cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12644650
title: Additional file 3 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 3: Supplemental Table 3. Relative abundance of identified metabolites. Relative abundances calculated from positive and negative ion modes. FDR corrected p-values for known metabolites between term and pre-term fecal samples.
DOI: 10.6084/m9.figshare.12644653
title: Additional file 4 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 4: Supplemental Table 4. Enriched pre-term metabolic pathways mapped to Escherichia coli. A list of microbial metabolic pathways enriched in pre-term stool samples compared to term stool samples as determined by KEGG orthologs.
DOI: 10.6084/m9.figshare.12644647
title: Additional file 2 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 2: Supplemental Table 2. LC-MS data collected in negative ion mode. Raw data from term and pre-term LC-MS analysis including mass, retention time, and positive metabolite identification where available.
DOI: 10.6084/m9.figshare.12644650.v1
title: Additional file 3 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 3: Supplemental Table 3. Relative abundance of identified metabolites. Relative abundances calculated from positive and negative ion modes. FDR corrected p-values for known metabolites between term and pre-term fecal samples.
DOI: 10.6084/m9.figshare.12644653.v1
title: Additional file 4 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 4: Supplemental Table 4. Enriched pre-term metabolic pathways mapped to Escherichia coli. A list of microbial metabolic pathways enriched in pre-term stool samples compared to term stool samples as determined by KEGG orthologs.
DOI: 10.6084/m9.figshare.12644644
title: Additional file 1 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 1: Supplemental Table 1. LC-MS data collected in positive ion mode. Raw data from term and pre-term LC-MS analysis including mass, retention time, and positive metabolite identification where available.
DOI: 10.6084/m9.figshare.12644644.v1
title: Additional file 1 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 1: Supplemental Table 1. LC-MS data collected in positive ion mode. Raw data from term and pre-term LC-MS analysis including mass, retention time, and positive metabolite identification where available.
DOI: 10.6084/m9.figshare.12644647.v1
title: Additional file 2 of Gut microbiota maturation during early human life induces enterocyte proliferation via microbial metabolites

description: Additional file 2: Supplemental Table 2. LC-MS data collected in negative ion mode. Raw data from term and pre-term LC-MS analysis including mass, retention time, and positive metabolite identification where available.
DOI: 10.6084/m9.figshare.12644503
title: Additional file 2 of Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis

description: Additional file 2. Code and raw data
DOI: 10.6084/m9.figshare.12644503.v1
title: Additional file 2 of Empirical development of a typology on residential long-term care units in Germany - results of an exploratory multivariate data analysis

description: Additional file 2. Code and raw data
DOI: 10.6084/m9.figshare.12644433
title: Additional file 2 of Assessing the readiness of digital data infrastructure for opioid use disorder research

description: Additional file 2. Detailed results of literature review.
DOI: 10.6084/m9.figshare.12644430
title: Additional file 1 of Assessing the readiness of digital data infrastructure for opioid use disorder research

description: Additional file 1. Summary of categorized data elements identified by environmental scan mapped to common data elements of Value Set Authority Center.
DOI: 10.6084/m9.figshare.12644433.v1
title: Additional file 2 of Assessing the readiness of digital data infrastructure for opioid use disorder research

description: Additional file 2. Detailed results of literature review.
DOI: 10.6084/m9.figshare.12644430.v1
title: Additional file 1 of Assessing the readiness of digital data infrastructure for opioid use disorder research

description: Additional file 1. Summary of categorized data elements identified by environmental scan mapped to common data elements of Value Set Authority Center.
DOI: 10.6084/m9.figshare.12644377
title: Additional file 1 of Copy number variation of IL17RA gene and its association with the ankylosing spondylitis risk in Iranian patients: a case-control study

description: Additional file 1: Supplementary file 1(.xlsx). The data of mRNA expression and copy number of IL17RA in studied patients and controls.
DOI: 10.6084/m9.figshare.12644377.v1
title: Additional file 1 of Copy number variation of IL17RA gene and its association with the ankylosing spondylitis risk in Iranian patients: a case-control study

description: Additional file 1: Supplementary file 1(.xlsx). The data of mRNA expression and copy number of IL17RA in studied patients and controls.
DOI: 10.6084/m9.figshare.12644340
title: Additional file 2 of Metabolite AutoPlotter - an application to process and visualise metabolite data in the web browser

