cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12053055.v1
title: Opportunistic screening for diabetes mellitus and hypertension in primary care settings of Karnataka, India : few steps forward but still some way to go- Extended Data

description: Increasing burden of non-communicable diseases is an important public health concern in developing counties. To address this, the national non-communicable diseases programme was rolled out in India. A thorough understanding of operational issues involved in opportunistic screening of diabetes mellitus (DM) and hypertension (HTN) at primary health facilities is critical in meeting the objectives of this programme. Most of the studies so far have not responded to this need. Our study provides valuable insights regarding this which will guide the programme managers to take corrective measures.The objective was to determine the number and proportion eligible for screening, number screened, diagnosed and treated for DM and HTN among persons aged ≥30 years in two selected primary health centres (PHCs) in Dakshina Kannada district, Karnataka, India during March-May 2019 and to explore the enablers and barriers in the implementation of screening from the perspective of the health care providers (HCPs) and beneficiaries . This was a sequential explanatory mixed-methods study with a quantitative (cohort design) and a descriptive qualitative component (in-depth interviews and focus group discussions) with HCPs and persons seeking care. Those that were not known DM/HTN and not screened for DM/HTN in one year were used to estimate persons eligible for screening.This publication includes the extended data set of the study which includes the data collection checklist for quantitative data, guides for Focused Group Discussion and Key Informant Interview
DOI: 10.6084/m9.figshare.12052965
title: Mud-generation-simulation

description: Gives the results of the simulations of mud generation processes at the Absheron location, results presented as a companion paper of Blouin et al., 2019 (DOI 10.1029/2018JF004872)"SeCoV3" contains the input files and software used for the 1D sedimentation-related overpressure modeling and also the output file "geometry" contains the input files and software used to model the 2D geometry used un the 2D diffusion model and also the output files "Diffusion" presents the output files of the 4 2D diffusion simulations presented "Navier-Stokes - 1D extrapolation" gives the excel file used to extrapolate the 2D Navier-Stokes simulations for mud remobilizationPlease read the other readme.txt files present in the different folders that will guide you in the results
DOI: 10.6084/m9.figshare.12052962
title: Supplementary Material for: Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients

description: <b><i>Background:</i></b> We aimed to evaluate the performance of a deep learning (DL)-based Radiomics strategy designed for analyzing contrast-enhanced ultrasound (CEUS) to not only predict the progression-free survival (PFS) of radiofrequency ablation (RFA) and surgical resection (SR) but also optimize the treatment selection between them for patients with very-early or early-stage hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> We retrospectively enrolled 419 patients examined by CEUS within 1 week before receiving RFA or SR (RFA: 214, SR: 205) from January 2008 to 2016. Two Radiomics signatures were constructed by the Radiomics model R-RFA and R-SR to stratify PFS of different treatment groups. Then, RFA and SR nomograms were built by incorporating Radiomics signatures and significant clinical variables to achieve individualized 2-year PFS prediction. Finally, we applied both Radiomics models and both nomograms to each enrolled patient to investigate whether there were space for treatment optimization and how much prognostic improvement could be expected. <b><i>Results:</i></b> R-RFA and R-SR showed remarkable discrimination (C-index: 0.726 for RFA, 0.741 for SR). RFA and SR nomograms provided good 2-year PFS prediction accuracy and good calibrations. We identified 17.3% RFA patients and 27.3% SR patients should swap their treatment, so their average probability of 2-year PFS would increase 12 and 15%, respectively. <b><i>Conclusions:</i></b> The proposed Radiomics models and nomograms achieved accurate preoperative prediction of PFS for RFA and SR, and they could facilitate the optimized treatment selection between them for patients with very-early or early-stage HCC.
DOI: 10.6084/m9.figshare.12052995
title: Integrative Network Fusion: a multi-omics approach in molecular profiling

description: Dataset used for "Integrative Network Fusion: a multi-omics approach in molecular profiling" article.
DOI: 10.6084/m9.figshare.12052965.v2
title: Mud-generation-simulation

