cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14429428.v1
title: Additional file 3 of Chronic temperature stress inhibits reproduction and disrupts endocytosis via chaperone titration in Caenorhabditis elegans

description: Additional file 3: Gene lists. Worksheet with separate tabs for: FigS1, all differentially expressed genes shared between Acute (1-h), Mid (24-h), and Chronic (48-h) 28 °C HS; FigS2, all differentially expressed genes shared between Chronic (48-h) 28 °C HS (this work) and Classical Acute HSR genes (33 °C HS for 30 min, from Brunquell et al. [35]); FigS3, GO analysis results including all significantly enriched GO terms and the up- and down-regulated genes from each term for each 28 °C HS timepoint (listed by WormBase ID).
DOI: 10.6084/m9.figshare.14429492
title: Additional file 3 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 3 Putative proteases in E. onukii. This file lists information of predicted proteases identified from salivary glands and guts of E. onukii
DOI: 10.6084/m9.figshare.14429495
title: Additional file 4 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 4 Protein sequence of putative proteases in E. onukii and N. cincticeps. This file lists protein sequences of putative proteases in E. onukii and N. cincticeps
DOI: 10.6084/m9.figshare.14429495.v1
title: Additional file 4 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 4 Protein sequence of putative proteases in E. onukii and N. cincticeps. This file lists protein sequences of putative proteases in E. onukii and N. cincticeps
DOI: 10.6084/m9.figshare.14429498.v1
title: Additional file 5 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 5 The top 100 abundant proteins in the SG or gut of E. onukii. This file lists information on the top 100 abundant proteins in the SG or gut of E. onukii
DOI: 10.6084/m9.figshare.14429501.v1
title: Additional file 6 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 6 Information on insect protease proteins included in the analysis. This file lists information on protease proteins included in the analysis from other insect species besides E. onukii
DOI: 10.6084/m9.figshare.14429498
title: Additional file 5 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 5 The top 100 abundant proteins in the SG or gut of E. onukii. This file lists information on the top 100 abundant proteins in the SG or gut of E. onukii
DOI: 10.6084/m9.figshare.14429501
title: Additional file 6 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 6 Information on insect protease proteins included in the analysis. This file lists information on protease proteins included in the analysis from other insect species besides E. onukii
DOI: 10.6084/m9.figshare.14429492.v1
title: Additional file 3 of Transcriptomic and proteomic analysis of putative digestive proteases in the salivary gland and gut of Empoasca (Matsumurasca) onukii Matsuda

description: Additional file 3 Putative proteases in E. onukii. This file lists information of predicted proteases identified from salivary glands and guts of E. onukii
DOI: 10.6084/m9.figshare.14429503
title: Additional file 1 of RNA sequencing describes both population structure and plasticity-selection dynamics in a non-model fish

description: Additional file 1: Supplementary Table S1. Differential exon usage (DEU) at 168-h between the Central Valley and San Pablo populations of Sacramento splittail (Pogonichthys macrolepidotus). Only the 75 of 189 genes that showed significant DEU in this comparison and had annotations are included here, sorted by ascending false discovery rate-adjusted p-values (q value). Supplementary Table S2. Differential exon usage (DEU) between hours 168 and 0 for the San Pablo San Pablo population of Sacramento splittail (Pogonichthys macrolepidotus). 630 genes showed significant DEU in this comparison, but only the 199 with annotations are included here, sorted by ascending false discovery rate-adjusted p-values (q value). Supplementary Table S3. Differential exon usage (DEU) between hours 168 and 72 for the San Pablo San Pablo population of Sacramento splittail (Pogonichthys macrolepidotus). 1319 genes with annotations are included here, sorted by ascending false discovery rate-adjusted p-values (q value).
DOI: 10.6084/m9.figshare.14429503.v1
title: Additional file 1 of RNA sequencing describes both population structure and plasticity-selection dynamics in a non-model fish

description: Additional file 1: Supplementary Table S1. Differential exon usage (DEU) at 168-h between the Central Valley and San Pablo populations of Sacramento splittail (Pogonichthys macrolepidotus). Only the 75 of 189 genes that showed significant DEU in this comparison and had annotations are included here, sorted by ascending false discovery rate-adjusted p-values (q value). Supplementary Table S2. Differential exon usage (DEU) between hours 168 and 0 for the San Pablo San Pablo population of Sacramento splittail (Pogonichthys macrolepidotus). 630 genes showed significant DEU in this comparison, but only the 199 with annotations are included here, sorted by ascending false discovery rate-adjusted p-values (q value). Supplementary Table S3. Differential exon usage (DEU) between hours 168 and 72 for the San Pablo San Pablo population of Sacramento splittail (Pogonichthys macrolepidotus). 1319 genes with annotations are included here, sorted by ascending false discovery rate-adjusted p-values (q value).
DOI: 10.6084/m9.figshare.14429512
title: Additional file 2 of Are people aware of the link between alcohol and different types of Cancer?

