cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/72uk-ssp9
title: Measurement of PCB_137 at Alert

description: Measurement of PCB_137 at Alert
DOI: 10.6084/m9.figshare.19374847.v1
title: Supplementary Information - Collated Entomological Data from A novel statistical framework for exploring the population dynamics and seasonality of mosquito populations

description: Understanding the temporal dynamics of mosquito populations underlying vector-borne disease transmission is key to optimizing control strategies. Many questions remain surrounding the drivers of these dynamics and how they vary between species–questions rarely answerable from individual entomological studies (that typically focus on a single location or species). We develop a novel statistical framework enabling identification and classification of time series with similar temporal properties; and use this framework to systematically explore variation in population dynamics and seasonality in <i>Anopheline</i> mosquito time-series catch data spanning seven species, 40 years and 117 locations across India. Our analyses reveal pronounced variation in dynamics across locations and between species in the extent of seasonality and timing of seasonal peaks. However, we show that these diverse dynamics can be clustered into four ‘dynamical archetypes’, each characterized by distinct temporal properties and associated with a largely unique set of environmental factors. Our results highlight that a range of environmental factors including rainfall, temperature, proximity to static water bodies and patterns of land use (particularly urbanicity) shape the dynamics and seasonality of mosquito populations; and provide a generically applicable framework to better identify and understand patterns of seasonal variation in vectors relevant to public health.
DOI: 10.48597/7b5f-s85u
title: Measurement of PCB_95 at Alert

description: Measurement of PCB_95 at Alert
DOI: 10.48597/7dbf-3zf6
title: Measurement of PCB_153 at Alert

description: Measurement of PCB_153 at Alert
DOI: 10.6084/m9.figshare.3121921
title: Compartmentalization of functions and predicted miRNA regulation among contiguous regions of the Nematode Intestine

description: The intestine of parasitic nematodes has proven an important target for therapies aimed at prevention and treatment of diseases caused by these pathogens in humans, animals and plants. We have developed a unique research model with the intestine of <i>Ascaris suum</i>, the large round worm of swine and humans, that will enhance biological research on this tissue. To expand utility of this model, we quantitatively compared expression of 15,382 coding RNAs and 277 noncoding, micro RNAs (miRNAs) among three contiguous regions of the adult <i>A. suum</i> intestine. Differentially expressed transcripts were identified among regions, with the largest number expressed at significantly higher levels in the anterior region, identifying this region as the most functionally unique compared to middle and posterior regions. We further identified 64 exon splice variants (from 47 genes) that are differentially expressed among these regions. A total of 2,063 intestinal mRNA transcripts were predicted to be targeted by intestinal miRNA, and negative correlation coefficients for miRNA:mRNA abundances predicted 22 likely influential miRNAs and 503 likely associated miRNA:mRNA pairs. <i>A. suum</i> intestinal miRNAs were identified that are conserved with intestinal miRNAs from <i>C. elegans</i> (10 mature sequences and 13 seed sequences conserved), and prospective intestinal miRNAs from the murine gastrointestinal nematode, <i>Heligmosomoides polygyrus</i> (5 mature and 11 seeds). Most of the conserved intestinal miRNAs were also high abundance miRNAs. The data provide the most comprehensive compilation of constitutively and differentially expressed genes along the length of the intestine for any nematode species. The information will guide prospective development of many hypotheses on nematode intestinal functions encoded by mRNAs, miRNAs and interactions between these RNA populations.
DOI: 10.48597/7nwk-mgxd
title: Measurement of PCB_22 at Alert

description: Measurement of PCB_22 at Alert
DOI: 10.48597/7phr-eac8
title: Measurement of Trans_NO at Alert

description: Measurement of Trans_NO at Alert
DOI: 10.48597/837m-669y
title: Measurement of PCB_97 at Alert

description: Measurement of PCB_97 at Alert
DOI: 10.48597/8pv8-q2w5
title: Measurement of Benzo_e_pyrene at Alert

description: Measurement of Benzo_e_pyrene at Alert
DOI: 10.48597/96zs-5n5v
title: Measurement of 1-2-3-4-tetrachlorobenzene at Alert

description: Measurement of 1-2-3-4-tetrachlorobenzene at Alert
DOI: 10.48597/976z-u7tu
title: Measurement of Benzo_ghi_perylene at Alert

description: Measurement of Benzo_ghi_perylene at Alert
DOI: 10.48597/9dvm-2p93
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/9xsh-7he6
title: Measurement of HCB at Alert

