cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7884752.v1
title: Non-targeted GC/MS analysis of exhaled breath samples: Exploring human biomarkers of exogenous exposure and endogenous response from professional firefighting activity

description: A non-targeted analysis workflow was applied to analyze exhaled breath samples collected from firefighters pre- and post-structural fire suppression. Breath samples from firefighters functioning in attack and search positions were examined for target and non-target compounds in automated thermal desorption-GC/MS (ATD-GC/MS) selected ion monitoring (SIM)/scan mode and reviewed for prominent chemicals. Targeted chemicals included products of combustion such as benzene, toluene, xylenes, and polycyclic aromatic hydrocarbons (PAH) that serve as a standard assessment of exposure. Sixty unique chemical features representative of exogenous chemicals and endogenous compounds, including single-ring aromatics, polynuclear aromatic hydrocarbons, volatile sulfur-containing compounds, aldehydes, alkanes, and alkenes were identified using the non-targeted analysis workflow. Fifty-seven out of 60 non-targeted features changed by at least 50% from pre- to post-fire suppression activity in at least one subject, and 7 non-targeted features were found to exhibit significantly increased or decreased concentrations for all subjects as a group. This study is important for (1) alerting the firefighter community to potential new exposures, (2) expanding the current targeted list of toxicants, and (3) finding biomarkers of response to firefighting activity as reflected by changes in endogenous compounds. Data demonstrate that there are non-targeted compounds in firefighters’ breath that are indicative of environmental exposure despite the use of protective gear, and this information may be further utilized to improve the effectiveness of personal protective equipment.
DOI: 10.6084/m9.figshare.7884725
title: anomaly_salina.txt

description: grid of magnetic anomaly filed offshore salina
DOI: 10.6084/m9.figshare.7884725.v1
title: anomaly_salina.txt

description: grid of magnetic anomaly filed offshore salina
DOI: 10.6084/m9.figshare.7884749.v3
title: ‘Relationship between thermal dose and cell death for “rapid” ablative and “slow” hyperthermic heating’

description: <b>Aim:</b> Thermal isoeffective dose (TID) has not been convincingly validated for application to predict biological effects from rapid thermal ablation (e.g., using &gt;55 °C). This study compares the classical method of quantifying TID (derived from hyperthermia data) with a temperature-adjusted method based on the Arrhenius model for predicting cell survival <i>in vitro,</i> after either ‘rapid’ ablative or ‘slow’ hyperthermic exposures. <b>Methods:</b> MTT assay viability data was obtained from two human colon cancer cell lines, (HCT116, HT29), subjected to a range of TIDs (120–720 CEM<sub>43</sub>) using a thermal cycler for hyperthermic (&gt;2 minutes, &lt;50 °C) treatments, or a novel pre-heated water bath based technique for ablative exposures (&lt;10 seconds, &gt;55 °C). TID was initially estimated using a constant R<sub>CEM&gt;43</sub>°<sub>C</sub>=0.5, and subsequently using R<sub>CEM</sub>(T), derived from temperature dependent cell survival (injury rate) Arrhenius analysis. <b>Results:</b> ‘Slow’ and ‘rapid’ exposures resulted in cell survival and significant regrowth (both cell lines) 10 days post-treatment for 240 CEM<sub>43</sub> (R<sub>CEM&gt;43</sub>°<sub>C</sub>=0.5), while 340-550 CEM<sub>43</sub> (R<sub>CEM&gt;43</sub>°<sub>C</sub> =0.5) delivered using ‘rapid’ exposures showed 12 ± 6% viability and ‘slow’ exposures resulted in undetectable viability. Arrhenius analysis of experimental data (activation energy ΔE = 5.78 ± 0.04 × 10<sup>5</sup> J mole<sup>−1</sup>, frequency factor <i>A</i> = 3.27 ± 11 × 10<sup>91</sup> sec<sup>−1</sup>) yielded R<sub>CEM</sub>=0.42 * e<sup>0.0041*T</sup> which better-predicted cell survival than using R <sub>CEM&gt; 43</sub>°<sub>C</sub>=0.5. <b>Conclusions:</b> TID calculated using an R<sub>CEM</sub>(T) informed by Arrhenius kinetic parameters provided a more consistent, heating strategy independent, predictor of cell viability, improving dosimetry of ablative thermal exposures. Cell viability was only undetectable above 305 ± 10 CEM<sub>43</sub> using this revised measure.
DOI: 10.6084/m9.figshare.7884749.v2
title: ‘Relationship between thermal dose and cell death for “rapid” ablative and “slow” hyperthermic heating’

