cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21954/ou.rd.21476883.v3
title: Materials for mapping study: structured data to RDF

description: These files were used with participants in a study of the experience of using YARRRML and SPARQL Anything to map structured data, e.g. CSV, JSON and XML, to RDF. YARRRML is a mapping language, whereas SPARQL Anything is an extension of SPARQL which uses the CONSTRUCT query to define the mapping. <br> The study was a between-participants study, i.e. some participants were asked to use YARRRML and other participants were asked to use SPARQL Anything. Participants were observed undertaking a number of mapping tasks; the same mapping tasks were used for both conditions. Participants took part remotely, using Microsoft Teams, and their screen activity was recorded, along with any comments they made. Subsequent analysis of the recordings enabled a qualitative study of their experiences. <br> The files are:: * YARRRML tutorial * Information for YARRRML study participants, including questions * SPARQL Anything tutorial * Information for SPARQL Anything study participants, including questions * YARRRML.zip * SPARQL Anything.zip <br> Please note that the two tutorials are not comprehensive, but contain only the information required by participants in the study. <br> The two zip files were as sent out to participants immediately prior to the study. They contain: * The data files, i.e. artist_data.csv, artist38.csv; artwork.json, artwork.xml, artworkAttributes.xml. * For the YARRRML participants, 1.yml, 2.yml etc, which contain the YARRRML code requiring completion; and similarly for the SPARQL Anything participants, 1.sparql, 2.sparql etc, which contain the SPARQL Anything code requiring completion. * 1.ont, 2.ont etc., which contain the required output for each question. * A 'bak' folder which contain either 1.yml, 2.yml etc., or 1.sparql, 2.sparql etc., as appropriate. These were provided in case a participant wished to start a question again with a 'clean slate'. <br> The .yml, .sparql and .ont files in the two zip files are numbered as in the paper. Some participants were sent alternative zip files with the order of questions 3, 4, 5 and the order of questions 6, 7, 8 permuted.
DOI: 10.6084/m9.figshare.22844288
title: Supplementary Material for: Allostatic Load and Endocrine Disorders

description: The building of life stress, well expressed by the concept allostatic load, plays an important part in all phases of endocrine illness. Allostatic load refers to the cumulative burden of both stressful life events and chronic stress. When environmental challenges exceed the individual ability to cope, allostatic overload ensues. Assessment of allostatic load/overload by clinical measurements including indices and rating scales, in addition to biomarkers, offers a characterization of the person’s psychosocial environment that is missing from current formulations. Consideration of allostatic load in endocrinology may shed light on a number of clinical issues: interpretation of abnormal hormone values that lack explanations; coping with the various phases of illness; maladaptive illness behavior; response to treatment; presence of residual symptoms; health-damaging lifestyle habits. Addressing allostatic load calls for innovative models of endocrine outpatients with multidisciplinary organization of care, extended time for the interview, focus on rehabilitation. We provide an overview on the mechanisms of allostatic load, how it can be assessed, its potential role in endocrine disturbances, and how its consideration may lead to a needed innovation in patient care.
DOI: 10.6084/m9.figshare.22844288.v1
title: Supplementary Material for: Allostatic Load and Endocrine Disorders

description: The building of life stress, well expressed by the concept allostatic load, plays an important part in all phases of endocrine illness. Allostatic load refers to the cumulative burden of both stressful life events and chronic stress. When environmental challenges exceed the individual ability to cope, allostatic overload ensues. Assessment of allostatic load/overload by clinical measurements including indices and rating scales, in addition to biomarkers, offers a characterization of the person’s psychosocial environment that is missing from current formulations. Consideration of allostatic load in endocrinology may shed light on a number of clinical issues: interpretation of abnormal hormone values that lack explanations; coping with the various phases of illness; maladaptive illness behavior; response to treatment; presence of residual symptoms; health-damaging lifestyle habits. Addressing allostatic load calls for innovative models of endocrine outpatients with multidisciplinary organization of care, extended time for the interview, focus on rehabilitation. We provide an overview on the mechanisms of allostatic load, how it can be assessed, its potential role in endocrine disturbances, and how its consideration may lead to a needed innovation in patient care.
DOI: 10.5281/zenodo.7981272
title: Dataset for "SUPER Scheme in Action: Experimental Demonstration of Red-Detuned Excitation of a Quantum Emitter"

