cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28776376
title: Securidacaxanthone D: a new xanthone with free radical scavenging activity from the roots of <i>Securidaca longepedunculata</i> (Polygalaceae)

description: A previously unpublished xanthone named securidacaxanthone D (<b>1</b>) and five known analogues: 1,7-dihydroxyxanthone (<b>2</b>), 7-hydroxy-1,2-dimethoxy­xanthone (<b>3</b>), 1,5-dihydroxy-6,7-dimethoxyxanthone (<b>4</b>), 1,7-dihydroxy-3-methoxyxanthone (<b>5</b>), 1,7-dihydroxy-4-methxyxanthone (<b>6</b>) were isolated from the ethyl acetate soluble fraction obtained from the liquid-liquid partition of the crude hydro-ethanolic extract of the roots of <i>Securidaca longipedunculata</i>. Their structures were determined by analysis of 1D -(<sup>1</sup>H and <sup>13</sup>C), 2D-(COSY, HSQC and HMBC) NMR data in conjunction with mass spectrometry (TOF-ESI-MS) and by comparison with reported data. Free radical scavenging activity were evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) as a free radical. Crude extract, ethyl acetate and <i>n</i>-butanol fractions as well as isolated compounds showed different degrees of free radical scavenging activity. Among the extract and fractions tested, the hydro-ethanolic extract was the most active with an IC<sub>50</sub> value of 32 μg/mL. Among the compounds, compound <b>2</b> was the most active with an IC<sub>50</sub> value of 282 μg/mL.
DOI: 10.6084/m9.figshare.28776376.v1
title: Securidacaxanthone D: a new xanthone with free radical scavenging activity from the roots of <i>Securidaca longepedunculata</i> (Polygalaceae)

description: A previously unpublished xanthone named securidacaxanthone D (<b>1</b>) and five known analogues: 1,7-dihydroxyxanthone (<b>2</b>), 7-hydroxy-1,2-dimethoxy­xanthone (<b>3</b>), 1,5-dihydroxy-6,7-dimethoxyxanthone (<b>4</b>), 1,7-dihydroxy-3-methoxyxanthone (<b>5</b>), 1,7-dihydroxy-4-methxyxanthone (<b>6</b>) were isolated from the ethyl acetate soluble fraction obtained from the liquid-liquid partition of the crude hydro-ethanolic extract of the roots of <i>Securidaca longipedunculata</i>. Their structures were determined by analysis of 1D -(<sup>1</sup>H and <sup>13</sup>C), 2D-(COSY, HSQC and HMBC) NMR data in conjunction with mass spectrometry (TOF-ESI-MS) and by comparison with reported data. Free radical scavenging activity were evaluated using 1,1-diphenyl-2-picrylhydrazyl (DPPH) as a free radical. Crude extract, ethyl acetate and <i>n</i>-butanol fractions as well as isolated compounds showed different degrees of free radical scavenging activity. Among the extract and fractions tested, the hydro-ethanolic extract was the most active with an IC<sub>50</sub> value of 32 μg/mL. Among the compounds, compound <b>2</b> was the most active with an IC<sub>50</sub> value of 282 μg/mL.
DOI: 10.6084/m9.figshare.23884364
title: Additional file 5 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 5: Table S4. Twenty-six lncRNAs involved in m6A/m5C/m1A score-related lncRNAs and DE-lncRNAs.
DOI: 10.6084/m9.figshare.23884364.v1
title: Additional file 5 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 5: Table S4. Twenty-six lncRNAs involved in m6A/m5C/m1A score-related lncRNAs and DE-lncRNAs.
DOI: 10.6084/m9.figshare.23884367
title: Additional file 6 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 6: Table S5. The total enriched terms of GSEA GO analysis between the low- and high-risk groups.
DOI: 10.6084/m9.figshare.23884367.v1
title: Additional file 6 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 6: Table S5. The total enriched terms of GSEA GO analysis between the low- and high-risk groups.
DOI: 10.6084/m9.figshare.23884373
title: Additional file 7 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 7: Table S6. The total enriched pathways of GSEA KEGG analysis between the low- and high-risk groups.
DOI: 10.6084/m9.figshare.23884373.v1
title: Additional file 7 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 7: Table S6. The total enriched pathways of GSEA KEGG analysis between the low- and high-risk groups.
DOI: 10.6084/m9.figshare.23884376
title: Additional file 8 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 8: Table S7. The three highest Pearson correlation results of immunoinfiltrated cells were associated with two RNA methylation-related lncRNAs.
DOI: 10.6084/m9.figshare.23884376.v1
title: Additional file 8 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 8: Table S7. The three highest Pearson correlation results of immunoinfiltrated cells were associated with two RNA methylation-related lncRNAs.
DOI: 10.15468/dl.nput2u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.005682 -33.822265, 148.005682 -33.824511, 148.007928 -33.824511, 148.007928 -33.826756, 148.01242 -33.826756, 148.01242 -33.822265, 148.005682 -33.822265))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069747-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.23884379
title: Additional file 9 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 9: Table S8. The results of predict miRNA-mRNA (Table S8) for each key lncRNA by the miRTarBase database.
DOI: 10.6084/m9.figshare.23884379.v1
title: Additional file 9 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 9: Table S8. The results of predict miRNA-mRNA (Table S8) for each key lncRNA by the miRTarBase database.
DOI: 10.6084/m9.figshare.23884382
title: Additional file 10 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 10: Table S9. The results of GO terms and KEGG pathways enrichment analysis.
DOI: 10.6084/m9.figshare.23884382.v1
title: Additional file 10 of Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

