cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18716/nmrshiftdb2/20035888
title: NMR data for methyl 2-(2-oxopyrrolidin-1-yl)acetate
DOI: 10.18716/nmrshiftdb2/20035889
title: NMR data for 1-(chloromethyl)-4-methylbenzene
DOI: 10.18716/nmrshiftdb2/20035890
title: NMR data for (4-methylphenyl)methanol
DOI: 10.18716/nmrshiftdb2/20036205
title: NMR data for 4-(4-methylphenyl)benzonitrile
DOI: 10.18716/nmrshiftdb2/20036206
title: NMR data for 4-methylbenzonitrile
DOI: 10.18716/nmrshiftdb2/20036207
title: NMR data for 1-(4-chlorophenyl)ethanone
DOI: 10.48370/ofd/7evede/wwykwg
title: HMW_Geranium_robertianum_L._H_2343.jpg

description: :unav
DOI: 10.18716/nmrshiftdb2/20036208
title: NMR data for 2-iodobenzaldehyde
DOI: 10.18716/nmrshiftdb2/20036209
title: NMR data for naphtho[2,3-c]chromen-6-one
DOI: 10.48370/ofd/7evede
title: Bodziszek cuchnący (Geranium robertianum L.), 2343

description: Herbarium
DOI: 10.48370/ofd/28feyd/sscmim
title: HMW_Geranium_robertianum_L._H_3362.jpg

description: :unav
DOI: 10.48370/ofd/28feyd
title: Bodziszek cuchnący (Geranium robertianum L.), 3362

description: Herbarium
DOI: 10.48370/ofd/g0leef/kwrunn
title: HMW_Geranium_robertianum_L._H_0622.jpg

description: :unav
DOI: 10.48370/ofd/g0leef
title: Bodziszek cuchnący (Geranium robertianum L.), 622

description: Herbarium
DOI: 10.6084/m9.figshare.16432833
title: Edman sequencing of biologically active fractions of sheep ovarian follicular fluid and blood plasma.

description: Edman degradation of an active fraction of sheep plasma yielded as the cleanest N-terminal aa sequence MKPLTGKVKEFNNI (Hart, 2008), with variants on six other occasions.
DOI: 10.6084/m9.figshare.16432833.v2
title: Edman sequencing of biologically active fractions of sheep ovarian follicular fluid and blood plasma.

description: Edman degradation of an active fraction of sheep plasma yielded as the cleanest N-terminal aa sequence MKPLTGKVKEFNNI (Hart, 2008), with variants on six other occasions.
DOI: 10.6084/m9.figshare.16432833.v1
title: Edman sequencing of a biologically active fraction of sheep fraction

description: Edman degradation of an active fraction of sheep plasma yielded as the cleanest N-terminal aa sequence MKPLTGKVKEFNNI (Hart, 2008), with variants on six other occasions.
DOI: 10.6084/m9.figshare.22608700.v1
title: Additional file 1 of Identification of key regulatory genes and their working mechanisms in type 1 diabetes

description: Additional file 1. Two independent microarrays related to T1D (GSE156035 and GSE55098) were integrated for analysis and 19579 co-expressed genes were identified in both microarrays.
DOI: 10.6084/m9.figshare.22608721.v1
title: Additional file 7 of Identification of key regulatory genes and their working mechanisms in type 1 diabetes

description: Additional file 7. Prediction on the target genes of 13 candidate miRNAs (hsa-mir-28, hsa-mir-744, hsa-let-7i, hsa-mir-584, hsa-mir-423, hsa-mir-1249, hsa-mir-1275, hsa-mir-25, hsa-mir-146b, hsa-mir-345, hsa-mir-1237 and hsa-mir-1301.
DOI: 10.6084/m9.figshare.22608712
title: Additional file 4 of Identification of key regulatory genes and their working mechanisms in type 1 diabetes

description: Additional file 4. The genes in the module 3 were extracted and the correlation of clustered genes with modules was calculated.
DOI: 10.6084/m9.figshare.22608826
title: Additional file 2 of Alterations in the human oral microbiota in systemic lupus erythematosus

description: Additional file 2: Supplementary Data S1–23.
DOI: 10.6084/m9.figshare.22608715.v1
title: Additional file 5 of Identification of key regulatory genes and their working mechanisms in type 1 diabetes

