cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19498687
title: Additional file 2 of Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM

description: Additional file 2. Table S1 Characteristics of the ATM variants identified by targeted-sequencing in the Australian Breast Cancer Family Registry. Legend: HGVSc and HGVSp: variant nomenclature according to the Human Genome Variation Society (HGVS), HGVS.c for coding DNA and HGVS.p for protein variants. ClinVar: classification accessed July 2021. NA indicates that classification was not available. AGVGD: for missense variants only, grade obtained from the web version of Align-GVGD. Only C55 and C65 scores were considered deleterious in this analysis. ATM domain: PFAM FAT (residues 2096–2849), PPI3_PI4_kinase (residues 2713–2962) and FATC (residues 3025–3056) domain definitions were used (missense variants only).
DOI: 10.6084/m9.figshare.19498687.v1
title: Additional file 2 of Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM

description: Additional file 2. Table S1 Characteristics of the ATM variants identified by targeted-sequencing in the Australian Breast Cancer Family Registry. Legend: HGVSc and HGVSp: variant nomenclature according to the Human Genome Variation Society (HGVS), HGVS.c for coding DNA and HGVS.p for protein variants. ClinVar: classification accessed July 2021. NA indicates that classification was not available. AGVGD: for missense variants only, grade obtained from the web version of Align-GVGD. Only C55 and C65 scores were considered deleterious in this analysis. ATM domain: PFAM FAT (residues 2096–2849), PPI3_PI4_kinase (residues 2713–2962) and FATC (residues 3025–3056) domain definitions were used (missense variants only).
DOI: 10.25582/data.2023-01.2718284/2291574
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2719423/2291575
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19498690
title: Additional file 3 of Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM

description: Additional file 3. Table S2 Baseline characteristics of ATM pathogenic variant carriers, by carrier status.
DOI: 10.6084/m9.figshare.19498690.v1
title: Additional file 3 of Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM

description: Additional file 3. Table S2 Baseline characteristics of ATM pathogenic variant carriers, by carrier status.
DOI: 10.25582/data.2023-01.2717174/2291576
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19498693
title: Additional file 4 of Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM

description: Additional file 4. Table S3 Cumulative risks of breast cancer to various ages for carriers of ATM pathogenic variants.
DOI: 10.25582/data.2023-01.2722544/2291577
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19498693.v1
title: Additional file 4 of Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM

description: Additional file 4. Table S3 Cumulative risks of breast cancer to various ages for carriers of ATM pathogenic variants.
DOI: 10.25582/data.2023-02.2731793/2291578
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25549/usctheses-c3-361564
title: etd-YangFan-2235a
DOI: 10.25582/data.2023-01.2720888/2291579
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2731538/2291580
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.19498692
title: Additional file 6 of Carbohydrate regulation response to cold during rhizome bud dormancy release in Polygonatum kingianum

description: Additional file 6: Table S1. Log2FC value of each gene related to 6 carbohydrate metabolism pathways.
DOI: 10.6084/m9.figshare.19498692.v1
title: Additional file 6 of Carbohydrate regulation response to cold during rhizome bud dormancy release in Polygonatum kingianum

description: Additional file 6: Table S1. Log2FC value of each gene related to 6 carbohydrate metabolism pathways.
DOI: 10.25582/data.2023-01.2719350/2291581
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19498695
title: Additional file 7 of Carbohydrate regulation response to cold during rhizome bud dormancy release in Polygonatum kingianum

description: Additional file 7: Table S2. Parameters generated by gene coexpression analysis.
DOI: 10.25582/data.2023-01.2722645/2291582
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19498695.v1
title: Additional file 7 of Carbohydrate regulation response to cold during rhizome bud dormancy release in Polygonatum kingianum

description: Additional file 7: Table S2. Parameters generated by gene coexpression analysis.
DOI: 10.25582/data.2023-01.2714749/2291583
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19498696
title: Additional file 1 of From non-targeted to targeted GC–MS metabolomics strategy for identification of TCM preparations containing natural and artificial musk

description: Additional file 1: Table S1. Sample information of natural musk and artificial musk. Table S2. Sample information of compound Pian Tze Huang preparations. Table S3. Specificity of the compound Pien Tze Huang preparations. Table S4. Precision of the compound Pien Tze Huang preparations (n = 6). Table S5. Repeatability and stability of the compound Pien Tze Huang preparations.
DOI: 10.6084/m9.figshare.19498696.v1
title: Additional file 1 of From non-targeted to targeted GC–MS metabolomics strategy for identification of TCM preparations containing natural and artificial musk

