Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,018
datasets available to search
ShareScore release 0.9.0
Dataset results
3,018 results for “aire”
Data and code for firn air content emulator
<p>This data corresponds to the paper: "Future (2015-2100) Antarctic-wide ice-shelf firn air depletion from a statistical firn emulator".</p> <p>In this new version we share the data and code used in this manuscript.</p> <p>Emulators.zip contains the models used to calculate FAC. The ‘weights’ files are used to standardize data based on the training dataset.</p> <p>fac_tables.zip contains csv files of CMIP6 model min, median, and max FAC for each scenario for each ice shelf.</p> <p>masks.zip contains ice shelf masks and other useful files used in the analysis</p> <p>figures.zip contains code and data used to make figures</p> <p>code.zip contains code used to create and run emulator</p> <p>SNOWPACK_FAC.zip contains FAC results from the SNOWPACK model as netcdf files for each emission scenario</p> <p>ERA5.zip contains the ERA5 climate output used for this analysis</p> <p>ssp***<em>_fac_*</em>.nc.zip are the FAC emulator results using the TP1 ice lens thickness-permeability relationship</p> <p>ssp***_allCMIP6.nc.zip is the CMIP6 climate output from each of the 34 models used in this study. </p>
Factors influencing the residual air saturation during consecutive imbibition processes in an air-water two-phase fine sandy medium
Open the record for dataset details and reuse information.
A thermal performance curve perspective explains decades of disagreements over how air temperature affects the flight metabolism of honey bees
<p>While multiple studies have shown that honey bees and some other flying insects lower their flight metabolic rates when flying at high air temperatures, critics have suggested such patterns result from poor experimental methods as, theoretically, air temperature should not appreciably affect aerodynamic force requirements. Here, we show that apparently contradictory studies can be reconciled by considering the thermal performance curve of flight muscle. We show that prior studies that found no effects of air temperature on flight metabolism of honey bees achieved flight muscle temperatures that were near or on equal, opposite sides of the thermal performance curve. Honey bees vary their wing kinematics and metabolic heat production to thermoregulate, and how air temperature affects the flight metabolic rate of honey bees <em>is</em> predictable using a non-linear thermal performance perspective of honey bee flight muscle.</p>
Observational dataset for "Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm-Resolving Simulations"
<p>This observational dataset include the DOE ARM ground based observations and satellite for the paper titled “Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm-Resolving Simulations” on GRL.</p> <p>For the original data source, all ARM observational data sets used in this study are publicly available from the ARM data archive site (https://adc.arm.gov/discovery/#/results/iopShortName::amf2019comble/datastream::anxarmbeatmM1.c1/datastream::anxarmbecldradM1.c1/datastream::anxarsclkazr1kolliasM1.c0). MODIS MOD06 L2 cloud product are publicly available from (https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD06 L2, DOI:10.5067/MODIS/MOD06 L2.061).</p> <p>CloudSat products can be ordered from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/order/). To download CloudSat data, a new user must first create an account by filling out the signup form (https://www.cloudsat.cira.colostate.edu/accounts/signup/).</p>
All-sky daily max ambient air temperature datasets at 1-km resolution from 2003-2012 in China
<ul> <li>All-sky daily maximum, minimum, and mean ambient air temperature datasets at 1-km resolution over two decades (2003-2022) in China have been generated by the four-dimensional spatiotemporal deep forest (4D-STDF) model. The overall RMSE values for estimates are 1.49°C, 1.53°C, and 1.18°C.</li> <li>These datasets cover mainland China, featuring high spatial resolution (1km), long temporal sequences (2003-2022), and increased accuracy. They are presented in GeoTIFF format with WGS84 projection, with data measured in 0.1 degrees Celsius (°C).