cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7516250
title: Maternal pandemic-related stress during pregnancy associates with infants' socio-cognitive development at 12 months: a longitudinal multi-centric study

description: <strong>Introduction.</strong> This database includes the raw data linked with the paper “Maternal pandemic-related stress during pregnancy associates with infants’ socio-cognitive development at 12 months: A longitudinal multi-centric study”. This study is part of the longitudinal and multi-centric “Measuring the outcomes of maternal COVID-19-related prenatal exposure (MOM-COPE)” research project. In this study, we report on the effects of maternal prenatal stress related to the COVID-19 pandemic on 12-month-old infants’ behavioral markers of socio-cognitive development. <strong>Methods.</strong> Ninety infants and their mothers provided complete longitudinal data from birth to 12 months. At birth, mothers reported on pandemic-related stress (PRS) during pregnancy through an ad-hoc scale (attached). At infants’ 12-month-age, a remote mother-infant interaction was videotaped: after an initial 2-min face-to-face episode, the experimenter remotely played a series of four auditory stimuli. Infants’ orienting, communication, and pointing toward the auditory source was micro-analytically coded. <strong>Analytical plan.</strong> Two principal component analyses (PCA) were used to reduce the infant behavioral data. The first PCA yielded 3 principal components (Orienting; Communication; Pointing), while the second PCA showed the presence of an over-arching socio-cognitive score. Separate independent-sample t-tests were used to assess the presence of statistically significant differences in maternal prenatal PRS between infants who showed or not each of the socio-cognitive behavior. Separate hierarchical regression models were used to further test the effect of PRS on infants’ socio-cognitive development continuous measures. <strong>Results in brief.</strong> Mothers who reported greater prenatal pandemic-related stress had infants with higher probability of showing no communication or pointing after the auditory stimuli. A significant and negative linear association was found between maternal prenatal PRS and infants’ SCS at 12 months, while adjusting for potential confounders.
description: Funding: Cinque per Mille, 2017; Ricerca Corrente 2022, Ministry of Helath (Italy); Fondazione Roche Italia (Fondazione Roche per la Ricerca Indipendente 2020); Fondazione Roche Italia "Ricerca Indipendente
DOI: 10.5281/zenodo.7516249
title: Maternal pandemic-related stress during pregnancy associates with infants' socio-cognitive development at 12 months: a longitudinal multi-centric study

description: <strong>Introduction.</strong> This database includes the raw data linked with the paper “Maternal pandemic-related stress during pregnancy associates with infants’ socio-cognitive development at 12 months: A longitudinal multi-centric study”. This study is part of the longitudinal and multi-centric “Measuring the outcomes of maternal COVID-19-related prenatal exposure (MOM-COPE)” research project. In this study, we report on the effects of maternal prenatal stress related to the COVID-19 pandemic on 12-month-old infants’ behavioral markers of socio-cognitive development. <strong>Methods.</strong> Ninety infants and their mothers provided complete longitudinal data from birth to 12 months. At birth, mothers reported on pandemic-related stress (PRS) during pregnancy through an ad-hoc scale (attached). At infants’ 12-month-age, a remote mother-infant interaction was videotaped: after an initial 2-min face-to-face episode, the experimenter remotely played a series of four auditory stimuli. Infants’ orienting, communication, and pointing toward the auditory source was micro-analytically coded. <strong>Analytical plan.</strong> Two principal component analyses (PCA) were used to reduce the infant behavioral data. The first PCA yielded 3 principal components (Orienting; Communication; Pointing), while the second PCA showed the presence of an over-arching socio-cognitive score. Separate independent-sample t-tests were used to assess the presence of statistically significant differences in maternal prenatal PRS between infants who showed or not each of the socio-cognitive behavior. Separate hierarchical regression models were used to further test the effect of PRS on infants’ socio-cognitive development continuous measures. <strong>Results in brief.</strong> Mothers who reported greater prenatal pandemic-related stress had infants with higher probability of showing no communication or pointing after the auditory stimuli. A significant and negative linear association was found between maternal prenatal PRS and infants’ SCS at 12 months, while adjusting for potential confounders.
description: Funding: Cinque per Mille, 2017; Ricerca Corrente 2022, Ministry of Helath (Italy); Fondazione Roche Italia (Fondazione Roche per la Ricerca Indipendente 2020); Fondazione Roche Italia "Ricerca Indipendente
DOI: 10.6084/m9.figshare.22698668
title: New insights into the stratigraphic evolution of southwest Britain: Implications for Triassic salt and hydrocarbon prospectivity

