cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14752147.v1
title: Additional file 3 of Identification of long noncoding natural antisense transcripts (lncNATs) correlated with drought stress response in wild rice (Oryza nivara)

description: Additional file 3: Table S3. Natural antisense transcript (NAT) pairs expressed in Nip, BJ89, and BJ278.
DOI: 10.25582/data.2023-02.2729530/2289601
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727400/2289602
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2724051/2289603
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727670/2289604
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2729487/2289605
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.12655010
title: Additional file 1 of Expression, homology modeling and enzymatic characterization of a new β-mannanase belonging to glycoside hydrolase family 1 from Enterobacter aerogenes B19

description: Additional file 1: Figure S1. The 3D structure of the catalytic active domains (CD) and family 35 carbohydrate binding modules (CBM) of β-1, 4-mannanases. a A GH5 family β-1, 4-mannanase from Podospora Anserina (PDB code, 3ZM8). b The CBM (PDB code, 2WZ8) of β-1, 4-mannanase from Podospora Anserina (PDB code, 3ZM8). c A GH26 family β-1,4-mannanase from Cellulomonas fimi (PDB code, 2BVT). d The CBM of a GH5 family β-1, 4-mannanase from the Cellvibrio japonicus (PDB code, 2BGP). e The resultant conformation of Man1E docking TRS.
DOI: 10.6084/m9.figshare.14752156
title: Additional file 6 of Identification of long noncoding natural antisense transcripts (lncNATs) correlated with drought stress response in wild rice (Oryza nivara)

description: Additional file 6: Table S6. NAT pairs differentially expressed in Nip, BJ89, and BJ278 between drought stress and control treatments.
DOI: 10.25582/data.2023-02.2726804/2289606
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.12655010.v1
title: Additional file 1 of Expression, homology modeling and enzymatic characterization of a new β-mannanase belonging to glycoside hydrolase family 1 from Enterobacter aerogenes B19

description: Additional file 1: Figure S1. The 3D structure of the catalytic active domains (CD) and family 35 carbohydrate binding modules (CBM) of β-1, 4-mannanases. a A GH5 family β-1, 4-mannanase from Podospora Anserina (PDB code, 3ZM8). b The CBM (PDB code, 2WZ8) of β-1, 4-mannanase from Podospora Anserina (PDB code, 3ZM8). c A GH26 family β-1,4-mannanase from Cellulomonas fimi (PDB code, 2BVT). d The CBM of a GH5 family β-1, 4-mannanase from the Cellvibrio japonicus (PDB code, 2BGP). e The resultant conformation of Man1E docking TRS.
DOI: 10.6084/m9.figshare.14227856
title: Additional file 1 of Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

description: Additional file 1: Supplementary Table 1.Staging systems of whole cohort, derivation cohort and validation cohort. Supplementary Table 2. The performance of the ANN model, Cox model and these eight prognostic factors individually in predicting post-hepatectomy early recurrence in derivation cohort. Supplementary Figure 1. Flow chart of the study design. Supplementary Figure 2. Recurrence-risk stratification curves of the eight prognostic factors in the derivation cohort. (A) HBV-DNA, (B) GGT) level, (C) AFP level, (D) tumor size), (E) tumor differentiation, (F) MVI, (G) satellite nodules, (H) blood loss. Abbreviations: HBV-DNA, Hepatitis B virus deoxyribonucleic acid load; GGT, γ-glutamyl transpeptidase; AFP, α-fetoprotein; MVI; microvascular invasion. Supplementary Figure 3. Screenshot of the SPSS software-based ANN model to predict PHER risk. First, SPSS is opened, and the values of the eight prognostic factors (HBV-DNA load, GGT level, AFP level, tumor size, tumor differentiation, MVI, satellite nodules, and blood loss) are entered into the program. Next, the Scoring Wizard on the toolbar is found, and the ANN model file is selected. The program will automatically calculate PHER risk. For ex ample, in an HCC patient with high levels of HBV-DNA, GGT, and AFP; large tumor size; poor tumor differentiation; high blood loss; and presence of MVI and satellite nodules, the program calculated a predicted PHER risk of 0.84. This patient was classified in the high-risk group based on the risk stratification. Abbreviations: HCC, hepatocellular carcinoma; ANN, artificial neural network; PHER, post-hepatectomy early recurrence; HBV-DNA, hepatitis B virus DNA load; GGT, γ-glutamyl transpeptadase; AFP, α-fetoprotein; MVI, microvascular invasion.
DOI: 10.6084/m9.figshare.14227856.v1
title: Additional file 1 of Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

