cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26703877.v1
title: Additional file 2 of Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet

description: Additional file 2. Maker and their positions of the consenus map devloped using 12 genetic maps.
DOI: 10.6084/m9.figshare.26703880
title: Additional file 3 of Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet

description: Additional file 3. Genes in the meta—QTL regions and their predicted functions.
DOI: 10.6084/m9.figshare.26703880.v1
title: Additional file 3 of Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet

description: Additional file 3. Genes in the meta—QTL regions and their predicted functions.
DOI: 10.6084/m9.figshare.26703883
title: Additional file 4 of Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet

description: Additional file 4. Summary of integrated consensus genetic map of pearl millet developed from 12 studies.
DOI: 10.6084/m9.figshare.26703883.v1
title: Additional file 4 of Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet

description: Additional file 4. Summary of integrated consensus genetic map of pearl millet developed from 12 studies.
DOI: 10.15468/dl.yd74zc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.67493 -32.890258, 148.683914 -32.890258, 148.683914 -32.888012, 148.67493 -32.888012, 148.67493 -32.890258)), ((148.67493 -32.890258, 148.672685 -32.890258, 148.672685 -32.89475, 148.67493 -32.89475, 148.67493 -32.890258)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067859-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26615575.v1
title: Additional file 1 of The cause and effect of gut microbiota in development of inflammatory disorders of the breast

description: Additional file 1: Table S1. IVs used in MR analysis of the association between GM and IDB. Table S2. Casual effects of MR analysis between GM and IDB. Table S3. F-statistic results of MR analysis. Table S4. Results of sensitivity analysis.
DOI: 10.6084/m9.figshare.26615575
title: Additional file 1 of The cause and effect of gut microbiota in development of inflammatory disorders of the breast

description: Additional file 1: Table S1. IVs used in MR analysis of the association between GM and IDB. Table S2. Casual effects of MR analysis between GM and IDB. Table S3. F-statistic results of MR analysis. Table S4. Results of sensitivity analysis.
DOI: 10.6084/m9.figshare.26615710
title: Additional file 2 of Engineering a marine microalga Chlorella sp. as the cell factory

description: Additional file 2: Dataset 1. The mRNA-Seq-based transcriptome datasets of Chlorella sp. MEM25.
DOI: 10.6084/m9.figshare.26703955
title: Additional file 1 of Colonization during a key developmental window reveals microbiota-dependent shifts in growth and immunity during undernutrition

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26703955.v1
title: Additional file 1 of Colonization during a key developmental window reveals microbiota-dependent shifts in growth and immunity during undernutrition

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26615710.v1
title: Additional file 2 of Engineering a marine microalga Chlorella sp. as the cell factory

description: Additional file 2: Dataset 1. The mRNA-Seq-based transcriptome datasets of Chlorella sp. MEM25.
DOI: 10.6084/m9.figshare.26615653
title: Additional file 2 of The identification and genetic characteristics of Quang Binh virus from field-captured Culex tritaeniorhynchus (Diptera: Culicidae) from Guizhou Province, China

description: Additional file 2: Table. S2. Data of the circular diagram on nucleic acid similarity and nonsynonymous SNV analysis in this study.
DOI: 10.6084/m9.figshare.26615656.v1
title: Additional file 3 of The identification and genetic characteristics of Quang Binh virus from field-captured Culex tritaeniorhynchus (Diptera: Culicidae) from Guizhou Province, China

description: Additional file 3: Table. S3. The results of nonsynonymous and synonymous SNV analysis in this study.
DOI: 10.6084/m9.figshare.26615656
title: Additional file 3 of The identification and genetic characteristics of Quang Binh virus from field-captured Culex tritaeniorhynchus (Diptera: Culicidae) from Guizhou Province, China

description: Additional file 3: Table. S3. The results of nonsynonymous and synonymous SNV analysis in this study.
DOI: 10.6084/m9.figshare.26615653.v1
title: Additional file 2 of The identification and genetic characteristics of Quang Binh virus from field-captured Culex tritaeniorhynchus (Diptera: Culicidae) from Guizhou Province, China