description: Additional file 5. Genes with a correlation coefficient above 0.5 were selected for subsequent analysis and 925 candidate genes were obtained.
DOI: 10.6084/m9.figshare.22608721
title: Additional file 7 of Identification of key regulatory genes and their working mechanisms in type 1 diabetes

description: Additional file 7. Prediction on the target genes of 13 candidate miRNAs (hsa-mir-28, hsa-mir-744, hsa-let-7i, hsa-mir-584, hsa-mir-423, hsa-mir-1249, hsa-mir-1275, hsa-mir-25, hsa-mir-146b, hsa-mir-345, hsa-mir-1237 and hsa-mir-1301.
DOI: 10.6084/m9.figshare.22608974.v1
title: Additional file 1 of Silica nanoparticles promote wheat growth by mediating hormones and sugar metabolism

description: Additional file 1: Table S1. The primer sequences for qRT-PCR.
DOI: 10.6084/m9.figshare.22608877
title: Additional file 2 of Water channel protein AQP1 in cytoplasm is a critical factor in breast cancer local invasion

description: Additional file 2: Supplementary Table S1. List of plasmids and RNA interference sequences used in this study. Supplementary Table S2. List of antibodies used in this study. Supplementary Table S3. Cytoplasmic AQP1 expression in IDC patients. Supplementary Table S4. Relationship between AQP1 cytoplasmic expression and pathological tumor size (pT). Supplementary Table S5. Univariate and multivariate analysis for overall survival (OS) and progression-free survival (PFS). Supplementary Table S6. List of proteins in the supernant of Flag-vector/MDA-MB-231 cells by mass spectrometry. Supplementary Table S7. List of proteins in the supernant of Flag-AQP1/MDA-MB-231 cells by mass spectrometry. Supplementary Table S8. Correlations among the expression of AQP1, ANXA2 and CTSS in 194 IDC patients. Supplementary Table S9. Relationship between AQP1 cytoplasmic expression and ANXA2 membrane expression in IDC patients (n=194). Supplementary Table S10. List of 23 genes of Rab family associated with AQP1 and ANXA2 by analysis of TCGA database.
DOI: 10.6084/m9.figshare.22608974
title: Additional file 1 of Silica nanoparticles promote wheat growth by mediating hormones and sugar metabolism

description: Additional file 1: Table S1. The primer sequences for qRT-PCR.
DOI: 10.6084/m9.figshare.22609217
title: Additional file 1 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 1: Table S1. Sampling information of Tibetan sheep breeds (Ovis aries).
DOI: 10.6084/m9.figshare.22609217.v1
title: Additional file 1 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 1: Table S1. Sampling information of Tibetan sheep breeds (Ovis aries).
DOI: 10.6084/m9.figshare.22609238.v1
title: Additional file 8 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 8: Table S6. The list of 78 genes under selection across the two breeds.
DOI: 10.6084/m9.figshare.22609220.v1
title: Additional file 2 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 2: Table S2. Numbers and distribution of SNPs-InDel in the resequenced sheep breeds.
DOI: 10.6084/m9.figshare.22609229.v1
title: Additional file 5 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 5: Table S4. Distribution of ROH islands throughout the genome.
DOI: 10.6084/m9.figshare.22608980
title: Additional file 1 of PI3K pathway mutation predicts an activated immune microenvironment and better immunotherapeutic efficacy in head and neck squamous cell carcinoma

