cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2984nd
title: CCDC 2122993: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Jonas Weiser, Felipe Fantuzzi, Maximilian Dietz, Yelyzaveta Yatsenko, Andreas Häfner, Samuel Nees, Ivo Krummenacher, Mingtao Zhang, Kai Hammond, Paula Roth, Wei Lu, Rian D. Dewhurst, Bernd Engels, Holger Braunschweig|2022|Chem.Commun.|58|13357|doi:10.1039/D2CC05325J
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.cc2c5yxf
title: CCDC 2180475: Experimental Crystal Structure Determination

description: Related Article: Hong-Li Ruan, Yun-Xia Deng, Zi-Jing Li, Sheng-Yin Zhao|2022|J.Org.Chem.|87|15661|doi:10.1021/acs.joc.2c01907
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.cc2ck56b
title: CCDC 2191241: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Ruoyao Zhang, Chaohui Liang, Yifan Deng, Zhao Li, Yulin Deng, Ben Zhong Tang|2022|Biomaterials|291|121915|doi:10.1016/j.biomaterials.2022.121915
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.cc2ckxb6
title: CCDC 2191958: Experimental Crystal Structure Determination

description: Related Article: Youjung Byun, Kyeongwon Moon, Jihye Park, Prithwish Ghosh, Neeraj Kumar Mishra, In Su Kim|2022|Org.Lett.|24|8578|doi:10.1021/acs.orglett.2c03677
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.cc2cl459
title: CCDC 2192170: Experimental Crystal Structure Determination

description: Related Article: YiLin Mao, Jian Zhang, Qiqiong Ren, Maxim S. Molokeev, Guojun Zhou, Xian-Ming Zhang|2022|J.Mater.Chem.C|10|17638|doi:10.1039/D2TC03150G
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.cc2cmc2g
title: CCDC 2193345: Experimental Crystal Structure Determination

description: Related Article: Michaela Černá, John A. Seed, Sara Garrido Fernandez, Michael T. Janicke, Brian L. Scott, George F. S. Whitehead, Andrew J. Gaunt, Conrad A. P. Goodwin|2022|Chem.Commun.|58|13278|doi:10.1039/D2CC04803E
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.cc2cmdfv
title: CCDC 2193387: Experimental Crystal Structure Determination

description: Related Article: Chen Wang, Rong Huo, Fen Xu, Yong-Heng Xing, Feng-Ying Bai|2022|J.Mater.Chem.C|10|17723|doi:10.1039/D2TC03819F
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.7386296
title: Mg Ca concentration in Xiushui section, Jiangxi province, South China

description: Geochemical data. Mg and Ca concentration in a Permian-Triassic boundary microbialite section, South China
DOI: 10.5517/ccdc.csd.cc2cnbft
title: CCDC 2194286: Experimental Crystal Structure Determination

description: Related Article: Stefan Repp, Michael Steiner, Montaha Anjass, Dieter Sorsche, Carsten Streb|2022|Chem.Commun.|58|13397|doi:10.1039/D2CC04379C
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.cc2cnc9q
title: CCDC 2194313: Experimental Crystal Structure Determination

description: Related Article: Stefan Repp, Michael Steiner, Montaha Anjass, Dieter Sorsche, Carsten Streb|2022|Chem.Commun.|58|13397|doi:10.1039/D2CC04379C
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.7386295
title: Mg Ca concentration in Xiushui section, Jiangxi province, South China

description: Geochemical data. Mg and Ca concentration in a Permian-Triassic boundary microbialite section, South China
DOI: 10.5517/ccdc.csd.cc2cncs6
title: CCDC 2194328: Experimental Crystal Structure Determination

description: Related Article: Thanh Binh Nguyen, Pascal Retailleau|2022|Chem.Commun.|58|13333|doi:10.1039/D2CC05539B
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.cc2cnct7
title: CCDC 2194329: Experimental Crystal Structure Determination

description: Related Article: Thanh Binh Nguyen, Pascal Retailleau|2022|Chem.Commun.|58|13333|doi:10.1039/D2CC05539B
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: 10.17028/rd.lboro.21655730.v1
title: Replication Materials: Distributing democratic influence: external efficacy and the preferred influence of policy winners and losers

