cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28587184
title: Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 7. Summary of biomarker levels of patients and controls. A comparison between biomarker levels of AMD patients (n = 12) and controls (n = 21) was conducted. Parametric data underwent independent-means t-test, presented as arbitrary unit (AU) with mean (M) and standard deviation (SD). Non-parametric data was analysed by Wilcoxon’s rank-sum test, depicted as AU with median (Mdn) with first (Q1) and third (Q3) quartile. * P &lt; .050 represents significance.
DOI: 10.6084/m9.figshare.28587184.v1
title: Additional file 7 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 7. Summary of biomarker levels of patients and controls. A comparison between biomarker levels of AMD patients (n = 12) and controls (n = 21) was conducted. Parametric data underwent independent-means t-test, presented as arbitrary unit (AU) with mean (M) and standard deviation (SD). Non-parametric data was analysed by Wilcoxon’s rank-sum test, depicted as AU with median (Mdn) with first (Q1) and third (Q3) quartile. * P &lt; .050 represents significance.
DOI: 10.6084/m9.figshare.28587187
title: Additional file 8 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 8. Correlation of drusen volume and biomarker levels. Drusen volume and biomarker levels were correlated in the patient group using Spearman’s correlation with the correlation coefficient rS. * P &lt; .050 represents significance. n = 9.
DOI: 10.6084/m9.figshare.28587187.v1
title: Additional file 8 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 8. Correlation of drusen volume and biomarker levels. Drusen volume and biomarker levels were correlated in the patient group using Spearman’s correlation with the correlation coefficient rS. * P &lt; .050 represents significance. n = 9.
DOI: 10.6084/m9.figshare.28587190
title: Additional file 9 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 9. Correlation of age and biomarker levels. Age and biomarker levels were correlated in the whole proband group using Spearman’s correlation with the correlation coefficient rS. * P &lt; .050 represents significance. n = 33.
DOI: 10.6084/m9.figshare.28587190.v1
title: Additional file 9 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 9. Correlation of age and biomarker levels. Age and biomarker levels were correlated in the whole proband group using Spearman’s correlation with the correlation coefficient rS. * P &lt; .050 represents significance. n = 33.
DOI: 10.6084/m9.figshare.28587193
title: Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 10. Summary of biomarker levels of smokers and non-smokers. A comparison between biomarker levels of smokers (n = 11) and non-smokers, including former smokers, (n = 20) was conducted. The second tab shows the subgroup analysis of CCL7, IL-7, and IL-6 between smokers with and without AMD. Parametric data underwent independent-means t-test, presented as arbitrary unit (AU) with mean (M) and standard deviation (SD). Non-parametric data was analysed by Wilcoxon’s rank-sum test, depicted as AU with median (Mdn) with first (Q1) and third (Q3) quartile. * P &lt; .050 represents significance.
DOI: 10.6084/m9.figshare.28587193.v1
title: Additional file 10 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 10. Summary of biomarker levels of smokers and non-smokers. A comparison between biomarker levels of smokers (n = 11) and non-smokers, including former smokers, (n = 20) was conducted. The second tab shows the subgroup analysis of CCL7, IL-7, and IL-6 between smokers with and without AMD. Parametric data underwent independent-means t-test, presented as arbitrary unit (AU) with mean (M) and standard deviation (SD). Non-parametric data was analysed by Wilcoxon’s rank-sum test, depicted as AU with median (Mdn) with first (Q1) and third (Q3) quartile. * P &lt; .050 represents significance.
DOI: 10.6084/m9.figshare.28587196
title: Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 11. Summary of biomarker levels of females and males. A comparison between biomarker levels of females (n = 13) and males (n = 20) was conducted. Parametric data underwent independent-means t-test, presented as arbitrary unit (AU) with mean (M) and standard deviation (SD). Non-parametric data was analysed by Wilcoxon’s rank-sum test, depicted as AU with median (Mdn) with first (Q1) and third (Q3) quartile. * P &lt; .050 represents significance.
DOI: 10.6084/m9.figshare.28587196.v1
title: Additional file 11 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

description: Additional file 11. Summary of biomarker levels of females and males. A comparison between biomarker levels of females (n = 13) and males (n = 20) was conducted. Parametric data underwent independent-means t-test, presented as arbitrary unit (AU) with mean (M) and standard deviation (SD). Non-parametric data was analysed by Wilcoxon’s rank-sum test, depicted as AU with median (Mdn) with first (Q1) and third (Q3) quartile. * P &lt; .050 represents significance.
DOI: 10.6084/m9.figshare.28587206
title: Additional file 1 of Trading behavior-stock market volatility nexus among institutional and individual investors