description: Gives the results of the simulations of mud generation processes at the Absheron location, results presented as a companion paper of Blouin et al., 2019 (DOI 10.1029/2018JF004872)"SeCoV3" contains the input files and software used for the 1D sedimentation-related overpressure modeling and also the output file "geometry" contains the input files and software used to model the 2D geometry used un the 2D diffusion model and also the output files "Diffusion" presents the output files of the 4 2D diffusion simulations presented "Navier-Stokes - 1D extrapolation" gives the excel file used to extrapolate the 2D Navier-Stokes simulations for mud remobilizationPlease read the other readme.txt files present in the different folders that will guide you in the results
DOI: 10.6084/m9.figshare.12052950
title: Opportunistic screening for diabetes mellitus and hypertension in primary care settings of Karnataka, India : few steps forward but still some way to go- Raw Data

description: Increasing burden of non-communicable diseases is an important public health concern in developing counties. To address this, the national non-communicable diseases programme was rolled out in India. A thorough understanding of operational issues involved in opportunistic screening of diabetes mellitus (DM) and hypertension (HTN) at primary health facilities is critical in meeting the objectives of this programme. Most of the studies so far have not responded to this need. Our study provides valuable insights regarding this which will guide the programme managers to take corrective measures.The objective was to determine the number and proportion eligible for screening, number screened, diagnosed and treated for DM and HTN among persons aged ≥30 years in two selected primary health centres (PHCs) in Dakshina Kannada district, Karnataka, India during March-May 2019 and to explore the enablers and barriers in the implementation of screening from the perspective of the health care providers (HCPs) and beneficiaries . This was a sequential explanatory mixed-methods study with a quantitative (cohort design) and a descriptive qualitative component (in-depth interviews and focus group discussions) with HCPs and persons seeking care. Those that were not known DM/HTN and not screened for DM/HTN in one year were used to estimate persons eligible for screening. This consists of the raw data sheets of the study and includes the de-identified participant results from the quantitative study and the de-identified transcripts from the focused group discussions and key informant interviews. I
DOI: 10.6084/m9.figshare.12052962.v1
title: Supplementary Material for: Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients

description: <b><i>Background:</i></b> We aimed to evaluate the performance of a deep learning (DL)-based Radiomics strategy designed for analyzing contrast-enhanced ultrasound (CEUS) to not only predict the progression-free survival (PFS) of radiofrequency ablation (RFA) and surgical resection (SR) but also optimize the treatment selection between them for patients with very-early or early-stage hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> We retrospectively enrolled 419 patients examined by CEUS within 1 week before receiving RFA or SR (RFA: 214, SR: 205) from January 2008 to 2016. Two Radiomics signatures were constructed by the Radiomics model R-RFA and R-SR to stratify PFS of different treatment groups. Then, RFA and SR nomograms were built by incorporating Radiomics signatures and significant clinical variables to achieve individualized 2-year PFS prediction. Finally, we applied both Radiomics models and both nomograms to each enrolled patient to investigate whether there were space for treatment optimization and how much prognostic improvement could be expected. <b><i>Results:</i></b> R-RFA and R-SR showed remarkable discrimination (C-index: 0.726 for RFA, 0.741 for SR). RFA and SR nomograms provided good 2-year PFS prediction accuracy and good calibrations. We identified 17.3% RFA patients and 27.3% SR patients should swap their treatment, so their average probability of 2-year PFS would increase 12 and 15%, respectively. <b><i>Conclusions:</i></b> The proposed Radiomics models and nomograms achieved accurate preoperative prediction of PFS for RFA and SR, and they could facilitate the optimized treatment selection between them for patients with very-early or early-stage HCC.
DOI: 10.6084/m9.figshare.12052965.v1
title: Mud-generation-simulation

description: Gives the results of the simulations of mud generation processes at the Absheron location, results presented as a companion paper of Blouin et al., 2019 (DOI 10.1029/2018JF004872)"SeCoV3" contains the input files and software used for the 1D sedimentation-related overpressure modeling and also the output file "geometry" contains the input files and software used to model the 2D geometry used un the 2D diffusion model and also the output files "Diffusion" presents the output files of the 4 2D diffusion simulations presented "Navier-Stokes - 1D extrapolation" gives the excel file used to extrapolate the 2D Navier-Stokes simulations for mud remobilizationPlease read the other readme.txt files present in the different folders that will guide you in the results
DOI: 10.6084/m9.figshare.12052887
title: Metadata record for: High resolution temporal profiles in the Emissions Database for Global Atmospheric Research

