cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6182192.v1
title: Membrane Potential (Windows version)

description: Membrane Potential is a computer program that lets you study some of the factors that affect the value of the membrane potential in mammalian cells as well as to explore the basis for action potentials and synaptic potentials in excitable cells.
DOI: 10.6084/m9.figshare.6182180
title: Database_Physiological responses to acute cold exposure in young lean men.xlsx

description: Here we provide the database of the paper titled: Physiological responses to acute cold exposure in young lean men. Pay attention only to the Database version 3
DOI: 10.6084/m9.figshare.6182180.v1
title: DataBase_Physiological responses to acute cold exposure in young lean men.xlsx

description: Here we provide the database of the paper titled: Physiological responses to acute cold exposure in young lean men.
DOI: 10.6084/m9.figshare.6182180.v2
title: DataBase_Physiological responses to acute cold exposure in young lean men.xlsx

description: Here we provide the database of the paper titled: Physiological responses to acute cold exposure in young lean men. Pay attention only to the Data Base version 2
DOI: 10.6084/m9.figshare.6182159
title: Nutrition Eduation Ecuador

description: This is a Book for Nutrition Education for Children age 5-7 to learn about local foods. Also a manual for Nutrition Education for rural women.
DOI: 10.6084/m9.figshare.6182159.v1
title: Nutrition Eduation Ecuado

description: This is a Book for Nutrition Education for Children age 5-7 to learn about local foods. Also a manual for Nutrition Education of rural women.
DOI: 10.6084/m9.figshare.6181871
title: A new framework for H2-optimal model reduction

description: In this contribution, a new framework for H2-optimal reduction is presented, motivated by the local nature of both (tangential) interpolation and H2-optimal approximations. The main advantage is given by a decoupling of the cost of reduction from the cost of optimization, resulting in a significant speedup in H2-optimal reduction. In addition, a middle-sized surrogate model is produced at no additional cost and can be used e.g. for error estimation. Numerical examples illustrate the new framework, showing its effectiveness in producing H2-optimal reduced models at a far lower cost than conventional algorithms. Detailed discussions and optimality proofs are presented for applying this framework to the reduction of multiple-input, multiple-output linear dynamical systems. The paper ends with a brief discussion on how this framework could be extended to other system classes, thus indicating how this truly is a general framework for interpolatory H2 reduction.
DOI: 10.6084/m9.figshare.6181871.v2
title: A new framework for H2-optimal model reduction

description: In this contribution, a new framework for H2-optimal reduction is presented, motivated by the local nature of both (tangential) interpolation and H2-optimal approximations. The main advantage is given by a decoupling of the cost of reduction from the cost of optimization, resulting in a significant speedup in H2-optimal reduction. In addition, a middle-sized surrogate model is produced at no additional cost and can be used e.g. for error estimation. Numerical examples illustrate the new framework, showing its effectiveness in producing H2-optimal reduced models at a far lower cost than conventional algorithms. Detailed discussions and optimality proofs are presented for applying this framework to the reduction of multiple-input, multiple-output linear dynamical systems. The paper ends with a brief discussion on how this framework could be extended to other system classes, thus indicating how this truly is a general framework for interpolatory H2 reduction.
DOI: 10.6084/m9.figshare.6181871.v1
title: A new framework for H2-optimal model reduction

description: In this contribution, a new framework for H2-optimal reduction is presented, motivated by the local nature of both (tangential) interpolation and H2-optimal approximations. The main advantage is given by a decoupling of the cost of reduction from the cost of optimization, resulting in a significant speedup in H2-optimal reduction. In addition, a middle-sized surrogate model is produced at no additional cost and can be used e.g. for error estimation. Numerical examples illustrate the new framework, showing its effectiveness in producing H2-optimal reduced models at a far lower cost than conventional algorithms. Detailed discussions and optimality proofs are presented for applying this framework to the reduction of multiple-input, multiple-output linear dynamical systems. The paper ends with a brief discussion on how this framework could be extended to other system classes, thus indicating how this truly is a general framework for interpolatory H2 reduction.
DOI: 10.6084/m9.figshare.6181844
title: Supplementary Material for: Multiples of Median-Transformed, Normalized Reference Ranges of Steroid Profiling Data Independent of Age, Sex, and Units

