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535 results for “DUST”

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zenodo32/100

Uranium isotope constraints on the pre-deposition time of Asian dust to the North Pacific Ocean: Implications for provenance and iron supply

<p>This dataset presents uranium isotope data covering a 300,000-year period retrieved from Ocean Drilling Program site 1209B in the North Pacific Ocean. Additionally, it incorporates uranium-neodymium isotope data sourced from multiple deserts in China, providing a comprehensive reexamination of the origin of dust in the North Pacific region.</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

Dataset for "Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust" published in GeoHealth

<p>Data Repository for:</p> <h2><strong>Physicochemical properties and bioreactivity of sub-10 &micro;m geogenic particles: comparison of volcanic ash and desert dust</strong></h2> <p>Ines Toma&scaron;ek<sup>1,2,3*</sup>, Julia Eychenne<sup>1,2</sup>, David E. Damby<sup>4</sup>, Adrian Hornby<sup>5,6</sup>, Manolis N. Romanias<sup>7</sup>, Severine Moune<sup>1</sup>, Ga&euml;lle Uzu<sup>8</sup>, Federica Schiavi<sup>1</sup>, Maeva Dole<sup>1</sup>, Emmanuel Gard&egrave;s<sup>1</sup>, Mickael Laumonier<sup>1</sup>, Clara Gorce<sup>1</sup>, R&eacute;gine Minet-Quinard<sup>2,9</sup>, Julie Durif<sup>9</sup>, Corinne Belville<sup>2</sup>, Ousmane Traor&eacute;<sup>10,11</sup>, Lo&iuml;c Blanchon<sup>2</sup><sup>&dagger;</sup>, Vincent Sapin<sup>2,9</sup><sup>&dagger;</sup></p> <p><sup>1</sup>Laboratoire Magmas et Volcans (LMV), CNRS, IRD, OPGC, Universit&eacute; Clermont Auvergne, France.</p> <p><sup>2</sup>Institute of Genetic Reproduction and Development (iGReD), Translational Approach to Epithelial Injury and Repair Team, CNRS, INSERM, Universit&eacute; Clermont Auvergne, France.</p> <p><sup>3</sup>Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Etneo, Catania, Italy.</p> <p><sup>4</sup>Volcano Science Center, U.S. Geological Survey (USGS), USA.</p> <p><sup>5</sup>Department of Earth and Atmospheric Sciences, Cornell University, USA.</p> <p><sup>6</sup>Department of Cellular and Molecular Biology, School of Medicine, University of Texas at Tyler, USA.</p> <p><sup>7</sup>Institut Mines-T&eacute;l&eacute;com (IMT) Nord Europe,&nbsp;Centre for Energy and Environment, Universit&eacute; Lille, France.</p> <p><sup>8</sup>Universit&eacute; Grenoble Alpes, IRD, CNRS, INRAE, INP-G, IGE (UMR 5001), France.</p> <p><sup>9</sup>Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Biochemistry and Molecular Genetics Department, France.</p> <p><sup>10</sup>Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Infection Control Department, France.</p> <p><sup>11</sup>Laboratoire Microorganismes: G&eacute;nome Environnement (LMGE), UMR, CNRS, Universit&eacute; Clermont Auvergne, France.</p> <p><sup>&dagger;</sup>These authors share the last authorship.</p> <p><sup>*</sup>Correspondence.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Remote-sensing detectability of airborne Arctic dust - code

<p>The Matlab codes employed in the generation of the figures of the paper "Remote-sensing detectability of airborne Arctic dust", submitted to Atmospheric Chemistry and Physics (https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1057/).</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

In situ characterization of dust storms and their snow darkening effect over Himalayas

<p>The dataset provided here pertains to the Mukteshwar region. Users are requested to acknowledge the data curators before utilizing it.</p>

opencc-by-4.0Dec 2024View details →
zenodo32/100

Minimising feeding behaviour interference: a Hay-Shaker device to assess dust exposure in horses

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo32/100

Impacts of dry deposition processes with resolved dust particle sizes on simulating the Martian Dust

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →
zenodo32/100

A 12,800-year-old Cometary Dust, Spherule, and Platinum Datum Layer Recorded in Multiple Cores from Baffin: Supplementary Tables

<p>Final Supplementary Tables for: <strong><span><span>&nbsp;</span></span><span>A 12,800-year-old Cometary Dust, Spherule, and Platinum Datum Layer Recorded in Multiple Cores from Baffin </span></strong></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Emission and Deposition of Atmospheric Dust from Continental Shelf of the East China Sea: Evidence from Shengshan Island Loess

<p>The dataset for supporting the paper &quot;Emission and Deposition of Atmospheric Dust from Continental Shelf of the East China Sea: Evidence from Shengshan Island Loess&quot;.</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Generation, Emission, Transportation, and Deposition of Aeolian Dust from Loess Deposits in the Southern China

