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.
535
datasets available to search
ShareScore release 0.9.0
Dataset results
535 results for “DUST”
Dust deposition in Red Sea corals
Open the record for dataset details and reuse information.
Data from: Is permanent parasitism reversible? – Critical evidence from early evolution of house dust mites
Open the record for dataset details and reuse information.
Climatological Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MODFDS_CLM_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MODFDS_CLM_GLB_L3 provides level 3 climatological monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Terra (MOD04_L2). The dataset is the climatological monthly mean for each month averaged over 2000 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Analysis of dust samples from the Russian part of the ISS
Our study focuses on the hardiest microorganisms inhabiting the ISS in order to assess their diversity and capabilities to resist certain stresses. We specifically selected dust samples from the Russian modules that were obtained 8-10 years ago and stored since then under sealed conditions on Earth. Targeting long-time survivors and spore-forming microorganisms we assessed consequently the cultivable microbial community of these samples in order to obtain model microbial strains that could help to analyze specific adaptation towards environmental stresses such as desiccation and lack of nutrients. In this study we analyzed these microorganisms with respect to their resistance towards thermal stress and exposure to clinically relevant antibiotics. In addition we assessed the bacterial and archaeal community via molecular methods (NGS sequencing) and compared our new data with the previously derived information from the ISS microbiome.
Standard Deviation of Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MODFDS_SDV_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MODFDS_SDV_GLB_L3 provides level 3 standard deviation of climatological monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Terra (MOD04_L2). The dataset is the standard deviation of climatological monthly mean for each month over 2000 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MYDFDS_MON_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MYDFDS_MON_GLB_L3 provides level 3 monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Aqua (MYD04_L2). The dataset covers the monthly mean from 2003 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Standard Deviation of Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MYDFDS_SDV_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MYDFDS_SDV_GLB_L3 provides level 3 standard deviation of climatological monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Aqua (MYD04_L2). The dataset is the standard deviation of climatological monthly mean for each month over 2003 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
FLEXPART dust aerosol L4 global daily 1 x 1 degrees V1 (DUSTFLEXPART)
This is a global simulation of mineral dust aerosol concentrations and daily deposition (wet+dry) from the FLEX-ible PARTicle (FLEXPART) Lagrangian particle dispersion model version 10.4. The FLEXPART model code are open source and freely available.
Climatological Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MYDFDS_CLM_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MYDFDS_CLM_GLB_L3 provides level 3 climatological monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Aqua (MYD04_L2). The dataset is the climatological monthly mean for each month averaged over 2003 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
ATom: Dominant Role of Mineral Dust in Cirrus Cloud Formation
This dataset provides: (1) In situ dust aerosol concentration measurements over remote tropical Pacific and Atlantic Oceans by NOAA Particle Analysis by Laser Mass Spectrometry (PALMS) airborne single-particle mass spectrometer combined with Aerosol Microphysical Properties (AMP) aerosol size spectrometers. Measurements were made aboard the NASA DC8 aircraft during the four ATom campaigns that occurred from 2016 to 2018 (2) Model output of dust and meteorology from the CESM global transport model extracted at the time and location of the aircraft; (3) Model output of dust, other aerosol, and meteorology from the GEOS global transport model extracted at the time and location of the aircraft; (4) CESM model global output of dust and meteorology for dust emitted by specific source regions; (5) NCEP Global Forecast System forward trajectories of air parcels initiated at the time and location of the aircraft; and (6) The location and properties of cirrus clouds formed along the forward trajectories simulated using a parcel model. These data have been applied to better understand the role of mineral dust in cirrus cloud formation.
Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery V1
The Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery dataset consists of browse only imagery showing dust aerosol optical thickness and wind speed/direction from the Goddard Earth Observing System Model, version 5 (GEOS-5). These data are used to see how the Saharan Air Layer (SAL) affects hurricane development during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environmental and storm-scale internal processes, addressing the controversial role of the SAL in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 11, 2014 and October 5, 2014 at 3-hour intervals in PNG format.
Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MODFDS_MON_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MODFDS_MON_GLB_L3 provides level 3 monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Terra (MOD04_L2). The dataset covers the monthly mean from 2000 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Whole lung transcriptomics of a house dust mite model of mild/moderate asthma
GEO Series GSE132263. Mus musculus. 31 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Gene expression profiling of the effects of organic dust in lung epithelial and THP-1 cells reveals inductive effects on inflammatory mediators [452 expt: THP-1 vs BEAS 2B]
GEO Series GSE73062. Homo sapiens. 12 samples. Type: Expression profiling by array.
Human airway epithelial cell response to LPS and house dust mite antigen
GEO Series GSE8190. Homo sapiens. 250 samples. Type: Expression profiling by array.
Single cell gene expression profile of bronchoalveolar lavage fluid (BALF) cells from Apoa1-/- and Apoa1+/+ mice challenged with LPS and house dust mite
GEO Series GSE234287. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
High-Throughput Analysis of Lung Immune Cells in a Combined Murine Model of Agriculture Dust-Triggered Airway Inflammation with Rheumatoid Arthritis
GEO Series GSE155436. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
MiR-145 antagonist effect in house dust mite model of asthma
GEO Series GSE126610. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing.
Differential gene expression in the skin of dogs sensitized to the house dust mite Dermatophagoides farinae
GEO Series GSE58442. Canis lupus familiaris. 60 samples. Type: Expression profiling by array.
Biological effects of inhaled hydraulic fracturing sand dust in rats
GEO Series GSE148255. Rattus norvegicus. 64 samples. Type: Expression profiling by high throughput sequencing.
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.