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3,018 results for “aire”
Pediatric Asthma Healthcare Utilization, Viral Testing, and Air Pollution Changes during the COVID-19 Pandemic
<p>Data related to asthma care encounters during the COVID19 pandemic.</p>
Long-term monitoring of gaseous elementary mercury in background air at the polar station Amderma, Russian Arctic
<p>The produced dataset (in MS Excel format) contains time-series of concentrations of gaseous elementary mercury (GEM, thereafter – mercury) in the background air collected at the Amderma polar station near the Amderma settlement of the Russian Arctic (69,72 deg N; 61,62 deg E; Yugor Peninsula, Russia) from 24th June 2001 until 13th February 2013. The concentrations for mercury are given in ng/m^3. Concentrations were measured in the air at every 30 minute interval using Tekran-2537A instrument. After checking quality of recorded values of the mercury concentration, the average of two consecutive measurements in two channels (average 1 hour measurements) are calculated. Data (as time-series) are grouped into three blocks covering different time periods and adjacent locations. First block covers period from 24th June 2001 to 13th February 2004 (when the analyzer was located at a distance of about 9 km from the coastline of the Kara Sea). Second block covers period from 3th April 2005 to 12th June 2010 (when the analyzer was placed at 2.5 km from the coast). Third block covers period from 15th June 2010 to 10th October 2013 (the analyzer was set up at a distance of 200 m from the coastline of the sea). </p>
Emission primarily drives nationwide air quality changes during and after the COVID-19 lockdown in China
<p>Research data includes air pollutant observation data, wildfire data and meteorological data.</p>
A 4.5 year-long record of Svalbard water vapor isotopic composition documents winter air mass origin
<p>Isotopic data from the article in JGR A: A 4.5 year-long record of Svalbard water vapor isotopic composition documents winter air mass origin</p> <p><strong>CLDS_2020_ground_iso_vapor_1h.dat</strong></p> <p><strong>CLDS_2020_zeppelin_iso_vapor_1h.dat </strong></p> <p>first column: date in matlab format</p> <p>second column: humidity in ppmv</p> <p>thrid column: d18O in per mil</p> <p>forth column: dD in per mil</p> <p>fifth column: not to take into account</p> <p><strong>CLDS_2020_iso_precip.dat </strong></p> <p>first column: date in matlab format</p> <p>second column: temperature at noon in degre C</p> <p>thrid column: d18O in per mil</p> <p>forth column: dD in per mil</p> <p>fifth column:type of precip 1: water & 2 : snow & 3 : other (melt, etc.)</p>
Data and GrADS scripts for "Effect of atmospheric circulation on surface air temperature trends in years 1979-2018" (forthcoming in Climate Dynamics)
<p>Data and GrADS scripts associated with "Effect of atmospheric circulation on surface air temperature trends in years 1979-2018", forthcoming in Climate Dynamics.</p> <p>The README file, the scripts and the GrADS data descriptor files are in the file "circulation.zip". Unpacking this with "unzip circulation.zip" creates the directory "circulation" together with the individual files.</p> <p>The three netcdf data files (T_anomalies_ERA5_1979-2018.nc, T_anomalies_circ_1979-2018.nc and T_trends_CMIP5_42mod_1979-2018.nc) must be downloaded to the same "circulation" directory for the GrADS scripts to work.</p> <p>See the README file within "circulation.zip" for further information.</p> <p> </p>
MFS-M-00313 Air temperature at 2m, raised bog-hollow, DS18B20 (temperature logger)
<p>Air temperature at 2m measured in a raised bog ecosystem by DS18B20 (temperature logger in APIK complex), 2018, 30 min frequency, N60.89494 E68.66999, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00006 Air temperature measured at 2m, raised bog-ryam, ROTRONIC HygroClip S3
<p>Air temperature at 2m measured in a raised bog ecosystem (treed bog community) by ROTRONIC HygroClip S3 (temperature logger), 2010-continues, 30 min frequency, several gaps in data, N60.89164 E68.67690, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00004 Air temperature at 2m, raised bog-hollow, DS18B20 (APIK)
<p>Air temperature at 2m measured in a raised bog ecosystem (sphagnum lawn community) by DS18B20 (temperature logger), 2012-continues, 30 and 60 min frequency, several gaps in data, N60.89494 E68.68176, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00007 Air temperature measured at 2m, raised bog-lawn, ROTRONIC HygroClip S3
<p>Air temperature at 2m measured in a raised bog ecosystem (treed bog community) by ROTRONIC HygroClip S3 (temperature logger), 2010-continues, 30 min frequency, several gaps in data, N60.89164 E68.67690, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00303 Air temperature at +2 m, raised bog-ridge, Baro-Diver (DI 500)
<p>Air temperature at 2m measured in a raised bog ecosystem (ridge) by Baro-Diver (DI 500), 2006-2016 (with several breaks) as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00003 Air temperature at 2m, raised bog-ryam, DS18B20 (APIK)
