cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13554149.v1
title: A preliminary assessment of machine learning algorithms for predicting CFD-simulated wind flow patterns over idealised foredunes

description: Foredunes play an important role in protecting coastal communities and their assets. The use of Computational Fluid Dynamics (CFD) to simulate wind flow over foredunes has great potential because it can enable three-dimensional visualisations of the flow field, critical to predicting sediment pathways. Generalised conceptual models of foredune evolution and maintenance can then be built and revised over time as more evidence from the field becomes available. Obtaining field data is, however, time consuming, costly, and weather dependent. CFD is ideally suited to explore what happens when wind transitions across the beach and encounters the stoss face of the foredune. A simple dune shape is used in CFD simulations to tease out the influence of various dune parameters under varying wind conditions. However, it is computationally expensive to run CFD simulations for all combinations of parameters. Representative data were used to train machine learning algorithms, and the results were compared to predicted CFD simulations. The machine learning algorithms were able to identify the cases when recirculation vortices were present and to some extent their relative scales and locations, allowing the exploration and identification of key parameters related to wind flow and dune geomorphology that are associated with turbulent flow structures.
DOI: 10.6084/m9.figshare.14527317
title: Data and Code for "Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research"

description: This repository is for: "Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research".<br>1. Main analysis folder contains data (.rds) and R code (.R) for meta-regressions of lnCV, lnRR and lnCVR contained within the main manuscript (Figs 1-3).<br><br>2. Supplementary folder contains data (.rds) and R code (.R) for: i) second-order meta-regrssion of lnH; ii) arm-based meta-regression of lnSD; iii) sensitivity analyses of lnCV, lnRR and lnCVR; and iv) raw data for plotting the mean-variance relationship.
DOI: 10.6084/m9.figshare.14527317.v3
title: Data and Code for "Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research"

description: The replicability of research results has been a cause of increasing concern to the scientific community. The long-held belief that experimental standardization begets replicability has also been recently challenged, with the observation that the reduction of variability within studies can lead to idiosyncratic, lab-specific results that cannot be replicated. An alternative approach is to, instead, deliberately introduce heterogeneity; known as “heterogenization” of experimental design. Here, we explore a novel perspective in the heterogenization program in a meta-analysis of variability in observed phenotypic outcomes in both control and experimental animal models of ischaemic stroke. First, by quantifying inter-individual variability across control groups we illustrate that the amount of heterogeneity in disease-state (infarct volume) differs according to methodological approach, for example, in disease-induction methods and disease models. We argue that such methods may improve replicability by creating diverse and representative distribution of baseline disease-state in the reference group, against which treatment efficacy is assessed. Second, we illustrate how meta-analysis can be used to simultaneously assess efficacy and stability (i.e., mean effect and among-individual variability). We identify treatments that have efficacy and are generalizable to the population level (i.e., low inter-individual variability), as well as those where there is high inter-individual variability in response; for these latter treatments translation to a clinical setting may require nuance. We argue that by embracing rather than seeking to minimise variability in phenotypic outcomes, we can motivate the shift towards heterogenization and improve both the replicability and generalizability of preclinical research.
DOI: 10.15139/s3/b2o09e
title: Replication and Extension Data for: Barber and Pope 2019

description: This data repository contains the data and R code for reproduction and extension of Barber and Pope 2019.
DOI: 10.6084/m9.figshare.14527509
title: Text data

description: text
DOI: 10.6084/m9.figshare.14527509.v1
title: Text data

description: text
DOI: 10.5281/zenodo.4733269
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.4733289
title: nanome pipeline used DeepMod

description: We use DeepMod model in nanome pipeline for DeepMod methylation callings, from https://github.com/WGLab/DeepMod
DOI: 10.5281/zenodo.4733288
title: nanome pipeline used DeepMod

description: We use DeepMod model in nanome pipeline for DeepMod methylation callings, from https://github.com/WGLab/DeepMod
DOI: 10.6084/m9.figshare.14527542.v1
title: List of Interviews

description: list of interviews
DOI: 10.6084/m9.figshare.14527542
title: List of Interviews

description: list of interviews
DOI: 10.5281/zenodo.4282650
title: Code and dataset used in paper.

description: Three zip files for code and dataset used in paper "FAPR: Fast and Accurate Program Repair for Introductory Programming Courses". project.zip contains the core program of our tool; code.zip contains 45,897 programs from five problems used in our experiments, together with the test cases of these problems; repairs.zip contains the repairs generated by FAPR and Clara for 250 of the incorrect programs, which is the dataset used in our user study.
DOI: 10.5281/zenodo.4282649
title: Code and dataset used in paper.

