cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6795272
title: Factors Associated with Willingness to Enter Long-term Care Facilities among Older Adults in Chengdu, China

description: The study was approved by the Sichuan University Institutional Review Board. All participants read a statement that explained the purpose of the survey and written informed consents have been received before being involved in the investigation.This cross-sectional study was conducted in the Hezuo community, one of six sub-districts within a recently developed urban district in Chengdu, Sichuan from January to March in 2016. There were a total of 8884 older people (aged 60 and above) in this community as of December 2015. A sample of 670 older people was randomly drawn from the community older adult population using computer “random numbers” generator. MeasuresThe in-person interview questionnaire contains measures on socio-demographics, willingness to enter long-term care facilities, general wellbeing index, and social support.<i> </i>We collected the following information: age, gender, marital status, education, occupation, income (monthly household income per capita), insurance, living condition, being sick in the two weeks before the survey, number and type of chronic diseases, and any hospitalization in the prior year.The interviewer first defined long-term care facilities as institutions that integrate medical and social services in senior care facilities. Second, the interviewer asked whether the respondents are aware of the concept. For those who were not aware, explanations were made to inform them. Respondents were then asked: “Are you willing to enter into one of these facilities to receive integrated medical and social services in the future?” If the answer is “Yes”, additional questions were asked regarding: the most important aspect of choosing a long-term care facility, expectation of travel distance from one’s home to the facility, expectation of monthly costs of the services, expectations of the caregivers, medical staff, services, and quality provided, family support of such care arrangement.<i> </i>The WHO-5 items were used to describe the general wellbeing of the respondents about their rating of five statements considering the last 14 days.The Social Support Rating Scale (SSRS) assesses the level of overall social support that each subject received. All survey data were entered into EpiData 3.0. Statistical analyses were carried out using the IBM SPSS version 21.0. We used Pearson’s χ2 to examine differences in categorical variables. Multivariate logistic regression was used to examine the relationship between the independent variables.
DOI: 10.6084/m9.figshare.6795272.v1
title: Factors Associated with Willingness to Enter Long-term Care Facilities among Older Adults in Chengdu, China

description: The study was approved by the Sichuan University Institutional Review Board. All participants read a statement that explained the purpose of the survey and written informed consents have been received before being involved in the investigation.This cross-sectional study was conducted in the Hezuo community, one of six sub-districts within a recently developed urban district in Chengdu, Sichuan from January to March in 2016. There were a total of 8884 older people (aged 60 and above) in this community as of December 2015. A sample of 670 older people was randomly drawn from the community older adult population using computer “random numbers” generator. MeasuresThe in-person interview questionnaire contains measures on socio-demographics, willingness to enter long-term care facilities, general wellbeing index, and social support.<i> </i>We collected the following information: age, gender, marital status, education, occupation, income (monthly household income per capita), insurance, living condition, being sick in the two weeks before the survey, number and type of chronic diseases, and any hospitalization in the prior year.The interviewer first defined long-term care facilities as institutions that integrate medical and social services in senior care facilities. Second, the interviewer asked whether the respondents are aware of the concept. For those who were not aware, explanations were made to inform them. Respondents were then asked: “Are you willing to enter into one of these facilities to receive integrated medical and social services in the future?” If the answer is “Yes”, additional questions were asked regarding: the most important aspect of choosing a long-term care facility, expectation of travel distance from one’s home to the facility, expectation of monthly costs of the services, expectations of the caregivers, medical staff, services, and quality provided, family support of such care arrangement.<i> </i>The WHO-5 items were used to describe the general wellbeing of the respondents about their rating of five statements considering the last 14 days.The Social Support Rating Scale (SSRS) assesses the level of overall social support that each subject received. All survey data were entered into EpiData 3.0. Statistical analyses were carried out using the IBM SPSS version 21.0. We used Pearson’s χ2 to examine differences in categorical variables. Multivariate logistic regression was used to examine the relationship between the independent variables.
DOI: 10.6084/m9.figshare.6795245
title: Blood plasma lipidomics peak area data from 123 pediatric patients diagnosed with type 1 diabetes mellitus generated by targeted mass spectrometry

