cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5082373
title: A simple point of care test can indicate the need for periodontal therapy to reduce the risk for adverse pregnancy outcomes in mothers attending antenatal clinics

description: <b>Introduction:</b> Although the association between periodontal disease (PD) and adverse pregnancy outcomes has gained recognition amongst antenatal healthcare workers, not much has changed in practice to address it. This prospective study tested the hypothesis that BANA (N-benzoyl-DL-arginine-2-naphthylamide), a diagnostic test for PD, may inform obstetricians and other antenatal healthcare practitioners, of the risk of adverse pregnancy outcomes in mothers attending antenatal clinics. <b>Methods:</b> At first visit, the presence of suspected periodontopathogens was assessed by BANA testing of dental plaque from 443 mothers attending antenatal clinics in KwaZulu-Natal, South Africa and an association later sought with pregnancy outcomes. The accuracy of BANA to predict adverse pregnancy outcomes was evaluated by the calculation of likelihood ratios. The study complied with the Declaration of Helsinki. <b>Results:</b> Significant differences were found between pregnancy outcomes of BANA-negative and BANA-positive mothers (<i>p</i> <b>Conclusion:</b> This study confirms that BANA may indicate the need for periodontal therapy to reduce the risk of adverse pregnancy outcomes and could form part of the routine antenatal examination.
DOI: 10.6084/m9.figshare.5082373.v1
title: A simple point of care test can indicate the need for periodontal therapy to reduce the risk for adverse pregnancy outcomes in mothers attending antenatal clinics

description: <b>Introduction:</b> Although the association between periodontal disease (PD) and adverse pregnancy outcomes has gained recognition amongst antenatal healthcare workers, not much has changed in practice to address it. This prospective study tested the hypothesis that BANA (N-benzoyl-DL-arginine-2-naphthylamide), a diagnostic test for PD, may inform obstetricians and other antenatal healthcare practitioners, of the risk of adverse pregnancy outcomes in mothers attending antenatal clinics. <b>Methods:</b> At first visit, the presence of suspected periodontopathogens was assessed by BANA testing of dental plaque from 443 mothers attending antenatal clinics in KwaZulu-Natal, South Africa and an association later sought with pregnancy outcomes. The accuracy of BANA to predict adverse pregnancy outcomes was evaluated by the calculation of likelihood ratios. The study complied with the Declaration of Helsinki. <b>Results:</b> Significant differences were found between pregnancy outcomes of BANA-negative and BANA-positive mothers (<i>p</i> <b>Conclusion:</b> This study confirms that BANA may indicate the need for periodontal therapy to reduce the risk of adverse pregnancy outcomes and could form part of the routine antenatal examination.
DOI: 10.6084/m9.figshare.5091865.v1
title: The adipokine tartrate-resistant acid phosphatase 5a in serum correlates to adipose tissue expansion in obesity

description: <b>Purpose:</b> Tartrate-resistant acid phosphatase (TRAP) exists as two isoforms, 5a and 5b. TRAP 5a is elevated in adipose tissue of obese women, interacts with pre-adipocytes and is linked to insulin-sensitive hyperplastic obesity when overexpressed in mice. The aim of this study was to investigate the relation between serum TRAP 5a, adiposity indices and metabolic syndrome risk markers in lean and obese women, using a newly developed TRAP 5a-specific ELISA. <b>Materials and methods:</b> A TRAP 5a sandwich ELISA was optimized using TRAP 5a-specific monoclonal antibodies and tested in sera of healthy males. TRAP 5a levels were quantitated in sera from healthy males and lean and obese women. <b>Results:</b> Serum TRAP 5a protein levels were lower in obese women in comparison with lean. In obese, but not in lean women, serum TRAP 5a correlated positively to % fat mass, BMI, waist- and hip circumference, waist-to-hip ratio and PAI, while no correlations to serum leptin, HOMA, glucose, insulin, FFA, HDL, TG, APO-A1 and APO-B were observed. <b>Conclusions:</b> TRAP 5a serum levels correlated positively to anthropometric obesity parameters but not to metabolic syndrome risk factors, indicating that serum TRAP 5a is associated with pathological adipose tissue expansion.
DOI: 10.6084/m9.figshare.1545582.v2
title: Code MRes Neurotechnology