description: Three zip files for code and dataset used in paper "FAPR: Fast and Accurate Program Repair for Introductory Programming Courses". project.zip contains the core program of our tool; code.zip contains 45,897 programs from five problems used in our experiments, together with the test cases of these problems; repairs.zip contains the repairs generated by FAPR and Clara for 250 of the incorrect programs, which is the dataset used in our user study.
DOI: 10.5281/zenodo.4733315
title: Data associated with "Discovery of a Cooper-Pair Density Wave State in a Transition-Metal Dichalcogenide"

description: This dataset contains all the data in "Discovery of a Cooper-Pair Density Wave State in a Transition-Metal Dichalcogenide"
DOI: 10.5281/zenodo.4733314
title: Data associated with "Discovery of a Cooper-Pair Density Wave State in a Transition-Metal Dichalcogenide"

description: This dataset contains all the data in "Discovery of a Cooper-Pair Density Wave State in a Transition-Metal Dichalcogenide"
DOI: 10.5281/zenodo.4733297
title: Data files to support reproducing analyses in "Genetic influences on hub connectivity of the human connectome"

description: A repository of data to accompany the manuscript, 'Genetic influences on hub connectivity of the human connectome'. A description of how these files can be used to reproduce analyses is in the documentation for the code in this repository https://github.com/BMHLab/GeneticBrainHubs.
description: {"references": ["Arnatkeviciute et al., Genetic influences on hub connectivity of the human connectome. bioRxiv. https://doi.org/10.1101/2020.06.21.163915"]}
DOI: 10.5281/zenodo.4724185
title: Data files to support reproducing analyses in "Genetic influences on hub connectivity of the human connectome"

description: A repository of data to accompany the manuscript, 'Genetic influences on hub connectivity of the human connectome'. A description of how these files can be used to reproduce analyses is in the documentation for the code in this repository https://github.com/BMHLab/GeneticBrainHubs.
description: {"references": ["Arnatkeviciute et al., Genetic influences on hub connectivity of the human connectome. bioRxiv. https://doi.org/10.1101/2020.06.21.163915"]}
DOI: 10.26180/5f4c8d5815940
title: Honeybee video tracking data

description: Monitoring animals in their natural habitat is essential for the advancement of animal behavioural studies, especially in pollination studies. We present a novel hybrid detection and tracking algorithm "HyDaT" to monitor unmarked insects outdoors. Our software can detect an insect, identify when a tracked insect becomes occluded from view and when it re-emerges, determine when an insect exits the camera field of view, and our software assembles a series of insect locations into a coherent trajectory. The insect detecting component of the software uses background subtraction and deep learning-based detection together to accurately and efficiently locate the insect.<br>This dataset includes videos of honeybees foraging in two ground-covers Scaevola and Lamb's-ear, comprising of complex background detail, wind-blown foliage, and honeybees moving into and out of occlusion beneath leaves and among three-dimensional plant structures. Honeybee tracks and associated outputs of experiments extracted using HyDaT algorithm are included in the dataset. The dataset also contains annotated images and pre-trained YOLOv2 object detection models of honeybees.
DOI: 10.5517/ccdc.csd.cc228t6d
title: CCDC 1915093: Experimental Crystal Structure Determination

description: Related Article: Sellamuthu Anbu, Sabrina H. L. Hoffmann, Fabio Carniato, Lawrence Kenning, Thomas W. Price, Timothy J. Prior, Mauro Botta, Andre F. Martins, Graeme J. Stasiuk|2021|Angew.Chem.,Int.Ed.|60|10736|doi:10.1002/anie.202100885
DOI: 10.5517/ccdc.csd.cc22b2dx
title: CCDC 1916308: Experimental Crystal Structure Determination

description: Related Article: Sellamuthu Anbu, Sabrina H. L. Hoffmann, Fabio Carniato, Lawrence Kenning, Thomas W. Price, Timothy J. Prior, Mauro Botta, Andre F. Martins, Graeme J. Stasiuk|2021|Angew.Chem.,Int.Ed.|60|10736|doi:10.1002/anie.202100885
DOI: 10.5517/ccdc.csd.cc245zbn
title: CCDC 1971951: Experimental Crystal Structure Determination

description: Related Article: Banglin Chen, Xu Zhang, Jia-Xin Wang, Libo Li, Jiyan Pei, Rajamani Krishna, Hui Wu, Wei Zhou, Guodong Qian, Bin Li|2021|Angew.Chem.,Int.Ed.|60|10304|doi:10.1002/anie.202100342
DOI: 10.5517/ccdc.csd.cc24q838
title: CCDC 1987599: Experimental Crystal Structure Determination

