cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8081111.v1
title: Data and results "Menopausal status is associated with a high risk for residual disease after cervical conization with positive margins"

description: A cross-sectional study was conducted. The eligible patients were women who underwent hysterectomy as a treatment option after having a positive endocervical margin for CIN 2/3 in cervix conization specimens from 2000 to 2015. The patients were divided into two groups based on the persistence of CIN 2/3 and absence of CIN 2/3 in hysterectomy specimens. Demographic, clinical and histology information were collected in both groups. A total of 80 patients were eligible for the study; 37 (46.3%) had no persistence of CIN 2/3 and 43 (53.7%) had persistence of CIN 2/3 in the hysterectomy specimens. Demographic, clinical, and cone specimen characteristics, and a visible squamocolumnar junction and type of conization were analyzed as possible risk factors for the presence of residual lesions at hysterectomy, and none of these variables were associated with residual disease. Menopausal status was strongly associated with a high risk of persistent residual disease 81.2% (OR 4.9, CI 1.27-18.9), <i>P</i>=0.014. In the multivariate analysis, only a menopausal status (<i>P=</i>0.04) was associated with a high risk of persistent lesions.<br>
DOI: 10.6084/m9.figshare.8081105
title: Landmark Coordinates for Canid Tooth Scores

description: Landmark data from tooth scores of different species of canid, including Wolves, Foxes and Irish Setter Gundogs. All data property of the authors of the article:<br><b>Yravedra, J.; Maté-González, M.Á.; Courtenay, L.A.; González-Aguilera, D. (In Prep) The use of dog, wolf and fox tooth marks on bone for the identification of livestock predation</b>
DOI: 10.6084/m9.figshare.8081117.v2
title: Axshya SAMVAD treatment outcome data

description: This contains the dataset of 572 study participants included in Axhsya SAMVAD study treatment outcome paper. The data is in STATA format
DOI: 10.6084/m9.figshare.8081129.v1
title: Gas fluxes and biological and physiochemical measurements made across an Arctic forefield.

description: Halocarbon fluxes measured using dynamic flux chambers across a retreating glacier's forefield, at Midtre Lovenbreen, Svalbard. Also included in this dataset, are physiochemical and biological parameters of the soil where each chamber measurement was conducted. If using this data, please cite: Macdonald, M.L., Wadham, J.L., Young, D., O'Dohery, S., Lunder, C., Hermansen, O., Lamarche-Gagnon, G., (2019). Consumption of CH3Cl, CH3Br and CH3I and emission of CHCl3, CHBr3 and CH2Br2 from a retreating Arctic glacier’s forefield. JOURNAL, VOL, ISSUE. doi: XXXX
DOI: 10.6084/m9.figshare.8081081
title: Landmark Coordinates for Canid Tooth Pits

description: Landmark data from tooth pits of different species of canid, including Wolves, Foxes and Irish Setter Gundogs. All data property of the authors of the article:<br><b>Yravedra, J.; Maté-González, M.Á.; Courtenay, L.A.; González-Aguilera, D. (In Prep) The use of dog, wolf and fox tooth marks on bone for the identification of livestock predation</b>
DOI: 10.6084/m9.figshare.8081117.v1
title: Axshya SAMVAD treatment outcome data

description: This contains the dataset of 572 study participants included in Axhsya SAMVAD study treatment outcome paper. The data is in STATA format
DOI: 10.6084/m9.figshare.8081105.v1
title: Landmark Coordinates for Canid Tooth Scores

description: Landmark data from tooth scores of different species of canid, including Wolves, Foxes and Irish Setter Gundogs. All data property of the authors of the article:<br><b>Yravedra, J.; Maté-González, M.Á.; Courtenay, L.A.; González-Aguilera, D. (In Prep) The use of dog, wolf and fox tooth marks on bone for the identification of livestock predation</b>
DOI: 10.6084/m9.figshare.8081072
title: Results of first microarray trial

description: Table of results of first microarray trial. LIMMA analysis was used to compare 3 rat striatum samples (total RNA), which were prenatally METH exposed and 3 rat striatum SAL samples (total RNA), which were prenatally SAL exposed. There, in first list, is a list of significantly up-regulated and down-regulated genes <i>(p &lt;</i> 0.05 and logFC &gt; 1) . There, in second list, is a list of up-regulated nad down-regulated genes.
DOI: 10.6084/m9.figshare.8081129.v2
title: Gas fluxes and biological and physiochemical measurements made across an Arctic forefield.

