cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16916500.v1
title: Additional file 24 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 24: WT M. xanthus read counts and DEseq data
DOI: 10.6084/m9.figshare.16916503
title: Additional file 25 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 25: DEseq data for timepoint comparisons between ΔfruA and WT M. xanthus
DOI: 10.6084/m9.figshare.16916509.v1
title: Additional file 27 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 27: WT M. stipitatus read counts and DEseq data
DOI: 10.6084/m9.figshare.16916497
title: Additional file 23 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 23:. New and old locus name correspondences
DOI: 10.6084/m9.figshare.16916506
title: Additional file 26 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 26: ΔfruA M. xanthus read counts and DEseq data
DOI: 10.6084/m9.figshare.16916506.v1
title: Additional file 26 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 26: ΔfruA M. xanthus read counts and DEseq data
DOI: 10.6084/m9.figshare.16916512.v1
title: Additional file 28 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 28:. Percentages of total annotations in each COG category in each Kmeans cluster
DOI: 10.6084/m9.figshare.16916509
title: Additional file 27 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 27: WT M. stipitatus read counts and DEseq data
DOI: 10.6084/m9.figshare.16916512
title: Additional file 28 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 28:. Percentages of total annotations in each COG category in each Kmeans cluster
DOI: 10.6084/m9.figshare.16916515
title: Additional file 29 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 29: Kmeans clusters for M. xanthus.
DOI: 10.6084/m9.figshare.16916515.v1
title: Additional file 29 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 29: Kmeans clusters for M. xanthus.
DOI: 10.6084/m9.figshare.16916524.v1
title: Additional file 31 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 31:. Kmeans clusters for top orthologs
DOI: 10.6084/m9.figshare.16916521
title: Additional file 30 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 30: Kmeans clusters for M. stipitatus
DOI: 10.6084/m9.figshare.16916521.v1
title: Additional file 30 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 30: Kmeans clusters for M. stipitatus
DOI: 10.6084/m9.figshare.16916533
title: Additional file 34 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 34: RPKM for all WT and ΔfruA M. xanthus.
DOI: 10.6084/m9.figshare.16916524
title: Additional file 31 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 31:. Kmeans clusters for top orthologs
DOI: 10.6084/m9.figshare.16916527
title: Additional file 32 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 32: Log2 Fold-changes for M. xanthus, M. stipitatus core genes
DOI: 10.6084/m9.figshare.16916530
title: Additional file 33 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 33: RPKM for all M. xanthus, M. stipitatus core genes
DOI: 10.6084/m9.figshare.16916530.v1
title: Additional file 33 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 33: RPKM for all M. xanthus, M. stipitatus core genes
DOI: 10.6084/m9.figshare.16916536
title: Additional file 35 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 35: RPKM log2 for all M. xanthus, M. stipitatus core genes
DOI: 10.6084/m9.figshare.16916539.v1
title: Additional file 36 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 36: RPKM log2 for all WT and ΔfruA M. xanthus
DOI: 10.6084/m9.figshare.16916542.v1
title: Additional file 37 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 37:. R code for identifying gene clusters containing target gene
DOI: 10.6084/m9.figshare.16916539
title: Additional file 36 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 36: RPKM log2 for all WT and ΔfruA M. xanthus
DOI: 10.6084/m9.figshare.16916533.v1
title: Additional file 34 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 34: RPKM for all WT and ΔfruA M. xanthus.
DOI: 10.6084/m9.figshare.16916536.v1
title: Additional file 35 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 35: RPKM log2 for all M. xanthus, M. stipitatus core genes
DOI: 10.6084/m9.figshare.16916542
title: Additional file 37 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 37:. R code for identifying gene clusters containing target gene
DOI: 10.6084/m9.figshare.16916589.v1
title: Additional file 2 of Risk of antimicrobial-associated organ injury among the older adults: a systematic review and meta-analysis

description: Additional file 2. Risk factors for nephrotoxicity in elderly patients receiving once-daily aminoglycosides.
DOI: 10.6084/m9.figshare.16916589
title: Additional file 2 of Risk of antimicrobial-associated organ injury among the older adults: a systematic review and meta-analysis

