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3,018 results for “AIR”
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space
<p><strong>Description</strong></p> <p>This dataset contains remote sensing data from the ESA Copernicus missions Sentinel-2 and Sentinel-5P (tropsopheric NO2 column density) in the 2018-2020 timespan. The satellite measurements each cover ~3100 locations in Europe and ~100 on the US Westcoast, each with a size of 1.2x1.2km. The locations are selected such that each measurement is centered at the location of an air quality measurement station on the ground (from the European Environment Agency or the US Environmental Protection Agency, measuring NO2). This makes it possible to analyze spatiotemporally aligned remote sensing and ground-based measurements.</p> <p> The 13 Sentinel-2 bands are upsampled (bilinear) to 10m resolution and cropped to 120x120 pixel. For some locations multiple Sentinel-2 images are available. The images are stored as binary numpy `.npy` files organized into directories based on their locations. </p> <p>The Sentinel-5P data was pre-processed by mapping the measurements from consecutive satellite overpasses onto a common rectangular grid of 0.05×0.05◦(∼5×5km) across Europe. To harmonize the Sentinel-2 (10m to 60m, upscaled to 10m) and Sentinel-5P (5×3.5km, rescaled to 5×5km) imaging resolutions, the Sentinel-5P data is linearly interpolated to 10m resolution and cropped to 120×120 pixel around the locations of interest. Additionally, all measurements with a QA flag (qa_value) below 75 were discarded, following ESA recommendations. The Sentinel-5P data are stored as `.netcdf` file, organized by location. For each location, three such files are available, containing averaged Sentinel-5P measurements at different temporal frequencies (2018-2020, quarterly, monthly).</p> <p>The <p>samples_{frequency}_{area}.csv</p> files provide a list of observations with the corresponding file paths to a (cloud-free) Sentinel-2 image, the Sentinel-5P measurement, and the average NO2 concentration measurement by the EEA or EPA ground station. These files can be used for easy data-loading.</p> <p><strong>Content</strong></p> <p>The data is organized into the following files:</p> <ul> <li>README.md - this file</li> <li>sentinel-2-eea.tar.gz [33.1GB]</li> <li>sentinel-5p-eea.tar.gz [80.1GB]</li> <li>samples_2018_2020_eea.csv </li> <li>samples_quarterly_eea.csv</li> <li>samples_monthly_eea.csv</li> <li>sentinel-2-epa.tar.gz [0.15GB]</li> <li>sentinel-5p-epa.tar.gz [1.8GB]</li> <li>samples_2018_2020_epa.csv</li> <li>samples_quarterly_epa.csv</li> <li>samples_monthly_epa.csv</li> </ul> <p><strong>Acknowledgement</strong></p> <p>If you use this data set, please cite our publication:</p> <p><em>Scheibenreif, L., Mommert, M., Borth, D., "</em>Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space<em>", Tackling Climate Change with Machine Learning workshop at ICML 2021.</em></p> <p>Please refer to this publication for additional information on the data set.</p> <p>This data set contains modified Copernicus Sentinel data acquired in 2018-2020, processed by ESA.</p> <p> </p> <p><strong>Responsible Author</strong></p> <p>Linus Scheibenreif<br> University of St. Gallen, Institute of Computer Science<br> Chair Artificial Intelligence and Machine Learning<br> linus.scheibenreif ( at ) unisg.ch</p>
OPTIMA - droplet characteristics incl. air support data - bed-grown carrots boom sprayer
<p>Spray droplet size and velocity characteristics data of 4 nozzle types at 4 air support settings, measured at 300 kPa and 50 cm below the nozzle using a PDPA laser based measuring set-up.</p> <p>Read 'Info' tab for more information.</p> <p>Data presented in Zwertvaegher et al. (2022). Boom sprayer optimizations for bed-grown carrots at different growth stages based on spray distribution and droplet characteristics. Pest Management Science. https://onlinelibrary.wiley.com/doi/10.1002/ps.6792 </p>
A GC-IRMS method for measuring sulfur isotope ratios of carbonyl sulfide from small air samples
<p>This dataset contains supporting files, figures and datasets for the method of sulfur isotope measurements of carbonyl sulfide and ambient air measurements in the Netherlands during 2020 and 2021.</p>
Dataset and R code: Effects of temperature and air pollution on emergency ambulance dispatches: a time series analysis in a medium-sized city in Germany
<p>Dataset and R script to replicate results in the manuscript "Effects of temperature and air pollution on emergency ambulance dispatches: a time series analysis in a medium-sized city in Germany", currently under review.</p>
Fig. 5 in Landuse Patterns, Air Quality And Bird Diversity In Urban Landscapes Of Delhi
Fig. 5. CCA plot showing the relationships of landuse patterns, air pollutants and bird species abundance.