description: Additional file 1: Supplementary Table 1.Staging systems of whole cohort, derivation cohort and validation cohort. Supplementary Table 2. The performance of the ANN model, Cox model and these eight prognostic factors individually in predicting post-hepatectomy early recurrence in derivation cohort. Supplementary Figure 1. Flow chart of the study design. Supplementary Figure 2. Recurrence-risk stratification curves of the eight prognostic factors in the derivation cohort. (A) HBV-DNA, (B) GGT) level, (C) AFP level, (D) tumor size), (E) tumor differentiation, (F) MVI, (G) satellite nodules, (H) blood loss. Abbreviations: HBV-DNA, Hepatitis B virus deoxyribonucleic acid load; GGT, γ-glutamyl transpeptidase; AFP, α-fetoprotein; MVI; microvascular invasion. Supplementary Figure 3. Screenshot of the SPSS software-based ANN model to predict PHER risk. First, SPSS is opened, and the values of the eight prognostic factors (HBV-DNA load, GGT level, AFP level, tumor size, tumor differentiation, MVI, satellite nodules, and blood loss) are entered into the program. Next, the Scoring Wizard on the toolbar is found, and the ANN model file is selected. The program will automatically calculate PHER risk. For ex ample, in an HCC patient with high levels of HBV-DNA, GGT, and AFP; large tumor size; poor tumor differentiation; high blood loss; and presence of MVI and satellite nodules, the program calculated a predicted PHER risk of 0.84. This patient was classified in the high-risk group based on the risk stratification. Abbreviations: HCC, hepatocellular carcinoma; ANN, artificial neural network; PHER, post-hepatectomy early recurrence; HBV-DNA, hepatitis B virus DNA load; GGT, γ-glutamyl transpeptadase; AFP, α-fetoprotein; MVI, microvascular invasion.
DOI: 10.6084/m9.figshare.14752156.v1
title: Additional file 6 of Identification of long noncoding natural antisense transcripts (lncNATs) correlated with drought stress response in wild rice (Oryza nivara)

description: Additional file 6: Table S6. NAT pairs differentially expressed in Nip, BJ89, and BJ278 between drought stress and control treatments.
DOI: 10.6084/m9.figshare.14227859
title: Additional file 1 of Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA

description: Additional file 1.
DOI: 10.25582/data.2023-02.2727543/2289607
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.14227859.v1
title: Additional file 1 of Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA

description: Additional file 1.
DOI: 10.25582/data.2023-01.2722850/2289608
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14752153
title: Additional file 5 of Identification of long noncoding natural antisense transcripts (lncNATs) correlated with drought stress response in wild rice (Oryza nivara)

description: Additional file 5: Table S5. Genes included in 10 Gene Ontology (GO) categories closely related to drought stress. Red color indicates 48 genes differentially expressed only in BJ89 and BJ278 between drought stress and control treatments. Blue color indicates 49 genes differentially expressed between BJ89 and Nip or between BJ278 and Nip under drought stress treatments.
DOI: 10.6084/m9.figshare.14752153.v1
title: Additional file 5 of Identification of long noncoding natural antisense transcripts (lncNATs) correlated with drought stress response in wild rice (Oryza nivara)

description: Additional file 5: Table S5. Genes included in 10 Gene Ontology (GO) categories closely related to drought stress. Red color indicates 48 genes differentially expressed only in BJ89 and BJ278 between drought stress and control treatments. Blue color indicates 49 genes differentially expressed between BJ89 and Nip or between BJ278 and Nip under drought stress treatments.
DOI: 10.25582/data.2023-01.2723910/2289609
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727456/2289610
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2730326/2289611
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2722851/2289612
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727398/2289613
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727379/2289614
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727499/2289615
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2729546/2289616
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727242/2289617
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727236/2289618
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2729649/2289619
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2724339/2289620
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2729529/2289621
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2725576/2289622
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727461/2289623
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.7936448
title: Additional file 2: of Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome

description: Large supporting tables. (XLSX 2222 kb)
DOI: 10.6084/m9.figshare.7936448.v1
title: Additional file 2: of Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome

description: Large supporting tables. (XLSX 2222 kb)
DOI: 10.25582/data.2023-01.2725568/2289624
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726992/2289625
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727297/2289626
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2723613/2289627
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2722843/2289628
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727370/2289629
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.22616501
title: Additional file 1 of Genome-wide identification and expression analysis of peach multiple organellar RNA editing factors reveals the roles of RNA editing in plant immunity

description: Additional file 1: Table S1. Detailed information of chloroplast RNA editing sites identified in peach leaves.
DOI: 10.25582/data.2023-02.2729531/2289630
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.22616501.v1
title: Additional file 1 of Genome-wide identification and expression analysis of peach multiple organellar RNA editing factors reveals the roles of RNA editing in plant immunity