description: <b>Aim:</b> Thermal isoeffective dose (TID) has not been convincingly validated for application to predict biological effects from rapid thermal ablation (e.g., using &gt;55 °C). This study compares the classical method of quantifying TID (derived from hyperthermia data) with a temperature-adjusted method based on the Arrhenius model for predicting cell survival <i>in vitro,</i> after either ‘rapid’ ablative or ‘slow’ hyperthermic exposures. <b>Methods:</b> MTT assay viability data was obtained from two human colon cancer cell lines, (HCT116, HT29), subjected to a range of TIDs (120–720 CEM<sub>43</sub>) using a thermal cycler for hyperthermic (&gt;2 minutes, &lt;50 °C) treatments, or a novel pre-heated water bath based technique for ablative exposures (&lt;10 seconds, &gt;55 °C). TID was initially estimated using a constant R<sub>CEM&gt;43</sub>°<sub>C</sub>=0.5, and subsequently using R<sub>CEM</sub>(T), derived from temperature dependent cell survival (injury rate) Arrhenius analysis. <b>Results:</b> ‘Slow’ and ‘rapid’ exposures resulted in cell survival and significant regrowth (both cell lines) 10 days post-treatment for 240 CEM<sub>43</sub> (R<sub>CEM&gt;43</sub>°<sub>C</sub>=0.5), while 340-550 CEM<sub>43</sub> (R<sub>CEM&gt;43</sub>°<sub>C</sub> =0.5) delivered using ‘rapid’ exposures showed 12 ± 6% viability and ‘slow’ exposures resulted in undetectable viability. Arrhenius analysis of experimental data (activation energy ΔE = 5.78 ± 0.04 × 10<sup>5</sup> J mole<sup>−1</sup>, frequency factor <i>A</i> = 3.27 ± 11 × 10<sup>91</sup> sec<sup>−1</sup>) yielded R<sub>CEM</sub>=0.42 * e<sup>0.0041*T</sup> which better-predicted cell survival than using R <sub>CEM&gt; 43</sub>°<sub>C</sub>=0.5. <b>Conclusions:</b> TID calculated using an R<sub>CEM</sub>(T) informed by Arrhenius kinetic parameters provided a more consistent, heating strategy independent, predictor of cell viability, improving dosimetry of ablative thermal exposures. Cell viability was only undetectable above 305 ± 10 CEM<sub>43</sub> using this revised measure.
DOI: 10.18462/iir.rankine.2020.1118
title: Review of ultra-low GWP molecules – thermodynamics properties and their characteristics for use in HVAC&R.
DOI: 10.6084/m9.figshare.7884554
title: Supplement Material of "Putative promoters within gene bodies control exon expression via TET1 mediated H3K36 methylation"

description: Targent genes in File S1; The methylation levels of CGIs and promoters of target genes in Figure S1; The primers of RT-PCR are listed in File S2; Pyrosequencing Data in File S3; Primers for CHIP-qPCR in File S4; Primers for Pyrosequencing in File S5
DOI: 10.6084/m9.figshare.7884548
title: Denotative Description Ontology (ArCo network)

description: In the Denotative Description module are modelled pieces of information regarding the characteristics and qualities of a cultural property, as detectable and/or detected during the cataloguing process. Examples are: measurements, materials, technique, conservation status.
DOI: 10.6084/m9.figshare.7884545
title: ArCo core module

description: Core module of the ArCo ontology network.
DOI: 10.6084/m9.figshare.7884548.v1
title: Denotative Description Ontology (ArCo network)

description: In the Denotative Description module are modelled pieces of information regarding the characteristics and qualities of a cultural property, as detectable and/or detected during the cataloguing process. Examples are: measurements, materials, technique, conservation status.
DOI: 10.6084/m9.figshare.7884539
title: ArCo Ontology (ArCo network)

description: The ArCo module is the central node of the network ArCo - Architecture of Knowledge. It imports all the other modules and the ontologies directly reused, and models core information about cultural heritage.
DOI: 10.6084/m9.figshare.7884545.v1
title: ArCo core module

