cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dln3s
title: CCDC 2222455: Experimental Crystal Structure Determination

description: Related Article: Christopher Golz|2023|CSD Communication|||
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.cc2dln4t
title: CCDC 2222456: Experimental Crystal Structure Determination

description: Related Article: Christopher Golz|2023|CSD Communication|||
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.cc2f9g5d
title: CCDC 2243413: Experimental Crystal Structure Determination

description: Related Article: Michael J. Zuraw and Bruce M. Foxman|2023|CSD Communication|||
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.cc2f9csx
title: CCDC 2243339: Experimental Crystal Structure Determination

description: Related Article: Haochen Lv|2023|CSD Communication|||
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.cc2f9r3m
title: CCDC 2243690: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|CSD Communication|||
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.cc2f9zf5
title: CCDC 2243917: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Philip Adler|2023|CSD Communication|||
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.cc2f9zmc
title: CCDC 2243923: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|CSD Communication|||
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.cc2f9zrh
title: CCDC 2243927: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|CSD Communication|||
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.cc2fb0d6
title: CCDC 2243947: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|CSD Communication|||
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.cc296gdd
title: CCDC 2121373: Experimental Crystal Structure Determination

description: Related Article: Florian Pachel, Kai Röseler, Markus Ströbele, Hans-Jürgen Meyer|2023|CSD Communication|||
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.cc2fb0qj
title: CCDC 2243957: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Philip Adler|2023|CSD Communication|||
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.cc2fb0sl
title: CCDC 2243959: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Philip Adler|2023|CSD Communication|||
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.cc2fb161
title: CCDC 2243972: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|2023|CSD Communication|||
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: 10.25442/hku.22953272
title: <em>Supporting data for “</em><strong>Cocrystal Engineering of Pharmaceutical Solids: Preparation Methods, Characterization, and Therapeutic Potentials</strong><em>”</em>.

description: Cocrystal engineering has gained tremendous popularity in the past decade thanks to its capability in modifying the pharmaceutical properties of drugs, including solubility, dissolution rate, stability, etc. Achieving efficient cocrystal screening has long been a paramount objective, especially when cocrystal formation is mediated by the amorphous intermediate phase. This folder contains the raw PXRD, DSC, and FTIR data for characterizing the successful synthesis of novel and elusive cocrystals. The cocrystals were obtained by different kinetic methods, such as rapid solvent removal and mechanical grinding. The data can facilitate the expansion of the solid-state landscape of pharmaceuticals.
DOI: 10.25442/hku.22953272.v1
title: <em>Supporting data for “</em><strong>Cocrystal Engineering of Pharmaceutical Solids: Preparation Methods, Characterization, and Therapeutic Potentials</strong><em>”</em>.

description: Cocrystal engineering has gained tremendous popularity in the past decade thanks to its capability in modifying the pharmaceutical properties of drugs, including solubility, dissolution rate, stability, etc. Achieving efficient cocrystal screening has long been a paramount objective, especially when cocrystal formation is mediated by the amorphous intermediate phase. This folder contains the raw PXRD, DSC, and FTIR data for characterizing the successful synthesis of novel and elusive cocrystals. The cocrystals were obtained by different kinetic methods, such as rapid solvent removal and mechanical grinding. The data can facilitate the expansion of the solid-state landscape of pharmaceuticals.
DOI: 10.25442/hku.22954223
title: Supporting data for "Targeting ubiquitin-proteasome system for cancer therapy"

description: These files are supporting data for Wang Tianyi's Ph.D. thesis, entitled "Targeting ubiquitin-proteasome system for cancer therapy". In this thesis, nanoparticles or prodrugs are developed for ubiquitin-proteasome system-based therapeutic strategies. The data include chemical synthesis of different chemical tools, characterization of the drugs or materials, cellular studies about how these systems influence intracellular pathways, and in vivo studies about how these platforms perform in tumor-bearing mouse models.
DOI: 10.25442/hku.22954223.v1
title: Supporting data for "Targeting ubiquitin-proteasome system for cancer therapy"

description: These files are supporting data for Wang Tianyi's Ph.D. thesis, entitled "Targeting ubiquitin-proteasome system for cancer therapy". In this thesis, nanoparticles or prodrugs are developed for ubiquitin-proteasome system-based therapeutic strategies. The data include chemical synthesis of different chemical tools, characterization of the drugs or materials, cellular studies about how these systems influence intracellular pathways, and in vivo studies about how these platforms perform in tumor-bearing mouse models.
DOI: 10.25442/hku.22887047
title: Supporting data for "Studies on Diamine-containing Fluorescent Probes for Mitochondrial and Nuclear Imaging"

