cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8267141
title: Additional file 2: of The impact of skin care products on skin chemistry and microbiome dynamics

description: Table S1. List of personal (T0 and T7â 9) beauty products and their frequency of use. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.8267141.v1
title: Additional file 2: of The impact of skin care products on skin chemistry and microbiome dynamics

description: Table S1. List of personal (T0 and T7â 9) beauty products and their frequency of use. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.8267126
title: Additional file 11: of The impact of skin care products on skin chemistry and microbiome dynamics

description: Table S10. 16S rRNA sequencing read counts per sample. (TSV 2949 kb)
DOI: 10.6084/m9.figshare.8267126.v1
title: Additional file 11: of The impact of skin care products on skin chemistry and microbiome dynamics

description: Table S10. 16S rRNA sequencing read counts per sample. (TSV 2949 kb)
DOI: 10.6084/m9.figshare.8267114
title: Additional file 10: of The impact of skin care products on skin chemistry and microbiome dynamics

description: Table S9. OTU table rarefied to 10,000 sequences per sample. (BIOM 9493 kb)
DOI: 10.6084/m9.figshare.8267114.v1
title: Additional file 10: of The impact of skin care products on skin chemistry and microbiome dynamics

description: Table S9. OTU table rarefied to 10,000 sequences per sample. (BIOM 9493 kb)
DOI: 10.6084/m9.figshare.8267042
title: Anatomical connections underlying personally-familiar face processing

description: The second level analysis allowed the definition of functional activated areas related to the evaluated task. For the core system, functional ROIs were obtained directly from the t-contrast defined as unfamiliar faces &gt; houses what evinced face-selective areas (p&lt;0.05 uncorrected). The extended system ROIs were obtained from the contrast familiar faces &gt; unfamiliar faces which uncover those areas related to familiarity processing (p-value&lt;0.05 uncorrected). This relaxed p-value was used to avoid the dilatation of the ROIs into the white matter to maximize contact with streamlines during tractography. The MarsBaR toolbox (http://marsbar.sourceforge.net/) was used for defining the functional ROIs from these previous contrasts. The resulting regions from the contrasts unfamiliar faces &gt; houses were OFA/FFA (left and right) and STSp (left and right) representing core system, while familiar faces &gt; unfamiliar faces uncovered the mOF/AC, MC, PC, left and right Ins, belonging to the extended system of face processing. The resulting probabilistic tracking among this ROIs is store in .mat files for each subject and for both scanner (Siemens and GE) used in this study, and for the validation data as well (MGH). The matrix order is: CA, CM, CP, Ins_L, Ins_R, OFA_FFA_L, OFA_FFA_R, STSp_L, STSp_R, Vis. For further details refers to the original paper published by PlosOne (insert reference when the paper is published)
DOI: 10.6084/m9.figshare.8267006
title: Supplemental material

description: High-throughput RNA-seq data were generated from pre-diapause and diapause to gain insight into possible mechanisms of obligatory diapause induction.
DOI: 10.6084/m9.figshare.8267015
title: Dataset for: Quantifying how diagnostic test accuracy depends on threshold in a meta-analysis

description: Tests for disease often produce a continuous measure, such as the concentration of some biomarker in a blood sample. In clinical practice, a threshold C is selected such that results, say, greater than C are declared positive, and those less than C negative. Measures of test accuracy such as sensitivity and specificity depend crucially on C, and the optimal value of this threshold is usually a key question for clinical practice. Standard methods for meta-analysis of test accuracy (i) do not provide summary estimates of accuracy at each threshold, precluding selection of the optimal threshold, and further (ii) do not make use of all available data. We describe a multinomial meta-analysis model that can take any number of pairs of sensitivity and specificity from each study and explicitly quantifies how accuracy depends on C. Our model assumes that some pre-specified or Box-Cox transformation of test results in the diseased and disease-free populations has a logistic distribution. The Box-Cox transformation parameter can be estimated from the data, allowing for a flexible range of underlying distributions. We parameterise in terms of the means and scale parameters of the two logistic distributions. In addition to credible intervals for the pooled sensitivity and specificity across all thresholds, we produce prediction intervals, allowing for between-study heterogeneity in all parameters. We demonstrate the model using two case study meta-analyses, examining the accuracy of tests for acute heart failure and pre-eclampsia. We show how the model can be extended to explore reasons for heterogeneity using study-level covariates.
DOI: 10.6084/m9.figshare.8267006.v1
title: Supplemental material

description: High-throughput RNA-seq data were generated from pre-diapause and diapause to gain insight into possible mechanisms of obligatory diapause induction.
DOI: 10.6084/m9.figshare.8267015.v1
title: Dataset for: Quantifying how diagnostic test accuracy depends on threshold in a meta-analysis

