cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12457226.v1
title: Additional file 1 of Variation in breeding practices and geographic isolation drive subpopulation differentiation, contributing to the loss of genetic diversity within dog breed lineages

description: Additional file 1.
DOI: 10.6084/m9.figshare.12457217
title: Additional file 2 of Draft genome sequence of antimicrobial producing Paenibacillus alvei strain MP1 reveals putative novel antimicrobials

description: Additional file 2: Data 2. OrthoAni_Paenibacillus_type_strains.
DOI: 10.6084/m9.figshare.12457217.v1
title: Additional file 2 of Draft genome sequence of antimicrobial producing Paenibacillus alvei strain MP1 reveals putative novel antimicrobials

description: Additional file 2: Data 2. OrthoAni_Paenibacillus_type_strains.
DOI: 10.6084/m9.figshare.12457196
title: Additional file 3 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 3. Summary statistics of the genus phenotype association analyses.
DOI: 10.6084/m9.figshare.12457202
title: Additional file 4 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 4. Summary statistics for the variance contributions of genera to net production capacities.
DOI: 10.6084/m9.figshare.12457205
title: Additional file 5 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 5. Summary statistics of the net production capacity phenotype association analyses.
DOI: 10.6084/m9.figshare.12457202.v1
title: Additional file 4 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 4. Summary statistics for the variance contributions of genera to net production capacities.
DOI: 10.6084/m9.figshare.12457196.v1
title: Additional file 3 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 3. Summary statistics of the genus phenotype association analyses.
DOI: 10.6084/m9.figshare.12457205.v1
title: Additional file 5 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 5. Summary statistics of the net production capacity phenotype association analyses.
DOI: 10.6084/m9.figshare.12457190
title: Additional file 2 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 2. Summary statistics of the species phenotype association analyses.
DOI: 10.6084/m9.figshare.12457175
title: Figure1

description: The figure1 shows the simulation results from eight different sets of numerical experiments from the 7iPWOM, designed to take advantage of data availability. The observational data set used here is based on measurements from Atmosphere Explorer (AE-C) and OGO-6 satellites, which covered from 120 km to 1200 km altitude.
DOI: 10.6084/m9.figshare.12457190.v1
title: Additional file 2 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

description: Additional file 2. Summary statistics of the species phenotype association analyses.
DOI: 10.6084/m9.figshare.12457166
title: Additional file 5 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 5 Canonical Pathways with an enrichment of significantly differentially expressed genes in idiopathic inflammatory myopathy patients PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies QIAGEN’s Ingenuity Pathway Analysis (IPA) ‘Canonical Pathways’ analysis was performed on differential expression results from RNA sequencing of 7 PM and 7 DM (5 anti-Jo1 autoantibody positive), 5 IBM and 5 control whole blood samples. Columns are IPA defined canonical pathway, −log(p-value) for over-representation of dysregulated molecules in the pathway (&gt; 1.3 is considered significant), ratio of dysregulated molecules to total molecules in pathway, activation score (z-score &gt; 2 is significant predicted activation,
DOI: 10.6084/m9.figshare.12457175.v1
title: Figure1