<p>Air temperature at 2m measured in a raised bog ecosystem by DS18B20 (temperature logger), 2012-2018, 30 and 60 min frequency, several gaps in data, N60.89471 E68.68176, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00216 Air temperature at 2m, raised bog (hollow in complex bog), DS18B20 (APIK)
<p>Air temperature at 2m measured in a raised bog ecosystem (sphagnum lawn) by DS18B20 (temperature logger), 2016, 30 min frequency, N60.89325 E68.68311, OTC-wet experimental site, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
MFS-M-00368 Air temperature at 2m, raised eriophorum-sphagnum bog, DS18B20 (APIK)
<p>Air temperature at 2m measured in a raised bog ecosystem (eriophorum-Sphagnum bog) by DS18B20 (temperature logger), 2018-2020, 30 min frequency, N60.89439 E68.68113, OTC-dry experimental site,<br> as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
Additional data for "Air leaks: stapling affects porcine lungs biomechanics"
<p>This document is an extension of the Air leaks: stapling affects porcine lungs biomechanics publication and provide guidelines to analyze the experimental data of the publication. It contains the experimental data acquired by the pressure sensor and the microcontroller for the volume in a text file that can be analyzed with the Matlab code attached. It also has the data used to create the comparative table of the publication as well as an extract of the digital image correlation data for a specimen in CSV files. These data are analyzable with the Python code linked in the article. In addition, a video abstract is available as well as a video of the resection procedure used in the methodology.</p>
An All-sky 1 km Daily Surface Air Temperature Product over Mainland China
<ul> <li>An all-sky daily mean surface air temperature (T<sub>a</sub>) product at 1 km spatial resolution over mainland China for 2003–2019 has been generated mainly from the Moderate Resolution Imaging Spectroradiometer (MODIS) products and the Global Land Data Assimilation System (GLDAS) dataset. Three T<sub>a</sub> estimation models based on random forest were trained using ground measurements from 2384 stations for three different clear-sky and cloudy-sky conditions. The validation results showed that R<sup>2</sup> and root mean square error (RMSE) values of the three models ranged from 0.984 to 0.986 and 1.342 K to 1.440 K, respectively, indicating that this high-resolution product has satisfactory accuracy.</li> <li>The format of the data is tif and a sample data is provided in example.zip. The dataset is stored by year, with 6 *.zip files per year.</li> <li>There is also an all-sky 0.01° daily surface air temperature product over Beijing for 2003–2019 (http://doi.org/10.5281/zenodo.4405123), which is a sub-dataset generated from this dataset for easy and convenient understanding of this dataset. And the sub-dataset has a data volume of only 264MB after compressed.</li> </ul>
Legs in the Air
Public art statue from Lund, Sweden. Lower body raising up from the grass. The very first model I have created. Source: Objaverse 1.0 / Sketchfab
Badge of a pilot of the Naval Air Squadron
ID no.: MLP 914 Museum: Polish Aviation Museum http://muzea.malopolska.pl/en/obiekty/-/a/26873/1124331 Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
Wood stack - open-air museum at Kolbuszowa
A photogrammetry model created in Kolbuszowa's open-air museum showcasing an old, XIX-century village in subcarpathian region. Source: Objaverse 1.0 / Sketchfab
High-resolution air temperature observations near the surface using fiber-optic distributed temperature sensing
<p>Time-lapse animation of air temperature observations near the surface, highlighting wave-like motion in opposite direction of the mean wind. </p> <p> </p>
Aeolotron: the Heidelberg air sea interaction facility
<p>In 1999 the Institut für Umweltphysik at the University of Heidelberg moved into a new building. There a world wide unique experimental facility is available, the Heidelberg Aeolotron. This annular wind/wave facility with 10 m in diameter was built for the investigation of small-scale air-sea interaction processes. Although these processes are controlled by thin boundary layers of about a millimeter thickness on both sides of the interface, they are of importance for the global climate and the global cycling of chemical species. These processes partly control how much energy, heat and climate-relevant gaseous species such as carbon dioxide and methane are exchanged between the atmosphere and the oceans. It is very difficult to study air-sea interaction processes at a water surface agitated by waves. The breakthrough came with imaging optical technique that make various parameters of these processes visible and with digital image processes for an automated quantitative analysis of the image sequences obtained. The Aeolotron is well equipped to apply these novel techniques. It is envisioned that it will attract guest scientists from all over the world and will become a center for experimental research in air-sea interaction for years to come.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.