description: Supplementary data: spreadsheet with seismic and well data used in the study, and petroleum system modelling input data.
DOI: 10.6084/m9.figshare.22698668.v1
title: New insights into the stratigraphic evolution of southwest Britain: Implications for Triassic salt and hydrocarbon prospectivity

description: Supplementary data: spreadsheet with seismic and well data used in the study, and petroleum system modelling input data.
DOI: 10.6084/m9.figshare.22325009
title: A multiple linear regression approach to the estimation of carboxylic acid ester and lactone alkaline hydrolysis rate constants

description: Pesticides, pharmaceuticals, and other organic contaminants often undergo hydrolysis when released into the environment; therefore, measured or estimated hydrolysis rates are needed to assess their environmental persistence. An intuitive multiple linear regression (MLR) approach was used to develop robust QSARs for predicting base-catalyzed rate constants of carboxylic acid esters (CAEs) and lactones. We explored various combinations of independent descriptors, resulting in four primary models (two for lactones and two for CAEs), with a total of 15 and 11 parameters included in the CAE and lactone QSAR models, respectively. The most significant descriptors include p<i>K</i><sub>a</sub>, electronegativity, charge density, and steric parameters. Model performance is assessed using Drug Theoretics and Cheminformatics Laboratory’s DTC-QSAR tool, demonstrating high accuracy for both internal validation (<i>r</i><sup>2</sup> = 0.93 and RMSE = 0.41–0.43 for CAEs; <i>r</i><sup>2</sup> = 0.90–0.93 and RMSE = 0.38–0.46 for lactones) and external validation (<i>r</i><sup>2</sup> = 0.93 and RMSE = 0.43–0.45 for CAEs; <i>r</i><sup>2</sup> = 0.94–0.98 and RMSE = 0.33–0.41 for lactones). The developed models require only low-cost computational resources and have substantially improved performance compared to existing hydrolysis rate prediction models (HYDROWIN and SPARC).
DOI: 10.6084/m9.figshare.22325009.v1
title: A multiple linear regression approach to the estimation of carboxylic acid ester and lactone alkaline hydrolysis rate constants

description: Pesticides, pharmaceuticals, and other organic contaminants often undergo hydrolysis when released into the environment; therefore, measured or estimated hydrolysis rates are needed to assess their environmental persistence. An intuitive multiple linear regression (MLR) approach was used to develop robust QSARs for predicting base-catalyzed rate constants of carboxylic acid esters (CAEs) and lactones. We explored various combinations of independent descriptors, resulting in four primary models (two for lactones and two for CAEs), with a total of 15 and 11 parameters included in the CAE and lactone QSAR models, respectively. The most significant descriptors include p<i>K</i><sub>a</sub>, electronegativity, charge density, and steric parameters. Model performance is assessed using Drug Theoretics and Cheminformatics Laboratory’s DTC-QSAR tool, demonstrating high accuracy for both internal validation (<i>r</i><sup>2</sup> = 0.93 and RMSE = 0.41–0.43 for CAEs; <i>r</i><sup>2</sup> = 0.90–0.93 and RMSE = 0.38–0.46 for lactones) and external validation (<i>r</i><sup>2</sup> = 0.93 and RMSE = 0.43–0.45 for CAEs; <i>r</i><sup>2</sup> = 0.94–0.98 and RMSE = 0.33–0.41 for lactones). The developed models require only low-cost computational resources and have substantially improved performance compared to existing hydrolysis rate prediction models (HYDROWIN and SPARC).
DOI: 10.6084/m9.figshare.22698661
title: western

description: raw data of Dinaciclib exerts a tumor-suppressing effect via β-catenin/YAP axis in pancreatic ductal adenocarcinoma
DOI: 10.5522/04/22698625
title: SPSS file of data on handaxes from the sites of Tabun, Khall Amayshan 4, and Khabb Musayyib

