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499
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ShareScore release 0.9.0
Dataset results
499 results for “fuels”
MCUb upregulation in the type 2 diabetic heart impacts cardiac function by altering mitochondrial metabolic fuel flux and the cardiac myocyte phosphoproteome
GEO Series GSE145294. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Integrative transcriptomic and proteomic analyses reveal that NLRX1 and FASTDK5 orchestrate immunometabolic fitness to fuel HIV-1 replication
GEO Series GSE165841. Homo sapiens. 41 samples. Type: Expression profiling by array.
Vitamin D signaling orchestrates skeletal muscle metabolic flexibility by modulating its fuel choice
GEO Series GSE226988. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Cutting down steroid biosynthesis through SIRT6 induced H3K56ac deacetylation Fuels the osteogenic commitment of MSCs (ChIP-Seq)
GEO Series GSE232534. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Amino acids fuel FLS activation and arthritis by regulating chemokine expression and leukocyte migration
GEO Series GSE214970. Homo sapiens. 95 samples. Type: Expression profiling by high throughput sequencing.
Cutting down steroid biosynthesis through SIRT6 induced H3K56ac deacetylation Fuels the osteogenic commitment of MSCs (RNA-Seq)
GEO Series GSE232535. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Cutting down steroid biosynthesis through SIRT6 induced H3K56ac deacetylation Fuels the osteogenic commitment of MSCs
GEO Series GSE232537. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Dataset to Conference Paper titled 'Hybrid Prognostics for Aircraft Fuel System: An Approach to Forecasting the Future'
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Taxonomic and functional diversity of the microbiome in a jet fuel contaminated site as revealed by combined application of in situ microcosms with metagenomic analysis
<p>Natural attenuation represents all processes that govern contaminant mass removal, which mainly occurs via microbial degradation in the environment. Although this process is intrinsic its rate and efficiency depend on multiple factors. This study aimed to characterize the microbial taxonomic and functional diversity in different aquifer sediments collected in the saturated zone and <em>in situ</em> microcosms (BACTRAP®s) amended with hydrocarbons (<sup>13</sup>C-labeled and non-labeled benzene, toluene and naphthalene) using 16S rRNA gene and “<em>shotgun</em>” Illumina high throughput sequencing at a jet-fuel contaminated site. The BACTRAP®s were installed to assess hydrocarbon metabolism by native bacteria. Results indicated that Proteobacteria, Actinobacteria and Firmicutes were the most dominant phyla (~98%) in the aquifer sediment samples. Meanwhile, in the benzene- and toluene-amended BACTRAP®s the phyla Firmicutes and Proteobacteria accounted for about 90% of total community. In the naphthalene-amended BACTRAP®, members of the SR-FBR-L83 family (Order Ignavibacteriales) accounted for almost 80% of bacterial community. Functional annotation of metagenomes showed that only the sediment sample located at the source zone border and with the lowest BTEX concentration, has metabolic potential to degrade hydrocarbons aerobically. On the other hand, <em>in situ</em> BACTRAP®s allowed enrichment of hydrocarbon-degrading bacteria. Metagenomic data suggest that fumarate addition is the main mechanism for hydrocarbon activation of toluene. Also, indications for methylation, hydroxylation and carboxylation as activation mechanisms for benzene anaerobic conversion were found. After 120 days of exposure in the contaminated groundwater, the isotopic analysis of fatty acids extracted from BACTRAP®s demonstrated the assimilation of isotopic labeled compounds in the cells of microbes expressed by strong isotopic enrichment. We propose that the microbiota in this jet-fuel contaminated site has metabolic potential to degrade benzene and toluene by a syntrophic process, between members of the families Geobacteraceae and Peptococcaceae (genus <em>Pelotomaculum</em>), coupled to nitrate, iron and/or sulfate reduction.</p>
DATA SET FOR: From Beats to Engagement: Exploring how Individual Interest in Hip Hop Dance fuels Student Engagement in Physical Education
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Key Control Characteristics of Carbon Black Materials for Fuel Cells and Batteries for a standardized characterization of surface properties
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Calibration of adaptive energy management strategies for fuel cell trucks using real-world driving scenarios
<p>Energy management strategies have a significant impact on the hydrogen economy of fuel cell trucks and the lifetime of battery and fuel cell systems. Usually, the strategy design and calibration involve a multi-objective optimization of performance indexes related to hydrogen consumption, fuel cell transients, battery thermal state, and battery charge control. This contribution presents the calibration of an energy management strategy that is adaptive to battery and ambient temperature. Indeed, fuel cell trucks face critical operating conditions due to high ambient temperatures or high loads on long uphill roads. However, the presented adaptive energy management strategy can effectively avoid thermal issues to preserve the battery life without hindering the hydrogen economy. The strategy calibration can be optimized using a simulation environment consisting of drivetrain components in AVL CRUISE M and vehicle control unit functions in MATLAB Simulink. Moreover, AVL CAMEO can systematically vary the adaptive strategy's curve parameters to find the best trade-off between the key performance indexes. The calibration considers real-world driving cycles of road freight vehicles, including measured speed, road elevation, and variable vehicle mass. The calibration is robust because the performance indexes are optimized over more than 9000 kilometers, covering an extensive range of real-world driving scenarios. Besides the benefits of optimal calibrations, this contribution also provides interesting insights into the energy and thermal management problem of fuel cell trucks.</p>
SOFC stack tests under representative fuels
<p>Three short stacks from SOLIDpower/SolydEra have been tested within Task 3.4. The main results are<br> presented and discussed in this section. There are similarities between the different tests but as the third test<br> was the most complete, the explanations given in the analysis of the third test give also the most complete<br> description, including of observations mentioned for the first 2 stacks.</p>
Genome and transcriptome of Clostridium phytofermentans catalyst for the direct conversion of plant feedstocks to fuels
GEO Series GSE52495. Lachnoclostridium phytofermentans. 18 samples. Type: Expression profiling by array.
Nucleotide metabolism in cancer cells fuels a UDP-driven macrophage cross-talk promoting immunosuppression and immunotherapy resistance
GEO Series GSE196790. Mus musculus. 54 samples. Type: Expression profiling by high throughput sequencing.
ASRS Fuel Related
Dataset from the NASA ASRS from Light GA Aircraft - looking for fuel exhaustion fuel starvation fuel gauge engine rough engine stopped
Study of physico-chemical factors affect on microbial fuel cell operation
<p>Physical and chemical parameters affect on MFC</p>
GrowSmarter Alternative fuel driven vehicles Stockholm
<p>Evaluation information regarding renewable fuel station in GrowSmarter Stockholm</p>
Near Real-Time Fuel Optimal En Route Conflict Resolution
not available
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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.
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.