description: Additional file 2. Demodata to reproduce the plots shown in the figures.
DOI: 10.6084/m9.figshare.12644340.v1
title: Additional file 2 of Metabolite AutoPlotter - an application to process and visualise metabolite data in the web browser

description: Additional file 2. Demodata to reproduce the plots shown in the figures.
DOI: 10.6084/m9.figshare.12644326
title: Additional file 1 of Phylogenetic and spatial distribution of evolutionary diversification, isolation, and threat in turtles and crocodilians (non-avian archosauromorphs)

description: Additional file 1. Supplementary data.
DOI: 10.6084/m9.figshare.12644326.v1
title: Additional file 1 of Phylogenetic and spatial distribution of evolutionary diversification, isolation, and threat in turtles and crocodilians (non-avian archosauromorphs)

description: Additional file 1. Supplementary data.
DOI: 10.6084/m9.figshare.12644234
title: Gene database of Cupriavidus necator N-1

description: <i>Cupriavidus necator</i> is a Gram-negative bacterium common in soil environments. This work sought to highlight the genetic repertoire of <i>Cupriavidus necator</i> N-1 based on annotated genome sequence downloaded from Genbank. Comprising gene name, gene function, and gene sequence, the resource should provide useful insights into the molecular basis of cellular processes and phenomenon in this otherwise interesting microorganism.
DOI: 10.6084/m9.figshare.12644258
title: A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring

description: Nine datasets from the UC Irvine (UCI) machine learning repository, i.e., the Australian, Japanese, German (Asuncion & Newman, 2007), Taiwan (Yeh & Lien, 2009) and Polish credit datasets (Zięba et al., 2016) were adopted for the current study. The Polish credit datasets contain five datasets distinguished five classification cases that depend on the forecasting period (e.g., the Polish 1, the Polish 2, the Polish 3, the Polish 4 and the Polish 5). AER credit dataset (Greene, 2003), which is a credit card dataset for econometric analysis. Creator dataset, which is published in 2019 by a Chinese digital government services provider named Creator Information Technology Co., Ltd[1]. The Creator dataset contains the property rights, financial statements, and basic company information of 35960 Chinese companies.<br>[1] http://www.chinacreator.com/cn/
DOI: 10.6084/m9.figshare.12644150
title: Supplementary Material FEMS

description: These data correspond to the manuscript: Hi-C deconvolution of a textile-dye<i> degrader microbiome reveals novel taxonomic landscapes and link phenotypic potential to individual genomes"</i> by Sánchez-Reyes et al.,2020.
DOI: 10.6084/m9.figshare.12644165
title: LBW_HFD_BP_DataSet.xlsx

description: We generated a fetal low-carbohydrate and calorie-restricted model rat (60% of standard chow), and some individuals showed postnatal growth failure caused by growth hormone receptor expression. Using this model, we examined how a high-fat diet (lard-based 45kcal% fat)-induced mismatch between prenatal and postnatal environments could elevate blood pressure after growth.
DOI: 10.6084/m9.figshare.12644150.v1
title: Supplementary Material FEMS

description: These data correspond to the manuscript: Hi-C deconvolution of a textile-dye<i> degrader microbiome reveals novel taxonomic landscapes and link phenotypic potential to individual genomes"</i> by Sánchez-Reyes et al.,2020.
DOI: 10.6084/m9.figshare.12644162
title: Interpretation citation data (2013–2020)

description: Google Scholar citation data for articles appearing in the journal, <i>Interpretation</i>, from 2013–2020. Captured using Harzing's Publish or Perish software on 7 July 2020.<br>
DOI: 10.6084/m9.figshare.12644222
title: Relative_Search_Volume_of_COVID-19_and_related_topics_Latin_America_and_the_Caribbean

description: Online interest in countries of Latin America and The Caribbean regarding COVID-19 and related topics.
DOI: 10.6084/m9.figshare.12644222.v1
title: Relative_Search_Volume_of_COVID-19_and_related_topics_Latin_America_and_the_Caribbean

description: Online interest in countries of Latin America and The Caribbean regarding COVID-19 and related topics.
DOI: 10.6084/m9.figshare.12644165.v1
title: LBW_HFD_BP_DataSet.xlsx

description: We generated a fetal low-carbohydrate and calorie-restricted model rat (60% of standard chow), and some individuals showed postnatal growth failure caused by growth hormone receptor expression. Using this model, we examined how a high-fat diet (lard-based 45kcal% fat)-induced mismatch between prenatal and postnatal environments could elevate blood pressure after growth.
DOI: 10.6084/m9.figshare.12644132
title: FASTQ files for reads from amplicon sequencing of 96 An. coluzzii and gambiae specimens: Plate10.zip