description: SPSS file containing variables recorded on handaxes from the later Acheulean sites of Tabun, Khall Amayshan, and Khabb Musayyib in southwest Asia. The variables include weight, surface area, material, blank type, and number of scars.
DOI: 10.5522/04/22698625.v1
title: SPSS file of data on handaxes from the sites of Tabun, Khall Amayshan 4, and Khabb Musayyib

description: SPSS file containing variables recorded on handaxes from the later Acheulean sites of Tabun, Khall Amayshan, and Khabb Musayyib in southwest Asia. The variables include weight, surface area, material, blank type, and number of scars.
DOI: 10.6084/m9.figshare.22698769
title: CON_Aligned_sorted.bam.bai

description: H3K4me3 ChIP seqeuncing bai
DOI: 10.6084/m9.figshare.22698769.v2
title: CON_Aligned_sorted.bam.bai

description: H3K4me3 ChIP seqeuncing bai
DOI: 10.6084/m9.figshare.22698769.v1
title: Untitled Item

description: H3K4me3 ChIP seqeuncing bai
DOI: 10.25345/c5377651q
title: MassIVE MSV000091798 - Fluctuating light induced plant robustness against photorespiratory perturbations
title: Metabolomics of Arabidopsis photorespiration mutants under fluctuating light conditions
DOI: 10.6084/m9.figshare.22698379
title: ISIC2018_Task1-2_Training_Input.zip

description: To comply with the attribution requirements of the CC-BY-NC license , the aggregate "ISIC 2018: Training" data must be cited as: HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161<br> MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368 When referencing this dataset in your own manuscripts and publications, please use the following full citations: [1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, Harald Kittler, Allan Halpern: "Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)", 2018; https://arxiv.org/abs/1902.03368<br> [2] Tschandl, P., Rosendahl, C. & Kittler, H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 doi:10.1038/sdata.2018.161 (2018).
DOI: 10.18716/dch/c.00000001
title: Qaqet child language corpus
title: longitudinal study

description: This dataset of the Qaqet language (ISO 639-3 byx, Glottolog qaqe1238) of Papua New Guinea was compiled as part of the project ‘Psycholinguistics and Language Documentation’ (2014-2022), generously funded by the Lichtenberg Program of the Volkswagen Foundation. Our project studies language acquisition and socialization among the Qaqet of Raunsepna (-4.43, 151.79) and Kamanakam (-4.35, 151.88). Children in Raunsepna grow up with Qaqet as their dominant language (with the national language Tok Pisin playing a minor role), while children in Kamanakam grow up in a highly multilingual environment (with Tok Pisin playing a prominent role early on). The heart of the project is a longitudinal corpus of a number of focal children (between the ages of 2 and 4) and their older and younger siblings. Families videotaped their children, aiming for one hour each week over a period of at least one year. The goal was to record children in their typical day-to-day activities, and to thus gain an idea of their language environment and development over time. Due to the sensitive nature of child data, the data is not openly available, but it can be made available for research purposes upon request. For information, contact Birgit Hellwig (https://ifl.phil-fak.uni-koeln.de/prof-hellwig). For an overview of the corpus structure, visit our corpus site (https://qaqet.phil-fak.uni-koeln.de/corpus). For information on the project and the language, visit our project site (https://qaqet.phil-fak.uni-koeln.de/).
DOI: 10.5281/zenodo.7318089
title: DLTrack - Examples & Models

description: This repository containes the example data for the DL_Track algorithm. Here, we provide the pre-trained aponeuroses and fascicle neural networks as well as example and test data. The DL_Track package provides an easy to use graphical user interface (GUI) for deep learning based analysis of muscle architectural parameters from longitudinal ultrasonography images of human lower limb muscles. Please take a look at our documentation (DL_Track — DLTrack 0.1.0 documentation) for more information.
DOI: 10.5281/zenodo.7520050
title: Corona Immunitas Phases 1 to 4 - Central Database

