cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19418963
title: Trajectories of migrating U87-MG cancer cells, gradient vs. gradient free

description: This data set includes for different set of trajectories from invading U87-MG cells:<b>1</b>) Data from cells escaping a spheroid ~ gradient assay (GA_data.mat)<b>2</b>) Data from cells migrating individually ~ gradient-free assay (GFA_data.mat)<b>3</b>) Simulation of cells escaping a spheroid ~ biased persistent random walk (GFA_sim.mat)4) Data from cells migrating individually ~ persistent random walk (GA_sim.mat) Data structures are saved as mat-files ready for the @msdanalyzer matlab package (see reference below) or https://github.com/tinevez/msdanalyzer. The data objects have the following properties: <b>TOLERANCE</b>: Tolerance for binning delays together. Two delays will be binned together if they differ in absolute value by less than 10^-TOLERANCE.<b>tracks</b>: trajectories stored in a cell array, one T x n_dim per particle<b>n_dim</b>: dimensionality of the problem<b>space_units</b>: spatial units<b>time_units</b>: time units<b>msd</b>: all mean-squared displacements of the trajectories<b>drift</b>: drift if any<b>spheroid_tracks</b>: all trajectories translated to start in origo (0,0)<b>Rmin</b>: min. displacement to include trajectory (to remove non-motile)<b>migrating_cells</b>: indices of migrating cell, given Rmin<b>limPrct</b>: limit (percent) used for fitting of Fürth’s formula to msd<b>r2fit</b>: R2 value of the individual fits<b>P</b>: persistence time (time units) obtained from fit <b>S</b>: migration speed (space units/time units) obtained from fit<b>delta</b>: bias amplitude (dimensionless)<b>dt</b>: time steps (time units)
DOI: 10.6084/m9.figshare.20728096.v1
title: Supplementary Material for: Nintedanib-Induced Delayed Mucosal Healing after Adjuvant Radiation in a Case of Oropharyngeal Carcinoma

description: Since the launch of imatinib in 2001, tyrosine kinase inhibitors are being used in chemotherapy for a wide range of malignant tumors. Drugs that inactivate multiple molecular mechanisms are called multikinase inhibitors (MKIs). Nintedanib is a type of MKI that inhibits downstream cascades in three systems: vascular endothelial growth factor receptor, fibroblast growth factor receptor, and platelet-derived growth factor receptor inhibitions. It was initially developed as an anticancer drug for non-small-cell lung carcinoma; however, it was also found to inhibit the proliferation of fibroblasts associated with chronic inflammation in the lungs. Therefore, it is being more widely used to treat idiopathic pulmonary fibrosis, a benign disease, than as an antineoplastic agent. Several studies have reported adverse events associated with the concurrent use of MKIs with surgery or radiotherapy. Specifically, there has been a report cautioning against delayed wound healing associated with the use of nintedanib in patients undergoing surgery. However, there is no specific mention of its concurrent use during irradiation. We describe a case of a 72-year-old man with severely delayed recovery from radiation mucositis when nintedanib was being administered for benign disease.
DOI: 10.26106/ygjv-nz08
title: FASTQ files from NGS 16S bacterial DNA sequencing - comparison of iSeq with MiSeq - concept
DOI: 10.6084/m9.figshare.20728108
title: ypic data

description: chinese version ypi data
DOI: 10.6084/m9.figshare.20728108.v1
title: ypic data

description: chinese version ypi data
DOI: 10.6084/m9.figshare.20726845
title: mobility.rar

description: The human mobility data from 2020.10 to 2021.7
DOI: 10.6084/m9.figshare.20726845.v1
title: mobility.rar

description: The human mobility data from 2020.10 to 2021.7
DOI: 10.25934/pr00007598
title: Statistical investigation of comorbidities of back pain in the medical history data from clinical trials of healthy subjects

description: According to a 2018 report, 20.4% of adults in the USA had chronic pain in the 2016 study period, and the associated economic cost, including additional health care costs, is estimated to be between $560 and $635 billion per annum.  A systematic review published in 2016 estimated the prevalence of chronic pain in UK adults to be as high as 40.3%, and the economic cost of back pain alone is estimated to be £21 billion per annum.

There is a growing literature on overlap between common chronic pain syndromes, in which irritable bowel syndrome and chronic fatigue syndrome are included.

