cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jp4dc83rdr.2
title: force-free convected 2-tensors at a moving spheroid

description: We present a comparison of solutions of force-free transported surface 2-tensors q, i.e. D_t(q) = 0, where D_t is the upper-upper, lower-lower, upper-lower and lower-upper convected time derivative. The moving surface is a constantly stretching spheroid along one euclidean axis. The solutions are depicted in an app-like CDF-file, i.e. the Wolfram CDF player is required. This player is free and can be downloaded at https://www.wolfram.com/cdf-player/index.html for all common operating systems. We recommend version 12.0.0.. The solutions are represented in parallelogram-shaped tensor glyphs, where the diagonals representing the eigenvectors with lengths equal eigenvalues, see initial condition at left bottom. To demonstrate that the transported tensors are not aligned with the corresponding transported eigensystem generally, we present also the upper and lower convected eigenvectors times eigenvalue with same tensor glyphs wrt. initial condition. This app is interactive, where we can control the rotational symmetric initial conditions by setting eigenvectors and real-valued eigenvalues, which can be restricted to symmetric and/or trace-free initial tensors. Moreover we can control the time of evaluation, the maximum time and latitude of evaluation. The depiction of the tensor glyphs can be taken place with or without scaling wrt. eigenvalues. To validate the rotational invariance of convected derivatives it is also possible to add a rigid rotation to the spheroid. Note that the initial settings are the same as in the tensor field example in our paper "Observer-invariant time derivatives on moving surfaces".
DOI: 10.17632/nvy6hpy5nk.1
title: Older U.S. Adult Physical Activity

description: To understand the effects of barriers and facilitators of physical activity (PA) in older adults, U.S. participants (N = 667, age range 65-92) were surveyed using online research panels. The importance of fear of falling (FoF) was investigated among other previously identified determinants of PA behaviour. We hypothesised gender and health status to be linked to both threat appraisal (perceived vulnerability and severity) and coping appraisal (self-efficacy and response efficacy) constructs of Protection Motivation Theory. In turn, we expected those components to predict FoF, autonomous motivation, and the intention to be physically active. Further, we expected the latter to be a direct predictor of a change in PA behaviour, with the other constructs being indirect predictors of behaviour. Of the present sample, 19.3% indicated high FoF. Higher perceived vulnerability to falling was related to higher FoF and more perceived severity as well as worse physical health, PA-related self-efficacy, and lower PA-related response efficacy. Further, coping appraisal, intention, and PA behaviour significantly correlated with autonomous motivation to engage in PA. Using structural equation modelling, we found that self-efficacy and response efficacy have a stronger predictive role in older adults’ intention than FoF. However, FoF predicted PA behaviour. The following measures were utilised: • Physical activity - Physical Activity Scale for the Elderly (PASE; Washburn et al., 1993). • Intention - ‘It is likely that I will be regularly physically active.’, ‘I intend to be regularly physically active.’, and ‘I expect to be regularly physically active.’ (Ajzen, 1991; Arnautovska et al., 2017). • Autonomous Motivation - Self-Regulation Questionnaire (Ryan & Connell, 1989). Results were scored in accordance with the Relative Autonomy Index (RAI). • Fear of Falling - Short Falls Efficacy Scale – International (FES-Ia) was used (Kempen et al., 2007). Full scores were utilised in addition to three distinct FoF groups based on cut-off points by Delbaere et al. (2010). • Perceived Severity - ‘Experiencing a fall would be a very bad thing to happen to me’, adapted from Plotnikoff and Higginbotham (2002). • Perceived Vulnerability - ‘My chances of falling are small’, adapted from Plotnikoff and Higginbotham (2002). • Self-Efficacy - Nine items with an 11-point Likert-type rating scale based on Resnick et al. (2000). • Response Efficacy - Four items adapted for falling from Plotnikoff and Higginbotham (2002). • Physical Health Status: Physical Component Summary scale (PCS) of the 12-item Short Form Health Survey (Ware et al., 1996).
DOI: 10.17632/j65f2wd784.2
title: Rasmussen's Encephalitis Retrospective Dataset