description: This dataset contains key characteristics about the data described in the Data Descriptor High resolution temporal profiles in the Emissions Database for Global Atmospheric Research. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12052950.v1
title: Opportunistic screening for diabetes mellitus and hypertension in primary care settings of Karnataka, India : few steps forward but still some way to go

description: Increasing burden of non-communicable diseases is an important public health concern in developing counties. To address this, the national non-communicable diseases programme was rolled out in India. A thorough understanding of operational issues involved in opportunistic screening of diabetes mellitus and hypertension at primary health facilities is critical in meeting the objectives of this programme. Most of the studies so far have not responded to this need. Our study provides valuable insights regarding this which will guide the programme managers to take corrective measures.
DOI: 10.6084/m9.figshare.12052950.v2
title: Opportunistic screening for diabetes mellitus and hypertension in primary care settings of Karnataka, India : few steps forward but still some way to go

description: Increasing burden of non-communicable diseases is an important public health concern in developing counties. To address this, the national non-communicable diseases programme was rolled out in India. A thorough understanding of operational issues involved in opportunistic screening of diabetes mellitus and hypertension at primary health facilities is critical in meeting the objectives of this programme. Most of the studies so far have not responded to this need. Our study provides valuable insights regarding this which will guide the programme managers to take corrective measures.
DOI: 10.6084/m9.figshare.12052782
title: SpecifAST antimicrobial susceptibility testing versus VITEK2 in positive blood cultures

description: - Csv file dataset with corresponding codebook- Dataset contains results of prospective 12-month laboratory study evaluating antimicrobial susceptibility results determined by the SpecifAST system compared to the VITEK2 system in clinical positive blood cultures: - Genus and species name of identified micro-organism - Type of antibiotic tested- SpecifAST and VITEK2 results on minimal inhibitory concentrations and corresponding interpretations according to EUCAST- Time to test result SpecifAST and VITEK2<br>
DOI: 10.6084/m9.figshare.12052674
title: Coronavirus. Some useful links and lists

description: Some useful links and lists on Coronavirus data<br>https://about.lens.org/covid-19/ - The Lens has assembled free and open datasets of patent documents, scholarly research works metadata and biological sequences from patents, and deposited them in a machine-readable and explorable form.https://cord19.vespa.ai/ - COVID-19 Open Research Dataset (CORD-19). 2020. Version 2020-03-27. Accessed 2020-03-28. doi:10.5281/zenodo.3727291https://www.ncbi.nlm.nih.gov/pmc/?term="COVID-19"+OR+Coronavirus+OR+"Corona+virus"+OR+"2019-nCoV"+OR+"SARS-CoV"+OR+"MERS-CoV" - - PMC - NCBIhttps://www.nih.gov/health-information/coronavirus - the latest research information from NIHhttps://www.coronavirus.gov/ - by WhiteHouse.govhttps://www.apple.com/covid19 - This tool can help you understand what to do next about COVID-19https://pages.semanticscholar.org/coronavirus-research - COVID-19 Open Research Dataset (CORD-19)https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov - Global research on coronavirus disease (COVID-19)https://clarivate.com/coronavirus-resources/ - Get the insights you need on COVID-19 from Clarivate resourceshttps://cord-19.apps.allenai.org/ - The CORD-19 Explorer is a full-text search engine for the COVID-19 Open Research Dataset-----WoSQuery — Web of Science Core CollectionTOPIC: (COVID-19 OR Coronavirus OR "Corona virus" OR 2019-nCoV OR SARS-CoV OR MERS-CoV)Timespan: 2019-2020. Indexes: SCI-EXPANDED, ESCI Results: 1,397<br>-----
DOI: 10.6084/m9.figshare.12052611
title: VT.20200329.USCountiesTop16.png

description: New York Times
DOI: 10.6084/m9.figshare.12052611.v1
title: VT.20200329.USCountiesTop16.png

description: New York Times
DOI: 10.6084/m9.figshare.12052440
title: Zaidi Supplementary File.docx

description: A new method was developed in which subcutaneous and intraperitoneal injections of NNK were administered to male wistar rats for 16 weeks and lung cancer model was developed with in 24 weeks time. For authentication of lung cancer in vivo we performed molecular docking simulations with protein biomarkers:Cox-2, p53, p38 MAPKs and EGFR using Hex-Discovery Studio, Schrödinger-maestro software.
DOI: 10.6084/m9.figshare.12052380
title: Supplementary Material for: Coronavirus Disease 19 Infection Does Not Result in Acute Kidney Injury: An Analysis of 116 Hospitalized Patients from Wuhan, China

