cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20317804.v1
title: Additional file 1 of Heterogeneity in prevalence of subclinical Plasmodium falciparum and Plasmodium vivax infections but no parasite genomic clustering in the Chittagong Hill Tracts, Bangladesh

description: Additional file 1: Ethnicity, sex, age, and infection data for each participant; Haplotype data for P. vivax and P. falciparum.
DOI: 10.6084/m9.figshare.20317804
title: Additional file 1 of Heterogeneity in prevalence of subclinical Plasmodium falciparum and Plasmodium vivax infections but no parasite genomic clustering in the Chittagong Hill Tracts, Bangladesh

description: Additional file 1: Ethnicity, sex, age, and infection data for each participant; Haplotype data for P. vivax and P. falciparum.
DOI: 10.6084/m9.figshare.20317807
title: Additional file 2 of Heterogeneity in prevalence of subclinical Plasmodium falciparum and Plasmodium vivax infections but no parasite genomic clustering in the Chittagong Hill Tracts, Bangladesh

description: Additional file 2: R code used for haplotyping and statistical analysis.
DOI: 10.6084/m9.figshare.20317807.v1
title: Additional file 2 of Heterogeneity in prevalence of subclinical Plasmodium falciparum and Plasmodium vivax infections but no parasite genomic clustering in the Chittagong Hill Tracts, Bangladesh

description: Additional file 2: R code used for haplotyping and statistical analysis.
DOI: 10.6084/m9.figshare.11522175
title: Collaborative task scheduling with new task arrival in cloud manufacturing using improved multi-population biogeography-based optimization

description: This is the experimental data of the manuscript entitled "Collaborative task scheduling with new task arrival in cloud manufacturing using improved multi-population biogeography-based optimization". All data are generated through computer simulation and saved in the file with txt format. The data are consistent with the real-world case. The “illustrative case data.txt” is used in Section V.B as illustrative examples corresponding to table 1 and table 2, respectively. SS01-LS10 are used in Section V.C and SR01-LR10 are used in Section V.D.
DOI: 10.6084/m9.figshare.12046479
title: Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation

description: Circular RNAs (circRNAs) are an integral component of the host competitive endogenous RNA (ceRNA) network. These noncoding RNAs are characterized by their unique splicing reactions to form covalently closed loop structures and play important RNA regulatory roles in cells. Recent studies showed that circRNA expressions were perturbed in viral infections and circRNAs might serve as potential antiviral targets. We investigated the host ceRNA network changes and biological relevance of circRNAs in human lung adenocarcinoma epithelial (Calu-3) cells infected with the highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV). A total of ≥49337 putative circRNAs were predicted. Among the 7845 genes which generated putative circRNAs, 147 (1.9%) of them each generated ≥30 putative circRNAs and were involved in various biological, cellular, and metabolic processes, including viral infections. Differential expression (DE) analysis showed that the proportion of DE circRNAs significantly (<i>P</i> &lt; 0.001) increased at 24 h-post infection. These DE circRNAs were clustered into 4 groups according to their time-course expression patterns and demonstrated inter-cluster and intra-cluster variations in the predicted functions of their host genes. Our comprehensive circRNA-miRNA-mRNA network identified 7 key DE circRNAs involved in various biological processes upon MERS-CoV infection. Specific siRNA knockdown of two selected DE circRNAs (circFNDC3B and circCNOT1) significantly reduced MERS-CoV load and their target mRNA expression which modulates various biological pathways, including the mitogen-activated protein kinase (MAPK) and ubiquitination pathways. These results provided novel insights into the ceRNA network perturbations, biological relevance of circRNAs, and potential host-targeting antiviral strategies for MERS-CoV infection.
DOI: 10.6084/m9.figshare.12046479.v1
title: Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation

description: Circular RNAs (circRNAs) are an integral component of the host competitive endogenous RNA (ceRNA) network. These noncoding RNAs are characterized by their unique splicing reactions to form covalently closed loop structures and play important RNA regulatory roles in cells. Recent studies showed that circRNA expressions were perturbed in viral infections and circRNAs might serve as potential antiviral targets. We investigated the host ceRNA network changes and biological relevance of circRNAs in human lung adenocarcinoma epithelial (Calu-3) cells infected with the highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV). A total of ≥49337 putative circRNAs were predicted. Among the 7845 genes which generated putative circRNAs, 147 (1.9%) of them each generated ≥30 putative circRNAs and were involved in various biological, cellular, and metabolic processes, including viral infections. Differential expression (DE) analysis showed that the proportion of DE circRNAs significantly (<i>P</i> &lt; 0.001) increased at 24 h-post infection. These DE circRNAs were clustered into 4 groups according to their time-course expression patterns and demonstrated inter-cluster and intra-cluster variations in the predicted functions of their host genes. Our comprehensive circRNA-miRNA-mRNA network identified 7 key DE circRNAs involved in various biological processes upon MERS-CoV infection. Specific siRNA knockdown of two selected DE circRNAs (circFNDC3B and circCNOT1) significantly reduced MERS-CoV load and their target mRNA expression which modulates various biological pathways, including the mitogen-activated protein kinase (MAPK) and ubiquitination pathways. These results provided novel insights into the ceRNA network perturbations, biological relevance of circRNAs, and potential host-targeting antiviral strategies for MERS-CoV infection.
DOI: 10.6084/m9.figshare.12046479.v2
title: Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation

description: Circular RNAs (circRNAs) are an integral component of the host competitive endogenous RNA (ceRNA) network. These noncoding RNAs are characterized by their unique splicing reactions to form covalently closed loop structures and play important RNA regulatory roles in cells. Recent studies showed that circRNA expressions were perturbed in viral infections and circRNAs might serve as potential antiviral targets. We investigated the host ceRNA network changes and biological relevance of circRNAs in human lung adenocarcinoma epithelial (Calu-3) cells infected with the highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV). A total of ≥49337 putative circRNAs were predicted. Among the 7845 genes which generated putative circRNAs, 147 (1.9%) of them each generated ≥30 putative circRNAs and were involved in various biological, cellular, and metabolic processes, including viral infections. Differential expression (DE) analysis showed that the proportion of DE circRNAs significantly (<i>P</i> &lt; 0.001) increased at 24 h-post infection. These DE circRNAs were clustered into 4 groups according to their time-course expression patterns and demonstrated inter-cluster and intra-cluster variations in the predicted functions of their host genes. Our comprehensive circRNA-miRNA-mRNA network identified 7 key DE circRNAs involved in various biological processes upon MERS-CoV infection. Specific siRNA knockdown of two selected DE circRNAs (circFNDC3B and circCNOT1) significantly reduced MERS-CoV load and their target mRNA expression which modulates various biological pathways, including the mitogen-activated protein kinase (MAPK) and ubiquitination pathways. These results provided novel insights into the ceRNA network perturbations, biological relevance of circRNAs, and potential host-targeting antiviral strategies for MERS-CoV infection.
DOI: 10.6084/m9.figshare.12046479.v3
title: Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation

description: Circular RNAs (circRNAs) are an integral component of the host competitive endogenous RNA (ceRNA) network. These noncoding RNAs are characterized by their unique splicing reactions to form covalently closed loop structures and play important RNA regulatory roles in cells. Recent studies showed that circRNA expressions were perturbed in viral infections and circRNAs might serve as potential antiviral targets. We investigated the host ceRNA network changes and biological relevance of circRNAs in human lung adenocarcinoma epithelial (Calu-3) cells infected with the highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV). A total of ≥49337 putative circRNAs were predicted. Among the 7845 genes which generated putative circRNAs, 147 (1.9%) of them each generated ≥30 putative circRNAs and were involved in various biological, cellular, and metabolic processes, including viral infections. Differential expression (DE) analysis showed that the proportion of DE circRNAs significantly (<i>P</i> &lt; 0.001) increased at 24 h-post infection. These DE circRNAs were clustered into 4 groups according to their time-course expression patterns and demonstrated inter-cluster and intra-cluster variations in the predicted functions of their host genes. Our comprehensive circRNA-miRNA-mRNA network identified 7 key DE circRNAs involved in various biological processes upon MERS-CoV infection. Specific siRNA knockdown of two selected DE circRNAs (circFNDC3B and circCNOT1) significantly reduced MERS-CoV load and their target mRNA expression which modulates various biological pathways, including the mitogen-activated protein kinase (MAPK) and ubiquitination pathways. These results provided novel insights into the ceRNA network perturbations, biological relevance of circRNAs, and potential host-targeting antiviral strategies for MERS-CoV infection.
DOI: 10.6084/m9.figshare.12570770
title: The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading

description: Automated detection of exudates from fundus images plays an important role in diabetic retinopathy (DR) screening and evaluation, for which supervised or semi-supervised learning methods are typically preferred. However, a potential limitation of supervised and semi-supervised learning based detection algorithms is that they depend substantially on the sample size of training data and the quality of annotations, which is the fundamental motivation of this work. In this study, we construct a dataset containing 1219 fundus images (from DR patients and healthy controls) with annotations of exudate lesions. In addition to exudate annotations, we also provide four additional labels for each image: left-versus-right eye label, DR grade (severity scale) from three different grading protocols, the bounding box of the optic disc (OD), and fovea location. This dataset provides a great opportunity to analyze the accuracy and reliability of different exudate detection, OD detection, fovea localization, and DR classification algorithms. Moreover, it will facilitate the development of such algorithms in the realm of supervised and semi-supervised learning.<br>Users of this dataset are expected to cite the following paper in any research output generated from using this dataset as well as appropriately acknowledge the contributions of this dataset.--Li Lin, et al.: The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading, Scientific Data. <b> https://doi.org/10.1038/s41597-020-00755-0</b>
DOI: 10.6084/m9.figshare.19386536
title: source_data_and_codes