description: Halocarbon fluxes measured using dynamic flux chambers across a retreating glacier's forefield, at Midtre Lovenbreen, Svalbard. Also included in this dataset, are physiochemical and biological parameters of the soil where each chamber measurement was conducted. If using this data, please cite the original paper: Macdonald, M. L., Wadham, J. L., Young, D., Lunder, C. R., Hermansen, O., Lamarche-Gagnon, G., and O'Doherty, S.: Consumption of CH3Cl, CH3Br, and CH3I and emission of CHCl3, CHBr3, and CH2Br2 from the forefield of a retreating Arctic glacier, Atmos. Chem. Phys., 20, 7243–7258, https://doi.org/10.5194/acp-20-7243-2020, 2020.
DOI: 10.6084/m9.figshare.8080988
title: Supplementary_Table_4_Correlation_analysis.xlsx

description: Supplementary Table 4. A. Correlation analysis performed between bacteria abundances computed using metagenomic or sRNA-Seq data. Results are reported for each bacteria annotation. Only statistically significant results are reported (adjusted p-value &lt; 0.05). B. Correlation analysis performed for each sample analyzed in this study considering different taxonomic levels. C. Bacterial species characterized by the highest correlation (r &gt; 0.6) between relative abundance computed using metagenomic and sRNA-Seq data. D. The ratio between relative bacteria abundances computed using sRNA-Seq and metagenomic data.
DOI: 10.6084/m9.figshare.8080985
title: Supplementary_Table_6_RNA_Central_and_BSRD_bsRNA_analysis.xlsx

description: Supplementary Table 6. A. List of the RNA Central v12 annotations considered in our analysis. B. List of differentially expressed bsRNAs from RNA Central v12 database. C. List of differentially expressed bsRNAs from Bacteria Small RNA Database.
DOI: 10.6084/m9.figshare.8080982
title: Supplementary_Table_7_Ecoli_target_analysis.xlsx

description: Supplementary Table 7. A. Correlation analysis between Escherichia coli relative abundances and the expression levels of the differentially expressed hsa-miRNAs and hsa-sncRNAs. B. Detail of the hsa-miRNAs and associated-targets annotated to the KEGG annotations Pathogenic Escherichia coli infection and the WikiPathway annotation miRNA Regulation of DNA Damage Response. C. Gene Ontology Biological Processes enriched by STRING for the list of genes annotated to the KEGG annotations Pathogenic Escherichia coli infection or the WikiPathway annotation miRNA Regulation of DNA Damage Response that are targets of Escherichia coli-correlated hsa-miRNAs.
DOI: 10.6084/m9.figshare.8080979
title: Supplementary_Table_8_Overlap_CRC_tissue_data.xlsx

description: Supplementary Table 8. A. Summary of the overlap between list of hsa-miRNAs differentially expressed between CRC tissue and normal adjacent colonic mucosa and the hsa-RNAs belonging to the 32 features identified by the Random Forest analysis. B. Detail on the expression change and significance of the hsa-miRNAs belonging to the Random Forest signature which were significantly differentially expressed between CRC primary tissue and adjacent normal colonic mucosa. C. The overlap between the set of hsa-miRNAs belonging to the Random Forest signature which have an annotation in the miRCancer database.<br>
DOI: 10.6084/m9.figshare.8080988.v2
title: Supplementary_Table_4_Correlation_analysis.xlsx

description: Supplementary Table 4. A. Correlation analysis performed between bacteria abundances computed using metagenomic or sRNA-Seq data. Results are reported for each bacteria annotation. Only statistically significant results are reported (adjusted p-value &lt; 0.05). B. Correlation analysis performed for each sample analyzed in this study considering different taxonomic levels. C. Bacterial species characterized by the highest correlation (r &gt; 0.6) between relative abundance computed using metagenomic and sRNA-Seq data. D. The ratio between relative bacteria abundances computed using sRNA-Seq and metagenomic data.
DOI: 10.6084/m9.figshare.8080976
title: Supplementary_Table_5_Secondary_Structure.xlsx

description: Supplementary Table 5. A. Average Minimum Free Energy (MFE) computed for sRNA-Seq reads assigned to different human and bacteria annotations. Results are reported for each dataset analyzed in this study. B. Comparison between the distribution of MFEs computed for sRNA-Seq reads assigned to different human and bacteria annotations.
DOI: 10.6084/m9.figshare.8080982.v1
title: Supplementary_Table_6_Ecoli_target_analysis (1).xlsx