description: Additional file 1: Fig. S1. Overall workflow diagram of our research. Fig. S2. Landscape and clinical prognostic value of PI3K pathway mutation in the MD-Anderson cohort as well as heatmaps of immune cells infiltration and boxplots of immunomodulators expression. (A) Oncoplot depicts the landscape of PI3K pathway gene mutation in the MD-Anderson cohort. (B) Multivariate Cox regression analysis of PI3K pathway mutation phenotype in the MD-Anderson cohort. (C-D) Kaplan-Meier survival analysis of OS (C) and DFS (D) between the PI3K pathway mutation and wild groups in the MD-Anderson cohort. (E-F) Assess infiltration abundance of 22 immune cells calculated by CIBERSORT (E) as well as 39 immune cells and stromal cells calculated by xCell (F). (G) Boxplots represent different expression levels of 18 ligand molecules between the two groups. WT, wild type; MT, mutant type; *P &lt; 0.05. Fig. S3. The relationship between PI3K pathway mutation and HPV status and patient prognosis in the TCGA-HNSC cohort. (A) Boxplots represent different expression levels of 19 receptor molecules between the PI3K pathway mutation and wild groups. (B) Composition percentage of HPV status between the PI3K pathway mutation and wild groups. (C) Composition percentage of PI3K pathway mutation status between the HPV-negative and HPV-positive groups. (D) Kaplan-Meier survival analysis of the HPV status in the TCGA-HNSC cohort. (E) Kaplan-Meier survival analysis of PI3K pathway mutation in the HPV-negative group patients of TCGA-HNSC cohort. (F-G) Kaplan-Meier survival analysis of HPV status in the PI3K pathway wild (F) and mutation (G) group patients of TCGA-HNSC cohort. WT, wild type; MT, mutant type; *P &lt; 0.05; **P &lt; 0.01. Table S1. The 29 PI3K pathway genes used to define samples as PI3K pathway mutation or wild groups.
DOI: 10.6084/m9.figshare.22608866.v1
title: Additional file 3 of Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer

description: Additional file 3: Table S1. Clinical information of included patients. Table S2. Spatial coordinates of each sample. Table S3. Prediction results of CopyKAT. Table S4. ITH level of each patient. Table S5. Differentially expressed genes between high-ITH and low-ITH patients. Table S6. KEGG analysis of the differences between high-ITH and low-ITH patients. Table S7. IHS of each protein coding gene. Table S8. Included public datasets. Table S9. Summary of LHRS genes. Table S10. Summary of published prognostic signatures.
DOI: 10.6084/m9.figshare.22609223
title: Additional file 3 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 3: Table S3. The numbers and distribution of SNPs-InDel in the exons.
DOI: 10.6084/m9.figshare.22609046
title: Additional file 2 of Large-scale genomic and transcriptomic profiles of rice hybrids reveal a core mechanism underlying heterosis

description: Additional file 2. Table S1-S13.
DOI: 10.6084/m9.figshare.22609114
title: Additional file 10 of BIN1 is a key regulator of proinflammatory and neurodegeneration-related activation in microglia

description: Additional file 10: Supplementary Tables S1-6.
DOI: 10.6084/m9.figshare.22608980.v1
title: Additional file 1 of PI3K pathway mutation predicts an activated immune microenvironment and better immunotherapeutic efficacy in head and neck squamous cell carcinoma

description: Additional file 1: Fig. S1. Overall workflow diagram of our research. Fig. S2. Landscape and clinical prognostic value of PI3K pathway mutation in the MD-Anderson cohort as well as heatmaps of immune cells infiltration and boxplots of immunomodulators expression. (A) Oncoplot depicts the landscape of PI3K pathway gene mutation in the MD-Anderson cohort. (B) Multivariate Cox regression analysis of PI3K pathway mutation phenotype in the MD-Anderson cohort. (C-D) Kaplan-Meier survival analysis of OS (C) and DFS (D) between the PI3K pathway mutation and wild groups in the MD-Anderson cohort. (E-F) Assess infiltration abundance of 22 immune cells calculated by CIBERSORT (E) as well as 39 immune cells and stromal cells calculated by xCell (F). (G) Boxplots represent different expression levels of 18 ligand molecules between the two groups. WT, wild type; MT, mutant type; *P &lt; 0.05. Fig. S3. The relationship between PI3K pathway mutation and HPV status and patient prognosis in the TCGA-HNSC cohort. (A) Boxplots represent different expression levels of 19 receptor molecules between the PI3K pathway mutation and wild groups. (B) Composition percentage of HPV status between the PI3K pathway mutation and wild groups. (C) Composition percentage of PI3K pathway mutation status between the HPV-negative and HPV-positive groups. (D) Kaplan-Meier survival analysis of the HPV status in the TCGA-HNSC cohort. (E) Kaplan-Meier survival analysis of PI3K pathway mutation in the HPV-negative group patients of TCGA-HNSC cohort. (F-G) Kaplan-Meier survival analysis of HPV status in the PI3K pathway wild (F) and mutation (G) group patients of TCGA-HNSC cohort. WT, wild type; MT, mutant type; *P &lt; 0.05; **P &lt; 0.01. Table S1. The 29 PI3K pathway genes used to define samples as PI3K pathway mutation or wild groups.
DOI: 10.5281/zenodo.10631952
title: nidiamcl/stream-graph: Initial Public Release

