cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12027348.v1
title: Effect of physical exercise on cardiometabolic parameters in post-menopause: an integrative review

description: Abstract Objective: To identify the evidence available in literature which relates the practice of physical exercise to improvements in the cardiovascular and metabolic parameters of postmenopausal women. Method: A search was performed of works published between 2008 and 2018 included in the MEDLINE, BDENF, IBCS and LILACS databases. Of the 792 studies identified, 23 met the inclusion criteria. Results: Following analysis, the studies were separated into three categories. In the first category it was observed that physical exercise improved lipid metabolism, reduced abdominal circumference and promoted weight loss. The second category revealed that physical exercise reduced systolic blood pressure, prevented the development of arterial hypertension and reduced the release of sympathomimetic hormones. In the third category the studies indicated that physical exercise elevated the antioxidant mediators and reversed the oxidative stress involved in the inflammatory reactions present in cardiovascular diseases. Conclusion: The studies confirm the beneficial effects of physical exercise on the metabolic and cardiovascular parameters of postmenopausal women.
DOI: 10.6084/m9.figshare.11608869
title: Difficulties of access to health services among non-institutionalized older adults: prevalence and associated factors

description: Abstract Objective: To estimate the prevalence and factors associated with the difficulties of access to health services among non-institutionalized older adults in the town of Montes Claros, Minas Gerais, Brazil. Method: A cross-sectional study nested in a population-based cohort of community-dwelling older adults was carried out in Montes Claros, Minas Gerais, Brazil. Data collection was performed in the homes of the older adults between November 2016 and February 2017. Demographic, socioeconomic, and health-related variables and access to and use of health services were evaluated. Bivariate analyzes (Pearson’s chi-squared test) were conducted, adopting a level of significance lower than 0.20 for inclusion of the independent variables in the multiple model. The final model was generated by Poisson regression analysis, with robust variance, and the variables maintained were associated with difficulty in using the health services up to a level of significance of 0.05 (p&lt;0.05). Results: 394 older adults participated in this study, 33% of whom reported difficulties with access. In multiple analysis, greater difficulty of access was registered among older adults without a partner; who could not read; were frail and had a negative self-perception of health. Older adults face greater difficulties with access when seeking public services. Conclusion: A high perception of difficulty with access was identified, determined by social and physical aspects inherent to aging, and which may be worsened by the characteristics of public services. There is a need for investments in the health care of older adults, in order to guarantee care that promotes healthy aging.
DOI: 10.6084/m9.figshare.11608869.v1
title: Difficulties of access to health services among non-institutionalized older adults: prevalence and associated factors

description: Abstract Objective: To estimate the prevalence and factors associated with the difficulties of access to health services among non-institutionalized older adults in the town of Montes Claros, Minas Gerais, Brazil. Method: A cross-sectional study nested in a population-based cohort of community-dwelling older adults was carried out in Montes Claros, Minas Gerais, Brazil. Data collection was performed in the homes of the older adults between November 2016 and February 2017. Demographic, socioeconomic, and health-related variables and access to and use of health services were evaluated. Bivariate analyzes (Pearson’s chi-squared test) were conducted, adopting a level of significance lower than 0.20 for inclusion of the independent variables in the multiple model. The final model was generated by Poisson regression analysis, with robust variance, and the variables maintained were associated with difficulty in using the health services up to a level of significance of 0.05 (p&lt;0.05). Results: 394 older adults participated in this study, 33% of whom reported difficulties with access. In multiple analysis, greater difficulty of access was registered among older adults without a partner; who could not read; were frail and had a negative self-perception of health. Older adults face greater difficulties with access when seeking public services. Conclusion: A high perception of difficulty with access was identified, determined by social and physical aspects inherent to aging, and which may be worsened by the characteristics of public services. There is a need for investments in the health care of older adults, in order to guarantee care that promotes healthy aging.
DOI: 10.5281/zenodo.6618646
title: Dark Matter Jets of Rotating Black Holes