description: <b><i>Background/Aims:</i></b> The high complexity of pediatric reference ranges across age, sex, and units impairs clinical application and comparability of steroid hormone data, e.g., in congenital adrenal hyperplasia (CAH). We developed a multiples-of-median (MoM) normalization tool to overcome this major drawback in pediatric endocrinology. <b><i>Methods:</i></b> Liquid chromatography tandem mass spectrometry data comprising 10 steroid hormones representing 905 controls (555 males, 350 females, 0 to &gt; 16 years) from 2 previous datasets were MoM transformed across age and sex. Twenty-three genetically proven CAH patients were included (21-hydroxylase deficiency [21OHD], <i>n</i> = 19; 11β-hydroxylase deficiency [11OHD], <i>n</i> = 4). MoM cutoffs for single steroids predicting 21OHD and 11OHD were computed and validated through new, independent patients (21OHD, <i>n</i> = 8; adrenal cortical carcinoma, <i>n</i> = 6; obesity, <i>n</i> = 40). <b><i>Results:</i></b> 21OHD and 11OHD patients showed disease-typical, easily recognizable MoM patterns independent of age, sex, and concentration units. Two single-steroid cutoffs indicated 21OHD: 3.87 MoM for 17-hydroxyprogesterone (100% sensitivity and 98.83% specificity) and 12.28 MoM for 21-deoxycortisol (94.74% sensitivity and 100% specificity). A cutoff of 13.18 MoM for 11-deoxycortisol indicated 11OHD (100% sensitivity and 100% specificity). <b><i>Conclusions:</i></b> Age- and sex-independent MoMs are straightforward for a clinically relevant display of multi-steroid patterns. In addition, defined single-steroid MoMs can serve alone as predictors of 21OHD and 11OHD. Finally, MoM transformation offers substantial enhancement of routine and scientific steroid hormone data exchange due to improved comparability.
DOI: 10.6084/m9.figshare.6181844.v1
title: Supplementary Material for: Multiples of Median-Transformed, Normalized Reference Ranges of Steroid Profiling Data Independent of Age, Sex, and Units

description: <b><i>Background/Aims:</i></b> The high complexity of pediatric reference ranges across age, sex, and units impairs clinical application and comparability of steroid hormone data, e.g., in congenital adrenal hyperplasia (CAH). We developed a multiples-of-median (MoM) normalization tool to overcome this major drawback in pediatric endocrinology. <b><i>Methods:</i></b> Liquid chromatography tandem mass spectrometry data comprising 10 steroid hormones representing 905 controls (555 males, 350 females, 0 to &gt; 16 years) from 2 previous datasets were MoM transformed across age and sex. Twenty-three genetically proven CAH patients were included (21-hydroxylase deficiency [21OHD], <i>n</i> = 19; 11β-hydroxylase deficiency [11OHD], <i>n</i> = 4). MoM cutoffs for single steroids predicting 21OHD and 11OHD were computed and validated through new, independent patients (21OHD, <i>n</i> = 8; adrenal cortical carcinoma, <i>n</i> = 6; obesity, <i>n</i> = 40). <b><i>Results:</i></b> 21OHD and 11OHD patients showed disease-typical, easily recognizable MoM patterns independent of age, sex, and concentration units. Two single-steroid cutoffs indicated 21OHD: 3.87 MoM for 17-hydroxyprogesterone (100% sensitivity and 98.83% specificity) and 12.28 MoM for 21-deoxycortisol (94.74% sensitivity and 100% specificity). A cutoff of 13.18 MoM for 11-deoxycortisol indicated 11OHD (100% sensitivity and 100% specificity). <b><i>Conclusions:</i></b> Age- and sex-independent MoMs are straightforward for a clinically relevant display of multi-steroid patterns. In addition, defined single-steroid MoMs can serve alone as predictors of 21OHD and 11OHD. Finally, MoM transformation offers substantial enhancement of routine and scientific steroid hormone data exchange due to improved comparability.
DOI: 10.6084/m9.figshare.6181823
title: Biogenic volatile release from permafrost thaw determined by microbial soil sink

description: Supplementary data for the article:<br>Kramshøj et al. (2018) Biogenic volatile release from permafrost thaw determined by microbial soil sink. Nature Communications.<br><br>
DOI: 10.17045/sthlmuni.6181772
title: Hierarchical PFAMs annotated within nodules of the actinorhizal hosts Datisca glomerata and Ceanothus thyrsiflorus.

