exhibited significantly increased liver weight, liver/body weight ratio, and liver/brain weight ratio. To be specific, the liver/brain weight ratio was increased by 17.66%. The significant apoptosis of hepatocytes and hollow atrophy of nuclei were indicated by the TUNEL assay on the hepatotoxicity of Bak in mice. The mice administrated with Bak for 4 weeks showed significant apoptosis of hepatocytes, and the stained nucleus was hollow. In general, the pathways associated with Bak-induced hepatotoxicity were associated with bile secretion, primary bile acid synthesis, fatty acid biosynthesis, PPAR signaling pathway, fatty acid metabolism, and biosynthesis of unsaturated fatty acids. Moreover, 19 differentially expressed genes and proteins significantly associated with the above lipid metabolic process were screened, which were significantly associated with lipid metabolism. Next, 18 different metabolites associated with lipid metabolism were selected, which were primarily concentrated in glycerophospholipids, fatty acids, and bile acids. Glycerophospholipid metabolism disorder was outstanding and induce apoptotic process, leading to liver injury, which is consistent with previous characterization.<b>Conclusion</b><b>:</b> The results analyzed and screened using multi-omics displayed consistent trends with those obtained in the hepatocyte phenotype that was tested by organ weights, relative organ weights, histopathological changes, and TUNEL assay. The study initially employed system pharmacology and 3-omics profiling strategy to propose Bak-induced liver injury in mice and elucidate the mechanism, providing insights into improved safety assessment of oral administration of FP.
DOI: 10.6084/m9.figshare.24297412.v1
title: Mechanism of Bakuchiol-induced liver injury in mice by transcriptomic, proteomic, and metabolomic analyses

description: <b>Backgrounds:</b> Existing research has confirmed that <i>Psoralea corylifolia L.</i>, i.e., Fructus Psoraleae (FP), results in hepatotoxicity. In our previous study, Bakuchiol (Bak) was indicated as one of the main toxic components in FP. However, the exact underlying mechanism of how toxic components contained in FP react remains unclear.<b>Methods</b><b>:</b> In this study, toxicity was evaluated initially in ICR mice to confirm the hepatotoxicity of Bak. Subsequently, the transcription of genes, the up-regulated expression of proteins and changes of metabolite spectrum in a biological system in accordance with system pharmacology and multi-omics profiling strategy were investigated to reveal its toxic mechanism.<b>Results</b><b>: </b>Results show an obvious Bak-induced hepatotoxicity in our experiment. The mice administrated with Bak for 4 weeks exhibited significantly increased liver weight, liver/body weight ratio, and liver/brain weight ratio. To be specific, the liver/brain weight ratio was increased by 17.66%. The significant apoptosis of hepatocytes and hollow atrophy of nuclei were indicated by the TUNEL assay on the hepatotoxicity of Bak in mice. The mice administrated with Bak for 4 weeks showed significant apoptosis of hepatocytes, and the stained nucleus was hollow. In general, the pathways associated with Bak-induced hepatotoxicity were associated with bile secretion, primary bile acid synthesis, fatty acid biosynthesis, PPAR signaling pathway, fatty acid metabolism, and biosynthesis of unsaturated fatty acids. Moreover, 19 differentially expressed genes and proteins significantly associated with the above lipid metabolic process were screened, which were significantly associated with lipid metabolism. Next, 18 different metabolites associated with lipid metabolism were selected, which were primarily concentrated in glycerophospholipids, fatty acids, and bile acids. Glycerophospholipid metabolism disorder was outstanding and induce apoptotic process, leading to liver injury, which is consistent with previous characterization.<b>Conclusion</b><b>:</b> The results analyzed and screened using multi-omics displayed consistent trends with those obtained in the hepatocyte phenotype that was tested by organ weights, relative organ weights, histopathological changes, and TUNEL assay. The study initially employed system pharmacology and 3-omics profiling strategy to propose Bak-induced liver injury in mice and elucidate the mechanism, providing insights into improved safety assessment of oral administration of FP.
DOI: 10.5281/zenodo.8434117
title: GENEA Challenge 2023 Human-Likeness subjective evaluation data