description: Supplementary Table 6. A. Correlation analysis between Escherichia coli relative abundances and the expression levels of the differentially expressed hsa-miRNAs and hsa-sncRNAs. B. Detail of the hsa-miRNAs and associated-targets annotated to the KEGG annotations Pathogenic Escherichia coli infection and the WikiPathway annotation miRNA Regulation of DNA Damage Response. C. Gene Ontology Biological Processes enriched by STRING for the list of genes annotated to the KEGG annotations Pathogenic Escherichia coli infection or the WikiPathway annotation miRNA Regulation of DNA Damage Response that are targets of Escherichia coli-correlated hsa-miRNAs.
DOI: 10.6084/m9.figshare.8080985.v2
title: Supplementary_Table_6_RNA_Central_and_BSRD_bsRNA_analysis.xlsx

description: Supplementary Table 6. A. List of the RNA Central v12 annotations considered in our analysis. B. List of differentially expressed bsRNAs from RNA Central v12 database. C. List of differentially expressed bsRNAs from Bacteria Small RNA Database.
DOI: 10.6084/m9.figshare.8080985.v1
title: Supplementary_Table_5_BSRD.xlsx

description: Supplementary Table 5. List of differentially expressed bsRNAs from Bacteria Small RNA Database.
DOI: 10.6084/m9.figshare.8080988.v1
title: Supplementary_Table_4_Correlation_analysis.xlsx

description: Supplementary Table 4. A. Correlation analysis performed between bacteria abundances computed using metagenomic or sRNA-Seq data. Results are reported for each bacteria annotation. Only statistically significant results are reported (adjusted p-value &lt; 0.05). B. Correlation analysis performed for each sample analyzed in this study considering different taxonomic levels. C. Bacterial species characterized by the highest correlation (r &gt; 0.6) between relative abundance computed using metagenomic and sRNA-Seq data. D. The ratio between relative bacteria abundances computed using sRNA-Seq and metagenomic data.
DOI: 10.6084/m9.figshare.8080979.v1
title: Supplementary_Table_7_Overlap_CRC_tissue_data.xlsx

description: Supplementary Table 7. A. hsa-miRNAs detected with coherent differential expression between healthy and CRC individuals in our study and in (22). B. The overlap between differentially expressed hsa-miRNAs and annotation of hsa-miRNAs annotated to CRC in the miRCancer database.
DOI: 10.6084/m9.figshare.8080964
title: Anti-phase collective synchronization with intrinsic in-phase coupling of two groups of electrochemical oscillators

description: Figure files for publication in Philosophical Transactions of Royal Society A (2019) on Anti-phase collective synchronization with intrinsic in-phase coupling <br>of two groups of electrochemical oscillators. <br>Each file contains raw current (mA) data for oscillators collected at 200 Hz for oscillators 1-4 in columns 1-4, respectively.
DOI: 10.6084/m9.figshare.8080979.v3
title: Supplementary_Table_8_Overlap_CRC_tissue_data.xlsx

description: Supplementary Table 8. A. Summary of the overlap between list of hsa-miRNAs differentially expressed between CRC tissue and normal adjacent colonic mucosa and the hsa-RNAs belonging to the 32 features identified by the Random Forest analysis. B. Detail on the expression change and significance of the hsa-miRNAs belonging to the Random Forest signature which were significantly differentially expressed between CRC primary tissue and adjacent normal colonic mucosa. C. The overlap between the set of hsa-miRNAs belonging to the Random Forest signature which have an annotation in the miRCancer database.<br>
DOI: 10.6084/m9.figshare.8080982.v2
title: Supplementary_Table_7_Ecoli_target_analysis.xlsx

description: Supplementary Table 7. A. Correlation analysis between Escherichia coli relative abundances and the expression levels of the differentially expressed hsa-miRNAs and hsa-sncRNAs. B. Detail of the hsa-miRNAs and associated-targets annotated to the KEGG annotations Pathogenic Escherichia coli infection and the WikiPathway annotation miRNA Regulation of DNA Damage Response. C. Gene Ontology Biological Processes enriched by STRING for the list of genes annotated to the KEGG annotations Pathogenic Escherichia coli infection or the WikiPathway annotation miRNA Regulation of DNA Damage Response that are targets of Escherichia coli-correlated hsa-miRNAs.
DOI: 10.6084/m9.figshare.8080976.v1
title: Supplementary_Table_8_Secondary_Structure.xlsx