description: This file contains retrospective data collected from a single centre. Patients with a diagnosis of Rasmussen's encephalitis were included if they fulfilled the European consensus criteria (2005, Bien et al). Clinical data included age at onset, presentation, seizure characteristics, treatment details and Engel Score outcome. MRI data was generated by visual assessment of MRI characteristics. The research questions were: 1) Does macroscopic extent of radiological pathology and expedited Radiological Stage progression associate with a younger age at onset? 2) Are specific patterns of preferential sparing or involvement present within the hemisphere? 3) If present, Is there a pathophysiological link between anatomical patterns and the age peculiarities ?
DOI: 10.17632/grbty6gwbc.1
title: APPENDIX_2_alternative_tests_index

description: Alternative tests data – 2014-19 African inclusive urbanisation index This spreadsheet includes the base data and statistical process used to assess the predictive validity of the instrument described in the paper ‘A comparative measure of inclusive urbanisation in the cities of Africa’. The original 2014 data and its resultant cities index is assessed against data for a consolidated three-indicator set of inclusive urbanisation criteria five years following the term of the baseline study with data available in 2019. The original instrument is assessed in three predominant and originally untested areas. The first is in the area of its constituent variables, or indicators. Second, the value of dividing the index into two related sub-indices as opposed to a single index is tested. The third reviewed area is the statistical construction of the instrument. The original index is subjected to a range of tests evaluating the original instrument in all three areas, and a revised instrument is proposed. Composites of the three-indicator 2014-19 data set are created and correlated with the original 2014 indicator set. Geometric and arithmetic means for both sets are tested, with and without separation of the two sub-indices. The highest Correlation R score is identified as the arithmetic composite paired with the arithmetically averaged original indicator set with leading and lagging subsets. A series of tests are compiled to improve the figure with adjusted combinations of the original indicator set. All 24 indicators are tested against both 2014-19 composites, and 13 removed as they display poor or negative correlations. Different combinations of the remaining 11 indicators are tested and despite demonstrating adequate correlations within the composite, three are further discarded as they lower the overall correlation score of the reconfigured instrument against the three-indicator set. The final eight equally weighted, arithmetically averaged indicators are retained in a reconfigured composite that results in the highest correlation with the arithmetically averaged 2014-2019 composite. The resultant model is used as the foundation of a reconstituted instrument that displays reduced complexity and increased accuracy. Sheet 3 of the spreadsheet replicates the regression analyses and Sheet 2 the correlation analysis for the results that are replicated on Sheet 1, with the indicator set of the reconfigured instrument listed in Columns T-AE.
DOI: 10.17632/xcggh9cvwv.3
title: Evidence for deep processes from Miocene potassic rock: dynamic subsidence and uplift of India-Asia Suture Zone

description: U-Pb dating results, trace element and Hf isotopic compositions for zorcons of the Saga potassic magmatic rocks within the India-Asia Suture Zone (Table S1, S2, S3, respectively); Compiled zircon U-Pb ages and Hf isotopic compositions in the Southern Tibetan Plateau (Table S4); Major and trace elements for garnets of the Saga potassic magmatic rocks within the India-Asia Suture Zone (Table S5).
DOI: 10.17632/khwyfjmt7g.1
title: Mitochondrial genome 2

description: Chorisquilla orientalis
DOI: 10.17632/mfp7jvw7yk.1
title: Landsat-8 OLI image pixels for developing water mapping algorithms

description: This dataset contains 153140 Landsat-8 OLI pixels. The pixels were collected from 180 subsite images (900 by 900 m) in 22 Landsat-8 OLI imageries that covering various water-land environments around the world. Each pixel is represented as a row of data with the attributes described here. DATE - The date of the Landsat 8 OLI image acquisition as YYYYMMDD. PATH/ROW - The Worldwide Reference System path and row of the Landsat image. SR - Spatial reference read from ArcGIS 10.5 CORX - x-coordinate of pixel center in the SR system CORY - y-coordinate of pixel center in the SR system WT.PCT - An integer value of the percentage area of the pixel that is covered by water. PIX.TYPE - Defined a pixel is water (1) or non-water (0) CLASS - The dominant land type contained in pixel. WT = water, VL = vegetated land, BL = built-up land, and SL = shadowed land BAND1, 2, 3, 4, 5, 6, 7 - Band surface reflectance. NDWI, MNDWI, AWEI0, AWEI1, WI2015 - The five water indices calculated with the algorithms listed below. NDWI = (ρb3-ρb5) / (ρb3+ρb5) MNDWI = (ρb3-ρb6) / (ρb3+ρb6) AWEI0 = 4(ρb3-ρb6)-0.25ρb5-2.75ρb7 AWEI1 = ρb2+2.5ρb3-1.5(ρb5+ρb6)-0.25ρb7 WI2015 = 1.7204+171ρb3+3ρb4-70ρb5-45ρb6-71ρb7 where ρ is surface reflectance and b1, b2, …, b7 are band numbers of Landsat-8 OLI images.
DOI: 10.17632/r8xvdb6b7x.1
title: Antao and Karnik