description: Additional file 1: Table S1. Sample information of natural musk and artificial musk. Table S2. Sample information of compound Pian Tze Huang preparations. Table S3. Specificity of the compound Pien Tze Huang preparations. Table S4. Precision of the compound Pien Tze Huang preparations (n = 6). Table S5. Repeatability and stability of the compound Pien Tze Huang preparations.
DOI: 10.25582/data.2023-02.2731837/2291584
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731814/2291585
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2726474/2291586
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2723547/2291587
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2731725/2291588
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732049/2291589
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731491/2291590
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2719837/2291591
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2722818/2291592
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2730974/2291593
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731979/2291594
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2731493/2291595
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732058/2291596
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2717006/2291597
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717455/2291598
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718477/2291599
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.7964513
title: Supplementary Data 1 from Abnormal arachidonic acid metabolic network may reduce sperm motility via P38 MAPK

description: Original images of western blot results included in Fig 2.
DOI: 10.25582/data.2023-01.2717458/2291600
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.7964513.v1
title: Supplementary Data 1 from Abnormal arachidonic acid metabolic network may reduce sperm motility via P38 MAPK

description: Original images of western blot results included in Fig 2.
DOI: 10.25582/data.2023-02.2731648/2291601
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732036/2291602
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2718042/2291603
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2716594/2291604
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2731863/2291605
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732148/2291606
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2717412/2291607
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718502/2291608
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717390/2291609
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2720276/2291610
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2723534/2291611
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717422/2291612
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718357/2291613
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2712870/2291614
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2722671/2291615
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718370/2291616
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718421/2291617
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2731700/2291618
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2720045/2291619
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718904/2291620
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25549/usctheses-c3-256665
title: Transient energy, for wind ensemble
DOI: 10.25582/data.2023-01.2718482/2291621
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2719488/2291622
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718143/2291623
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2730979/2291624
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2713475/2291625
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732041/2291626
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2717138/2291627
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2719250/2291628
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2726590/2291629
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2717456/2291630
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2731707/2291631
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2713488/2291632
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718833/2291633
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717903/2291634
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2722521/2291635
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25549/usctheses-c3-256660
title: Ma?konja for solo baritone and chamber ensemble
DOI: 10.25582/data.2023-02.2726439/2291636
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25549/usctheses-c3-256658
title: II movement
DOI: 10.25582/data.2023-01.2720368/2291637
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24741875
title: Additional file 1 of Association between the MCP-1 -2518 A &gt; G (rs1024611) polymorphism and susceptibility to type 2 diabetes mellitus and diabetic nephropathy: a meta-analysis

description: Additional file 1: Figure S1. Forest plot of T2DM risk with the dominant model (GG+GA vs. AA) (T2DM vs. healthy control) of the MCP-1 rs1024611 polymorphism. (A) for the overall populations and (B) genotyping method; (C) age- and sex- adjusted; (D) and comorbid chronic disease subgroups. Figure S2. Forest plot of DN risk with the dominant model (GG+GA vs. AA) (DN vs. healthy control) of the MCP-1 rs1024611 polymorphism. (A) for the overall populations and (B) genotyping method; (C) age- and sex- adjusted; (D) and comorbid chronic disease subgroups. Figure S3. Forest plot of DN risk with the dominant model (GG+GA vs. AA) (DN vs. T2DM) of the MCP-1 rs1024611 polymorphism. (A) for the overall populations and (B) genotyping method; (C) age- and sex- adjusted; (D) and comorbid chronic disease subgroups. Figure S4. Sensitivity analysis via deletion of each individual study (T2DM vs. healthy control). (A) for GG+GA vs. AA and (B) GG vs.GA + AA; (C) GG vs. AA; (D) GG vs. GA; (E) and G vs. A models. Figure S5. Sensitivity analysis via deletion of each individual study (DN vs. healthy control). (A) for GG+GA vs. AA and (B) GG vs.GA + AA; (C) GG vs. AA; (D) GG vs. GA; (E) and G vs. A models. Figure S6. Sensitivity analysis via deletion of each individual study (DN vs. T2DM). (A) for GG+GA vs. AA and (B) GG vs.GA + AA; (C) GG vs. AA; (D) GG vs. GA; (E) and G vs. A models. Table S1. The comprehensive search strategies for different databases. Table S2. Main characteristic of included observational studies evaluating the relationship between the MCP-1 rs1024611 polymorphism and DN/T2DM risk. Table S3. Meta-analysis of the association between the MCP-1 rs1024611polymorphism and T2DM risk (T2DM vs. healthy control). Table S4. Meta-analysis of the association between the MCP-1 rs1024611polymorphism and DN risk (DN vs. healthy control). Table S5. Meta-analysis of the association between the MCP-1 rs1024611polymorphism and DN risk (DN vs. T2DM).
DOI: 10.25549/usctheses-c3-256663
title: Three piano pieces
DOI: 10.6084/m9.figshare.24741875.v1
title: Additional file 1 of Association between the MCP-1 -2518 A &gt; G (rs1024611) polymorphism and susceptibility to type 2 diabetes mellitus and diabetic nephropathy: a meta-analysis