</li> <li>These datasets have divided for six parts to upload Zenodo, the links as follow: <ol> <li>Daily Tmax from the years 2003-2012: <a href="https://doi.org/10.5281/zenodo.10983219">https://doi.org/10.5281/zenodo.10983219</a>,</li> <li>Daily Tmax from the years 2013-2022: <a href="https://doi.org/10.5281/zenodo.10983207">https://doi.org/10.5281/zenodo.10983207</a>,</li> <li>Daily Tmin from the years 2003-2012: <a href="https://doi.org/10.5281/zenodo.10951765">https://doi.org/10.5281/zenodo.10951765</a>,</li> <li>Daily Tmin from the years 2013-2022: <a href="https://doi.org/10.5281/zenodo.10983199">https://doi.org/10.5281/zenodo.10983199</a>,</li> <li>Daily Tmean from the years 2003-2012: <a href="https://doi.org/10.5281/zenodo.10947354">https://doi.org/10.5281/zenodo.10947354</a>,</li> <li>Daily Tmean from the years 2013-2022: <a href="https://doi.org/10.5281/zenodo.10983177">https://doi.org/10.5281/zenodo.10983177</a></li> </ol> </li> <li>This dataset is daily Tmax from 2003-2012 (<a href="https://doi.org/10.5281/zenodo.10983219">https://doi.org/10.5281/zenodo.10983219</a>).</li> </ul>
CONSTRUCTION OF A PASSIVE SOLAR THERMAL AIR HEATER USING ALUMINUM CANS
<p><strong>Abstract:</strong></p> <p>The technology of solar air heating system is an emerging field in Nigeria. Due to the epileptic power supply in Nigeria, alternative energy sources are beings ought. This project involves the construction of a portable solar air heater. Theconstruction of the solar air heater was done using relevant equations to size the major components of the system. The materials for the components were then selected with consideration to the market availability and cost of the materials.</p> <p>The system was then constructed using the selected materials, and the performance was also studied. The system consists of a flat-plate collector with a single layer of glass on top, and an absorber plate made of aluminium soda cans.</p> <p>The system was tested for three days, and the highest outlet temperature recorded was 48°C. The highest irradiance recorded was 925 W/m² on the first day of testing. The highest efficiency recorded from the system was 41% on the first day of testing.</p> <p> </p> <p><strong>Keywords</strong>: Solar energy, Solar air heater, Aluminium soda cans. </p>
Model Data and Diagnostics used for the Age of Air Diagnostic Paper
<p>Model data and derived diagnostics used in the Age of Air paper, from Unified Model output. © Crown Copyright, Met Office</p>
MuAP Spatial distribution of various air pollutants in China at 1 km(NO2 2021-01-01:2023-12-31) (Version1.1)
<p>MuAP Spatial distribution of various air pollutants in China at 1 km(NO2)</p> <p>Multiple air pollutions dataset (MuAP) </p> <p>Time frame: 2021-2023<br>Area: Most of China<br>Resolution: about 1km<br>File storage format: .xz and GeoTIFF<br>Spatial projection: WGS84<br>Daily file name: year_doy.tif (Daily MuAP data volume exceeds Zenodo platform limits. Please contact the author at fjcyfeng@qq.com.)</p> <p>Monthly file name: year_month.tif</p> <p>Yearly file name: year_month.tif</p> <p>Unit: Please divide by 10 when using. (ug/m3)</p> <p>When you download and use our data, please cite:</p> <ol> <li>Chi, Y., Zhan, Y., Wang, K., and Ye, H.: Sequential spatiotemporal distribution of PM<sub>2.5</sub>, SO<sub>2</sub> and Ozone in China from 2015 to 2020, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-76, in review, 2023.</li> <li>Chi, Y., Zhan, Y., Wang, K., & Ye, H. (2023). Spatial Distribution of Multiple Atmospheric Pollutants in China from 2015 to 2020. Remote Sensing, 15(24). doi:10.3390/rs15245705</li> </ol> <p>Note: The MuAP for 2015-2020 can be obtained by:</p> <p>1.</p> <ul> <li>PM2.5:https://zenodo.org/records/8093749</li> <li>O3:https://zenodo.org/records/8180923</li> <li>SO2:https://zenodo.org/records/8093749</li> <li>NO2:Please contact the author at fjcyfeng@qq.com.</li> </ul> <p> </p> <p>2. Daily MuAP data volume exceeds Zenodo platform limits. Please contact the author at fjcyfeng@qq.com.</p> <p> </p>
Dataset for Sulfidation of air-stable iron nanoparticles: A novel strategy how to boost their reactivity demonstrated on Cr(VI) reduction
<p><strong>This repository contains data from the manuscript:</strong></p> <p>Víchová, V., Oborná, J. K., Petr, M., Soukupová, J., Pechancová, R., Pluháček, T., & Filip, J. (2024). Sulfidation of air-stable iron nanoparticles: A novel strategy how to boost their reactivity demonstrated on Cr (VI) reduction. <em>Journal of Water Process Engineering</em>, <em>67</em>, 106246. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jwpe.2024.106246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jwpe.2024.106246</a></p> <p><strong>Abstract of the manuscript:</strong></p> <p>Sulfidated zero-valent iron nanoparticles (S-nZVI) have been extensively studied as environmentally promising<br>alternative material, which enables reduction of variety of extremely dangerous pollutants directly in the<br>environment. However, synthesis and manipulation with these extremely reactive/pyrophoric nZVI particles<br>represents a challenge and requires special precautions. In this study, we report a synthesis of S-nZVI from airstable<br>core-shell nZVI, which reactivity with contaminants and properties are comparable with the commonly<br>prepared S-nZVI particles (where the precursor was bare/pyrophoric nZVI particles). The undeniable novelty<br>dwells in the simplicity of the synthetic process, which ensures consequential safe and easy handling, manipulation,<br>and application of S-nZVI particles. This material, especially highly effective against halogenated organic<br>compounds and heavy metals, was characterized in detail and its advanced characteristics were evaluated in the<br>process of hexavalent chromium (Cr(VI)) reduction from model aqueous solutions and polluted groundwater.<br>The results offer valuable insights into the preparation of a novel nanomaterial with high application potential in<br>the effective degradation of heavy metals in polluted water. Overall, the novel way prepared S-nZVI particles,<br>designed for the potential large-scale production, eliminates the drawbacks of S-nZVI synthesized from bare nZVI<br>particles and offers the effective material suitable for any on-site application.</p>
Urban Air Pollution and Child Neurodevelopmental Conditions: A Systematic Bibliometric Review
<p>The dataset for this research was compiled through an advanced PubMed search targeting publications from a one-year period, with keywords focused on air pollution, neurodevelopment, and associated disorders. From an initial pool of 450 publications, filtering based on the co-occurrence of relevant keywords reduced this to approximately 44 papers. The analysis was conducted using VOSviewer to generate a visual map of relationships between air pollution and child neurodevelopment. To ensure consistency, a thesaurus was applied to standardize terminology, refining the final network for a detailed examination of keyword clusters and their interactions. For those seeking to replicate this process, Appendix A provides an in-depth, step-by-step methodology for building the networks and utilizing the data files to recreate the visualizations.</p>
EEAR-Clim: A high density observational dataset of daily precipitation and air temperature for the Extended European Alpine Region
<p>Data, metadata and code for paper published in Earth System Science Data:</p> <p>A high density observational dataset of daily precipitation and air temperature for the Extended Alpine Region</p> <p> </p> <p><strong>Code </strong>(working copy all written in R statistical software): scripts.zip</p> <ul> <li>to read and process data in from different sources</li> <li>to perform intra and inter-stations quality control</li> <li>to perform break detection and homogenization</li> <li>to read results of quality control and homogenization</li> </ul> <p><strong>Data</strong>:</p> <ul> <li>Daily time series of air temperature (mean, minimum and maximum) and precipitation as .zip files, grouped by data provider.</li> <li>Information on column content is provided in separate files "data_readme.txt"</li> <li>about 10000 stations from Italy, France, Switzerland, Austria, Germany, Slovenia, Croatia, Bosnia-Herzegovina, Czech Republic, Slovakia and Hungary</li> <li>Meta data (code, name, longitude, latitude, elevation, measurements availability for each variable, starting date, ending date) in "metadata.zip", including a file for each data provider</li> <li>If you <strong>use the data you agree to adhere to the respective data provider's terms</strong> as listed in "License.pdf"</li> <li>The license terms especially (and additionally to any other terms of the single data providers) include: <strong>Attribution</strong> — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. [from <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a>] </li> </ul> <p> </p> <p><strong>Version history:</strong></p> <p>v1.0: initial upload</p> <p>v2.0: update of data policies; addition of France and Croatia time series</p>
Resources for "BMF CP 91: Socio-demographic factors, illness experience, severity perception, and sensitivity to air quality index"
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>What are the factors associated with the sensitivity towards the air quality rating index to reduce outdoor activities?</span></li> </ul>
Impact on energy and air quality of connected and autonomous vehicles in an urban context
