cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7884965
title: gVCF_NA18591

description: 1000 Genomes gVCF mapped to hs37d5 for NA18591. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884968
title: gVCF_HG01187

description: 1000 Genomes gVCF mapped to hs37d5 for HG01187. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884971
title: gVCF_HG02855

description: 1000 Genomes gVCF mapped to hs37d5 for HG02855. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884974
title: gVCF_HG01188

description: 1000 Genomes gVCF mapped to hs37d5 for HG01188. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884980.v1
title: gVCF_HG02860

description: 1000 Genomes gVCF mapped to hs37d5 for HG02860. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884962
title: gVCF_HG01183

description: 1000 Genomes gVCF mapped to hs37d5 for HG01183. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884965.v1
title: gVCF_NA18591

description: 1000 Genomes gVCF mapped to hs37d5 for NA18591. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884968.v1
title: gVCF_HG01187

description: 1000 Genomes gVCF mapped to hs37d5 for HG01187. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884971.v1
title: gVCF_HG02855

description: 1000 Genomes gVCF mapped to hs37d5 for HG02855. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884950
title: gVCF_NA18582

description: 1000 Genomes gVCF mapped to hs37d5 for NA18582. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884956
title: gVCF_HG01182

description: 1000 Genomes gVCF mapped to hs37d5 for HG01182. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884959
title: gVCF_HG02854

description: 1000 Genomes gVCF mapped to hs37d5 for HG02854. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884944
title: gVCF_HG02852

description: 1000 Genomes gVCF mapped to hs37d5 for HG02852. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884950.v1
title: gVCF_NA18582

description: 1000 Genomes gVCF mapped to hs37d5 for NA18582. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884959.v1
title: gVCF_HG02854

description: 1000 Genomes gVCF mapped to hs37d5 for HG02854. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884962.v1
title: gVCF_HG01183

description: 1000 Genomes gVCF mapped to hs37d5 for HG01183. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884923
title: gVCF_NA18577

description: 1000 Genomes gVCF mapped to hs37d5 for NA18577. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884926
title: gVCF_HG02851

description: 1000 Genomes gVCF mapped to hs37d5 for HG02851. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884938
title: gVCF_HG01177

description: 1000 Genomes gVCF mapped to hs37d5 for HG01177. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884920
title: gVCF_HG01176

description: 1000 Genomes gVCF mapped to hs37d5 for HG01176. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884923.v1
title: gVCF_NA18577

description: 1000 Genomes gVCF mapped to hs37d5 for NA18577. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884926.v1
title: gVCF_HG02851

description: 1000 Genomes gVCF mapped to hs37d5 for HG02851. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884938.v1
title: gVCF_HG01177

description: 1000 Genomes gVCF mapped to hs37d5 for HG01177. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884914
title: gVCF_HG02840

description: 1000 Genomes gVCF mapped to hs37d5 for HG02840. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884920.v1
title: gVCF_HG01176

description: 1000 Genomes gVCF mapped to hs37d5 for HG01176. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884944.v1
title: gVCF_HG02852

description: 1000 Genomes gVCF mapped to hs37d5 for HG02852. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884905
title: gVCF_NA18574

description: 1000 Genomes gVCF mapped to hs37d5 for NA18574. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884908
title: gVCF_HG01174

description: 1000 Genomes gVCF mapped to hs37d5 for HG01174. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884914.v1
title: gVCF_HG02840

description: 1000 Genomes gVCF mapped to hs37d5 for HG02840. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884890
title: gVCF_HG02839

description: 1000 Genomes gVCF mapped to hs37d5 for HG02839. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884893
title: gVCF_HG01173

description: 1000 Genomes gVCF mapped to hs37d5 for HG01173. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884905.v1
title: gVCF_NA18574

description: 1000 Genomes gVCF mapped to hs37d5 for NA18574. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884887
title: Population structuring of <i>Channa striata</i> from Indian waters using control region of mtDNA

description: Striped snakehead (<i>Channa striata</i>) is a freshwater species of early Miocene period belonging to family Channidae. The genetic variability of the snakehead populations in India was not well known. Present study was undertaken using 149 sequences of control region of mitochondrial DNA from seven geographically distinct populations of Indian water, which resulted in 46 haplotypes with 137 variable nucleotide sites (60 singletons and 77 parsimony informative) and the nucleotide frequencies was: A = 33.0, T = 28.1, G = 15.4, and C = 23.5%. The presence of low-frequency of younger haplotypes with a large number of singletons indicates the absence of dominant haplotype. Hierarchical AMOVA showed highly significant genetic differentiation (<i>F</i><sub>ST</sub> = 0.56, <i>p</i> C. striata in Indian waters is rejected.
DOI: 10.6084/m9.figshare.7884908.v1
title: gVCF_HG01174