description: This dataset has been used for the empirical exercises reported in the Antao, S. and Karnik, A. (2020) NON-INTEREST INCOME AND BANKS PROFITABILITY: EVIDENCE FROM COUNTRIES IN THE ASIA/PACIFIC REGION (unpublished). The purpose of this paper is to examine the impact that non-interest income on the profitability of banks in the Asia-Pacific region. This has been an important area of research as banks have diversified their income earning options to noninterest sources. The evidence on the impact of noninterest income on bank profitability has been mixed and it is also not clear how the recession of 2018 affected this aspect of bank operations. We examine this using a panel dataset of over 1000 banks spread over 18 countries and 19 years from 2000 to 2018. We employ the two-step GMM estimation method which is particularly appropriate for our panel data. The equations we estimate are for all 18 countries taken together as well as subgroups of countries. Our results show that, by and large, noninterest incomes adversely affect bank profitability. However, it bears pointing out that there is a lot of variation in our results across subgroups of countries. The data was collected from: S&P Capital IQ. [online] Available at: https://www.capitaliq.com
DOI: 10.17632/h2yw7v8kb2.1
title: Kerr rotation signals measured in a 5-nm (Fe_0.81Ga_0.19) under 10-GHz and 80-MHz optical excitation

description: Data presented in the article 'Resonant thermal energy transfer to magnons in a ferromagnetic nanolayer' Authors: Michal Kobecki, Alexey V. Scherbakov, Tetiana L. Linnik, Serhii M. Kukhtaruk, Vitalyi E. Gusev, Debi P. Pattnaik, Ilya A. Akimov, Andrew W. Rushforth, Andrey V. Akimov, and Manfred Bayer There are four folders containing raw data of the Kerr rotation signals 1) three folders includes the data obtained at 10-GHz optical excitation for three excitation powers 95mW, 55mW and 30mW; In each folder there are files with the raw signals which names correspond to the external magnetic field values in mT. A background file, which is included into each folder, contains the background signal of the system, which has to be subtracted from the raw signals in order to obtain the correct waveform of the Kerr rotation signal. The signals were measured in a differential scheme and the calibration coefficient between the measured voltage and the Kerr rotation angle (in radians) is a=5E-4 (KR angle = a*voltage). Each folder includes also the 'RMS values' file, which contains the processed data with the Root Mean Square amplitudes for each signal. 2) one folder includes the data obtained at 80-MHz optical excitation for single excitation power of 250 mW. The second part of the file name indicates the strength of the external magnetic field. The calibration coefficient between the measured voltage and the Kerr rotation angle (in radians) is a=7E-3 (KR angle = a*voltage).
DOI: 10.17632/jm3fjvjyf2.2
title: Data of “Baicalin inhibits Salmonella typhimurium-induced inflammation and autophagy through the TLR4/MAPK pathway”