description: This dataset is associated with "Dark Matter Jets of Rotating Black Holes",<br> Ottavia Balducci, Stefan Hofmann, and Maximilian Koegler<br> (2022) It includes the python 3 files "boost-main.py", "kerrsystem.py" and "KerrSystemPlot.py"<br> which produce the raw data files "r_out_d_table.csv" and "mass_r_out_table.csv"<br> of figures 2 and 3. Additionally, it includes the raw data files "velocity_table.csv" which allows for determining the<br> boundaries of the velocity integrals and "boost_d_a_small.csv" with "boost_d_a_large.csv"<br> which demonstrate that the dark matter jet becomes more collimated for larger black hole spin.
DOI: 10.5281/zenodo.6618645
title: Dark Matter Jets of Rotating Black Holes

description: This dataset is associated with "Dark Matter Jets of Rotating Black Holes",<br> Ottavia Balducci, Stefan Hofmann, and Maximilian Koegler<br> (2022) It includes the python 3 files "boost-main.py", "kerrsystem.py" and "KerrSystemPlot.py"<br> which produce the raw data files "r_out_d_table.csv" and "mass_r_out_table.csv"<br> of figures 2 and 3. Additionally, it includes the raw data files "velocity_table.csv" which allows for determining the<br> boundaries of the velocity integrals and "boost_d_a_small.csv" with "boost_d_a_large.csv"<br> which demonstrate that the dark matter jet becomes more collimated for larger black hole spin.
DOI: 10.5281/zenodo.6342300
title: GSHP: Global database of soil hydraulic properties

description: A total of 15,259 SWCCs from 2,702 sites were assembled from published literature and other sources, standardized, and quality-checked to obtain global database of soil hydraulic properties (GSHP). The GSHP database covers most regions across the globe, with the highest number of curves from North America followed by Africa, Europe, Asia, South America, Australia/Oceania. In addition to SWCCs, other soil variables such as soil texture (12,233 measurements), bulk density (15,125 measurements), and soil organic carbon (2,255 measurements) are also listed in the database. The R code used for this study is available here: https://github.com/ETHZ-repositories/GSHP-database For more details / to cite this dataset please use: Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., and Or, D., (2022): Global soil hydraulic properties database (GSHP): a compilation of soil water characteristics data”. Manuscript accepted to <strong>Scientific Data.</strong> Examples of using the GSHP database to generate van Genuchten parameters maps can be found in 10.5281/zenodo.6343570. <strong>Description of the files</strong>: The datasets in this repository include: <strong>WRC_dataset_surya_et_al_2021_final </strong>provides a global compilation of soil hydraulic properties and the information described in the<strong> Readme_GSHP file</strong>. <strong>Dataset_notebook </strong>shows the graphical representation of the GSHP database. The study was supported by ETH Zurich (Grant ETH-18 18-1).
DOI: 10.5281/zenodo.6348799
title: Global maps of soil water characteristics parameters developed using the random forest in a Covariate-based GeoTransfer Functions (CoGTF) framework at 1 km resolution

description: The global soil water characteristics parameters (<em>α, n, θ<sub>r</sub>, and θ<sub>s</sub></em>) maps based on van Genuchten (vG) model at 1 km resolution was developed by harnessing the technological advances in machine learning and availability of remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. We merge concepts of predictive soil mapping with a large data set of vG parameters and local information (soil, vegetation, climate) into "Covariate-based GeoTransfer Functions'' (CoGTFs) to generate global estimates of vG parameters (to highlight the impact of Geo-referenced covariates including various remote sensing maps, we use the term Geotransfer Function GTF and not pedotransfer function PTF; in the latter case, typically only soil properties are used to predict vG parameters). The vG parameters (<em>α, n, θ<sub>r</sub>, and θ<sub>s</sub></em>) dataset is provided in GeoTIFF format. A total of 16 files that represent different soil depths (0, 30, 60, and 100 cm) are provided for each parameter. Description of vG parameters and their units vG Parameters Description units <em>α</em> Inverse air entry pressure Log<sub>10</sub><em>α (m<sup>-1</sup>)</em> <em>n</em> Shape parameter Log<sub>10</sub><em>n </em>(dimensionless) <em>θ<sub>r</sub></em> Residual water content m<sup>3</sup>/m<sup>3</sup> <em>θ<sub>s</sub></em> Saturated water content m<sup>3</sup>/m<sup>3</sup> The Global vG training dataset used for this study is available here: 10.5281/zenodo.5547338 For more details / to cite this dataset please use: Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., & Or, D. (2022). Global Mapping of Soil Water Characteristics Parameters—Fusing Curated Data with Machine Learning and Environmental Covariates. <strong><em>Remote Sensing</em></strong>, <em>14</em>(8), 1947. The study was supported by ETH Zurich (Grant ETH-18 18-1). We thank Zhongwang Wei, Associate professor at Sun Yat-Sen University, for helping to collect the datasets and for insightful discussions. We would like to thank Andrea Carmintai, Professor at ETH Zurich, for the insightful discussions.
DOI: 10.5281/zenodo.6343570
title: Global maps of soil water characteristics parameters developed using the random forest in a Covariate-based GeoTransfer Functions (CoGTF) framework at 1 km resolution