description: <b><i>Background:</i></b> Whether the patients with coronavirus disease 19 (COVID-19) infected by severe acute respiratory syndrome (SARS)-CoV-2 would commonly develop acute kidney injury (AKI) is an important issue worthy of clinical attention. This study aimed to explore the effects of SARS-CoV-2 infection on renal function through analyzing the clinical data of 116 hospitalized COVID-19-confirmed patients. <b><i>Methods:</i></b> One hundred sixteen COVID-19-confirmed patients enrolled in this study were hospitalized in the Department of Infectious Diseases, Renmin Hospital of Wuhan University from January 14 to February 13, 2020. The recorded information includes demographic data, medical history, contact history, potential comorbidities, symptoms, signs, laboratory test results, chest computer tomography scans, and treatment measures. SARS-CoV-2 RNA in 53 urine sediments of enrolled patients was detected by real-time reverse transcription-polymerase chain reaction. <b><i>Results:</i></b> Twelve (10.8%) patients showed mild increase of blood urea nitrogen or creatinine (&lt;26 μmol/L within 48 h), and 8 (7.2%) patients showed trace or 1+ albuminuria in 111 COVID-19-confirmed patients without chronic kidney disease (CKD). All these patients did not meet the diagnostic criteria of AKI. In addition, 5 patients with CKD who were undergone regular continuous renal replacement therapy (CRRT) before admission were confirmed infection of SARS-CoV-2 and diagnosed as COVID-19. In addition to therapy for COVID-19, CRRT was also applied 3 times weekly during hospitalization for these 5 patients with CKD. In the course of treatment, the renal function indicators showed stable state in all 5 patients with CKD, without exacerbation of CKD, and pulmonary inflammation was gradually absorbed. All 5 patients with CKD were survived. Moreover, SARS-CoV-2 RNA in urine sediments was positive only in 3 patients from 48 cases without CKD, and 1 patient had a positive for SARS-CoV-2 open reading frame 1ab from 5 cases with CKD. <b><i>Conclusion:</i></b> AKI was uncommon in COVID-19. SARS-CoV-2 infection does not result in AKI, or aggravate CKD in the COVID-19 patients.
DOI: 10.6084/m9.figshare.12052440.v2
title: Zaidi Supplementary File.docx

description: A new method was developed in which subcutaneous and intraperitoneal injections of NNK were administered to male wistar rats for 16 weeks and lung cancer model was developed with in 24 weeks time. For authentication of lung cancer in vivo we performed molecular docking simulations with protein biomarkers:Cox-2, p53, p38 MAPKs and EGFR using Hex-Discovery Studio, Schrödinger-maestro software.
DOI: 10.6084/m9.figshare.12052440.v1
title: Zaidi Supplementary File.docx

description: A new method was developed in which subcutaneous and intraperitoneal injections of NNK were administered to male wistar rats for 16 weeks and lung cancer model was developed with in 24 weeks time. For authentication of lung cancer in vivo we performed molecular docking simulations with protein biomarkers:Cox-2, p53, p38 MAPKs and EGFR using Hex-Discovery Studio, Schrödinger-maestro software.
DOI: 10.26180/5e82d4ef670ce
title: SeqTrace_Human.zip

description: This dataset consists of scanning electron microscopy (SEM) measurements and sequencing data of two population specific variants; rs11150606 (chr16:g.31087690T&gt;C (hg38) p.Gln30Arg) observed in East Asian (EAS) and Native and Latin Americans and rs201075024 (chr16:g.31087679C&gt;T (hg38 p.Gly34Ser) which is observed exclusively in South Asians (SAS) in PRSS53. These variants are thought to influence hair shape. The samples were subsequently sequenced for the EDAR variant rs3827760 (chr2:g.108897145G&gt;C (hg38p.Val370Ala).<br>Malaysians (sample size: 99) from different ethnicities were recruited for this study and hair and saliva samples were collected from all the participants, after obtaining informed consent. DNA extracted from saliva samples was genotyped by sequencing a fragment of the PRSS53 gene and EDAR gene. The samples then underwent hair phenotype assessment using a scanning electron microscope (SEM). The images captured were measured for several parameters using ImageJ, and the measurements were tabulated. The SEM images and sequencing files are available with this data set. <br>Mouse hair samples were obtained from University of Edinburgh and Sanger Institute. These samples consist of a knockout, SAS specific variant and EAS specific variant strains, for the PRSS53 variants. Auchene hair samples were used for the SEM analysis, where the images were analysed with ImageJ, and the data tabulated.
DOI: 10.26180/5e82da2483136
title: Micro-scale response of coal with respect to CO2 sequestration in deep coal seams