description: The figure1 shows the simulation results from eight different sets of numerical experiments from the 7iPWOM, designed to take advantage of data availability. The observational data set used here is based on measurements from Atmosphere Explorer (AE-C) and OGO-6 satellites, which covered from 120 km to 1200 km altitude.
DOI: 10.6084/m9.figshare.12457157
title: Additional file 3 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 3 Significant microRNA sequencing differential expression in polymyositis, dermatomyositis and inclusion body myositis patients versus controls PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies Data generated by DESeq2 analysis of small RNA sequencing data from 7 PM, 7 DM, 5 IBM compared to 5 control whole blood samples. The table columns are mature microRNA ids, log2 fold change, standard error for log2 fold change (lfcSE), statistic value for the null hypothesis (stat), p-value, false discovery rate (padj), and mature microRNA name.
DOI: 10.6084/m9.figshare.12457160
title: Additional file 4 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 4 GOseq analysis of differentially expressed genes in idiopathic inflammatory myopathy patients versus controls PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies GOseq analysis was performed on significantly differentially expressed genes (FDR
DOI: 10.6084/m9.figshare.12457154
title: Additional file 2 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 2 Significant RNA sequencing differential expression in polymyositis, dermatomyositis and inclusion body myositis patients versus controls PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies Data generated by DESeq2 analysis of RNA sequencing data from 7 PM, 7 DM, 5 IBM compared to 5 control whole blood samples. The table columns are gene ids, log2 fold change, standard error for log2 fold change (lfcSE), statistic value for the null hypothesis (stat), p-value, false discovery rate (padj), and gene name.
DOI: 10.6084/m9.figshare.12457166.v1
title: Additional file 5 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 5 Canonical Pathways with an enrichment of significantly differentially expressed genes in idiopathic inflammatory myopathy patients PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies QIAGEN’s Ingenuity Pathway Analysis (IPA) ‘Canonical Pathways’ analysis was performed on differential expression results from RNA sequencing of 7 PM and 7 DM (5 anti-Jo1 autoantibody positive), 5 IBM and 5 control whole blood samples. Columns are IPA defined canonical pathway, −log(p-value) for over-representation of dysregulated molecules in the pathway (&gt; 1.3 is considered significant), ratio of dysregulated molecules to total molecules in pathway, activation score (z-score &gt; 2 is significant predicted activation,
DOI: 10.6084/m9.figshare.12457154.v1
title: Additional file 2 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 2 Significant RNA sequencing differential expression in polymyositis, dermatomyositis and inclusion body myositis patients versus controls PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies Data generated by DESeq2 analysis of RNA sequencing data from 7 PM, 7 DM, 5 IBM compared to 5 control whole blood samples. The table columns are gene ids, log2 fold change, standard error for log2 fold change (lfcSE), statistic value for the null hypothesis (stat), p-value, false discovery rate (padj), and gene name.
DOI: 10.6084/m9.figshare.12457157.v1
title: Additional file 3 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 3 Significant microRNA sequencing differential expression in polymyositis, dermatomyositis and inclusion body myositis patients versus controls PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies Data generated by DESeq2 analysis of small RNA sequencing data from 7 PM, 7 DM, 5 IBM compared to 5 control whole blood samples. The table columns are mature microRNA ids, log2 fold change, standard error for log2 fold change (lfcSE), statistic value for the null hypothesis (stat), p-value, false discovery rate (padj), and mature microRNA name.
DOI: 10.6084/m9.figshare.12457160.v1
title: Additional file 4 of MicroRNA and mRNA profiling in the idiopathic inflammatory myopathies

description: Additional file 4 GOseq analysis of differentially expressed genes in idiopathic inflammatory myopathy patients versus controls PM Polymyositis, DM Dermatomyositis, IBM Inclusion body myositis, Anti-Jo1 Subset of PM and DM with anti-Jo1 autoantibodies GOseq analysis was performed on significantly differentially expressed genes (FDR
DOI: 10.6084/m9.figshare.12457139
title: Additional file 3 of Genome-wide identification and characterisation of Aquaporins in Nicotiana tabacum and their relationships with other Solanaceae species

description: Additional file 3: Repository of sequences examined in this study. Genomic (gff3 format), CDS, and protein sequences for all 76 NtAQPs. CDS and protein sequences for all N.sylvestris and N.tomentosiformis AQPs. Amended sequences for potato StXIP3;1, StXIP4;1, and tomato SlXIP1;6, SlPIP2;1, SlTIP2;2 proteins (see also Additional file 1: Table S3)
DOI: 10.6084/m9.figshare.12457133
title: Additional file 1 of Genome-wide identification and characterisation of Aquaporins in Nicotiana tabacum and their relationships with other Solanaceae species