description: This repo contains the per-figure source data and codes to reproduce all plots represented in our manuscript. Each Figure panel was produced from individual plots using Adobe Illustrator (AI).
DOI: 10.6084/m9.figshare.12046551
title: Novel mutations in a Chinese family with two patients with succinic semialdehyde dehydrogenase deficiency

description: <b>Background:</b> A considerable proportion of pediatric disease burden is mainly caused by inborn errors of metabolism. Succinic semi-aldehyde dehydrogenase (SSADH) deficiency is an unusual disorder of the gamma-aminobutyric acid metabolism. Till date, very few cases have been reported in China. <b>Case presentation:</b> Trio-WES was used to characterize the <i>ALDH5A1</i> gene in two children of a Chinese family, who presented with seizures, psychomotor delay, development regression, borderline cognition, hypotonia, and harbored the compound heterozygotes NM_001080.3: c.1321G &gt; A (p. Gly441Arg) and c.727_735del (p. Leu243_Ser245del). The former has been reported earlier (rs1041467895), whereas the latter is novel. Amino acid coding at highly conserved amino acid residues was observed to be altered by both mutations. This structural impairment influenced the enzyme structure as indicated by the <i>in silico</i> protein modeling. Cerebral magnetic resonance imaging of the proband and her brother showed excessive gap in the cerebrum and abnormal signals in the bilateral frontal lobe, bilateral basal ganglia, and cerebral foot. Elevated levels of Gamma-hydroxybutyric aciduria were found in their patients on urine organic acid analysis. <b>Conclusion:</b> Our findings contribute to the current knowledge of missense and deletion mutations associated with SSADH deficiency.
DOI: 10.6084/m9.figshare.12046551.v1
title: Novel mutations in a Chinese family with two patients with succinic semialdehyde dehydrogenase deficiency

description: <b>Background:</b> A considerable proportion of pediatric disease burden is mainly caused by inborn errors of metabolism. Succinic semi-aldehyde dehydrogenase (SSADH) deficiency is an unusual disorder of the gamma-aminobutyric acid metabolism. Till date, very few cases have been reported in China. <b>Case presentation:</b> Trio-WES was used to characterize the <i>ALDH5A1</i> gene in two children of a Chinese family, who presented with seizures, psychomotor delay, development regression, borderline cognition, hypotonia, and harbored the compound heterozygotes NM_001080.3: c.1321G &gt; A (p. Gly441Arg) and c.727_735del (p. Leu243_Ser245del). The former has been reported earlier (rs1041467895), whereas the latter is novel. Amino acid coding at highly conserved amino acid residues was observed to be altered by both mutations. This structural impairment influenced the enzyme structure as indicated by the <i>in silico</i> protein modeling. Cerebral magnetic resonance imaging of the proband and her brother showed excessive gap in the cerebrum and abnormal signals in the bilateral frontal lobe, bilateral basal ganglia, and cerebral foot. Elevated levels of Gamma-hydroxybutyric aciduria were found in their patients on urine organic acid analysis. <b>Conclusion:</b> Our findings contribute to the current knowledge of missense and deletion mutations associated with SSADH deficiency.
DOI: 10.6084/m9.figshare.14143739
title: LncRNA NBR2 aggravates hepatoblastoma cell malignancy and promotes cell proliferation under glucose starvation through the miR-22/TCF7 axis