description: This dataset consists of a single Excel <b>xlsx</b> file containing peak area data for 353 lipid species identified by targeted mass spectrometry from 123 children and adolescents diagnosed with type 1 diabetes mellitus.<br>Individuals studied herein were participants in the Danish Remission Phase Study, a long-term observational study conducted in four Danish pediatric departments. All participants were aged under 17 years old and had been diagnosed with type 1 diabetes mellitus. Plasma samples from 1, 3, 6, 12 and, for a sub-population (n=37) 60 months post-onset were analysed.<br>Lipid extractions from the plasma samples were analysed using an Agilent 1290 liquid chromatography system coupled to an Agilent 6490 triple quadrapole mass spectrometer using scheduled multiple reaction monitoring in positive ion mode.<br>This dataset contains raw peak area data for 353 lipid species across 25 classes. These classes and their abbreviations as used in the dataset are as follows:<br>* cholesteryl ester (CE),* ceramide (Cer),* free cholesterol (COH),* diacylglycerol (DG),* dihexosylceramide (DHC),* dihydroceramide (dhCer),* GM3 ganglioside (GM3),* lysophosphatidylcholine (LPC),* monohexosylceramide (MHC),* oxidized phosphatidylcholine (OxPC),* phosphatidylcholine (PC),* alkylphosphatidylcholine (PC(O)),* alkenylphosphatidylcholine (plasmalogen, PC(P)),* phosphatidylethanolamine (PE),* alkylphosphatidylethanolamine (PE(O)),* phosphatidylethanolamine plasmalogen (PE(P)),* phosphatidylglycerol (PG),* phosphatidylinositol (PI),* phosphatidylserine (PS),* sphingomyelin (SM),* triacylglycerol (TG),* trihexosylceramide (THC)<br>QC results and internal standards are also included.<br>Further analysis and explanation of these data are presented in the accompanying manuscript.<br>
DOI: 10.6084/m9.figshare.6795164
title: SealDietData_KKliskaJuly2018.csv

description: <b>Australian for seal data used for the publication " </b><b> </b><b> </b><b>Environmental correlates of temporal variation in the diet of Australian fur seals <i>Arctocephalus pusillus doriferus"</i></b>
DOI: 10.6084/m9.figshare.6795101
title: A new continuous distribution on the unit interval applied to modelling the points ratio of football teams

description: We introduce a new flexible distribution to deal with variables on the unit interval based on a transformation of the sinh–arcsinh distribution, which accommodates different degrees of skewness and kurtosis and becomes an interesting alternative to model this type of data. We also include this new distribution into the generalised additive models for location, scale and shape (GAMLSS) framework in order to develop and fit its regression model. For different parameter settings, some simulations are performed to investigate the behaviour of the estimators. The potentiality of the new regression model is illustrated by means of a real dataset related to the points rate of football teams at the end of a championship from the four most important leagues in the world: Barclays Premier League (England), Bundesliga (Germany), Serie A (Italy) and BBVA league (Spain) during three seasons (2011–2012, 2012–2013 and 2013–2014).
DOI: 10.6084/m9.figshare.6795245.v1
title: Blood plasma lipidomics peak area data from 123 pediatric patients diagnosed with type 1 diabetes mellitus generated by targeted mass spectrometry

