cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19354988.v1
title: Registered clinical trials investigating treatment of long COVID: a scoping review and recommendations for research

description: A considerable proportion of individuals report persistent, debilitating and disparate symptoms despite resolution of acute COVID-19 infection (i.e. long COVID). Numerous registered clinical trials investigating treatment of long COVID are expected to be completed in 2021–2022. The aim of this review is to provide a scope of the candidate treatments for long COVID. A synthesis of ongoing long COVID clinical trials can inform methodologic approaches for future studies and identify key research vistas. Scoping searches were conducted on multiple national and international clinical trial registries. Interventional trials testing treatments for long COVID were selected. The search timeline was from database inception to 28 July 2021. This scoping review included 59 clinical trial registration records from 22 countries with a total projected enrolment of 6718. Considerable heterogeneity was exhibited amongst component records with respect to the characterization of long COVID (i.e. name, symptoms- including frequency, intensity, trajectory and duration- mode of ascertainment, and definition of acute phase). In addition, the majority of proposed interventions were non-pharmacological and either targeted multiple long COVID symptoms simultaneously, or focussed on treatment of respiratory/pulmonary sequelae. Multiple interventions targeted inflammation, as well as tissue oxygenation and cellular recovery, and several interventions were repurposed from analogous conditions. The results of this scoping review investigating ongoing clinical trials testing candidate treatments for long COVID suggest that a greater degree of definitional stringency and homogeneity is needed insofar as the characterization of long COVID and inclusion/exclusion criteria.
DOI: 10.15151/esrf-es-1018272324
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX & SAXS to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Department of Biotechnology (DBT) enables studies that provide fundamental mechanistic insight regarding different biological processes. A brief description of over 50 research groups is provided in the global summary and a summary of their research contributions involving data collected at ESRF is provided in the 2 year BAG report. The ESRF-India partnership is supported by a single grant provided to the RCB by the DBT. Please note that a report listing no. of shifts utilized, details of users and the research output from these visits has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-1022934233
title: NORWAY BAG

description: The fifteen PIs associated to this proposal represent the entire crystallography community in Norway and are affiliated to the major Norwegian universities. The research interests of the PIs and their collaborators revolves around topics linked to structural biology and material sciences. We apply for beam time for single- and multi-wavelength MX, Bio-SAXS and Cryo-EM, in support of our research projects funded e.g. by the Research Council of Norway and the ERC. Examples of research projects or topics are carbohydrate-active proteins of medical or bioeconomic relevance, inhibition of DNA repair enzymes, metalloprotein function and catalysis, regulation of cell-cycle processes, enzyme discovery, antibiotic resistance/drug-discovery and neurological diseases. Our overarching aim is to use bright synchrotron sources to produce high quality science.
DOI: 10.18154/rwth-2023-00740
title: ChildASA dataset: Speech and Noise Material for Child-appropriate Paradigms on Auditory Selective Attention

description: This dataset contains speech and noise material for a paradigm to investigate intentional switching of auditory selective attention in children. Two-syllable animal names were recorded from a male child and a female adult speaker. The spoken words were cut to the same length and adjusted to the same loudness to fulfill the requirements of a synchronous presentation. The noise material consists of a German four-talker-babble, recorded from children (all female), and a speech-shaped noise with the long-term spectrum of the children’s four-talker-babble.
DOI: 10.5281/zenodo.7214236
title: Code-mixed Indonesian-Javanese-English Twitter Dataset

description: This is a Twitter dataset for code-mixed language identification. The dataset contains mixed Indonesian, Javanese, and English words.
DOI: 10.5281/zenodo.7214237
title: Code-mixed Indonesian-Javanese-English Twitter Dataset

description: This is a Twitter dataset for code-mixed language identification. The dataset contains mixed Indonesian, Javanese, and English words.
DOI: 10.5281/zenodo.7567573
title: Code-mixed Indonesian-Javanese-English Twitter Dataset

description: This is a Twitter dataset for code-mixed language identification. The dataset contains mixed Indonesian, Javanese, and English words.
DOI: 10.5445/ir/1000147797
title: Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce the ALS simulations]

description: This dataset includes files to reproduce HELIOS++ airborne laser scanning simulations of six 1-ha plots in temperate forests in south-western Germany. In addition, the real ALS data of the same plots is provided. Synthetic 3D representations of the plots were created based on forest inventory information. They were composed of real ULS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns. This dataset includes all files required to run the HELIOS++ simulations, including the synthetic forest stand point clouds, soil layers, scene files, and survey files. The simulation output can then be compared to the real ALS data which is also provided.
DOI: 10.6084/m9.figshare.20231085
title: The shape parameters of coal and gangue particles derived from 3D scanning