description: Additional file 2: Supplementary Table 2. Factors Associated with Knowledge of Alcohol-Cancer Risk by Cancer Type (Straight Liners Excluded). A table formatting the same way as Table 3 in the manuscript, but excluding straight liners. Mean differences and confidence intervals are included.
DOI: 10.6084/m9.figshare.14429512.v1
title: Additional file 2 of Are people aware of the link between alcohol and different types of Cancer?

description: Additional file 2: Supplementary Table 2. Factors Associated with Knowledge of Alcohol-Cancer Risk by Cancer Type (Straight Liners Excluded). A table formatting the same way as Table 3 in the manuscript, but excluding straight liners. Mean differences and confidence intervals are included.
DOI: 10.6084/m9.figshare.14429273
title: Spreadsheet for entering and processing paleoclimate data and graphs, with the results of the model.

description: Esses dados e gráficos foram gerados a partir do arquivo CSV em https://www.ncdc.noaa.gov/paleo/study/29712.para a construção do modelo ARIMA (1,0,1) para as séries temporais paleoclimatológicas e previsão da temperatura global para mediana e incerteza.
DOI: 10.5517/ccdc.csd.cc26qvsl
title: CCDC 2047760: Experimental Crystal Structure Determination

description: Related Article: Michael S. Gruhne, Marcus Lommel, Maximilian H. H. Wurzenberger, Thomas M. Klapötke, Jörg Stierstorfer|2021|Inorg.Chem.|60|4816|doi:10.1021/acs.inorgchem.0c03752
DOI: 10.5517/ccdc.csd.cc26qvtm
title: CCDC 2047761: Experimental Crystal Structure Determination

description: Related Article: Michael S. Gruhne, Marcus Lommel, Maximilian H. H. Wurzenberger, Thomas M. Klapötke, Jörg Stierstorfer|2021|Inorg.Chem.|60|4816|doi:10.1021/acs.inorgchem.0c03752
DOI: 10.5517/ccdc.csd.cc26thvd
title: CCDC 2050304: Experimental Crystal Structure Determination

description: Related Article: Ingo Koehne, Miriam Gerstel, Clemens Bruhn, Johann P. Reithmaier, Mohamed Benyoucef, Rudolf Pietschnig|2021|Inorg.Chem.|60|5297|doi:10.1021/acs.inorgchem.1c00266
DOI: 10.5517/ccdc.csd.cc26thwf
title: CCDC 2050305: Experimental Crystal Structure Determination

description: Related Article: Ingo Koehne, Miriam Gerstel, Clemens Bruhn, Johann P. Reithmaier, Mohamed Benyoucef, Rudolf Pietschnig|2021|Inorg.Chem.|60|5297|doi:10.1021/acs.inorgchem.1c00266
DOI: 10.5517/ccdc.csd.cc26thyh
title: CCDC 2050307: Experimental Crystal Structure Determination

description: Related Article: Ingo Koehne, Miriam Gerstel, Clemens Bruhn, Johann P. Reithmaier, Mohamed Benyoucef, Rudolf Pietschnig|2021|Inorg.Chem.|60|5297|doi:10.1021/acs.inorgchem.1c00266
DOI: 10.5517/ccdc.csd.cc26w1sy
title: CCDC 2051790: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Mathew D. Anker, Martyn P. Coles|2021|Inorg.Chem.|60|4772|doi:10.1021/acs.inorgchem.0c03735
DOI: 10.5517/ccdc.csd.cc26w1v0
title: CCDC 2051792: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Mathew D. Anker, Martyn P. Coles|2021|Inorg.Chem.|60|4772|doi:10.1021/acs.inorgchem.0c03735
DOI: 10.5517/ccdc.csd.cc26w1w1
title: CCDC 2051793: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Mathew D. Anker, Martyn P. Coles|2021|Inorg.Chem.|60|4772|doi:10.1021/acs.inorgchem.0c03735
DOI: 10.5517/ccdc.csd.cc26x28h
title: CCDC 2052766: Experimental Crystal Structure Determination

description: Related Article: Yimin Jia, Yuan Yuan, Jinfeng Huang, Zhong-Xing Jiang, Zhigang Yang|2021|Org.Lett.|23|2670|doi:10.1021/acs.orglett.1c00577
DOI: 10.5517/ccdc.csd.cc26xvdd
title: CCDC 2053514: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvff
title: CCDC 2053515: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvgg
title: CCDC 2053516: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvhh
title: CCDC 2053517: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvjj
title: CCDC 2053518: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvkk
title: CCDC 2053519: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvll
title: CCDC 2053520: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvmm
title: CCDC 2053521: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvnn
title: CCDC 2053522: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvpp
title: CCDC 2053523: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26xvqq
title: CCDC 2053524: Experimental Crystal Structure Determination