description: All the code from python code to generate SUS, to script generating stimuli and stimuli presentaion in Matlab with Psychtoolbox, including my staircase procedure , is included here. This code has been used in the MRes project about EEG analysis to study speech comprehension. /!\ The code, especially related to the experiment, is not in any case in a distribuable version !! For further info please contact hugo.weissbart12@imperial.ac.uk The project is based on Ghitza (2009) exeperiment.
DOI: 10.6084/m9.figshare.1545593.v3
title: Pulsations in Solar Flares

description: Poster presented at the Hinode 9 conference at Queens University Belfast. An investigation of quasi-periodic pulsations in a solar flare by performing a multi-instruments study.
DOI: 10.6084/m9.figshare.1545565
title: 21 traits by 86 species in eastern Ionian fisheries

description: This file contains traits data for 86 species appearing in the catches of the multi-species fisheries in the eastern Ionian Sea. There are data on 21 traits; for each trait, 2-6 trait categories/modalities exist and each species can only belong to one modality per trait. The excel file has 3 worksheets: (1) The first worksheet is a presence/absence (1/0) matrix of 86 species by 73 traits categories (or modalities). (2) The second worksheet is a matrix of the same 86 species by 21 traits with one or more numbers representing a reference. (3) The third worksheet is a list of reference numbers and the corresponding references.
DOI: 10.5281/zenodo.4015234
title: A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

description: There is an increasing demand for sentiment analysis of text from social media which are mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the complexity of mixing at different levels of the text. However, very few resources are available for code-mixed data to create models specific for this data. Although much research in multilingual and cross-lingual sentiment analysis has used semi-supervised or unsupervised methods, supervised methods still performs better. Only a few datasets for popular languages such as English-Spanish, English-Hindi, and English-Chinese are available. There are no resources available for Malayalam-English code-mixed data. This paper presents a new gold standard corpus for sentiment analysis of code-mixed text in Malayalam-English annotated by voluntary annotators. This gold standard corpus obtained a Krippendorff’s alpha above 0.8 for the dataset. We use this new corpus to provide the benchmark for sentiment analysis in Malayalam-English code-mixed texts.
description: https://www.aclweb.org/anthology/2020.sltu-1.25/
DOI: 10.6084/m9.figshare.1545562
title: Longbow: A Lightweight Remote Job Submission Tool

description: We present Longbow, a lightweight console-based remote job submission tool and library. Longbow allows the user to quickly and simply run jobs on high performance computing facilities without leaving their familiar desktop environment. Not only does Longbow greatly simplify the management of compute-intensive jobs for experienced researchers, it also lowers the technical barriers surrounding high performance computation for the next generation of scientists and engineers. Longbow has already been used to remotely submit jobs in a number of projects and has the potential to redefine the manner in which high performance computers are used. Longbow can be installed by executing: pip install longbow The code is also contained within Longbow.zip however. In LongbowHosts.zip is an example hosts configuration file which provides the details Longbow needs of the remote resource on which the job will run. Example molecular dynamics jobs including input files are in LongbowExamples.zip. For full details on how to install and use Longbow see the documentation at http://www.hecbiosim.ac.uk/wikis/index.php/Longbow
DOI: 10.6084/m9.figshare.1545582.v1
title: Code MRes Neurotechnology

description: All the code from python code to generate SUS, to script generating stimuli and stimuli presentaion in Matlab with Psychtoolbox, including my staircase procedure , is included here. This code has been used in the MRes project about EEG analysis to study speech comprehension. The project is based on Ghitza (2009) exeperiment.
DOI: 10.6084/m9.figshare.1545593.v2
title: Pulsations in Solar Flares

description: Poster presented at the Hinode 9 conference at Queens University Belfast. An investigation of quasi-periodic pulsations in a solar flare by performing a multi-instruments study.
DOI: 10.5281/zenodo.4015233
title: A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