description: Measurement of HCB at Alert
DOI: 10.48597/9zwu-7ugg
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/a2f5-yhan
title: Measurement of PCB_183 at Alert

description: Measurement of PCB_183 at Alert
DOI: 10.48597/a9bt-v2t7
title: Measurement of PCB_3 at Alert

description: Measurement of PCB_3 at Alert
DOI: 10.48597/awgn-nqb5
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/azd6-ptyu
title: Measurement of Benzo_a_pyrene at Alert

description: Measurement of Benzo_a_pyrene at Alert
DOI: 10.48597/brpt-vwyt
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/bztt-ctfd
title: Measurement of PCB_196+203 at Alert

description: Measurement of PCB_196+203 at Alert
DOI: 10.48597/chd2-vnc6
title: Measurement of PCB_6 at Alert

description: Measurement of PCB_6 at Alert
DOI: 10.48597/cuch-sdw8
title: Measurement of PCB_7 at Alert

description: Measurement of PCB_7 at Alert
DOI: 10.48597/dapu-tjq8
title: Measurement of PCB_66 at Alert

description: Measurement of PCB_66 at Alert
DOI: 10.48597/dr7y-b7bj
title: Measurement of PCB_177 at Alert

description: Measurement of PCB_177 at Alert
DOI: 10.48597/fgf8-xjt2
title: Measurement of PCB_198 at Alert

description: Measurement of PCB_198 at Alert
DOI: 10.48597/fm3q-skwh
title: Measurement of Octachlorostyrene at Alert

description: Measurement of Octachlorostyrene at Alert
DOI: 10.48597/ftjf-tcgr
title: Measurement of Pp_DDE at Alert

description: Measurement of Pp_DDE at Alert
DOI: 10.48597/g6h8-2npe
title: Measurement of PCB_146 at Alert

description: Measurement of PCB_146 at Alert
DOI: 10.48597/gdch-zg3p
title: Measurement of PCB_141 at Alert

description: Measurement of PCB_141 at Alert
DOI: 10.48597/guzr-jwdg
title: Measurement of PCB_174 at Alert

description: Measurement of PCB_174 at Alert
DOI: 10.6084/m9.figshare.9937679
title: Additional file 1: of Nitrogen application and different water regimes at booting stage improved yield and 2-acetyl-1-pyrroline (2AP) formation in fragrant rice

description: Table S1. PCA_loadings (XLSX 19 kb)
DOI: 10.48597/gzwa-mmu6
title: Measurement of PCB_206 at Alert

description: Measurement of PCB_206 at Alert
DOI: 10.48597/hegk-mnhp
title: Measurement of 1-2-4-5-tetrachlorobenzene at Alert

description: Measurement of 1-2-4-5-tetrachlorobenzene at Alert
DOI: 10.6084/m9.figshare.9937679.v1
title: Additional file 1: of Nitrogen application and different water regimes at booting stage improved yield and 2-acetyl-1-pyrroline (2AP) formation in fragrant rice

description: Table S1. PCA_loadings (XLSX 19 kb)
DOI: 10.48597/hzuu-jhp9
title: Measurement of Gamma_HCH at Alert

description: Measurement of Gamma_HCH at Alert
DOI: 10.48597/jbd8-62q6
title: Measurement of Trans_CD at Alert

description: Measurement of Trans_CD at Alert
DOI: 10.48597/jfj5-cxh5
title: Measurement of PCB_40 at Alert

description: Measurement of PCB_40 at Alert
DOI: 10.48597/jgtx-vubx
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/jqwk-9jtn
title: Measurement of PCB_180 at Alert

description: Measurement of PCB_180 at Alert
DOI: 10.48597/k433-92wz
title: Measurement of Cis_CD at Alert

description: Measurement of Cis_CD at Alert
DOI: 10.48597/kczd-z593
title: Measurement of Op_DDT at Alert

description: Measurement of Op_DDT at Alert
DOI: 10.6084/m9.figshare.9937682
title: Additional file 2: of Nitrogen application and different water regimes at booting stage improved yield and 2-acetyl-1-pyrroline (2AP) formation in fragrant rice

description: Table S2. PLS-DA_loadings (XLSX 19 kb)
DOI: 10.48597/kepv-rn7m
title: Measurement of Tetrachloroveratrole at Alert

