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157 results for “particulate matter”
Impact of Particulate Matter on Mothers and Babies in Antwerp (IPANEMA)
ClinicalTrials.gov study NCT02592005. IPD Sharing: Not stated. Countries: 1. Publications: 1.
London Underground Study - Health Effects of Particulate Matter
ClinicalTrials.gov study NCT04614064. IPD Sharing: NO. Countries: 1. Publications: 1.
Behavioral Interventions to Reduce Particulate Matter Exposure in Patients With COPD
ClinicalTrials.gov study NCT04878367. IPD Sharing: YES. Countries: 1. Publications: 3.
Data from: Organic functional group and organic matter concentrations from FT-IR measurements of particulate matter samples in the Southeastern Aerosol Research and Characterization (SEARCH) network from 2009-2016
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Bulk and amino acid nitrogen specific isotope data from particulate organic matter and mesozooplankton (1000-2000 µm) from the Mekong River plume and southern South China Sea
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Patterns discovery dataset for particulate matter (pm2.5) pollution trends in Japan
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Raw data from: Differentiating siliceous particulate matter in the diets of mammalian herbivores
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Isotopic data of kelps and particulate organic matter (POM) from relevant studies and estimated contributions of kelps to local consumers
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Data from: WRF 1960-2014 winter season simulations of particulate matter in the Sahel: implications for air quality and respiratory health
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Effects of low-carbon energy adoption on airborne particulate matter concentrations with feedbacks to future climate over California
<p>California plans to reduce emissions of long-lived greenhouse gases (GHGs) through adoption of new energy systems that will also lower concentrations of short-lived absorbing soot contained in airborne particulate matter (PM). Here we examine the direct and indirect effects of reduced PM concentrations under a low-carbon energy (GHG-Step) scenario on radiative forcing in California. Simulations were carried out using the source-oriented WRF/Chem (SOWC) model over California with 12 km spatial resolution for the year 2054. The avoided aerosol emissions due to technology advances in the GHG-step scenario reduce ground level PM concentrations by ~8.85% over land compared to the Business as Usual (BAU) scenario, but changes to meteorological parameters are more modest. Top of atmospheric forcing predicted by the SOWC model increased by 0.15 W m<sup>-2</sup>, surface temperature warmed by 0.001 K, and planetary boundary layer height (PBLH) increased by 2.20 cm in the GHG-Step scenario compared to the BAU scenario. PM climate feedbacks are small because the significant changes in ground level PM concentrations associated with the GHG-Step scenario are limited to the first few hundred meters of the atmosphere, with little change for the majority of the vertical column above that level. As an order-of-magnitude comparison, the long-term effects of global reductions in GHG emissions (RCP8.5 – RCP4.5) lowered average surface temperature over the California study domain by approximately 0.76 K. The effects of long-lived climate pollutants such as CO<sub>2</sub> are much stronger than the effects of short-lived climate pollutants such as PM soot over California in the year 2054. </p>
Fine particulate matter and neuroanatomic risk for Alzheimer's disease in older women
<div class="WordSection1"> <div class="WordSection1"> <p><strong>Objective</strong>: To examine whether late-life exposure to PM<sub>2.5</sub> (particulate matter with aerodynamic diameters <2.5-µm) contributes to progressive brain atrophy predictive of Alzheimer's disease (AD) using a community-dwelling cohort of women (aged 71-89) with up to two brain MRI scans (MRI-1: 2005-6; MRI-2: 2010-11).</p> <p><strong>Methods</strong>: AD pattern similarity (AD-PS) scores, developed by supervised machine learning and validated with MRI data from the AD Neuroimaging Initiative, was used to capture high-dimensional gray matter atrophy in brain areas vulnerable to AD (e.g., amygdala, hippocampus, parahippocampal gyrus, thalamus, inferior temporal lobe areas and midbrain). Based on participants' addresses and air monitoring data, we employed a spatiotemporal model to estimate 3-year average exposure to PM<sub>2.5</sub> preceding MRI-1. General linear models were used to examine the association between PM<sub>2.5</sub> and AD-PS scores (baseline [n=1365] and 5-year standardized change [n=712]), accounting for potential confounders and white matter lesion volumes.</p> <p><strong>Results</strong>: There was no association between PM<sub>2.5</sub> and baseline AD-PS score in cross-sectional analyses. Longitudinally, each interquartile range increase of PM<sub>2.5</sub> (2.82-µg/m3) was associated with increased AD-PS scores during the follow-up, equivalent to a 24% (hazard ratio=1.24; 95% CI: 1.14, 1.34) increase in AD risk over 5-years. This association remained after adjustment for socio-demographics, intracranial volume, lifestyle, clinical characteristics, and white matter lesions, and was present with levels below US regulatory standards (<12-µg/m3).</p> <p><strong>Conclusions</strong>: Late-life exposure to PM<sub>2.5</sub> is associated with increased neuroanatomical risk of AD, which may not be explained by available indicators of cerebrovascular damage.</p> </div> </div>