description: The irregular shape of mineral particles directly affects the angle of repose, bulk density and the interaction behavior between particles and contact surface. This paper presents a dataset of spatial data and shape parameters collected from 172 coal and gangue particles. The investigated materials were coal and gangue particles. The sample sizes were 37 (gangue particles) and 135 (coal particles). The particle surface models were obtained by Wiiboox 3D scanner and Reeyee_v2.5.0 software. Each particle was scanned 8 times in different directions. The final scanning model was obtained by stacking two scanning surfaces, and the shape parameters such as length ratio, flatness ratio and Zingg index were obtained by the final scanning model. This dataset is particularly useful for researchers and engineers, who want to investigate the shape of coal and gangue particles, or who want to test or benchmark measurement methods concerning the three-dimensional morphology of particles.
DOI: 10.6084/m9.figshare.20231085.v3
title: 3D Scanning and Shape Parameters of Coal and Gangue Particles

description: The irregular shape of mineral particles directly affects the angle of repose, bulk density and the interaction behavior between particles and contact surface. This paper presents a dataset of spatial data and shape parameters collected from 172 coal and gangue particles. The investigated materials were coal and gangue particles. The sample sizes were 37 (gangue particles) and 135 (coal particles). The particle surface models were obtained by Wiiboox 3D scanner and Reeyee_v2.5.0 software. Each particle was scanned 8 times in different directions. The final scanning model was obtained by stacking two scanning surfaces, and the shape parameters such as length ratio, flatness ratio and Zingg index were obtained by the final scanning model. This dataset is particularly useful for researchers and engineers, who want to investigate the shape of coal and gangue particles, or who want to test or benchmark measurement methods concerning the three-dimensional morphology of particles.
DOI: 10.5517/ccdc.csd.cc294l35
title: CCDC 2119566: Experimental Crystal Structure Determination

description: Related Article: Chen-Xu Liu, Fangnuo Zhao, Zuolijun Feng, Quannan Wang, Qing Gu, Shu-Li You|2022|Nat. Synth.|2|49|doi:10.1038/s44160-022-00177-3
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.cc29y83n
title: CCDC 2143281: Experimental Crystal Structure Determination

description: Related Article: Hao Lu, Jiayi Chen, Wenjun Zhou, Lifen Peng, Shuang-Feng Yin, Nobuaki Kambe, Renhua Qiu|2023|Org.Lett.|25|389|doi:10.1021/acs.orglett.2c04101
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.cc29yp76
title: CCDC 2143688: Experimental Crystal Structure Determination

description: Related Article: Jiang-Shan Ma, Han-Yu Lu, Ye-Wei Chen, Wei-Cheng Zhao, Yu-Ze Sun, Rui-Peng Li, Hu-Xiao Wang, Guo-Qiang Lin, Zhi-Tao He|2022|Nat. Synth.|2|37|doi:10.1038/s44160-022-00176-4
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.cc2b9lfp
title: CCDC 2154172: Experimental Crystal Structure Determination

description: Related Article: Guihua Nie, Jun Sun, Chengli Mou, Kun Tang, Yonggui Robin Chi, Tingting Li|2022|Org.Lett.|25|134|doi:10.1021/acs.orglett.2c03945
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.cc2bcf49
title: CCDC 2155930: Experimental Crystal Structure Determination

description: Related Article: Jiang-Shan Ma, Han-Yu Lu, Ye-Wei Chen, Wei-Cheng Zhao, Yu-Ze Sun, Rui-Peng Li, Hu-Xiao Wang, Guo-Qiang Lin, Zhi-Tao He|2022|Nat. Synth.|2|37|doi:10.1038/s44160-022-00176-4
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.cc2brvts
title: CCDC 2167886: Experimental Crystal Structure Determination

description: Related Article: Ting Chen, Wenjun Liu, Wei Gu, Shengtong Niu, Shouang Lan, Zhifei Zhao, Fan Gong, Jinggong Liu, Shuang Yang, Andrej Emanuel Cotman, Jinshuai Song, Xinqiang Fang|2022|J.Am.Chem.Soc.|145|585|doi:10.1021/jacs.2c11149
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: 10.25835/8w2yytg9
title: Visual Inspection Ontology

description: This file contains all relevant files of the developed visual inspection ontology for documenting visual inspections. The ontology is embedded and implemented in the semantics MediaWiki of the SFB. It contains all relevant object and data properties and classes for semantically linking the content to be documented. Furthermore, the file is published and accessible via GitHub
DOI: 10.6084/m9.figshare.21781676
title: Supplementary Material for: Molecular diversity of neuron types in the salamander amygdala and implications for amygdalar evolution