description: Tests for disease often produce a continuous measure, such as the concentration of some biomarker in a blood sample. In clinical practice, a threshold C is selected such that results, say, greater than C are declared positive, and those less than C negative. Measures of test accuracy such as sensitivity and specificity depend crucially on C, and the optimal value of this threshold is usually a key question for clinical practice. Standard methods for meta-analysis of test accuracy (i) do not provide summary estimates of accuracy at each threshold, precluding selection of the optimal threshold, and further (ii) do not make use of all available data. We describe a multinomial meta-analysis model that can take any number of pairs of sensitivity and specificity from each study and explicitly quantifies how accuracy depends on C. Our model assumes that some pre-specified or Box-Cox transformation of test results in the diseased and disease-free populations has a logistic distribution. The Box-Cox transformation parameter can be estimated from the data, allowing for a flexible range of underlying distributions. We parameterise in terms of the means and scale parameters of the two logistic distributions. In addition to credible intervals for the pooled sensitivity and specificity across all thresholds, we produce prediction intervals, allowing for between-study heterogeneity in all parameters. We demonstrate the model using two case study meta-analyses, examining the accuracy of tests for acute heart failure and pre-eclampsia. We show how the model can be extended to explore reasons for heterogeneity using study-level covariates.
DOI: 10.6084/m9.figshare.8266994
title: Chisholm et al. Proc B 2019

description: These data are associated with a paper submitted to Proceedings of the Royal Society of London Series B by Chisholm et al.; the manuscript title is "Plant-mediated interactions between a vector and a non-vector herbivore promote the spread of a plant virus"
DOI: 10.6084/m9.figshare.8266985
title: Dataset for: Continuous Time Causal Mediation Analysis

description: While causal mediation analysis has seen considerable recent development for a single measured mediator (M) and final outcome (Y), less attention has been given to repeatedly measured M and Y. Previous methods have typically involved discrete-time models that limit inference to the particular measurement times used, and do not recognize the continuous nature of the mediation process over time. To overcome such limitations, we present a new continuous time approach to causal mediation analysis that uses a differential equations model in a potential outcomes framework to describe the causal relationships among model variables over time. A connection between the differential equations models and standard repeated measures models is made to provide convenient model formulation and fitting. A continuous time extension of the sequential ignorability assumption allows for identifiable natural direct and indirect effects as functions of time, with estimation based on a two-step approach to model fitting in conjunction with a continuous time mediation formula. Novel features include a measure of an overall mediation effect based on the ‘area between the curves’, and an approach for predicting the effects of new interventions. Simulation studies show good properties of estimators and the new methodology is applied to data from a cohort study to investigate sugary drink consumption as a mediator of the effect of socioeconomic status on dental caries in children.
DOI: 10.6084/m9.figshare.8266988
title: HD 97048 ALMA B7 continuum + 13CO

description: ALMA continuum (885microns) and 13CO J=3-2 observations of HD 97048. Data was reduced and self-calibrated. Final spatial resolution is 0.07x0.11" and spectral resolution is 220m/s.ALMA data set ADS/JAO.ALMA#2016.1.00826.S (PI: G. van der Plas)<br>
DOI: 10.6084/m9.figshare.8266985.v1
title: Dataset for: Continuous Time Causal Mediation Analysis

description: While causal mediation analysis has seen considerable recent development for a single measured mediator (M) and final outcome (Y), less attention has been given to repeatedly measured M and Y. Previous methods have typically involved discrete-time models that limit inference to the particular measurement times used, and do not recognize the continuous nature of the mediation process over time. To overcome such limitations, we present a new continuous time approach to causal mediation analysis that uses a differential equations model in a potential outcomes framework to describe the causal relationships among model variables over time. A connection between the differential equations models and standard repeated measures models is made to provide convenient model formulation and fitting. A continuous time extension of the sequential ignorability assumption allows for identifiable natural direct and indirect effects as functions of time, with estimation based on a two-step approach to model fitting in conjunction with a continuous time mediation formula. Novel features include a measure of an overall mediation effect based on the ‘area between the curves’, and an approach for predicting the effects of new interventions. Simulation studies show good properties of estimators and the new methodology is applied to data from a cohort study to investigate sugary drink consumption as a mediator of the effect of socioeconomic status on dental caries in children.
DOI: 10.6084/m9.figshare.8266994.v2
title: Chisholm et al. Proc B 2019

description: These data are associated with a paper submitted to Proceedings of the Royal Society of London Series B by Chisholm et al.; the manuscript title is "Plant-mediated interactions between a vector and a non-vector herbivore promote the spread of a plant virus"
DOI: 10.6084/m9.figshare.8266955
title: Dataset for: Long non-coding RNAs and miRNAs regulating terpene and tartaric acid biosynthesis in rose-scented geranium