description: Dataset for <strong>"SUPER Scheme in Action: Experimental Demonstration of Red-Detuned Excitation of a Quantum Emitter"</strong>. This dataset contains data for https://pubs.acs.org/doi/full/10.1021/acs.nanolett.2c01783 The data is in either <strong>.txt or .csv f</strong>ormat. The zip file <strong>"SUPERDataset"</strong> includes the following folders and data: Dataset for Figure 3(a) Folder <strong>.\Figure3\Experiment</strong> <strong>"2D_counts.txt"</strong> as Z matrix of 2D map <strong> "delta2_vec.txt"</strong> as X axis of 2D map <strong>"trans2_vec.txt"</strong> as Y axis of 2D map Dataset for Figure 3(b) folder <strong>.\Figure3\Theory</strong> <strong>"2D_theory.txt"</strong> as Z matrix of Theory 2D Map <strong>"delta2_vec.txt"</strong> as X axis of Theory 2D Map <strong>"trans2_vec.txt"</strong> as Y axis of Theory 2D Map Dateset for Figure 3(c) folder <strong>.\Figure3\Experiment</strong> <strong>"Line_cut_10p5meV.txt"</strong> <strong>, "Line_cut_10p6meV.txt" , "Line_cut_10p9meV.txt"</strong> are linecuts of 2D map Dataset for Figure 4(a) folder <strong>.\SUPER_vs_TPE</strong> <strong>"SUPER.txt"</strong> includes 2 columns. The first column corresponds to the power, and the second column corresponds to the counts(a.u.). <strong>"TPE.txt" </strong>includes 2 columns. The first column corresponds to the power, and the second column corresponds to the counts(a.u.). Dataset for Figure 4(b) Folder <strong>.\</strong> <strong>"Spectra_SUPER_emission.txt" </strong>includes 2 columns. The first column corresponds to the wavelenght(nm), and the second column corresponds to the counts(a.u.). Dataset for Figure (4c) Folder <strong>.\</strong> <strong>"g2_100ps.txt" </strong>includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences. Dataset for Supporting Information <strong>"Blinking-200ps-NotNormalized.txt" </strong>shows the blinking data. It includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences. <strong>"lifetime-1ps.txt"</strong> shows the blinking data. It includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences. How to extract data: <strong>Windows:</strong> Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset". Right-click on the .zip file and select "Extract All" from the context menu. This will open the extraction wizard. <strong>macOS:</strong> Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset". Double-click on the .zip file. macOS will automatically extract the contents of the .zip file to the same location. <strong>Linux:</strong> Open a terminal window. Navigate to the directory where the .zip file is located using the <code>cd</code> command. Run the following command to unzip the file:<br> <pre><code class="language-bash">unzip SUPERDataset.zip</code></pre>
DOI: 10.5281/zenodo.7981271
title: Dataset for "SUPER Scheme in Action: Experimental Demonstration of Red-Detuned Excitation of a Quantum Emitter"

description: Dataset for <strong>"SUPER Scheme in Action: Experimental Demonstration of Red-Detuned Excitation of a Quantum Emitter"</strong>. This dataset contains data for https://pubs.acs.org/doi/full/10.1021/acs.nanolett.2c01783 The data is in either <strong>.txt or .csv f</strong>ormat. The zip file <strong>"SUPERDataset"</strong> includes the following folders and data: Dataset for Figure 3(a) Folder <strong>.\Figure3\Experiment</strong> <strong>"2D_counts.txt"</strong> as Z matrix of 2D map <strong> "delta2_vec.txt"</strong> as X axis of 2D map <strong>"trans2_vec.txt"</strong> as Y axis of 2D map Dataset for Figure 3(b) folder <strong>.\Figure3\Theory</strong> <strong>"2D_theory.txt"</strong> as Z matrix of Theory 2D Map <strong>"delta2_vec.txt"</strong> as X axis of Theory 2D Map <strong>"trans2_vec.txt"</strong> as Y axis of Theory 2D Map Dateset for Figure 3(c) folder <strong>.\Figure3\Experiment</strong> <strong>"Line_cut_10p5meV.txt"</strong> <strong>, "Line_cut_10p6meV.txt" , "Line_cut_10p9meV.txt"</strong> are linecuts of 2D map Dataset for Figure 4(a) folder <strong>.\SUPER_vs_TPE</strong> <strong>"SUPER.txt"</strong> includes 2 columns. The first column corresponds to the power, and the second column corresponds to the counts(a.u.). <strong>"TPE.txt" </strong>includes 2 columns. The first column corresponds to the power, and the second column corresponds to the counts(a.u.). Dataset for Figure 4(b) Folder <strong>.\</strong> <strong>"Spectra_SUPER_emission.txt" </strong>includes 2 columns. The first column corresponds to the wavelenght(nm), and the second column corresponds to the counts(a.u.). Dataset for Figure (4c) Folder <strong>.\</strong> <strong>"g2_100ps.txt" </strong>includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences. Dataset for Supporting Information <strong>"Blinking-200ps-NotNormalized.txt" </strong>shows the blinking data. It includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences. <strong>"lifetime-1ps.txt"</strong> shows the blinking data. It includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences. How to extract data: <strong>Windows:</strong> Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset". Right-click on the .zip file and select "Extract All" from the context menu. This will open the extraction wizard. <strong>macOS:</strong> Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset". Double-click on the .zip file. macOS will automatically extract the contents of the .zip file to the same location. <strong>Linux:</strong> Open a terminal window. Navigate to the directory where the .zip file is located using the <code>cd</code> command. Run the following command to unzip the file:<br> <pre><code class="language-bash">unzip SUPERDataset.zip</code></pre>
DOI: 10.6084/m9.figshare.23217011
title: Supplementary Material for: Virtual Reality Exposure to a Healthy Weight Body Is a Promising Adjunct Treatment for Anorexia Nervosa

