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The combination of air quality (AQ) data from satellites and low-cost sensor systems, along with output from AQ models, have the potential to augment high-quality, regulatory-grade data in countries with in situ monitoring networks and provide much needed AQ information in countries without them, including Low and Moderate Income Countries (LMICs). We demonstrate the potential of free and publicly available USA National Aeronautics and Space Administration (NASA) resources, which include capacity building activities, satellite data, and global AQ forecasts, to provide cost-effective, and reliable AQ information to health and AQ professionals around the world. We provide illustrative case studies that highlight how global AQ forecasts along with satellite data may be used to characterize AQ on urban to regional scales, including to quantify pollution concentrations, identify pollution sources, and track the long-range transport of pollution. We also provide recommendations to data product developers to facilitate and broaden usage of NASA resources by health and AQ stakeholders.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456713 | PMC |
http://dx.doi.org/10.1029/2021GH000451 | DOI Listing |
Bioscience
September 2025
School of the Environment, Centre for Biodiversity and Conservation Science of the University of Queensland, Commonwealth Scientific and Industrial Research Organization, Environment, Brisbane, Queensland, Austalia.
Plankton, a diverse group of aquatic organisms, make Earth livable, regulate aquatic life, and provide benefits to human societies such as access to clean water, food security, and well-being. They also support economies and inspire biotechnological innovations. This article aims to raise awareness of the value of plankton to humanity and serves as an informative guide for aquatic professionals, policymakers, and anyone interested in plankton.
View Article and Find Full Text PDFFront Microbiol
August 2025
Amentum Space Exploration Division, Huntsville, AL, United States.
Introduction: Microorganisms can have major impacts on the success of NASA's missions, including the integrity of materials, the protection of extraterrestrial environments, the reliability of scientific results, and maintenance of crew health. Robust cleaning and sterilization protocols for spacecraft and associated environments are currently in place in NASA facilities, but microbial contamination should be further controlled and its impact on NASA's missions and science must be minimized. To address this, air and surfaces across cleanrooms and uncontrolled spaces at the Marshall Space Flight Center were sampled and microbial burden and diversity were analyzed.
View Article and Find Full Text PDFAppl Environ Microbiol
September 2025
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, Montana, USA.
Unlabelled: Microbial mats inhabiting extreme environments have been studied as modern analogs of stromatolites. Mats in Octopus Spring and Mushroom Spring, Yellowstone National Park, are predominated by unicellular photoautotrophic cyanobacteria ( spp.), which are thought to cross-feed filamentous photoheterotrophic bacteria (mainly spp.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Applied Physics Group, NASA Ames Research Center, Moffett Field, CA 94035.
Variational quantum eigensolvers are touted as a near-term algorithm capable of impacting many applications. However, the potential has not yet been realized, with few claims of quantum advantage and high resource estimates, especially due to the need for optimization in the presence of noise. Finding algorithms and methods to improve convergence is important to accelerate the capabilities of near-term hardware for variational quantum eigensolver or more broad applications of hybrid methods in which optimization is required.
View Article and Find Full Text PDFSci Data
August 2025
Permafrost Research Section, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 14473, Potsdam, Germany.
Retrogressive Thaw Slumps (RTS) are widespread mass-wasting hillslope failures triggered by thawing permafrost. While regional studies have provided insights into the spatial distribution and dynamics of RTS, a consistent and unbiased quantification and monitoring remains unsolved at pan-arctic scales. We present the Database of AI-detected Arctic RTS footprints (DARTS), comprising ~43,000 individual footprints of active RTS or active areas within larger RTS landforms.
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