description: Core module of the ArCo ontology network.
DOI: 10.6084/m9.figshare.7884539.v1
title: ArCo Ontology (ArCo network)

description: The ArCo module is the central node of the network ArCo - Architecture of Knowledge. It imports all the other modules and the ontologies directly reused, and models core information about cultural heritage.
DOI: 10.6084/m9.figshare.7884401
title: Additional file 1: of Genome-wide discovery of structured noncoding RNAs in bacteria

description: Table S1. Additional details regarding each motif and the summary of findings from all five genomes are presented in this table. (XLSX 44 kb)
DOI: 10.6084/m9.figshare.7884401.v1
title: Additional file 1: of Genome-wide discovery of structured noncoding RNAs in bacteria

description: Table S1. Additional details regarding each motif and the summary of findings from all five genomes are presented in this table. (XLSX 44 kb)
DOI: 10.6084/m9.figshare.7884392
title: Additional file 2 of EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

description: The list of participants in the 1st Human Cell Atlas Jamboree. (TSV 1 kb)
DOI: 10.6084/m9.figshare.7884392.v1
title: Additional file 2 of EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

description: The list of participants in the 1st Human Cell Atlas Jamboree. (TSV 1 kb)
DOI: 10.6084/m9.figshare.12881393
title: SLA_4May2018

description: Gridded SLA data from cds.climate.copernicus.eu for 4 May 2018.
DOI: 10.6084/m9.figshare.12881393.v1
title: SLA_4May2018

description: Gridded SLA data from cds.climate.copernicus.eu for 4 May 2018.
DOI: 10.6084/m9.figshare.7884332
title: Additional file 8: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S6. ncRNAs detected in the study. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.7884332.v1
title: Additional file 8: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S6. ncRNAs detected in the study. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.7884311
title: Additional file 5: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S4. Identification of transcript 3′ ends and presence of a predicted rho-independent terminator. (XLSX 62 kb)
DOI: 10.6084/m9.figshare.7884317
title: Additional file 6: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S5. Operon map predicted in strain S119. (XLSX 61 kb)
DOI: 10.6084/m9.figshare.7884311.v1
title: Additional file 5: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S4. Identification of transcript 3′ ends and presence of a predicted rho-independent terminator. (XLSX 62 kb)
DOI: 10.6084/m9.figshare.7884305
title: Additional file 4: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S3. Predicted positions of gene TSS in representative strains of other M types. (XLSX 148 kb)
DOI: 10.6084/m9.figshare.7884317.v1
title: Additional file 6: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S5. Operon map predicted in strain S119. (XLSX 61 kb)
DOI: 10.6084/m9.figshare.7884305.v1
title: Additional file 4: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S3. Predicted positions of gene TSS in representative strains of other M types. (XLSX 148 kb)
DOI: 10.6084/m9.figshare.7884293
title: Additional file 2: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S2. TSS detected in the study. (XLSX 138 kb)
DOI: 10.6084/m9.figshare.7884284
title: Additional file 18: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: R scripts used to determine 3′ ends of transcripts from RNA-seq data. RNA-seq libraries were obtained by using the primer-ligation method as described in Methods. The file provides a copy of the three scripts successively used from the RNA-seq read files to the final table (script1: “coverage_table”; Script2: Table_Annot_script; Script3: Terminator), as well as examples of the Tables used as entry points for running the scripts (Infogen.txt, table soft.txt, table RunInfo.txt, table CDS.txt). (TXT 65 kb)
DOI: 10.6084/m9.figshare.7884293.v1
title: Additional file 2: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S2. TSS detected in the study. (XLSX 138 kb)
DOI: 10.6084/m9.figshare.7884284.v1
title: Additional file 18: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: R scripts used to determine 3′ ends of transcripts from RNA-seq data. RNA-seq libraries were obtained by using the primer-ligation method as described in Methods. The file provides a copy of the three scripts successively used from the RNA-seq read files to the final table (script1: “coverage_table”; Script2: Table_Annot_script; Script3: Terminator), as well as examples of the Tables used as entry points for running the scripts (Infogen.txt, table soft.txt, table RunInfo.txt, table CDS.txt). (TXT 65 kb)
DOI: 10.6084/m9.figshare.7884278
title: Additional file 17: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S9. Comparison between TSS identified in this study and in previous studies. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.7884278.v1
title: Additional file 17: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S9. Comparison between TSS identified in this study and in previous studies. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.7884239
title: Additional file 11: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S8. Characteristics of long 5′ UTRs conserved between S. pyogenes and S. agalactiae. (XLSX 15 kb)
DOI: 10.18462/iir.rankine.2020.1119
title: Characteristics of blends using low GWP molecules for application in centrifugal and screw compressor-based chillers.
DOI: 10.6084/m9.figshare.7884239.v1
title: Additional file 11: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S8. Characteristics of long 5′ UTRs conserved between S. pyogenes and S. agalactiae. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.7884230
title: Additional file 10: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S7. Genes regulated in response to the presence of high Mg2+ concentrations (XLSX 21 kb)
DOI: 10.6084/m9.figshare.7884230.v1
title: Additional file 10: of Conserved and specific features of Streptococcus pyogenes and Streptococcus agalactiae transcriptional landscapes