description: Related Article: Mingchun Ye, Raul F. Lobo, Glenn P. A. Yap|2020|CSD Communication|||
description: Related Article: Mingchun Ye, Mi Jen Kuo, Raul F. Lobo|2021|Appl.Catal.,A|619|118138|doi:10.1016/j.apcata.2021.118138
DOI: 10.5517/ccdc.csd.cc260r11
title: CCDC 2026502: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Qinghai Zhou, Wenjun Tang|2021|Angew.Chem.,Int.Ed.|60|9978|doi:10.1002/anie.202101668
DOI: 10.5517/ccdc.csd.cc260r22
title: CCDC 2026503: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Qinghai Zhou, Wenjun Tang|2021|Angew.Chem.,Int.Ed.|60|9978|doi:10.1002/anie.202101668
DOI: 10.5517/ccdc.csd.cc26n1db
title: CCDC 2045051: Experimental Crystal Structure Determination

description: Related Article: Davide Balestri, Paolo P. Mazzeo, Roberto Perrone, Fabio Fornari, Federica Bianchi, Maria Careri, Alessia Bacchi, Paolo Pelagatti|2021|Angew.Chem.,Int.Ed.|60|10194|doi:10.1002/anie.202017105
DOI: 10.5517/ccdc.csd.cc26n1fc
title: CCDC 2045052: Experimental Crystal Structure Determination

description: Related Article: Davide Balestri, Paolo P. Mazzeo, Roberto Perrone, Fabio Fornari, Federica Bianchi, Maria Careri, Alessia Bacchi, Paolo Pelagatti|2021|Angew.Chem.,Int.Ed.|60|10194|doi:10.1002/anie.202017105
DOI: 10.5517/ccdc.csd.cc26n1gd
title: CCDC 2045053: Experimental Crystal Structure Determination

description: Related Article: Davide Balestri, Paolo P. Mazzeo, Roberto Perrone, Fabio Fornari, Federica Bianchi, Maria Careri, Alessia Bacchi, Paolo Pelagatti|2021|Angew.Chem.,Int.Ed.|60|10194|doi:10.1002/anie.202017105
DOI: 10.5517/ccdc.csd.cc26n1hf
title: CCDC 2045054: Experimental Crystal Structure Determination

description: Related Article: Davide Balestri, Paolo P. Mazzeo, Roberto Perrone, Fabio Fornari, Federica Bianchi, Maria Careri, Alessia Bacchi, Paolo Pelagatti|2021|Angew.Chem.,Int.Ed.|60|10194|doi:10.1002/anie.202017105
DOI: 10.5517/ccdc.csd.cc26n1jg
title: CCDC 2045055: Experimental Crystal Structure Determination

description: Related Article: Davide Balestri, Paolo P. Mazzeo, Roberto Perrone, Fabio Fornari, Federica Bianchi, Maria Careri, Alessia Bacchi, Paolo Pelagatti|2021|Angew.Chem.,Int.Ed.|60|10194|doi:10.1002/anie.202017105
DOI: 10.5517/ccdc.csd.cc26td0g
title: CCDC 2050185: Experimental Crystal Structure Determination

description: Related Article: Soumya Mukherjee, Naveen Kumar, Andrey A. Bezrukov, Kui Tan, Tony Pham, Katherine A. Forrest, Kolade A. Oyekan, Omid T. Qazvini, David G. Madden, Brian Space, Michael J. Zaworotko|2021|Angew.Chem.,Int.Ed.|60|10902|doi:10.1002/anie.202100240
DOI: 10.5281/zenodo.4632893
title: Cluster-based gene detection of mitochondrial genomes using de-Bruijn graphs

description: Database and result data sets for MDBG Annotation. Contains: - Postgresql database copy (db) - CSV for gapStatistic - CSV for jaccardStatistic Source code is available at:
DOI: 10.5281/zenodo.4632892
title: Cluster-based gene detection of mitochondrial genomes using de-Bruijn graphs

description: Database and result data sets for MDBG Annotation. Contains: - Postgresql database copy (db) - CSV for gapStatistic - CSV for jaccardStatistic Source code is available at:
DOI: 10.6084/m9.figshare.14528445.v1
title: Effect of remineralizing agents on resin-dentin bond durability of adhesive restorations

