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3,018 results for “aire”
Evaluation of the influence of rain on air surface temperature measurements
<h2>Description</h2> <p>The dataset is constituted by three .csv files, which contain the measurements performed in an experiment aiming to evaluate the influence of rain on temperature readings. Two devices under tests (DUTs), one naturally ventilated and one artificially ventilated, are compared with a reference system. A .csv file is produced for DUT1, DUT2 and the reference system. Here below the content of each file is briefly described:</p> <ul> <li>Dataset_reference: accurate air temperature measurements obtained using the reference system, which is not affected by rain. The system is constituted by four aspirated thermometers (called Meteo1, Meteo2, Meteo 3, Meteo 4) manufactured at the Danish Technology Institute. The column "PT500" contains instead the rain temperature measurements. The readings are produced using a Fluke Super-DAQ (1586A). </li> <li>Dataset_DUT1: measurements of the naturally ventilated thermometer under an artificially generated rainfall. The readings are produced using the manufacturer datalogger.</li> <li>Dataset_DUT2: measurements of the artificially ventilated thermometer under an artificially generated rainfall. The readings are produced using the manufacturer datalogger.</li> </ul>
5G NR Full Grid Over-the-Air Measurements
<p>This data set is collected for the full resource grid over-the-air measurements of 5G NR downlink tranmission. Some different scenarios including different numerologies, center frequencies, bandwidths and fading are included. Please refer to the PDF file in the folder for the detailed description of the scenarios</p>
Replication Package for: "The Impact of Cartel Dissolution on Prices: Evidence from the Air Cargo Cartel"
<div> <div> <div> <p>This replication package contains an online appendix, data, and code used to generate 4 figures and 2 tables in the main text of the paper "The Impact of Cartel Dissolution on Prices: Evidence from the Air Cargo Cartel" by Douglas C. Turner.</p> </div> </div> </div>
Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015
<p>Components of radon progeny in the air at the Gruvebadet observatory in Ny-Alesund (Svalbard islands, Norway) during the melting and the summer season in 2015. This dataset was obtained decomposing the three components (short-lived, long-lived and near-constant progenies) considering the different decay processes.</p> <p>Raw data expressed in counts per second per cubic meter are presented in the first sheet. Smoothed data are included in the second sheet and meteorological hourly averages are reported in the third one.</p>
Data for "Strong linkage of El Niño-Southern Oscillation to the polar cold air mass in the Northern Hemisphere"
<p>This repository archives codes for analysis and plot presented in Abdillah et al. (2018): "Strong linkage of El Niño-Southern Oscillation to the polar cold air mass in the Northern Hemisphere". The codes are written in GrADS, Octave, and NCL format. </p> <p>The repository also includes a Fortran package for isentropic polar cold air mass diagnosis as in Iwasaki et al. (2014). The package was specifically created by Dr. Y. Kanno.</p> <p>Reference:</p> <p>Abdillah, M. R., Kanno, Y., Iwasaki, T. (2018). Strong linkage of El Niño‐Southern Oscillation to the polar cold air mass in the Northern Hemisphere. <em>Geophysical Research Letters, in press. </em>https://doi.org/10.1029/2018GL077612</p> <p>Iwasaki, T., Shoji, T., Kanno, Y., Sawada, M., Ujiie, M., & Takaya, K. (2014). Isentropic Analysis of Polar Cold Airmass Streams in the Northern Hemispheric Winter. <em>Journal of the Atmospheric Sciences</em>, <em>71</em>(6), 2230–2243. https://doi.org/10.1175/JAS-D-13-058.1</p>
High resolution annual average air pollution concentration maps for the Netherlands
<p>Raster-based air pollution concentration maps for the Netherlands. The dataset consists of air pollution concentration maps for six pollutants (NO2, NO2background, NOx, PM2.5, PM2.5absorbance, PM10), covering the land mass of the Netherlands at 5m spatial resolution. The maps were calculated using the Land Use Regression models from the European Study of Cohorts for Air Pollution Effects (ESCAPE) project. Several Python scripts used for data preparation and the model scripts creating the datasets are included. Use the free 7-Zip to uncompress. Uncompressed size: 78 GiB.</p> <p>A description of concepts, datasets and scripts is given in the manuscript "High resolution annual average air pollution concentration maps for the Netherlands" by Oliver Schmitz, Rob Beelen, Maciej Strak, Gerard Hoek, Ivan Soenario, Bert Brunekreef, Ilonca Vaartjes, Martin J. Dijst, Diederick E. Grobbee, and Derek Karssenberg. <em>Scientific Data</em> 6:190035 (2019). <a href="https://doi.org/10.1038/sdata.2019.35">https://doi.org/10.1038/sdata.2019.35</a></p> <p>The datasets are licensed under a Creative Commons license (CC-BY 4.0). The Python scripts are licensed under the MIT License.</p> <p>Contact: o.schmitz@uu.nl</p>
Data for ''A note on systematic biases in the ocean due to the air-sea flux calculation in coupled models''
<p>Data used to in a JAMES publication.</p> <p> </p> <p>Plotting routines can be found at: https://github.com/RafaelAbel/Coarse_Graining</p> <p>Manuscript DOI: tba</p>
Evaluation data for the Intervention Model for Air Pollution (InMAP) version 1.6.1