Seasonal analysis comparison of three air-cooling systems in terms of thermal comfort, air quality and energy consumption for school buildings in Mediterranean climates
<p>Efficient air-cooling systems for hot climatic conditions, such as Southern Europe, are required in the context of nearly Zero Energy Buildings, nZEB. Innovative air-cooling systems such as regenerative indirect evaporative coolers, RIEC and desiccant regenerative indirect evaporative coolers, DRIEC, can be considered an interesting alternative to direct expansion air-cooling systems, DX. The main aim of the present work was to evaluate the seasonal performance of three air-cooling systems in terms of air quality, thermal comfort and energy consumption in a standard classroom. Several annual energy simulations were carried out to evaluate these indexes for four different climate zones in the Mediterranean area. The simulations were carried out with empirically validated models. The results showed that DRIEC and DX improved by 29.8% and 14.6% over RIEC regarding thermal comfort, for the warmest climatic conditions, Lampedusa and Seville. However, DX showed an energy consumption three and four times higher than DRIEC for these climatic conditions, respectively. RIEC provided the highest percentage of hours with favorable indoor air quality for all climate zones, between 46.3% and 67.5%. Therefore, the air-cooling systems DRIEC and RIEC have a significant potential to reduce energy consumption, achieving the user’s thermal comfort and improving indoor air quality.</p>
On-Glacier Air Temperatures for Miage Debris-Covered Glacier, 2014
<p>Miage_Glacier_Air_Temperature_Data_2014.xlsx<br> %------------------------------------------%<br> Data Generated on 13th May 2022</p> <p>Data Curator: Dr. Thomas Shaw (Swiss Federal Institute, WSL, Switzerland)</p> <p>Data Provider(s): Dr. Thomas Shaw (Swiss Federal Institute, WSL, Switzerland) thomas.shaw@wsl.ch<br> Prof. Benjamin Brock (Northumbria University, Newcastle, UK) benjamin.brock@northumbria.ac.uk</p> <p>Data period: 1st July - 27th September, 2014</p> <p><br> Details:<br> Hourly data are generated for air temperature stations ('T-Loggers') distributed across the debris-covered Miage Glacier, Italy (45.8129°N, 6.8458°E).<br> Air temperatures (°C) were measured using Tinytag thermistors (accuracy +/- 0.2-0.35°C) housed in naturally ventilated Campbell MET20 / MET21 radiation shields.</p> <p>Off-Glacier air temperatures (measured as above) are provided for comparison with on-glacier air temperatures. </p> <p>For additional details can be found in the article: <br> Shaw, T. E., Brock, B. W., Fyffe, C. L., Pellicciotti, F., Rutter, N., & Diotri, F. (2016).<br> Air temperature distribution and energy-balance modelling of a debris-covered glacier. Journal of Glaciology, 62(231), 1–14. <br> https://doi.org/10.1017//jog.2016.31</p> <p>Please cite the above article for any usage of the dataset.</p> <p>Data are shared and compiled as part of a wider project to estimate on-glacier air temperatures from off-glacier data<br> For more details on the 'TEMPEST' project, visit: https://tempestglacier.com/</p>
Simulation file for "Titanium dioxide and silver nanoparticles air emissions risk assessment for spray coating processes in Witek, Italy – A case study"
<p>Underlying data for “Nanosized titanium dioxide particle emission potential from a commercial indoor air purifier photocatalytic surface – A case study”</p>
Streamer propagation in humid air
<p>This dataset includes the input and output files for the paper: Streamer propagation in humid air.</p> <p><strong>Input files</strong>:</p> <p># <em>Plasma-chemistry and transport coefficients</em></p> <p>chemistry_files/*.txt</p> <p># <em>Configuration files</em></p> <p>config_files/*.cfg</p> <p># <em>Initial conditions (densities)</em></p> <p>config_files/m_user.f90</p> <p><strong>Output files (output_files)</strong>:</p> <p>*.silo</p> <p>*.txt</p> <p>Output data generated with the software afivo-streamer (https://gitlab.com/MD-CWI-NL/afivo-streamer) corresponding to the commit 1ff2676ba48a5eb568f06c7b11a548629a5ff20c</p>