description: There is an increasing demand for sentiment analysis of text from social media which are mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the complexity of mixing at different levels of the text. However, very few resources are available for code-mixed data to create models specific for this data. Although much research in multilingual and cross-lingual sentiment analysis has used semi-supervised or unsupervised methods, supervised methods still performs better. Only a few datasets for popular languages such as English-Spanish, English-Hindi, and English-Chinese are available. There are no resources available for Malayalam-English code-mixed data. This paper presents a new gold standard corpus for sentiment analysis of code-mixed text in Malayalam-English annotated by voluntary annotators. This gold standard corpus obtained a Krippendorff’s alpha above 0.8 for the dataset. We use this new corpus to provide the benchmark for sentiment analysis in Malayalam-English code-mixed texts.
description: https://www.aclweb.org/anthology/2020.sltu-1.25/
DOI: 10.6084/m9.figshare.1545552
title: SMRT sequencing of Xanthomonas oryzae genomes reveals a dynamic structure and complex TAL effector gene relationships

description: Supplementary material as published in <em>Microbial Genomics </em>in the following article: 'SMRT sequencing of Xanthomonas oryzae genomes reveals a dynamic structure and complex TAL effector gene relationships' [10.1099/mgen.0.000032]
DOI: 10.6084/m9.figshare.1545562.v1
title: Longbow: A Lightweight Remote Job Submission Tool

description: We present Longbow, a lightweight console-based remote job submission tool and library. Longbow allows the user to quickly and simply run jobs on high performance computing facilities without leaving their familiar desktop environment. Not only does Longbow greatly simplify the management of compute-intensive jobs for experienced researchers, it also lowers the technical barriers surrounding high performance computation for the next generation of scientists and engineers. Longbow has already been used to remotely submit jobs in a number of projects and has the potential to redefine the manner in which high performance computers are used. Longbow can be installed by executing: pip install longbow The code is also contained within Longbow.zip however. In LongbowHosts.zip is an example hosts configuration file which provides the details Longbow needs of the remote resource on which the job will run. Example molecular dynamics jobs including input files are in LongbowExamples.zip. For full details on how to install and use Longbow see the documentation at http://www.hecbiosim.ac.uk/wikis/index.php/Longbow
DOI: 10.6084/m9.figshare.1545551
title: Dataset Individual Data Figure 2 - Context-Dependent Preferences in Starlings

description: Individual data used in Figure 2.
DOI: 10.6084/m9.figshare.1545552.v1
title: SMRT sequencing of Xanthomonas oryzae genomes reveals a dynamic structure and complex TAL effector gene relationships

description: Supplementary material as published in <em>Microbial Genomics </em>in the following article: 'SMRT sequencing of Xanthomonas oryzae genomes reveals a dynamic structure and complex TAL effector gene relationships' [10.1099/mgen.0.000032]
DOI: 10.6084/m9.figshare.1545565.v1
title: 21 traits by 86 species in eastern Ionian fisheries

description: This file contains traits data for 86 species appearing in the catches of the multi-species fisheries in the eastern Ionian Sea. There are data on 21 traits; for each trait, 2-6 trait categories/modalities exist and each species can only belong to one modality per trait. The excel file has 3 worksheets: (1) The first worksheet is a presence/absence (1/0) matrix of 86 species by 73 traits categories (or modalities). (2) The second worksheet is a matrix of the same 86 species by 21 traits with one or more numbers representing a reference. (3) The third worksheet is a list of reference numbers and the corresponding references.
DOI: 10.6084/m9.figshare.1545544
title: Heart rate of long distance runners collected one day before and during three days after a 100 km run

description: The data presents changes in the circulatory system of long distance runners before and just after extreme physical effort. In order to achieve that a group of voluntaries from the Sport Centre of the University of Physical Education and Sport in Gdansk had joined the research programme. They were obligated to take part in regular measurements of their heart rate just after the effort, as well as 24 and 48 hours after.The long distance run covered 100 km on a 3375 m loop with the total altitude difference not greater than 2 m. The run started at 07:20+01 in the morning and lasted for approximately 10 hours. The weather conditions during the run as follows: air temperature 4--5 degrees C, relative air humidity 86% with no wind. The heart rate of all voluntaries measured before the run was around 64--72/min, while just after the run was around 141--158/min.The heart rate of the runners was measured continuously from 12 minutes and thanks to that 450 sample long time series were collected. All heart rate signals were recorded based on the time intervals between successive R-waves of electrocardiographic signals.<br>The data is ordered according to the participants, i.e. each file 1.csv to 13.csv represents a single participant and his measurements gathered during the study. The column "day" indicates the day of the examination. The 1st day of examination took place on 2012-11-16 (one day preceding the extreme physical effort), the 2nd on 2012-11-17 (right after the effort), the 3rd on 2012-11-18 (one day following the effort), and the 4th on 2012-11-19 (two days following the effort). The column "timestamp" indicates the precise time of the examination (hh:mm:ss.sss), whereas the column "HR" contains the heart rate measurements in 1/min.
DOI: 10.6084/m9.figshare.1545549
title: Duffield et al_drivers of prawn innovation