description: The global soil water characteristics parameters (<em>α, n, θ<sub>r</sub>, and θ<sub>s</sub></em>) maps based on van Genuchten (vG) model at 1 km resolution was developed by harnessing the technological advances in machine learning and availability of remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. We merge concepts of predictive soil mapping with a large data set of vG parameters and local information (soil, vegetation, climate) into "Covariate-based GeoTransfer Functions'' (CoGTFs) to generate global estimates of vG parameters (to highlight the impact of Geo-referenced covariates including various remote sensing maps, we use the term Geotransfer Function GTF and not pedotransfer function PTF; in the latter case, typically only soil properties are used to predict vG parameters). The vG parameters (<em>α, n, θ<sub>r</sub>, and θ<sub>s</sub></em>) dataset is provided in GeoTIFF format. A total of 16 files that represent different soil depths (0, 30, 60, and 100 cm) are provided for each parameter. Description of vG parameters and their units vG Parameters Description units <em>α</em> Inverse air entry pressure Log<sub>10</sub><em>α (m<sup>-1</sup>)</em> <em>n</em> Shape parameter Log<sub>10</sub><em>n </em>(dimensionless) <em>θ<sub>r</sub></em> Residual water content m<sup>3</sup>/m<sup>3</sup> <em>θ<sub>s</sub></em> Saturated water content m<sup>3</sup>/m<sup>3</sup> The Global vG training dataset used for this study is available here: 10.5281/zenodo.5547338 For more details / to cite this dataset please use: Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., & Or, D. (2022). Global Mapping of Soil Water Characteristics Parameters—Fusing Curated Data with Machine Learning and Environmental Covariates. <strong><em>Remote Sensing</em></strong>, <em>14</em>(8), 1947. The study was supported by ETH Zurich (Grant ETH-18 18-1). We thank Zhongwang Wei, Associate professor at Sun Yat-Sen University, for helping to collect the datasets and for insightful discussions. We would like to thank Andrea Carmintai, Professor at ETH Zurich, for the insightful discussions.
DOI: 10.6084/m9.figshare.20010053.v1
title: Noblis FMDV PCR Assays

description: Predicted PCR assays for detection of FMDV including serotypes A, C, O, Asia1, SAT1, SAT2, and SAT3 deverloped at Nobils, Inc. using the BioLaboro pipeline, which includes BioVelocity, Primer 3, and PSET.
DOI: 10.6084/m9.figshare.20010053
title: Noblis FMDV PCR Assays

description: Predicted PCR assays for detection of FMDV including serotypes A, C, O, Asia1, SAT1, SAT2, and SAT3 deverloped at Nobils, Inc. using the BioLaboro pipeline, which includes BioVelocity, Primer 3, and PSET.
DOI: 10.5281/zenodo.6620499
title: High-Resolution TURBINE fMRI Dataset 3

description: Isotropic 0.67 mm visual cortex-slab TURBINE raw dataset 3 (in ISMRMRD format) for "Ultra-High Resolution fMRI at 7T using Radial-Cartesian TURBINE sampling" published in Magnetic Resonance in Medicine.
DOI: 10.5281/zenodo.6620498
title: High-Resolution TURBINE fMRI Dataset 3

