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20 results for “air transport”

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zenodo48/100

Genome-Wide DNA Methylation in Peripheral Blood and Long-Term Exposure to Source-Specific Transportation Noise and Air Pollution: The SAPALDIA Study (Supplementary Data)

<p>The zip file contains supplementary data for the publication - Genome-Wide DNA Methylation in Peripheral Blood and Long-Term Exposure to Source-Specific Transportation Noise and Air Pollution: The SAPALDIA Study, accepted for publication in Environmental Health Perspectives (DOI: 10.1289/EHP6174).</p> <p>The description of the files are noted below:</p> <p><strong>1. Readme File for SAPALDIA Noise and Air Pollution EWAS Single Exposure.zip </strong></p> <p>This zip file contains all the results of the association between source-specific transportation noise (aircraft, railway and road traffic), air pollution (NO<sub>2</sub> and PM<sub>2.5</sub>), and genome-wide DNA methylation, derived from multi-exposure models.</p> <p><strong>SAPALDIA_EWAS_SingleExposure_AircraftLden.txt</strong> contains the results for aircraft noise</p> <p><strong>SAPALDIA_EWAS_SingleExposure_RailwayLden.txt</strong> contains the results for railway noise</p> <p><strong>SAPALDIA_EWAS_SingleExposure_RoadtrafficLden.txt</strong> contains the results for road traffic noise</p> <p><strong>SAPALDIA_EWAS_SingleExposure_NO2.txt</strong> contains the results for nitrogen dioxide</p> <p><strong>SAPALDIA_EWAS_SingleExposure_PM25.txt</strong> contains the results for fine particulate matter</p> <p>&nbsp;</p> <p><strong>General footnote for all files:</strong>SAPALDIA: Swiss cohort study on air pollution and lung and heart diseases in adults. CpG: Cytosine-phosphate-Guanine. CHR: chromosome. SE: standard error. Lden: day-evening-night noise level. NO<sub>2</sub>: nitrogen dioxide. PM<sub>2.5</sub>: particulate matter with aerodynamic diameter &lt;2.5 &micro;m. Beta coefficients represent increase or decrease in DNA methylation per 10 dB increase in aircraft, railway or road traffic Lden or 10 &micro;g/m<sup>3</sup> increase in NO<sub>2</sub> or PM<sub>2.5</sub>. All estimates were from single exposure epigenome-wide linear mixed models, with random intercept at the level of participant. Each model was adjusted for age, sex, educational level, area, and neighborhood socio-economic status, greenness index, smoking status and pack years, exposure to passive smoke, consumption of fruits, vegetables and alcohol, nested study, asthma status, survey, source-specific noise truncation indicator (for Lden models) and leukocyte composition. In a preliminary step, DNA methylation &beta;-values were regressed on the Illumina control probe-derived first 30 principal components to correct for correlation structures and technical bias, and residuals of these regressions covering 430,477 CpGs were used as the technical bias-corrected methylation level at the CpG sites.</p> <p>Extreme values of the residuals (lying beyond three times the interquartile range below the first quartile and above the third quartile at each CpG site) were replaced with their corresponding detection threshold value (&ldquo;modified winsorization&rdquo;). The &ldquo;winsorized&rdquo; data were then used as the dependent variables in the epigenome-wide association study.</p> <p>&nbsp;</p> <p><strong>2. Readme File for SAPALDIA Noise and Air Pollution EWAS Multi Exposure.zip </strong></p> <p>This zip file contains all the results of the association between source-specific transportation noise (aircraft, railway and road traffic), air pollution (NO<sub>2</sub> and PM<sub>2.5</sub>), and genome-wide DNA methylation, derived from multi-exposure models.</p> <p><strong>SAPALDIA_EWAS_MultiExposure_AircraftLden.txt</strong> contains the results for aircraft noise</p> <p><strong>SAPALDIA_EWAS_MultiExposure_RailwayLden.txt</strong> contains the results for railway noise</p> <p><strong>SAPALDIA_EWAS_MultiExposure_RoadtrafficLden.txt</strong> contains the results for road traffic noise</p> <p><strong>SAPALDIA_EWAS_MultiExposure_NO2.txt</strong> contains the results for nitrogen dioxide</p> <p><strong>SAPALDIA_EWAS_MultiExposure_PM25.txt</strong> contains the results for fine particulate matter</p> <p><strong>General table footnotes: </strong>SAPALDIA: Swiss cohort study on air pollution and lung and heart diseases in adults. CpG: Cytosine-phosphate-Guanine. CHR: chromosome. SE: standard error. Lden: day-evening-night noise level. NO<sub>2</sub>: nitrogen dioxide. PM<sub>2.5</sub>: particulate matter with aerodynamic diameter &lt;2.5 &micro;m. Beta coefficients represent increase or decrease in DNA methylation per 10 dB increase in aircraft, railway or road traffic Lden or 10 &micro;g/m<sup>3</sup> increase in NO<sub>2</sub> or PM<sub>2.5</sub>. All estimates were from multi-exposure epigenome-wide linear mixed models, with random intercept at the level of participant, and were adjusted for age, sex, educational level, area, and neighborhood socio-economic status, greenness index, smoking status and pack years, exposure to passive smoke, consumption of fruits, vegetables and alcohol, nested study, asthma status, survey, source-specific noise truncation indicator and leukocyte composition. Multi-exposure models included all five exposures (Aircraft, railway, road traffic Lden and respective truncation indicators, NO<sub>2</sub> and PM<sub>2.5</sub>) at the same time. In a preliminary step, DNA methylation &beta;-values were regressed on the Illumina control probe-derived first 30 principal components to correct for correlation structures and technical bias, and residuals of these regressions covering 430,477 CpGs were used as the technical bias-corrected methylation level at the CpG sites. Extreme values of the residuals (lying beyond three times the interquartile range below the first quartile and above the third quartile at each CpG site) were replaced with their corresponding detection threshold value (&ldquo;modified winsorization&rdquo;). The &ldquo;winsorized&rdquo; data were then used as the dependent variables in the epigenome-wide association study.</p>