Data from: Early postnatal exposure to airborne fine particulate matter induces autism-like phenotypes in male rats
Epidemiological studies have revealed that ambient fine particulate matter (PM2.5) exposure is closely associated with autism spectrum disorder (ASD). However, there is a relative paucity of laboratory data to support this epidemic finding. In order to assess the relationship between PM2.5 exposure and ASD, neonatal male Sprague-Dawley (SD) rats were chosen and exposed to PM2.5 (2 or 20 mg/kg body weight, once a day) by intranasal instillation from postnatal day (PND) 8 to 22. It was found that when exposed to PM2.5 in the early neonatal period for two weeks, both groups of the exposure rats manifested typical behavioral features of autism, including communication deficits, poor social interaction and novelty avoidance. And, we further found, among five ASD candidate genes we chose, both the mRNA level and protein expression of SH3 and multiple ankyrin repeat domains 3 (Shank3) decreased significantly in the rat hippocampus after high dose of PM2.5 exposure. Moreover, results showed that PM2.5-exposure significantly increased the levels of pro-inflammatory cytokines, IL-1β, IL-6, and TNF-α in the hippocampus and prefrontal cortex. The expression of Glial fibrillary acidic protein (GFAP) and ionized binding calcium adapter molecule (IBA1), markers of astrocytes and microglial cell activation, respectively, also increased in the exposed animals. Our work provides new data on the link between postnatal exposure to ambient PM2.5 and the onset of ASD-like symptoms in human beings, and the increased inflammatory response and abnormalities in Shank3 expression in the brain may contribute to the mechanisms of PM2.5 exposure induced ASD.
Data and Code for PM2.5 assimilation and health assessment in "Ultra-high-resolution mapping of ambient fine particulate matter to estimate human exposure in Beijing"
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Data and code for the paper: Exposure to Fine Particulate Matter during Home-to-Work Commute in the New York City Subway System
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Appendix dataset for "Distribution, storage, and factors influencing particulate and mineral-associated organic matter in paddy soils"
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Particulate matter observations using HM-3301 low-cost sensor
<p>The low-cost sensor was installed on September 17, 2019, and data has been taken until November 12, 2019, with some days of inactivity. During this period, the sensor has been located in both indoor and outdoor environments. In total, three different periods can be identified. The first period was from September 17 to October 14 where the sensor was installed in an indoor environment (an office at Universitat Jaume I, Castelló, Spain); the second period was from October 15 to October 30 in an outdoor environment (Vila-real, , Castelló, Spain); and finally, third period from October 31 to November 12 in an indoor environment (an office at Universitat Jaume I, Castelló, Spain). In total 3,677 observations were collected during these three periods with a rate of 15 minutes. Each observation contains a timestamp and PM1, PM2.5 and PM10 values. </p>
Attribution and Behaviors Towards Particulate Matter: The Moderating Roles of Political Orientation and Transboundary Perception
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Input data and analysis codes for "Reversal of trends in global fine particulate matter air pollution"
<p>This dataset contains Input data and analysis codes used for the following article:</p> <p>Li, C., A. van Donkelaar, M. S. Hammer, E. E. McDuffie, R. T. Burnett, J. V. Spadaro, D. Chatterjee, A. J. Cohen, J. S. Apte, V. A. Southerland, S. C. Anenberg, M. Brauer, & R. V. Martin, Reversal of trends in global fine particulate matter air pollution, submitted, 2023.</p> <p> </p> <p><strong>Input Data</strong></p> <p>Baseline mortality data (204 countries and territories, 17 age groups, 6 diseases, 22 years)</p> <p>Concentration-response functions (GEMM and MRBRT)</p> <p>PM<sub>2.5</sub> exposure for 204 territories and 22 years</p> <p>Age-specific population for 204 territories and 22 years</p> <p> </p> <p><strong>Derived Data</strong></p> <p>Age- and disease-specific PM<sub>2.5</sub>-attributable Mortality estimates for 204 territories and 22 years.</p> <p>Sensitivity of PM<sub>2.5</sub>-attributable Mortality to marginal PM<sub>2.5</sub> reduction for 204 territories and 22 years.</p> <p>Attributable of changes in PM<sub>2.5</sub>-attributable Mortality (and its sensitivity to marginal PM<sub>2.5</sub> reduction) to four driving factors.</p> <p> </p> <p><strong>Code</strong></p> <p>Necessary python scripts to verify and replicate analysis results in the manuscript.</p>
Impact of Particulate Matter in Chronic Obstructive Pulmonary Disease Patients
ClinicalTrials.gov study NCT04020237. IPD Sharing: NO. Countries: 0. Publications: 1.
Effects of low-carbon energy adoption on airborne particulate matter concentrations with feedbacks to future climate over California
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.