description: Additional file 1: Table S1. Detailed information of chloroplast RNA editing sites identified in peach leaves.
DOI: 10.6084/m9.figshare.14227891
title: Additional file 3 of Comparative transcriptome analysis of the newly discovered insect vector of the pine wood nematode in China, revealing putative genes related to host plant adaptation

description: Additional file 3: Table S1. Annotation of the 32,304 non-redundant transcripts.
DOI: 10.6084/m9.figshare.14227891.v1
title: Additional file 3 of Comparative transcriptome analysis of the newly discovered insect vector of the pine wood nematode in China, revealing putative genes related to host plant adaptation

description: Additional file 3: Table S1. Annotation of the 32,304 non-redundant transcripts.
DOI: 10.6084/m9.figshare.22616504
title: Additional file 2 of Genome-wide identification and expression analysis of peach multiple organellar RNA editing factors reveals the roles of RNA editing in plant immunity

description: Additional file 2: Table S2. Detailed information of chloroplast RNA editing sites identified in peach fruits.
DOI: 10.25582/data.2023-01.2724672/2289631
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.22616504.v1
title: Additional file 2 of Genome-wide identification and expression analysis of peach multiple organellar RNA editing factors reveals the roles of RNA editing in plant immunity

description: Additional file 2: Table S2. Detailed information of chloroplast RNA editing sites identified in peach fruits.
DOI: 10.6084/m9.figshare.22616507
title: Additional file 3 of Genome-wide identification and expression analysis of peach multiple organellar RNA editing factors reveals the roles of RNA editing in plant immunity

description: Additional file 3: Table S3. Detailed information of differential expressed PpMORF genes under Xap infection and UVB irradiation treatments.
DOI: 10.25582/data.2023-02.2728291/2289632
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.22616507.v1
title: Additional file 3 of Genome-wide identification and expression analysis of peach multiple organellar RNA editing factors reveals the roles of RNA editing in plant immunity

description: Additional file 3: Table S3. Detailed information of differential expressed PpMORF genes under Xap infection and UVB irradiation treatments.
DOI: 10.6084/m9.figshare.14227909
title: Additional file 9 of Comparative transcriptome analysis of the newly discovered insect vector of the pine wood nematode in China, revealing putative genes related to host plant adaptation

description: Additional file 9: Table S3. Annotation of the 2166 differentially expressed genes.
DOI: 10.25582/data.2023-01.2724935/2289633
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14227909.v1
title: Additional file 9 of Comparative transcriptome analysis of the newly discovered insect vector of the pine wood nematode in China, revealing putative genes related to host plant adaptation

description: Additional file 9: Table S3. Annotation of the 2166 differentially expressed genes.
DOI: 10.25582/data.2023-01.2724060/2289634
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727362/2289635
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727401/2289636
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727541/2289637
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727452/2289638
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2723610/2289639
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2730196/2289640
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2729523/2289641
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2727284/2289642
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2724129/2289643
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2727447/2289644
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2729920/2289645
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2726981/2289646
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2729955/2289647
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2730213/2289648
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.23665119
title: Additional file 7 of Comprehensive analysis of m6A regulators characterized by the immune microenvironment in Duchenne muscular dystrophy

description: Additional file 7: Table S1. Clinical background information of the human participants. Table S2. Difference on immune related gene sets between healthy and DMD samples. Table S3. Difference on immune cell infiltration fraction between healthy and DMD samples. Table S4. Difference on HLA gene expression between healthy and DMD samples. Table S5. m6A RNA methylation regulators. Table S6. Expression diversity of m6A regulators. Table S7. Correlations between m6A regulators and transcription factors. Table S8. Univariate logistic regression of m6A regulators. Table S9. LASSO regression coefficient. Table S10. Correlation between m6A regulators and immune related gene sets. Table S11. Correlations between m6A regulators and immune cell infiltration fraction. Table S12. Correlation between m6A regulators and HLA gene. Table S13. m6A modification patterns. Table S14. m6A related genes. Table S15. Change of sample attributes.
DOI: 10.6084/m9.figshare.23665119.v1
title: Additional file 7 of Comprehensive analysis of m6A regulators characterized by the immune microenvironment in Duchenne muscular dystrophy

