cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26688587
title: Additional file 1 of Holomics - a user-friendly R shiny application for multi-omics data integration and analysis

description: Additional file 1. The additional file (Additional file 1.zip) is a compressed folder containing four .csv files. Table S1: Targeted metabolite data, Table S2: Microbiomics ASV count table resulting from 16S amplicon sequencing, Table S3: Microbiomics ASV count table resulting from ITS amplicon sequencing, Table S4: Transcriptomics read count table (transposed format), and Table S5: Labels and class information including color code of the analyzed samples. Besides of being the data source for the present case study, these data tables can be used as test dataset after removal of the table header (first line). We highly recommend opening the files in a text editor of your choice and remove the headers there. When doing this step in Excel an error may occur.
DOI: 10.6084/m9.figshare.26688587.v1
title: Additional file 1 of Holomics - a user-friendly R shiny application for multi-omics data integration and analysis

description: Additional file 1. The additional file (Additional file 1.zip) is a compressed folder containing four .csv files. Table S1: Targeted metabolite data, Table S2: Microbiomics ASV count table resulting from 16S amplicon sequencing, Table S3: Microbiomics ASV count table resulting from ITS amplicon sequencing, Table S4: Transcriptomics read count table (transposed format), and Table S5: Labels and class information including color code of the analyzed samples. Besides of being the data source for the present case study, these data tables can be used as test dataset after removal of the table header (first line). We highly recommend opening the files in a text editor of your choice and remove the headers there. When doing this step in Excel an error may occur.
DOI: 10.58084/pyv7-z724
title: Randomised, double blind control trial of megestrol acetate, dexamethasone and placebo in the management of anorexia in people with cancer

description: HeSANDA 1.0.0
description: Data set includes: - One hundred and ninety participants were included in intention-to-treat analysis (61 receiving megestrol acetate, 67 receiving dexamethasone, and 62 receiving placebo) The treatment period was for four weeks whilst outpatient, with an optional extension for a further 4 weeks (still blinded), with four weeks of follow-up post treatment. Data available for Patient demographic information, medical history data, concurrent medications and baseline clinical measures. Primary outcome data measured as a change in appetite score on a Numeric Rating Scale for appetite at 1 week, at baseline and at one week after intervention commencement. Other data includes: Patient weight and rate of weight change (measured by Body Mass Index) At baseline and at one week after intervention commencement; Short and intermediate adverse effect profiles of megestrol acetate and dexamethasone using the National Institutes of Health Common Terminology Criteria for Adverse Event Assessment V3.0. At baseline and four weeks after intervention commencement; Relative costs of treatment of dexamethasone and megestrol acetate using Medicare Data 4 weeks after treatment commencement; Quality of life (measured by the European organization for Research and Treatment of Cancer- Quality of Life Questionnaire- core questions and the Functional assessment of appetite in cancer therapy) at baseline and 1 week after treatment commencement; Functional status (measured by the Australian Modified Karnofsky Performance Status, and the Eastern Co-operative Oncology Group scales) at baseline and 1 week after treatment commencement
DOI: 10.6084/m9.figshare.26610720
title: Additional file 2 of Implementation of the trial emulation approach in medical research: a scoping review

description: Additional file 2. Data. The file contains all the information extracted from the 38 reviewed studies.
DOI: 10.15468/dl.8vnghc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.515479 -32.753265, 148.515479 -32.757756, 148.522216 -32.757756, 148.522216 -32.753265, 148.515479 -32.753265)), ((148.522216 -32.757756, 148.522216 -32.764494, 148.526708 -32.764494, 148.526708 -32.760002, 148.528954 -32.760002, 148.528954 -32.757756, 148.522216 -32.757756)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067537-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26610720.v1
title: Additional file 2 of Implementation of the trial emulation approach in medical research: a scoping review

description: Additional file 2. Data. The file contains all the information extracted from the 38 reviewed studies.
DOI: 10.58084/7vg4-qk30
title: A randomised double-blind multi-site parallel arm controlled trial to assess relief of refractory breathlessness comparing fixed doses of morphine and placebo.

