cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6159182.v1
title: Adoption of evidence-based interventions by amyotrophic lateral sclerosis patients and psychological flexibility

description: <b>Sample</b>: Thirty-five people (14 female, 21 male) aged between 34 and 73 years, with Amyotrophic Lateral Sclerosis (ALS), participated in this cross-sectional research. <b><br></b><b>Main Measures</b>: Psychological flexibility (the fundamental construct of relational frame theory [RFT]), psychological well-being, gender, country of residency, depression, anxiety, stress quality of life, and understanding and acceptance of interventions (i.e., percutaneous endoscopic gastrostomy [PEG] and non-invasive ventilation [NIV]). <b><br></b><b>Results</b>: Participants with high psychological flexibility reported lower depression, anxiety, and stress, and higher quality of life. In addition, psychological flexibility was predictive of participants’ understanding and acceptance of a PEG as an intervention option. Applied RFT may be helpful for clients with ALS.<br>
DOI: 10.6084/m9.figshare.6158741
title: Additional file 1: of Identification of two different chemosensory pathways in representatives of the genus Halomonas

description: Table S1. Title: List of genomes of Halomonas species included in the phylogenetic analysis. Species shaded in gray were not included in the taxonomy phylogeny due to missing 16S and/or 23S data. Genomic sequences were obtained from NCBI, ENSEMBL BACTERIA, PATRIC. Gene predictions were obtained from NCBI or obtained using GenMark, IMG and RAST servers. Supplemental Citations: [57, 58]. software tools: GeneMark. [59]. (XLS 32 kb)
DOI: 10.6084/m9.figshare.6158741.v1
title: Additional file 1: of Identification of two different chemosensory pathways in representatives of the genus Halomonas

description: Table S1. Title: List of genomes of Halomonas species included in the phylogenetic analysis. Species shaded in gray were not included in the taxonomy phylogeny due to missing 16S and/or 23S data. Genomic sequences were obtained from NCBI, ENSEMBL BACTERIA, PATRIC. Gene predictions were obtained from NCBI or obtained using GenMark, IMG and RAST servers. Supplemental Citations: [57, 58]. software tools: GeneMark. [59]. (XLS 32 kb)
DOI: 10.6084/m9.figshare.6158657
title: Additional file 6: of Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

description: ST3. A. euteiches small secreted proteins (AeSSPs). 3a. AeSSP classification and expression. 3b. Primers used in this study. (XLSX 37 kb)
DOI: 10.6084/m9.figshare.6158657.v1
title: Additional file 6: of Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

description: ST3. A. euteiches small secreted proteins (AeSSPs). 3a. AeSSP classification and expression. 3b. Primers used in this study. (XLSX 37 kb)
DOI: 10.6084/m9.figshare.6158630
title: Additional file 5: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Data of “GDGDB RDF” (available at: http://jcggdb.jp/rdf/diseases/gdgdb ). (RDF 316 kb)
DOI: 10.6084/m9.figshare.6158624
title: Additional file 5: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Cause-specific sensitivity and specificity for InSilicoVA and Tariff 2.0. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6158624.v1
title: Additional file 5: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Cause-specific sensitivity and specificity for InSilicoVA and Tariff 2.0. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6158618
title: Additional file 3: of Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

description: ST2. A. euteiches expression analysis. 2a. Statistics of RNA-seq experiments. 2b. Percentage of up- and downregulated A. euteiches genes. 2c. Overrepresented GO terms in zoospores vs mycelium. 2d. Overrepresented GO terms at 3 dpi vs mycelium. 2e. Overrepresented GO terms at 9 dpi vs mycelium. 2f. Expression data for heatmap construction (GH). 2g. Expression data for heatmap construction (PL). 2h. Expression data for heatmap construction (proteases). 2i. Expression data for heatmap construction (CE). 2j. Expression data for heatmap construction (CBM). 2k. Expression data for heatmap construction (protease inhibitor). (XLSX 131 kb)
DOI: 10.6084/m9.figshare.6158618.v1
title: Additional file 3: of Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