description: Corona Immunitas was a Switzerland-wide, population-based SARS-CoV-2 study, assessing the seroprevalence and other study outcomes over six phases, starting in 2020 and ending in 2023. This entry describes the central database of study phases 1 to 4. Study phases 5 and 6 have been described elsewhere. This entry consists of the documentation of the database, the guide how to get access to the data, the description of available variables, and wording of survey questions, where applicable.
description: Supporters (ordered alphabetically): Cantons of Basel-Landschaft, Basel-Stadt and Vaud CSS Versicherung Economiesuisse Ernst Göhner Stiftung Frontiers Helsana Versicherung Swiss Federal Office of Public Health Swiss School of Public Health (SSPH+) Symphasis Takeda ViiV Healthcare Zürcher Handelskammer Zürich Versicherung
DOI: 10.5281/zenodo.7520049
title: Corona Immunitas Phases 1 to 4 - Central Database

description: Corona Immunitas was a Switzerland-wide, population-based SARS-CoV-2 study, assessing the seroprevalence and other study outcomes over six phases, starting in 2020 and ending in 2023. This entry describes the central database of study phases 1 to 4. Study phases 5 and 6 have been described elsewhere. This entry consists of the documentation of the database, the guide how to get access to the data, the description of available variables, and wording of survey questions, where applicable.
description: Supporters (ordered alphabetically): Cantons of Basel-Landschaft, Basel-Stadt and Vaud CSS Versicherung Economiesuisse Ernst Göhner Stiftung Frontiers Helsana Versicherung Swiss Federal Office of Public Health Swiss School of Public Health (SSPH+) Symphasis Takeda ViiV Healthcare Zürcher Handelskammer Zürich Versicherung
DOI: 10.5281/zenodo.7520125
title: Corona Immunitas Phases 5 and 6 - Central Database

description: Corona Immunitas was a Switzerland-wide, population-base SARS-CoV-2 study, assessing the seroprevalence and other study outcomes over six phases, starting in 2020 and ending in 2023. This entry describes the central database of study phases 5 and 6. Study phases 1 to 4 have been described elsewhere. This entry consists of the documentation of the database, the guide how to get access to the data and the description of available variables.
description: Supporters (ordered alphabetically): Cantons of Basel-Landschaft, Basel-Stadt and Vaud CSS Versicherung Economiesuisse Ernst Göhner Stiftung Frontiers Helsana Versicherung Swiss Federal Office of Public Health Swiss School of Public Health (SSPH+) Symphasis Takeda ViiV Healthcare Zürcher Handelskammer Zürich Versicherung
DOI: 10.5281/zenodo.7520124
title: Corona Immunitas Phases 5 and 6 - Central Database

description: Corona Immunitas was a Switzerland-wide, population-base SARS-CoV-2 study, assessing the seroprevalence and other study outcomes over six phases, starting in 2020 and ending in 2023. This entry describes the central database of study phases 5 and 6. Study phases 1 to 4 have been described elsewhere. This entry consists of the documentation of the database, the guide how to get access to the data and the description of available variables.
description: Supporters (ordered alphabetically): Cantons of Basel-Landschaft, Basel-Stadt and Vaud CSS Versicherung Economiesuisse Ernst Göhner Stiftung Frontiers Helsana Versicherung Swiss Federal Office of Public Health Swiss School of Public Health (SSPH+) Symphasis Takeda ViiV Healthcare Zürcher Handelskammer Zürich Versicherung
DOI: 10.6084/m9.figshare.21249081
title: Genome assembly, annotation, ChIP-Seq and DNase-Seq of triploid cultivated banana

description: Genome assemblies and annotations of Cavendish and Gros Michel bananas. Results of ChIP-Seq and DNase-Seq of Baxi. We also upload the scripts for mapping origins of chromosome segments of triploid cultivated bananas.
DOI: 10.6084/m9.figshare.21249081.v1
title: Genome and annotation of triploid cultivated banana

description: Genome assemblies and annotations of Cavendish and Gros Michel bananas
DOI: 10.5281/zenodo.6536645
title: Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2)

description: This upload contains or links to the biological data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated 2022 as bioRxiv https://doi.org/10.1101/105437v2, mostly testing and simulating the effect of a slow circadian clock in the <em>prr7prr9 </em>double mutant compared to the Col wild type plants, with controls in <em>lsf1 </em>and <em>prr7 </em>single mutants. This is one of the outputs from the EU TiMet project, https://fairdomhub.org/projects/92. Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including <em>pgm</em>, <em>lhy cca1, </em>and in one case, <em>toc1 </em>and <em>gi</em>. This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on Investigation https://fairdomhub.org/investigations/123. The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare. We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.
DOI: 10.6084/m9.figshare.21164416.v2
title: Impact of socio-behavioral measures implemented during the SARS-CoV-2 pandemic on the outcomes of febrile neutropenia episodes in pediatric cancer patients: a single center quasi-experimental pre-post study