description: Measurement of Tetrachloroveratrole at Alert
DOI: 10.48597/kqdf-hhcg
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/kqx2-fxdz
title: Measurement of Endrin at Alert

description: Measurement of Endrin at Alert
DOI: 10.6084/m9.figshare.9937682.v1
title: Additional file 2: of Nitrogen application and different water regimes at booting stage improved yield and 2-acetyl-1-pyrroline (2AP) formation in fragrant rice

description: Table S2. PLS-DA_loadings (XLSX 19 kb)
DOI: 10.48597/kyqg-bn5n
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/kz7s-nhjf
title: Measurement of Op_DDE at Alert

description: Measurement of Op_DDE at Alert
DOI: 10.48597/mc84-88c3
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/mcph-mnkn
title: Measurement of Alpha_HCH at Alert

description: Measurement of Alpha_HCH at Alert
DOI: 10.48597/mp9j-x7nb
title: Measurement of PCB_199 at Alert

description: Measurement of PCB_199 at Alert
DOI: 10.48597/mzf3-avd6
title: Measurement of PCB_99 at Alert

description: Measurement of PCB_99 at Alert
DOI: 10.48597/nacw-6m39
title: Measurement of Inorganics in precipitation at Reykjavik

description: Measurement of Inorganics in precipitation at Reykjavik
DOI: 10.48597/nf47-fgks
title: Measurement of PCB_85 at Alert

description: Measurement of PCB_85 at Alert
DOI: 10.48597/phnb-v2fv
title: Measurement of PCB_158 at Alert

description: Measurement of PCB_158 at Alert
DOI: 10.48597/pynw-zkdp
title: Measurement of PCB_205 at Alert

description: Measurement of PCB_205 at Alert
DOI: 10.6084/m9.figshare.13607706
title: A methodological pipeline to generate an epigenetic marker of prenatal exposure to air pollution indicators

description: A barrier in the children’s environmental health field has been the lack of early-warning systems to identify risks of childhood illness and developmental disorders. We aimed to develop a methodology to identify an accessible biomarker measured in a small amount of blood to distinguish newborns at elevated risk from a toxic prenatal exposure, using air pollutants as a case study. Because air pollutants are associated with altered DNA methylation, we developed a pipeline using DNA methylation signatures measured in umbilical cord blood, which could be used as predictors of prenatal exposure. We used air pollution indicators, including modelled trimester-specific and pregnancy average NO<sub>2</sub> and PM<sub>2.5</sub>, and DNA methylation signatures from Illumina arrays measured in two New York City-based longitudinal birth cohorts from the Columbia Centre for Children’s Environmental Health. We developed a screening plus three-part pipeline that incorporates selection, testing, and validation to identify whether DNA methylation can be used to predict exposure to prenatal air pollution indicators, NO<sub>2</sub> and PM<sub>2.5</sub>. Applying this pipeline, we found that cord blood DNA methylation could be used to predict high vs. low average pregnancy NO<sub>2</sub> (AUC = 0.60, 95% CI: 0.52–0.68, with validation AUC = 0.60). Similar results were found for high vs. low third trimester NO<sub>2</sub>. In this proof of concept study using air pollutants as an example, we provide an approach (with a generalizable analytic pipeline) that can be used for prediction of prenatal exposure to contaminants. This approach has potential to identify children at risk of developmental disorders and illness resulting from prenatal exposure.
DOI: 10.48597/pzpm-8ceh
title: Measurement of PCB_179 at Alert

description: Measurement of PCB_179 at Alert
DOI: 10.48597/q7qh-e33u
title: Measurement of Op_DDD at Alert

description: Measurement of Op_DDD at Alert
DOI: 10.6084/m9.figshare.13607706.v1
title: A methodological pipeline to generate an epigenetic marker of prenatal exposure to air pollution indicators