opencc-by-4.0May 2020View details →
edi44/100

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 3 meteorological station: 5-minute summary wind and air temperature data: 2018 - ongoing

5-minute summary data at NEAT Block-3 met station. A met station consisting of a 10-meter mast is installed on the northwest corner of the site. Air temperature, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

openCC (other)Dec 2024View details →
zenodo40/100

Dataset: Air Transport Services Group, Inc. (ATSG) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo40/100

Data used in "Climatology and variability of air mass transport from the boundary layer to the Asian monsoon anticyclone"

<p>The data presented here are needed to reproduce the analyses of the publication: N&uuml;tzel, M., Brinkop, S., Dameris, M., Garny, H., J&ouml;ckel, P., Pan, L. L., and Park, M.: Climatology and variability of air mass transport from the boundary layer to the Asian monsoon anticyclone, Atmos. Chem. Phys., 22, 15659&ndash;15683, https://doi.org/10.5194/acp-22-15659-2022, 2022. A short explanation of the archived data is presented in the accompanying README.</p> <p>Note: In the previous data set version (<a href="https://doi.org/10.5281/zenodo.7275804">10.5281/zenodo.7275804</a>) one file was missing and is added here.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-nc-sa-4.0Dec 2022View details →
zenodo40/100

MERICS Podcast: China's advances in rail, sea and air transportation, with Alexander Brown and Gregor Sebastian

<p>China has extended its High-Speed Rail network from about 9.000 to 42.000 km of tracks with a fleet of Chinese made trains running on it. The first fully domestically engineered passenger aircraft C919 has started its commercial service and on June 6, the first domestically built large cruise ship, has left Shanghai for sea trials. China is undoubtedly making rapid progress in air, sea and rail transportation.</p> <p>What are China&rsquo;s aims and what challenges does it face on the way? And what does this mean for European industries? To answer these questions,&nbsp;<strong>Alexander Brown</strong>&nbsp;and&nbsp;<strong>Gregor Sebastian</strong>, analysts in the economics team at MERICS, join&nbsp;<strong>Johannes Heller-John</strong>&nbsp;for a conversation.</p> <p>This podcast episode is part of the &ldquo;Dealing with a Resurgent China&rdquo; (DWARC) project, which has received funding from the European Union&rsquo;s Horizon Europe research and innovation programme under grant agreement number 101061700.</p> <p>Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

Effects of Reanalysis Forcing Fields on Ozone Trends and Age of Air from a Chemical Transport Model