description: ST2. A. euteiches expression analysis. 2a. Statistics of RNA-seq experiments. 2b. Percentage of up- and downregulated A. euteiches genes. 2c. Overrepresented GO terms in zoospores vs mycelium. 2d. Overrepresented GO terms at 3 dpi vs mycelium. 2e. Overrepresented GO terms at 9 dpi vs mycelium. 2f. Expression data for heatmap construction (GH). 2g. Expression data for heatmap construction (PL). 2h. Expression data for heatmap construction (proteases). 2i. Expression data for heatmap construction (CE). 2j. Expression data for heatmap construction (CBM). 2k. Expression data for heatmap construction (protease inhibitor). (XLSX 131 kb)
DOI: 10.6084/m9.figshare.6158615
title: Additional file 4: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Schema of “GDGDB RDF” (available at: http://jcggdb.jp/rdf/diseases/gdgdb-schema ). (RDF 12 kb)
DOI: 10.6084/m9.figshare.6158615.v1
title: Additional file 4: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Schema of “GDGDB RDF” (available at: http://jcggdb.jp/rdf/diseases/gdgdb-schema ). (RDF 12 kb)
DOI: 10.6084/m9.figshare.6158606
title: Additional file 4: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Misclassification matrix for neonatal deaths when InSilicoVA is trained using Tariff 2.0 symptoms without health care experience questions. (XLSX 5 kb)
DOI: 10.6084/m9.figshare.6158606.v1
title: Additional file 4: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Misclassification matrix for neonatal deaths when InSilicoVA is trained using Tariff 2.0 symptoms without health care experience questions. (XLSX 5 kb)
DOI: 10.6084/m9.figshare.6158594
title: Additional file 3: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Data of the GGDonto ontology (available at: http://jcggdb.jp/rdf/diseases/ggdonto ). (RDF 2288Â kb)
DOI: 10.6084/m9.figshare.6158594.v1
title: Additional file 3: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Data of the GGDonto ontology (available at: http://jcggdb.jp/rdf/diseases/ggdonto ). (RDF 2288Â kb)
DOI: 10.6084/m9.figshare.6158588
title: Additional file 3: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Misclassification matrix for child deaths when InSilicoVA is trained using Tariff 2.0 symptoms without health care experience questions. (XLSX 7 kb)
DOI: 10.6084/m9.figshare.6158588.v1
title: Additional file 3: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Misclassification matrix for child deaths when InSilicoVA is trained using Tariff 2.0 symptoms without health care experience questions. (XLSX 7 kb)
DOI: 10.6084/m9.figshare.6158579
title: Additional file 2: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Schema of the GGDonto ontology (available at: http://jcggdb.jp/rdf/diseases/ggdonto-schema ). (RDF 594Â kb)
DOI: 10.6084/m9.figshare.6158579.v1
title: Additional file 2: of GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes

description: Schema of the GGDonto ontology (available at: http://jcggdb.jp/rdf/diseases/ggdonto-schema ). (RDF 594Â kb)
DOI: 10.6084/m9.figshare.6158576
title: Additional file 2: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Misclassification matrix for adult deaths when InSilicoVA is trained using Tariff 2.0 symptoms without health care experience questions. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6158576.v1
title: Additional file 2: of Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards

description: Misclassification matrix for adult deaths when InSilicoVA is trained using Tariff 2.0 symptoms without health care experience questions. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6158567
title: Additional file 1: of Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

description: ST1. Genome features and annotations. 1a. Genome resources and nomenclature used in this study. 1b. BUSCO analysis. 1c. TE analysis. 1d. Orthology analysis (OrthoMCL) summary (nine oomycetes and Ae, Aa). 1e. OrthoMCL, group ID (11 oomycete proteomes). 1f. Ae, Aa: predicted secreted genes ID. 1g. Ae, Aa: GO analysis (secretome). 1h. Ae, Aa: specific secretomes analysis. 1i. CAZyome analysis. 1j. Fungal and oomycete pectate lyase sequences. 1k. CRN effectors predicted in Ae and Aa genomes. (XLSX 2962 kb)
DOI: 10.6084/m9.figshare.6158567.v1
title: Additional file 1: of Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

description: ST1. Genome features and annotations. 1a. Genome resources and nomenclature used in this study. 1b. BUSCO analysis. 1c. TE analysis. 1d. Orthology analysis (OrthoMCL) summary (nine oomycetes and Ae, Aa). 1e. OrthoMCL, group ID (11 oomycete proteomes). 1f. Ae, Aa: predicted secreted genes ID. 1g. Ae, Aa: GO analysis (secretome). 1h. Ae, Aa: specific secretomes analysis. 1i. CAZyome analysis. 1j. Fungal and oomycete pectate lyase sequences. 1k. CRN effectors predicted in Ae and Aa genomes. (XLSX 2962 kb)
DOI: 10.6084/m9.figshare.6158402
title: Additional file 2 of A minimal markerset for three-dimensional foot function assessment: measuring navicular drop and drift under dynamic conditions

description: Dataset. The dataset used for this article. A ZIP-archive with one text file (comma separated values;.csv) per participant, containing the stance-normalized navicular height and width time series from all analyzed steps. (ZIP 8335 kb)
DOI: 10.6084/m9.figshare.6158402.v1
title: Additional file 2 of A minimal markerset for three-dimensional foot function assessment: measuring navicular drop and drift under dynamic conditions