description: To prolong the clinical success and durability of bonded restorations, hybrid layer stabilization is crucial for better adhesion between the resin and tooth substrate.<b>Aim: </b>To assess the ability of self assembling peptide (curodont protect) and a remineralizing agent (MI paste plus) in promoting biomimetic remineralization for the stabilization of hybrid layer to improve the resin-dentin bond durability. <b>Materials and Method</b>: Standardized mesio and disto-occlusal cavities were prepared on 60 mandibular molars. Prior to bonding procedure half of MO cavities were pretreated with curodont protect and another half with MI paste plus. Half of DO cavities (n=30) were pretreated with chlorhexidine whereas, other half didnot receive any treatment. Half samples from each group (n=15) were subjected to thermomechanical load cycles. Bond strength was tested with universal testing machine, and the type of bond failure was assessed under scanning electron microscope. Data obtained in megapascals was analyzed by one-way ANOVA and Tukey’s multiple posthoc test with significance level set at p≤0.05. <b>Results: </b>Immediate bond strength values were significantly high for control group and low for MI paste plus group (p=0.002). Significant difference was not observed between curodont protect and chlorhexidine (p=0.0514). In all groups bond strength values were decreased significantly after thermomechanical cyclic loading (p=0.0001). Adhesive failures were reported more in failure mode analysis. <b>Conclusion</b>: All groups exhibited reduced µTBS values after aging. The dentin treated with chlorhexidine, curodont protect, MI paste plus produced more durable bonding than control group.<br>
DOI: 10.6084/m9.figshare.14528445
title: Effect of remineralizing agents on resin-dentin bond durability of adhesive restorations

description: To prolong the clinical success and durability of bonded restorations, hybrid layer stabilization is crucial for better adhesion between the resin and tooth substrate.<b>Aim: </b>To assess the ability of self assembling peptide (curodont protect) and a remineralizing agent (MI paste plus) in promoting biomimetic remineralization for the stabilization of hybrid layer to improve the resin-dentin bond durability. <b>Materials and Method</b>: Standardized mesio and disto-occlusal cavities were prepared on 60 mandibular molars. Prior to bonding procedure half of MO cavities were pretreated with curodont protect and another half with MI paste plus. Half of DO cavities (n=30) were pretreated with chlorhexidine whereas, other half didnot receive any treatment. Half samples from each group (n=15) were subjected to thermomechanical load cycles. Bond strength was tested with universal testing machine, and the type of bond failure was assessed under scanning electron microscope. Data obtained in megapascals was analyzed by one-way ANOVA and Tukey’s multiple posthoc test with significance level set at p≤0.05. <b>Results: </b>Immediate bond strength values were significantly high for control group and low for MI paste plus group (p=0.002). Significant difference was not observed between curodont protect and chlorhexidine (p=0.0514). In all groups bond strength values were decreased significantly after thermomechanical cyclic loading (p=0.0001). Adhesive failures were reported more in failure mode analysis. <b>Conclusion</b>: All groups exhibited reduced µTBS values after aging. The dentin treated with chlorhexidine, curodont protect, MI paste plus produced more durable bonding than control group.<br>
DOI: 10.5517/ccdc.csd.cc278bxs
title: CCDC 2063605: Experimental Crystal Structure Determination

description: Related Article: Shuhao An, Qing Xu, Zhihui Ni, Jun Hu, Changjun Peng, Lipeng Zhai, Yu Guo, Honglai Liu|2021|Angew.Chem.,Int.Ed.|60|9959|doi:10.1002/anie.202101163
DOI: 10.5517/ccdc.csd.cc278byt
title: CCDC 2063606: Experimental Crystal Structure Determination

description: Related Article: Shuhao An, Qing Xu, Zhihui Ni, Jun Hu, Changjun Peng, Lipeng Zhai, Yu Guo, Honglai Liu|2021|Angew.Chem.,Int.Ed.|60|9959|doi:10.1002/anie.202101163
DOI: 10.5517/ccdc.csd.cc26zhxm
title: CCDC 2055111: Experimental Crystal Structure Determination

description: Related Article: Mingyeong Shin, Seulgi Kim, Eunji Lee, Jong Hwa Jung, In-Hyeok Park, Shim Sung Lee|2021|Inorg.Chem.|60|5804|doi:10.1021/acs.inorgchem.1c00114
DOI: 10.5517/ccdc.csd.cc26qrnc
title: CCDC 2047663: Experimental Crystal Structure Determination

description: Related Article: Mingyeong Shin, Seulgi Kim, Eunji Lee, Jong Hwa Jung, In-Hyeok Park, Shim Sung Lee|2021|Inorg.Chem.|60|5804|doi:10.1021/acs.inorgchem.1c00114
DOI: 10.5517/ccdc.csd.cc26qrpd
title: CCDC 2047664: Experimental Crystal Structure Determination