<p>This dataset is based on&nbsp;the global off-line 3-D chenmical transport model&nbsp;(TOMCAT/SLIMCAT) forced with ECMWF reanalyses (ERA-Interim and ERA5) to compare the performance of the stratospheric ozone simulations.&nbsp;Each field is separately saved as NETCDF file. Each field is show on geographic coordinates, which can be longitude, latitude, vertical hybrid-pressure level (for zonal mean fields, such as ozone, temperature and&nbsp;age-of-air).</p> <p>The dimensions in each field are:</p> <p>lat --&gt; latitude</p> <p>lon --&gt; longitude</p> <p>lev --&gt; hydrid pressure level</p> <p>time --&gt; months of the simulation</p> <p>The output of the&nbsp;total column ozone from the TOMCAT/SLIMCAT simulations forced with ERA-Interim and ERA5 for Figures 1-4 and&nbsp; Figure S2 in the supplement&nbsp;are in files:</p> <p>toz_A_ERAI.nc</p> <p>toz_B_ERA5.nc</p> <p>The output of the&nbsp;stratospheric column ozone (SCO) in&nbsp;Figure S1 in the supplement&nbsp;are in the file (levels1-3 are SWOOSH, B_ERA5 and A_ERAI SCO data, respectively):</p> <p>sco_SWOOSH_A_ERAI_B_ERA5.nc</p> <p>The output of zonal mean ozone profiles from the TOMCAT/SLIMCAT simulations forced with ERA-Interim and ERA5 for Figures 5-7, 9 and Figures S3-4 are in files:</p> <p>O3_mm_A_ERAI.nc</p> <p>O3_mm_B_ERA5.nc</p> <p>The output of zonal mean temperature from the TOMCAT/SLIMCAT simulations forced with ERA-Interim and ERA5 for Figure 8 are in files:</p> <p>te_mm_A_ERAI.nc</p> <p>te_mm_B_ERA5.nc</p> <p>The output of zonal mean age-of-air from the TOMCAT/SLIMCAT simulations forced with ERA-Interim and ERA5 for Figures 10-12 are in files:</p> <p>Age_mm_A_ERAI.nc</p> <p>Age_mm_B_ERA5.nc</p> <p>The output of the zonal mean ozone, temperature and age-of-air from the ERA5.1 reanalysis corrected simulations during the period from 2000 to 2006 in all Figures above using ERA5 are in files:</p> <p>ERA5_1_O3_2000_18.nc</p> <p>ERA5_1_te_2000_18.nc</p> <p>ERA5_1_Age_2000_18.nc</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2022View details →
ClinicalTrials.gov36/100

Study of Tranexamic Acid During Air and Ground Medical Prehospital Transport Trial (STAAMP Trial)

ClinicalTrials.gov study NCT02086500. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo32/100

Impacts of transboundary transport on coastal air quality of south China

<p>observation data for air pollutants&nbsp;from&nbsp;China&rsquo;s Ministry of Ecology and Environment</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Exploring research trends in air-rail passenger transport relationships through a content-based analysis

<p>Data set for the journal publication title &quot;Exploring research trends in air-rail passenger transport relationships through a content-based analysis&quot;</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Widespread pesticide distribution in European atmosphere questions their degradability in air - Pan-European Study of Pesticides long-range Atmospheric Transport - Full Dataset

<p>Here are the dataset, used and presented in the 2024 article entitled "Widespread pesticide distribution in European atmosphere questions their degradability in air" in Environmental Science and Technology</p> <p>For related questions:</p> <p>please contact authors Ludovic Mayer (ludovic.mayer@recetox.muni.cz)</p> <p>or corresponding authors: Gerhard Lammel (gerhard.lammel@recetox.muni.cz) or C&eacute;line Degrendele (celine.degrendele@recetox.muni.cz)</p>

openApr 2023View details →
zenodo28/100

Effect of earth-air on water transport in the deep soil of the Loess Plateau

<p>Date availability in the date in brief.</p>

opencc-by-4.0Jul 2022View details →
zenodo28/100

Effect of Earth-Air Movement on Water Transport in the Rock Surrounding Cave B113 in the Mogao Grottoes

<p>data</p>

opencc-by-4.0Jul 2024View details →
zenodo28/100

Simulations of Typhoon In-Fa (2106) and air-sea interactions using a coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system

<p>The Observation data&nbsp;supporting the result of our manucript submitted to JGR-Ocean.</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
dryad28/100

Dataset of air travelers’ ground transportation choice at four airports in Northern California

Open the record for dataset details and reuse information.