description: Dataset. The dataset used for this article. A ZIP-archive with one text file (comma separated values;.csv) per participant, containing the stance-normalized navicular height and width time series from all analyzed steps. (ZIP 8335 kb)
DOI: 10.6084/m9.figshare.6158345
title: MOESM9 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 9. Table S8. Previous studies that reference the 18 potential biomarker candidates. The associated categories include pancreatic diseases (IPMN, pancreatic cancer, pancreatitis), expression in the pancreas, malignancy, and association with other cancers.
DOI: 10.6084/m9.figshare.6158345.v1
title: MOESM9 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 9. Table S8. Previous studies that reference the 18 potential biomarker candidates. The associated categories include pancreatic diseases (IPMN, pancreatic cancer, pancreatitis), expression in the pancreas, malignancy, and association with other cancers.
DOI: 10.6084/m9.figshare.6158327
title: MOESM8 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 8. Table S7. Demographic and clinical characteristics of the study population for validation. A total of 19 pancreatic cyst fluid samples were used to confirm the credibility of marker candidates.
DOI: 10.6084/m9.figshare.6158327.v1
title: MOESM8 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 8. Table S7. Demographic and clinical characteristics of the study population for validation. A total of 19 pancreatic cyst fluid samples were used to confirm the credibility of marker candidates.
DOI: 10.6084/m9.figshare.6158318
title: MOESM7 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 7. Table S6. Gene ontology analysis results. GO annotation was performed using the DAVID bioinformatics tool. The p value (modified Fisher exact p value) cutoff for the GO annotation was set to
DOI: 10.6084/m9.figshare.6158318.v1
title: MOESM7 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 7. Table S6. Gene ontology analysis results. GO annotation was performed using the DAVID bioinformatics tool. The p value (modified Fisher exact p value) cutoff for the GO annotation was set to
DOI: 10.6084/m9.figshare.6158303
title: MOESM6 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 6. Table S5. List of exclusively upregulated, exclusively downregulated, and up- or downregulated proteins in all comparison groups. Of the 243 DEPs, 142 were upregulated and 91 were downregulated in at least one comparison group; 10 proteins were up- or downregulated by Studentâ s t test (INV: invasive IPMN).
DOI: 10.6084/m9.figshare.6158303.v1
title: MOESM6 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 6. Table S5. List of exclusively upregulated, exclusively downregulated, and up- or downregulated proteins in all comparison groups. Of the 243 DEPs, 142 were upregulated and 91 were downregulated in at least one comparison group; 10 proteins were up- or downregulated by Studentâ s t test (INV: invasive IPMN).
DOI: 10.6084/m9.figshare.6158273
title: MOESM5 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 5. Table S4. Results of the statistical analysis. Statistical significance, p values, and fold-changes for 1751 proteins by Student’s t test (Benjamini–Hochberg FDR = 0.05) in three comparison sets (comparison set 1, LGD versus HGD; comparison set 2, HGD versus invasive IPMN; comparison set 3, LGD versus Invasive IPMN).
DOI: 10.6084/m9.figshare.6158273.v1
title: MOESM5 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 5. Table S4. Results of the statistical analysis. Statistical significance, p values, and fold-changes for 1751 proteins by Student’s t test (Benjamini–Hochberg FDR = 0.05) in three comparison sets (comparison set 1, LGD versus HGD; comparison set 2, HGD versus invasive IPMN; comparison set 3, LGD versus Invasive IPMN).
DOI: 10.6084/m9.figshare.6158252
title: MOESM4 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 4. Table S3. Coefficient of variation (CV%) values of the sums of logarithm base two-transformed LFQ intensities of technical triplicates. The CV% values were calculated in each pancreatic cyst fluid sample (Technical replicate 1: TR1, Technical replicate 2: TR2, Technical replicate 3: TR3).
DOI: 10.6084/m9.figshare.6158252.v1
title: MOESM4 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 4. Table S3. Coefficient of variation (CV%) values of the sums of logarithm base two-transformed LFQ intensities of technical triplicates. The CV% values were calculated in each pancreatic cyst fluid sample (Technical replicate 1: TR1, Technical replicate 2: TR2, Technical replicate 3: TR3).
DOI: 10.6084/m9.figshare.6158225
title: MOESM3 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 3. Table S2. The number of identified and quantified proteins in individual samples searched with and without the peptide library. The number of identified and quantified proteins increased by 129 and 83, respectively, on average per individual samples when searched with and without the peptide library. In the same manner, the number of identified peptides rose by 752 on average in individual samples with HGD1 presenting the greatest improvement of 2109.
DOI: 10.6084/m9.figshare.6158225.v1
title: MOESM3 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 3. Table S2. The number of identified and quantified proteins in individual samples searched with and without the peptide library. The number of identified and quantified proteins increased by 129 and 83, respectively, on average per individual samples when searched with and without the peptide library. In the same manner, the number of identified peptides rose by 752 on average in individual samples with HGD1 presenting the greatest improvement of 2109.
DOI: 10.17632/f8mpz7yxnh.6
title: Data for: The Effectiveness of Cupping Therapy on Chronic Fatigue Syndrome： A Single Blind Randomized Controlled Trial