description: Supplementary Table 8. A. Average Minimum Free Energy (MFE) computed for sRNA-Seq reads assigned to different human and bacteria annotations. Results are reported for each dataset analyzed in this study. B. Comparison between the distribution of MFEs computed for sRNA-Seq reads assigned to different human and bacteria annotations.
DOI: 10.6084/m9.figshare.8080979.v2
title: Supplementary_Table_8_Overlap_CRC_tissue_data.xlsx

description: Supplementary Table 8. A. Summary of the overlap between list of hsa-miRNAs differentially expressed between CRC tissue and normal adjacent colonic mucosa and the hsa-RNAs belonging to the 32 features identified by the Random Forest analysis. B. Detail on the expression change and significance of the hsa-miRNAs belonging to the Random Forest signature which were significantly differentially expressed between CRC primary tissue and adjacent normal colonic mucosa. C. The overlap between the set of hsa-miRNAs belonging to the Random Forest signature which have an annotation in the miRCancer database.<br>
DOI: 10.6084/m9.figshare.8080982.v3
title: Supplementary_Table_7_Ecoli_target_analysis.xlsx

description: Supplementary Table 7. A. Correlation analysis between Escherichia coli relative abundances and the expression levels of the differentially expressed hsa-miRNAs and hsa-sncRNAs. B. Detail of the hsa-miRNAs and associated-targets annotated to the KEGG annotations Pathogenic Escherichia coli infection and the WikiPathway annotation miRNA Regulation of DNA Damage Response. C. Gene Ontology Biological Processes enriched by STRING for the list of genes annotated to the KEGG annotations Pathogenic Escherichia coli infection or the WikiPathway annotation miRNA Regulation of DNA Damage Response that are targets of Escherichia coli-correlated hsa-miRNAs.
DOI: 10.6084/m9.figshare.8080976.v3
title: Supplementary_Table_5_Secondary_Structure.xlsx

description: Supplementary Table 5. A. Average Minimum Free Energy (MFE) computed for sRNA-Seq reads assigned to different human and bacteria annotations. Results are reported for each dataset analyzed in this study. B. Comparison between the distribution of MFEs computed for sRNA-Seq reads assigned to different human and bacteria annotations.
DOI: 10.6084/m9.figshare.8080958
title: Supplemental materials 6 from Will giant polar amphipods be first to fare badly in an oxygen-poor ocean? Testing hypotheses linking oxygen to body size

description: Original data
DOI: 10.6084/m9.figshare.8080958.v1
title: Supplemental materials 6 from Will giant polar amphipods be first to fare badly in an oxygen-poor ocean? Testing hypotheses linking oxygen to body size

description: Original data
DOI: 10.6084/m9.figshare.8080976.v2
title: Supplementary_Table_8_Secondary_Structure.xlsx

description: Supplementary Table 8. A. Average Minimum Free Energy (MFE) computed for sRNA-Seq reads assigned to different human and bacteria annotations. Results are reported for each dataset analyzed in this study. B. Comparison between the distribution of MFEs computed for sRNA-Seq reads assigned to different human and bacteria annotations.
DOI: 10.6084/m9.figshare.8080934
title: Thermal responses to handling stress in Svalbard ptarmigan

description: Data from Nord & Folkow (2019): "Ambient temperature effects on stress-induced hyperthermia in Svalbard ptarmigan".
DOI: 10.6084/m9.figshare.8080934.v1
title: Thermal responses to handling stress in Svalbard ptarmigan

description: Data from Nord & Folkow (2019): "Ambient temperature effects on stress-induced hyperthermia in Svalbard ptarmigan".
DOI: 10.6084/m9.figshare.8080910
title: Baleen oil data from Oil adsorption does not structurally or functionally alter whale baleen

description: Dataset for study
DOI: 10.6084/m9.figshare.8080910.v1
title: Baleen oil data from Oil adsorption does not structurally or functionally alter whale baleen

description: Dataset for study
DOI: 10.6084/m9.figshare.8080907
title: Data from Gopko et al. (2020, Oikos): Parasite transmission in aquatic ecosystems under temperature change: effects of host activity and elimination of parasite larvae by filter-feeders.