description: This dataset consists of a single Excel <b>xlsx</b> file containing peak area data for 353 lipid species identified by targeted mass spectrometry from 123 children and adolescents diagnosed with type 1 diabetes mellitus.<br>Individuals studied herein were participants in the Danish Remission Phase Study, a long-term observational study conducted in four Danish pediatric departments. All participants were aged under 17 years old and had been diagnosed with type 1 diabetes mellitus. Plasma samples from 1, 3, 6, 12 and, for a sub-population (n=37) 60 months post-onset were analysed.<br>Lipid extractions from the plasma samples were analysed using an Agilent 1290 liquid chromatography system coupled to an Agilent 6490 triple quadrapole mass spectrometer using scheduled multiple reaction monitoring in positive ion mode.<br>This dataset contains raw peak area data for 353 lipid species across 25 classes. These classes and their abbreviations as used in the dataset are as follows:<br>* cholesteryl ester (CE),* ceramide (Cer),* free cholesterol (COH),* diacylglycerol (DG),* dihexosylceramide (DHC),* dihydroceramide (dhCer),* GM3 ganglioside (GM3),* lysophosphatidylcholine (LPC),* monohexosylceramide (MHC),* oxidized phosphatidylcholine (OxPC),* phosphatidylcholine (PC),* alkylphosphatidylcholine (PC(O)),* alkenylphosphatidylcholine (plasmalogen, PC(P)),* phosphatidylethanolamine (PE),* alkylphosphatidylethanolamine (PE(O)),* phosphatidylethanolamine plasmalogen (PE(P)),* phosphatidylglycerol (PG),* phosphatidylinositol (PI),* phosphatidylserine (PS),* sphingomyelin (SM),* triacylglycerol (TG),* trihexosylceramide (THC)<br>QC results and internal standards are also included.<br>Further analysis and explanation of these data are presented in the accompanying manuscript.<br>
DOI: 10.6084/m9.figshare.6795098
title: fig3

description: PDDF for various multifractal models.
DOI: 10.6084/m9.figshare.6795098.v1
title: fig3

description: PDDF for various multifractal models.
DOI: 10.6084/m9.figshare.6795101.v1
title: A new continuous distribution on the unit interval applied to modelling the points ratio of football teams

description: We introduce a new flexible distribution to deal with variables on the unit interval based on a transformation of the sinh–arcsinh distribution, which accommodates different degrees of skewness and kurtosis and becomes an interesting alternative to model this type of data. We also include this new distribution into the generalised additive models for location, scale and shape (GAMLSS) framework in order to develop and fit its regression model. For different parameter settings, some simulations are performed to investigate the behaviour of the estimators. The potentiality of the new regression model is illustrated by means of a real dataset related to the points rate of football teams at the end of a championship from the four most important leagues in the world: Barclays Premier League (England), Bundesliga (Germany), Serie A (Italy) and BBVA league (Spain) during three seasons (2011–2012, 2012–2013 and 2013–2014).
DOI: 10.6084/m9.figshare.6795074
title: Dataset for: Lipopolysaccharide-induced inflammation does not alter muscle spindle afferent mechanosensation or sensory integration in the spinal cord of adult mice

description: Inflammation is known to alter nervous system function, but its effect on muscle spindle afferent mechanosensation and sensory integration in the spinal cord has not been well studied. We tested the hypothesis that systemic inflammation induced by an intraperitoneal injection of the endotoxin lipopolysaccharide (LPS; 7.5 x 105 endotoxin units/kg 18 hrs before experiment) would alter muscle spindle afferent mechanosensation and spinal cord excitability to Group Ia input in male and female adult C57Bl/6 mice. LPS injection caused a systemic immune response, evidenced by decreased white blood cell, monocyte, and lymphocyte concentrations in the blood, increased blood granulocyte concentration, and body weight loss. The immune response in both sexes was qualitatively similar. We used an in vitro muscle-nerve preparation to assay muscle spindle afferent response to stretch and vibration. LPS injection did not significantly change the response to stretch or vibration, with the exception of small decreases in the ability to entrain to high frequency vibration in male mice. Similarly, LPS injection did not alter spinal cord excitability to Group Ia muscle spindle afferent input as measured by the Hoffman’s reflex test in anesthetized mice (100 mg/kg ketamine, 10 mg/kg xylazine). Specifically, there were no changes in M or H wave latencies nor in the percentage of motor neurons excited by electrical afferent stimulation (Hmax/Mmax). Overall, we found no major alterations in muscle proprioceptor function or sensory integration following exposure to LPS at a dose and time course that causes changes in nociceptor function and central processing.
DOI: 10.6084/m9.figshare.6795074.v1
title: Dataset for: Lipopolysaccharide-induced inflammation does not alter muscle spindle afferent mechanosensation or sensory integration in the spinal cord of adult mice