<p>Despite numerous studies related to autonomous vehicles and connected vehicles (CAVs) and their impact on the economy or on traffic performance (eg, flow management, accidents), there are not many studies that relate these benefits to the environmental component. In this context, the objective of this work consisted in the integrated assessment of the impacts of CAVs on traffic performance, atmospheric emissions CO<sub>2</sub> and NO<sub>x, </sub>and air quality.</p> <p>To this end, a roundabout in the city of Aveiro was selected as a case study, and different scenarios were created: base scenario, considering the current typology of vehicles (conventional); scenario 2, considering defensive behavior CAVs; scenario 3, considering assertive behavior CAVs; and scenario 1, considering all types of vehicles mentioned above. To ensure a comprehensive analysis, all scenarios were evaluated for a period of 24 hours, corresponding to the period of the experimental campaign carried out, and a cascade of models was applied.</p> <p>First, the PTV VISSIM model was applied which allowed, configuring, calibrating and validating the network under study for an evaluation of the traffic performance. Second, the VSP model was applied to estimate atmospheric emissions, Finally, the CFD VADIS model was applied to air quality assessment.</p> <p>The results obtained allowed us to conclude that the introduction of CAVs, promotes longer travel times, especially during times of higher traffic, and an increase in emissions, mainly by the CAVs with defensive behavior. In terms of air quality, there were large differences in terms of NO<sub>2</sub> concentrations, with the CAVs promoting a degradation of air quality, especially during peak traffic hours.</p>
AIR demo videos
<p>Aerial drone video material for testing <a href="https://github.com/Accenture/AIR">the AIR detector</a>.</p>
Bluestar air condition dealer in Trivandrum
<p><strong>We ‘Unique’ is an appliance store located in Trivandrum, Kerala with a variety of products from Blue Star, Aquaguard, Western. Etc. Blue Stars is a leading air conditioning company. And a commercial refrigeration company in India. We are the Best <a href="https://uniqueconnect.in/air-conditioner-unique-connect/">Bluestar air condition dealer in Trivandrum. </a>We provide you with attractive design and high-quality products. </strong></p>
Data for Minimum air temperature modeling using RS data
<p>Data for Minimum air temperature modeling using RS data</p>
Air-quality data simulated over Great Paris area
<p>High local simulated concentrations of NO2, PM10, O3 and PM2.5 over Paris at surface for selected dates for 2018.</p>
ULTRA: Ultimate Rootkit Detection over the Air
<p>Data used in the paper <em><a href="https://dl.acm.org/doi/10.1145/3545948.3545962">"ULTRA: Ultimate Rootkit Detection over the Air"</a> </em>presented at RAID-2022. The archive "traces.tar.gz" contains the following directories:</p> <ul> <li> <p><strong>traces_ARM: </strong>extracted bandwidth of spectrograms from ARM EM-traces, </p> </li> <li> <p><strong>traces_MIPS: </strong>extracted bandwidth of spectrograms from MIPS EM-traces (usual probe: H-Field Langer RF-U 5-2 and position 0),</p> </li> <li> <p><strong>traces_MIPS_relocation: </strong>extracted bandwidth of spectrograms from ARM EM-traces (usual probe: H-Field Langer RF-U 5-2 and position 1),</p> </li> <li> <p><strong>traces_MIPS_relocation_cheap: </strong>extracted bandwidth of spectrograms from ARM EM-traces (hand crafted probe and position 2),<br> </p> </li> </ul> <p>The code used for the analysis of this data is available <a href="https://gitlab.com/ultra-RK/ultra">here</a>.</p>
Evaluation data for "Global, high-resolution, reduced-complexity air quality modeling for PM2.5 using InMAP (Intervention Model for Air Pollution)"
<p>This zip file contains data for performing Global 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>measurements.csv<br> Vetted global dataset of ground-level annual-average measurements of total PM2.5 and species (pNO3, pSO4, pNH4) compiled from monitoring networks, used for model performance evaluation. Data sources are: World Health Organization (Global), European Environment Agency (Europe), National Air Pollution Surveillance Program (Canada), Environmental Protection Agency (United States of America), Central Pollution Control Board (India), Australian Government State of the Environment (Australia), and Acid Deposition Monitoring Network In East Asia (EANET) (East Asia).