description: Additional file 1: Figure S1. Forest plot of T2DM risk with the dominant model (GG+GA vs. AA) (T2DM vs. healthy control) of the MCP-1 rs1024611 polymorphism. (A) for the overall populations and (B) genotyping method; (C) age- and sex- adjusted; (D) and comorbid chronic disease subgroups. Figure S2. Forest plot of DN risk with the dominant model (GG+GA vs. AA) (DN vs. healthy control) of the MCP-1 rs1024611 polymorphism. (A) for the overall populations and (B) genotyping method; (C) age- and sex- adjusted; (D) and comorbid chronic disease subgroups. Figure S3. Forest plot of DN risk with the dominant model (GG+GA vs. AA) (DN vs. T2DM) of the MCP-1 rs1024611 polymorphism. (A) for the overall populations and (B) genotyping method; (C) age- and sex- adjusted; (D) and comorbid chronic disease subgroups. Figure S4. Sensitivity analysis via deletion of each individual study (T2DM vs. healthy control). (A) for GG+GA vs. AA and (B) GG vs.GA + AA; (C) GG vs. AA; (D) GG vs. GA; (E) and G vs. A models. Figure S5. Sensitivity analysis via deletion of each individual study (DN vs. healthy control). (A) for GG+GA vs. AA and (B) GG vs.GA + AA; (C) GG vs. AA; (D) GG vs. GA; (E) and G vs. A models. Figure S6. Sensitivity analysis via deletion of each individual study (DN vs. T2DM). (A) for GG+GA vs. AA and (B) GG vs.GA + AA; (C) GG vs. AA; (D) GG vs. GA; (E) and G vs. A models. Table S1. The comprehensive search strategies for different databases. Table S2. Main characteristic of included observational studies evaluating the relationship between the MCP-1 rs1024611 polymorphism and DN/T2DM risk. Table S3. Meta-analysis of the association between the MCP-1 rs1024611polymorphism and T2DM risk (T2DM vs. healthy control). Table S4. Meta-analysis of the association between the MCP-1 rs1024611polymorphism and DN risk (DN vs. healthy control). Table S5. Meta-analysis of the association between the MCP-1 rs1024611polymorphism and DN risk (DN vs. T2DM).
DOI: 10.25549/usctheses-ouc11292718
title: Microsoft Word - $ASQsupp_undefined_C7545106-17CE-11E1-B97D-937CEF8616FA.doc
DOI: 10.25582/data.2023-02.2731593/2291638
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2718104/2291639
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2716625/2291640
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25549/usctheses-ouc11292739
title: Are you there, God? It's me, TV
DOI: 10.25582/data.2023-01.2718445/2291641
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2716622/2291642
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2719555/2291643
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25549/usctheses-ouc11292756
title: Microsoft Word - Corrections3.15.12_Guirguis_Full Dissertation_.docx
DOI: 10.25549/usctheses-ouc11292757
title: thesis.dvi
DOI: 10.25582/data.2023-01.2719526/2291644
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2713525/2291645
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718417/2291646
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.9537590
title: Genome-wide characterisation of superoxide dismutase genes in grape and their expression analyses during berry development process