description: 1000 Genomes gVCF mapped to hs37d5 for HG01174. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884881
title: gVCF_HG01171

description: 1000 Genomes gVCF mapped to hs37d5 for HG01171. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884890.v1
title: gVCF_HG02839

description: 1000 Genomes gVCF mapped to hs37d5 for HG02839. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884893.v1
title: gVCF_HG01173

description: 1000 Genomes gVCF mapped to hs37d5 for HG01173. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884875
title: gVCF_HG02837

description: 1000 Genomes gVCF mapped to hs37d5 for HG02837. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884878
title: gVCF_NA18573

description: 1000 Genomes gVCF mapped to hs37d5 for NA18573. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884887.v1
title: Population structuring of <i>Channa striata</i> from Indian waters using control region of mtDNA

description: Striped snakehead (<i>Channa striata</i>) is a freshwater species of early Miocene period belonging to family Channidae. The genetic variability of the snakehead populations in India was not well known. Present study was undertaken using 149 sequences of control region of mitochondrial DNA from seven geographically distinct populations of Indian water, which resulted in 46 haplotypes with 137 variable nucleotide sites (60 singletons and 77 parsimony informative) and the nucleotide frequencies was: A = 33.0, T = 28.1, G = 15.4, and C = 23.5%. The presence of low-frequency of younger haplotypes with a large number of singletons indicates the absence of dominant haplotype. Hierarchical AMOVA showed highly significant genetic differentiation (<i>F</i><sub>ST</sub> = 0.56, <i>p</i> C. striata in Indian waters is rejected.
DOI: 10.6084/m9.figshare.7884866
title: gVCF_HG02836

description: 1000 Genomes gVCF mapped to hs37d5 for HG02836. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884872
title: gVCF_HG01170

description: 1000 Genomes gVCF mapped to hs37d5 for HG01170. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884878.v1
title: gVCF_NA18573

description: 1000 Genomes gVCF mapped to hs37d5 for NA18573. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884863
title: gVCF_NA18572

description: 1000 Genomes gVCF mapped to hs37d5 for NA18572. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884866.v1
title: gVCF_HG02836

description: 1000 Genomes gVCF mapped to hs37d5 for HG02836. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884872.v1
title: gVCF_HG01170

description: 1000 Genomes gVCF mapped to hs37d5 for HG01170. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884875.v1
title: gVCF_HG02837

description: 1000 Genomes gVCF mapped to hs37d5 for HG02837. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884857
title: gVCF_HG02820

description: 1000 Genomes gVCF mapped to hs37d5 for HG02820. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884860
title: gVCF_HG01168

description: 1000 Genomes gVCF mapped to hs37d5 for HG01168. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884863.v1
title: gVCF_NA18572

description: 1000 Genomes gVCF mapped to hs37d5 for NA18572. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884848
title: gVCF_HG01167

description: 1000 Genomes gVCF mapped to hs37d5 for HG01167. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884851
title: gVCF_HG02819

description: 1000 Genomes gVCF mapped to hs37d5 for HG02819. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884857.v1
title: gVCF_HG02820

description: 1000 Genomes gVCF mapped to hs37d5 for HG02820. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884854
title: R Code and data for Rizzuto et al. Patterns and potential drivers of intraspecific variability in the body elemental composition of a terrestrial consumer, the snowshoe hare (Lepus americanus).

description: This repository contains R code and data for Rizzuto et al. Patterns and potential drivers of intraspecific variability in the body elemental composition of a terrestrial consumer, the snowshoe hare (<i>Lepus americanus</i>). <br>See README.md for details on the repository contents.<br><br>
DOI: 10.6084/m9.figshare.7884860.v1
title: gVCF_HG01168

description: 1000 Genomes gVCF mapped to hs37d5 for HG01168. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884839
title: High fat diet alters gut microbiota but not spatial working memory in early middle-aged Sprague Dawley rats

description: The following data set includes: a file with rat body weights and food consumption during an 8 week study where one group of rats received a low fat, control diet and one group of rats received a high fat diet. These diets were matched for sucrose content. The data set also includes: a file indicating errors/performance on the water radial arm maze, gut microbe relative abundance counts for various genera, and average microglia counts in three brain regions: cortex, hippocampus, and hypothalamus.
DOI: 10.6084/m9.figshare.7884842
title: gVCF_NA18571

description: 1000 Genomes gVCF mapped to hs37d5 for NA18571. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884848.v1
title: gVCF_HG01167

description: 1000 Genomes gVCF mapped to hs37d5 for HG01167. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884851.v1
title: gVCF_HG02819

description: 1000 Genomes gVCF mapped to hs37d5 for HG02819. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884836
title: gVCF_HG02817