description: Related Article: Lyudmyla V. Tsymbal, Irina L. Andriichuk, Sergiu Shova, Damian Trzybiński, Krzysztof Woźniak, Vladimir B. Arion, Yaroslaw D. Lampeka|2021|Cryst.Growth Des.|21|2355|doi:10.1021/acs.cgd.1c00011
DOI: 10.5517/ccdc.csd.cc26yzgm
title: CCDC 2054601: Experimental Crystal Structure Determination

description: Related Article: Yimin Jia, Yuan Yuan, Jinfeng Huang, Zhong-Xing Jiang, Zhigang Yang|2021|Org.Lett.|23|2670|doi:10.1021/acs.orglett.1c00577
DOI: 10.6084/m9.figshare.11999592
title: Poor adherence to beta-blockers is associated with increased long-term mortality even beyond the first year after an acute coronary syndrome event

description: <b>Background</b>: Acute coronary syndrome (ACS) patients are widely treated with long-term beta-blocker therapy after cardiac event. Especially for low-risk patients, the benefits of beta-blockers on survival and the optimal therapy duration remain unclear. We investigated the effect of adherence to beta-blockers on long-term survival of ACS patients. <b>Methods and results:</b> A total of 1855 consecutive ACS patients who underwent angiography and survived 30 days after were followed for a median of 8.6 years. During follow-up, 30.1% (<i>n</i> = 558) of patients died. Adherence was assessed as yearly periods covered by medication purchases and investigated as a dynamic time-dependent variable in Cox proportional hazards models. In a univariable model, non-adherence to beta-blockers was associated with higher all-cause mortality (Hazard ratio [HR] 2.99, 95% confidence interval [CI] 2.50−3.57; <i>p</i> p p p = .004). <b>Conclusion:</b> Poor adherence to beta-blockers is associated with increased long-term mortality among ACS patients. Even low-risk patients seem to benefit from long-term beta-blocker therapy.Key messagesAdherence to secondary prevention medications diminishes drastically over the years after an ACS event.Non-adherence to β-blockers is associated with increased long-term mortality of ACS patients, and the effect on survival extends beyond the first year after an ACS event.Our follow-up was exceptionally lengthy with median follow-up period of 8.6 years. Adherence to secondary prevention medications diminishes drastically over the years after an ACS event. Non-adherence to β-blockers is associated with increased long-term mortality of ACS patients, and the effect on survival extends beyond the first year after an ACS event. Our follow-up was exceptionally lengthy with median follow-up period of 8.6 years.
DOI: 10.6084/m9.figshare.11999592.v1
title: Poor adherence to beta-blockers is associated with increased long-term mortality even beyond the first year after an acute coronary syndrome event

description: <b>Background</b>: Acute coronary syndrome (ACS) patients are widely treated with long-term beta-blocker therapy after cardiac event. Especially for low-risk patients, the benefits of beta-blockers on survival and the optimal therapy duration remain unclear. We investigated the effect of adherence to beta-blockers on long-term survival of ACS patients. <b>Methods and results:</b> A total of 1855 consecutive ACS patients who underwent angiography and survived 30 days after were followed for a median of 8.6 years. During follow-up, 30.1% (<i>n</i> = 558) of patients died. Adherence was assessed as yearly periods covered by medication purchases and investigated as a dynamic time-dependent variable in Cox proportional hazards models. In a univariable model, non-adherence to beta-blockers was associated with higher all-cause mortality (Hazard ratio [HR] 2.99, 95% confidence interval [CI] 2.50−3.57; <i>p</i> p p p = .004). <b>Conclusion:</b> Poor adherence to beta-blockers is associated with increased long-term mortality among ACS patients. Even low-risk patients seem to benefit from long-term beta-blocker therapy.Key messagesAdherence to secondary prevention medications diminishes drastically over the years after an ACS event.Non-adherence to β-blockers is associated with increased long-term mortality of ACS patients, and the effect on survival extends beyond the first year after an ACS event.Our follow-up was exceptionally lengthy with median follow-up period of 8.6 years. Adherence to secondary prevention medications diminishes drastically over the years after an ACS event. Non-adherence to β-blockers is associated with increased long-term mortality of ACS patients, and the effect on survival extends beyond the first year after an ACS event. Our follow-up was exceptionally lengthy with median follow-up period of 8.6 years.
DOI: 10.6084/m9.figshare.14429645
title: Smith et al. (2020) Stormwater runoff and tidal flooding transform dissolved organic matter composition and increase bioavailability in urban coastal ecosystems