description: This repository contains human-likeness user-study response data and associated analyses from the GENEA Challenge 2023. The code was written by Gustav Eje Henter and is released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. <strong>The archive contains:</strong><br> * This README.txt file.<br> * A LICENSE.txt file.<br> * A JSON file containing all human-likeness user-study responses included in the analyses.<br> * MATLAB .m files for reproducing the above analyses (both tables and figures).<br> * A folder called "output" that contains all files written by the analysis script, including .mat files with all the results computed by each analysis, as well as files created when compiling the final, pretty-looking pdf figures.<br> * A file output.txt that contains all output written to the MATLAB Command Window when running the analyses. <strong>Requirements:</strong><br> * MATLAB and MATLAB Image Processing Toolbox<br> * distinguishable_colors.m by Timothy E. Holy (https://www.mathworks.com/matlabcentral/fileexchange/29702-generate-maximally-perceptually-distinct-colors)<br> * fragmaster by Augustin Martin Domingo and Tilman Vogel (https://ctan.org/pkg/fragmaster), a LaTeX utility<br> This was last tested on 2023-10-08 on MATLAB version 9.10.0.1739362 (R2021a) Update 5, running on macOS version 13.2 build 22D49. <strong>To re-generate/reproduce</strong> the contents in the "output" folder:<br> 0. Ensure that all requirements are met.<br> 1. Run through the entire analysis script "run_analyses.m".<br> 2. Run the fragmaster command in the "output" folder. <strong>Attribution:</strong><br> If you use this material in a scientific publication, please cite our latest paper on the GENEA Challenge 2023. At the time of writing (2023-10-08) this is our ACM ICMI 2023 paper. You can use the following BibTeX code to cite that work:<br> @inproceedings{kucherenko2023genea,<br> author={Kucherenko, Taras and Nagy, Rajmund and Yoon, Youngwoo and Woo, Jieyeon and Nikolov, Teodor and Tsakov, Mihail and Henter, Gustav Eje},<br> title={The {GENEA} {C}hallenge 2023: {A} large-scale evaluation of gesture generation models in monadic and dyadic settings},<br> booktitle = {Proceedings of the ACM International Conference on Multimodal Interaction},<br> publisher = {ACM},<br> series = {ICMI '23},<br> year={2023}<br> } <strong>To find more</strong> GENEA Challenge 2023 material on the web, please see:<br> * https://svito-zar.github.io/GENEAchallenge2023/<br> * https://genea-workshop.github.io/2023/challenge/ <strong>If you have any questions</strong> or comments, please contact:<br> * Gustav Eje Henter &lt;ghe@kth.se&gt;<br> * The GENEA Challenge organisers &lt;genea-challenge@googlegroups.com&gt;
DOI: 10.5281/zenodo.8434116
title: GENEA Challenge 2023 Human-Likeness subjective evaluation data

description: This repository contains human-likeness user-study response data and associated analyses from the GENEA Challenge 2023. The code was written by Gustav Eje Henter and is released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. <strong>The archive contains:</strong><br> * This README.txt file.<br> * A LICENSE.txt file.<br> * A JSON file containing all human-likeness user-study responses included in the analyses.<br> * MATLAB .m files for reproducing the above analyses (both tables and figures).<br> * A folder called "output" that contains all files written by the analysis script, including .mat files with all the results computed by each analysis, as well as files created when compiling the final, pretty-looking pdf figures.<br> * A file output.txt that contains all output written to the MATLAB Command Window when running the analyses. <strong>Requirements:</strong><br> * MATLAB and MATLAB Image Processing Toolbox<br> * distinguishable_colors.m by Timothy E. Holy (https://www.mathworks.com/matlabcentral/fileexchange/29702-generate-maximally-perceptually-distinct-colors)<br> * fragmaster by Augustin Martin Domingo and Tilman Vogel (https://ctan.org/pkg/fragmaster), a LaTeX utility<br> This was last tested on 2023-10-08 on MATLAB version 9.10.0.1739362 (R2021a) Update 5, running on macOS version 13.2 build 22D49. <strong>To re-generate/reproduce</strong> the contents in the "output" folder:<br> 0. Ensure that all requirements are met.<br> 1. Run through the entire analysis script "run_analyses.m".<br> 2. Run the fragmaster command in the "output" folder. <strong>Attribution:</strong><br> If you use this material in a scientific publication, please cite our latest paper on the GENEA Challenge 2023. At the time of writing (2023-10-08) this is our ACM ICMI 2023 paper. You can use the following BibTeX code to cite that work:<br> @inproceedings{kucherenko2023genea,<br> author={Kucherenko, Taras and Nagy, Rajmund and Yoon, Youngwoo and Woo, Jieyeon and Nikolov, Teodor and Tsakov, Mihail and Henter, Gustav Eje},<br> title={The {GENEA} {C}hallenge 2023: {A} large-scale evaluation of gesture generation models in monadic and dyadic settings},<br> booktitle = {Proceedings of the ACM International Conference on Multimodal Interaction},<br> publisher = {ACM},<br> series = {ICMI '23},<br> year={2023}<br> } <strong>To find more</strong> GENEA Challenge 2023 material on the web, please see:<br> * https://svito-zar.github.io/GENEAchallenge2023/<br> * https://genea-workshop.github.io/2023/challenge/ <strong>If you have any questions</strong> or comments, please contact:<br> * Gustav Eje Henter &lt;ghe@kth.se&gt;<br> * The GENEA Challenge organisers &lt;genea-challenge@googlegroups.com&gt;
DOI: 10.23729/0d4b355b-8ed9-466a-a6db-86843e62262a
title: CNNs to resolve algae pigments from absorbance spectra
title: CNNs to resolve algae pigments from absorbance spectra

