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ShareScore release 0.9.0
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157 results for “particulate matter”
Data from: Early postnatal exposure to airborne fine particulate matter induces autism-like phenotypes in male rats
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Fine particulate matter and neuroanatomic risk for Alzheimer’s disease in older women
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NARSTO Texas Particulate Matter (PM) 2.5 Sampling and Analysis Study: 1997-1998 Data
NARSTO_Texas_PM2.5_Sampling_and_Analysis_Study_1997-1998_ is the North American Research Strategy for Tropospheric Ozone (NARSTO) Texas Particulate Matter (PM) 2.5 Sampling and Analysis Study: 1997-1998 Data. The data for this product was collected from March 11, 1997 to March 12, 1998. The City of Houston, the Texas Natural Resource Conservation Commission (TNRCC), and the Houston Regional Monitoring Network sponsored sampling and analysis of PM2.5 samples taken over the course of one year, from March 11, 1997 to March 12, 1998. Objectives of the study were to determine the levels and chemical composition of PM2.5 in Houston and other cities in Texas and to determine the background levels and chemical composition of PM2.5 transported into Houston. During the sampling effort, 24-hour PM2.5 mass measurements were acquired from 15 sites throughout the state of Texas, using DRI's MEDVOL particle samples. All of the Teflon filters were analyzed for mass by gravimetry and a selected subset of the Teflon and quartz fiber filters were subjected to full chemical analysis. These measurements were taken in anticipation of the U.S. EPA revising PM2.5 and PM10 NAAQS. These results could be used to establish background PM conditions and determine compliance with new PM standards. Various sampler configurations allow evaluation of data precision, accuracy, and validity. NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Simulated Fine Particulate Matter (PM2.5) Estimates over Alaska, 2001-2015
The dataset provides simulated PM2.5 concentration estimates over Alaska, U.S. PM2.5 (particulate matter with diameter <= 2.5 microns) concentrations in air (micrograms m-3) are gridded at 0.1-degree resolution for May to September for the years 2001 through 2015. The data were created in a modeling process utilizing the Wildland Fire Emissions Inventory System (WFEIS), the Arctic-Boreal Vulnerability Experiment (ABoVE) Wildfire Date of Burning (WDoB) dataset, and multiple models including the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The data are provided in GeoTIFF format.
Type 1 interferon and pattern recognition receptor signaling following particulate matter inhalation
GEO Series GSE34056. Mus musculus. 47 samples. Type: Expression profiling by array.
Fine particulate matter (PM2.5) induces microRNA-192–5p causing glomerular damage
GEO Series GSE285038. Danio rerio. 4 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic profile of blood cells exposed to particulate matter
GEO Series GSE226707. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Effect of Particulate Matter (PM10) on innate immunity upon H5N1 infection
GEO Series GSE147227. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Tendon methylation microarray after particulate matter inhalation
GEO Series GSE200709. Rattus norvegicus. 3 samples. Type: Methylation profiling by array.
Single Cell RNA Sequencing Reveals a Unique Monocyte Population in Bronchoalveolar Lavage Cells of Mice Challenged with Afghanistan Particulate Matter and Allergen
GEO Series GSE155391. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Prevalence of multi-resistant plasmids in hospital inhalable particulate matter (PM) and its impact on horizontal gene transfer
GEO Series GSE159850. Escherichia coli HB101. 1 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis identifies the impact of different organic components of fine particulate matter (PM2.5) on human nasal fibroblasts
GEO Series GSE284720. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Cerebral cortex and blood transcriptome changes in mouse neonates prenatally exposed to air pollution particulate matter
GEO Series GSE142453. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Endogenous itaconate is not required for particulate matter-induced NRF2 expression or inflammatory response
GEO Series GSE143881. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Oxidative Stress and Reduced Responsiveness of Challenged Circulating Leukocytes Following Pulmonary Instillation of Metal-Rich Particulate Matter in Rats
GEO Series GSE58197. Rattus norvegicus. 48 samples. Type: Expression profiling by array.