description: Related Article: Mingyeong Shin, Seulgi Kim, Eunji Lee, Jong Hwa Jung, In-Hyeok Park, Shim Sung Lee|2021|Inorg.Chem.|60|5804|doi:10.1021/acs.inorgchem.1c00114
DOI: 10.5517/ccdc.csd.cc26qrqf
title: CCDC 2047665: Experimental Crystal Structure Determination

description: Related Article: Mingyeong Shin, Seulgi Kim, Eunji Lee, Jong Hwa Jung, In-Hyeok Park, Shim Sung Lee|2021|Inorg.Chem.|60|5804|doi:10.1021/acs.inorgchem.1c00114
DOI: 10.6084/m9.figshare.14528571
title: Supplementary Material for: Survey on Acceptance of Passive Technology Monitoring for Early Detection of Cognitive Impairment

description: Introduction: Digital biomarkers may act as a tool for early detection of changes in cognition. It is important to under?stand public perception of technologies focused on moni?toring cognition to better guide the design of these tools and inform patients appropriately about the associated risks and benefits. Health care systems may also play a role in the clinical, legal, and financial implications of such technolo?gies. Objective: To evaluate public opinion on the use of pas?sive technology for monitoring cognition. Methods: This was a one-time, Internet-based survey conducted in English and Spanish. Results: Within the English survey distributed in the USA (n = 173), 58.1% of respondents would be highly likely to agree to passive monitoring of cognition via a smart?phone application. Thirty-eight percent of those with a high?er degree of experience with technology were likely to agree to monitoring versus 20% of those with less experience with technology (p = 0.003). Sixty-two percent of non-health-care professionals were likely to agree to monitoring versus 45% of health-care workers (p = 0.012). There were significant concerns regarding privacy (p &lt; 0.01). We compared the surveys answered in Spanish in Costa Rica via logistic regression (n = 43, total n = 216), adjusting for age, education level, health-care profession, owning a smartphone, experience with technology, and perception of cognitive decline. Costa Rican/Spanish-speaking respondents were 7 times more likely to select a high probability of agreeing to such a tech?nology (p &lt; 0.01). English-speaking respondents from the USA were 5 times more likely to be concerned about the im?pact on health insurance (p = 0.001) and life insurance (p = 0.01). Conclusions: Understanding public perception and ethical implications should guide the design of digital bio?markers for cognition. Privacy and the health-care system in which the participants take part are 2 major factors to be considered. It is the responsibility of researchers to convey the ethical and legal implications of cognition monitoring. <br>
DOI: 10.6084/m9.figshare.14528571.v1
title: Supplementary Material for: Survey on Acceptance of Passive Technology Monitoring for Early Detection of Cognitive Impairment

description: Introduction: Digital biomarkers may act as a tool for early detection of changes in cognition. It is important to under?stand public perception of technologies focused on moni?toring cognition to better guide the design of these tools and inform patients appropriately about the associated risks and benefits. Health care systems may also play a role in the clinical, legal, and financial implications of such technolo?gies. Objective: To evaluate public opinion on the use of pas?sive technology for monitoring cognition. Methods: This was a one-time, Internet-based survey conducted in English and Spanish. Results: Within the English survey distributed in the USA (n = 173), 58.1% of respondents would be highly likely to agree to passive monitoring of cognition via a smart?phone application. Thirty-eight percent of those with a high?er degree of experience with technology were likely to agree to monitoring versus 20% of those with less experience with technology (p = 0.003). Sixty-two percent of non-health-care professionals were likely to agree to monitoring versus 45% of health-care workers (p = 0.012). There were significant concerns regarding privacy (p &lt; 0.01). We compared the surveys answered in Spanish in Costa Rica via logistic regression (n = 43, total n = 216), adjusting for age, education level, health-care profession, owning a smartphone, experience with technology, and perception of cognitive decline. Costa Rican/Spanish-speaking respondents were 7 times more likely to select a high probability of agreeing to such a tech?nology (p &lt; 0.01). English-speaking respondents from the USA were 5 times more likely to be concerned about the im?pact on health insurance (p = 0.001) and life insurance (p = 0.01). Conclusions: Understanding public perception and ethical implications should guide the design of digital bio?markers for cognition. Privacy and the health-care system in which the participants take part are 2 major factors to be considered. It is the responsibility of researchers to convey the ethical and legal implications of cognition monitoring. <br>
DOI: 10.34740/kaggle/dsv/2186729
title: Contrastive Language Image Pretraining by openai