Streamer propagation in humid air
<p>This dataset includes the input and output files for the paper: Streamer propagation in humid air.</p> <p><strong>Input files</strong>:</p> <p># <em>Plasma-chemistry and transport coefficients</em></p> <p>chemistry_files/*.txt</p> <p># <em>Configuration files</em></p> <p>config_files/*.cfg</p> <p># <em>Initial conditions (densities)</em></p> <p>config_files/m_user.f90</p> <p><strong>Output files (output_files)</strong>:</p> <p>*.silo</p> <p>*.txt</p> <p>Output data generated with the software afivo-streamer (https://gitlab.com/MD-CWI-NL/afivo-streamer) corresponding to the commit 1ff2676ba48a5eb568f06c7b11a548629a5ff20c</p> <p> </p>
Calidad del Aire en Estación Urbana de Renovales
<p>Conjunto de indicadores que ofrece datos obre el número de días del año con buena o alta calidad de aire en base al dióxido de nitrógeno (NO2), Ozono (O3), monóxido de carbono (CO), partículas PM5 y partículas PM10. Los datos provienen de la Estación urbana de fondo Renovales.</p> <ul> <li><strong>OBJETIVO:</strong> La mejora y vigilancia de la calidad del aire local.</li> <li><strong>OBJETIVO SOBRE EL QUE INCIDE</strong>: Mejora de la calidad del aire.</li> <li><strong>TENDENCIA DESEADA</strong>: Aumento.</li> </ul> <p>Se tiene en cuenta la siguiente normativa:</p> <ul> <li>Directiva 2008/50/CE del Parlamento Europeo y del Consejo de 21 de mayo de 2008 relativa a la calidad del aire ambiente y a una atmósfera más limpia en Europa.</li> <li>Real Decreto 102/2011, de 28 de enero, relativo a la mejora de la calidad del aire.</li> <li>Real Decreto 39/2017, relativo a la modificación del anterior real Decreto 102/2011, relativo a la mejora de la calidad del aire.</li> </ul> <p><strong>Unidad responsable o fuente:</strong> Servicio de Medio Ambiente y Sostenibilidad. Ayuntamiento de Zaragoza.</p> <p><strong>Más información en</strong>: <a href="https://www.zaragoza.es/sede/portal/medioambiente/calidad-aire/">https://www.zaragoza.es/sede/portal/medioambiente/calidad-aire/</a></p> <p><a href="https://www.zaragoza.es/sede/servicio/indicadores/f8e42bc6-d9ca-4310-8cd1-7f1fe99b7e6b">Acceso a la ficha descriptiva del conjunto de indicadores</a></p>
Colección de notas del diario Ecos Diarios de la ciudad de Necochea, Buenos Aires, Argentina
<p>Se trata de un dataset de notas periodísticas del diario necochense Ecos Diarios que cubre desde el mes de junio de 2017 hasta septiembre de 2020. Contiene las siguientes variables: fecha, titulo, bajada, nota y link.</p>
Colección de notas del diario La Capital de la ciudad de Mar del Plata, Buenos Aires, Argentina
<p>Se trata de un dataset de notas periodísticas del diario marplatense La Capital que cubre desde el mes de marzo de 2016 hasta junio de 2022. Contiene las siguientes variables: fecha, titulo, bajada, nota y link.</p>
Colección de notas del diario La Nueva de la ciudad de Bahía Blanca, Buenos Aires, Argentina
<p>Se trata de un dataset de notas periodísticas del diario bahiense La Nueva que cubre desde el mes de enero de 2016 hasta junio de 2022. Contiene las siguientes variables: fecha, titulo, bajada, nota y link.</p>
Colección de notas de la Revista Puerto, Mar del Plata, Buenos Aires, Argentina
<p>Se trata de la colección completa de notas de la Revista Puerto, versión digital online, desde el año de inicio (2009) hasta el año 2020. Contiene las siguientes variables: fecha, titulo, bajada, nota, imagen, link.</p>
Data for "Measurement Report: A Multi-Year Study on the Impacts of Chinese New Year Celebrations on Air 1 Quality in Beijing, China."