description: Table S7. Genes regulated in response to the presence of high Mg2+ concentrations (XLSX 21 kb)
DOI: 10.6084/m9.figshare.7884173
title: Additional file 1: of What is a tree in the Mediterranean Basin hotspot? A critical analysis

description: Table S1. Checklist of the tree taxa (species and subspecies) occuring in theMediterranean-European region, from Portugal to Cyprus. The definition of the families follows the Angiosperm Phylogeny Group (APG III 2009; APG IV 2016). Theretained nomenclature of the tree taxa is compared with those of the Euro+Med database ( http://www.emplantbase.org/home.html ), the volume series Chorology of trees and shrubs in south-westAsia and adjacent regions (Browicz 1982–1996) and the World Checklist Kew. For the occurence of eachtree taxa in a country or a large island, we indicate the endemism status, the cultivated status, theautochthonous (native: N) or allochthonous (introduced: I) status. Taxa for which the presence is notconfirmed but possible are quoted as "putative presence », i.e.“?”. (XLSX 71 kb)
DOI: 10.6084/m9.figshare.7884164
title: Additional file 2: of Mal de Río Cuarto virus infection causes hormone imbalance and sugar accumulation in wheat leaves

description: Table S1. Differentially accumulated transcripts (DATs) upon MRCV infection at 12 and 21 dpi. For each gene, the normalized mean count for mock-inoculated and MRCV-infected samples, the fold change and the FDR-adjusted P-value (padj) are indicated. The annotations from Ensembl plants Release 37 or inferred in this work are included. Table S2. DATs classified as wheat Transcription factors according to reference [27]. Table S3. DATs classified as Carbohydrate-related according to their functional annotation. Table S4. Putative wheat invertases and fructosyltransferases, Tre6P synthases (TPS) and Sugars Will Eventually be Exported Transporters (SWEET) used to build the phylogenetic trees shown on Additional file 1: Figures S4-S6. Sequences encoded by DATs at 21 dpi are highlighted in red (increased upon the infection) and blue (decreased). A/N Inv, Vac Inv and CW Inv stand for acid and/or neutral, vacuolar and cell wall invertases respectively. Fructosyltransferases included sucrose:sucrose 1-fructosyltransferase (1-SST), fructan:fructan 1-fructosyltransferases (1-FFT) and sucrose:fructan 6-fructosyltransferases (6-SFT). Table S5. DATs classified as Amino acid-related according to their functional annotation. Amino acid transporters were extracted from reference [45]. Table S6. DATs classified as Hormone-related according to their functional annotation. Table S7. Primer sequences used for qRT-PCR validations. (XLSX 717 kb)
DOI: 10.6084/m9.figshare.7884173.v1
title: Additional file 1: of What is a tree in the Mediterranean Basin hotspot? A critical analysis

description: Table S1. Checklist of the tree taxa (species and subspecies) occuring in theMediterranean-European region, from Portugal to Cyprus. The definition of the families follows the Angiosperm Phylogeny Group (APG III 2009; APG IV 2016). Theretained nomenclature of the tree taxa is compared with those of the Euro+Med database ( http://www.emplantbase.org/home.html ), the volume series Chorology of trees and shrubs in south-westAsia and adjacent regions (Browicz 1982–1996) and the World Checklist Kew. For the occurence of eachtree taxa in a country or a large island, we indicate the endemism status, the cultivated status, theautochthonous (native: N) or allochthonous (introduced: I) status. Taxa for which the presence is notconfirmed but possible are quoted as "putative presence », i.e.“?”. (XLSX 71 kb)
DOI: 10.6084/m9.figshare.7884164.v1
title: Additional file 2: of Mal de Río Cuarto virus infection causes hormone imbalance and sugar accumulation in wheat leaves