The popular literature on pain syndromes includes many claims that chronic pain is usually psychosomatic in nature: that is, that the mind and body interact to create or worsen the condition. Some go so far as to claim that hay fever, acid reflux, migraine, eczema, tinnitus, frequent urination and other common ailments are also psychosomatic in nature and are related to chronic back pain. That is, the number of conditions claimed to overlap is larger that apparently recognized in the recent scholarly literature and goes considerably beyond just pain syndromes.

Whilst the claim that ailments in such diverse body systems are related and neurological in origin may appear unlikely, a 1998 study found that degree of childhood abuse was predictive of depression, suicidality, heart disease, cancer, lung disease, skeletal fractures and liver disease. It might, therefore, be the case that normal levels of trauma are associated with lesser, but important, morbidities.

The proposed research aims to use existing medical history data from large clinical trials of relatively healthy people to investigate if back pain is related to hay fever, acid reflux, migraine and other conditions, to either negate or effectively prove the relationships.

Should it be found that there are relationships between pain, allergies, gastrointestinal and central nervous system conditions, it cannot be proved that the causes of those conditions are sometimes neurological or the result of normal levels of trauma encountered in life. However, in the absence of an alternative credible overarching explanation that links all those body systems together, neurological origin becomes a strong candidate for patients and physicians to consider.
DOI: 10.6084/m9.figshare.20718547
title: Supplementary: Implications of a HbA1c based diabetes screening on prevalence and impact of dysglycemia in patients with COVID-19

description: <strong>Purpose:</strong> In patients with SARS-CoV-2 infection, diabetes is associated with poor COVID-19 prognosis. However, case detection strategy is divergent and reported prevalence varies from 5 to 35%. We examined in how far the choice of screening tools impacts the detection rate of dysglycemia and in consequence the estimation of diagnosis-associated risk for moderate (mo) or severe (s) COVID-19. <strong>Methods:</strong> Non-ICU in-patients with COVID-19 were screened systematically at admission for diabetes (D) and prediabetes (PreD) by HbA1c (A), random blood glucose (B) and known history (C) during 01/NOV/2020-08/MAR/2021. Dysglycemia rate and impact on COVID-19 outcome were analyzed in two screening strategies (ABC vs. BC). <strong>Results:</strong> 578/601 (96.2%) of admitted patients were screened and analyzed. In ABC, prevalence of D and PreD was 38.2 and 37.5%, respectively. D was significantly associated with an increased risk for more severe COVID-19 (aOR(moCOVID-19): 2.14, 95%CI: 1.22-3.75 and aOR(sCOVID-19): 2.83, 95%CI:1.54-5.19). Patients with PreD also presented more often with more severe COVID-19 than those with normoglycemia (aOR(moCOVID-19): 1.76, 95%CI: 1.04-2.97 and aOR(sCOVID-19): 2.41, 95%CI: 1.37-4.23). Screening with BC only failed to identify 96% of PreD (206/217) and 26.2% of D diagnosis (58/221) and missed association of dysglycemia and COVID-19 severity. <strong>Conclusions:</strong> Pandemic conditions may hamper dysglycemia detection rate and in consequence the awareness of individual patient risk for COVID-19 severity. A systematic diabetes screening including HbA1c reduces underdiagnosis of previously unknown or new onset dysglycemia, enhances the quality of risk estimation and access of patients at risk to a diabetes-specific intervention.
DOI: 10.6084/m9.figshare.20718547.v2
title: Supplementary: Implications of a HbA1c based diabetes screening on prevalence and impact of dysglycemia in patients with COVID-19