description: Additional file 1: Table S1. Tobacco AQP pseudo genes. Table of sequences that encode for incomplete AQPs within the tobacco TN90 genome sequence (Sierro et al. 2014), that we have subsequently assigned as pseudo genes. Notes on trans-membrane domains were sourced from analysis using TOPCONs protein topology prediction software. Table S2. Extended information on the 76 tobacco aquaporins identified in this study. Provided are protein lengths, gene identifiers, gene structures, chromosome and/or scaffold locations in the TN90 [1] (Sierro et al. 2014) and K326 [2] (Edwards et al. 2017) cultivar genomes, comparison of whether the computed gene models derived from each study matched gene structures curated in this study (Y-yes or N-no) and NCBI accessions. NtTIP2;5 s, NtNIP4;2 s and NtNIP4;3 t genes were not identified in the K326 [2] cultivar’s genome. Also listed are the corresponding tomato and potato orthologs and their respective gene (inton/exon) structures. Table S3. Amended annotations of previously reported tomato, potato and tobacco AQPs. In analysing the NtAQP family, we identified misannotations in previously reported AQPs from tomato (Solanum lycopersicum), potato (Solanum tuberosum) and tobacco (Nicotiana tabacum). Provided is a brief description of the error. Corrected sequences can be found in Additional file 3.
DOI: 10.6084/m9.figshare.12457139.v1
title: Additional file 3 of Genome-wide identification and characterisation of Aquaporins in Nicotiana tabacum and their relationships with other Solanaceae species

description: Additional file 3: Repository of sequences examined in this study. Genomic (gff3 format), CDS, and protein sequences for all 76 NtAQPs. CDS and protein sequences for all N.sylvestris and N.tomentosiformis AQPs. Amended sequences for potato StXIP3;1, StXIP4;1, and tomato SlXIP1;6, SlPIP2;1, SlTIP2;2 proteins (see also Additional file 1: Table S3)
DOI: 10.6084/m9.figshare.12457133.v1
title: Additional file 1 of Genome-wide identification and characterisation of Aquaporins in Nicotiana tabacum and their relationships with other Solanaceae species

description: Additional file 1: Table S1. Tobacco AQP pseudo genes. Table of sequences that encode for incomplete AQPs within the tobacco TN90 genome sequence (Sierro et al. 2014), that we have subsequently assigned as pseudo genes. Notes on trans-membrane domains were sourced from analysis using TOPCONs protein topology prediction software. Table S2. Extended information on the 76 tobacco aquaporins identified in this study. Provided are protein lengths, gene identifiers, gene structures, chromosome and/or scaffold locations in the TN90 [1] (Sierro et al. 2014) and K326 [2] (Edwards et al. 2017) cultivar genomes, comparison of whether the computed gene models derived from each study matched gene structures curated in this study (Y-yes or N-no) and NCBI accessions. NtTIP2;5 s, NtNIP4;2 s and NtNIP4;3 t genes were not identified in the K326 [2] cultivar’s genome. Also listed are the corresponding tomato and potato orthologs and their respective gene (inton/exon) structures. Table S3. Amended annotations of previously reported tomato, potato and tobacco AQPs. In analysing the NtAQP family, we identified misannotations in previously reported AQPs from tomato (Solanum lycopersicum), potato (Solanum tuberosum) and tobacco (Nicotiana tabacum). Provided is a brief description of the error. Corrected sequences can be found in Additional file 3.
DOI: 10.6084/m9.figshare.12457073
title: Additional file 4 of How do changes in flow magnitude due to hydroelectric power production affect fish abundance and diversity in temperate regions? A systematic review protocol

description: Additional file 4. Draft extraction sheet. Contains a draft version of the data extraction sheet which includes the meta-data to be extracted along with the quantitative study results, effect modifier data, and a codes sheet.
DOI: 10.6084/m9.figshare.12457064
title: Additional file 2 of How do changes in flow magnitude due to hydroelectric power production affect fish abundance and diversity in temperate regions? A systematic review protocol