description: Contains confocal imaging data, molecular docking results, scanned copies of high resolution mass spectra, isothermal titration calorimetry data, scanned copies of laboratory notebooks, nuclear magnetic resonance data, spectroscopy data (circular dichroism, fluorescence spectroscopy, UV-Vis absorption spectroscopy, plate reader), stochastic optical reconstruction microscopy data, and LC-MS data. <br>
DOI: 10.25442/hku.22887047.v1
title: Supporting data for "Studies on Diamine-containing Fluorescent Probes for Mitochondrial and Nuclear Imaging"

description: Contains confocal imaging data, molecular docking results, scanned copies of high resolution mass spectra, isothermal titration calorimetry data, scanned copies of laboratory notebooks, nuclear magnetic resonance data, spectroscopy data (circular dichroism, fluorescence spectroscopy, UV-Vis absorption spectroscopy, plate reader), stochastic optical reconstruction microscopy data, and LC-MS data. <br>
DOI: 10.34740/kaggle/dsv/5864004
title: AutoXGB
DOI: 10.25442/hku.23002592
title: <em>Supporting data for “</em> <strong>Understanding the roles of micro and macro-level factors in educational inequality in higher education attainment</strong><em>”</em>

description: The dataset was collected by Qiongjiang Song from first-year college students at six higher education institutions in mainland China. The dataset contains 2,071 samples and is being used in the analysis for the doctoral thesis titled "Understanding the roles of micro and macro-level factors in educational inequality in higher education attainment." The dataset contains variables from four main parts: students' family socioeconomic status, school characteristics, test-taking abilities, and demographic information (such as gender, hukou, province of residence, and Gaokao exam type, etc).
DOI: 10.25442/hku.23002592.v1
title: <em>Supporting data for “</em> <strong>Understanding the roles of micro and macro-level factors in educational inequality in higher education attainment</strong><em>”</em>

description: The dataset was collected by Qiongjiang Song from first-year college students at six higher education institutions in mainland China. The dataset contains 2,071 samples and is being used in the analysis for the doctoral thesis titled "Understanding the roles of micro and macro-level factors in educational inequality in higher education attainment." The dataset contains variables from four main parts: students' family socioeconomic status, school characteristics, test-taking abilities, and demographic information (such as gender, hukou, province of residence, and Gaokao exam type, etc).
DOI: 10.25442/hku.23006030
title: <strong>Supporting data for "The Entrepreneurial Reforms of Chinese Universities in the Greater Bay Area: Experiences, Strategies, and Tensions"</strong>

description: This research has examined the experiences, strategies, and tensions of Mainland China’s universities in the GBA under the impact of entrepreneurial reforms. It attempts to elucidate how the traditional functions and classic ideas of the university have been transformed in entrepreneurial reforms in some Chinese universities. It has adopted mixed methods research that consists of an online survey and four case studies under the paradigm of pragmatism. <br> Based on the research methods adopted, the dataset contains two files, "interview" and "questionnaire". The "interview" file contains information about the interviewees in the four case universities, different letters of invitation, individual audio recordings, and coded transcripts. The "questionnaire" file contains source data and a data analysis report of the questionnaires. <br> As there are many sensitive and confidential contents about the participants, this dataset is needed to be embargoed permanently.
DOI: 10.25442/hku.23006030.v1
title: <strong>Supporting data for "The Entrepreneurial Reforms of Chinese Universities in the Greater Bay Area: Experiences, Strategies, and Tensions"</strong>

description: This research has examined the experiences, strategies, and tensions of Mainland China’s universities in the GBA under the impact of entrepreneurial reforms. It attempts to elucidate how the traditional functions and classic ideas of the university have been transformed in entrepreneurial reforms in some Chinese universities. It has adopted mixed methods research that consists of an online survey and four case studies under the paradigm of pragmatism. <br> Based on the research methods adopted, the dataset contains two files, "interview" and "questionnaire". The "interview" file contains information about the interviewees in the four case universities, different letters of invitation, individual audio recordings, and coded transcripts. The "questionnaire" file contains source data and a data analysis report of the questionnaires. <br> As there are many sensitive and confidential contents about the participants, this dataset is needed to be embargoed permanently.
DOI: 10.6084/m9.figshare.23309303
title: noise_44100_6s.wav

description: a 6s background noise with 44100 sampling rate
DOI: 10.6084/m9.figshare.23309303.v1
title: noise_44100_6s.wav

description: a 6s background noise with 44100 sampling rate
DOI: 10.6084/m9.figshare.23118758.v4
title: SNGNN

description: An improved graph neural network (GNN) and a self and neighborhood merged graph neural network (SNGNN) were proposed. "SNGNN.py" is the proposed model. "attribute417.csv" and "edgeattribute417.csv" are the node feature file and edge feature file requiredas input to the SNGNN mode respectively. “Focalloss.py”和“configure.py” are the required support files for the SNGNN model. "modelconstract.py" is the code needed for the comparison experiment. <br>
DOI: 10.25442/hku.23041406
title: Supporting data for “Evaluating the Impact of a School-based Mindfulness Intervention on Peer Relationships among Chinese Migrant Children: The Role of Self-concept and Self-concept Clarity”