description: <strong>Purpose:</strong> In patients with SARS-CoV-2 infection, diabetes is associated with poor COVID-19 prognosis. However, case detection strategy is divergent and reported prevalence varies from 5 to 35%. We examined in how far the choice of screening tools impacts the detection rate of dysglycemia and in consequence the estimation of diagnosis-associated risk for moderate (mo) or severe (s) COVID-19. <strong>Methods:</strong> Non-ICU in-patients with COVID-19 were screened systematically at admission for diabetes (D) and prediabetes (PreD) by HbA1c (A), random blood glucose (B) and known history (C) during 01/NOV/2020-08/MAR/2021. Dysglycemia rate and impact on COVID-19 outcome were analyzed in two screening strategies (ABC vs. BC). <strong>Results:</strong> 578/601 (96.2%) of admitted patients were screened and analyzed. In ABC, prevalence of D and PreD was 38.2 and 37.5%, respectively. D was significantly associated with an increased risk for more severe COVID-19 (aOR(moCOVID-19): 2.14, 95%CI: 1.22-3.75 and aOR(sCOVID-19): 2.83, 95%CI:1.54-5.19). Patients with PreD also presented more often with more severe COVID-19 than those with normoglycemia (aOR(moCOVID-19): 1.76, 95%CI: 1.04-2.97 and aOR(sCOVID-19): 2.41, 95%CI: 1.37-4.23). Screening with BC only failed to identify 96% of PreD (206/217) and 26.2% of D diagnosis (58/221) and missed association of dysglycemia and COVID-19 severity. <strong>Conclusions:</strong> Pandemic conditions may hamper dysglycemia detection rate and in consequence the awareness of individual patient risk for COVID-19 severity. A systematic diabetes screening including HbA1c reduces underdiagnosis of previously unknown or new onset dysglycemia, enhances the quality of risk estimation and access of patients at risk to a diabetes-specific intervention.
DOI: 10.6084/m9.figshare.20718547.v1
title: Supplementary: Implications of a HbA1c based diabetes screening on prevalence and impact of dysglycemia in patients with COVID-19

description: <strong>Purpose:</strong> In patients with SARS-CoV-2 infection, diabetes is associated with poor COVID-19 prognosis. However, case detection strategy is divergent and reported prevalence varies from 5 to 35%. We examined in how far the choice of screening tools impacts the detection rate of dysglycemia and in consequence the estimation of diagnosis-associated risk for moderate (mo) or severe (s) COVID-19. <strong>Methods:</strong> Non-ICU in-patients with COVID-19 were screened systematically at admission for diabetes (D) and prediabetes (PreD) by HbA1c (A), random blood glucose (B) and known history (C) during 01/NOV/2020-08/MAR/2021. Dysglycemia rate and impact on COVID-19 outcome were analyzed in two screening strategies (ABC vs. BC). <strong>Results:</strong> 578/601 (96.2%) of admitted patients were screened and analyzed. In ABC, prevalence of D and PreD was 38.2 and 37.5%, respectively. D was significantly associated with an increased risk for more severe COVID-19 (aOR(moCOVID-19): 2.14, 95%CI: 1.22-3.75 and aOR(sCOVID-19): 2.83, 95%CI:1.54-5.19). Patients with PreD also presented more often with more severe COVID-19 than those with normoglycemia (aOR(moCOVID-19): 1.76, 95%CI: 1.04-2.97 and aOR(sCOVID-19): 2.41, 95%CI: 1.37-4.23). Screening with BC only failed to identify 96% of PreD (206/217) and 26.2% of D diagnosis (58/221) and missed association of dysglycemia and COVID-19 severity. <strong>Conclusions:</strong> Pandemic conditions may hamper dysglycemia detection rate and in consequence the awareness of individual patient risk for COVID-19 severity. A systematic diabetes screening including HbA1c reduces underdiagnosis of previously unknown or new onset dysglycemia, enhances the quality of risk estimation and access of patients at risk to a diabetes-specific intervention.
DOI: 10.25919/r4zv-ef58
title: Parkes observations for project P595 semester 2022APRS_12

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.25442/hku.20479017
title: Supporting data for "Biochemical Activities of Actinopain Peptidases From Actinomyces Bacteria"

description: The dataset contains supporting data for the thesis “Biochemical Activities of Actinopain Peptidases From Actinomyces Bacteria” <br> The files in this dataset include bioinformatics analysis of actinopain homologues, qRT-PCR results of actinopain transcription, SDS-PAGE images for protein purity determination and the self-digestion activities, specific rate data of the protein hydrolytic activities, protein 3D structure model, and the figures for the thesis.
DOI: 10.25442/hku.20479017.v1
title: Supporting data for "Biochemical Activities of Actinopain Peptidases From Actinomyces Bacteria"