description: During COVID-19, public health measures including masks and social distancing decreased viral upper respiratory infections (URI). Upper respiratory infections are the most common infectious etiology for low-risk pediatric febrile neutropenia (FN). This single-center, quasi-experimental, pre-post study was designed to understand the impact of public health measures on FN admissions and outcomes in the general pediatric oncology population during the COVID (March 2020–February 2021) vs. pre-COVID era (January 2018–February 2020) and their respective respiratory seasons (November–February). Episodes were risk-stratified using a tool recommended by the Children’s Oncology Group. Descriptive and bivariate statistics were used to compare admission characteristics and outcomes. Comparing respiratory seasons, the Covid-era season had 60% fewer URI diagnoses (5/12), while high-risk episodes (63.6% [28/44] vs. 44.2% [23/52]) and intensive care admissions (18.2% [8/44] vs. 3.8% [2/52]) increased. Between eras, URIs were lower in the COVID-era (10.8% [16/148] vs. 19.9% [67/336]; <i>p</i> = 0.01), but admission characteristics and severe outcomes were not different. The impact of public health measures was most prominent during the respiratory season. Despite decreased incidence of URIs, the overall admission characteristics and severe outcomes were minimally impacted due to the brevity of respiratory seasons, but larger studies are warranted.
DOI: 10.6084/m9.figshare.20368078
title: Whole genome sequencing and inheritance-based variant filtering as a tool for unraveling missing heritability in pediatric cancer

description: Survival rates for pediatric cancer have significantly increased the past decades, now exceeding 70–80% for most cancer types. The cause of cancer in children and adolescents remains largely unknown and a genetic susceptibility is considered in up to 10% of the cases, but most likely this is an underestimation. Families with multiple pediatric cancer patients are rare and strongly suggestive for an underlying predisposition to cancer. The absence of identifiable mutations in known cancer predisposing genes in such families could indicate undiscovered heritability. To discover candidate susceptibility variants, whole genome sequencing was performed on germline DNA of a family with two children affected by Burkitt lymphoma. Using an inheritance-based filtering approach, 18 correctly segregating coding variants were prioritized without a biased focus on specific genes or variants. Two variants in <i>FAT4</i> and <i>DCHS2</i> were highlighted, both involved in the Hippo signaling pathway, which controls tissue growth and stem cell activity. Similarly, a set of nine non-coding variants was prioritized, which might contribute, in differing degrees, to the increased cancer risk within this family. In conclusion, inheritance-based whole genome sequencing in selected families or cases is a valuable approach to prioritize variants and, thus, to further unravel genetic predisposition in childhood cancer.
DOI: 10.6084/m9.figshare.20368078.v1
title: Whole genome sequencing and inheritance-based variant filtering as a tool for unraveling missing heritability in pediatric cancer

description: Survival rates for pediatric cancer have significantly increased the past decades, now exceeding 70–80% for most cancer types. The cause of cancer in children and adolescents remains largely unknown and a genetic susceptibility is considered in up to 10% of the cases, but most likely this is an underestimation. Families with multiple pediatric cancer patients are rare and strongly suggestive for an underlying predisposition to cancer. The absence of identifiable mutations in known cancer predisposing genes in such families could indicate undiscovered heritability. To discover candidate susceptibility variants, whole genome sequencing was performed on germline DNA of a family with two children affected by Burkitt lymphoma. Using an inheritance-based filtering approach, 18 correctly segregating coding variants were prioritized without a biased focus on specific genes or variants. Two variants in <i>FAT4</i> and <i>DCHS2</i> were highlighted, both involved in the Hippo signaling pathway, which controls tissue growth and stem cell activity. Similarly, a set of nine non-coding variants was prioritized, which might contribute, in differing degrees, to the increased cancer risk within this family. In conclusion, inheritance-based whole genome sequencing in selected families or cases is a valuable approach to prioritize variants and, thus, to further unravel genetic predisposition in childhood cancer.