description: A barrier in the children’s environmental health field has been the lack of early-warning systems to identify risks of childhood illness and developmental disorders. We aimed to develop a methodology to identify an accessible biomarker measured in a small amount of blood to distinguish newborns at elevated risk from a toxic prenatal exposure, using air pollutants as a case study. Because air pollutants are associated with altered DNA methylation, we developed a pipeline using DNA methylation signatures measured in umbilical cord blood, which could be used as predictors of prenatal exposure. We used air pollution indicators, including modelled trimester-specific and pregnancy average NO<sub>2</sub> and PM<sub>2.5</sub>, and DNA methylation signatures from Illumina arrays measured in two New York City-based longitudinal birth cohorts from the Columbia Centre for Children’s Environmental Health. We developed a screening plus three-part pipeline that incorporates selection, testing, and validation to identify whether DNA methylation can be used to predict exposure to prenatal air pollution indicators, NO<sub>2</sub> and PM<sub>2.5</sub>. Applying this pipeline, we found that cord blood DNA methylation could be used to predict high vs. low average pregnancy NO<sub>2</sub> (AUC = 0.60, 95% CI: 0.52–0.68, with validation AUC = 0.60). Similar results were found for high vs. low third trimester NO<sub>2</sub>. In this proof of concept study using air pollutants as an example, we provide an approach (with a generalizable analytic pipeline) that can be used for prediction of prenatal exposure to contaminants. This approach has potential to identify children at risk of developmental disorders and illness resulting from prenatal exposure.
DOI: 10.48597/qb4y-ryqn
title: Measurement of PCB_207 at Alert

description: Measurement of PCB_207 at Alert
DOI: 10.48597/qbgs-ervm
title: Measurement of PCB_83 at Alert

description: Measurement of PCB_83 at Alert
DOI: 10.6084/m9.figshare.6791972
title: Helicobacter bilis induction of tertiary lymphoid tissue in the lower bowel of gnotobiotic Swiss Webster mice is promoted by Segmented Filamentous Bacteria

description: <b><i>Helicobacter
bilis </i></b><b>induction of tertiary
lymphoid tissue in the lower bowel of gnotobiotic Swiss Webster mice is
promoted by Segmented Filamentous
Bacteria</b><b></b>
DOI: 10.6084/m9.figshare.15180592
title: Circulating chemerin levels in women with polycystic ovary syndrome: a meta-analysis

description: The present meta-analysis was conducted to investigate the association between circulating chemerin levels and polycystic ovary syndrome (PCOS) in women. Relevant studies published up to May 2020 were searched from PubMed, Ovid, the Cochrane Library, and Clinical Trial Database. A random effects model was used to measure the strength of association between PCOS and chemerin by using the standardized mean difference (SMD) and 95% confidence interval (CI). All data were analyzed using Stata 12.0 (version 12; Stata-Corp, College Station, TX). The final meta-analysis included eight studies with 15 results including a total of 897 participants (524 patients with PCOS and 373 controls). The circulating chemerin levels were higher in patients with PCOS (random effects SMD = 1.07; 95% CI: 0.55–1.59; <i>p</i> &lt; .001) than in controls. However, considerable heterogeneity across studies was not eliminated in subgroup analyses. The meta-regression analysis further suggested that region is the main source of heterogeneity (<i>p</i> = .001). Our meta-analysis indicated that women with PCOS have significantly higher circulating chemerin levels than in healthy women, indicating that chemerin may be involved in the pathogenesis of PCOS.
DOI: 10.6084/m9.figshare.3121978
title: A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data

description: Interval-censored failure time data arise in a number of fields and many authors have discussed various issues related to their analysis. However, most of the existing methods are for univariate data and there exists only limited research on bivariate data, especially on regression analysis of bivariate interval-censored data. We present a class of semiparametric transformation models for the problem and for inference, a sieve maximum likelihood approach is developed. The model provides a great flexibility, in particular including the commonly used proportional hazards model as a special case, and in the approach, Bernstein polynomials are employed. The strong consistency and asymptotic normality of the resulting estimators of regression parameters are established and furthermore, the estimators are shown to be asymptotically efficient. Extensive simulation studies are conducted and indicate that the proposed method works well for practical situations. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.3121978.v1
title: A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data

description: Interval-censored failure time data arise in a number of fields and many authors have discussed various issues related to their analysis. However, most of the existing methods are for univariate data and there exists only limited research on bivariate data, especially on regression analysis of bivariate interval-censored data. We present a class of semiparametric transformation models for the problem and for inference, a sieve maximum likelihood approach is developed. The model provides a great flexibility, in particular including the commonly used proportional hazards model as a special case, and in the approach, Bernstein polynomials are employed. The strong consistency and asymptotic normality of the resulting estimators of regression parameters are established and furthermore, the estimators are shown to be asymptotically efficient. Extensive simulation studies are conducted and indicate that the proposed method works well for practical situations. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24093514
title: Betacoronaviruses SARS-CoV-2 and HCoV-OC43 infections in IGROV-1 cell line require aryl hydrocarbon receptor