description: The amygdala is a complex brain structure in the vertebrate telencephalon, essential for regulating social behaviors, emotions and (social) cognition. In contrast to the vast majority of neuron types described in the many nuclei of the mammalian amygdala, little is known about the neuronal diversity in non-mammals, making reconstruction of its evolution particularly difficult. Here, we characterize glutamatergic neuron types in the amygdala of the urodele amphibian Pleurodeles waltl. Our single-cell RNA sequencing data indicate the existence of at least ten distinct types and subtypes of glutamatergic neurons in the salamander amygdala. These neuron types are molecularly distinct from neurons in the ventral pallium, suggesting that the pallial amygdala and the ventral pallium are two separate areas in the telencephalon. In situ hybridization for marker genes indicates that amygdalar glutamatergic neuron types are located in three major subdivisions: the lateral amygdala, the medial amygdala, and a newly-defined area demarcated by high expression of the transcription factor Sim1. The gene expression profiles of these neuron types suggest similarities with specific neurons in the sauropsid and mammalian amygdala. In particular, we identify Sim1+ and Sim1+ Otp+ expressing neuron types, potentially homologous to the mammalian nucleus of the lateral olfactory tract (NLOT) and to hypothalamic-derived neurons of the medial amygdala, respectively. Taken together, our results reveal a surprising diversity of glutamatergic neuron types in the amygdala of salamanders, despite the anatomical simplicity of their brain. These results offer new insights on the cellular and anatomical complexity of the amygdala in tetrapod ancestors.
DOI: 10.5281/zenodo.7294021
title: Experimental datasets for coral debris samples collected from different sampling sites at Okinawa Prefecture, Japan

description: The datasets for the following mansucript: Impacts of Particle Shape, Skeletal Porosity and Density on the Settling Velocity of Gravel-size Coral Debris
DOI: 10.5281/zenodo.7294020
title: Experimental datasets for coral debris samples collected from different sampling sites at Okinawa Prefecture, Japan

description: The datasets for the following mansucript: Impacts of Particle Shape, Skeletal Porosity and Density on the Settling Velocity of Gravel-size Coral Debris
DOI: 10.14457/rmutk.the.2021.18
title: Study on the impact of management team stability of project performance

description: In the context of the transition from rapid economic development to stable economic development, project management capabilities have become one of the important factors for companies to maintain their competitive advantages. More and more companies have put forward the concept of reducing costs and increasing efficiency, which is important for project management teams. The stability puts forward higher requirements. The stability of the project management team plays an increasingly obvious role in the improvement of project performance, and its importance is increasing. Research on the impact of the stability of the project management team on project performance and the specific impact mechanism is also becoming more and more important Meaning.
DOI: 10.14457/rmutk.the.2022.12
title: The influence of interior design on the value and behavior of female shoppers in shopping malls

description: The process of marketing managers trying to change the physical environment of their stores to develop special habits. According to the psychological theory, the environment of the shopping center will affect the behavior/purpose of customer s. More precisely, the environment can be an important basis for investigating customers. This study explores the influence of shopping mall interior design on the value and behavior of female shoppers through quantitative experiments. A questionnaire was distributed to 430 female consumers in Taikoo Li Shopping Center in Chengdu City, Sichuan Province to collect feedback data. The results show that the interior design of shopping centers has a significant impact on the hedonic value, product quality, and utilitarian value of female shoppers, which confirms the previous research that product quality has a significant impact on the hedonic value and utilitarian value.
DOI: 10.6084/m9.figshare.21952832
title: Suplementary Table 2.

description: <strong>Suplementary Table 2. Comparison of pre-COVID-19 classical SAT and COVID-19 period classical SAT in terms of hypothyroidism and recurrence</strong>
DOI: 10.6084/m9.figshare.21952832.v1
title: Suplementary Table 2.

description: <strong>Suplementary Table 2. Comparison of pre-COVID-19 classical SAT and COVID-19 period classical SAT in terms of hypothyroidism and recurrence</strong>
DOI: 10.6084/m9.figshare.20087753
title: Models&Parameters

description: The used optimization models and parameters of test systems are given.
DOI: 10.6084/m9.figshare.20087753.v1
title: Models&Parameters

description: The used optimization models and parameters of test systems are given.
DOI: 10.34740/kaggle/dsv/4895627
title: Elon Musk Tweets
DOI: 10.34740/kaggle/dsv/4895633
title: Health Workforce Shortage Areas
DOI: 10.34740/kaggle/dsv/4895645
title: AutoXGB
DOI: 10.5281/zenodo.7555153
title: Remote Screening for Developmental Language Disorder in Bilingual Children: Preliminary Validation in Spanish–Italian Speaking Preschool Children