<p>This directory contains data for performing InMAP model runs and evaluations. To the extent that any of the data is covered by third party licenses, it is the responsibility of the user to follow the terms of those licenses. A description of the contents of this directory is below:</p> <p>- annual_all_2005.csv: U.S. EPA annual average measured air pollution data for year 2005, downloaded from EPA AirData at http://aqsdr1.epa.gov/aqsweb/aqstmp/airdata/download_files.html. </p> <p>- census2013blckgrp.shp and associated files: US Census Bureau estimates of average population counts for several demographic groups for years 2011-2015. Descriptive and license information regarding these files can be found in census2013blckgrp_README.txt</p> <p>- InMAPData_v1.6.1.gob: InMAP variable grid resolution input data for the continental U.S. year 2005 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command.</p> <p>- InMAPData_v1.2.0.ncf: Regular-grid InMAP input data for the continental U.S. year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command. This file has not changed since version 1.2. Information regarding the WRF-Chem simulations is available in: Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- mortalityRates2013.shp and associated files: Year 2013 all-population, all-cause mortality rate data from the CDC WONDER database (http://wonder.cdc.gov). Descriptive information regarding these files can be found in mortalityRates2013_README.txt</p> <p>- states.shp and related files: U.S. state boundaries for making evaluation maps.</p> <p>- la_test directory: Files with the area surrounding the city of Los Angeles extracted for faster-running tests.</p> <p>- 2005_emissions directory: Anthropogenic emissions from the 2005 U.S. EPA National Emissions Inventory (NEI), processed using the AEP model (https://github.com/ctessum/aep) (files Elevated.shp and GroundLevel.shp), and biogenic and wilfire emissions (file bioFireEmis.shp) calculated following the methods in Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- singleSource directory: Regular-grid InMAP input data for los Angeles for year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command, based on a 9 - 3 - 1 km nested WRF-Chem simulation which only included emissions from a single source in downtown Los Angeles. The directory includes four different InMAPData_*.ncf files, three corresponding to the three WRF-Chem domains and one for a nested InMAP simulation. The directory also contains an inmapEmis.shp shapefile and supporting files that contain emissions matching the emissions used in the WRF-Chem simulation. More information about this simulation can be found in the InMAP model description article.</p> <p>- FuelScenarios directory: This directory contains two subdirectories. "Emissions" contains spatial emissions information corresponding to the emissions scenarios described at doi: 10.1073/pnas.1406853111. "Concentrations" contains changes in pollutant concentrations resulting from WRF-Chem simulations of the emissions scenarios, also described and discussed at doi: 10.1073/pnas.1406853111.</p>
Dataset for publication: "Measuring Losses of an Air-Core Shunt Reactor with an Advanced Loss Measuring System"
<p>Dataset for publication: "Measuring Losses of an Air-Core Shunt Reactor with an Advanced Loss Measuring System". Excel file contains the data for Figures 7, 8, 9 and 10.</p>
Figure 1 in Bioacoustic study of a sound produced with forced air by larvae of Phileurus didymus (Linnaeus) (Coleoptera: Scarabaeidae: Dynastinae: Phileurini)
Figure 1. Phileurus didymus third instar larvae.
Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features
<p>This dataset supports the study titled <em>"Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features"</em>, published in <em>Urban Climate</em> (<a href="https://doi.org/10.1016/j.uclim.2024.102102" target="_new" rel="noopener">DOI: 10.1016/j.uclim.2024.102102</a>).</p> <p> </p> <p><strong>Content Overview:</strong></p> <ul> <li> <p><strong>Building Label Data for Footprint Detection</strong>:</p> <ul> <li><em>Amsterdam_BDG_Label.rar</em></li> <li><em>MiamiDade_BDG_Label.rar</em></li> </ul> <p>These are the label datasets used for training the building detection segmentation models. They have been instrumental in accurately detecting building footprints in Amsterdam.</p> </li> <li> <p><strong>Amsterdam_3D_Buildings.rar</strong>: CityGML file of 3D building models for Amsterdam, derived from LiDAR data and U-Net3+ model.</p> </li> </ul> <ul> <li> <p><strong>Morphological Features.rar</strong>: Contains urban morphological features (in raster format) extracted from LiDAR data used in the study.</p> </li> <li> <p><strong>Training and Test Data for Air Temperature Estimation</strong>:</p> <ul> <li><em>Train_Test_AvgTemp_Amsterdam.rar</em></li> <li><em>Train_Test_MaxTemp_Amsterdam.rar</em></li> <li><em>Train_Test_MinTemp_Amsterdam.rar</em></li> </ul> <p>This dataset includes training and testing data for estimating air temperatures in three scenarios: average daily temperature, minimum daily temperature, and maximum daily temperature for the city of Amsterdam.</p> </li> </ul>
Fig. 1 in Temporal variations of larval digenean assemblages parasitizing Heleobia parchappii (Mollusca: Cochliopidae) in two shallow lakes from the Buenos Aires province, Argentina
Fig. 1. Sampling sites in the Buenos Aires province, Argentina.