description: Replication materials (data and R script) for the article "Distributing democratic influence: external efficacy and the preferred influence of policy winners and losers", published in the International Journal of Public Opinion Research.
DOI: 10.5517/ccdc.csd.cc2cncv8
title: CCDC 2194330: Experimental Crystal Structure Determination

description: Related Article: Thanh Binh Nguyen, Pascal Retailleau|2022|Chem.Commun.|58|13333|doi:10.1039/D2CC05539B
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: 10.6084/m9.figshare.21655604.v1
title: days.txt

description: Days after innoculation (n=14)
DOI: 10.6084/m9.figshare.21655595.v1
title: metadata.csv

description: Metadata of subjects (n=1516)
DOI: 10.5517/ccdc.csd.cc2cnlf2
title: CCDC 2194534: Experimental Crystal Structure Determination

description: Related Article: Thanh Binh Nguyen, Pascal Retailleau|2022|Chem.Commun.|58|13333|doi:10.1039/D2CC05539B
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: 10.6084/m9.figshare.21663734
title: Top data analysis tools and their area of application.

description: Data analysis tools help companies draw insights from customer data, and uncover trends and patterns to make better business decisions. There are a wide number of online data analysis tools that can make be use, whether to perform basic or more advanced data analysis. Because of the development of no-code machine learning software, advanced data analysis is now easier than ever, allowing businesses to reap the benefits from huge amounts of unstructured data. <br> <br> This paper aims at pointing out the meaning of data analysis and it's benefits, type of data analysis, available data analysis tools and how to choose them. <br> <br>
DOI: 10.6084/m9.figshare.21651209.v1
title: TPB_Full Dataset

description: Enclosed file includes the complete dataset with all participants’ item-and scale-level responses relevant to the research question: Self-stigma of Seeking Help, Mental Help Seeking Attitudes Scale, Subjective Norms, Perceived Behavioral Control, Intention to seek help, and demographic variables.
DOI: 10.6084/m9.figshare.21632525.v1
title: Table S2

description: Quantitative proteomics of IECs from <em>Zip14F/F </em>and <em>Zip14ΔIEC</em> mice showing identified fragments with significance of P &lt; 0.05 (n= 2-3/ group); Student’s <em>t </em>test.
DOI: 10.25381/cput.21610224.v1
title: THE ROLE OF ELECTRONIC INVENTORY CONTROL SYSTEM IN THE COMPETITIVENESS OF E-RETAILERS IN SOUTH AFRICA

description: <strong>Clearance Certificate No | 2018FBREC537</strong> <strong>Ethical Considerations</strong> <br> The ethical issues in this study centered on data collection. Data was collected through interviews conducted with the consent of the selected organisation. <br> The study agreed not to breach in any way the privacy and confidentiality policies of the selected e-retailer, nor reveal sensitive information to its competitors. The study also protected the anonymity of the respondents. <br> The transcribed interviews were reviewed by the respondents to ensure their accuracy. This process helped to achieve the verification and validity of the results of the study. The study presented the statements collected during the interviews ‘as is’ and in no way changed to suit the study or affect the results. <br> A consent letter was obtained from the Operations Manager to conduct the interviews, and ethical clearance was obtained from the Cape Peninsula University of Technology before data collection started. <br> Additionally, all interviewees who agreed to participate in the data collection process were informed of all ethical considerations before the interview went ahead. Interviewees were told that the interviews would be recorded. <br> Interviewee personal or confidential data was not collected as it was not required. The identity of the selected e-retailer was hidden to avoid private information from being divulged. The reliability of this study is demonstrated by its use of a range of appropriately referenced sources and by the transparent analysis process. <br> <strong>Summary </strong> <br> The study adopted a qualitative research approach and used an interpretive exploratory case study design. Semi-structured interviews were conducted to gather relevant data to meet the research objectives. <br> Permission to conduct the research was obtained from the selected e-retailer, and due consideration was given to issues of confidentiality, validity, and reliability. <br> The research questions were developed and subdivided into four research sub-questions in order to address the following main question: <strong>How can EICS</strong> <strong>improve the competitiveness of e-retailers in South Africa</strong><em><strong>?</strong></em>
DOI: 10.5281/zenodo.7380059
title: WP4 - Traitement données - BPM - simulation réalité virtuelle