description: Hepatoblastoma (HB) is the most commonly seen pediatric liver malignancy. With frequent mutations in CTNNB1 gene that encodes β‐catenin, hepatoblastoma has been considered as a Wnt/β‐catenin‐activated malignant tumor. Altered glucose metabolism upon nutrient deprivation (glucose starvation) might also be a critical event in hepatoblastoma carcinogenesis. The present study provides a lncRNA NBR2/miR-22/TCF7 axis modulating proliferation, invasion, migration, and apoptosis of hepatoblastoma cells upon glucose starvation through Wnt and downstream TCF7 signaling pathways. The expression of NBR2 is significantly increased within hepatoblastoma tissue samples; moreover, under incubation with 0 mM glucose (glucose starvation), NBR2 expression is significantly upregulated. NBR2 silencing not only inhibited hepatoblastoma cell viability, invasion, and migration under normal culture condition but also promoted the cell apoptosis under glucose starvation. NBR2 silencing in hepatoblastoma cells also decreased TCF7 mRNA expression and TCF7 protein levels, as well as the protein levels of the cell cycle, glucose entrapment, and EMT markers. miR-22 is directly bound to both NBR2 and TCF7; lncRNA NBR2 counteracted miR-22-mediated repression on TCF7 via acting as a ceRNA. The effects of NBR2 silencing on TCF7 expression, hepatoblastoma cell phenotype, and cell cycle, glucose entrapment, and EMT markers were all significantly reversed by miR-22 inhibition. In conclusion, lncRNA NBR2 aggravates hepatoblastoma cell malignancy through competing with TCF7 for miR-22 binding, therefore counteracting miR-22-mediated repression on TCF7. LncRNA NBR2 might be a promising target to inhibit hepatoblastoma cell proliferation under glucose starvation.
DOI: 10.6084/m9.figshare.14143739.v1
title: LncRNA NBR2 aggravates hepatoblastoma cell malignancy and promotes cell proliferation under glucose starvation through the miR-22/TCF7 axis

description: Hepatoblastoma (HB) is the most commonly seen pediatric liver malignancy. With frequent mutations in CTNNB1 gene that encodes β‐catenin, hepatoblastoma has been considered as a Wnt/β‐catenin‐activated malignant tumor. Altered glucose metabolism upon nutrient deprivation (glucose starvation) might also be a critical event in hepatoblastoma carcinogenesis. The present study provides a lncRNA NBR2/miR-22/TCF7 axis modulating proliferation, invasion, migration, and apoptosis of hepatoblastoma cells upon glucose starvation through Wnt and downstream TCF7 signaling pathways. The expression of NBR2 is significantly increased within hepatoblastoma tissue samples; moreover, under incubation with 0 mM glucose (glucose starvation), NBR2 expression is significantly upregulated. NBR2 silencing not only inhibited hepatoblastoma cell viability, invasion, and migration under normal culture condition but also promoted the cell apoptosis under glucose starvation. NBR2 silencing in hepatoblastoma cells also decreased TCF7 mRNA expression and TCF7 protein levels, as well as the protein levels of the cell cycle, glucose entrapment, and EMT markers. miR-22 is directly bound to both NBR2 and TCF7; lncRNA NBR2 counteracted miR-22-mediated repression on TCF7 via acting as a ceRNA. The effects of NBR2 silencing on TCF7 expression, hepatoblastoma cell phenotype, and cell cycle, glucose entrapment, and EMT markers were all significantly reversed by miR-22 inhibition. In conclusion, lncRNA NBR2 aggravates hepatoblastoma cell malignancy through competing with TCF7 for miR-22 binding, therefore counteracting miR-22-mediated repression on TCF7. LncRNA NBR2 might be a promising target to inhibit hepatoblastoma cell proliferation under glucose starvation.
DOI: 10.48597/kqz4-ua2c
title: Heavy metals at Víznar

description: Measurement of Heavy metals at Víznar
DOI: 10.15468/dl.9tuvdy
title: Occurrence Download

description: A dataset containing 11543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Línea base general de recursos hidrobiológicos para el valle medio del Magdalena - VMM"
 ]
}

 The dataset includes 11543 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044346-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gz4jyn
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum tinctorium Aiton"
 ]
}

 The dataset's 1 records were derived from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108350-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4vo6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromista",
 "DecimalLatitude is greater than 37.2999558926785",
 "DecimalLatitude is less than 37.905285203307",
 "DecimalLongitude is greater than -110.387108032794",
 "DecimalLongitude is less than -109.574036719544"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005865-180824113759888/datasets/export for details.
DOI: 10.15468/dl.y5kw2h
title: Occurrence Download

description: A dataset containing 1402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "TaxonKey is Dendrobium Sw."
 ]
}

 The dataset includes 1402 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108372-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnntmg
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phenacoccus solani Ferris, 1918"
 ]
}

 The dataset includes 213 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048415-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t11du9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Wie viel Natur gibt es im Park?"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003071-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwut7s
title: Occurrence Download

description: A dataset containing 13602 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-75.27887 4.50121,-74.93124 4.50121,-74.93124 4.78223,-75.27887 4.78223,-75.27887 4.50121))"
 ]
}

 The dataset includes 13602 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008510-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ongqmg
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pottundkopp"
 ]
}

 The dataset includes 194 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003071-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3tdbe
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario virtual bosques secos de Colombia - Sección herbario ICESI"
 ]
}

 The dataset includes 2000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044418-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.