description: The file contains the data collected from a sample of Spanish-Italian speaking preschool children who were tested with the MuLiMi platform for the validation of the tasks implemented there. The tests (language tasks) have the aim to allow identification of risk of Developmental Language Disorder in the bilingual population. The file is in Italian but English translation is provided for all variables. The bigram "sp" in the variable name indicates Spanish, "it" indicates Italian.
description: {"references": ["Eikerling, M.; Andreoletti, M.; Secco, M.; Luculli, B.; Cha, G.; Castro, S.; Gazzola, S.; Sarti, D.; Garzotto, F.; Guasti, M.T.; Lorusso, M.L.. Remote Screening for Developmental Language Disorder in Bilingual Children: Preliminary Validation in Spanish\u2013Italian Speaking Preschool Children. Appl. Sci. 2023, 13, x. https://doi.org/10.3390/xxxxx"]}
DOI: 10.5281/zenodo.7555154
title: Remote Screening for Developmental Language Disorder in Bilingual Children: Preliminary Validation in Spanish–Italian Speaking Preschool Children

description: The file contains the data collected from a sample of Spanish-Italian speaking preschool children who were tested with the MuLiMi platform for the validation of the tasks implemented there. The tests (language tasks) have the aim to allow identification of risk of Developmental Language Disorder in the bilingual population. The file is in Italian but English translation is provided for all variables. The bigram "sp" in the variable name indicates Spanish, "it" indicates Italian.
description: {"references": ["Eikerling, M.; Andreoletti, M.; Secco, M.; Luculli, B.; Cha, G.; Castro, S.; Gazzola, S.; Sarti, D.; Garzotto, F.; Guasti, M.T.; Lorusso, M.L.. Remote Screening for Developmental Language Disorder in Bilingual Children: Preliminary Validation in Spanish\u2013Italian Speaking Preschool Children. Appl. Sci. 2023, 13, x. https://doi.org/10.3390/xxxxx"]}
DOI: 10.5281/zenodo.7562332
title: A Multimodal Dataset for Automatic Edge-AI Cough Detection

description: Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. There is a need for wearable devices that employ multimodal sensors to perform accurate, privacy-preserving, automatic cough counting algorithms directly on the device in an edge-AI fashion. To advance this research field, we contribute the first publicly accessible cough counting dataset of multimodal biosignals. The database contains nearly 4 hours of biosignal data, with both acoustic and kinematic modalities, covering 4,300 annotated cough events. Furthermore, several non-cough sounds (i.e. breathing, laughing, and throat clearing), background noises (i.e. music, traffic, bystander coughing) and motion scenarios (i.e. sitting, walking) mimicking daily life activities are also present, which the research community can use to accelerate ML algorithm development. For detailed information about using this dataset to train edge-AI models and example code, please refer to our public Git repository: https://github.com/esl-epfl/edge-ai-cough-count/
DOI: 10.5281/zenodo.7562331
title: A Multimodal Dataset for Automatic Edge-AI Cough Detection

description: Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. There is a need for wearable devices that employ multimodal sensors to perform accurate, privacy-preserving, automatic cough counting algorithms directly on the device in an edge-AI fashion. To advance this research field, we contribute the first publicly accessible cough counting dataset of multimodal biosignals. The database contains nearly 4 hours of biosignal data, with both acoustic and kinematic modalities, covering 4,300 annotated cough events. Furthermore, several non-cough sounds (i.e. breathing, laughing, and throat clearing), background noises (i.e. music, traffic, bystander coughing) and motion scenarios (i.e. sitting, walking) mimicking daily life activities are also present, which the research community can use to accelerate ML algorithm development. For detailed information about using this dataset to train edge-AI models and example code, please refer to our public Git repository: https://github.com/esl-epfl/edge-ai-cough-count/
DOI: 10.5281/zenodo.5971467
title: Interviews zu Forschungsdateninfrastrukturen und digitalen Praktiken offener Wissenschaft am Weizenbaum-Institut

description: Die Forschungsgruppe „Digitalisierung der Wissenschaft“ begleitet am Weizenbaum-Institut den Aufbau eines Repositoriums für Publikationen und Forschungsdaten. Als Teil der Anforderungsanalyse wurden leitfadengestützte Interviews mit wissenschaftlichen Mitarbeiter*innen des Weizenbaum-Instituts durchgeführt. Ziel dieser war es, deren Erfahrung mit und Anforderungen an Forschungsdateninfrastrukturen zu identifizieren. Dieser Datensatz beinhaltet: Studienreport, anonymisierte Interviewtranskripte, E-Mail Aufruf, Interviewleitfaden und Einwilligungserklärung.