description: Ces données ont été collectés dans le cadre du projet de recherche PAsCAL entre février et avril 2021. Il s'agit des résultats bruts de fréquence cardiaque (battements par minutes; BPM) pour les 11 participants en situation de handicap moteur qui ont réalisé l'expérience WP4 sur la plateforme de réalité virtuelle de UBFC.
DOI: 10.5281/zenodo.7380058
title: WP4 - Traitement données - BPM - simulation réalité virtuelle

description: Ces données ont été collectés dans le cadre du projet de recherche PAsCAL entre février et avril 2021. Il s'agit des résultats bruts de fréquence cardiaque (battements par minutes; BPM) pour les 11 participants en situation de handicap moteur qui ont réalisé l'expérience WP4 sur la plateforme de réalité virtuelle de UBFC.
DOI: 10.5281/zenodo.7386995
title: Derived data for: 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury's Mantle'

description: Derived data for the manuscript entitled 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury’s Mantle'.
DOI: 10.5281/zenodo.7158899
title: Derived data for: 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury's Mantle'

description: Derived data for the manuscript entitled 'Modelling the Time-Dependent Magnetic Fields that BepiColombo will use to Probe Down into Mercury’s Mantle'.
DOI: 10.48457/iopan-e0ddd56b-65d0-4609-b302-7fc6b3875ba8
title: Database title: Concentrations of PCBs, HCB and PAHs in the plankton of West Spitsbergen fjords (Kongsfjorden, Hornsund, Adventfjorden)

description: The aim of this project was to verify the hypothesis that the organisms inhabiting the Arctic fjords are exposed to organic contaminants, which in consequence accumulate in their tissues and further undergo biomagnification along the trophic chain. The research was focused on three Svalbard fjords, two of them characterized by different environmental conditions (Kongsfjorden, Hornsund) and maturity of the ecosystem, while Adventfjorden was selected to assess the importance of local sources of organic pollutants. The individual PCB, HCB and PAH concentrations in protist samples were up to 1.52 ng/g w.w., 0.28 ng/g w.w. and 5.51 ng/g w.w., respectively. The concentrations of PCB, HCB and PAH in zooplankton taxa range from below the limit of detection to 310 ng/g w.w.
DOI: 10.48457/iopan-6a4ac14b-3fb8-4618-9283-0f3d539e4f4c
title: Database title: Ecological data from coastal zone sampling campaigns recorded by Institute of Oceanology Polish Academy of Sciences

description: Coastal zone is one of the most dynamic marine ecosystem, where numerous environmental stressors shape communities and cause their constant evolution. Effects of climate change like sea level rise and increasing anthropopressure for instance in form of marine pollution, are additional enhancing coastal ecosystem changes. Scientists from Institute of Oceanology PAS has been visiting coastal zone of Svalbard region since 1983, collecting ecological and environmental data. They visited 735 localisation (single station or larger coastal units), where numerous abiotic data were recorded like sea temperature, coast type, sediment type or level of pollution. This data were accompanied with biological samples that allowed for taxonomical assessments. Where it was possible quantitative data were collected providing abundance and biomass information, and a photographic documentation of the localisations was made (1043 photos from 199 localisations). Together 5324 taxonomical records were gathered, concerning 327 unique taxa (229 identified to species level) belonging to macrophytes, fish, macrofauna and meiofauna.
DOI: 10.6084/m9.figshare.16574390
title: Traffic speed forecasting