description: The dataset contains supporting data for the thesis “Biochemical Activities of Actinopain Peptidases From Actinomyces Bacteria” <br> The files in this dataset include bioinformatics analysis of actinopain homologues, qRT-PCR results of actinopain transcription, SDS-PAGE images for protein purity determination and the self-digestion activities, specific rate data of the protein hydrolytic activities, protein 3D structure model, and the figures for the thesis.
DOI: 10.25574/48500
title: Chandra X-ray Observatory ObsId 48500
DOI: 10.25574/48507
title: Chandra X-ray Observatory ObsId 48507
DOI: 10.25574/48534
title: Chandra X-ray Observatory ObsId 48534
DOI: 10.25574/48599
title: Chandra X-ray Observatory ObsId 48599
DOI: 10.25574/48629
title: Chandra X-ray Observatory ObsId 48629
DOI: 10.25574/48745
title: Chandra X-ray Observatory ObsId 48745
DOI: 10.6084/m9.figshare.20728414
title: Number of rhinoceros beetles

description: The number of <em>T. dichotomus </em>on the focal sap site recorded every half hour from 4:30 to 8:00 (Aug 15, 16, and 18) or 4:30 to 12:00 (Aug 19 and 20). On Aug 15, 16 and 18, all <em>T. dichotomus</em> disappeared at approximately 5:00 due to <em>V. mandarinia</em> attacks<em>. </em>In contrast, on Aug 19 and 20 when hornets were experimentally prevented from landing on the sap site, five beetles remained until 12:00.
DOI: 10.5281/zenodo.7032227
title: Genome sequences of Rhizopogon roseolus, Mariannaea elegans, Myrothecium verrucaria, and Sphaerostilbella broomeana and the identification of biosynthetic gene clusters for fungal peptide natural products

description: Data to accompany the paper, detailed in manifest.txt
DOI: 10.5281/zenodo.7032226
title: Genome sequences of Rhizopogon roseolus, Mariannaea elegans, Myrothecium verrucaria, and Sphaerostilbella broomeana and the identification of biosynthetic gene clusters for fungal peptide natural products

description: Data to accompany the paper, detailed in manifest.txt
DOI: 10.5281/zenodo.7034082
title: REFLOW - Dataset for the report on crop yield, crop uptake of N

description: The dataset includes data of yields of maize and its uptake of nitrogen with application of REFLOW fertilizers from a field experiment in Denmark.
DOI: 10.5281/zenodo.7034081
title: REFLOW - Dataset for the report on crop yield, crop uptake of N

description: The dataset includes data of yields of maize and its uptake of nitrogen with application of REFLOW fertilizers from a field experiment in Denmark.
DOI: 10.6084/m9.figshare.20728660
title: Untitled Item

description: The blog texts about cities in Weibo from 2020.10 to 2021.7.
DOI: 10.6084/m9.figshare.20728660.v1
title: Untitled Item

description: The blog texts about cities in Weibo from 2020.10 to 2021.7.
DOI: 10.25399/unisadata.20728582
title: AF01 Research survey data – 2017

description: This is survey data collected as part of a case study titled “AF01 - Curriculum Alignments at Institutions of Higher Learning in Africa: Preparing Professionals to Manage Records Created in Networked Environments”. I was principal researcher of the case study that was conducted by the African Team (http://interparestrust.org/trust/aboutus/africa) of the InterPARES Trust project, a multi-year interdisciplinary project investigating the long-term preservation of authentic digital records . The AF01 survey data was collected in 2017 using an online survey collection instrument, Survey Monkey. The survey explored AF01 case study themes through 10 research questions in three categories: (1) background demographic information; (2) characteristics of education; and (3) types of courses and extent covered during respondents’ education or training programme
DOI: 10.25399/unisadata.20728582.v1
title: AF01 Research survey data – 2017

description: This is survey data collected as part of a case study titled “AF01 - Curriculum Alignments at Institutions of Higher Learning in Africa: Preparing Professionals to Manage Records Created in Networked Environments”. I was principal researcher of the case study that was conducted by the African Team (http://interparestrust.org/trust/aboutus/africa) of the InterPARES Trust project, a multi-year interdisciplinary project investigating the long-term preservation of authentic digital records . The AF01 survey data was collected in 2017 using an online survey collection instrument, Survey Monkey. The survey explored AF01 case study themes through 10 research questions in three categories: (1) background demographic information; (2) characteristics of education; and (3) types of courses and extent covered during respondents’ education or training programme
DOI: 10.25442/hku.20499510
title: Supporting data for "Disulfide-bond Assisted Peptide Ligation for Chemical Protein Synthesis"