description: Some micro-CT images of microstructure changes of coal subjected to various fluid saturations.
DOI: 10.26180/5e82e0aaa1958
title: Master_Summary.xlsx

description: This dataset consists of scanning electron microscopy (SEM) measurements and sequencing data of two population specific variants; rs11150606 (chr16:g.31087690T&gt;C (hg38) p.Gln30Arg) observed in East Asian (EAS) and Native and Latin Americans and rs201075024 (chr16:g.31087679C&gt;T (hg38 p.Gly34Ser) which is observed exclusively in South Asians (SAS) in PRSS53. These variants are thought to influence hair shape. The samples were subsequently sequenced for the EDAR variant rs3827760 (chr2:g.108897145G&gt;C (hg38p.Val370Ala).<br>Malaysians (sample size: 99) from different ethnicities were recruited for this study and hair and saliva samples were collected from all the participants, after obtaining informed consent. DNA extracted from saliva samples was genotyped by sequencing a fragment of the PRSS53 gene and EDAR gene. The samples then underwent hair phenotype assessment using a scanning electron microscope (SEM). The images captured were measured for several parameters using ImageJ, and the measurements were tabulated. The SEM images and sequencing files are available with this data set. <br>Mouse hair samples were obtained from University of Edinburgh and Sanger Institute. These samples consist of a knockout, SAS specific variant and EAS specific variant strains, for the PRSS53 variants. Auchene hair samples were used for the SEM analysis, where the images were analysed with ImageJ, and the data tabulated.
DOI: 10.26180/5e82d4e4bb5c9
title: MUM_PRSS53_Mouse_Data.xlsx

description: This dataset consists of scanning electron microscopy (SEM) measurements and sequencing data of two population specific variants; rs11150606 (chr16:g.31087690T&gt;C (hg38) p.Gln30Arg) observed in East Asian (EAS) and Native and Latin Americans and rs201075024 (chr16:g.31087679C&gt;T (hg38 p.Gly34Ser) which is observed exclusively in South Asians (SAS) in PRSS53. These variants are thought to influence hair shape. The samples were subsequently sequenced for the EDAR variant rs3827760 (chr2:g.108897145G&gt;C (hg38p.Val370Ala).<br>Malaysians (sample size: 99) from different ethnicities were recruited for this study and hair and saliva samples were collected from all the participants, after obtaining informed consent. DNA extracted from saliva samples was genotyped by sequencing a fragment of the PRSS53 gene and EDAR gene. The samples then underwent hair phenotype assessment using a scanning electron microscope (SEM). The images captured were measured for several parameters using ImageJ, and the measurements were tabulated. The SEM images and sequencing files are available with this data set. <br>Mouse hair samples were obtained from University of Edinburgh and Sanger Institute. These samples consist of a knockout, SAS specific variant and EAS specific variant strains, for the PRSS53 variants. Auchene hair samples were used for the SEM analysis, where the images were analysed with ImageJ, and the data tabulated.
DOI: 10.6084/m9.figshare.12051915.v1
title: Single-cell transcriptomics of mesenchymal stem/stromal cells from human umbilical cord

description: Mesenchymal stem/stromal cells (MSCs) demonstrate great therapeutic potential in regenerative medicine. However, the differences between the transcriptome of MSCs from umbilical cord tissue and in vitro cell culture at single-cell level remain elusive. We obtained a large-scale single-cell transcriptome of total 19221 single cells from human umbilical cord Wharton's jelly tissue and the matched culture-expanded MSCs from three donors to provide a high quality transcriptomic profiling dataset at single-cell resolution, which is a valuable resource for dissecting the MSCs heterogeneity, cell fate decision in native tissue niche and in vitro culture environment for specific lineages.
DOI: 10.6084/m9.figshare.12051501
title: Data.xlsx

description: Original dataset of Sekimon plot (Ogasawara Islands) in Abe et al.