publicOct 2024View details →
dryad28/100

Hyperlocal monitoring of traffic-related air pollution to assess near-term impacts of sustainable transportation interventions

Open the record for dataset details and reuse information.

publicFeb 2023View details →
zenodo24/100

COVID-19 Impact on US Air Transportation

<p>This analysis focuses on the impact that COVID-19 has had on air transportation in the USA. I&nbsp;wanted to take the opportunity to analyze air transportation data to identify any trends/changes that this industry has suffered during 2020. The graphs were created&nbsp;with Python graphing libraries and the entire analysis is available following this link:&nbsp;https://github.com/dbernal1/COVID-and-Domestic-Flight-Impact</p>

opencc-by-4.0Dec 2020View details →
ClinicalTrials.gov24/100

Ischemic Conditioning During Air tRansport Save penUmbral Tissue

ClinicalTrials.gov study NCT03481205. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Enhanced Critical Care Air Transport Team Training for Mitigation of Task Saturation

ClinicalTrials.gov study NCT01628224. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Air Suspension Biodegradable Patient Transport Pad

ClinicalTrials.gov study NCT03858374. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo12/100

Prenatal exposure to environmental air pollution and psychosocial stress jointly contribute to the epigenetic regulation of the serotonin transporter gene in newborns

<p>This database includes the raw data linked with the paper &ldquo;Prenatal exposure to environmental air pollution and psychosocial stress jointly contribute to the epigenetic regulation of the serotonin transporter gene in newborns&rdquo; accepted for publication on Molecular Psychiatry. This study is part of the longitudinal and multi-centric &ldquo;Measuring the outcomes of maternal COVID-19-related prenatal exposure (MOM-COPE)&rdquo; study. Here, we report on the interactive influence of variations in antenatal exposures to maternal pandemic-related stress (PRS) and PM2.5 on SLC6A4 DNAm levels in newborns.</p> <p>Procedures</p> <p>Mother&ndash;infant dyads (N=307) were enrolled at delivery during the COVID-19 pandemic. Infants&rsquo; methylation status was assessed in 13 CpG sites within the SLC6A4 gene&rsquo;s region (chr17:28562750&ndash;28562958) in buccal cells at birth and women retrospectively report on PRS. PM2.5 exposure throughout the entire gestation and at each gestational trimester was estimated using a spatiotemporal model based on residential address.</p> <p>&nbsp;</p> <p>Among several potentially confounding socio-demographic and health-related factors, infant&rsquo;s sex was significantly associated with infants&rsquo; SLC6A4 DNAm levels, thus hierarchical regression models were adjusted for infant&rsquo;s sex.</p> <p>Mother&ndash;infant dyads (N = 276) were recruited at delivery. Maternal trait anxiety, as a marker of antenatal chronic stress exposure, was assessed soon after delivery using the Stait-Trait Anxiety Inventory (STAI-Y). Infants&rsquo; BDNF DNAm at birth was assessed in 11 CpG sites in buccal cells whereas infants&rsquo; NE was assessed at 3 (N = 225) and 6 months (N = 189) using the Infant Behavior Questionnaire-Revised (IBQ-R).</p> <p>Analytical plan</p> <p>Principal component analysis (PCA) was used to reduce the number of CpG sites into a smaller set of factors.</p> <p>A four-factor solution, where the targeted CpG sites were aggregated in 4 main factors, showed the best fit to the data (Table 2). Principal Component 1 (PC1; composed of 6 CpG sites) and Principal Component 2 (PC2; composed of 3 CpG sites) accounted, respectively, for 31.6% and 12.8% of the total variance in SLC6A4 DNAm and were used in further analyses. Pearson correlations and independent samples t-tests were employed to explore the potential effect of sociodemographic and health-related variables on infant methylation levels. All variables found to be significantly associated with the outcomes examined were included as covariates in subsequent analyses. Separate hierarchical regression analyses were performed to evaluate the independent and interactive effects of maternal PRS and exposure to air pollution on infant methylation levels.</p> <p>Findings in brief</p> <p>Higher levels of SLC6A4 DNAm at 6 CpG sites were found in newborns born to mothers reporting higher levels of antenatal PRS and greater PM2.5 exposure across gestation, while adjusting for infant&rsquo;s sex. These effects were especially evident when exposure to elevated PM2.5 occurred during the second trimester of pregnancy.</p>

restrictedJul 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record