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.28587206.v1
title: Additional file 1 of Trading behavior-stock market volatility nexus among institutional and individual investors

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.28587218
title: Additional file 2 of Increased phenotypic diversity as a consequence of ecological opportunity in the island radiation of Sulawesi ricefishes (Teleostei: Adrianichthyidae)

description: Supplementary Material 2: Suppl_Tab_2_Specimen_List.csv: Supplementary Table 2: Spreadsheet listing all museum material that was used for Geometric Morphometric analyses
DOI: 10.6084/m9.figshare.28587218.v1
title: Additional file 2 of Increased phenotypic diversity as a consequence of ecological opportunity in the island radiation of Sulawesi ricefishes (Teleostei: Adrianichthyidae)

description: Supplementary Material 2: Suppl_Tab_2_Specimen_List.csv: Supplementary Table 2: Spreadsheet listing all museum material that was used for Geometric Morphometric analyses
DOI: 10.6084/m9.figshare.28587226
title: Additional file 2 of Pseudonymization tools for medical research: a systematic review

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28587226.v1
title: Additional file 2 of Pseudonymization tools for medical research: a systematic review

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28587229
title: Additional file 3 of Pseudonymization tools for medical research: a systematic review

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28587229.v1
title: Additional file 3 of Pseudonymization tools for medical research: a systematic review

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28587227
title: Additional file 2 of Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia

description: Supplementary Material 2: Table S1
DOI: 10.6084/m9.figshare.28587230
title: Additional file 3 of Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia

description: Supplementary Material 3: Table S2
DOI: 10.6084/m9.figshare.28587230.v1
title: Additional file 3 of Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia

description: Supplementary Material 3: Table S2
DOI: 10.6084/m9.figshare.28587233
title: Additional file 4 of Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia

description: Supplementary Material 4: Table S3
DOI: 10.6084/m9.figshare.28587233.v1
title: Additional file 4 of Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia

description: Supplementary Material 4: Table S3
DOI: 10.6084/m9.figshare.28587245
title: Additional file 5 of Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia

description: Supplementary Material 5: Table S4
DOI: 10.6084/m9.figshare.28587251
title: Additional file 2 of Effect of particle characteristics on granular friction evaluated by dual-slip-plane friction tests

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.28587251.v1
title: Additional file 2 of Effect of particle characteristics on granular friction evaluated by dual-slip-plane friction tests

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.28587271
title: Additional file 1 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.28587271.v1
title: Additional file 1 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.28587274.v1
title: Additional file 2 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28587274
title: Additional file 2 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28587280
title: Additional file 3 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28587280.v1
title: Additional file 3 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28587283
title: Additional file 4 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28587283.v1
title: Additional file 4 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28587286
title: Additional file 5 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.28587289
title: Additional file 6 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.28587286.v1
title: Additional file 5 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.28587289.v1
title: Additional file 6 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.28587292
title: Additional file 7 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.28587292.v1
title: Additional file 7 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.28587295
title: Additional file 8 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.28587295.v1
title: Additional file 8 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.28587298
title: Additional file 9 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.28587298.v1
title: Additional file 9 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.28587301
title: Additional file 10 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.28587301.v1
title: Additional file 10 of Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.28587331
title: Additional file 5 of Analyzing dietary exposure to critical nutrients on a plant-based diet using the food- and total nutrient index

description: Supplementary Material 5. Code used for calculating the Total Nutrient Index (TNI).
DOI: 10.15468/dl.muq28d
title: Occurrence Download

description: A dataset containing 23904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zantedeschia aethiopica (L.) Spreng.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 23904 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006312-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wg96ra
title: Occurrence Download

description: A dataset containing 962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zapoteca portoricensis (Jacq.) H.M.Hern.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 962 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006313-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqvbg8
title: Occurrence Download

description: A dataset containing 195148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caradrina clavipalpis (Scopoli, 1763)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 195148 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006288-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14030066
title: Chromatin accessibility landscape of mouse early embryos revealed by single-cell NanoATAC-seq2

description: The chromatin accessibility assay using scNanoATAC-seq2 was conducted on the Oxford Nanopore (ONT) long-read sequencing platform and focused on samples related to mouse preimplantation development. These samples included preimplantation embryos, ranging from the zygote to the late blastocyst, as well as oocytes, granulosa cells, and naive mouse embryonic stem cells. The embryos were derived from crosses of C57xDBA, DBAxC57, and C57xCAST. Additionally, cell lines from humans and mice were assayed during the technical testing phase.

