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499
datasets available to search
ShareScore release 0.9.0
Dataset results
499 results for “fuels”
Dietary fermentable polyols fuel gut inflammation through M1 macrophage polarization and gut microbiota
GEO Series GSE299433. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Receptor Interacting Protein 140 (Nrip1) Controls Cardiac Fuel Metabolism and Function
GEO Series GSE205317. Mus musculus. 44 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Fuel Ethanol Yeast Strains
GEO Series GSE13875. Saccharomyces cerevisiae. 23 samples. Type: Genome variation profiling by array.
High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program
GEO Series GSE90910. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program
GEO Series GSE90912. Mus musculus. 23 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
CHD1 Loss Hijacks SREBP2-mediated Cholesterol Biosynthesis to Fuel SPOP-deficient Prostate Cancer and Confers Resistance to Castration
GEO Series GSE272802. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mitochondrial Apolipoprotein MIC26 is a metabolic rheostat regulating central cellular fuel pathways
GEO Series GSE248848. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Epidermal cells help coordinate leukocyte migration during inflammation through fatty acid-fueled matrix metalloproteinase production
GEO Series GSE56365. Danio rerio. 6 samples. Type: Expression profiling by array.
14CO2 emissions from Nuclear Power Plants and Spend Fuel Reprocessing Plants
<div> <div>14CO2 emissions from Nuclear Power Plants and Spend Fuel Reprocessing Plants preprocessed by Carlos Gómez-Ortiz (carlos.gomez@nateko.lu.se) on 14-12-2023 with data from RADD and Zazzeri et al. (2018) gather and curated by Ida Storm (ida.storm@nateko.lu.se). *.csv file contains the point source data and *.nc file contains the gridded data in 0.5x0.5 degrees.</div> </div>
Towards High Energy Density Fuels for Direct Liquid Organic Hydrogen Carrier Fuel Cells: Electrooxidation of 1-Cyclohexylethanol
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Dataset para Estimação de Torque de Motores de Combustão Interna Flex-Fuel
<p>Dataset foi projetado para auxiliar na modelagem e estimação do torque de motores de combustão interna do tipo Flex-Fuel. </p>
Single-step fully 3D printed and co-sintered Solid Oxide Fuel Cells
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The Impact of Nutrition Education and Milk Provision in Fueling the Progress of 1 - 3 Years Old Children
ClinicalTrials.gov study NCT05489094. IPD Sharing: NO. Countries: 0. Publications: 0.
Threonine fuels glioblastoma through YRDC-mediated codon-biased translational reprogramming
GEO Series GSE229673. Homo sapiens. 27 samples. Type: Expression profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing.
Protracted p53-independent stimulation of p21WAF1/Cip1 fuels genomic instability by deregulating the replication licensing machinery
GEO Series GSE62166. Homo sapiens. 7 samples. Type: Expression profiling by array.
Glutaminolysis fuels de novo glutathione synthesis, regulates redox homeostasis and directs T cell differentiation
GEO Series GSE98733. Mus musculus. 6 samples. Type: Expression profiling by array.
Near-term modeled forest fire area and fuel aridity projections
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Macrophage-mediated myelin recycling fuels brain cancer malignancy
GEO Series GSE266149. Mus musculus. 110 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Amino acid catabolism fuels microalgal lipogenesis
GEO Series GSE82121. Dunaliella tertiolecta UTEX 'LB 999'. 6 samples. Type: Expression profiling by high throughput sequencing.
Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption
Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a function of aircraft Flight Operations Quality Assurance (FOQA) data. FOQA data consist of a large number of measurements that are already recorded by many commercial airlines. The predictive model is used for anomaly detection in the fuel consumption history by noting when measured fuel consumption exceeds an expected value. This exceedance may indicate overconsumption of fuel, the source of which may be identified and corrected by the aircraft operator. This would reduce both fuel emissions and operational costs. This paper gives a brief overview of the modeling approach and describes efforts to validate and analyze the initial results of this project. We examine the typical error in modeling, and compare modeling accuracy against both complex and simplistic regression approaches. We also estimate a ranking of the importance of each FOQA variable used as input, and demonstrate that FOQA variables can reliably be used to identify different modes of fuel consumption, which may be useful in future work. Analysis indicates that fuel consumption is accurately predicted while remaining theoretically sensitive to sub-nominal pilot inputs and maintenance-related issues.
ScienceDex guides
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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.