description: Chemical protein synthesis serves as a powerful approach for protein preparation and modifications. It can provide atom-by-atom control during the whole synthesis process. Peptides with aggregation tendency show poor solubility during the purification and ligation step, which greatly challenges chemical protein synthesis. In addition, another major problem of chemical protein synthesis is inefficient chemical ligations. As peptides become long, the difficulty in dissolving peptides in the ligation buffer to achieve high peptide concentration increases, leading to inferior ligation performance. In this context, we have developed methods to deal with this two major issues. In this dataset, we show the details of the reducible solubilizing tags strategy and the disulfide-bond assisted peptide ligation method, containing the reagents, general methods, synthetic route, related protocols, and characterizations.
DOI: 10.25442/hku.20499510.v1
title: Supporting data for "Disulfide-bond Assisted Peptide Ligation for Chemical Protein Synthesis"

description: Chemical protein synthesis serves as a powerful approach for protein preparation and modifications. It can provide atom-by-atom control during the whole synthesis process. Peptides with aggregation tendency show poor solubility during the purification and ligation step, which greatly challenges chemical protein synthesis. In addition, another major problem of chemical protein synthesis is inefficient chemical ligations. As peptides become long, the difficulty in dissolving peptides in the ligation buffer to achieve high peptide concentration increases, leading to inferior ligation performance. In this context, we have developed methods to deal with this two major issues. In this dataset, we show the details of the reducible solubilizing tags strategy and the disulfide-bond assisted peptide ligation method, containing the reagents, general methods, synthetic route, related protocols, and characterizations.
DOI: 10.5281/zenodo.6576201
title: Sensitivity analysis of a mathematical model simulating the post-hepatectomy hemodynamics response

description: Recently a lumped-parameter model of the cardiovascular system was proposed to simulate the hemodynamics response to partial hepatectomy and evaluate the risk of portal hypertension due to this surgery. Model parameters are tuned based on each patient data. This work focuses on a global sensitivity analysis study of such model to better understand the main drivers of the clinical outputs of interest. The analysis suggests which parameters should be considered patient-specific and which can be assumed constant without losing in accuracy in the predictions. While performing the sensitivity analysis, model outputs need to be constrained to physiological ranges. We employ an innovative approach exploiting the features of the polynomial chaos expansion method to reduce the overall computation cost. The computed results give new insights on how to improve the calibration of some model parameters. Moreover the final parameter distributions enable the creation of a virtual population that can be then used in future works. Although this work is focused on partial hepatectomy, the pipeline can be applied to other cardiovascular hemodynamics models to gain insights for patient-specific parameterization and to define a physiologically relevant virtual population.
DOI: 10.25442/hku.20499225
title: Supporting data for "Exploring how systemic inflammation affects the neurotoxic accumulation of α-synuclein"

description: This dataset explores the neurotoxic effect of accumulated, phoshorylated alpha-synuclein induced by recombinant preformed fibrils in cultured hippocampal neurons. Recombinant preformed fibrils of alpha-synuclein effectively induce phosphorylation and accumulation of alpha-synuclein into Lewy Body-like inclusions, but exactly how these inclusions lead to neuronal death remains elusive. To examine early stress responses, the phoshorylation of tau and the formation of stress granules were examined in vitro by confocal imaging. The dataset reveals a relationship between phosphorylated, aggregated alpha-synuclein and the formation of stress granules. <br> <br>
DOI: 10.25442/hku.20499225.v1
title: Supporting data for "Exploring how systemic inflammation affects the neurotoxic accumulation of α-synuclein"

description: This dataset explores the neurotoxic effect of accumulated, phoshorylated alpha-synuclein induced by recombinant preformed fibrils in cultured hippocampal neurons. Recombinant preformed fibrils of alpha-synuclein effectively induce phosphorylation and accumulation of alpha-synuclein into Lewy Body-like inclusions, but exactly how these inclusions lead to neuronal death remains elusive. To examine early stress responses, the phoshorylation of tau and the formation of stress granules were examined in vitro by confocal imaging. The dataset reveals a relationship between phosphorylated, aggregated alpha-synuclein and the formation of stress granules. <br> <br>
DOI: 10.24400/802406/z6rj-17jc
title: 4 MMS spacecraft SCM L2 Burst Quicklooks (PNG)

description: SCM burst quicklooks [1-4096Hz] shows from top to bottom : omnidirectional power spectral densities (nT^2/Hz), integrated power (nT^2), orbit view, spacecraft formation. All data are plotted in GSE.