description: This study aimed to explore the non-coding RNAs, which have emerged as the key regulatory molecules in versatile biological processes, in rose-scented geranium. We analyzed RNA-seq data revealing 26,784 long non-coding RNAs (lncRNAs), and 871 miRNAs in rose-scented geranium. A total of 466 lncRNAs were annotated using different plant lncRNA public databases. Further, 372 lncRNAs and 99 miRNAs were detected to target terpene and tartarate biosynthetic pathways. An interactome, comprising lncRNAs, miRNAs, and mRNAs, was constructed that represented a non-coding RNA regulatory network of the target mRNAs. RT-qPCR validation was done for selected lncRNAs involved in the regulation of terpene and tartaric acid pathways. This study provides the first insights into the regulatory functioning of non-coding RNAs in rose-scented geranium.
DOI: 10.6084/m9.figshare.8266955.v1
title: Dataset for: Long non-coding RNAs and miRNAs regulating terpene and tartaric acid biosynthesis in rose-scented geranium

description: This study aimed to explore the non-coding RNAs, which have emerged as the key regulatory molecules in versatile biological processes, in rose-scented geranium. We analyzed RNA-seq data revealing 26,784 long non-coding RNAs (lncRNAs), and 871 miRNAs in rose-scented geranium. A total of 466 lncRNAs were annotated using different plant lncRNA public databases. Further, 372 lncRNAs and 99 miRNAs were detected to target terpene and tartarate biosynthetic pathways. An interactome, comprising lncRNAs, miRNAs, and mRNAs, was constructed that represented a non-coding RNA regulatory network of the target mRNAs. RT-qPCR validation was done for selected lncRNAs involved in the regulation of terpene and tartaric acid pathways. This study provides the first insights into the regulatory functioning of non-coding RNAs in rose-scented geranium.
DOI: 10.6084/m9.figshare.8266802
title: Dataset for: When words hurt: Verbal suggestion prevails over conditioning in inducing the motor nocebo effect.

description: Perception and behavior are strongly influenced by the verbal information conveyed by other individuals (e.g., verbal suggestion) and by learning (e.g., conditioning). This influence is well represented by the placebo and nocebo effects, in which positive verbal suggestion associated with positive conditioning induces beneficial outcomes (placebo effect), while the opposite is true for the negative counterpart (nocebo effect). It is still unclear whether verbal suggestion and conditioning exert distinctive roles in influencing perception, behavior and motor system activity when they occur in opposite directions. To this purpose, fifty-three healthy volunteers were assigned to four groups characterized by either congruent or incongruent verbal suggestion and conditioning. Participants were asked to perform a force motor task by pressing a piston as strongly as possible. Transcranial magnetic stimulation over the primary motor cortex was used to record motor evoked potentials (MEP) and cortical silent period (CSP) from the muscle involved in the task. We found that negative verbal suggestion counteracted positive conditioning and induced sense of weakness, effort and force decrements. MEP amplitude was stable, whereas the CSP duration shortened in all the groups throughout the procedure, indicating the involvement of cortical inhibitory circuits, independently of the type of verbal suggestion or conditioning. Our findings highlight a prevalent role of verbal suggestion over conditioning in determining a worsening (nocebo effect) but not an improvement (placebo effect) of motor performance. These results suggest that words associated with treatments should be chosen carefully to avoid negative outcomes, especially in sports and clinical settings.
DOI: 10.6084/m9.figshare.8266775
title: Balance Sheets of Singapore Branch Chartered Mercantile Bank of India, London, and China Legders Dec. 1858-Dec. 1873

description: Organized dataset of selective information from the ledger of Chartered Mercantile Bank of India, London, and China.
DOI: 10.6084/m9.figshare.8266802.v1
title: Dataset for: When words hurt: Verbal suggestion prevails over conditioning in inducing the motor nocebo effect.

description: Perception and behavior are strongly influenced by the verbal information conveyed by other individuals (e.g., verbal suggestion) and by learning (e.g., conditioning). This influence is well represented by the placebo and nocebo effects, in which positive verbal suggestion associated with positive conditioning induces beneficial outcomes (placebo effect), while the opposite is true for the negative counterpart (nocebo effect). It is still unclear whether verbal suggestion and conditioning exert distinctive roles in influencing perception, behavior and motor system activity when they occur in opposite directions. To this purpose, fifty-three healthy volunteers were assigned to four groups characterized by either congruent or incongruent verbal suggestion and conditioning. Participants were asked to perform a force motor task by pressing a piston as strongly as possible. Transcranial magnetic stimulation over the primary motor cortex was used to record motor evoked potentials (MEP) and cortical silent period (CSP) from the muscle involved in the task. We found that negative verbal suggestion counteracted positive conditioning and induced sense of weakness, effort and force decrements. MEP amplitude was stable, whereas the CSP duration shortened in all the groups throughout the procedure, indicating the involvement of cortical inhibitory circuits, independently of the type of verbal suggestion or conditioning. Our findings highlight a prevalent role of verbal suggestion over conditioning in determining a worsening (nocebo effect) but not an improvement (placebo effect) of motor performance. These results suggest that words associated with treatments should be chosen carefully to avoid negative outcomes, especially in sports and clinical settings.
DOI: 10.6084/m9.figshare.8266730
title: Dataset of Ethnic Facial Images of Ecuadorian People