description: The emergence of novel betacoronaviruses has posed significant financial and human health burdens, necessitating the development of appropriate tools to combat future outbreaks. In this study, we have characterized a human cell line, IGROV-1, as a robust tool to detect, propagate, and titrate betacoronaviruses SARS-CoV-2 and HCoV-OC43. IGROV-1 cells can be used for serological assays, antiviral drug testing, and isolating SARS-CoV-2 variants from patient samples. Using time-course transcriptomics, we confirmed that IGROV-1 cells exhibit a robust innate immune response upon SARS-CoV-2 infection, recapitulating the response previously observed in primary human nasal epithelial cells. We performed genome-wide CRISPR knockout genetic screens in IGROV-1 cells and identified Aryl hydrocarbon receptor (AHR) as a critical host dependency factor for both SARS-CoV-2 and HCoV-OC43. Using DiMNF, a small molecule inhibitor of AHR, we observed that the drug selectively inhibits HCoV-OC43 infection but not SARS-CoV-2. Transcriptomic analysis in primary normal human bronchial epithelial cells revealed that DiMNF blocks HCoV-OC43 infection via basal activation of innate immune responses. Our findings highlight the potential of IGROV-1 cells as a valuable diagnostic and research tool to combat betacoronavirus diseases.
DOI: 10.6084/m9.figshare.24093514.v2
title: Betacoronaviruses SARS-CoV-2 and HCoV-OC43 infections in IGROV-1 cell line require aryl hydrocarbon receptor

description: The emergence of novel betacoronaviruses has posed significant financial and human health burdens, necessitating the development of appropriate tools to combat future outbreaks. In this study, we have characterized a human cell line, IGROV-1, as a robust tool to detect, propagate, and titrate betacoronaviruses SARS-CoV-2 and HCoV-OC43. IGROV-1 cells can be used for serological assays, antiviral drug testing, and isolating SARS-CoV-2 variants from patient samples. Using time-course transcriptomics, we confirmed that IGROV-1 cells exhibit a robust innate immune response upon SARS-CoV-2 infection, recapitulating the response previously observed in primary human nasal epithelial cells. We performed genome-wide CRISPR knockout genetic screens in IGROV-1 cells and identified Aryl hydrocarbon receptor (AHR) as a critical host dependency factor for both SARS-CoV-2 and HCoV-OC43. Using DiMNF, a small molecule inhibitor of AHR, we observed that the drug selectively inhibits HCoV-OC43 infection but not SARS-CoV-2. Transcriptomic analysis in primary normal human bronchial epithelial cells revealed that DiMNF blocks HCoV-OC43 infection via basal activation of innate immune responses. Our findings highlight the potential of IGROV-1 cells as a valuable diagnostic and research tool to combat betacoronavirus diseases.
DOI: 10.6084/m9.figshare.15180592.v1
title: Circulating chemerin levels in women with polycystic ovary syndrome: a meta-analysis

description: The present meta-analysis was conducted to investigate the association between circulating chemerin levels and polycystic ovary syndrome (PCOS) in women. Relevant studies published up to May 2020 were searched from PubMed, Ovid, the Cochrane Library, and Clinical Trial Database. A random effects model was used to measure the strength of association between PCOS and chemerin by using the standardized mean difference (SMD) and 95% confidence interval (CI). All data were analyzed using Stata 12.0 (version 12; Stata-Corp, College Station, TX). The final meta-analysis included eight studies with 15 results including a total of 897 participants (524 patients with PCOS and 373 controls). The circulating chemerin levels were higher in patients with PCOS (random effects SMD = 1.07; 95% CI: 0.55–1.59; <i>p</i> &lt; .001) than in controls. However, considerable heterogeneity across studies was not eliminated in subgroup analyses. The meta-regression analysis further suggested that region is the main source of heterogeneity (<i>p</i> = .001). Our meta-analysis indicated that women with PCOS have significantly higher circulating chemerin levels than in healthy women, indicating that chemerin may be involved in the pathogenesis of PCOS.
DOI: 10.6084/m9.figshare.14131028
title: Additional file 1 of Bioinformatic analysis reveals an exosomal miRNA-mRNA network in colorectal cancer

description: Additional file 1. Table S1. The differential expressed miRNA/mRNA identified by edgeR and limma.
DOI: 10.6084/m9.figshare.19375019
title: NAN

description: no pablic