description: Additional file 2: Table. S2. Data of the circular diagram on nucleic acid similarity and nonsynonymous SNV analysis in this study.
DOI: 10.6084/m9.figshare.26575424
title: Additional file 2 of Overexpression of OsERF106MZ promotes parental root growth in rice seedlings by relieving the ABA-mediated inhibition of root growth under salinity stress conditions

description: Additional file 2.
DOI: 10.15468/dl.36wysh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.935443 -32.888012, 148.935443 -32.89475, 148.942181 -32.89475, 148.942181 -32.888012, 148.935443 -32.888012))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067860-240626123714530/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.26575427
title: Additional file 3 of Overexpression of OsERF106MZ promotes parental root growth in rice seedlings by relieving the ABA-mediated inhibition of root growth under salinity stress conditions

description: Additional file 3.
DOI: 10.6084/m9.figshare.26575430.v1
title: Additional file 4 of Overexpression of OsERF106MZ promotes parental root growth in rice seedlings by relieving the ABA-mediated inhibition of root growth under salinity stress conditions

description: Additional file 4.
DOI: 10.6084/m9.figshare.26615662
title: Additional file 2 of Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

description: Additional file 2: Supplementary table 1. The STAS status and clinical outcome of enrolled patients. Supplementary table 2. Radiomic features extracted from ROI-tumoral by Pyradiomics. Supplementary table 3. Radiomic features extracted from ROI-3u by Pyradiomics. Supplementary table 4. Radiomic features extracted from ROI-6u by Pyradiomics. Supplementary table 5. Radiomic features extracted from ROI-12u by Pyradiomics. Supplementary table 6. 2D Deep learning radiomics features from ROI-tumoral by Convolutional Neural Networks. Supplementary table 7. 3D Deep learning radiomics features from ROI-tumoral by Convolutional Neural Networks. Supplementary table 8. The final features in the six signature models selected by LASSO-COX regression and the weight of them. Supplementary table 9. The results of DeLong’s test in different models.
DOI: 10.6084/m9.figshare.26704047
title: Additional file 2 of Transcriptional and metabolic profiling of sulfur starvation response in two monocots

description: Additional file 2: Supplemental Table 1. DEGs in O.sativa (C3) under S-deficiency. Supplemental Table 2. DEGs in S.viridis (C4) under S-deficiency. Supplemental Table 3. Common DEGs under S-deficiency in Arabidopsis thaliana (*Maruyama-Nakashita et al., 2006; **Dietzen et al., 2020) and ***present study. Supplemental Table 4. GO terms enriched in upregulated DEGs for O.sativa (C3) under S-deficiency. Supplemental Table 5. GO terms enriched in upregulated DEGs for S.viridis (C4) under S-deficiency. Supplemental Table 6. GO terms enriched in downregulated DEGs for O.sativa (C3) under S-deficiency. Supplemental Table 7. GO terms enriched in downregulated DEGs for S.viridis (C4) under S-deficiency. Supplemental Table 8. GO terms for sub-networks in O. sativa (C3) under S-deficiency. Supplemental Table 9. GO terms for sub-networks in S.viridis (C4) under S-deficiency. Supplemental Table 10. RT-qPCR primers used in this study.
DOI: 10.6084/m9.figshare.26615662.v1
title: Additional file 2 of Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

description: Additional file 2: Supplementary table 1. The STAS status and clinical outcome of enrolled patients. Supplementary table 2. Radiomic features extracted from ROI-tumoral by Pyradiomics. Supplementary table 3. Radiomic features extracted from ROI-3u by Pyradiomics. Supplementary table 4. Radiomic features extracted from ROI-6u by Pyradiomics. Supplementary table 5. Radiomic features extracted from ROI-12u by Pyradiomics. Supplementary table 6. 2D Deep learning radiomics features from ROI-tumoral by Convolutional Neural Networks. Supplementary table 7. 3D Deep learning radiomics features from ROI-tumoral by Convolutional Neural Networks. Supplementary table 8. The final features in the six signature models selected by LASSO-COX regression and the weight of them. Supplementary table 9. The results of DeLong’s test in different models.
DOI: 10.6084/m9.figshare.26575442
title: Additional file 1 of Exposure to oxLDL impairs TGF-β activity in human tendon cells

