cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24241171
title: Supplementary Material for: Assessment of micronuclei frequency in the peripheral blood of adult and pediatric patients receiving fractionated total body irradiation

description: The cytokinesis-block micronucleus (CBMN) assay is an established method for assessing chromosome damage in human peripheral blood lymphocytes resulting from exposure to genotoxic agents such as ionizing radiation. The objective of this study is to measure cytogenetic DNA damage and hematology parameters in vivo based on MN frequency in peripheral blood lymphocytes (PBLs) from adult and pediatric leukemia patients undergoing hematopoietic stem cell transplantation preceded by total body irradiation (TBI) as part of the conditioning regimen. CBMN assay cultures were prepared from fresh blood samples collected before and at 4- and 24- h after the start of TBI, corresponding to doses of 1.25 Gy and 3.75 Gy, respectively. For both age groups, there was a significant increase in MN yields with increasing dose (p &lt; 0.05) and dose-dependent decrease in the nuclear division index (NDI; p &lt; 0.0001). In the pre-radiotherapy samples, there was a significantly higher NDI measured in the pediatric cohort compared to the adult due to an increase in the percentage of tri- and quadra-nucleated cells scored. Complete blood counts with differential recorded before and after TBI at the 24 h time point, showed a rapid increase in neutrophil (p = 0.0001) and decrease in lymphocyte (p = 0.0006) counts, resulting in a highly elevated neutrophil-to-lymphocyte (NRL) ratio of 14.45 ± 1.85 after 3.75 Gy TBI (pre-exposure = 4.62 ± 0.49), indicating a strong systemic inflammatory response. Correlation of the hematological cell subset counts with cytogenetic damage, indicated that only the lymphocyte subset survival fraction (after-TBI compared with before-TBI) showed a negative correlation with increasing MN frequency from 0 to 1.25 Gy (r = -0.931; p = 0.007). Further, the data presented here indicate that the combination of CBMN assay endpoints (MN frequency and NDI values) and hematology parameters could be used to assess cytogenetic damage and early hematopoietic injury in the peripheral blood of leukemia patients, 24 h after TBI exposure
DOI: 10.6084/m9.figshare.24241171.v1
title: Supplementary Material for: Assessment of micronuclei frequency in the peripheral blood of adult and pediatric patients receiving fractionated total body irradiation

description: The cytokinesis-block micronucleus (CBMN) assay is an established method for assessing chromosome damage in human peripheral blood lymphocytes resulting from exposure to genotoxic agents such as ionizing radiation. The objective of this study is to measure cytogenetic DNA damage and hematology parameters in vivo based on MN frequency in peripheral blood lymphocytes (PBLs) from adult and pediatric leukemia patients undergoing hematopoietic stem cell transplantation preceded by total body irradiation (TBI) as part of the conditioning regimen. CBMN assay cultures were prepared from fresh blood samples collected before and at 4- and 24- h after the start of TBI, corresponding to doses of 1.25 Gy and 3.75 Gy, respectively. For both age groups, there was a significant increase in MN yields with increasing dose (p &lt; 0.05) and dose-dependent decrease in the nuclear division index (NDI; p &lt; 0.0001). In the pre-radiotherapy samples, there was a significantly higher NDI measured in the pediatric cohort compared to the adult due to an increase in the percentage of tri- and quadra-nucleated cells scored. Complete blood counts with differential recorded before and after TBI at the 24 h time point, showed a rapid increase in neutrophil (p = 0.0001) and decrease in lymphocyte (p = 0.0006) counts, resulting in a highly elevated neutrophil-to-lymphocyte (NRL) ratio of 14.45 ± 1.85 after 3.75 Gy TBI (pre-exposure = 4.62 ± 0.49), indicating a strong systemic inflammatory response. Correlation of the hematological cell subset counts with cytogenetic damage, indicated that only the lymphocyte subset survival fraction (after-TBI compared with before-TBI) showed a negative correlation with increasing MN frequency from 0 to 1.25 Gy (r = -0.931; p = 0.007). Further, the data presented here indicate that the combination of CBMN assay endpoints (MN frequency and NDI values) and hematology parameters could be used to assess cytogenetic damage and early hematopoietic injury in the peripheral blood of leukemia patients, 24 h after TBI exposure
DOI: 10.4121/8ca918e1-4423-499e-be19-174562fa6973
title: Data underlying the publication: Planar Delamination of CFRP Panels under Quasi-static Out-of-plane Indentation