description: Raw data from individual and group tests of innovation in prawns: Duffield, Wilson & Thornton 2015 Plos One
DOI: 10.6084/m9.figshare.1545549.v1
title: Duffield et al_drivers of prawn innovation

description: Raw data from individual and group tests of innovation in prawns: Duffield, Wilson & Thornton 2015 Plos One
DOI: 10.6084/m9.figshare.1545529
title: Characteristics of protons exiting from a polyethylene converter irradiated by neutrons with energies between 1 keV and 10 MeV

description: Figs. 1 to 4, and Figs. 6 to 10
DOI: 10.6084/m9.figshare.1545510
title: Coordinate data - human femur and knee

description: Sample coordinates for use with the CTReconSim macro. Femoral coordinates were obtained from the freely available KESKONRIX Osirix data set (left femur), and derotated (neutrally aligned) according to the criteria described by Olesen (2013). Knee coordinates were obtained from an anonymised knee CT donated by a local orthopaedic centre. The scan was obtained for diagnostic purposes unrelated to this project.
DOI: 10.6084/m9.figshare.1545551.v1
title: Figure 2 Individual data - Context-Dependent Preferences in Starlings

description: Individual data used in Figure 2.
DOI: 10.6084/m9.figshare.1545529.v2
title: Characteristics of protons exiting from a polyethylene converter irradiated by neutrons with energies between 1 keV and 10 MeV

description: Figs. 1 to 4, and Figs. 6 to 10
DOI: 10.6084/m9.figshare.1545544.v1
title: Heart rate of long distance runners

description: The data presents changes in the circulatory system of long distance runners before and just after extreme physical effort. In order to achieve that a group of voluntaries from the Sport Centre of the University of Physical Education and Sport in Gdansk had joined the research programme. They were obligated to take part in regular measurements of their heart rate just after the effort, as well as 24 and 48 hours after.The long distance run covered 100 km on a 3375 m loop with the total altitude difference not greater than 2 m. The run started at 7:20 in the morning and lasted for approximately 10 hours. The weather conditions during the run as follows: air temperature 4--5 degrees C, relative air humidity 86% with no wind. The heart rate of all voluntaries measured before the run was around 64--72/min, while just after the run was around 141--158/min.The heart rate of the runners was measured continuously from 12 minutes and thanks to that 450 sample long time series were collected. All heart rate signals were recorded based on the time intervals between successive R-waves of electrocardiographic signals.<br>The data is ordered according to the participants, i.e. each file 1.dat to 13.dat represents a single participant and his measurements gathered during the study. The column "day" indicates the day of the examination. The 1st day of examination took place on 16.11.2012 (one day preceding the extreme physical effort), the 2nd on 17.11.2012 (the day of the effort), the 3rd on 18.11.2012 (one day following the effort), the 4th on 19.11.2012 (two days following the effort). The column "timestamp" indicates the precise time of the examination (hh:mm:ss.sss), whereas the column "HR" contains the heart rate measurements in 1/min.
DOI: 10.6084/m9.figshare.1545551.v3
title: Dataset Individual Data Figure 2 - Context-Dependent Preferences in Starlings

description: Individual data used in Figure 2.
DOI: 10.6084/m9.figshare.1545529.v1
title: Characteristics of protons exiting from a polyethylene converter irradiated by neutrons with energies between 1 keV and 10 MeV

description: Figs. 1 to 4, and Figs. 6 to 10
DOI: 10.6084/m9.figshare.1545551.v2
title: DataSet Individual Data Figure 2 - Context-Dependent Preferences in Starlings

description: Individual data used in Figure 2.
DOI: 10.6084/m9.figshare.1545419
title: Lum 118-02 Lab Gender and Eye Color Survey

description: The information was recorded at york university, Lumber's Building room 118, on Tuesday September 15th, 2015 at roughly 2:00pm, 4 group members surveyed 21 ecology students, observing and recording the gender and eye color of all individuals
DOI: 10.6084/m9.figshare.1545466
title: Lab 1- Comparison between gender and eye colour