description: Averaged Transcript per Million reads (TPM) covering the Top 100 contigs assigned within the “biological process” category of <i>Datisca glomerata</i> and <i>Ceanothus thyrsiflorus.</i>
DOI: 10.17045/sthlmuni.6181766
title: Enzymes involved in ROS scavenging in nodules of Datisca glomerata and Ceanothus thyrsiflorus.

description: The nodules transcriptomes of <i>Datisca glomerata</i> and <i>Ceanothus thyrsiflorus</i> were de novo assembled by Trinity and annotated using the Trinotate pipeline. Transcript abundance was estimated for enzymes involved in ROS detoxification by RSEM and presented as transcript per million reads (TPM).<br>
DOI: 10.17045/sthlmuni.6181763
title: Functional annotation of the nodule transcriptome of the actinorhizal hosts Datisca glomerata and Ceanothus thyrsiflorus.

description: The nodule transcriptome of <i>Datisca glomerata </i>was <i>de novo</i> assembled by Trinity and annotated using the Trinotate pipeline. Transcript abundance was estimated by RSEM and presented as transcript per million reads (TPM) for five independent samples.
DOI: 10.17045/sthlmuni.6181763.v1
title: Functional annotation of the nodule transcriptome of the actinorhizal hosts Datisca glomerata and Ceanothus thyrsiflorus.

description: The nodule transcriptome of <i>Datisca glomerata </i>was <i>de novo</i> assembled by Trinity and annotated using the Trinotate pipeline. Transcript abundance was estimated by RSEM and presented as transcript per million reads (TPM) for five independent samples.
DOI: 10.17045/sthlmuni.6181760
title: Expressed serine peptidases in nodules of Datisca glomerata and Ceanothus thyrsiflorus

description: The nodule transcriptomes were de novo assembled by Trinity and annotated using the Trinotate pipeline. Transcript abundance was estimated by RSEM and presented as transcript per million reads (TPM) for the subcategory of S8A serine subtilases.<br>
DOI: 10.6084/m9.figshare.6181757
title: Supplementary Material for: Prognostic Impact of DNA Repair Protein Expression in Non-Small Cell Lung Cancers Treated with Platinum-Based Chemotherapy and Subsequent Curative Lung Resection

description: <b><i>Objective:</i></b> Multimodal treatments that include preoperative platinum-based chemotherapy are fundamental to the treatment of advanced non-small cell lung cancer (NSCLC). This study aimed to investigate the predictive value of DNA repair protein expression in surgically resected NSCLCs in terms of prognosis and responses to platinum-containing chemotherapy. <b><i>Methods:</i></b> This retrospective study included 136 patients with NSCLC who were treated with preoperative platinum-based chemotherapy, followed by curative lung resection. ATM, RAD51, LKB1, H2AX, and SIRT1 expression levels were analyzed in resected tumor specimens via immunostaining and were used to classify patients and compare survival and responses to chemotherapy. <b><i>Results:</i></b> SIRT1 expression correlated significantly with improved responses to platinum-based chemotherapy (odds ratio, 2.28; <i>p</i> = 0.024), progression-free survival (hazard ratio [HR], 0.74; <i>p</i> = 0.036), overall survival (HR, 0.63; <i>p</i> = 0.006), and tumor-bearing survival (HR, 0.62; <i>p</i> = 0.014). After adjusting for clinical variables, the HR of SIRT1 expression remained significant for overall survival (HR, 0.59; <i>p</i> = 0.039) but not for progression-free survival (HR, 0.74; <i>p</i> = 0.183). No prognostic stratification was observed for the other 4 markers. <b><i>Conclusion:</i></b> Patients with SIRT1-expressing NSCLC had superior responses to chemotherapy and longer survival durations than those with SIRT1-negative cancer.
DOI: 10.6084/m9.figshare.6181757.v1
title: Supplementary Material for: Prognostic Impact of DNA Repair Protein Expression in Non-Small Cell Lung Cancers Treated with Platinum-Based Chemotherapy and Subsequent Curative Lung Resection