description: This dataset is made up of ethnic facial images of Ecuadorian people. Data could be used in the development of research projects related to ancestrality, detection of face parts and biometrics. Each image has metadata of their respective biometric measurements: eyebrows, eyes, nose and mouth. In addition, this dataset contains information related to: personal data, ethnic characteristics and ancestry. Metadata about the ethnic and biometric facial information were obtained by two techniques: 1. Application of artificial intelligence algorithms: used for the detection, identification and face's biometry for the extraction of anthropometric points of interest. These measurements are stored in a XML file, with the points that the algorithm detected. 2. Surveys: used to obtain personal information, ethnic characteristics, ancestry, ethnic self-denomination, etc. The surveys and image dataset were taken, in the period from April 1 to May 30, 2019. The demographic situation of the main ethnic groups of Ecuador was considered and the sample was taken in the cities of Quito, Guayaquil, Ibarra and Latacunga. The dataset compromises 430 images of people (self-denominated) of the next ethnic groups:• Afro-ecuadorian (50)<br> • European descendant (50) • Indigenous (50) • Mestizo (280) The images have a resolution of 1920x1280 pixels in full color and the scenario that was defined for the capture has the following characteristics: • Background: White • Distance of the individual towards the camera: 1.10 [m] • Brightness: front and side lighting • Posture of the subject: straight with neutral facial expression and free of objects that hinder the face. All people who participated in the project gave their consent for the use of their photography and personal information for academic purposes, which include: scientific journals, presentations and digital academic repositories. About the Files: • The images are distributed in four folders, according to the ethnic group: Afro-ecuadorians, European descendants, Indigenous and Mestizos. • The technical specifications of the camera, used in the construction of this dataset, are described in the file Cam_spec.csv ("Metadata" folder). • Each of the XML files generated by ethnicity are included in the "Metadata" folder. • The answers of the applied survey and the characteristics of the variables are included in the files: Ethnic_facial_characteristics_answers.csv and Variables_characteristics.csv, respectively, within the folder "Metadata".
DOI: 10.6084/m9.figshare.8266730.v1
title: Dataset of Ethnic facial images of Ecuadorian people

description: This dataset is made up of ethnic facial images of Ecuadorian people. Data could be used in the development of research projects related to ancestrality, detection of face parts and biometrics. Each image has metadata of their respective biometric measurements: eyebrows, eyes, nose and mouth. In addition, this dataset contains information related to: personal data, ethnic characteristics and ancestry. Metadata about the ethnic and biometric facial information were obtained by two techniques: 1. Application of artificial intelligence algorithms: used for the detection, identification and face's biometry for the extraction of anthropometric points of interest. These measurements are stored in a XML file, with the points that the algorithm detected. 2. Surveys: used to obtain personal information, ethnic characteristics, ancestry, ethnic self-denomination, etc. The surveys and image dataset were taken, in the period from April 1 to May 30, 2019. The demographic situation of the main ethnic groups of Ecuador was considered and the sample was taken in the cities of Quito, Guayaquil, Ibarra and Latacunga. The dataset compromises 430 images of people (self-denominated) of the next ethnic groups:<br> • Afro-ecuadorian (50) • European descendant (50) • Indigenous (50) • Mestizo (280) The images have a resolution of 1920x1280 pixels in full color and the scenario that was defined for the capture has the following characteristics: • Background: White • Distance of the individual towards the camera: 1.10 [m] • Brightness: front and side lighting • Posture of the subject: straight with neutral facial expression and free of objects that hinder the face. All people who participated in the project gave their consent for the use of their photography and personal information for academic purposes, which include: scientific journals, presentations and digital academic repositories. About the Files: • The images are distributed in four folders, according to the ethnic group: Afro-ecuadorians, European descendants, Indigenous and Mestizos. • The technical specifications of the camera, used in the construction of this dataset, are described in the file Cam_spec.csv ("Metadata" folder). • Each of the XML files generated by ethnicity are included in the "Metadata" folder. • The answers of the applied survey and the characteristics of the variables are included in the files: Ethnic_facial_characteristics_answers.csv and Variables_characteristics.csv, respectively, within the folder "Metadata".