description: Additional file 2. Risk factors for nephrotoxicity in elderly patients receiving once-daily aminoglycosides.
DOI: 10.6084/m9.figshare.14926958
title: Additional file 2 of A method to define the relevant ego-centred spatial scale for the assessment of neighbourhood effects: the example of cardiovascular risk factors

description: Additional file 2.
DOI: 10.6084/m9.figshare.14926958.v1
title: Additional file 2 of A method to define the relevant ego-centred spatial scale for the assessment of neighbourhood effects: the example of cardiovascular risk factors

description: Additional file 2.
DOI: 10.6084/m9.figshare.14176307
title: Additional file 2 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 2. List of primers used for Gateway® cloning in the present study.
DOI: 10.6084/m9.figshare.14176310
title: Additional file 3 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 3. List of vectors used for the clonings in this study.
DOI: 10.6084/m9.figshare.14176304.v1
title: Additional file 1 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 1. List of strains and cell lines used in this study.
DOI: 10.6084/m9.figshare.14176313
title: Additional file 4 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 4. List of GO terms obtained with PANTHER.
DOI: 10.6084/m9.figshare.14176304
title: Additional file 1 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 1. List of strains and cell lines used in this study.
DOI: 10.6084/m9.figshare.14176307.v1
title: Additional file 2 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 2. List of primers used for Gateway® cloning in the present study.
DOI: 10.6084/m9.figshare.14176310.v1
title: Additional file 3 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 3. List of vectors used for the clonings in this study.
DOI: 10.6084/m9.figshare.14176313.v1
title: Additional file 4 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 4. List of GO terms obtained with PANTHER.
DOI: 10.6084/m9.figshare.14176316
title: Additional file 5 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 5. List of GO terms summarized with REVIGO.
DOI: 10.6084/m9.figshare.14176316.v1
title: Additional file 5 of Exploration of binary protein–protein interactions between tick-borne flaviviruses and Ixodes ricinus

description: Additional file 5. List of GO terms summarized with REVIGO.
DOI: 10.6084/m9.figshare.14173935
title: Additional file 1 of Molecular and morphological characterization of three new species of avian Onchocercidae (Nematoda) with emphasis on circulating microfilariae

description: Additional file 1: Table S1. Pairwise distance (p-distance) was calculated between sequences used in the phylogenetic analysis for 28S gene. This analysis was implemented in MEGAX software using the p-distance model with uniform rates of nucleotide substitutions.
DOI: 10.6084/m9.figshare.16916698.v1
title: Additional file 4 of Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

description: Additional file 4. Differences in all 45 characteristics between the two groups.
DOI: 10.6084/m9.figshare.14173938
title: Additional file 2 of Molecular and morphological characterization of three new species of avian Onchocercidae (Nematoda) with emphasis on circulating microfilariae

description: Additional file 2: Table S2. Pairwise distance (p-distance) was calculated between sequences used in the phylogenetic analysis for cox1 gene. This analysis was implemented in MEGAX software using p-distance model with uniform rates of nucleotide substitutions.
DOI: 10.6084/m9.figshare.14173938.v1
title: Additional file 2 of Molecular and morphological characterization of three new species of avian Onchocercidae (Nematoda) with emphasis on circulating microfilariae

description: Additional file 2: Table S2. Pairwise distance (p-distance) was calculated between sequences used in the phylogenetic analysis for cox1 gene. This analysis was implemented in MEGAX software using p-distance model with uniform rates of nucleotide substitutions.
DOI: 10.6084/m9.figshare.14173935.v1
title: Additional file 1 of Molecular and morphological characterization of three new species of avian Onchocercidae (Nematoda) with emphasis on circulating microfilariae

description: Additional file 1: Table S1. Pairwise distance (p-distance) was calculated between sequences used in the phylogenetic analysis for 28S gene. This analysis was implemented in MEGAX software using the p-distance model with uniform rates of nucleotide substitutions.
DOI: 10.6084/m9.figshare.16916703.v1
title: Additional file 1 of A data driven learning approach for the assessment of data quality