<p>Datasets support the paper &quot;Generation, Emission, Transportation, and Deposition of Aeolian Dust from Loess Deposits in the Southern China&quot;.</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Lidar ratio–depolarization ratio relations of atmospheric dust aerosols: the T-matrix modeling and high spectral resolution polarization lidar observations

<p><strong>Data for publication:</strong></p> <p><em><strong>Lidar ratio&ndash;depolarization ratio relations of atmospheric dust aerosols: the T-matrix modeling and high spectral resolution polarization lidar observations.</strong></em></p> <p>Mail:</p> <p>sato@riam.kyushu-u.ac.jp&nbsp;</p> <p><a href="mailto:bilei@zju.edu.cn">bilei@zju.edu.cn</a></p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Analytical prediction of scattering properties of spheroidal dust particles with machine learning

<p>This respository includes the data used in the paper &quot;Analytical prediction of scattering properties of spheroidal dust particles with machine learning&quot;.</p> <ol> <li>&quot;alldata.zip&quot; represents the extinction and absorption coefficients, and phase matrix elements of spheroids dust particles&nbsp;for both training and test&nbsp;data. These data comes from the Oleg Dubovik&#39;s group:&nbsp;<a href="https://www.grasp-open.com/products/spheroid-package-release">https://www.grasp-open.com/products/spheroid-package-release</a>/.</li> <li>&quot;<a href="/api/files/7c2cdcdd-dc47-4a19-adc8-59c944e76e54/tmat_Jacall_norm_intg.pickle?versionId=59294030-26a8-4683-9b26-8e8584c2b44b">tmat_Jacall_norm_intg.pickle</a>&quot; contains the Jacobians simulated from linearized T-matrix model used for training in the paper and&nbsp;&quot;<a href="/api/files/7c2cdcdd-dc47-4a19-adc8-59c944e76e54/tmat_fine_n_intg.pickle?versionId=3d20954d-4318-40bb-a900-a93627915c2e">tmat_fine_n_intg.pickle</a>&quot; involves Jacobians used for testing.</li> </ol>

opencc-by-4.0Dec 2021View details →
zenodo32/100

Effect of the 2018 Martian global dust storm on the main species in the upper ionosphere: observations and simulations

<p>This dataset contains the MCD outputs and photochemical calculation results for&nbsp;the manuscript &quot;Effect of the 2018 Martian global dust storm on the main species in the upper ionosphere: observations and simulations&quot;</p>

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

ground-based air quality measurements during the 2021 spring super dust storms

<p>The attachment stores the hourly ground-based PM10 concentration measurements from the China air quality monitoring network during the 2021 spring super dust storms.&nbsp;&nbsp;</p>

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

Dataset for "Observational evidence for the non-suppression effect of atmospheric chemical modification on the ice nucleation activity of East Asian dust"

<p>These are datasets for the manuscript titled &quot;Observational evidence for the non-suppression effect of atmospheric chemical modification on the ice nucleation activity of East Asian dust&quot;.</p>

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

Dataset related to the study "Black carbon and dust alter the response of mountain snow cover under climate change"

<p>This dataset contains the data of the manuscript &quot;Black carbon and dust alter the response of mountain snow cover under climate change&quot; under publication in Nature Communication. It is made of a dataset and information to reproduce the simulations presented in the study.</p>

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

Data for "Where does the dust deposited over the Sierra Nevada snow come from?"

<p>This is the data prepared for submission of the manuscript &quot;<strong>Where does the dust deposited over the Sierra Nevada snow come from?</strong>&quot;. Three folders&nbsp;are included:&nbsp;1) The WRF-Chem simulation results with 4 SOM clustering; 2) The MERRA-2 reanalyses with 4 SOM clustering&nbsp;3) The ERA5 reanalyses for wind and geopotential height</p>

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

Supplementary data to "Variability of Antenna Signals from Dust Impacts"

<p>Supplementary data to &quot;Variability of Antenna Signals from Dust Impacts&quot;</p>

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

Data in "The uncertainties in the laboratory-measured short-wave refractive indices of mineral dust aerosols and the derived optical properties: A theoretical assessment"

<p>This is the data for publication "The uncertainties in the laboratory-measured short-wave refractive indices of mineral dust aerosols and the derived optical properties: A theoretical assessment"</p> <p>Version 1: data</p> <p>Version 2: rename the data files and add a readme file</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Characterizing Inter-Annual/Seasonal Dust Deposition and Removal on Mars Using Thermal Emission Imaging System (THEMIS) Infrared Data

<p>Included in the zipped data file are two subfolders that contain the following:</p> <ol> <li>KRC thermal model look up table data used in the work</li> <li>Data for figures within the paper</li> </ol> <p>Each subfolder includes a text file with helpful information for interpreting the data.</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Water, Dust, and Environmental Justice: The Case of Agricultural Water Diversions - Data

<p>Replication files and code for paper "Water, Dust, and Environmental Justice: The Case of Agricultural Water Diversions".&nbsp;</p>

opencc-by-4.0Feb 2024View details →

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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.

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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.

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.

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

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