Genetic Variation amongst NHBE donor cells containing various TRPV1 SNPs with and without particulate matter treatments
GEO Series GSE85447. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of World Trade Center particulate Matter-induced pulmonary inflammation and drug treatments
GEO Series GSE217456. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing.
Toxicological Transcriptome of Human Airway Constructs After Exposure to Indoor Air Particulate Matter: In Search of Relevant Pathways of Moisture Damage -Associated Health Effects
GEO Series GSE175878. Homo sapiens. 260 samples. Type: Expression profiling by high throughput sequencing.
Potential toxicity of inorganic ions in the particulate matter: ion permeation in lung and disruption of cell metabolism
GEO Series GSE182629. Homo sapiens; Mus musculus. 42 samples. Type: Expression profiling by high throughput sequencing.
Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution
<p>In this paper we evaluate characteristics of three optical particulate matter sensors/sizers (OPS): high-end spectrometer 11-D (Grimm, Germany), low-cost sensor OPC-N2 (Alphasense, United Kingdom) and in-house developed MAQS which is based on another low-cost sensor - PMS5003 (Plantower, China), under realistic conditions of strong and mild urban pollution. Results were compared against a reference gravimetric system, based on Gemini (Dadolab, Italy), 2.3 m3/h air sampler, with two channels (simultaneously measuring PM2.5 and PM10 concentrations). The measurements were performed in Sarajevo, the capital of Bosnia-Herzegovina, from December 2019 until May 2020. This interval is divided into period 1 - strong pollution (December 2019 - March 2020) and period 2 - mild pollution (March 2020 - May 2020). The city of Sarajevo is one of the most polluted cities in Europe in terms of aerosols: the average concentration of PM2.5 during the period 1 was 83 ug/m3, with daily aveverage values exceeding 500 ug/m3. During period 2, the average concentration of PM2.5 was 20 ug/m3. These conditions represent a good opportunity to<br> test optical devices against reference instrument in a wide range of ambient particulate matter (PM) concentrations. The effect of an in-house developed diffusion dryer for 11-D is discussed as well. In order to analyze the mass distribution of aerosols, a scanning mobility particle sizer (SMPS) spectrometer, which together with the 11-D spectrometer gives the full spectrum from nanoparticles of diameter 10 nm to coarse particles of diameter 35 um, was used. All tested devices showed excellent correlation with the reference instrument in period 1, with R^2 values between 0.90 and 0.99 for daily average PM concentrations. However, in period 2, where the range of concentrations was much narrower, R^2 values decreased significantly, to values from 0.28 to 0.92. We have also included results of a 13.5 month long-term comparison of our MAQS sensor with a nearby beta attenuation monitor (BAM) 1020 (Met One Instruments, USA) operated by the United States Environmental Protection Agency (US EPA), which showed similar correlation and no observable change of performance over time.</p> <p>This dataset contains:<br> 1. preliminary.csv - hourly average PM2.5 and PM10 values for 8 MAQS sensors during the preliminary test period<br> 2. meteo.csv - ambient air temperature and relative humidity, hourly average values<br> 3. PM_reference_timeseries.csv - timeseries of data from reference air sampler, including PM2.5, PM10, average air temperature, average air pressure, actual air volume and mass difference (loaded-blank) of each filter<br> 4. main.csv - comparisons of 11-D, OPC-N2 and MAQS sensor against the reference during the campaign<br> 5. dryer_effect.csv - hourly average data of ambient air vs 11-D internal, temperature and relative humidity. Dryer was installed on 03/12/2020 15:30<br> 6. SMPS.zip (4 files) - wide-range spectrometer (SMPS with 11-D) csv files for density plots: time, Log(Dp) and concentration values (both absolute and normalized), based on hourly average data<br> 7. histograms.zip (8 files) - selected wide-range histograms, based on hourly average data from SMPS and 11-D<br> 8. BAM.zip (5 files) - long-term comparisons of MAQS sensor with a nearby BAM. Hourly (BAM1.csv), daily (BAM2.csv) and monthly (BAM3.csv) average values and comaparison of two MAQS sensors 300 meters apart, hourly (BAM4.csv) and daily (BAM5.csv) values<br> </p>
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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.