description: 1000 Genomes gVCF mapped to hs37d5 for HG02817. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884839.v1
title: High fat diet alters gut microbiota but not spatial working memory in early middle-aged Sprague Dawley rats

description: The following data set includes: a file with rat body weights and food consumption during an 8 week study where one group of rats received a low fat, control diet and one group of rats received a high fat diet. These diets were matched for sucrose content. The data set also includes: a file indicating errors/performance on the water radial arm maze, gut microbe relative abundance counts for various genera, and average microglia counts in three brain regions: cortex, hippocampus, and hypothalamus.
DOI: 10.6084/m9.figshare.7884842.v1
title: gVCF_NA18571

description: 1000 Genomes gVCF mapped to hs37d5 for NA18571. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884854.v2
title: R Code and data for Rizzuto et al. Patterns and potential drivers of intraspecific variability in the body elemental composition of a terrestrial consumer, the snowshoe hare (Lepus americanus).

description: This repository contains R code and data for Rizzuto et al. Patterns and potential drivers of intraspecific variability in the body elemental composition of a terrestrial consumer, the snowshoe hare (<i>Lepus americanus</i>). <br>See README.md for details on the repository contents.<br><br>
DOI: 10.6084/m9.figshare.7884830
title: gVCF_NA18570

description: 1000 Genomes gVCF mapped to hs37d5 for NA18570. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884833
title: gVCF_HG01164

description: 1000 Genomes gVCF mapped to hs37d5 for HG01164. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884836.v1
title: gVCF_HG02817

description: 1000 Genomes gVCF mapped to hs37d5 for HG02817. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884854.v1
title: R Code and data for Rizzuto et al. Patterns and potential drivers of intraspecific variability in the body elemental composition of a terrestrial consumer, the snowshoe hare (Lepus americanus).

description: This repository contains R code and data for Rizzuto et al. Patterns and potential drivers of intraspecific variability in the body elemental composition of a terrestrial consumer, the snowshoe hare (<i>Lepus americanus</i>). <br>See README.md for details on the repository contents.<br><br>
DOI: 10.6084/m9.figshare.7884824
title: gVCF_HG01162

description: 1000 Genomes gVCF mapped to hs37d5 for HG01162. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884827
title: gVCF_HG02816

description: 1000 Genomes gVCF mapped to hs37d5 for HG02816. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884812
title: gVCF_HG02814

description: 1000 Genomes gVCF mapped to hs37d5 for HG02814. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884815
title: gVCF_HG01161

description: 1000 Genomes gVCF mapped to hs37d5 for HG01161. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884818
title: gVCF_NA18567

description: 1000 Genomes gVCF mapped to hs37d5 for NA18567. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884818.v1
title: gVCF_NA18567

description: 1000 Genomes gVCF mapped to hs37d5 for NA18567. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884824.v1
title: gVCF_HG01162

description: 1000 Genomes gVCF mapped to hs37d5 for HG01162. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884806
title: gVCF_NA18566

description: 1000 Genomes gVCF mapped to hs37d5 for NA18566. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884809
title: gVCF_HG01149

description: 1000 Genomes gVCF mapped to hs37d5 for HG01149. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884812.v1
title: gVCF_HG02814

description: 1000 Genomes gVCF mapped to hs37d5 for HG02814. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884803
title: gVCF_HG02813

description: 1000 Genomes gVCF mapped to hs37d5 for HG02813. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884809.v1
title: gVCF_HG01149

description: 1000 Genomes gVCF mapped to hs37d5 for HG01149. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884815.v1
title: gVCF_HG01161

description: 1000 Genomes gVCF mapped to hs37d5 for HG01161. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884797
title: gVCF_NA18565

description: 1000 Genomes gVCF mapped to hs37d5 for NA18565. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884803.v1
title: gVCF_HG02813

description: 1000 Genomes gVCF mapped to hs37d5 for HG02813. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884806.v1
title: gVCF_NA18566

description: 1000 Genomes gVCF mapped to hs37d5 for NA18566. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884791
title: gVCF_HG02810

description: 1000 Genomes gVCF mapped to hs37d5 for HG02810. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884797.v1
title: gVCF_NA18565

description: 1000 Genomes gVCF mapped to hs37d5 for NA18565. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884800
title: gVCF_HG01148

description: 1000 Genomes gVCF mapped to hs37d5 for HG01148. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884788
title: gVCF_HG01142

description: 1000 Genomes gVCF mapped to hs37d5 for HG01142. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884800.v1
title: gVCF_HG01148

description: 1000 Genomes gVCF mapped to hs37d5 for HG01148. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884788.v1
title: gVCF_HG01142

description: 1000 Genomes gVCF mapped to hs37d5 for HG01142. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884791.v1
title: gVCF_HG02810

description: 1000 Genomes gVCF mapped to hs37d5 for HG02810. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7884749
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.7884752
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.