cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9k2rjp
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna hainanensis Chun & F.C.How"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082088-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhek4f
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus brachypetala (Boiss.) Walp."
 ]
}

 The dataset includes 86 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082089-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmu73w
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria leleana Sohmer"
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082091-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkkbsa
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.50602 36.65304,-4.43719 36.65304,-4.43719 36.70732,-4.50602 36.70732,-4.50602 36.65304))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 625 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082090-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hx5kwm
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopodospermum inconspicuum (Lipsch.) Zaika, Sukhor. & N.Kilian"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082092-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xrac4
title: Occurrence Download

description: A dataset containing 6498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus santalinoides L'Hér. ex DC."
 ]
}

 The dataset includes 6498 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082093-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7aen5j
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystichum pycnopterum (Christ) Ching ex W.M.Chu & Z.R.He"
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082094-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjesef
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna hans-joachimii Verdc."
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082095-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y963aj
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus brachypoda Batalin"
 ]
}

 The dataset includes 744 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082096-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cvhnr
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria leleanoides Sohmer"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082097-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bad5me
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopodospermum lamellatum (Krasch.) Zaika, Sukhor. & N.Kilian"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082098-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2tsjh
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna henryana (Hand.-Mazz.) C.Y.Wu"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082100-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqvd2s
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystichum rapense E.D.Br."
 ]
}

 The dataset includes 44 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082099-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2z7jk
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus santalinus L.f."
 ]
}

 The dataset includes 224 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082101-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5ngz5
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus brachystachya Kalkman"
 ]
}

 The dataset includes 123 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082103-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p9mub
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria leonardiana E.M.A.Petit"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082104-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abhy8u
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopodospermum ovatum (Trautv.) Zaika, Sukhor. & N.Kilian"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082105-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s59u9y
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.50089 36.64127,-4.43194 36.64127,-4.43194 36.69508,-4.50089 36.69508,-4.50089 36.64127))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 598 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082106-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcsrwn
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna herbacea Roxb."
 ]
}

 The dataset includes 483 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082109-240321170329656/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.13346463
title: Additional file 3 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 3: Table S3. Samples for recognizing lymph node metastasis (LNM).
DOI: 10.6084/m9.figshare.13346457
title: Additional file 1 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 1: Table S1. All samples included in this study.
DOI: 10.6084/m9.figshare.13346463.v1
title: Additional file 3 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 3: Table S3. Samples for recognizing lymph node metastasis (LNM).
DOI: 10.6084/m9.figshare.13346481
title: Additional file 9 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 9: Table S9. Alternative splicing events and their coefficient in the prognostic model.
DOI: 10.6084/m9.figshare.13346457.v1
title: Additional file 1 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 1: Table S1. All samples included in this study.
DOI: 10.6084/m9.figshare.13346466
title: Additional file 4 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 4: Table S4. Information of samples included in the construction of prognostic model.
DOI: 10.6084/m9.figshare.13346469.v1
title: Additional file 5 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 5: Table S5. Feature importances and selection results presented by Boruta algorithm for the splicing events differentiating normal and tumor tissues.
DOI: 10.6084/m9.figshare.13346469
title: Additional file 5 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 5: Table S5. Feature importances and selection results presented by Boruta algorithm for the splicing events differentiating normal and tumor tissues.
DOI: 10.6084/m9.figshare.13346472.v1
title: Additional file 6 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 6: Table S6. Feature importances and selection results presented by Boruta algorithm for the classifier recognizing lymph node metastasis (LNM).
DOI: 10.6084/m9.figshare.13346478.v1
title: Additional file 8 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 8: Table S8. Survival-related alternative splicing events selected by random survival forest model.
DOI: 10.6084/m9.figshare.13346475
title: Additional file 7 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 7: Table S7. Unvariate Cox regression results.
DOI: 10.6084/m9.figshare.13346478
title: Additional file 8 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 8: Table S8. Survival-related alternative splicing events selected by random survival forest model.
DOI: 10.6084/m9.figshare.13346472
title: Additional file 6 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 6: Table S6. Feature importances and selection results presented by Boruta algorithm for the classifier recognizing lymph node metastasis (LNM).
DOI: 10.6084/m9.figshare.13346460
title: Additional file 2 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

description: Additional file 2: Table S2. Samples used for differentiating normal and tumor tissues.
DOI: 10.6084/m9.figshare.14919455.v1
title: Estimation of Knots in Linear Spline Models

description: The linear spline model is able to accommodate nonlinear effects while allowing for an easy interpretation. It has significant applications in studying threshold effects and change-points. However, its application in practice has been limited by the lack of both rigorously studied and computationally convenient method for estimating knots. A key difficulty in estimating knots lies in the nondifferentiability. In this article, we study influence functions of regular and asymptotically linear estimators for linear spline models using the semiparametric theory. Based on the theoretical development, we propose a simple semismooth estimating equation approach to circumvent the nondifferentiability issue using modified derivatives, in contrast to the previous smoothing-based methods. Without relying on any smoothing parameters, the proposed method is computationally convenient. To further improve numerical stability, a two-step algorithm taking advantage of the analytic solution available when knots are known is developed to solve the proposed estimating equation. Consistency and asymptotic normality are rigorously derived using the empirical process theory. Simulation studies have shown that the two-step algorithm performs well in terms of both statistical and computational properties and improves over existing methods. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.9692015
title: Additional file 3: of The altered gut virome community in rhesus monkeys is correlated with the gut bacterial microbiome and associated metabolites

description: Table S1. The reads number on the genus level in the gut bacterial communities in a longitudinal cohort treated with an antibiotic cocktail. (XLS 22 kb)
DOI: 10.6084/m9.figshare.9692015.v1
title: Additional file 3: of The altered gut virome community in rhesus monkeys is correlated with the gut bacterial microbiome and associated metabolites

description: Table S1. The reads number on the genus level in the gut bacterial communities in a longitudinal cohort treated with an antibiotic cocktail. (XLS 22 kb)
DOI: 10.6084/m9.figshare.9692027
title: Additional file 5: of The altered gut virome community in rhesus monkeys is correlated with the gut bacterial microbiome and associated metabolites

description: Table S2. The reads number on the family level in the gut virome communities in a longitudinal cohort treated with an antibiotic cocktail. (XLS 2 kb)
DOI: 10.6084/m9.figshare.9692027.v1
title: Additional file 5: of The altered gut virome community in rhesus monkeys is correlated with the gut bacterial microbiome and associated metabolites

description: Table S2. The reads number on the family level in the gut virome communities in a longitudinal cohort treated with an antibiotic cocktail. (XLS 2 kb)
DOI: 10.6084/m9.figshare.9692051
title: Additional file 8: of The altered gut virome community in rhesus monkeys is correlated with the gut bacterial microbiome and associated metabolites

description: Table S3. The reads number on the family level belong to bacteriophages and the eukaryotic viruses including DNA viruses and RNA viruses. (XLS 27 kb)
DOI: 10.6084/m9.figshare.9692051.v1
title: Additional file 8: of The altered gut virome community in rhesus monkeys is correlated with the gut bacterial microbiome and associated metabolites

description: Table S3. The reads number on the family level belong to bacteriophages and the eukaryotic viruses including DNA viruses and RNA viruses. (XLS 27 kb)
DOI: 10.6084/m9.figshare.9692087
title: Additional file 11: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S8. Differentially expressed genes (DEGs) in Plant hormone signal transduction pathway. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.9692087.v1
title: Additional file 11: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S8. Differentially expressed genes (DEGs) in Plant hormone signal transduction pathway. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.21200821
title: Additional file 2 of Repeated turnovers keep sex chromosomes young in willows