description: Data set includes individual participant data for 299 consenting participants. A total of 284 participants were randomised (145 to Morphine, 139 to Placebo, and a further 74 participants to the oxycodone arm. The oxycodone arm was later dropped due to recruitment difficulties). The data sets includes CSV files for screening and baseline, day 1 and day 7 outcome data, and 4 weeks of follow-up. Data is available for clincial investigations, demographic information, Functional assessment (AKPS and DES), Dyspnoea descriptors, Breathlessness scores (VAS, Likert, and mMRC), EORTC QLQ-C15, and Respiratory Disease Questionnaire, Global Impression of Change, Carer Quality of Life, Life Space Assessment, Health Service Utilisation, Symptoms and Adverse Events.
description: HeSANDA 1.0.0
DOI: 10.15468/dl.e4r6w5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Colección general del plantas vasculares del Herbario JBB, Harvard University Herbaria: All Records, University of South Florida Herbarium (USF), Geneva Herbarium – General Collection (G), The New York Botanical Garden Herbarium (NY), Colección de referencia del Herbario CUVC de la Universidad del Valle)",
 "OccurrenceStatus is Present",
 "TaxonKey is Selaginella exaltata (Kunze) Spring"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067538-240626123714530/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.26688653
title: Additional file 1 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26688653.v1
title: Additional file 1 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26688656
title: Additional file 2 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26688656.v1
title: Additional file 2 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26688659
title: Additional file 3 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26688659.v1
title: Additional file 3 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26688662
title: Additional file 4 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26688662.v1
title: Additional file 4 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26688665
title: Additional file 5 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26688665.v1
title: Additional file 5 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26688668
title: Additional file 6 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26688668.v1
title: Additional file 6 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26688671
title: Additional file 7 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.26688671.v1
title: Additional file 7 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.26688674.v1
title: Additional file 8 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.26688674
title: Additional file 8 of Integrated Metabolomic and transcriptomic analyses reveal deoxycholic acid promotes transmissible gastroenteritis virus infection by inhibiting phosphorylation of NF-κB and STAT3

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.26610729.v1
title: Additional file 1 of Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment

description: Additional file 1: Figure S1. Identification of tumor antigen genes associated with HCC prognosis in TCGA and meta cohorts. The KM curve of the overall survival for different group with different expression of (A) AURKA. (B) CCNB1. (C) CDK1. (D) KPNA2. (E) PRC1. (F) PTTG1. (G) UBE2S in TCGA cohorts. The KM curve of the disease free survival for different group with different expression of (H) AURKA. (I) CCNB1. (J) CDK1. (K) KPNA2. (L) PRC1. (M) PTTG1. (N) UBE2S in TCGA cohorts. The KM curve of the overall survival for different group with different expression of (O) AURKA (P) CCNB1 (Q) CDK1 (R) KPNA2 (S) PTTG1 (T) UBE2S in meta cohorts (TCGA + GEO). Figure S2. Antigten correlation Analysis of the Immune Microenvironment of Seven Potential Tumor Antigens, including tumor purity, B cell, CD8 + T cell, CD4 + T cell, Macrophage, Neutrophil, Dentritic cell. (A) AURKA. (B) CCNB1. (C) CDK1. (D) KPNA2. (E) PRC1. (F) PTTG1. (G) UBE2S. Figure S3. OS analysis for 28 Anoikis-related genes. Figure S4. PCA analysis for four cohorts. (A) PCA analysis of all genes in the TCGA cohort. (B) PCA analysis of anoikis-related genes in the TCGA cohort. (C) PCA analysis of anoikis-related lncRNAs in the TCGA cohort. (D) PCA analysis of anoikis-related risk lncRNAs in the TCGA cohort. Figure S5. (A) Forest plot of univariate analysis with risk score. (B) Forest plot of multivariate analysis with risk score. Figure S6. Survival curves of different clinical feature subgroups under ARG score for (A) patients with age &gt; 65 years (B) patients with age &lt;  = 65 (C) female patients subgroup (D) female patients subgroup (E) patients with G1-G2 subgroup (F) patients with G3-G4 subgroup (G) patients with M0 subgroup (H) patients with M1 subgroup (I) patients with Mx subgroup (J) patients with N0 subgroup (K) patients with Stage I subgroup (L) patients with Stage II subgroup (M) patients with Stage III-IV subgroup (N) patients with T1 subgroup (O) patients with T2 subgroup (P) patients with T3-T4 subgroup. Figure S7. The immune microenvironment analysis of high and low ARI score group in HCC. (A) ESTIMATEScores, (B) ImmuneScores, (C) StromalScores and (D) TumorPurity. Figure S8. Sensitivity for 16 representative chemotherapeutic agents based on ARI score.
DOI: 10.6084/m9.figshare.26610729
title: Additional file 1 of Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment

description: Additional file 1: Figure S1. Identification of tumor antigen genes associated with HCC prognosis in TCGA and meta cohorts. The KM curve of the overall survival for different group with different expression of (A) AURKA. (B) CCNB1. (C) CDK1. (D) KPNA2. (E) PRC1. (F) PTTG1. (G) UBE2S in TCGA cohorts. The KM curve of the disease free survival for different group with different expression of (H) AURKA. (I) CCNB1. (J) CDK1. (K) KPNA2. (L) PRC1. (M) PTTG1. (N) UBE2S in TCGA cohorts. The KM curve of the overall survival for different group with different expression of (O) AURKA (P) CCNB1 (Q) CDK1 (R) KPNA2 (S) PTTG1 (T) UBE2S in meta cohorts (TCGA + GEO). Figure S2. Antigten correlation Analysis of the Immune Microenvironment of Seven Potential Tumor Antigens, including tumor purity, B cell, CD8 + T cell, CD4 + T cell, Macrophage, Neutrophil, Dentritic cell. (A) AURKA. (B) CCNB1. (C) CDK1. (D) KPNA2. (E) PRC1. (F) PTTG1. (G) UBE2S. Figure S3. OS analysis for 28 Anoikis-related genes. Figure S4. PCA analysis for four cohorts. (A) PCA analysis of all genes in the TCGA cohort. (B) PCA analysis of anoikis-related genes in the TCGA cohort. (C) PCA analysis of anoikis-related lncRNAs in the TCGA cohort. (D) PCA analysis of anoikis-related risk lncRNAs in the TCGA cohort. Figure S5. (A) Forest plot of univariate analysis with risk score. (B) Forest plot of multivariate analysis with risk score. Figure S6. Survival curves of different clinical feature subgroups under ARG score for (A) patients with age &gt; 65 years (B) patients with age &lt;  = 65 (C) female patients subgroup (D) female patients subgroup (E) patients with G1-G2 subgroup (F) patients with G3-G4 subgroup (G) patients with M0 subgroup (H) patients with M1 subgroup (I) patients with Mx subgroup (J) patients with N0 subgroup (K) patients with Stage I subgroup (L) patients with Stage II subgroup (M) patients with Stage III-IV subgroup (N) patients with T1 subgroup (O) patients with T2 subgroup (P) patients with T3-T4 subgroup. Figure S7. The immune microenvironment analysis of high and low ARI score group in HCC. (A) ESTIMATEScores, (B) ImmuneScores, (C) StromalScores and (D) TumorPurity. Figure S8. Sensitivity for 16 representative chemotherapeutic agents based on ARI score.
DOI: 10.6084/m9.figshare.26610732
title: Additional file 2 of Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment

description: Additional file 2: Table S1. Gene lists for Venn Plot. Table S2. Univariate analysis for 28 differential ARGs. Table S3. ARG cluster in meta cohorts. Table S4. GO analysis. Table S5. KEGG analysis. Table S6. ARG genes cluster. Table S7. Tumor microenvironment score between ARG cluster in meta cohorts: StromalScore, ImmuneScore, ESTIMATEScore and TumorPurity. Table S8. Coefficient of ARI signature models. Table S9. Univariate and multivariate analysis of ARI score and other clinical characteristics. Table S10. Tumor microenvironment score between ARI cluster in meta cohorts: StromalScore, ImmuneScore, ESTIMATEScore and TumorPurity. Table S11. Summary of Packages and statistical analysis.
DOI: 10.6084/m9.figshare.26610732.v1
title: Additional file 2 of Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment

description: Additional file 2: Table S1. Gene lists for Venn Plot. Table S2. Univariate analysis for 28 differential ARGs. Table S3. ARG cluster in meta cohorts. Table S4. GO analysis. Table S5. KEGG analysis. Table S6. ARG genes cluster. Table S7. Tumor microenvironment score between ARG cluster in meta cohorts: StromalScore, ImmuneScore, ESTIMATEScore and TumorPurity. Table S8. Coefficient of ARI signature models. Table S9. Univariate and multivariate analysis of ARI score and other clinical characteristics. Table S10. Tumor microenvironment score between ARI cluster in meta cohorts: StromalScore, ImmuneScore, ESTIMATEScore and TumorPurity. Table S11. Summary of Packages and statistical analysis.
DOI: 10.15468/dl.dh2fkt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.719846 -32.748773, 148.719846 -32.751019, 148.717601 -32.751019, 148.717601 -32.753265, 148.713109 -32.753265, 148.713109 -32.760002, 148.719846 -32.760002, 148.719846 -32.753265, 148.722092 -32.753265, 148.722092 -32.751019, 148.726584 -32.751019, 148.726584 -32.748773, 148.719846 -32.748773)), ((148.722092 -32.753265, 148.722092 -32.757756, 148.724338 -32.757756, 148.724338 -32.75551, 148.72883 -32.75551, 148.72883 -32.753265, 148.722092 -32.753265)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067539-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26572771
title: Additional file 1 of Temperament and longitudinal changes in physical activity – the Northern Finland Birth Cohort 1966 Study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26572771.v1
title: Additional file 1 of Temperament and longitudinal changes in physical activity – the Northern Finland Birth Cohort 1966 Study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26572783
title: Additional file 4 of Temperament and longitudinal changes in physical activity – the Northern Finland Birth Cohort 1966 Study

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26572783.v1
title: Additional file 4 of Temperament and longitudinal changes in physical activity – the Northern Finland Birth Cohort 1966 Study

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26688749
title: Additional file 2 of Yeast mannan rich fraction positively influences microbiome uniformity, productivity associated taxa, and lay performance

description: Additional file 2. SI Tables.
DOI: 10.6084/m9.figshare.26688749.v1
title: Additional file 2 of Yeast mannan rich fraction positively influences microbiome uniformity, productivity associated taxa, and lay performance

description: Additional file 2. SI Tables.
DOI: 10.58084/xcp3-4d44
title: A randomised, double-blind placebo controlled study of subcutaneous ketamine in the management of cancer pain
title: Ketamine study (001/07)

description: Dataset includes: - data for 185 participants with pain caused by cancer (93 allocated to Ketamine, 92 allocated to placebo). Treatment period over 5 days, with follow-up for 4 weeks post treatment. Data available for demographic data, primary outcome as Brief Pain Inventory score, quality of life (as EORTC QLQ -C30 and FACIT-PAL), performance status (as AKPS), opioid use, Global Impression of Change, adverse events (as NCI CTCAE V3.0), carer QOL (as Caregiver QOLC), Medicare Australia data, and survival.
description: HeSANDA 1.0.0
DOI: 10.15468/dl.7mspd7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.495267 -32.75551, 148.495267 -32.757756, 148.497512 -32.757756, 148.497512 -32.75551, 148.495267 -32.75551))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067540-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26610911
title: Additional file 2 of A pediatric virtual care evaluation framework and its evolution using consensus methods

description: Additional file 2. Virtual Care Evaluation Framework.
DOI: 10.15468/dl.pguftn
title: Occurrence Download

description: A dataset containing 718467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is March",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2022-2022"
 ]
}

 The dataset includes 718467 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021633-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfwj68
title: Occurrence Download

description: A dataset containing 337788 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilosella officinarum Vaill."
 ]
}

 The dataset includes 337788 records from 1377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021635-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arteud
title: Occurrence Download

description: A dataset containing 314183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2021-2021"
 ]
}

 The dataset includes 314183 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021630-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfddcp
title: Occurrence Download

description: A dataset containing 22126624 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passer domesticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 22126624 records from 5181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021636-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.