description: <b><i>Objective:</i></b> Multimodal treatments that include preoperative platinum-based chemotherapy are fundamental to the treatment of advanced non-small cell lung cancer (NSCLC). This study aimed to investigate the predictive value of DNA repair protein expression in surgically resected NSCLCs in terms of prognosis and responses to platinum-containing chemotherapy. <b><i>Methods:</i></b> This retrospective study included 136 patients with NSCLC who were treated with preoperative platinum-based chemotherapy, followed by curative lung resection. ATM, RAD51, LKB1, H2AX, and SIRT1 expression levels were analyzed in resected tumor specimens via immunostaining and were used to classify patients and compare survival and responses to chemotherapy. <b><i>Results:</i></b> SIRT1 expression correlated significantly with improved responses to platinum-based chemotherapy (odds ratio, 2.28; <i>p</i> = 0.024), progression-free survival (hazard ratio [HR], 0.74; <i>p</i> = 0.036), overall survival (HR, 0.63; <i>p</i> = 0.006), and tumor-bearing survival (HR, 0.62; <i>p</i> = 0.014). After adjusting for clinical variables, the HR of SIRT1 expression remained significant for overall survival (HR, 0.59; <i>p</i> = 0.039) but not for progression-free survival (HR, 0.74; <i>p</i> = 0.183). No prognostic stratification was observed for the other 4 markers. <b><i>Conclusion:</i></b> Patients with SIRT1-expressing NSCLC had superior responses to chemotherapy and longer survival durations than those with SIRT1-negative cancer.
DOI: 10.6084/m9.figshare.6181727
title: Super resolution microscopy with SPAD imagers

description: Cytoskeleton (microtubuli) of a cell with resolution down to 30 nm.<br>Reference: <br>Antolovic, I. M., Burri, S., Bruschini, C., Hoebe, R. A., & Charbon, E. (2017). SPAD imagers for super resolution localization microscopy enable analysis of fast fluorophore blinking. <i>Scientific Reports</i>, <i>7</i>. https://doi.org/10.1038/srep44108
DOI: 10.6084/m9.figshare.6181727.v1
title: Super resolution microscopy with SPAD imagers

description: Cytoskeleton (microtubuli) of a cell with resolution down to 30 nm.<br>Reference: <br>Antolovic, I. M., Burri, S., Bruschini, C., Hoebe, R. A., & Charbon, E. (2017). SPAD imagers for super resolution localization microscopy enable analysis of fast fluorophore blinking. <i>Scientific Reports</i>, <i>7</i>. https://doi.org/10.1038/srep44108
DOI: 10.6084/m9.figshare.6181706
title: Additional file 9: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Reconstruction of core, softcore- and pan-genome of Lactobacillus delbrueckii species with the Brite and pathway algorithm of GhostKOALA. (FASTA 219 kb)
DOI: 10.6084/m9.figshare.6181706.v1
title: Additional file 9: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Reconstruction of core, softcore- and pan-genome of Lactobacillus delbrueckii species with the Brite and pathway algorithm of GhostKOALA. (FASTA 219 kb)
DOI: 10.6084/m9.figshare.6181700
title: Additional file 8: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome fasta for Lactobacillus delbrueckii (Fasta). (FASTA 1226 kb)
DOI: 10.6084/m9.figshare.6181694
title: Additional file 7: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Core-genome fasta for Lactobacillus delbrueckii (Fasta). (FASTA 278 kb)
DOI: 10.6084/m9.figshare.6181694.v1
title: Additional file 7: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Core-genome fasta for Lactobacillus delbrueckii (Fasta). (FASTA 278 kb)
DOI: 10.6084/m9.figshare.6181691
title: Additional file 6: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Softcore-genome clustering of genus Lactobacillus. Heatmap clustering according to 594 softcore genes from 98 Lactobacillus genomes. Gower distance score based on ANI: Red = more similar, white = less similar. (FASTA 944 kb)
DOI: 10.6084/m9.figshare.6181691.v1
title: Additional file 6: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Softcore-genome clustering of genus Lactobacillus. Heatmap clustering according to 594 softcore genes from 98 Lactobacillus genomes. Gower distance score based on ANI: Red = more similar, white = less similar. (FASTA 944 kb)
DOI: 10.6084/m9.figshare.6181685
title: Additional file 5: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome clustering of genus Lactobacillus. Heatmap clustering according to 20,969 pan-genome genes from 99 Lactobacillus genomes including the non-complete genome of L. zeae DSM 20178. Gower distance score based on ANI: Red = more similar, white = less similar. L. zeae DSM 20178 marked with a red arrow. (FASTA 305 kb)
DOI: 10.6084/m9.figshare.6181685.v1
title: Additional file 5: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome clustering of genus Lactobacillus. Heatmap clustering according to 20,969 pan-genome genes from 99 Lactobacillus genomes including the non-complete genome of L. zeae DSM 20178. Gower distance score based on ANI: Red = more similar, white = less similar. L. zeae DSM 20178 marked with a red arrow. (FASTA 305 kb)
DOI: 10.6084/m9.figshare.6181679
title: Additional file 4: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome fasta for genus Lactobacillus (Fasta). (XLSX 48 kb)
DOI: 10.6084/m9.figshare.6181679.v1
title: Additional file 4: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome fasta for genus Lactobacillus (Fasta). (XLSX 48 kb)
DOI: 10.6084/m9.figshare.6181673
title: Additional file 3: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Core-genome fasta for genus Lactobacillus (Fasta). (XLSX 59 kb)
DOI: 10.6084/m9.figshare.12847448.v1
title: figure 13 data file