description: The uploaded dataset collects test data related to planar delamination under quasi-static out-of-plane indentation. It includes essential components such as force-displacement data obtained from the MTS machine, as well as information on compliance/stiffness variations. A set of images used for 3D DIC analysis, facilitating the extraction of out-of-plane deflection, surface strains, and curvatures, is also provided. Moreover, ultrasound scanning images are also provided for measurement of delamination area. Additionally, an acoustic emission dataset is provided for the purpose of monitoring delamination initiation, and possibly for identifying damage modes and damage states.This comprehensive dataset has been made accessible to the research community, serving as a resource for researchers to incorporate into their own research endeavors.
DOI: 10.4121/8ca918e1-4423-499e-be19-174562fa6973.v2
title: Data underlying the publication: Planar Delamination of CFRP Panels under Quasi-static Out-of-plane Indentation

description: The uploaded dataset collects test data related to planar delamination under quasi-static out-of-plane indentation. It includes essential components such as force-displacement data obtained from the MTS machine, as well as information on compliance/stiffness variations. A set of images used for 3D DIC analysis, facilitating the extraction of out-of-plane deflection, surface strains, and curvatures, is also provided. Moreover, ultrasound scanning images are also provided for measurement of delamination area. Additionally, an acoustic emission dataset is provided for the purpose of monitoring delamination initiation, and possibly for identifying damage modes and damage states.This comprehensive dataset has been made accessible to the research community, serving as a resource for researchers to incorporate into their own research endeavors.
DOI: 10.4121/6371fb1e-1a0c-467a-b290-570a417f6885
title: Publications and filtering decisions for the systematic literature review in "Towards a Common Definition of Open Data Intermediaries"

description: This file contains the list of publications and filtering decisions of the systematic literature review conducted for the article "Towards a common definition of open data intermediaries" published in the Digital Government: Research and Practice (DGOV) journal (https://doi.org/10.1145/3585537). The literature search was done on 1 June 2022 and there was no start date set (i.e. all relevant literature up to 1 June 2022 was included).<br>There are 4 documents in this folder (apart from README text describing the data in each document):1. Stage-0 Search results2. Stage-1 Remove redundant3. Stage-2 Remove irrelevant4. Stage-3 Final filtering<br>The authors acknowledge the financial support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 955569, "Towards a sustainable Open Data ECOsystem" (ODECO).
DOI: 10.4121/6371fb1e-1a0c-467a-b290-570a417f6885.v1
title: Publications and filtering decisions for the systematic literature review in "Towards a Common Definition of Open Data Intermediaries"

description: This file contains the list of publications and filtering decisions of the systematic literature review conducted for the article "Towards a common definition of open data intermediaries" published in the Digital Government: Research and Practice (DGOV) journal (https://doi.org/10.1145/3585537). The literature search was done on 1 June 2022 and there was no start date set (i.e. all relevant literature up to 1 June 2022 was included).<br>There are 4 documents in this folder (apart from README text describing the data in each document):1. Stage-0 Search results2. Stage-1 Remove redundant3. Stage-2 Remove irrelevant4. Stage-3 Final filtering<br>The authors acknowledge the financial support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 955569, "Towards a sustainable Open Data ECOsystem" (ODECO).
DOI: 10.6084/m9.figshare.24241129
title: <b>Finding their voice: how do consumers experience a community-based transition care program?</b>

description: Qualitative interviewing study with community-based older people and caregivers accessing a community-based healthcare program designed to expedite hospital discharge and restorative health and social care at home. Supplemental material comprises interview guide S1, coding structure of qualitative data analysis (S2-3), and mapping exercise of data categories to person-centred care (S4-5). Also included is COREQ S6 that guided conduct of this study.
DOI: 10.6084/m9.figshare.24241129.v1
title: <b>Finding their voice: how do consumers experience a community-based transition care program?</b>

description: Qualitative interviewing study with community-based older people and caregivers accessing a community-based healthcare program designed to expedite hospital discharge and restorative health and social care at home. Supplemental material comprises interview guide S1, coding structure of qualitative data analysis (S2-3), and mapping exercise of data categories to person-centred care (S4-5). Also included is COREQ S6 that guided conduct of this study.
DOI: 10.6084/m9.figshare.23598732
title: <strong>Single-Cell Reconstruction and Mutation Enrichment Analysis Identifies Dysregulated Cardiomyocyte and Endothelial Cells in Congenital Heart Disease</strong>

description: Supp. Table 1: A reference list of 29 studies published between January 2000 and December 2020 that formed the basis of the CHD variant database.Supp. Table 2: A database of 16,349 CHD-associated genetic variants.Supp. Table 3: Classification of priority genes based on its functional annotation.Supp Table 4: CHD genes from literature, CHDgene and OMIM database.Supp. Table 5: Gene enrichment analysis network.
DOI: 10.6084/m9.figshare.23598732.v3
title: <strong>Single-Cell Reconstruction and Mutation Enrichment Analysis Identifies Dysregulated Cardiomyocyte and Endothelial Cells in Congenital Heart Disease</strong>