description: Each zip file contains the reads from one plate of amplicon sequencing for Anopheles coluzzii and An. gambiae. Reads are in 96 FASTQ files, corresponding to 96 specimens per plate. <br>
DOI: 10.6084/m9.figshare.12644135
title: Rivera-Correa_Daza_Measurement&Calls_zorro.xlsx

description: Morphometric measurements and acoustic variables of a new species of frog from Colombia (Pristimantis zorro)
DOI: 10.6084/m9.figshare.12644135.v1
title: Rivera-Correa_Daza_Measurement&Calls_zorro.xlsx

description: Morphometric measurements and acoustic variables of a new species of frog from Colombia (Pristimantis zorro)
DOI: 10.6084/m9.figshare.12644081
title: Blue Hole Metagenome-assembled Genomes

description: Thirty-one metagenome-assembled genomes (MAGs) from the Blue Hole samples in May and September 2019.
DOI: 10.6084/m9.figshare.12644096
title: FASTQ files for reads from amplicon sequencing of 96 An. coluzzii and gambiae specimens: Plate8.zip

description: Each zip file contains the reads from one plate of amplicon sequencing for Anopheles coluzzii and An. gambiae. Reads are in 96 FASTQ files, corresponding to 96 specimens per plate. <br>
DOI: 10.6084/m9.figshare.12644114
title: FASTQ files for reads from amplicon sequencing of 96 An. coluzzii and gambiae specimens: Plate9.zip

description: Each zip file contains the reads from one plate of amplicon sequencing for Anopheles coluzzii and An. gambiae. Reads are in 96 FASTQ files, corresponding to 96 specimens per plate. <br>
DOI: 10.6084/m9.figshare.12644132.v1
title: FASTQ files for reads from amplicon sequencing of 96 An. coluzzii and gambiae specimens: Plate10.zip

description: Each zip file contains the reads from one plate of amplicon sequencing for Anopheles coluzzii and An. gambiae. Reads are in 96 FASTQ files, corresponding to 96 specimens per plate. <br>
DOI: 10.6084/m9.figshare.12644078
title: Dataset for the paper A Framework for Developing a Decision Support System to Optimize the Deployment of Cloud-hosted Services for Guaranteeing Multitenancy Isolation

description: Dataset for a Framework for Developing a Decision Support System to Optimize the Deployment of Cloud-hosted Services for Guaranteeing Multitenancy Isolation
DOI: 10.6084/m9.figshare.12644096.v1
title: FASTQ files for reads from amplicon sequencing of 96 An. coluzzii and gambiae specimens: Plate8.zip

description: Each zip file contains the reads from one plate of amplicon sequencing for Anopheles coluzzii and An. gambiae. Reads are in 96 FASTQ files, corresponding to 96 specimens per plate. <br>
DOI: 10.6084/m9.figshare.12644162.v1
title: Interpretation: Google Scholar citation data (2013–2020)

description: Google Scholar citation data for articles appearing in the journal, <i>Interpretation</i>, from 2013–2020. Captured using Harzing's Publish or Perish software on 7 July 2020.<br>
DOI: 10.6084/m9.figshare.12644060
title: Blue Hole Shotgun Metagenome: September 2019, 95 M

description: Shotgun metagenome of the Amberjack Blue Hole water column at 95 m depth sampled in September 2019. Sequencing performed on an Illumina MiSeq with a 2 x 300 bp paired-end protocol.
DOI: 10.6084/m9.figshare.12644114.v1
title: FASTQ files for reads from amplicon sequencing of 96 An. coluzzii and gambiae specimens: Plate9.zip

description: Each zip file contains the reads from one plate of amplicon sequencing for Anopheles coluzzii and An. gambiae. Reads are in 96 FASTQ files, corresponding to 96 specimens per plate. <br>
DOI: 10.6084/m9.figshare.12644162.v3
title: Interpretation citation data (2013–2020)

description: Google Scholar citation data for articles appearing in the journal, <i>Interpretation</i>, from 2013–2020. Captured using Harzing's Publish or Perish software on 7 July 2020.<br>
DOI: 10.6084/m9.figshare.12644048
title: Blue Hole Shotgun Metagenome: May 2019, 106 M