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26704098
title: Additional file 1 of SIRPB1 regulates inflammatory factor expression in the glioma microenvironment via SYK: functional and bioinformatics insights

description: Additional file 1. Figure S1: The relative expression of Western blot in Figure 1, 4, 6 and 7. Figure S2: A. Single-Cell Analysis of CXCL8 and CCL2 Expression. B. The expression of SIRPB1 in LGG and GBM cohort. C. Kaplan-Meier curves for PFI in specific glioma subgroups. Table S1: Antibodies uesd for Western blot, Immunohistochemical and Immunofluorescence staining. Table S2: Primers used for qPCR and PCR. Table S3: DEGs between high and low SIRPB1 samples in TCGA-GBMLGG cohort. Table S4: Significant terms obtained in Enrichment analysis of DEGs between high and low SIRPB1 samples in TCGA-GBMLGG cohort. Table S5: Within macrophage and microglia cells, significant terms obtained in Enrichment analysis of DEGs between high and low SIRPB1 samples in single-cell dataset GSE117891.
DOI: 10.6084/m9.figshare.26704098.v1
title: Additional file 1 of SIRPB1 regulates inflammatory factor expression in the glioma microenvironment via SYK: functional and bioinformatics insights

description: Additional file 1. Figure S1: The relative expression of Western blot in Figure 1, 4, 6 and 7. Figure S2: A. Single-Cell Analysis of CXCL8 and CCL2 Expression. B. The expression of SIRPB1 in LGG and GBM cohort. C. Kaplan-Meier curves for PFI in specific glioma subgroups. Table S1: Antibodies uesd for Western blot, Immunohistochemical and Immunofluorescence staining. Table S2: Primers used for qPCR and PCR. Table S3: DEGs between high and low SIRPB1 samples in TCGA-GBMLGG cohort. Table S4: Significant terms obtained in Enrichment analysis of DEGs between high and low SIRPB1 samples in TCGA-GBMLGG cohort. Table S5: Within macrophage and microglia cells, significant terms obtained in Enrichment analysis of DEGs between high and low SIRPB1 samples in single-cell dataset GSE117891.
DOI: 10.34740/kaggle/dsv/12287619
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh0190268.10fu
title: SH0190268.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190269.10fu
title: SH0190269.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190270.10fu
title: SH0190270.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190271.10fu
title: SH0190271.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190272.10fu
title: SH0190272.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.9q6tre
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.302263 20.273698, 78.22739199999999 20.268122, 78.154381 20.251532, 78.08504000000001 20.22434, 78.021089 20.18722, 77.96410899999999 20.141094, 77.915505 20.087104, 77.87647200000001 20.026586, 77.84796299999999 19.961039, 77.830669 19.892079, 77.825002 19.821409, 77.831086 19.75077, 77.84875599999999 19.681899, 77.87756299999999 19.61649, 77.916788 19.556147, 77.965457 19.502351, 78.02237100000001 19.456418, 78.08613099999999 19.419473, 78.155173 19.39242, 78.22780899999999 19.375918, 78.302263 19.370373, 78.376717 19.375918, 78.449353 19.39242, 78.518395 19.419473, 78.582155 19.456418, 78.63906900000001 19.502351, 78.687738 19.556147, 78.726963 19.61649, 78.75577 19.681899, 78.77343999999999 19.75077, 78.77952399999999 19.821409, 78.77385700000001 19.892079, 78.756563 19.961039, 78.728054 20.026586, 78.689021 20.087104, 78.640417 20.141094, 78.583437 20.18722, 78.519486 20.22434, 78.45014500000001 20.251532, 78.377134 20.268122, 78.302263 20.273698))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001940-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190273.10fu
title: SH0190273.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190274.10fu
title: SH0190274.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190275.10fu
title: SH0190275.10FU

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