</p> <p>population directory<br> Population count data is from the Gridded Population of The World (v4.10) projected to year 2020. The data is in 15x15 arcminute grids, except for in grid cells where the population is above 80,000, where the population data is 30x30 arcseconds.</p> <p>GlobalInMAPData_v1.ncf<br> Regular-grid Global InMAP input data for the year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from GEOS-Chem v.11-01 simulation outputs with the 'inmap preproc' command.</p> <p>global_inmap_004x003_v1.1.0.gob<br> Global InMAP variable grid resolution input data for coords for year 2016 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command using GlobalInMAPData_v1.ncf and population.shp.</p> <p>2016_emissions directory<br> Total PM2.5 and precursor emissions to arrive at total PM2.5 concentrations from Global InMAP. Units for polygonized emissions inputs (shapefiles) are short (US) tons/yr, and units for gridded emissions inputs (NetCDF files) are kg/yr.</p> <p>global_emission_changes directory<br> nh3.nc, nox.nc, and sox.nc are gridded emissions for changes in inorganic precursors for comparing Global InMAP and GEOS-Chem. Units are kg/yr. NH4-gc.nc, NIT-gc.nc, and SO4-gc.nc are results for changes in concentrations arising from these changes in emissions for 3 months, 1 month, and 2 months.</p> <p>usa_emission_changes directory<br> Emissions for comparing Global InMAP and US InMAP (described in Tessum et al., 2017).<br> Emissions are derived using the United States National Emissions Inventory (NEI) 2014v.1, processed exactly as in Thakrar et al., 2020.<br> Emissions are coal-powered electricity generation (NEI Source Classification Code: 10100212) and gasoline passenger vehicles (NEI Source Classification Code: 2201210080).<br> Units are ug/s.</p> <p>Tessum, C.W.; Hill, J.D.; Marshall, J.D. InMAP: A model for air pollution interventions. PloS One 2017, 12 (4) e0176131.<br> Thakrar, S.K.; Balasubramanian, S.; Adams, P.J.; Azevedo, I.M.; Muller, N.Z.; Pandis, S.N.; Polasky, S.; Pope III, C.A.; Robinson, A.L.; Apte, J.S.; Tessum, C.W.; Marshall, J.D.; Hill; J.D. Reducing mortality from air pollution in the United States by targeting specific emission sources. Environmental Science & Technology Letters 2020, 7(9), pp.639-645.<br> Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H41V5BX1.</p>
Influence of a portable air cleaner location on the exposure to exhaled contaminants in hospital rooms
<p>Indoor environments with a deficient mechanical ventilation, could increase exposure to exhaled contaminants. This situation is critical in hospital environments such as hospital rooms. In this situation, a portable air cleaner system based on high efficiency air filters maybe a solution by itself or combined with mechanical ventilation systems to reduce the concentration of aerosols in hospital room environments.</p> <p>In this study the influence of the location of a portable air cleaner based on high efficiency air filters on the exposure to exhaled contaminants of a health worker close to a patient lying on a bed was investigated.</p> <p>The experimental setup consists of a hospital room (40.84 m<sup>3</sup>) with two breathing thermal manikins, BTM. One BTM was lying on the bed (patient) and the other BTM was stand up near the bed (health worker). Each BTM has its own independent breathing system with the capability of performing different breathing flows. Both BTM inhale and exhale through the mouth with a respiration frequency of 17.90 min-1 (inhalation) and 16.43 min-1 (exhalation). Both has minute volume 9.46 (l/min) and tidal volume 0.55 l. The BTM lying on a bed, simulated the source of exhaled contaminants and exhales particles sized 0.57-0.76 µm.</p> <p>A total air flow rate of 150 m<sup>3</sup>/h (3.67 ACH) was used in all experimental tests. The total air flow rate was generated only by the air cleaner, only by the ventilation system or using a combination of the air cleaner and the ventilation system. The concentration of particles was measured in the inhalation of the standing BTM close to bed, and in other points of the room to analyse the influence of air cleaner location on the exposure to airborne contaminants.</p> <p>The results suggest that the air diffusion plays an important role in the exposure to exhaled contaminants in a hospital room. In these indoor environments, low values in the exposure to exhaled contaminants can be obtained using a combination of a portable air cleaner located near the source of contaminants and the ventilation system or using only 100% air flow rate in the ventilation system.</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.