description: Shotgun metagenome of the Amberjack Blue Hole water column at 106 m depth sampled in May 2019. Sequencing performed on an Illumina MiSeq with a 2 x 300 bp paired-end protocol.
DOI: 10.6084/m9.figshare.12644078.v1
title: Dataset for the paper A Framework for Developing a Decision Support System to Optimize the Deployment of Cloud-hosted Services for Guaranteeing Multitenancy Isolation

description: Dataset for a Framework for Developing a Decision Support System to Optimize the Deployment of Cloud-hosted Services for Guaranteeing Multitenancy Isolation
DOI: 10.6084/m9.figshare.12644162.v2
title: Interpretation citation data (2013–2020)

description: Google Scholar citation data for articles appearing in the journal, <i>Interpretation</i>, from 2013–2020. Captured using Harzing's Publish or Perish software on 7 July 2020.<br>
DOI: 10.6084/m9.figshare.12644045
title: Blue Hole Shotgun Metagenome: May 2019, 60 M

description: Shotgun metagenome of the Amberjack Blue Hole water column at 60 m depth sampled in May 2019. Sequencing performed on an Illumina MiSeq with a 2 x 300 bp paired-end protocol.
DOI: 10.6084/m9.figshare.12644051
title: Blue Hole Shotgun Metagenome: September 2019, 60 M

description: Shotgun metagenome of the Amberjack Blue Hole water column at 60 m depth sampled in September 2019. Sequencing performed on an Illumina MiSeq with a 2 x 300 bp paired-end protocol.
DOI: 10.6084/m9.figshare.12644042
title: Blue Hole Water Column Microbiome: September 2019

description: Illumina MiSeq paired-end 500 cycle 16S rRNA gene amplicon sequence data for water column samples from the Amberjack Blue Hole taken in September 2019.
DOI: 10.6084/m9.figshare.12644018
title: Blue Hole Water Column Microbiome: May 2019

description: Illumina MiSeq 500 cycle paired-end 16S rRNA gene amplicon sequence data for eleven water column samples taken from the Amberjack Blue Hole (Gulf of Mexico) in May 2019.
DOI: 10.6084/m9.figshare.12643985
title: JVASP-11841 to JVASP-12635

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12643985.v1
title: JVASP-11841 to JVASP-12635

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12644018.v1
title: Blue Hole Water Column Microbiome: May 2019

description: Illumina MiSeq 500 cycle paired-end 16S rRNA gene amplicon sequence data for eleven water column samples taken from the Amberjack Blue Hole (Gulf of Mexico) in May 2019.
DOI: 10.6084/m9.figshare.12643982
title: JVASP-10948 to JVASP-11840

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12644033.v2
title: Loughborough University Multimodal Emotion Dataset-2

description: Loughborough University Multimodal Emotion Database-2 (LUMED-2) is a new multimodal emotion dataset that was created by the researchers of Loughborough University, UK, and Hacettepe University, Turkey, by collecting simultaneous multimodal data from 13 participants (6 females and 7 males) by showing audio-visual stimuli. The total duration of all stimuli is 8 minutes and 50 seconds, which consist of short video clips selected from the web to elicit specific emotions. Between each video clip, in order to let the participants have a rest, a 20-second grey screen was showed. Although it is anticipated that each video clip elicits a distinct emotional state and thus can determine the label of the resulting emotion, in reality the same content might trigger differing emotions for different participants. Therefore, after each session, the participants were additionally asked to label the clips with the felt emotional state while watching them. Three different emotions were resulted from labelling: "sad", "neutral" and "happy". The facial expressions of the participants were captured using a webcam at a resolution of 640x480 and at 30 fps. Participants’ EEG data was captured using an ENOBIO 8-channels wireless EEG device, which has a temporal resolution of 500 Hz. We filtered EEG data for the frequency range [0, 75Hz] and applied baseline subtraction for each window. As for the peripheral physiological data, an EMPATICA E4 Wristband, powered by Bluetooth, was used to record participants’ GSR.<br>This multimodal emotion database is produced and should be used for research purposes only.<br>For any questions related to the data contained in this database, contact Dr Yucel Cimtay (yucel.cimtay@gmail.com)
DOI: 10.6084/m9.figshare.12643976
title: JVASP-10089 to JVASP-10947

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12643982.v1
title: JVASP-10948 to JVASP-11840