Fig. 1 in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina
Fig. 1. Study area showing the sample station.
Recordings of an Air-to-Water Heat Pump
<p>This technical report contains detailed information about anechoic recordings from an air-to-water heat pump system in different operating states. Based on these recordings, a total of 28 stimuli were selected and processed from three different operating states: high-power heating, maximum capacity, and defrost. Additionally, the measurement of the horizontal directivity of the heat pump using 12 microphones is documented in this report. The described data is available under a CC BY 4.0 license and is primarily intended for further scientific use, e.g., in perceptual assessments of heat pumps.</p>
Updated Smoke Exposure Estimate for Indonesian Peatland Fires using a Network of Low-cost PM2.5 sensors and a regional air quality model - Model Simulation Data
<p>WRF-Chem simulated daily mean PM2.5 concentrations for:</p> <p>1) with fires </p> <p>2) without fires</p> <p>simulations. </p>
Updated Smoke Exposure Estimate for Indonesian Peatland Fires using a Network of Low-cost PM2.5 sensors and a regional air quality model - Purple Air data
<p>Daily mean PM2.5 concentrations collected by Purple Air sensors between 2023-08-16 and 2023-12-01. Concentrations have been RH adjusted using the Nilson et al (2022) adjustment. </p>
Air–Sea Coupling Feedbacks over Tropical Instability Waves
<p>This dataset contains a selection of the CROCO-WRF regional coupled model simulation output created and published in the article:</p> <p>Holmes, R., Renault, L., Maillard, L. and Boucharel, J. (2024) Air-sea coupling feedbacks over Tropical Instability Waves, J. Phys. Oceanogr., https://doi.org/10.1175/JPO-D-24-0010.1</p> <p>This dataset contains monthly-averaged output of several key surface variables analysed in the above article. These variables are provided for each of the 5 ensemble members of each of the 4 experiments: 1) the Control, 2) the NoMesoTFB experiment, 3) the NoMesoCFB experiment and 4) the NoCFB experiment. Each of the included tar archives contains all the variables for that experiment. For each experiment, this consists of the following files:</p> <p>croco_out_mon_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean SST (temp), zonal velocity (u), meridional velocity (v) and sea level (zeta).</p> <p>croco_out_mon_hp_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean high-pass (using the longitude filter described in the article) variances of SST (SST_hp_var), zonal velocity (U_hp_var), meridional velocity (V_hp_var), eddy wind work zonal component (high-pass(u)*high-pass(tau_x), EWWU) and eddy wind work meridional component (high-pass(v)*high-pass(tau_y), EWWV). </p> <p>wrf3d_1M_hp_exp**.ncrcat.nc: 5 files, one for each ensemble member, containing monthly mean high-pass (net surface heat flux) * high-pass (SST), computed on the WRF grid using the longitude filter described in the article [QofSST_hp]. This can be used to compute the APE production by surface heat flux anomalies.</p> <p>This is only a subset of the data used in the article, the largest subset of useful variables that fits within the 50GB Zenodo limit. If other variables are of interest, please contact the lead author.</p> <p>An extensive set of analysis scripts is available on github at https://github.com/rmholmes/PAC12_75_cpl-analysis.</p>
Data Supporting "Air-Sea Momentum Exchange with Explicit Wind-Wave-Current Coupling and Effects on Hurricane Structure and Impacts"
<p>This dataset produced the figures for the Air-Sea Momentum Exchange with Explicit Wind-Wave-Current Coupling and Effects on Hurricane Structure and Impacts Manusrcipt.</p>
Data and metadata associated with ice-nucleating particles during the 2022 Arctic Cold Air Outbreak Campaign
<p>Data and metadata associated with analysis of ice-nucleating particle concentrations and aerosol-size distributions measured during the March 2022 Arctic Cold Air Outbreak campaign.</p> <p>Contains INP concentrations and aerosol-size normalisations of these, parametrisations of these, SEM data and metadata and backtrajectory modelling inputs and results.</p>
Resources for "BMF CP 92: Who had no wildlife smoke notifications and knowledge of the air quality rating system?"
<p>The current study is conducted to examine the following research questions:</p> <ul> <li>Who were the people who had no access to wildfire smoke notifications during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho?</li> <li>Who were the people who were not familiar with the air quality rating system?</li> </ul>
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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.