description: Isotropic 0.67 mm visual cortex-slab TURBINE raw dataset 3 (in ISMRMRD format) for "Ultra-High Resolution fMRI at 7T using Radial-Cartesian TURBINE sampling" published in Magnetic Resonance in Medicine.
DOI: 10.6084/m9.figshare.20009990
title: Noblis ASFV PCR Assays

description: Predicted PCR assays for detection of ASFV, including genotypes I and II deverloped at Nobils, Inc. using the BioLaboro pipeline, which includes BioVelocity, Primer 3, and PSET.
DOI: 10.6084/m9.figshare.19589878
title: cnetQM

description: Node and edge tables of the citation network regarding quality management papers.
DOI: 10.6084/m9.figshare.19589878.v1
title: cnetQM

description: Node and edge tables of the citation network regarding quality management papers.
DOI: 10.6084/m9.figshare.19589887
title: cnetIN

description: Node and edge tables of the citation network regarding innovation papers.
DOI: 10.6084/m9.figshare.19589893.v1
title: cnetALL

description: Node and edge tables of the citation network regarding innovation and quality management papers.
DOI: 10.6084/m9.figshare.19589893
title: cnetALL

description: Node and edge tables of the citation network regarding innovation and quality management papers.
DOI: 10.6084/m9.figshare.19589896
title: InnovQm

description: This database is a result of a systematic literature review. Geospatial data were added and citation networks were constructed.
DOI: 10.6084/m9.figshare.19589896.v1
title: InnovQm

description: This database is a result of a systematic literature review. Geospatial data were added and citation networks were constructed.
DOI: 10.6084/m9.figshare.19589887.v1
title: cnetIN

description: Node and edge tables of the citation network regarding innovation papers.
DOI: 10.18112/openneuro.ds004147.v1.0.0
title: Average Task Value
DOI: 10.6084/m9.figshare.20017426
title: Validation of the 24-hour physical activity recall in elderly adults

description: The objective of this study was to verify the validity of the 24-hour physical activity recall (R24AF) and to evaluate the number of days required to estimate weekly physical activity using the R24AF in elderly adults. A methodological validation study with a cross-sectional design was carried out. Thirty elderly adults used accelerometers (reference standard) and answered the R24AF by telephone for seven consecutive days. Data were analyzed using the following tests: Pearson's correlation to compare minutes of physical activity between methods; the McNemar test to verify agreement between methods regarding health-oriented physical activity recommendations (≥150 min/week); graphical analysis using the Bland-Altman method; the t-test for dependent samples to detect differences in minutes of physical activity between methods; and the Kappa test to determine the number of days of R24AF use required to estimate weekly physical activity, with the seven days assessed by accelerometers serving as a reference. The correlation coefficient ranged from r=0.38 (p=0.002) to r=0.60 (p&lt;0.001) when comparing minutes of physical activity between methods, according to intensity. At least four days of R24AF use were necessary to obtain an adequate estimate of weekly physical activity (Kappa=0.51, p=0.005), and the estimated prevalence of active elderly was similar with four days' use of the R24AF and seven days' use of accelerometer. The R24AF proved valid for the evaluation of low and moderate physical activity in the elderly and requires at least four days of use (three week days plus one weekend day) to determine the pattern of weekly physical activity in the elderly.
DOI: 10.6084/m9.figshare.20017426.v1
title: Validation of the 24-hour physical activity recall in elderly adults

description: The objective of this study was to verify the validity of the 24-hour physical activity recall (R24AF) and to evaluate the number of days required to estimate weekly physical activity using the R24AF in elderly adults. A methodological validation study with a cross-sectional design was carried out. Thirty elderly adults used accelerometers (reference standard) and answered the R24AF by telephone for seven consecutive days. Data were analyzed using the following tests: Pearson's correlation to compare minutes of physical activity between methods; the McNemar test to verify agreement between methods regarding health-oriented physical activity recommendations (≥150 min/week); graphical analysis using the Bland-Altman method; the t-test for dependent samples to detect differences in minutes of physical activity between methods; and the Kappa test to determine the number of days of R24AF use required to estimate weekly physical activity, with the seven days assessed by accelerometers serving as a reference. The correlation coefficient ranged from r=0.38 (p=0.002) to r=0.60 (p&lt;0.001) when comparing minutes of physical activity between methods, according to intensity. At least four days of R24AF use were necessary to obtain an adequate estimate of weekly physical activity (Kappa=0.51, p=0.005), and the estimated prevalence of active elderly was similar with four days' use of the R24AF and seven days' use of accelerometer. The R24AF proved valid for the evaluation of low and moderate physical activity in the elderly and requires at least four days of use (three week days plus one weekend day) to determine the pattern of weekly physical activity in the elderly.
DOI: 10.6084/m9.figshare.20017429
title: Sleep quality and its associations with leisure-time exercise and excess weight among civil servants