<p>These are the datasets that have been used for the article "Measurement Report: A Multi-Year Study on the Impacts of Chinese New Year Celebrations on Air 1 Quality in Beijing, China," which is published in the journal <em>Atmospheric Chemistry and Physic</em><em>s</em>, by Foreback et al. (2022).</p>
Numerical and experimental dataset for an air-cooled data center
<p>This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers:</p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. <a href="https://doi.org/10.1016/j.csite.2022.102228">https://doi.org/10.1016/j.csite.2022.102228</a>.</em></p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em></p> <p>All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs.</p> <p> </p> <p><strong><a href="https://doi.org/10.1016/j.csite.2022.102228">data.tar.xz</a>: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">experimentalScenarios.tar.xz:</a> </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">fictiousScenarios.tar.xz</a>: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures for a working scenario of 15.5 kW for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">postProcess.tar.xz</a>: </strong>Numerical results obtained from the validated numerical model.</p>
Tables and data for "Downward Trend in Methane Detected in a Northern Colorado Oil and Gas Production Region Using AIRS Satellite Data"
<p>These are tables and data files for the paper "Downward Trend in Methane Detected in a Northern Colorado Oil and Gas Production Region Using AIRS Satellite Data" submitted to the Journal of Atmospheric Research: Atmospheres</p>
Dataset for "Air-sea interactions on Titan: effect of radiative transfer on the lake evaporation and atmospheric circulation"
<p>These documents are supplements to the "Air-sea interactions on Titan: effect of radiative transfer on the lake evaporation and atmospheric circulation" paper published by the same authors in The Planetary Science Journal in 2022.</p> <p>Are made available:</p> <p>-the Supporting Information document on the performed sensitivity study,<br> "paper_mtWRF_lake_RT_220825_SI.pdf"</p> <p>-the Fortran source code of the radiative transfer module developed for this work,<br> "module_ra_gray.F"</p> <p>-all the netCDF simulation outputs and a list describing their parameters,<br> "run-##.nc.gz"<br> "list_simulations_2D_paper2022_RT_zenodo.pdf"</p> <p>-the Python codes to plot figures from the netCDF output files,<br> "mtwrf_analysis_#D_#.py"</p>
Air quality and noise data in Santo Domingo and Santiago de los Caballeros, Dominican Republic from May 18,2020 to January 26, 2021
<p>Air and noise pollution affect the quality of life of any community. The data presented observes the noise level, eight air quality parameters and three weather parameters. The air quality parameters are carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), nitrogen dioxide (NO2); three particle-matter variables: ultrafine particulate matter (PM1), fine particulate matter (PM2.5), and coarse particulate matter (PM10). The weather parameters are temperature, relative humidity and atmospheric pressure. The empirical measurements were collected every ten or twenty minutes in two cities of the Dominican Republic from May 18th, 2020 to January 26th, 2021. The data can provide insight on the changes in air quality and noise level and can be used to compare with other variables such as traffic conditions. </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.