description: Text data files of figure 13 of JGR: Oceans paper: Spectral Whitecapping Dissipation-Transfer Source Function in Third Generation Wind Wave Model: Part I. Wave Evolution
DOI: 10.6084/m9.figshare.12847448
title: figure 13 data file

description: Text data files of figure 13 of JGR: Oceans paper: Spectral Whitecapping Dissipation-Transfer Source Function in Third Generation Wind Wave Model: Part I. Wave Evolution
DOI: 10.6084/m9.figshare.6181673.v1
title: Additional file 3: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Core-genome fasta for genus Lactobacillus (Fasta). (XLSX 59 kb)
DOI: 10.6084/m9.figshare.6181667
title: Additional file 2: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Home-made scripts used in this study. (XLSX 39 kb)
DOI: 10.6084/m9.figshare.6181667.v1
title: Additional file 2: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Home-made scripts used in this study. (XLSX 39 kb)
DOI: 10.6084/m9.figshare.6181664
title: Additional file 28: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome heatmap of L. helveticus. Heatmap clustering according to 3350 pan-genome genes from 19 Lactobacillus helveticus genomes. Gower distance score based on ANI: Red = more similar, white = less similar, strains with deviating cluster behavior marked with red arrows. (XLSX 36 kb)
DOI: 10.6084/m9.figshare.6181664.v1
title: Additional file 28: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome heatmap of L. helveticus. Heatmap clustering according to 3350 pan-genome genes from 19 Lactobacillus helveticus genomes. Gower distance score based on ANI: Red = more similar, white = less similar, strains with deviating cluster behavior marked with red arrows. (XLSX 36 kb)
DOI: 10.6084/m9.figshare.6181655
title: Additional file 27: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome heatmap of L. reuteri. Heatmap clustering according to 3960 pan-genome genes from 25 Lactobacillus reuteri genomes. Gower distance score based on ANI: Red = more similar, white = less similar, strains with deviating cluster behavior marked with red arrows. (FASTA 1001 kb)
DOI: 10.6084/m9.figshare.6181655.v1
title: Additional file 27: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome heatmap of L. reuteri. Heatmap clustering according to 3960 pan-genome genes from 25 Lactobacillus reuteri genomes. Gower distance score based on ANI: Red = more similar, white = less similar, strains with deviating cluster behavior marked with red arrows. (FASTA 1001 kb)
DOI: 10.6084/m9.figshare.6181643
title: Additional file 26: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome heatmap of L. plantarum. Heatmap clustering according to 7610 pan-genome genes from 122 Lactobacillus plantarum genomes. Gower distance score based on ANI: Red = more similar, white = less similar, strains with deviating cluster behavior marked with red arrows. (FASTA 469 kb)
DOI: 10.6084/m9.figshare.6181643.v1
title: Additional file 26: of Clustering of Pan- and Core-genome of Lactobacillus provides Novel Evolutionary Insights for Differentiation

description: Pan-genome heatmap of L. plantarum. Heatmap clustering according to 7610 pan-genome genes from 122 Lactobacillus plantarum genomes. Gower distance score based on ANI: Red = more similar, white = less similar, strains with deviating cluster behavior marked with red arrows. (FASTA 469 kb)
DOI: 10.6084/m9.figshare.6181634
title: MOESM4 of Modelling steroidogenesis: a framework model to support hypothesis generation and testing across endocrine studies

description: Additional file 4. Editable Graphml file of a parameterised model of rat Leydig cell steroidogenesis.
DOI: 10.6084/m9.figshare.6181634.v1
title: MOESM4 of Modelling steroidogenesis: a framework model to support hypothesis generation and testing across endocrine studies

description: Additional file 4. Editable Graphml file of a parameterised model of rat Leydig cell steroidogenesis.