description: include all of scales Score and random table
DOI: 10.6084/m9.figshare.6158201
title: MOESM2 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 2. Table S1. List of identified proteins. MS information on identified and quantitated proteins is listed consecutively. SignalP and SecretomeP were used to identify the secreted proteins, whereas TMHMM was used to identify transmembrane proteins. The Human Plasma Proteome Database confirmed the association between the proteins that were identified in human plasma and the identified proteins of this study. Identified proteins in our dataset were crossreferenced with pancreatic expression in the Human Protein Atlas. LFQ intensities of individual samples were used for further statistical analysis. The additional proteins searched exclusively in the presence of peptide library were highlighted as the additional column in this table.
DOI: 10.6084/m9.figshare.6158201.v1
title: MOESM2 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 2. Table S1. List of identified proteins. MS information on identified and quantitated proteins is listed consecutively. SignalP and SecretomeP were used to identify the secreted proteins, whereas TMHMM was used to identify transmembrane proteins. The Human Plasma Proteome Database confirmed the association between the proteins that were identified in human plasma and the identified proteins of this study. Identified proteins in our dataset were crossreferenced with pancreatic expression in the Human Protein Atlas. LFQ intensities of individual samples were used for further statistical analysis. The additional proteins searched exclusively in the presence of peptide library were highlighted as the additional column in this table.
DOI: 10.6084/m9.figshare.6158177
title: MOESM10 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 10. Table S9. Ponceau S intensity. Densitometric analysis of Ponceau S intensities, used as an alternative loading control to actin in western blots (LGD: Low-grade dysplasia, HGD: High-grade dysplasia, INV: invasive IPMN).
DOI: 10.6084/m9.figshare.6158177.v1
title: MOESM10 of Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms

description: Additional file 10. Table S9. Ponceau S intensity. Densitometric analysis of Ponceau S intensities, used as an alternative loading control to actin in western blots (LGD: Low-grade dysplasia, HGD: High-grade dysplasia, INV: invasive IPMN).
DOI: 10.6084/m9.figshare.6158150
title: Additional file 7: of Assessment of subjective emotional valence and long-lasting impact of life events: development and psychometrics of the Stralsund Life Event List (SEL)

description: Table S2. Descriptive statistics of the life event items for 2265 analysed participants of SHIP-LEGEND. Note: Due to the life event items some information is unavailable. Due to a low using frequency and in desire to improve the inter-individual comparability, open questions were not considered in the classification process. awithout missing values, bopen questions, cRating: 1 (very positive) – 5 (very negative), dRating: 0 (no social support desired), 1(no social support) – 4 (much social support). (XLSX 25 kb)
DOI: 10.6084/m9.figshare.6158150.v1
title: Additional file 7: of Assessment of subjective emotional valence and long-lasting impact of life events: development and psychometrics of the Stralsund Life Event List (SEL)

description: Table S2. Descriptive statistics of the life event items for 2265 analysed participants of SHIP-LEGEND. Note: Due to the life event items some information is unavailable. Due to a low using frequency and in desire to improve the inter-individual comparability, open questions were not considered in the classification process. awithout missing values, bopen questions, cRating: 1 (very positive) – 5 (very negative), dRating: 0 (no social support desired), 1(no social support) – 4 (much social support). (XLSX 25 kb)
DOI: 10.6084/m9.figshare.6158123
title: Additional file 5: of Larval transcriptomic response to host plants in two related phytophagous lepidopteran species: implications for host specialization and species divergence

description: Table S7. Detailed information for DE genes displaying significant sequence similarity to genes previously described in bacteria: mean normalized counts per experimental set-up, model effects (host plant, moth species, interaction) and functional annotations. (XLSX 46Â kb)
DOI: 10.6084/m9.figshare.6158123.v1
title: Additional file 5: of Larval transcriptomic response to host plants in two related phytophagous lepidopteran species: implications for host specialization and species divergence

description: Table S7. Detailed information for DE genes displaying significant sequence similarity to genes previously described in bacteria: mean normalized counts per experimental set-up, model effects (host plant, moth species, interaction) and functional annotations. (XLSX 46Â kb)