description: AbstractCoastal drainages contain multiple sources of dissolved organic matter (DOM) that influence OM transformation and fate along inland-to-marine gradients. Anthropogenic activities have altered DOM composition in urban drainages, thereby influencing in-stream breakdown rates, primary productivity, and downstream export. Yet, it is uncertain how hydrologic conditions (i.e., rainfall, tides, shallow groundwater inputs) interact with different sources of DOM to regulate the transformation and export of DOM through urban coastal drainages. We characterized how seasonal changes in hydrologic conditions influence DOM composition and bioavailability in tidally-influenced drainages in Miami, FL, USA. We estimated the quality and bioavailability of DOM using compositional proxies based on fluorescence spectroscopy, including parallel factor analysis, and measured dissolved organic carbon (DOC) degradation during laboratory incubations containing a local bacterial community. Interactions between stormwater runoff and tidal amplitude increased bioavailability of DOM and was positively correlated with predominantly humic-like components in the wet season and protein-like components in the dry season. Further, increases in tryptophan fluorescence intensity corresponded with elevated concentrations of <i>Escherichia coli</i> and enterococci – likely from waste-impacted groundwater – and contributed substantially to overall DOM bioavailability. Our results provide new evidence of an urban priming effect in which labile autochthonous DOM from anthropogenic sources facilitates microbial degradation of DOM that is driven by seasonal differences in stormwater runoff and tides. As hydrologic conditions in near-shore aquatic ecosystems shift with watershed urbanization and climate-driven changes in sea level rise, increases in autochthonous sources of bioavailable DOM may impact ecosystem metabolism and affect the quality of DOM exported downstream.
DOI: 10.6084/m9.figshare.14429645.v1
title: Smith et al. (2020) Stormwater runoff and tidal flooding transform dissolved organic matter composition and increase bioavailability in urban coastal ecosystems

description: AbstractCoastal drainages contain multiple sources of dissolved organic matter (DOM) that influence OM transformation and fate along inland-to-marine gradients. Anthropogenic activities have altered DOM composition in urban drainages, thereby influencing in-stream breakdown rates, primary productivity, and downstream export. Yet, it is uncertain how hydrologic conditions (i.e., rainfall, tides, shallow groundwater inputs) interact with different sources of DOM to regulate the transformation and export of DOM through urban coastal drainages. We characterized how seasonal changes in hydrologic conditions influence DOM composition and bioavailability in tidally-influenced drainages in Miami, FL, USA. We estimated the quality and bioavailability of DOM using compositional proxies based on fluorescence spectroscopy, including parallel factor analysis, and measured dissolved organic carbon (DOC) degradation during laboratory incubations containing a local bacterial community. Interactions between stormwater runoff and tidal amplitude increased bioavailability of DOM and was positively correlated with predominantly humic-like components in the wet season and protein-like components in the dry season. Further, increases in tryptophan fluorescence intensity corresponded with elevated concentrations of <i>Escherichia coli</i> and enterococci – likely from waste-impacted groundwater – and contributed substantially to overall DOM bioavailability. Our results provide new evidence of an urban priming effect in which labile autochthonous DOM from anthropogenic sources facilitates microbial degradation of DOM that is driven by seasonal differences in stormwater runoff and tides. As hydrologic conditions in near-shore aquatic ecosystems shift with watershed urbanization and climate-driven changes in sea level rise, increases in autochthonous sources of bioavailable DOM may impact ecosystem metabolism and affect the quality of DOM exported downstream.
DOI: 10.6084/m9.figshare.14354707
title: CCA_1Dvs3D.xlsx from Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and <i>in vitro</i> measurements

description: It contains all the 1-D and 3-D model data for the CCA case.
DOI: 10.6084/m9.figshare.14354710
title: Ao_Bifurcaton_1Dvs3D.xlsx from Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and <i>in vitro</i> measurements

description: contains all the 1-D and 3-D model data for the aortic bifurcation case.
DOI: 10.6084/m9.figshare.14354704
title: Abdominal_Ao_1DvsInVitro.xlsx from Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and <i>in vitro</i> measurements

description: It contains all the 1-D model and in vitro data for the abdominal aorta case.
DOI: 10.6084/m9.figshare.14354704.v1
title: Abdominal_Ao_1DvsInVitro.xlsx from Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and <i>in vitro</i> measurements

description: It contains all the 1-D model and in vitro data for the abdominal aorta case.
DOI: 10.6084/m9.figshare.14354707.v1
title: CCA_1Dvs3D.xlsx from Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and <i>in vitro</i> measurements

description: It contains all the 1-D and 3-D model data for the CCA case.
DOI: 10.6084/m9.figshare.14354710.v1
title: Ao_Bifurcaton_1Dvs3D.xlsx from Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and <i>in vitro</i> measurements

description: contains all the 1-D and 3-D model data for the aortic bifurcation case.