description: <b><i>Introduction/Objective:</i></b> Treatment results of anorexia nervosa (AN) are modest, with fear of weight gain being a strong predictor of treatment outcome and relapse. Here, we present a virtual reality (VR) setup for exposure to healthy weight and evaluate its potential as an adjunct treatment for AN. <b><i>Methods:</i></b> In two studies, we investigate VR experience and clinical effects of VR exposure to higher weight in 20 women with high weight concern or shape concern and in 20 women with AN. <b><i>Results:</i></b> In study 1, 90% of participants (18/20) reported symptoms of high arousal but verbalized low to medium levels of fear. Study 2 demonstrated that VR exposure to healthy weight induced high arousal in patients with AN and yielded a trend that four sessions of exposure improved fear of weight gain. Explorative analyses revealed three clusters of individual reactions to exposure, which need further exploration. <b><i>Conclusions:</i></b> VR exposure is a well-accepted and powerful tool for evoking fear of weight gain in patients with AN. We observed a statistical trend that repeated virtual exposure to healthy weight improved fear of weight gain with large effect sizes. Further studies are needed to determine the mechanisms and differential effects.
DOI: 10.5517/ccdc.csd.cc28pv0v
title: CCDC 2106357: Experimental Crystal Structure Determination

description: Related Article: Zhangqiang Yan, Zhen Zhang, Tao Wen, Lihua Ye, Bo Jin, Chihong Zhang, Wenkun Wang, Zhong-Ning Chen, Hu Cai|2023|Org.Chem.Front.|10|2714|doi:10.1039/D2QO01911F
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.cc29l57b
title: CCDC 2132621: Experimental Crystal Structure Determination

description: Related Article: Yinggao Meng, Manman Song, Yue Wang, Yuxin Wang, Er-Qing Li|2023|Org.Chem.Front.|10|2648|doi:10.1039/D3QO00501A
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.cc2bfp1j
title: CCDC 2158097: Experimental Crystal Structure Determination

description: Related Article: Ceyda Icsel, Veysel T. Yilmaz, Muhittin Aygün, Merve Erkisa, Engin Ulukaya|2023|Dalton Trans.|52|7048|doi:10.1039/D3DT00363A
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.cc2bfp2k
title: CCDC 2158098: Experimental Crystal Structure Determination

description: Related Article: Ceyda Icsel, Veysel T. Yilmaz, Muhittin Aygün, Merve Erkisa, Engin Ulukaya|2023|Dalton Trans.|52|7048|doi:10.1039/D3DT00363A
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.cc2bfp4m
title: CCDC 2158100: Experimental Crystal Structure Determination

description: Related Article: Ceyda Icsel, Veysel T. Yilmaz, Muhittin Aygün, Merve Erkisa, Engin Ulukaya|2023|Dalton Trans.|52|7048|doi:10.1039/D3DT00363A
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.cc2cx06j
title: CCDC 2201657: Experimental Crystal Structure Determination

description: Related Article: Lu Cheng, Mengdan Wang, Yingge Gu, Peng He, Zongkang Wang, Ziyi Zhuang, Lingkai Kong, Yanzhong Li|2023|Org.Chem.Front.|10|2708|doi:10.1039/D3QO00364G
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.cc2cx5j0
title: CCDC 2201822: Experimental Crystal Structure Determination