description: Results 1. Effects of Baicalin on cell viability and LDH production Note: RAW264.7 cells viability——RAW细菌感染细胞活性 H9 cells viability——H9细菌感染细胞活性 1——control group；2——S. typhimurium group；3,4,5——S. typhimurium + Baicalin (25, 50, 100 μmol/L) group; 6——100 μmol/L Baicalin group Note： LDH of RAW264 cells——LDHRAW264 LDH of H9 cells cells——LDHH9 1——control group；2——S. typhimurium group；3,4,5——S. typhimurium + Baicalin (25, 50, 100 μmol/L) group; 6——100 μmol/L Baicalin group 2. Effects of Baicalin on bactericidal effect Note： Bactericidal effect——rateofkilling 1——S. typhimurium group；2,3,4——S. typhimurium + Baicalin (25, 50, 100 μmol/L) group. 3. Effects of Baicalin on inflammatory cytokines and oxidative stress induced by S. typhimurium Note： The levels of TNF-α——TNFz；The levels of IL-1β——IL1z；The levels of IL-6——IL6z；The levels of IL-8——IL8z 1——control group；2——S. typhimurium group；3,4,5——S. typhimurium + Baicalin (25, 50, 100 μmol/L) group; 6——100 μmol/L Baicalin group ROS production——ROS 1——control group；2——S. typhimurium group；3,4,5——S. typhimurium + Baicalin (25, 50, 100 μmol/L) group; 6——100 μmol/L Baicalin group 4. Baicalin mediated the autophagy and activation of TLR4 pathway induced by S. typhimurium Note： LC3 immuno-positive cells——荧光百分率 1——control group；2——S. typhimurium group；3——S. typhimurium + Baicalin (100 μmol/L) group; 4——100 μmol/L Baicalin group the expression of LC3-II/I——LC3；the expression of Beclin 1——Beclin 1 1——control group；2——S. typhimurium group；3——S. typhimurium + Baicalin (100 μmol/L) group; 4——100 μmol/L Baicalin group the expression of TLR4, p-p38/p38, p-JNK/JNK, p-ERK/ERK——TLR4, p38, JNK, ERK 1——control group；2——S. typhimurium group；3——S. typhimurium + Baicalin (100 μmol/L) group; 4——100 μmol/L Baicalin group 5. Effects of Baicalin on S. typhimurium-induced autophagy and activation of TLR4 pathway in TLR4 overexpression Note： the expression of TLR4——pcDNATLR4 1——pcDNA3.1(+) group；2——pcDNA3.1-TLR4 group； the expression of LC3, Beclin1, TLR4, p-p38/p38, p-JNK/JNK, p-ERK/ERK——LC32, Beclin12, TLR42, p382, JNK2, ERK2 1——pcDNA3.1(+)-S. typhimurium group；2——pcDNA3.1(+)-S. typhimurium + Baicalin group; 3—— pcDNA3.1-TLR4 -S. typhimurium group；4——pcDNA3.1-TLR4 -S. typhimurium + Baicalin group
DOI: 10.17632/pk9prjbvph.1
title: Characteristics of non-melanoma skin cancer in children without identifiable risk factors: Supplemental Table

description: Supplemental Table: Specific iatrogenic risk factors and predisposing skin conditions in patients with risk factors (n = 72)
DOI: 10.17632/byyhpjdv2m.1
title: Microsite preferences

description: Microsite preferences of seedlings and saplings along altitudinal gradients in a low latitude tropical montane forest of Myanmar, Southeast Asia region.
DOI: 10.17632/byyhpjdv2m.2
title: Microsite preferences

description: Microsite preferences of seedlings and saplings along altitudinal gradients in a low latitude tropical montane forest of Myanmar, Southeast Asia region.
DOI: 10.17632/d97c4mc2rm.1
title: Role of Cpeb4 in the heart
DOI: 10.17632/wdfhnj2dy6.1
title: Pawski Ług
DOI: 10.17632/c7jhvd7g9p.2
title: How precise is quantitative prediction of drug-drug interactions

description: How precise is quantitative prediction of drug-drug interactions and genotype from in vitro data: A comprehensive analysis on the example CYP2D6 and CYP2C19 substrates -Supplementary material
DOI: 10.17632/24bfpnnyth.1
title: APPENDIX_1_2014_baseline_index_data

description: 2014 baseline index data for assessment of African cities' inclusive urbanisation. This data set is the base data for the instrument described in the paper ‘A comparative measure of inclusive urbanisation in the cities of Africa’. The resultant index assesses, ranks and compares the potential for inclusive urbanisation of Africa’s leading cities in a scale that also allows for global comparison. The statistical processes underpinning the instrument were developed in the format described in the Appendix from 2013 onwards in studies that have varied in size, focus and source data. The parameters of the instrument have been defined to yield insights for investment, policy and theoretical development; be sufficiently flexible to include dominant cities across African states; allow comparison within and beyond Africa; incorporate indicators that reflect the span of inclusive urbanisation; and identify trends rather than the conditions that prevail at one time. The diagnostic instrument was developed to advance the theoretical specification of inclusive urbanisation in the African context, to identify promising policy interventions, and also to shed light on cities’ investment potential because demonstrable inclusive urbanisation attracts and rewards investment. The instrument and the data included in this spreadsheet are used as the baseline for comparison with three dimensions of ‘achieved inclusive urbanisation’ five years later, with the process and outcome of comparison described in the associated article.
DOI: 10.17632/vwhy9bk99s.1
title: Lung transcriptome sequencing anlysis in Male Sprague-Dawley rats