description: Inflammation is known to alter nervous system function, but its effect on muscle spindle afferent mechanosensation and sensory integration in the spinal cord has not been well studied. We tested the hypothesis that systemic inflammation induced by an intraperitoneal injection of the endotoxin lipopolysaccharide (LPS; 7.5 x 105 endotoxin units/kg 18 hrs before experiment) would alter muscle spindle afferent mechanosensation and spinal cord excitability to Group Ia input in male and female adult C57Bl/6 mice. LPS injection caused a systemic immune response, evidenced by decreased white blood cell, monocyte, and lymphocyte concentrations in the blood, increased blood granulocyte concentration, and body weight loss. The immune response in both sexes was qualitatively similar. We used an in vitro muscle-nerve preparation to assay muscle spindle afferent response to stretch and vibration. LPS injection did not significantly change the response to stretch or vibration, with the exception of small decreases in the ability to entrain to high frequency vibration in male mice. Similarly, LPS injection did not alter spinal cord excitability to Group Ia muscle spindle afferent input as measured by the Hoffman’s reflex test in anesthetized mice (100 mg/kg ketamine, 10 mg/kg xylazine). Specifically, there were no changes in M or H wave latencies nor in the percentage of motor neurons excited by electrical afferent stimulation (Hmax/Mmax). Overall, we found no major alterations in muscle proprioceptor function or sensory integration following exposure to LPS at a dose and time course that causes changes in nociceptor function and central processing.
DOI: 10.6084/m9.figshare.6795068
title: Joint Estimation - Radio Science

description: dataset for figures 3-9 in the paper
DOI: 10.6084/m9.figshare.6795056
title: Goat intake values

description: This files contains the information about the intake rate of the goats. <br>The variable food contains information about the food density at the start of the experiment.Each other columns corresponds to the values of for the different goats used (first line is the name of the goat).<br>
DOI: 10.6084/m9.figshare.6795056.v1
title: Goat intake values

description: This files contains the information about the intake rate of the goats. <br>The variable food contains information about the food density at the start of the experiment.Each other columns corresponds to the values of for the different goats used (first line is the name of the goat).<br>
DOI: 10.6084/m9.figshare.6795044
title: Individual characteristics

description: This files contains information about characteristics of the goats. Variables are;goat identitygoat weight (kg)<br>goat dominance statusgoat incisors arcade width (mm)<br>remarks<br><br>
DOI: 10.6084/m9.figshare.6795068.v1
title: Joint Estimation - Radio Science

description: dataset for figures 3-9 in the paper
DOI: 10.6084/m9.figshare.6795044.v1
title: Individual characteristics

description: This files contains information about characteristics of the goats. Variables are;goat identitygoat weight (kg)<br>goat dominance statusgoat incisors arcade width (mm)<br>remarks<br><br>
DOI: 10.6084/m9.figshare.6795068.v3
title: Joint Estimation - Radio Science

description: dataset for figures 3-9 in the paper
DOI: 10.6084/m9.figshare.6795068.v2
title: Joint Estimation - Radio Science

description: dataset for figures 3-9 in the paper
DOI: 10.6084/m9.figshare.6794939
title: PromoterPredict: sequence-based modelling of promoter strength: supplementary information

description: 1. FIMO results for -35 and -10 regions (2 files)<br>2. Random promoter sequences and results (Folder)<br>
DOI: 10.6084/m9.figshare.6794585
title: Green microalgae in marine coastal waters: The Ocean Sampling Day (OSD) dataset - Supplementary material

description: Supplementary material to paper published in Scientific Reports. See the pdf file for the description of the supplementary data files.
DOI: 10.6084/m9.figshare.6794585.v1
title: Green microalgae in marine coastal waters: The Ocean Sampling Day (OSD) dataset - Supplementary material

description: Supplementary material to paper submitted to Scientific Reports.
DOI: 10.6084/m9.figshare.6794585.v2
title: Green microalgae in marine coastal waters: The Ocean Sampling Day (OSD) dataset - Supplementary material

description: Supplementary material to paper submitted to Scientific Reports. See the pdf file for the description of the supplementary data files.
DOI: 10.6084/m9.figshare.6794585.v4
title: Green microalgae in marine coastal waters: The Ocean Sampling Day (OSD) dataset - Supplementary material