description: Additional file 10: Table S9. The results of GO terms and KEGG pathways enrichment analysis.
DOI: 10.60893/figshare.jcp.26409175.v1
title: Supplementary Data

description: Reference data for fitting.
DOI: 10.6084/m9.figshare.23896131
title: Additional file 2 of Serum proteomic identification and validation of two novel atherosclerotic aortic aneurysm biomarkers, profilin 1 and complement factor D

description: Additional file 2. List of proteins identified in the LDL, HDL, and protein fractions
DOI: 10.6084/m9.figshare.23896131.v1
title: Additional file 2 of Serum proteomic identification and validation of two novel atherosclerotic aortic aneurysm biomarkers, profilin 1 and complement factor D

description: Additional file 2. List of proteins identified in the LDL, HDL, and protein fractions
DOI: 10.6084/m9.figshare.23896092
title: Additional file 1 of Causal association between gut microbiota and intrahepatic cholestasis of pregnancy: mendelian randomization study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23896092.v1
title: Additional file 1 of Causal association between gut microbiota and intrahepatic cholestasis of pregnancy: mendelian randomization study

description: Supplementary Material 1
DOI: 10.48366/r722259
title: Comparison on Taxonomy expansion

description: comparing research papers that tackle the problem of taxonomy expansion
DOI: 10.6084/m9.figshare.23896120
title: Additional file 12 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 12: Table S1. Clinicopathological information of CMU glioma samples.
DOI: 10.6084/m9.figshare.23896120.v1
title: Additional file 12 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 12: Table S1. Clinicopathological information of CMU glioma samples.
DOI: 10.6084/m9.figshare.23896123
title: Additional file 13 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 13: Table S2. The DEGs between Cluster I and Cluster IV in the TCGA and CGGA 325 RNA-seq datasets.
DOI: 10.6084/m9.figshare.23896123.v1
title: Additional file 13 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 13: Table S2. The DEGs between Cluster I and Cluster IV in the TCGA and CGGA 325 RNA-seq datasets.
DOI: 10.6084/m9.figshare.23896126
title: Additional file 14 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 14: Table S3. Overlapping DEGs between Cluster I and Cluster IV in the TCGA and CGGA 325 RNA-seq datasets.
DOI: 10.6084/m9.figshare.23896126.v1
title: Additional file 14 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 14: Table S3. Overlapping DEGs between Cluster I and Cluster IV in the TCGA and CGGA 325 RNA-seq datasets.
DOI: 10.6084/m9.figshare.23896129
title: Additional file 15 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 15: Table S4. The RT-qPCR primer sequences and antibodies were used in this article.
DOI: 10.6084/m9.figshare.23896129.v1
title: Additional file 15 of Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma

description: Additional file 15: Table S4. The RT-qPCR primer sequences and antibodies were used in this article.
DOI: 10.6084/m9.figshare.23896165.v1
title: Additional file 1 of BRAF(V600E) mutation together with loss of Trp53 or pTEN drives the origination of hairy cell leukemia from B-lymphocytes

description: Additional file 1.
DOI: 10.5281/zenodo.13320074
title: Schmid et al. 2014, Supplementary material and FEM meshes

description: Supplementary material to "Inference of alveolar capillary network connectivity from blood flow dynamics"Kerstin Schmid, Andy L. Olivares, Oscar Camara, Wolfgang M. Kuebler, Matthias Ochs, Andreas C. Hocke, and Sabine C. Fischer