description: Lung transcriptome sequencing anlysis in LPS-induced ALI model rats (Male Sprague-Dawley rats) after treatment with Ma Xing Shi Gan Decoction
DOI: 10.17632/zxfxd59554.2
title: PyFEST - a Python code for accurate frequency estimation

description: The data consist of an application, namely PyFEST, written in Python language, and a file with instructions to install and use the application. It can be used to estimate the frequencies of short-time signals with high accuracy. Along with the application, examples with generated signal (single-ton, multi-tone, noisy, damped etc.) and measured signals are delivered for testing purposes. The frequencies of the harmonic components are evaluated one-by-one with high accuracy. Because the actions performed do not imply previous expertise, the results are not influenced by human intervention.
DOI: 10.17632/wxgdyr5ppd.1
title: Money, Finance and Growth in Cuba
DOI: 10.17632/6z5zkzb3hv.2
title: Omics-driven systems interrogation of metabolic dysregulationin COVID-19 pathogenesis

description: Systematic analyses of metabolic alterations during COVID-19 pathogenesis will uncover candidate pathways implicated in disease progression. We utilize a combination of targeted and untargeted tandem mass spectrometry for quantitative profiling of plasma lipidome and metabolome in mild, moderate and severe COVID-19 patients and healthy controls. We found that the plasma lipidome of COVID-19 resembled that of monosialodihexosyl gangliosides (GM3)-enriched exosomes, with enhanced levels of sphingomyelins (SMs) and GM3s. We conducted systems evaluation of metabolic dysregulation in COVID-19 using multiscale embedded differential correlation networks, and uncovered two lipid modules implicating bis(monoacylglyero)phosphate (BMPs)-mediated lipid sorting in multivesicular bodies (MVBs), and the negative co-regulation between GM3s and phosphatidylserines (PSs) in COVID-19 pathogenesis. We validated our postulations drawn based on plasma lipid changes using exosomes isolated from the same cohort. We measured exosome lipids and demonstrated that GM3s were increasingly enriched in the exosomes of COVID-19 patients with elevating disease severity. The levels of lipids and metabolotes are presented in the attached excel file. The level of lipids was expressed as nmol/L, while the level of polar metabolites was expressed as peak area (intensity).
DOI: 10.13145/bacdive164066.20211221.6
title: <i>Polaribacter</i> <i>pacificus</i> Wu <i>et al.</i> 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164067.20211221.6
title: <i>Psychromarinibacter</i> <i>halotolerans</i> Qiao <i>et al.</i> 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164068.20211221.6
title: <i>Noviherbaspirillum</i> <i>agri</i> Chaudhary and Kim 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164069.20211221.6
title: <i>Escherichia</i> <i>coli</i> (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164070.20211221.6
title: <i>Klebsiella</i> <i>pneumoniae</i> (Schroeter 1886) Trevisan 1887

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164071.20211221.6
title: <i>Pseudomonas</i> <i>aeruginosa</i> (Schroeter 1872) Migula 1900

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164072.20211221.6
title: <i>Enterococcus</i> <i>faecalis</i> (Andrewes and Horder 1906) Schleifer and Kilpper-B„lz 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164073.20211221.6
title: <i>Flavobacterium</i> <i>panacis</i> Kim <i>et al.</i>

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164074.20211221.6
title: <i>Nitrososphaera</i> <i>gargensis</i>

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164075.20211221.6
title: <i>Kineococcus</i> <i>endophyticus</i> Bian <i>et al.</i> 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164076.20211221.6
title: <i>Nocardioides</i> <i>solisilvae</i> Sultanpuram <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164077.20211221.6
title: <i>Stakelama</i> <i>algicida</i> Kristyanto <i>et al.</i> 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164078.20211221.6
title: <i>Serinicoccus</i> <i>hydrothermalis</i> Zhang <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164079.20211221.6
title: <i>Chitinimonas</i> <i>naiadis</i> Padakandla and Chae 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.