description: Introductory lab for BIOL 2050 lab 07 for group 3
DOI: 10.6084/m9.figshare.1545467
title: Gender and Eye colour data

description: This lab was done on Tuesday, September 15, 2015, in the Lumbers building room 118. This data set looks at the different variables of gender and eye colour. The data was collected from the 21 individuals in the lab room, through observation and questioning. Group members are Katie, Katherine and Adam.
DOI: 10.6084/m9.figshare.1545544.v2
title: Heart rate of long distance runners

description: The data presents changes in the circulatory system of long distance runners before and just after extreme physical effort. In order to achieve that a group of voluntaries from the Sport Centre of the University of Physical Education and Sport in Gdansk had joined the research programme. They were obligated to take part in regular measurements of their heart rate just after the effort, as well as 24 and 48 hours after.The long distance run covered 100 km on a 3375 m loop with the total altitude difference not greater than 2 m. The run started at 07:20+01 in the morning and lasted for approximately 10 hours. The weather conditions during the run as follows: air temperature 4--5 degrees C, relative air humidity 86% with no wind. The heart rate of all voluntaries measured before the run was around 64--72/min, while just after the run was around 141--158/min.The heart rate of the runners was measured continuously from 12 minutes and thanks to that 450 sample long time series were collected. All heart rate signals were recorded based on the time intervals between successive R-waves of electrocardiographic signals.<br>The data is ordered according to the participants, i.e. each file 1.csv to 13.csv represents a single participant and his measurements gathered during the study. The column "day" indicates the day of the examination. The 1st day of examination took place on 2012-11-16 (one day preceding the extreme physical effort), the 2nd on 2012-11-17 (right after the effort), the 3rd on 2012-11-18 (one day following the effort), and the 4th on 2012-11-19 (two days following the effort). The column "timestamp" indicates the precise time of the examination (hh:mm:ss.sss), whereas the column "HR" contains the heart rate measurements in 1/min.
DOI: 10.6084/m9.figshare.1545006
title: Survey of Gender vs Eye Colour

description: This survey was conducted on September 15, 2015 in Lumbers 118 at the York University Keele Campus in collaboration with Naduni, Bryson and Stanley. The purpose of this survey is to find the relationship between gender and eye colour. The method to collecting the data was found by verbally asking each individual in the population consisting of 20 students and 1 TA and taking their word of what their eye colour and gender was. The tested variables are categorical variables.
DOI: 10.6084/m9.figshare.1545419.v1
title: Lum 118-02 Lab Gender and Eye Color Survey

description: The information was recorded at york university, Lumber's Building room 118, on Tuesday September 15th, 2015 at roughly 2:00pm, 4 group members surveyed 21 ecology students, observing and recording the gender and eye color of all individuals
DOI: 10.6084/m9.figshare.1544876
title: Biol2050 Lab 1

description: This Study conducted at York University, Keele campus on Sept. 15, 2015. Observations on gender, eyecolour and hairline (widow's peak vs straight line). both physical observation and verbal communication was used with the 14 various subjects.
DOI: 10.6084/m9.figshare.1544761
title: Introductory lab: Data of gender, hairline, and eye colour

description: Data collection of gender, hairline type, and eye colour of 14 individuals conducted by myself, S. Govinda, S. Lam, and A. Riyat. Methods used to collect data included verbal exchanges or observations. All data was collected from York University Lumbers building in room 117 on September 15,2015.
DOI: 10.6084/m9.figshare.1544811
title: Conservation Planning for Coral Reefs Accounting for Climate Warming Disturbances

description: Underlying data associated with the project "Conservation Planning for Coral Reefs Accounting for Climate Warming Disturbances"
DOI: 10.6084/m9.figshare.1545006.v1
title: Survey of Gender vs Eye Colour

description: This survey was conducted on September 15, 2015 in Lumbers 118 at the York University Keele Campus in collaboration with Naduni, Bryson and Stanley. The purpose of this survey is to find the relationship between gender and eye colour. The method to collecting the data was found by verbally asking each individual in the population consisting of 20 students and 1 TA and taking their word of what their eye colour and gender was. The tested variables are categorical variables.