Content:



Supplementary material to the paper

Four exemplary meshes for Ansys fluent for



two different randomly generated alveolar capillary networks (A1 and A2)

with one arteriole (1a) and one venule (1v) each with diameter 20 µm 

as coarse (M) and as fine mesh (S).




All other meshes used in the publication are available from sabine.fischer@uni-wuerzburg.de
DOI: 10.5281/zenodo.13320075
title: Schmid et al. 2014, Supplementary material and FEM meshes

description: Supplementary material to "Inference of alveolar capillary network connectivity from blood flow dynamics"Kerstin Schmid, Andy L. Olivares, Oscar Camara, Wolfgang M. Kuebler, Matthias Ochs, Andreas C. Hocke, and Sabine C. Fischer

Content:



Supplementary material to the paper

Four exemplary meshes for Ansys fluent for



two different randomly generated alveolar capillary networks (A1 and A2)

with one arteriole (1a) and one venule (1v) each with diameter 20 µm 

as coarse (M) and as fine mesh (S).




All other meshes used in the publication are available from sabine.fischer@uni-wuerzburg.de
DOI: 10.6084/m9.figshare.23896165
title: Additional file 1 of BRAF(V600E) mutation together with loss of Trp53 or pTEN drives the origination of hairy cell leukemia from B-lymphocytes

description: Additional file 1.
DOI: 10.15468/dl.bdxsb4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron dutartrei Danet"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069748-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23896185
title: Additional file 1 of Temporal transcriptomic profiling elucidates sorghum defense mechanisms against sugarcane aphids

description: Additional file 1: Supplemental Table 1. Gene expression contrast analysis.
DOI: 10.6084/m9.figshare.23896185.v1
title: Additional file 1 of Temporal transcriptomic profiling elucidates sorghum defense mechanisms against sugarcane aphids

description: Additional file 1: Supplemental Table 1. Gene expression contrast analysis.
DOI: 10.6084/m9.figshare.23896188
title: Additional file 2 of Temporal transcriptomic profiling elucidates sorghum defense mechanisms against sugarcane aphids

description: Additional file 2: Supplemental Table 2. Mapping statistics.
DOI: 10.6084/m9.figshare.23896188.v1
title: Additional file 2 of Temporal transcriptomic profiling elucidates sorghum defense mechanisms against sugarcane aphids

description: Additional file 2: Supplemental Table 2. Mapping statistics.
DOI: 10.6084/m9.figshare.23896170
title: Additional file 2 of Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

description: Supplementary Material 2: Supplementary Table 1. Annotations for exclusive recurrent coding variants in [a] BD-cancer patients; [b] BD-only patients
DOI: 10.6084/m9.figshare.23896170.v1
title: Additional file 2 of Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

description: Supplementary Material 2: Supplementary Table 1. Annotations for exclusive recurrent coding variants in [a] BD-cancer patients; [b] BD-only patients
DOI: 10.6084/m9.figshare.23896173
title: Additional file 3 of Genomic variants exclusively identified in children with birth defects and concurrent malignant tumors predispose to cancer development

description: Supplementary Material 3: Supplementary Table 2. Corresponding genes from selected exclusive recurrent variants that overlapped with well-known pediatric cancer genes: [a] genes containing exclusive recurrent coding variants; [b] genes containing exclusive recurrent intronic variants; [c] genes containing exclusive recurrent 3’ UTR variants
DOI: 10.15468/dl.8rh2mn
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Ardeotis nigriceps (Vigors, 1831)"
 ]
}

 The dataset includes 105 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019668-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0193349.10fu
title: SH0193349.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193350.10fu
title: SH0193350.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193351.10fu
title: SH0193351.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193352.10fu
title: SH0193352.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193353.10fu
title: SH0193353.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193354.10fu
title: SH0193354.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193355.10fu
title: SH0193355.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.