description: Supplementary material to paper published in Scientific Reports. See the pdf file for the description of the supplementary data files.
DOI: 10.6084/m9.figshare.6794585.v3
title: Green microalgae in marine coastal waters: The Ocean Sampling Day (OSD) dataset - Supplementary material

description: Supplementary material to paper published in Scientific Reports. See the pdf file for the description of the supplementary data files.
DOI: 10.6084/m9.figshare.6794399
title: Electronic Supplementary Materials Online Resource 1

description: Visual stimuli presented to medaka fish in this behavioral experiment. Movie 1: Vm1_facing left.mp4 Movie 2: Vm2_facing subject.mp4 Movie 3: Vm3_without body_axis_motion.mp4Movie 4: Vm4_without_motion_noise.mp4
DOI: 10.6084/m9.figshare.6794399.v1
title: Electronic Supplementary Materials Online Resource 1

description: Visual stimuli presented to medaka fish in this behavioral experiment. Movie 1: Vm1_facing left.mp4 Movie 2: Vm2_facing subject.mp4 Movie 3: Vm3_without body_axis_motion.mp4Movie 4: Vm4_without_motion_noise.mp4
DOI: 10.6084/m9.figshare.6794231
title: Datasets used in paper "Identification of protein pockets and cavities by Euclidean Distance Transform"

description: <b>Protein-Ligand_dataset_48_structures_bu.tar.gz</b> - Set of 48 protein-ligand complexes used in the study: "Identification of protein pockets and cavities by Euclidean Distance Transform". The archive contains the cleaned PDB files of both bound and unbound protein structures (the unbound structures have already been superimposed on the bound ones). The ligand structures are also provided in separate files. The unbound structures have been renamed using the PDB code of the bound complex with the "_u" suffix.<br><b>PoCavEDT_predictions_pcd.tar.gz</b> - contains the voxelised representation of the inner and outer protein SE surfaces, candidate pockets/cavities and ligand SES surfaces generated by PoCavEDT from the dataset of 48 protein-ligand complexes used.<br><br><b>binaries_and_scripts.tar.gz </b>- PoCavEDT Linux binaries (x64, statically linked) and python scripts used to analyse the results.<br>
DOI: 10.6084/m9.figshare.6794231.v1
title: Datasets used in paper "Identification of protein pockets and cavities by Euclidean Distance Transform"

description: <b>Protein-Ligand_dataset_48_structures_bu.tar.gz</b> - Set of 48 protein-ligand complexes used in the study: "Identification of protein pockets and cavities by Euclidean Distance Transform". The archive contains the cleaned PDB files of both bound and unbound protein structures (the unbound structures have already been superimposed on the bound ones). The ligand structures are also provided in separate files. The unbound structures have been renamed using the PDB code of the bound complex with the "_u" suffix.<br><b>PoCavEDT_predictions_pcd.tar.gz</b> - contains the voxelised representation of the inner and outer protein SE surfaces, candidate pockets/cavities and ligand SES surfaces generated by PoCavEDT from the dataset of 48 protein-ligand complexes used.<br><br><b>binaries_and_scripts.tar.gz </b>- PoCavEDT Linux binaries (x64, statically linked) and python scripts used to analyse the results.<br>
DOI: 10.6084/m9.figshare.6794180
title: oct4.bw

description: chip-seq, tommy
DOI: 10.6084/m9.figshare.6794180.v1
title: oct4.bw

description: chip-seq, tommy
DOI: 10.6084/m9.figshare.6794081
title: Hemingway et al._2018_data.csv

description: We gave frog-eating bats choices between choruses of calling frogs that varied in the number of calling frogs. We found that the relative difference between the number of calling frogs better explained bat preferences for larger chorus sizes.
DOI: 10.6084/m9.figshare.6794081.v1
title: Hemingway et al._2018_data.csv

description: We gave frog-eating bats choices between choruses of calling frogs that varied in the number of calling frogs. We found that the relative difference between the number of calling frogs better explained bat preferences for larger chorus sizes.