description: Previous studies about superoxide dismutase (<i>SOD</i>) genes were mostly with regard to biotic and abiotic stress responses. Some reports have indicated <i>SOD</i> genes may play an important role in plant development. However, little is known about the relationship of <i>SOD</i> genes with grape berry ripening. Thirteen <i>VviSOD</i> genes were identified from grape genome sequences based on the bioinformatic method. Phylogenetic analysis indicated that these VviSODs could be divided into two groups. The genes of <i>VviCu/ZnSOD1a</i> and <i>VviCu/ZnSOD1c</i> were identified as tandem replication genes. The expression analyses based on RNA-Seq and qRT-PCR results in ‘Kyoho’ and its early-ripening bud mutant, ‘Fengzao’, demonstrated that the <i>VviSOD</i> genes involved in the grape berry ripening and <i>VviCu/ZnSOD1c</i> were the main candidate. Sequence analysis of <i>VviCu/ZnSOD1c</i> gene in ‘Fengzao’ showed that the coding sequence was the same as that of ‘Kyoho’. According to the bioinformatic and expression analysis, <i>VviSOD</i> genes probably involved in the grape berry ripening and <i>VviCu/ZnSOD1c</i> was selected as the main candidate to further explore its potential role in the early ripening of ‘Fengzao’.
DOI: 10.6084/m9.figshare.9537590.v1
title: Genome-wide characterisation of superoxide dismutase genes in grape and their expression analyses during berry development process

description: Previous studies about superoxide dismutase (<i>SOD</i>) genes were mostly with regard to biotic and abiotic stress responses. Some reports have indicated <i>SOD</i> genes may play an important role in plant development. However, little is known about the relationship of <i>SOD</i> genes with grape berry ripening. Thirteen <i>VviSOD</i> genes were identified from grape genome sequences based on the bioinformatic method. Phylogenetic analysis indicated that these VviSODs could be divided into two groups. The genes of <i>VviCu/ZnSOD1a</i> and <i>VviCu/ZnSOD1c</i> were identified as tandem replication genes. The expression analyses based on RNA-Seq and qRT-PCR results in ‘Kyoho’ and its early-ripening bud mutant, ‘Fengzao’, demonstrated that the <i>VviSOD</i> genes involved in the grape berry ripening and <i>VviCu/ZnSOD1c</i> were the main candidate. Sequence analysis of <i>VviCu/ZnSOD1c</i> gene in ‘Fengzao’ showed that the coding sequence was the same as that of ‘Kyoho’. According to the bioinformatic and expression analysis, <i>VviSOD</i> genes probably involved in the grape berry ripening and <i>VviCu/ZnSOD1c</i> was selected as the main candidate to further explore its potential role in the early ripening of ‘Fengzao’.
DOI: 10.25582/data.2023-01.2720617/2291647
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2718387/2291648
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2717404/2291649
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.11634777
title: Cervical pessary for preventing preterm birth in singletons and twin pregnancies: an update systematic review and meta-analysis

description: To evaluate the effectiveness of cervical pessary in preventing preterm birth (PTB) and improving perinatal outcomes among singleton and twin pregnancies. Electronic databases were systematically searched from their inception until 14 March 2019. Randomized clinical trials comparing the effectiveness of cervical pessary placement with expectant management were included. The primary outcome was the incidence of PTB &lt;34 weeks. Thirteen studies were included, involving eight studies about singleton and six studies about twin pregnancies. For singleton pregnancies with short cervical length, cervical pessary, comparing with expectant treatment, seemed have no effectiveness in preventing PTB &lt;34 weeks (relative risk, 95% confidence interval, 0.73, 0.42–1.28), &lt;37 weeks (0.69, 0.43–1.09), and &lt;28 weeks (0.79, 0.42–1.48); while for twin pregnancies with short cervical length, cervical pessary also did not reduce the risk of PTB &lt;34 weeks (0.81, 0.49–1.35), &lt;37 weeks (0.93, 0.83–1.05), and &lt;28 weeks (0.72, 0.38–1.38). However, cervical pessary seemed have the effectiveness of reducing the risk of spontaneous PTB &lt;28 weeks (0.50, 0.25–0.99) and low birth weight (&lt;1500 g) (0.68, 0.50–0.94) among twin pregnancies with short cervical length. In addition, cervical pessary increased the rate of vaginal discharge and did not improve perinatal outcomes among both singleton and twin pregnancies. Comparing with the expectant treatment, the effectiveness of cervical pessary for reducing the risk of PTB remains uncertain. Additional trials are warranted to further evaluate the effectiveness of cervical pessary.
DOI: 10.25582/data.2023-01.2718135/2291650
title: Data for EMSL Project 51287 from January 2023