description: This is the initial public release of the NSF funded PASCAL-G algorithm, which includes the MPI implementation we developed.
DOI: 10.5281/zenodo.10631951
title: nidiamcl/stream-graph: Initial Public Release

description: This is the initial public release of the NSF funded PASCAL-G algorithm, which includes the MPI implementation we developed.
DOI: 10.6084/m9.figshare.14220666
title: Additional file 7 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 7. Supplementary Table S6. pegRNA off-targets and CArG boxes.
DOI: 10.6084/m9.figshare.14220663.v1
title: Additional file 6 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 6. Supplementary Table S5. sgRNA off-targets and CArG boxes.
DOI: 10.6084/m9.figshare.14220669
title: Additional file 8 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 8. Supplementary Table S7. List of primers.
DOI: 10.6084/m9.figshare.22608862.v1
title: Additional file 7 of Genome-wide association study reveals the genetic determinism of serum biochemical indicators in ducks

description: Additional file 7: Table S4. Candidate genes for enrichment analysis. The putative candidate genes, including the genes annotated on potential candidate SNPs (top 10) and genes located in the genomic region (r2 &gt; 0.4 and -log10(P) &lt; 4). A total of 85 unique potential candidate genes were identified for KEGG enrichment analysis.
DOI: 10.6084/m9.figshare.22608866
title: Additional file 3 of Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer

description: Additional file 3: Table S1. Clinical information of included patients. Table S2. Spatial coordinates of each sample. Table S3. Prediction results of CopyKAT. Table S4. ITH level of each patient. Table S5. Differentially expressed genes between high-ITH and low-ITH patients. Table S6. KEGG analysis of the differences between high-ITH and low-ITH patients. Table S7. IHS of each protein coding gene. Table S8. Included public datasets. Table S9. Summary of LHRS genes. Table S10. Summary of published prognostic signatures.
DOI: 10.5281/zenodo.10631069
title: A solution for highly efficient electroporation of primary cytotoxic T lymphocytes
DOI: 10.5281/zenodo.10631070
title: A solution for highly efficient electroporation of primary cytotoxic T lymphocytes
DOI: 10.6084/m9.figshare.22609231
title: Additional file 1 of Disruption of DDX53 coding sequence has limited impact on iPSC-derived human NGN2 neurons

description: Additional file 1. Supplementary tables.
DOI: 10.6084/m9.figshare.14220666.v1
title: Additional file 7 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 7. Supplementary Table S6. pegRNA off-targets and CArG boxes.
DOI: 10.6084/m9.figshare.22609232.v1
title: Additional file 6 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 6: Table S5. Distribution and annotation information of 35 shared genes in ROH island.
DOI: 10.6084/m9.figshare.22609223.v1
title: Additional file 3 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 3: Table S3. The numbers and distribution of SNPs-InDel in the exons.
DOI: 10.6084/m9.figshare.22609276
title: Additional file 1 of Variation in mitogenome structural conformation in wild and cultivated lineages of sorghum corresponds with domestication history and plastome evolution

description: Additional file 1: Supplementary Table 1. Genome contents of plastomes assembled in this study. Supplementary Table 2. The primer designs to confirm the 12 connections of the Type I conformation in IS929. Supplementary Table 3. SNPs in the CDSs of sorghum mitogenomes. Supplementary Table 4. SNPs in the CDSs of sorghum plastomes.
DOI: 10.15156/bio/sh1343671.08fu
title: SH1343671.08FU

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/sh1343672.08fu
title: SH1343672.08FU

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/sh2023907.08fu
title: SH2023907.08FU

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/sh2023908.08fu
title: SH2023908.08FU

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/sh1343673.08fu
title: SH1343673.08FU

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/sh1343674.08fu
title: SH1343674.08FU

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.