description: Additional file 1. Overview DQ-issues.
DOI: 10.6084/m9.figshare.16916689.v1
title: Additional file 1 of Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

description: Additional file 1. Convert continuous variables to ordinal categorical variables.
DOI: 10.6084/m9.figshare.16916709.v1
title: Additional file 3 of A data driven learning approach for the assessment of data quality

description: Additional file 3. Machine learning workflow.
DOI: 10.6084/m9.figshare.16916712.v1
title: Additional file 4 of A data driven learning approach for the assessment of data quality

description: Additional file 4. Example MM to check missing BP.
DOI: 10.6084/m9.figshare.16916706.v1
title: Additional file 2 of A data driven learning approach for the assessment of data quality

description: Additional file 2. Data generation.
DOI: 10.6084/m9.figshare.16916677.v1
title: Additional file 3 of Quantitative sequencing clarifies the role of disruptor taxa, oral microbiota, and strict anaerobes in the human small-intestine microbiome

description: Additional file 2.
DOI: 10.6084/m9.figshare.7834442
title: Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig

description: Brain injuries and ensuing neurological abnormalities due to chronic hypoxia are among the most frequent causes and difficult to detect reliably. Prevention strategies require novel accurate methods. We showed that electrocorticogram's mutual information properties (ECoG) contain information about corticothalamic communication, which can be quantified without invasive insertion of the thalamic electrodes.Here we present the method and the data set to derive ECoG/EEG biomarkers of corticothalamic communication under normal, sedation and hypoxic/ischemic conditions.We hypothesize that the proposed biomarkers of corticothalamic communication derived from EEG alone will signal increased risk for or an imminent brain injury from short periods of data (less than 10 min).We present signal-analytical approaches to derive a signature of coupling between the ECoG and electrothalamogram (EThG) signals that were recorded under conditions of gradual ischemia in juvenile pigs.We hope this data set will contribute to development of new brain monitoring technologies to improve prevention of neurological injuries.All experiments have been approved by the responsible animal ethics committee.<br>BIDS version of the dataset can also be found on OpenNeuro: DOI:10.18112/openneuro.ds003380.v1.0.0<br>Publication: https://www.nature.com/articles/s41597-020-00781-y
DOI: 10.6084/m9.figshare.7834442.v8
title: Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig

description: Brain injuries and ensuing neurological abnormalities due to chronic hypoxia are among the most frequent causes and difficult to detect reliably. Prevention strategies require novel accurate methods. We showed that electrocorticogram's mutual information properties (ECoG) contain information about corticothalamic communication, which can be quantified without invasive insertion of the thalamic electrodes.Here we present the method and the data set to derive ECoG/EEG biomarkers of corticothalamic communication under normal, sedation and hypoxic/ischemic conditions.We hypothesize that the proposed biomarkers of corticothalamic communication derived from EEG alone will signal increased risk for or an imminent brain injury from short periods of data (less than 10 min).We present signal-analytical approaches to derive a signature of coupling between the ECoG and electrothalamogram (EThG) signals that were recorded under conditions of gradual ischemia in juvenile pigs.We hope this data set will contribute to development of new brain monitoring technologies to improve prevention of neurological injuries.All experiments have been approved by the responsible animal ethics committee.
DOI: 10.6084/m9.figshare.16916527.v1
title: Additional file 32 of Transcriptomic analysis of the Myxococcus xanthus FruA regulon, and comparative developmental transcriptomic analysis of two fruiting body forming species, Myxococcus xanthus and Myxococcus stipitatus

description: Additional file 32: Log2 Fold-changes for M. xanthus, M. stipitatus core genes
DOI: 10.3886/e113406v1-100440
title: Replication data for: The Impact of Market Size and Composition on Health Insurance Premiums: Evidence from the First Year of the Affordable Care Act

description: Under the Affordable Care Act, individual states have discretion in how they define coverage regions, within which insurers must charge the same premium to buyers of the same age, family structure, and smoking status. We exploit variation in these definitions to investigate whether the size of the coverage region affects outcomes in the ACA marketplaces. We find large consequences for small and rural markets. When states combine small counties with neighboring urban areas into a single region, the included rural markets see 0.6 to 0.8 more active insurers, on average, and savings in annual premiums of between $200 and $300.
DOI: 10.6084/m9.figshare.16916313.v1
title: Additional file 17 of Metagenomic insights into the microbial communities of inert and oligotrophic outdoor pier surfaces of a coastal city

description: Additional file 17: Table S6. Taxonomic classification of the MAGs according to the GTDB database.
DOI: 10.6084/m9.figshare.16916712
title: Additional file 4 of A data driven learning approach for the assessment of data quality

description: Additional file 4. Example MM to check missing BP.
DOI: 10.6084/m9.figshare.16916709
title: Additional file 3 of A data driven learning approach for the assessment of data quality

description: Additional file 3. Machine learning workflow.
DOI: 10.6084/m9.figshare.16916706
title: Additional file 2 of A data driven learning approach for the assessment of data quality

description: Additional file 2. Data generation.
DOI: 10.6084/m9.figshare.16916703
title: Additional file 1 of A data driven learning approach for the assessment of data quality

description: Additional file 1. Overview DQ-issues.
DOI: 10.6084/m9.figshare.16916698
title: Additional file 4 of Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

description: Additional file 4. Differences in all 45 characteristics between the two groups.
DOI: 10.6084/m9.figshare.16916689
title: Additional file 1 of Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

description: Additional file 1. Convert continuous variables to ordinal categorical variables.
DOI: 10.6084/m9.figshare.16916677
title: Additional file 3 of Quantitative sequencing clarifies the role of disruptor taxa, oral microbiota, and strict anaerobes in the human small-intestine microbiome

description: Additional file 2.
DOI: 10.6084/m9.figshare.16917031
title: Discovery of Gene Function by Expression Profiling of the Malaria Parasite Life Cycle

description: This is the companion web site for publication:<br>Le Roch KG, Zhou Y, Blair PL, Grainger M, Moch JK, Haynes JD, De La Vega P, Holder AA, Batalov S, Carucci DJ, Winzeler EA. Discovery of gene function by expression profiling of the malaria parasite life cycle. Science. 2003 Sep 12;301(5639):1503-8. doi: 10.1126/science.1087025. Epub 2003 Jul 31. PMID: 12893887.<br><br>Download and unzip the file, open CellCycle/index.html to browse the self-contained web site.
DOI: 10.6084/m9.figshare.16917331
title: Complexation of Arsenate to Humic Acid with Different Molecular Weight Fractions in Aqueous Solution

description: 1. The dissolved organic carbon (DOC) concentration, carboxyl, and phenolic group contents, and total acidity of unfractionated HA and 5 HA fractions fractionated by ultrafiltration.2. Apparent stability constants (KS, mg/L), and maximum binding capabilities (Bmax, mg/L) of As(V) to HA fractions.3. Complexation of As(V) with unfractionated HA at different pH values (4.0, 7.0, and 10.0) and DOC concentrations of HA (5, 30, 100, 200 mg/L).4. Complexation of As(V) with HA fractions at different pH values (4.0, 7.0, and 10.0) (DOC = 30 mg/L).<br>
DOI: 10.6084/m9.figshare.16917331.v1
title: Complexation of Arsenate to Humic Acid with Different Molecular Weight Fractions in Aqueous Solution

description: 1. The dissolved organic carbon (DOC) concentration, carboxyl, and phenolic group contents, and total acidity of unfractionated HA and 5 HA fractions fractionated by ultrafiltration.2. Apparent stability constants (KS, mg/L), and maximum binding capabilities (Bmax, mg/L) of As(V) to HA fractions.3. Complexation of As(V) with unfractionated HA at different pH values (4.0, 7.0, and 10.0) and DOC concentrations of HA (5, 30, 100, 200 mg/L).4. Complexation of As(V) with HA fractions at different pH values (4.0, 7.0, and 10.0) (DOC = 30 mg/L).<br>