description: Additional file 7: Table S1. Clinical background information of the human participants. Table S2. Difference on immune related gene sets between healthy and DMD samples. Table S3. Difference on immune cell infiltration fraction between healthy and DMD samples. Table S4. Difference on HLA gene expression between healthy and DMD samples. Table S5. m6A RNA methylation regulators. Table S6. Expression diversity of m6A regulators. Table S7. Correlations between m6A regulators and transcription factors. Table S8. Univariate logistic regression of m6A regulators. Table S9. LASSO regression coefficient. Table S10. Correlation between m6A regulators and immune related gene sets. Table S11. Correlations between m6A regulators and immune cell infiltration fraction. Table S12. Correlation between m6A regulators and HLA gene. Table S13. m6A modification patterns. Table S14. m6A related genes. Table S15. Change of sample attributes.
DOI: 10.25582/data.2023-01.2725321/2289649
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.22616546
title: Additional file 7 of Comprehensive identification and expression analyses of the SnRK gene family in Casuarina equisetifolia in response to salt stress

description: Additional file 7: Table S1 Details of the identified CeqSnRK genes. Table S2. The prediction of subcellularlocalization. Table S3. Details of SnRKgenes from Arabidopsis, rice, grapevine, and Populous trichocarpa.Table S4. Detailed information for the 20 motifs in the SnRK proteins of Casuarina equisetifolia. Table S5. Ka/Ks ratios of paralogous andorthologous gene pairs. Table S6. Promoteranalysis of the CeqSnRK genes. TableS7. Promoter analysis of the CeqSnRK genes. Table S8. List of primer sequences used for RT-qPCRanalysis of the CeqSnRK genes.
DOI: 10.6084/m9.figshare.22616546.v1
title: Additional file 7 of Comprehensive identification and expression analyses of the SnRK gene family in Casuarina equisetifolia in response to salt stress

description: Additional file 7: Table S1 Details of the identified CeqSnRK genes. Table S2. The prediction of subcellularlocalization. Table S3. Details of SnRKgenes from Arabidopsis, rice, grapevine, and Populous trichocarpa.Table S4. Detailed information for the 20 motifs in the SnRK proteins of Casuarina equisetifolia. Table S5. Ka/Ks ratios of paralogous andorthologous gene pairs. Table S6. Promoteranalysis of the CeqSnRK genes. TableS7. Promoter analysis of the CeqSnRK genes. Table S8. List of primer sequences used for RT-qPCRanalysis of the CeqSnRK genes.
DOI: 10.6084/m9.figshare.812610.v1
title: Responses to Stimulus 13

description: Matlab data file gathering continuous measures of emotion, subjective and physiological, to repeated listenings of stimulus 13,Stampede,The Quantic Soul Orchestra, in the solo response project.<br>Please refere to Readme.txt for more details, and http://soloresponseproject.com/ for related research.
DOI: 10.6084/m9.figshare.812611.v1
title: Responses to Stimulus 12

description: Matlab data file gathering continuous measures of emotion, subjective and physiological, to repeated listenings of stimulus 12,Dutch,Dessa, in the solo response project. Please refere to Readme.txt for more details, and http://soloresponseproject.com/ for related research.
DOI: 10.6084/m9.figshare.812619.v3
title: Zandra Rhodes Collections 1979-1987

description: During the Zandra Rhodes Digital Study Collection project, a list was drawn up by the Digital Cataloguer to enable users to browse the digital images by Fashion Collection. There were several issues and not all of these could be resolved during the project. References for the list of Fashion Collections included a list prepared by a previous member of staff called Jill ('Jill’s List' dated January 2007 was provided as the main reference for cataloguing by Frances Diplock, Metadata Researcher). There was also a list prepared by a student intern which Zandra Rhodes had in her personal diary which I was allowed to photocopy. Other sources of information included ‘The Art of Zandra Rhodes’ book, the Style Bibles, postcards, posters and fashion show invitations held in the Zandra Rhodes Archives in London. A few anomalies (such as re-issued designs, or styles with a different number to the Fashion Collection year such as 82/224 for 1983) were discussed during the project with Frances Diplock, Production Manager and employee since 1976. This dataset now additionally includes information gathered from the press-cuttings and literature review carried out for the research grant.
DOI: 10.6084/m9.figshare.812620.v4
title: Zandra Rhodes Licences 1979-1987

description: This information was gathered from reading the press-cuttings for the period held in the Zandra Rhodes Archives. It is acknowledged that the data could be improved by providing more detail and this may be possible in the future. Please note that this information is provided in addition to the content provided on the Zandra Rhodes Web site at: http://www.zandrarhodes.com/past-licences
DOI: 10.6084/m9.figshare.812608
title: Responses to Stimulus 10

description: Matlab data file gathering continuous measures of emotion, subjective and physiological, to repeated listenings of stimulus 10,String Quartet No. 14 in C-Sharp Minor Op. 131: II. Allegro molto Vivace et III. Andante moderato,Artemis Quartet,Beethoven in the solo response project.<br>Please refere to Readme.txt for more details, and http://soloresponseproject.com/ for related research.