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12644018.v2
title: Blue Hole Water Column Microbiome: May 2019

description: Illumina MiSeq 500 cycle paired-end 16S rRNA gene amplicon sequence data for eleven water column samples taken from the Amberjack Blue Hole (Gulf of Mexico) in May 2019.
DOI: 10.6084/m9.figshare.12643973
title: Basic quality statistics of GridION sequencing data

description: Basic quality statistics of GridION sequencing data
DOI: 10.6084/m9.figshare.12643976.v1
title: JVASP-10089 to JVASP-10947

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12643973.v1
title: Basic quality statistics of GridION sequencing data

description: Basic quality statistics of GridION sequencing data
DOI: 10.6084/m9.figshare.12643955
title: Quast Report

description: Quast assembly metrics
DOI: 10.6084/m9.figshare.12643955.v1
title: Quast Report

description: Quast assembly metrics
DOI: 10.6084/m9.figshare.12644033.v3
title: Loughborough University Multimodal Emotion Dataset-2

description: Loughborough University Multimodal Emotion Database-2 (LUMED-2) is a new multimodal emotion dataset that was created by the researchers of Loughborough University, UK, and Hacettepe University, Turkey, by collecting simultaneous multimodal data from 13 participants (6 females and 7 males) by showing audio-visual stimuli. The total duration of all stimuli is 8 minutes and 50 seconds, which consist of short video clips selected from the web to elicit specific emotions. Between each video clip, in order to let the participants have a rest, a 20-second grey screen was showed. Although it is anticipated that each video clip elicits a distinct emotional state and thus can determine the label of the resulting emotion, in reality the same content might trigger differing emotions for different participants. Therefore, after each session, the participants were additionally asked to label the clips with the felt emotional state while watching them. Three different emotions were resulted from labelling: "sad", "neutral" and "happy". The facial expressions of the participants were captured using a webcam at a resolution of 640x480 and at 30 fps. Participants’ EEG data was captured using an ENOBIO 8-channels wireless EEG device, which has a temporal resolution of 500 Hz. We filtered EEG data for the frequency range [0, 75Hz] and applied baseline subtraction for each window. As for the peripheral physiological data, an EMPATICA E4 Wristband, powered by Bluetooth, was used to record participants’ GSR.<br>This multimodal emotion database is produced and should be used for research purposes only.<br>For any questions related to the data contained in this database, contact Dr Yucel Cimtay (yucel.cimtay@gmail.com)
DOI: 10.6084/m9.figshare.12643925
title: Supporting_Data_Revised.zip from Acoustic and inertial modes in planetary-like rotating ellipsoids

description: Contains scripts/data to reproduce most of the figures of the paper.
DOI: 10.6084/m9.figshare.12643925.v1
title: Supporting_Data_Revised.zip from Acoustic and inertial modes in planetary-like rotating ellipsoids

description: Contains scripts/data to reproduce most of the figures of the paper.
DOI: 10.6084/m9.figshare.12643907
title: Zip file containnig all experimental data and analysis code from The composition and friction reducing properties of leaf layers

description: Experimental data and analysis code
DOI: 10.6084/m9.figshare.12643901
title: Supplementary Figure S1 to S5 from Does Arctic warming reduce preservation of organic matter in Barents Sea sediments?

description: Over the last few decades, the Barents Sea experienced substantial warming, an expansion of relatively warm Atlantic water and a reduction in sea ice cover. This environmental change forces the entire Barents Sea ecosystem to adapt and restructure and therefore changes in pelagic–benthic coupling, organic matter sedimentation and long-term carbon sequestration are expected. Here we combine new and existing organic and inorganic geochemical surface sediment data from the western Barents Sea and show a clear link between the modern ecosystem structure, sea ice cover and the organic carbon and CaCO<sub>3</sub> contents in Barents Sea surface sediments. Furthermore, we discuss the sources of total and reactive iron phases and evaluate the spatial distribution of organic carbon bound to reactive iron. Consistent with a recent global estimate we find that on average 21.0 ± 8.3 per cent of the total organic carbon is associated to reactive iron (fOC-Fe<sub>R</sub>) in Barents Sea surface sediments. The spatial distribution of fOC-Fe<sub>R</sub>, however, seems to be unrelated to sea ice cover, Atlantic water inflow or proximity to land. Future Arctic warming might, therefore, neither increase nor decrease the burial rates of iron-associated organic carbon. However, our results also imply that ongoing sea ice reduction and the associated alteration of vertical carbon fluxes might cause accompanied shifts in the Barents Sea surface sedimentary organic carbon content, which might result in overall reduced carbon sequestration in the future.This article is part of the theme issue ‘The Changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystems’.