description: Supp. Table 1: A reference list of 29 studies published between January 2000 and December 2020 that formed the basis of the CHD variant database.Supp. Table 2: A database of 16,349 CHD-associated genetic variants.Supp. Table 3: Classification of priority genes based on its functional annotation.Supp Table 4: CHD genes from literature, CHDgene and OMIM database.Supp. Table 5: Gene enrichment analysis network.
DOI: 10.5281/zenodo.8320820
title: Endothelial barrier dysfunction in systemic inflammation is mediated by soluble VE-cadherin interfering VE-PTP signalling

description: Original dataset for publication in iScience
DOI: 10.5281/zenodo.8320819
title: Endothelial barrier dysfunction in systemic inflammation is mediated by soluble VE-cadherin interfering VE-PTP signalling

description: Original dataset for publication in iScience
DOI: 10.5281/zenodo.7825679
title: qechairquality: Air Quality Data at Queen Elizabeth Central Hospital (QECH), Blantyre, Malawi.

description: Air quality data with measurements in 5-minute intervals for particulate matter (PM 2.5 & PM 10) at eight sensor locations over two months at Queen Elizabeth Central Hospital (QECH) in Blantyre, Malawi.
description: Visit the website of this dataset for instructions how to use it: https://global-health-engineering.github.io/qechairquality/
DOI: 10.5281/zenodo.7825678
title: qechairquality: Air Quality Data at Queen Elizabeth Central Hospital (QECH), Blantyre, Malawi.

description: Air quality data with measurements in 5-minute intervals for particulate matter (PM 2.5 & PM 10) at eight sensor locations over two months at Queen Elizabeth Central Hospital (QECH) in Blantyre, Malawi.
description: Visit the website of this dataset for instructions how to use it: https://global-health-engineering.github.io/qechairquality/
DOI: 10.5281/zenodo.8303785
title: DISPLACE Corpus

description: The DISPLACE challenge entailed a first of kind task to perform speaker and language diarization on the same data, <br> as the data contains multi-speaker social conversations in multi-lingual code-mixed speech. In multi-lingual communities, <br> social conversations frequently involve code-mixed and code-switched speech. In such cases, various speech processing <br> systems need to perform the speaker and language segmentation before any downstream task. The current speaker diarization <br> systems are not equipped to handle multi-lingual conversations, while the language recognition systems may not be able to <br> handle the same talker speaking in multiple languages within the same recording. With this motivation, the DISPLACE challenge <br> addressed Speaker Diarization (SD) in multi-lingual settings and Language Diarization (LD) in multi-speaker settings, using <br> the same underlying dataset. For this challenge, a natural multi-lingual, multi-speaker conversational dataset was distributed. More details about the dataset can be found at https://www.isca-speech.org/archive/pdfs/interspeech_2023/baghel23_interspeech.pdf <br>
DOI: 10.6084/m9.figshare.24241240
title: Supplementary Material for: Seroprevalence of Enterovirus D68 infection among humans: A systematic review and meta-analysis

description: Introduction : Human enterovirus D68 (EV-D68), which belongs to enteroviruses of the small RNA family, is a type of enterovirus that can cause acute respiratory tract infection and central nervous system diseases. This study systematically analysed and summarized EV-D68 antibody studies in databases and identified the seropositivity rates of different regions, ages, and sexes. Methods: Meta-analysis was performed using STATA 16.0 software. I2 and Q tests were used to analyse the heterogeneity of the included studies. Meta-regression analysis was performed for different groups, and Egger's linear regression analysis was used to evaluate publication bias. Results: The results of multiple studies indicated that the serological prevalence range of EV-D68 antibody was 17.78%-96.69%. The results of the meta-analysis showed that the seropositivity rate of EV-D68 antibody was 76% (95% CI: 67%-84%), among which that of the Chinese population was 74% (95% CI: 61%-86%) and that of other countries was 79% (95% CI: 65%-91%). At the same time, a subgroup analysis was conducted. The seroprevalence of EV-D68 antibody was related to age but not sex or region. Conclusion: The seropositivity rate was lower in the below 5 years age group; however, it gradually increased with age. The results of this study showed that EV-D68 infection was widespread in the population, and the current clinical infection situation could not reflect the actual epidemic situation of the virus, among which children under 5 years old were vulnerable to infection, which should be given greater attention for epidemic prevention and control.
DOI: 10.6084/m9.figshare.24241246
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.6084/m9.figshare.24241246.v1
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.6084/m9.figshare.24241255
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.6084/m9.figshare.24241255.v1
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology