cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9973898.v1
title: MOESM4 of IMP-ICDX: an injury mortality prediction based on ICD-10-CM codes

description: Additional file 4. WMDP values of different ICD-10-CM injury codes. (XLS 1135 kb)
DOI: 10.6084/m9.figshare.9973910
title: Additional file 1: of Genomic changes and biochemical alterations of seed protein and oil content in a subset of fast neutron induced soybean mutants

description: Table S1. Peptide spectral used to identify the proteins. (RTF 401 kb)
DOI: 10.6084/m9.figshare.9973910.v1
title: Additional file 1: of Genomic changes and biochemical alterations of seed protein and oil content in a subset of fast neutron induced soybean mutants

description: Table S1. Peptide spectral used to identify the proteins. (RTF 401 kb)
DOI: 10.6084/m9.figshare.9973916
title: Additional file 2: of Genomic changes and biochemical alterations of seed protein and oil content in a subset of fast neutron induced soybean mutants

description: Table S2. A list of genes deletion and or duplication in the ten mutants. (XLSX 173 kb)
DOI: 10.6084/m9.figshare.9973916.v1
title: Additional file 2: of Genomic changes and biochemical alterations of seed protein and oil content in a subset of fast neutron induced soybean mutants

description: Table S2. A list of genes deletion and or duplication in the ten mutants. (XLSX 173 kb)
DOI: 10.34740/kaggle/dsv/7562851
title: Mahanagar Yatayat Transport Dataset
DOI: 10.34740/kaggle/dsv/7562877
title: MoviesDatasets
DOI: 10.6084/m9.figshare.22032584
title: Identification of stemness subtypes and features to improve endometrial cancer treatment using machine learning

description: Endometrial cancer is one of the most common malignant tumours in women, and cancer stem cells are known to play an important role in its growth, invasion, metastasis, and drug resistance. Immunotherapy for endometrial cancer is still under research. In this study, a total of 547 endometrial cancer cases were randomly divided into training set (351 cases) set and test set (196 cases). The stemness index of patients was calculated using the One-Class Logistic Regression (OCLR) machine learning algorithm to explore the clinicopathological differences between index levels. Stemness subtypes were determined according to the characteristics of cancer stemness and their clinicopathological characteristics, immune features, and therapeutic effects were described. Our study suggests that endometrial cancer is classified into two stemness subtypes. Stemness subtypes, which are associated with its clinical features, may be independent prognostic factors for endometrial cancer. The stemness subtypes differed significantly in immune activity, immune cell infiltration, and the immune microenvironment, including sensitivity to chemotherapeutic drugs and potential therapeutic compounds. Algorithms were utilised to construct a stemness subtype prediction model and predictor. These findings will provide guidance for the clinical diagnosis, treatment, and prognosis of endometrial cancer.
DOI: 10.6084/m9.figshare.22032584.v1
title: Identification of stemness subtypes and features to improve endometrial cancer treatment using machine learning

description: Endometrial cancer is one of the most common malignant tumours in women, and cancer stem cells are known to play an important role in its growth, invasion, metastasis, and drug resistance. Immunotherapy for endometrial cancer is still under research. In this study, a total of 547 endometrial cancer cases were randomly divided into training set (351 cases) set and test set (196 cases). The stemness index of patients was calculated using the One-Class Logistic Regression (OCLR) machine learning algorithm to explore the clinicopathological differences between index levels. Stemness subtypes were determined according to the characteristics of cancer stemness and their clinicopathological characteristics, immune features, and therapeutic effects were described. Our study suggests that endometrial cancer is classified into two stemness subtypes. Stemness subtypes, which are associated with its clinical features, may be independent prognostic factors for endometrial cancer. The stemness subtypes differed significantly in immune activity, immune cell infiltration, and the immune microenvironment, including sensitivity to chemotherapeutic drugs and potential therapeutic compounds. Algorithms were utilised to construct a stemness subtype prediction model and predictor. These findings will provide guidance for the clinical diagnosis, treatment, and prognosis of endometrial cancer.
DOI: 10.5281/zenodo.10619110
title: RASP: A new method for single puncta detection in complex cellular backgrounds_data

description: Extra data for figure 5 for the paper: RASP: A new method for single puncta detection in complex cellular background
DOI: 10.5281/zenodo.10619109
title: RASP: A new method for single puncta detection in complex cellular backgrounds_data

description: Extra data for figure 5 for the paper: RASP: A new method for single puncta detection in complex cellular background
DOI: 10.6084/m9.figshare.13642397.v1
title: Additional file 3 of Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI)

description: Additional file 3:. Supplementary Table 1.Patient sample details. Supplementary Table 2. The normalized expression values. Supplementary Table 3. A list of significant differentially expressed RNAs. Supplementary Table 4. The distribution of significant differentially expressed RNAs in each module. Supplementary Table 5. A co-expression network of lncRNA-mRNA was constructed by retaining a ligation pair with a PCC above 0.4. Supplementary Table 6. In the CTD database, ‘neuropathic pain’ was used as a keyword to search for the KEGG pathway directly related to neuropathic pain. A total of 84 KEGG pathways as listed.
DOI: 10.6084/m9.figshare.9973988
title: MOESM2 of Transcriptomic analysis of early fruit development in Chinese white pear (Pyrus bretschneideri Rehd.) and functional identification of PbCCR1 in lignin biosynthesis

description: Additional file 2: Table S2. Summary of KEGG pathways.
DOI: 10.6084/m9.figshare.9973988.v1
title: MOESM2 of Transcriptomic analysis of early fruit development in Chinese white pear (Pyrus bretschneideri Rehd.) and functional identification of PbCCR1 in lignin biosynthesis

description: Additional file 2: Table S2. Summary of KEGG pathways.
DOI: 10.6084/m9.figshare.9973991
title: MOESM3 of Transcriptomic analysis of early fruit development in Chinese white pear (Pyrus bretschneideri Rehd.) and functional identification of PbCCR1 in lignin biosynthesis

description: Additional file 3: Table S3. KEGG pathway classification.
DOI: 10.6084/m9.figshare.9973991.v1
title: MOESM3 of Transcriptomic analysis of early fruit development in Chinese white pear (Pyrus bretschneideri Rehd.) and functional identification of PbCCR1 in lignin biosynthesis

description: Additional file 3: Table S3. KEGG pathway classification.
DOI: 10.6084/m9.figshare.24129774
title: Supplementary Data for Dong et al. "Wastewater-influenced estuaries are characterized by disproportionately high nitrous oxide emissions but overestimated IPCC emission factor"

description: Supplementary data for the article "Wastewater-influenced estuaries are characterized by disproportionately high nitrous oxide emissions but overestimated IPCC emission factor". This dataset contains the following four files:Supplementary Data 1: Real-time N<sub>2</sub>O concentrations and environmental parameters from the high-resolution monitoring campaign in the Pearl River Estuary (PRE).Supplementary Data 2: Summary of N<sub>2</sub>O emissions in estuaries globally synthesized from previous studies.Supplementary Data 3: Statistics of wastewater nitrogen discharge in 83 estuaries globally.Supplementary Data Reference: Reference cited in Supplementary Data 2 and Supplementary Data 3.
DOI: 10.6084/m9.figshare.9974036
title: MOESM5 of Hepatic PKA inhibition accelerates the lipid accumulation in liver

description: Additional file 5. The gene symbols, fold change and adjusted-p values of the DEGs of PKAi and control mice are listed in the table
DOI: 10.6084/m9.figshare.9974036.v1
title: MOESM5 of Hepatic PKA inhibition accelerates the lipid accumulation in liver

description: Additional file 5. The gene symbols, fold change and adjusted-p values of the DEGs of PKAi and control mice are listed in the table
DOI: 10.6084/m9.figshare.15741204
title: Input data for gene set analysis

description: The main parameters,which were used for gene set analyses, are presented here for each protein/gene.
DOI: 10.6084/m9.figshare.15741204.v1
title: Input data for gene set analysis

description: The main parameters,which were used for gene set analyses, are presented here for each protein/gene.
DOI: 10.6084/m9.figshare.15741207
title: Gene set analysis findings

description: The list of all biological processes that were identified by gene set analyses.
DOI: 10.6084/m9.figshare.15741207.v1
title: Gene set analysis findings

description: The list of all biological processes that were identified by gene set analyses.
DOI: 10.6084/m9.figshare.15741210
title: Input data for meta-analysis

description: The concatenated tables, which were subjected to meta-analysis, are separately presented for the labeled and the label-free data. The information on mean of protein intensities per protein per group, standard deviation of protein intensities per protein per group and sample size per group are available.
DOI: 10.6084/m9.figshare.15741210.v1
title: Input data for meta-analysis