description: Table S1. Differentially accumulated transcripts (DATs) upon MRCV infection at 12 and 21 dpi. For each gene, the normalized mean count for mock-inoculated and MRCV-infected samples, the fold change and the FDR-adjusted P-value (padj) are indicated. The annotations from Ensembl plants Release 37 or inferred in this work are included. Table S2. DATs classified as wheat Transcription factors according to reference [27]. Table S3. DATs classified as Carbohydrate-related according to their functional annotation. Table S4. Putative wheat invertases and fructosyltransferases, Tre6P synthases (TPS) and Sugars Will Eventually be Exported Transporters (SWEET) used to build the phylogenetic trees shown on Additional file 1: Figures S4-S6. Sequences encoded by DATs at 21 dpi are highlighted in red (increased upon the infection) and blue (decreased). A/N Inv, Vac Inv and CW Inv stand for acid and/or neutral, vacuolar and cell wall invertases respectively. Fructosyltransferases included sucrose:sucrose 1-fructosyltransferase (1-SST), fructan:fructan 1-fructosyltransferases (1-FFT) and sucrose:fructan 6-fructosyltransferases (6-SFT). Table S5. DATs classified as Amino acid-related according to their functional annotation. Amino acid transporters were extracted from reference [45]. Table S6. DATs classified as Hormone-related according to their functional annotation. Table S7. Primer sequences used for qRT-PCR validations. (XLSX 717 kb)
DOI: 10.6084/m9.figshare.7884104
title: MOESM3 of The past, present and future of anti-malarial medicines

description: Additional file 3. SMILES strings and CID numbers for compounds. List of SMILES strings and CID numbers for every compound described in this review.
DOI: 10.6084/m9.figshare.7884104.v1
title: MOESM3 of The past, present and future of anti-malarial medicines

description: Additional file 3. SMILES strings and CID numbers for compounds. List of SMILES strings and CID numbers for every compound described in this review.
DOI: 10.6084/m9.figshare.7884092
title: MOESM1 of The past, present and future of anti-malarial medicines

description: Additional file 1. Compounds reference list. List of SciFinder reference dois for each compound described in the Future section of this review.
DOI: 10.6084/m9.figshare.7884092.v1
title: MOESM1 of The past, present and future of anti-malarial medicines

description: Additional file 1. Compounds reference list. List of SciFinder reference dois for each compound described in the Future section of this review.
DOI: 10.6084/m9.figshare.7884095
title: MOESM2 of The past, present and future of anti-malarial medicines

description: Additional file 2. Biological data for compounds. Tabulation of biological potencies and pharmacokinetic properties for each compound described in Future section of this review.
DOI: 10.6084/m9.figshare.7884083
title: Additional file 3: of Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

description: McCann et al. 2018 report. Report with figures reproducing results from McCann et al. 2018 [64]. (HTML 812 kb)
DOI: 10.6084/m9.figshare.7884089
title: Additional file 4: of Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

description: Shallow shotgun pilot report. Report with figures relating to the shallow shotgun pilot study described above. (HTML 1252 kb)
DOI: 10.6084/m9.figshare.7884095.v1
title: MOESM2 of The past, present and future of anti-malarial medicines

description: Additional file 2. Biological data for compounds. Tabulation of biological potencies and pharmacokinetic properties for each compound described in Future section of this review.
DOI: 10.6084/m9.figshare.7884077
title: Additional file 2: of Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

description: Bahram et al. 2018 report. Report with figures reproducing results from Bahram et al. 2018 [63]. (HTML 954 kb)
DOI: 10.6084/m9.figshare.7884083.v1
title: Additional file 3: of Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

description: McCann et al. 2018 report. Report with figures reproducing results from McCann et al. 2018 [64]. (HTML 812 kb)
DOI: 10.6084/m9.figshare.7884074
title: Additional file 2: of Oviposition and father presence reduce clutch cannibalism by female poison frogs

description: Dataset S1. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.7884077.v1
title: Additional file 2: of Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

description: Bahram et al. 2018 report. Report with figures reproducing results from Bahram et al. 2018 [63]. (HTML 954 kb)