description: This is supporting data for thesis: “Evaluating the Impact of a School-based Mindfulness Intervention on Peer Relationships among Chinese Migrant Children: The Role of Self-concept and Self-concept Clarity”, which include: 1. Data of a meta-analuysis study examined the effects of MBIs on peer relationships of children and adolescents, including study and effect size information. 2. Pretest, posttest, and followup survey date of a cluster randomized control trial aims to examine the effectiveness of a school-based mindfulness intervention on peer relationships among Chinese migrant children. 3. Codings of children’s drawing indicators from an interview after a mindfulness-based intervention.
DOI: 10.25442/hku.23255594
title: Supporting data for "English Teachers’ Emotions and Identity in Rural Primary Schools in Mainland China: A Critical Narrative Ethnographic Study"

description: The present study aims to explore the complexities and multiplicities of rural English teachers’ emotional experiences in mainland China. My employment of data generation strategies, including the emotion diary, conversations, participant observation, and document collection was not to simplify participants’ understanding of their emotional experiences to mere cultural patterns and values but to account for the messiness of the three teachers’ emotional experiences. This was in line with the critical narrative ethnographic approach I adopted, which assumes that teachers engage in messy processes of meaning making of their emotional experiences being shaped by and shaping social practice. This datasets contains nine audio recordings of conversations (each lasts 2 to 2.5 hours), conversation transcripts (about 200pages), emotion diary entries (57entries), participant observations (353pages) and collected documents(20pages).
DOI: 10.25442/hku.23255594.v1
title: Supporting data for "English Teachers’ Emotions and Identity in Rural Primary Schools in Mainland China: A Critical Narrative Ethnographic Study"

description: The present study aims to explore the complexities and multiplicities of rural English teachers’ emotional experiences in mainland China. My employment of data generation strategies, including the emotion diary, conversations, participant observation, and document collection was not to simplify participants’ understanding of their emotional experiences to mere cultural patterns and values but to account for the messiness of the three teachers’ emotional experiences. This was in line with the critical narrative ethnographic approach I adopted, which assumes that teachers engage in messy processes of meaning making of their emotional experiences being shaped by and shaping social practice. This datasets contains nine audio recordings of conversations (each lasts 2 to 2.5 hours), conversation transcripts (about 200pages), emotion diary entries (57entries), participant observations (353pages) and collected documents(20pages).
DOI: 10.5281/zenodo.5563074
title: Discoba protein sequences for protein structure predictions

description: Comprehensive database of Discoba protein sequences, gathered for the purpose of improving protein structure predictions of Discoba species (including <em>Trypanosoma </em>and <em>Leishmania</em>) by AlphaFold and RoseTTAFold. Originally gathered for use with: https://github.com/zephyris/discoba_alphafold
DOI: 10.5281/zenodo.7779427
title: satmut_utils simulated datasets

description: Simulated datasets were generated with satmut_utils v1.0.1-dev001. Datasets contain between hundreds to thousands of simulated variants in real CBS alignments.
description: A script for automating the generation of new simulated datasets is provided in the satmut_utils development package (run_ec_data_generatory.py).
DOI: 10.5281/zenodo.4068293
title: Tara Pacific samples provenance and environmental context - version 1

description: This publication includes the provenance metadata and environmental context of all samples generated by the Tara Pacific Expedition. The metadata fields and parameters are detailed in the readme files. Provenance is given in a single UTF-8 encoded tab-delimited text file. Environmental context is provided in eleven UTF-8 encoded tab-delimited text files, all with the same structure, but each providing a different statistic: "n" = number of values "mean" = mean value "stdev" = standard deviation "P05" = 5 percentile, i.e. minimum (Q0) "P25" = 25 percentile, i.e. first quartile (Q1) "P50" = 50 percentile, i.e. median (Q2) "P75" = 75 percentile, i.e. third quartile (Q3) "P95" = 95 percentile, i.e. maximum (Q4) "dt" = lag in time, i.e. difference between the collection date/time of the sample and that of the environmental context provided "dxy" = lag in horizontal space, i.e. distance between the collection location of the sample and that of the environmental context provided "dz" = lag in vertical space, i.e. difference between the collection depth/altitude of the sample and that of the environmental context provided Missing value terms are: "nav" = not-available, i.e. the expected information is not given because it has not been collected or generated "npr" = not-provided, i.e. the expected information has been collected or generated but it is not given, i.e. a value may be available in a later version or may be obtained by contacting the data providers "nac" = confidential, i.e. the expected information has been collected or generated but is not available openly because of privacy concerns "nap" = not-applicable, i.e. no information is expected for this combination of parameter, environment and/or method, e.g. depth below seabed cannot be informed for a sample collected in the water or the atmosphere
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.