 

Note: In this dataset, 'pre-TE' denotes early trophectoderm (early TE), while 'TE' signifies late trophectoderm (late TE), as outlined in the main article.
DOI: 10.5281/zenodo.14030067
title: Chromatin accessibility landscape of mouse early embryos revealed by single-cell NanoATAC-seq2

description: The chromatin accessibility assay using scNanoATAC-seq2 was conducted on the Oxford Nanopore (ONT) long-read sequencing platform and focused on samples related to mouse preimplantation development. These samples included preimplantation embryos, ranging from the zygote to the late blastocyst, as well as oocytes, granulosa cells, and naive mouse embryonic stem cells. The embryos were derived from crosses of C57xDBA, DBAxC57, and C57xCAST. Additionally, cell lines from humans and mice were assayed during the technical testing phase.

 

Note: In this dataset, 'pre-TE' denotes early trophectoderm (early TE), while 'TE' signifies late trophectoderm (late TE), as outlined in the main article.
DOI: 10.6084/m9.figshare.28587347
title: Table S1

description: Supplementary Table 1. Proteins identified by LC-MS/MS analysis of GST-PHB2mMTS associated immunoprecipitates in S. aureus lysates.
DOI: 10.5281/zenodo.13941542
title: Asymmetric Synthesis of S(IV)-Stereogenic Sulfinimidate Esters by Sulfinamide Activation

description: This folder contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper

"Asymmetric Synthesis of S(IV)-Stereogenic Sulfinimidate Esters by Sulfinamide Activation"

Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...

The following are subfolders

/gas_phase/ -- DFT structures in the gas phase optimization (main methodology used in the paper)

/solv_phase/ -- DFT structures in the solvation phase optimization (for the study of ammonium intermediate formation step)
DOI: 10.5281/zenodo.13941543
title: Asymmetric Synthesis of S(IV)-Stereogenic Sulfinimidate Esters by Sulfinamide Activation

description: This folder contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper

"Asymmetric Synthesis of S(IV)-Stereogenic Sulfinimidate Esters by Sulfinamide Activation"

Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...

The following are subfolders

/gas_phase/ -- DFT structures in the gas phase optimization (main methodology used in the paper)

/solv_phase/ -- DFT structures in the solvation phase optimization (for the study of ammonium intermediate formation step)
DOI: 10.5281/zenodo.15015865
title: Supplementary tables for Burden of fire, heat, and hot substance-related injuries in 204 countries and territories, 1990-2021: insight from the Global Burden of Disease Study 2021

description: Table S1: National-level prevalence of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/). Table S2: National-level deaths of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/). Table S3: Nation-al-level Disability adjusted life years (DALYs) of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/).
DOI: 10.5281/zenodo.15015866
title: Supplementary tables for Burden of fire, heat, and hot substance-related injuries in 204 countries and territories, 1990-2021: insight from the Global Burden of Disease Study 2021

description: Table S1: National-level prevalence of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/). Table S2: National-level deaths of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/). Table S3: Nation-al-level Disability adjusted life years (DALYs) of fire, heat, and hot substance-related injuries in 2019 and 2021, with percentage change in age-standardized rates (ASRs per 100,000 population) from 1990 to 2021 (generated from data available at https://vizhub.healthdata.org/gbd-results/).
DOI: 10.6084/m9.figshare.28587359
title: Supplementary Material for: Clinicopathological significance of APC mutation in patient with colorectal cancer

description: Introduction: In colorectal cancer (CRC), the prognostic significance of Adenomatous polyposis coli (APC) mutations remains controversial. We aimed to investigate the effect of APC mutations on the prognosis of patients with CRC and to elucidate the clinicopathological features associated with these mutations.
Methods: Formalin-fixed, paraffin-embedded CRC specimens were tested for APC mutations using targeted next-generation sequencing, mismatch repair (MMR) deficiency was evaluated using immunohistochemical staining. Clinicopathological features were obtained from medical records and through a review of hematoxylin and eosin slides.
Results: APC mutations and MMR deficiencies were detected in 72.8% and 8.9% of the patients with CRC, respectively. APC mutations were significantly correlated with male sex (P = 0.046) and left colon cancer (P &lt; 0.001). They were inversely correlated with age (P = 0.020), serum 19-9 elevation (P = 0.047), distant metastasis (P = 0.005) and MMR deficiency (P &lt; 0001). In univariate analysis, APC mutations correlated with longer overall survival in patients with CRC. 
Conclusions: APC mutations are associated with favorable prognostic factors and longer overall survival. Further investigation is needed to understand the mechanisms of association between APC mutations to favorable cancer prognosis and their correlation MMR protein expression.