description: These data are absorbance spectra, photosynthetic pigment concentrations of lake water samples and one dimensional convolutional neural network-based calibration models to resolve the pigments from the spectra. Please see README.txt for more detailed description of the data.
DOI: 10.23729/20a62a08-e776-47f4-96e5-e8e3475d8c4a
title: Spectral images of water samples from 20 lakes in Scotland
title: Skotlannissa sijaitsevien 20 järven vesinäytteiden spektrikuvat

description: These data are transmission spectral images of concentrated lake water samples on 24 well plates. The dataset also includes a data description (README.txt), sample locations in the images and Python Notebooks for preprocessing the spectral images.
description: Tämä tietokokonaisuus koostuu 24-kuoppalevyille aseteltujen, tiivistettyjen järvivesinäytteiden läpäisyspektrikuvista. Tietokokonaisuus sisältää myös datan kuvailun (README.txt), näytteiden sijainnin kuvissa ja Python-tietokirjat spektrikuvien esikäsittelyä varten.
DOI: 10.6084/m9.figshare.22580554
title: methylation_information.txt

description: methylation information
DOI: 10.6084/m9.figshare.22580554.v1
title: methylation_information.txt

description: methylation information
DOI: 10.57745/42epi8
title: rpg_complete_2021_d66.zip

description: :unav
DOI: 10.57745/8wglmt
title: rpg_complete_2021_d11.zip

description: :unav
DOI: 10.57745/vpayk5
title: rpg_complete_2021_d34.zip

description: :unav
DOI: 10.57745/1pgaaq
title: rpg_complete_2021_d48.zip

description: :unav
DOI: 10.57745/p6ptxi
title: rpg_complete_2021_d30.zip

description: :unav
DOI: 10.57745/c3nqvs
title: notice_RPG_complété_v3.pdf

description: :unav
DOI: 10.5517/ccdc.csd.cc2fcpj1
title: CCDC 2245563: Experimental Crystal Structure Determination

description: Related Article: Riya Nagar, Dinesh Suwalka, Bhanwar Kumar Malviya, Ved Prakash Verma, Amanpreet Kaur Jassal, Siddharth Sharma|2023|J.Org.Chem.|88|13977|doi:10.1021/acs.joc.3c01532
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.cc2fd7y1
title: CCDC 2246103: Experimental Crystal Structure Determination

description: Related Article: Sai-Ya Lian, Ning Li, Yin Tian, Cheng Peng, Ming-Sheng Xie, Hai-Ming Guo|2023|J.Org.Chem.|88|13771|doi:10.1021/acs.joc.3c01410
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.cc2gfrpc
title: CCDC 2277343: Experimental Crystal Structure Determination

description: Related Article: Shuoyan Xiong, Manar M. Shoshani, Alex J. Nett, Heather A. Spinney, Briana S. Henderson, Theodor Agapie|2023|Organometallics|42|2849|doi:10.1021/acs.organomet.3c00307
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.cc2gfrqd
title: CCDC 2277344: Experimental Crystal Structure Determination