description: Three data files (csv) with full and abridged datasets, and one text file with the description of the variables.<br>Our research concerned the transmission of parasites in a freshwater ecosystem in relation to temperature, host behavior and the presence of predators feeding on free-living larvae of parasites in the environment. We used rainbow trout as a host, common trematode Diplostomum pseudospathaceum as a parasite and freshwater mussel Anodonta anatina as a predator eliminating cercariae (free-living stage of the trematode) from the environment. Temperatures of our study ranged from the mean summer temperature in the temperate lakes to those predicted by moderate scenarios of global warming. We found that both the presence of filter-feeders in the test tanks and temperature substantially influence the infection intensities in fish. Temperature increase led to higher infection intensities, while the presence of mussels strongly decreased parasitic loads. Importantly these two factors did not interact with each other implying that an increased filter activity of mussels is unlikely to compensate for the increased fish vulnerability to trematodes with temperature raise. Host activity before the exposure to parasites positively correlated with infection intensities, however, its correlation with temperature was rather weak.<br>After exposure to parasites, fish strongly decreased their activity. This decrease was temperature-dependent and more pronounced in bolder (more active) fish, which leads to lower variability in the activity of fish exposed to parasites compared with the safe environment. Post-exposure activity did not influence the infection intensity. In general, we showed that the elimination of trematode larvae by filter-feeders is unlikely to deter the potential effects of global warming on host-parasite interactions in temperate freshwater ecosystems.
DOI: 10.6084/m9.figshare.8080907.v1
title: Data from Gopko et al. Parasite transmission in aquatic ecosystems under climate change: joint effects of temperature, host behavior and elimination of parasite larvae by predators.

description: Three data files (csv) with full and abridged datasets, and one text file with the description of the variables.<br>Our research concerned the transmission of parasites in a freshwater ecosystem in relation to temperature, host behavior and the presence of predators feeding on free-living larvae of parasites in the environment. We used rainbow trout as a host, common trematode Diplostomum pseudospathaceum as a parasite and freshwater mussel Anodonta anatina as a predator eliminating cercariae (free-living stage of the trematode) from the environment. Temperatures of our study ranged from the mean summer temperature in the temperate lakes to those predicted by moderate scenarios of global warming. We found that both the presence of filter-feeders in the test tanks and temperature substantially influence the infection intensities in fish. Temperature increase led to higher infection intensities, while the presence of mussels strongly decreased parasitic loads. Importantly these two factors did not interact with each other implying that an increased filter activity of mussels is unlikely to compensate for the increased fish vulnerability to trematodes with temperature raise. Host activity before the exposure to parasites positively correlated with infection intensities, however, its correlation with temperature was rather weak.<br>After exposure to parasites, fish strongly decreased their activity. This decrease was temperature-dependent and more pronounced in bolder (more active) fish, which leads to lower variability in the activity of fish exposed to parasites compared with the safe environment. Post-exposure activity did not influence the infection intensity. In general, we showed that the elimination of trematode larvae by filter-feeders is unlikely to deter the potential effects of global warming on host-parasite interactions in temperate freshwater ecosystems.
DOI: 10.6084/m9.figshare.8080907.v3
title: Data from Gopko et al. (2020, Oikos): Parasite transmission in aquatic ecosystems under temperature change: effects of host activity and elimination of parasite larvae by filter-feeders.

description: Three data files (csv) with full and abridged datasets, and one text file with the description of the variables.<br>Our research concerned the transmission of parasites in a freshwater ecosystem in relation to temperature, host behavior and the presence of predators feeding on free-living larvae of parasites in the environment. We used rainbow trout as a host, common trematode Diplostomum pseudospathaceum as a parasite and freshwater mussel Anodonta anatina as a predator eliminating cercariae (free-living stage of the trematode) from the environment. Temperatures of our study ranged from the mean summer temperature in the temperate lakes to those predicted by moderate scenarios of global warming. We found that both the presence of filter-feeders in the test tanks and temperature substantially influence the infection intensities in fish. Temperature increase led to higher infection intensities, while the presence of mussels strongly decreased parasitic loads. Importantly these two factors did not interact with each other implying that an increased filter activity of mussels is unlikely to compensate for the increased fish vulnerability to trematodes with temperature raise. Host activity before the exposure to parasites positively correlated with infection intensities, however, its correlation with temperature was rather weak.<br>After exposure to parasites, fish strongly decreased their activity. This decrease was temperature-dependent and more pronounced in bolder (more active) fish, which leads to lower variability in the activity of fish exposed to parasites compared with the safe environment. Post-exposure activity did not influence the infection intensity. In general, we showed that the elimination of trematode larvae by filter-feeders is unlikely to deter the potential effects of global warming on host-parasite interactions in temperate freshwater ecosystems.