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ShareScore release 0.9.0
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26 results for “NH4”
Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019 v1
The Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of the chemical concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and at a high resolution (1km x 1km grid cells) in non-urban areas for the years 2000 to 2019. Particulate matter with an aerodynamic diameter less than 2.5 �m (PM2.5) increases mortality and morbidity. PM2.5 is composed of a mixture of chemical components that vary across space and time. Due to limited hyperlocal data availability, less is known about health risks of PM2.5 components, their U.S.-wide exposure disparities, or which species are driving the biggest intra-urban changes in PM2.5 mass. The national super-learned models were developed across the U.S. for hyperlocal estimation of annual mean elemental carbon, ammonium, nitrate, organic carbon, and sulfate concentrations across 3,535 urban areas at a 50m spatial resolution, and at a 1km resolution for non-urban areas from 2000 to 2019. Using Machine-Learning models (ML), combined with either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA) or Super-Learning (SL) and approximately 82 billion predictions across 20 years, hyperlocal super-learned PM2.5 components are now available for further research. The overall R-squared values of 10-fold cross validated models ranged from 0.910 to 0.970 on the training sets for these components, while on the test sets the R-squared values ranged from 0.860 to 0.960. Remarkable spatiotemporal intra-urban and inter-urban variabilities were found in PM2.5 components. The Coordinate Reference System (CRS) for predictions is the World Geodetic System 1984 (WGS84) and the Units for the PM2.5 Components are �g/m^3. The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python.
Bacillus velezensis LG37: Transcriptome profiling and functional verification of GlnK and NmtA in ammonia (NH4+) assimilation
GEO Series GSE136178. Bacillus velezensis. 6 samples. Type: Expression profiling by high throughput sequencing.
Comparison of C. glutamicum growing with GABA as carbon source in the presence or absence of (NH4)2SO4.
GEO Series GSE138827. Escherichia coli; Corynebacterium glutamicum; Bacillus subtilis subsp. subtilis str. 168; Pseudomonas putida; Gluconobacter oxydans. 4 samples. Type: Expression profiling by array.
Expression analysis from glass-bead cultures of Paxillus involutus (ATCC200175) after amendments of nitrogen (+/-NH4) to substrate followed by incubation for different periods of time
GEO Series GSE47839. Paxillus involutus ATCC 200175; Paxillus involutus. 12 samples. Type: Expression profiling by array.
Regulation of nitrogen acquisition (NO3-, NH4+ et N2) by nitrogen status
GEO Series GSE9818. Sinorhizobium meliloti; Medicago sativa; Medicago truncatula. 26 samples. Type: Expression profiling by array.
The transcriptome of Serratia sp. ZM under different concentrations of (NH4)2SO4
GEO Series GSE72965. Serratia sp. ZM. 2 samples. Type: Expression profiling by high throughput sequencing.
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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.
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DANDI Archive for NWB datasets
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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.
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.