description: Related Article: Shuoyan Xiong, Manar M. Shoshani, Alex J. Nett, Heather A. Spinney, Briana S. Henderson, Theodor Agapie|2023|Organometallics|42|2849|doi:10.1021/acs.organomet.3c00307
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.cc2gfrrf
title: CCDC 2277345: Experimental Crystal Structure Determination

description: Related Article: Shuoyan Xiong, Manar M. Shoshani, Alex J. Nett, Heather A. Spinney, Briana S. Henderson, Theodor Agapie|2023|Organometallics|42|2849|doi:10.1021/acs.organomet.3c00307
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.cc2gfrsg
title: CCDC 2277346: Experimental Crystal Structure Determination

description: Related Article: Shuoyan Xiong, Manar M. Shoshani, Alex J. Nett, Heather A. Spinney, Briana S. Henderson, Theodor Agapie|2023|Organometallics|42|2849|doi:10.1021/acs.organomet.3c00307
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.cc2fcph0
title: CCDC 2245562: Experimental Crystal Structure Determination

description: Related Article: Riya Nagar, Dinesh Suwalka, Bhanwar Kumar Malviya, Ved Prakash Verma, Amanpreet Kaur Jassal, Siddharth Sharma|2023|J.Org.Chem.|88|13977|doi:10.1021/acs.joc.3c01532
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: 10.5281/zenodo.8434148
title: Surface peat data, Geological Survey of Finland

description: Surface peat data (0-40 cm) from the national peatland inventory of the Geological Survey of Finland (GTK): Water%, dry bulk density (gdm-3), ash% (loss-on-ignition (LOI) at 815 ºC), decomposition rate (von Post's (1922) 10-grade scale, H1-10), C%, N%, CH ratio and S%. All peat profiles were collected between 1977 and 2017. The dry bulk density is given for all volumetric peat profiles.
DOI: 10.5281/zenodo.8434147
title: Surface peat data, Geological Survey of Finland

description: Surface peat data (0-40 cm) from the national peatland inventory of the Geological Survey of Finland (GTK): Water%, dry bulk density (gdm-3), ash% (loss-on-ignition (LOI) at 815 ºC), decomposition rate (von Post's (1922) 10-grade scale, H1-10), C%, N%, CH ratio and S%. All peat profiles were collected between 1977 and 2017. The dry bulk density is given for all volumetric peat profiles.
DOI: 10.57841/casdc.0002879
title: 闭式布雷顿循环系统变负荷运行特性分析数据集
DOI: 10.57841/casdc.0002880
title: 10MWth氦气轮机甩负荷仿真瞬态参数数据集
DOI: 10.57841/casdc.0002881
title: 毛细管换热器冷态壳程阻力特性试验数据集
DOI: 10.57841/casdc.0002882
title: 氦气轮机测试系统性能匹配试验数据集
DOI: 10.57841/casdc.0002883
title: 毛细管换热器试验测试数据集
DOI: 10.4121/8c542faa-e880-485d-8b4d-bd30e5936da4
title: Data underlying the research of The Influence of Meta-cognitive Listening Strategies on Listening Performance in the MALL：The Mediation Effect of Learning Style and Self-Efficacy

description: The ability to understand listening is an essential skill for non-native speakers of English as a foreign language (EFL). Research has shown that several factors can influence EFL students' English listening comprehension, including the listening strategy they use during listening activities. This study, therefore, used the meta-cognitive listening strategy to explore the mediation role of learning style and self-efficacy in the relationship with listening performance.In this study, 632 Chinese university students participated in a survey and completed electronic questionnaires on MALQ (Meta-cognitive Awareness of Listening Questionnaire), PLSPQ (Perceptual Learning Style Preference Questionnaire), and GSE (General Self-Efficacy Scale). The data were analyzed using AMOS software and a structural equation modeling (SEM) technique. The results showed that students’ listening strategy directly and positively predicted their English listening performance. Moreover, students’ listening performance was fully mediated by learning style and self-efficacy. After discussing these findings, suggestions as well as limitations for future studies will be given.The findings of this study are expected to contribute to a better understanding of the factors that may affect EFL students' English listening comprehension and inform instructional practices in the EFL classroom. Specifically, the results of this study may suggest the use of teaching strategies tailored to individual learning styles and the adoption of measures to improve self-efficacy of EFL students. Ultimately, the goal of this research is to improve EFL students' English listening comprehension skills and enhance their overall language proficiency.