description: Additional file 2:Table S1-S13. Supplementary Tables.
DOI: 10.6084/m9.figshare.9692102
title: Additional file 13: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S9. GO classification analysis of DEPs as compared with all identified proteins. (XLSX 103 kb)
DOI: 10.6084/m9.figshare.9692102.v1
title: Additional file 13: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S9. GO classification analysis of DEPs as compared with all identified proteins. (XLSX 103 kb)
DOI: 10.6084/m9.figshare.9692105
title: Additional file 3: of Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance

description: Table S3. LC-MS/MS information about the proteins and corresponding peptides. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.9692105.v1
title: Additional file 3: of Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance

description: Table S3. LC-MS/MS information about the proteins and corresponding peptides. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.9692111
title: Additional file 4: of Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance

description: Table S4. SEPT9 related miRNA profile data from TCGA database (212 cases). (CSV 1240 kb)
DOI: 10.6084/m9.figshare.9692111.v1
title: Additional file 4: of Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance

description: Table S4. SEPT9 related miRNA profile data from TCGA database (212 cases). (CSV 1240 kb)
DOI: 10.6084/m9.figshare.9692114
title: Additional file 2: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S1. Summary of reads mapped toÂ reference genome. (XLS 25 kb)
DOI: 10.6084/m9.figshare.9692114.v1
title: Additional file 2: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S1. Summary of reads mapped toÂ reference genome. (XLS 25 kb)
DOI: 10.6084/m9.figshare.9692117
title: Additional file 5: of Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance

description: Table S5. The significant dysregulated miRNAs of SEPT9 related miRNA profile. (CSV 64 kb)
DOI: 10.6084/m9.figshare.9692117.v1
title: Additional file 5: of Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance

description: Table S5. The significant dysregulated miRNAs of SEPT9 related miRNA profile. (CSV 64 kb)
DOI: 10.6084/m9.figshare.9692120
title: Additional file 3: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S2. The quantification of gene expression. (XLSX 4617 kb)
DOI: 10.6084/m9.figshare.9692120.v1
title: Additional file 3: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S2. The quantification of gene expression. (XLSX 4617 kb)
DOI: 10.6084/m9.figshare.9692126
title: Additional file 4: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S3. Correlation analysis between replicates. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.9692126.v1
title: Additional file 4: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S3. Correlation analysis between replicates. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.9692132
title: Additional file 5: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S4. Analysis of differentially expressed genes (DEGs). (XLSX 2492 kb)
DOI: 10.6084/m9.figshare.9692132.v1
title: Additional file 5: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S4. Analysis of differentially expressed genes (DEGs). (XLSX 2492 kb)
DOI: 10.6084/m9.figshare.9692135
title: Additional file 6: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S5. A list of some differentially expressed genes (DEGs) with log2Ratioâ â Ľâ 10. (XLSX 45 kb)
DOI: 10.6084/m9.figshare.9692135.v1
title: Additional file 6: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S5. A list of some differentially expressed genes (DEGs) with log2Ratioâ â Ľâ 10. (XLSX 45 kb)
DOI: 10.6084/m9.figshare.9692138
title: Additional file 7: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S6. Total identified proteins of three biological replicates. (XLS 12639 kb)
DOI: 10.6084/m9.figshare.9692138.v1
title: Additional file 7: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S6. Total identified proteins of three biological replicates. (XLS 12639 kb)
DOI: 10.6084/m9.figshare.9692147
title: Additional file 9: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S7. Analysis of differentially expressed proteins (DEPs). (XLS 376 kb)
DOI: 10.6084/m9.figshare.13346601.v1
title: Additional file 4 of Proteomic signatures of 16 major types of human cancer reveal universal and cancer-type-specific proteins for the identification of potential therapeutic targets

description: Additional file 4: Table S3. Housekeeping proteins identified from tumor and normal samples related to Fig. 2 and Figure S2.
DOI: 10.6084/m9.figshare.9692147.v1
title: Additional file 9: of Integrative omics analysis on phytohormones involved in oil palm seed germination

description: Table S7. Analysis of differentially expressed proteins (DEPs). (XLS 376 kb)