description: Additional file 2. Search string scoping exercise. Includes the original search string from the systematic map, results of the scoping exercise to come up with final search terms and string, and the number of records retrieved by the scoping searches.
DOI: 10.6084/m9.figshare.12457073.v1
title: Additional file 4 of How do changes in flow magnitude due to hydroelectric power production affect fish abundance and diversity in temperate regions? A systematic review protocol

description: Additional file 4. Draft extraction sheet. Contains a draft version of the data extraction sheet which includes the meta-data to be extracted along with the quantitative study results, effect modifier data, and a codes sheet.
DOI: 10.6084/m9.figshare.12457058
title: Additional file 1 of How do changes in flow magnitude due to hydroelectric power production affect fish abundance and diversity in temperate regions? A systematic review protocol

description: Additional file 1. ROSES form for systematic review protocols.
DOI: 10.6084/m9.figshare.12457064.v1
title: Additional file 2 of How do changes in flow magnitude due to hydroelectric power production affect fish abundance and diversity in temperate regions? A systematic review protocol

description: Additional file 2. Search string scoping exercise. Includes the original search string from the systematic map, results of the scoping exercise to come up with final search terms and string, and the number of records retrieved by the scoping searches.
DOI: 10.6084/m9.figshare.12457058.v1
title: Additional file 1 of How do changes in flow magnitude due to hydroelectric power production affect fish abundance and diversity in temperate regions? A systematic review protocol

description: Additional file 1. ROSES form for systematic review protocols.
DOI: 10.6084/m9.figshare.12457025
title: Additional file 1 of PPAI: a web server for predicting protein-aptamer interactions

description: Additional file 1: Supplementary Table S1. The feature importance scores of the top protein features of the model. Supplementary Table S2. The feature importance scores of the top aptamer features of the model. Supplementary Table S3. The information of aptamers. Supplementary Table S4. The information of proteins. Supplementary Table S5. The datasets of protein-aptamer interactions prediction. Supplementary Table S6. The performance comparison before and after removing redundancy of the dataset. Supplementary Table S7. The datasets for predicting aptamers. Supplementary Table S8. Performance comparison between using adaboost alone and using adaboost and random forest in combination. Supplementary Table S9. Comparison of prediction performance of different machine learning algorithms for predicting protein-aptamer interactions.
DOI: 10.6084/m9.figshare.12457025.v1
title: Additional file 1 of PPAI: a web server for predicting protein-aptamer interactions

description: Additional file 1: Supplementary Table S1. The feature importance scores of the top protein features of the model. Supplementary Table S2. The feature importance scores of the top aptamer features of the model. Supplementary Table S3. The information of aptamers. Supplementary Table S4. The information of proteins. Supplementary Table S5. The datasets of protein-aptamer interactions prediction. Supplementary Table S6. The performance comparison before and after removing redundancy of the dataset. Supplementary Table S7. The datasets for predicting aptamers. Supplementary Table S8. Performance comparison between using adaboost alone and using adaboost and random forest in combination. Supplementary Table S9. Comparison of prediction performance of different machine learning algorithms for predicting protein-aptamer interactions.
DOI: 10.6084/m9.figshare.12456929
title: Additional file 1 of Filling the gaps: ethnobotanical study of the Garrigues district, an arid zone in Catalonia (NE Iberian Peninsula)

description: Additional file 1. Supplementary information.
DOI: 10.6084/m9.figshare.12456929.v1
title: Additional file 1 of Filling the gaps: ethnobotanical study of the Garrigues district, an arid zone in Catalonia (NE Iberian Peninsula)

description: Additional file 1. Supplementary information.
DOI: 10.6084/m9.figshare.12456887
title: Additional file 1 of DNA methylation profiling demonstrates superior diagnostic classification to RNA-sequencing in a case of metastatic meningioma

description: Additional file 1: Supplementary Table 1. Multiplatform molecular profiling. List of all genes detected at transcripts per million (TPM) &gt; 1 (“Filtered_TPM &gt; 1”) and genes enriched in the liver metastasis (“Up_in_Met”) or intracranial samples (“Down_in_Met”) based on combined absolute expression and relative fold change thresholds.
DOI: 10.6084/m9.figshare.12456887.v1
title: Additional file 1 of DNA methylation profiling demonstrates superior diagnostic classification to RNA-sequencing in a case of metastatic meningioma

description: Additional file 1: Supplementary Table 1. Multiplatform molecular profiling. List of all genes detected at transcripts per million (TPM) &gt; 1 (“Filtered_TPM &gt; 1”) and genes enriched in the liver metastasis (“Up_in_Met”) or intracranial samples (“Down_in_Met”) based on combined absolute expression and relative fold change thresholds.
DOI: 10.6084/m9.figshare.12456806
title: Additional file 1 of Characterizing patients issued DNR orders who are ultimately discharged alive: a retrospective observational study in Japan

description: Additional file 1. Dataset of the study. Anonymous data set analyzed.
DOI: 10.6084/m9.figshare.12456800
title: Additional file 4 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 4. Medication given to patients with NACA score
DOI: 10.6084/m9.figshare.12456806.v1
title: Additional file 1 of Characterizing patients issued DNR orders who are ultimately discharged alive: a retrospective observational study in Japan

description: Additional file 1. Dataset of the study. Anonymous data set analyzed.
DOI: 10.6084/m9.figshare.12456791
title: Additional file 3 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 3. Medication given (all patients).
DOI: 10.6084/m9.figshare.12456800.v1
title: Additional file 4 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 4. Medication given to patients with NACA score
DOI: 10.6084/m9.figshare.12456782
title: Additional file 1 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 1. Prehospital diagnosis of patients with an unused peripheral vascular access and a NACA score
DOI: 10.6084/m9.figshare.12456788
title: Additional file 2 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 2. Prehospital diagnosis of patients with unused peripheral vascular access and NACA score ≥ 4.
DOI: 10.6084/m9.figshare.12456791.v1
title: Additional file 3 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 3. Medication given (all patients).
DOI: 10.6084/m9.figshare.12456788.v1
title: Additional file 2 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 2. Prehospital diagnosis of patients with unused peripheral vascular access and NACA score ≥ 4.
DOI: 10.6084/m9.figshare.12456782.v1
title: Additional file 1 of Use of peripheral vascular access in the prehospital setting: is there room for improvement?

description: Supplementary file 1. Prehospital diagnosis of patients with an unused peripheral vascular access and a NACA score
DOI: 10.6084/m9.figshare.12456770
title: Additional file 1 of The use of machine learning in rare diseases: a scoping review

description: Additional file 1. Articles_included: List of articles included in the review and extracted data; Articles_all: All articles identified by the literature search and reasons for exclusion (if excluded); Search_string: Search strings used for the systematic literature search.
DOI: 10.6084/m9.figshare.12456770.v1
title: Additional file 1 of The use of machine learning in rare diseases: a scoping review

description: Additional file 1. Articles_included: List of articles included in the review and extracted data; Articles_all: All articles identified by the literature search and reasons for exclusion (if excluded); Search_string: Search strings used for the systematic literature search.
DOI: 10.6084/m9.figshare.12456716
title: traffic_volume_hours.csv

description: This data compares hourly traffic volume at 241 inbound of outbound count locations in 2019 with those in 2020 for corresponding day of week.
DOI: 10.6084/m9.figshare.12456692
title: subway_ridership_hours.csv

description: This data compares hourly number of people getting on and off at subway stations using transportation cards in 2019 with those in 2020 for each corresponding day of week.
DOI: 10.6084/m9.figshare.12456671
title: epidemiological_data.csv

description: This data includes number of cumulative confirmed, fatality, active cases, and total test conducted during the first 100 days of COVID-19 in Seoul, South Korea.