description: The objective of this study was to analyze the association between sleep quality, leisure-time exercise and obesity among university employees. The sample consisted of 92 adults of both genders. Sleep quality and physical activity were assessed by questionnaires. Overweight/obesity was diagnosed based on body mass index, which was calculated from self-reported measures of body weight and height. The prevalence of sleep disorders was 53.84%. An association was observed between obesity (OR = 7.22 [OR95%CI: 1.65-31.5]) and poor sleep quality, and between physical activity and good sleep quality (OR = 0.19 [OR95%CI: 0.04-0.95]), irrespective of other confounders. In conclusion, the results showed a high prevalence of sleep disorders, which were independently associated with physical activity and obesity.
DOI: 10.6084/m9.figshare.20017428
title: Adaptation of the AAHPERD test battery for institutionalized older adults

description: The American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD) test battery assesses the functional fitness of older adults in five motor fitness tests. The objective of this study was to adapt and test the AAHPERD in institutionalized older adults and to define normative values of functional fitness for this population. A pilot test was conducted on older adults living in nursing homes, which confirmed the need to adapt the flexibility and aerobic endurance tests. The first test was redesigned so that the elderly person did not have to sit on the floor. The second test was changed from a half-mile to a 6-minute walk. The tests were adapted and tested in a sample of 92 older adults from six long-term care homes. The successful application of the AAHPERD adapted for older adults living in nursing homes permitted the establishment of normative values for the five motor tests. The adapted version of the AAHPERD is an easily applied, low-cost tool of low risk since it was adapted to the physical and functional conditions of institutionalized older adults. This physical test battery will contribute to the evaluation of older adults and exercise prescription.
DOI: 10.6084/m9.figshare.20017428.v1
title: Adaptation of the AAHPERD test battery for institutionalized older adults

description: The American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD) test battery assesses the functional fitness of older adults in five motor fitness tests. The objective of this study was to adapt and test the AAHPERD in institutionalized older adults and to define normative values of functional fitness for this population. A pilot test was conducted on older adults living in nursing homes, which confirmed the need to adapt the flexibility and aerobic endurance tests. The first test was redesigned so that the elderly person did not have to sit on the floor. The second test was changed from a half-mile to a 6-minute walk. The tests were adapted and tested in a sample of 92 older adults from six long-term care homes. The successful application of the AAHPERD adapted for older adults living in nursing homes permitted the establishment of normative values for the five motor tests. The adapted version of the AAHPERD is an easily applied, low-cost tool of low risk since it was adapted to the physical and functional conditions of institutionalized older adults. This physical test battery will contribute to the evaluation of older adults and exercise prescription.
DOI: 10.6084/m9.figshare.20017429.v1
title: Sleep quality and its associations with leisure-time exercise and excess weight among civil servants

description: The objective of this study was to analyze the association between sleep quality, leisure-time exercise and obesity among university employees. The sample consisted of 92 adults of both genders. Sleep quality and physical activity were assessed by questionnaires. Overweight/obesity was diagnosed based on body mass index, which was calculated from self-reported measures of body weight and height. The prevalence of sleep disorders was 53.84%. An association was observed between obesity (OR = 7.22 [OR95%CI: 1.65-31.5]) and poor sleep quality, and between physical activity and good sleep quality (OR = 0.19 [OR95%CI: 0.04-0.95]), irrespective of other confounders. In conclusion, the results showed a high prevalence of sleep disorders, which were independently associated with physical activity and obesity.