description: The dataset is saved on Python's Numpy library format.The dataset is splitted in training and testing.X is the inputs and Y is the outputs.X is a feature-normalized 3D matrix (samples, time intervals, features).Y is a 2D matrix (samples, time intervals).<br>*X features are:speed_avg_1: Average speed on lane 1<br>speed_avg_2: Average speed on lane 2<br>speed_avg_3: Average speed on lane 3<br>speed_med_1: Median speed on lane 1<br>speed_med_2: Median speed on lane 2<br>speed_med_3: Median speed on lane 3<br>speed_min_1: Minimum speed on lane 1<br>speed_min_2: Minimum speed on lane 2<br>speed_min_3: Minimum speed on lane 3<br>speed_max_1: Maximum speed on lane 1<br>speed_max_2: Maximum speed on lane 2<br>speed_max_3: Maximum speed on lane 3<br>speed_std_1: Speed's standard deviation on lane 1<br>speed_std_2: Speed's standard deviation on lane 2<br>speed_std_3: Speed's standard deviation on lane 3<br>volume_1: Volume on lane 1<br>volume_2: Volume on lane 2<br>volume_3: Volume on lane 3<br>detected_1: (dummy) vehicle detected on lane 1<br>detected_2: (dummy) vehicle detected on lane 2<br>detected_3: (dummy) vehicle detected on lane 3<br>day_week_1: (dummy) day of the week = monday<br>day_week_2: (dummy) day of the week = tuesday<br>day_week_3: (dummy) day of the week = wednesday<br>day_week_4: (dummy) day of the week = thursday<br>day_week_5: (dummy) day of the week = friday<br>precipitation: rain intensity<br>*Y is the average speed of the time interval considering all lanes<br><i>*days</i> is a vector to indicate a day ID for each sample.<br>*<i>u</i> and <i>s</i> are the average and standard deviation used for normalization of X_train and X_test and calculated based on X_train<br>
DOI: 10.5517/ccdc.csd.cc2984sj
title: CCDC 2122997: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Jonas Weiser, Felipe Fantuzzi, Maximilian Dietz, Yelyzaveta Yatsenko, Andreas Häfner, Samuel Nees, Ivo Krummenacher, Mingtao Zhang, Kai Hammond, Paula Roth, Wei Lu, Rian D. Dewhurst, Bernd Engels, Holger Braunschweig|2022|Chem.Commun.|58|13357|doi:10.1039/D2CC05325J
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: 10.3886/e182884
title: Earning to Learn: Working while Enrolled in Tennessee Colleges and Universities

description: While some students choose to work while enrolled in college, others may have no choice but to work, even if work may be detrimental to their chances of succeeding in college. Leveraging 17 years of statewide student-level records from Tennessee, we examine the relationship between working while enrolled and degree completion, time-to-degree, credit accumulation, and GPA. We aim to increase our understanding of how the timing and intensity of work relate to student outcomes and to explore how these relationships differ by college sector, industry of employment, and student characteristics. We find consistent negative associations between work and academic success, especially at higher levels of work intensity. Working students attempt and earn fewer credits and are 4-7 percentage points less likely to complete college. Among completers, working students take longer to graduate, even though they earn similar GPAs and complete their attempted credits at similar rates to non-working students.
description: Students enrolled in public postsecondary community colleges and universities in Tennessee from 2001 to 2017.
DOI: 10.5517/ccdc.csd.cc2bb3b4
title: CCDC 2154665: Experimental Crystal Structure Determination

description: Related Article: Min Seo Park, Eunjae Chung, Neeraj Kumar Mishra, Sang Hoon Han, Sangil Han, Saegun Kim, In Su Kim|2022|Chem.Commun.|58|13365|doi:10.1039/D2CC05245H
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.cc2bln6t
title: CCDC 2162876: Experimental Crystal Structure Determination

description: Related Article: Min Seo Park, Eunjae Chung, Neeraj Kumar Mishra, Sang Hoon Han, Sangil Han, Saegun Kim, In Su Kim|2022|Chem.Commun.|58|13365|doi:10.1039/D2CC05245H
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: 10.3886/e182884v1
title: Earning to Learn: Working while Enrolled in Tennessee Colleges and Universities

description: While some students choose to work while enrolled in college, others may have no choice but to work, even if work may be detrimental to their chances of succeeding in college. Leveraging 17 years of statewide student-level records from Tennessee, we examine the relationship between working while enrolled and degree completion, time-to-degree, credit accumulation, and GPA. We aim to increase our understanding of how the timing and intensity of work relate to student outcomes and to explore how these relationships differ by college sector, industry of employment, and student characteristics. We find consistent negative associations between work and academic success, especially at higher levels of work intensity. Working students attempt and earn fewer credits and are 4-7 percentage points less likely to complete college. Among completers, working students take longer to graduate, even though they earn similar GPAs and complete their attempted credits at similar rates to non-working students.
description: Students enrolled in public postsecondary community colleges and universities in Tennessee from 2001 to 2017.