description: The concatenated tables, which were subjected to meta-analysis, are separately presented for the labeled and the label-free data. The information on mean of protein intensities per protein per group, standard deviation of protein intensities per protein per group and sample size per group are available.
DOI: 10.6084/m9.figshare.15741216
title: Meta-analysis findings

description: The meta-analysis findings, including all outcome parameters, are presented here for the labeled and the label-free data separately.
DOI: 10.6084/m9.figshare.15741216.v1
title: Meta-analysis findings

description: The meta-analysis findings, including all outcome parameters, are presented here for the labeled and the label-free data separately.
DOI: 10.6084/m9.figshare.13642312
title: Additional file 7 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 7. Gene networks of the three hub genes including Stf0 sulfotransferase, cyclin-like F-box, and HOX12. (CSV 2 kb)
DOI: 10.6084/m9.figshare.13642309.v1
title: Additional file 6 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 6. Correlations between modules and the groups. (CSV 4 kb)
DOI: 10.6084/m9.figshare.13642397
title: Additional file 3 of Screening of disease-related biomarkers related to neuropathic pain (NP) after spinal cord injury (SCI)

description: Additional file 3:. Supplementary Table 1.Patient sample details. Supplementary Table 2. The normalized expression values. Supplementary Table 3. A list of significant differentially expressed RNAs. Supplementary Table 4. The distribution of significant differentially expressed RNAs in each module. Supplementary Table 5. A co-expression network of lncRNA-mRNA was constructed by retaining a ligation pair with a PCC above 0.4. Supplementary Table 6. In the CTD database, ‘neuropathic pain’ was used as a keyword to search for the KEGG pathway directly related to neuropathic pain. A total of 84 KEGG pathways as listed.
DOI: 10.6084/m9.figshare.13642303
title: Additional file 4 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 4. GO enrichment analysis of DEGs.
DOI: 10.6084/m9.figshare.13642303.v1
title: Additional file 4 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 4. GO enrichment analysis of DEGs.
DOI: 10.6084/m9.figshare.13642297
title: Additional file 2 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 2. Summary of full-length transcriptome of sugarcane.
DOI: 10.6084/m9.figshare.13642294.v1
title: Additional file 1 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 1. The primers used in this study.
DOI: 10.6084/m9.figshare.13642312.v1
title: Additional file 7 of Global transcriptome changes of elongating internode of sugarcane in response to mepiquat chloride

description: Additional file 7. Gene networks of the three hub genes including Stf0 sulfotransferase, cyclin-like F-box, and HOX12. (CSV 2 kb)
DOI: 10.6084/m9.figshare.21506846
title: Additional file 2 of Three-dimensional microenvironment regulates gene expression, function, and tight junction dynamics of iPSC-derived blood–brain barrier microvessels

description: Additional file 2. Summary of bulk RNA-sequencing data.
DOI: 10.6084/m9.figshare.16786965.v1
title: Additional file 16 of Integrated analysis of mRNA-seq and miRNA-seq reveals the advantage of polyploid Solidago canadensis in sexual reproduction

description: Additional file 16.
DOI: 10.6084/m9.figshare.7351031.v1
title: Additional file 2 of Classifying human promoters by occupancy patterns identifies recurring sequence elements, combinatorial binding, and spatial interactions

description: Entire DAVID output with adjusted p value cutoff =0.05 and fold enrichment cutoff =2. (XLSX 92 kb)
DOI: 10.6084/m9.figshare.16786947
title: Additional file 10 of Integrated analysis of mRNA-seq and miRNA-seq reveals the advantage of polyploid Solidago canadensis in sexual reproduction

description: Additional file 10.
DOI: 10.15156/bio/sh2693166.08fu
title: SH2693166.08FU

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/sh2693167.08fu
title: SH2693167.08FU

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/sh2693168.08fu
title: SH2693168.08FU

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/sh2693169.08fu
title: SH2693169.08FU

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/sh2693170.08fu
title: SH2693170.08FU

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/sh2693171.08fu
title: SH2693171.08FU

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/sh2693172.08fu
title: SH2693172.08FU

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/sh2693173.08fu
title: SH2693173.08FU

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/sh2693174.08fu
title: SH2693174.08FU

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.