description: Related Article: Rampal Pandey|2022|CSD Communication|||
description: Related Article: Vaishali Singh, Shubhra Kala, Tanmay Rom, Avijit Kumar Paul, Rampal Pandey|2023|Dalton Trans.|52|7088|doi:10.1039/D2DT03714A
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.cc2d0kdd
title: CCDC 2205073: Experimental Crystal Structure Determination

description: Related Article: Huiping Yin, Tianjiao Huang, Bai Shi, Wei Cao, Chenxia Yu, Tuanjie Li, Kai Zhang, Changsheng Yao|2023|Org.Chem.Front.|10|2695|doi:10.1039/D3QO00544E
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.cc2d3snz
title: CCDC 2208181: Experimental Crystal Structure Determination

description: Related Article: Xiao-Feng He, Qi-Hao Li, Tian-Ze Li, Yun-Bao Ma, Wei Dong, Ke-Xin Yang, Chang-An Geng, Hao-Wei Zhang, Yuan Wang, Ji-Jun Chen|2023|Org.Chem.Front.|10|2635|doi:10.1039/D3QO00223C
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.cc2d3sp0
title: CCDC 2208182: Experimental Crystal Structure Determination

description: Related Article: Xiao-Feng He, Qi-Hao Li, Tian-Ze Li, Yun-Bao Ma, Wei Dong, Ke-Xin Yang, Chang-An Geng, Hao-Wei Zhang, Yuan Wang, Ji-Jun Chen|2023|Org.Chem.Front.|10|2635|doi:10.1039/D3QO00223C
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.cc2ddgbm
title: CCDC 2216510: Experimental Crystal Structure Determination

description: Related Article: Duyi Shen, Fubi Zhong, Linghui Li, Haixing Zhang, Ting Ren, Chaoyue Sun, Bin Wang, Mian Guo, Mianran Chao, Shunichi Fukuzumi|2023|Org.Chem.Front.|10|2653|doi:10.1039/D3QO00375B
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.cc2ddklz
title: CCDC 2216611: Experimental Crystal Structure Determination

description: Related Article: Duyi Shen, Fubi Zhong, Linghui Li, Haixing Zhang, Ting Ren, Chaoyue Sun, Bin Wang, Mian Guo, Mianran Chao, Shunichi Fukuzumi|2023|Org.Chem.Front.|10|2653|doi:10.1039/D3QO00375B
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.cc2dltmg
title: CCDC 2222626: Experimental Crystal Structure Determination

description: Related Article: Maria Savva, Dimitris I. Alexandropoulos, Michael Pissas, Spyros P. Perlepes, Constantina Papatriantafyllopoulou, Yiannis Sanakis, Anastasios J. Tasiopoulos|2023|Dalton Trans.|52|6997|doi:10.1039/D2DT03938A
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.cc2dltnh
title: CCDC 2222627: Experimental Crystal Structure Determination

description: Related Article: Maria Savva, Dimitris I. Alexandropoulos, Michael Pissas, Spyros P. Perlepes, Constantina Papatriantafyllopoulou, Yiannis Sanakis, Anastasios J. Tasiopoulos|2023|Dalton Trans.|52|6997|doi:10.1039/D2DT03938A
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.cc2dltpj
title: CCDC 2222628: Experimental Crystal Structure Determination

description: Related Article: Maria Savva, Dimitris I. Alexandropoulos, Michael Pissas, Spyros P. Perlepes, Constantina Papatriantafyllopoulou, Yiannis Sanakis, Anastasios J. Tasiopoulos|2023|Dalton Trans.|52|6997|doi:10.1039/D2DT03938A
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.cc2dltqk
title: CCDC 2222629: Experimental Crystal Structure Determination

description: Related Article: Maria Savva, Dimitris I. Alexandropoulos, Michael Pissas, Spyros P. Perlepes, Constantina Papatriantafyllopoulou, Yiannis Sanakis, Anastasios J. Tasiopoulos|2023|Dalton Trans.|52|6997|doi:10.1039/D2DT03938A
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.cc2dmmym
title: CCDC 2223411: Experimental Crystal Structure Determination

description: Related Article: Farshid Hajibabaei, Samaneh Sanei Movafagh, Sadegh Salehzadeh, Robert William Gable|2023|Dalton Trans.|52|7031|doi:10.1039/D3DT00256J
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.