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499 results for “fuels”
Dataset: OPAL Fuels Inc. (OPAL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Live fuel moisture content maps for western USA
<p>The attached .rar file contains live fuel moisture content maps for Western USA at 250 m resolution for every 15 days from 2016 to 2020. The method to create the maps is described in the manuscript Rao, Krishna, A. Park Williams, Jacqueline Fortin Flefil, and Alexandra G. Konings. "SAR-enhanced mapping of live fuel moisture content." Remote Sensing of Environment 245 (2020): 111797.</p>
Dataset for "A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications"
<p>This data file contains the experimental data pertaining to the manuscript <br>"A Fuel Cell Power Supply System Equipped with Artificial Gill Membranes for Underwater Applications" by Lucas Merckelbach and Prokopios Georgopanos.</p> <p>Table of Contents</p> <p>-------------------</p> <p>experiments: data files and description/notes taken for each experiment reported in the manuscript, as well as the python script to create Figure 3 of the manuscript.</p> <p>The directory contains a README file with further information and instructions.</p>
Data for cluster generation for paper "Energy Storage Profit Risk under Stochastic Fuel Prices"
<p>This is a supplementary data for reproducibility. </p>
On the road from Switzerland to Italy over mountain pass with hydrogen fuel cell car Hyundai ix35
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Seasonal Harvesting Impact on Biomass Fuel Properties and Pyrolysis-Derived Bio-oil Organic Phase Composition
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Data from: Fuels and fires influence vegetation via above- and below-ground pathways in a high-diversity plant community
1. Fire strongly influences plant populations and communities around the world, making it an important agent of plant evolution. Fire influences vegetation through multiple pathways, both above- and belowground. Few studies have yet attempted to tie these pathways together in a mechanistic way through soil heating even though the importance of soil heating for plants in fire-prone ecosystems is increasingly recognized. 2. Here we combine an experimental approach with structural equation modelling (SEM) to simultaneously examine multiple pathways through which fire might influence herbaceous vegetation. In a high-diversity longleaf pine groundcover community in Louisiana, USA, we manipulated fine-fuel biomass and monitored the resulting fires with high-resolution thermocouples placed in vertical profile above- and belowground. 3. We predicted that vegetation response to burning would be inversely related to fuel load owing to relationships among fuels, fire temperature, duration and soil heating. 4. We found that fuel manipulations altered fire properties and vegetation responses, of which soil heating proved to be a highly accurate predictor. Fire duration acting through soil heating was important for vegetation response in our SEMs, whereas fire temperature was not. 5. Our results indicate that in this herbaceous plant community, fire duration is a good predictor of soil heating and therefore of vegetation response to fire. Soil heating may be the key determinant of vegetation response to fire in ecosystems wherein plants persist by resprouting or reseeding from soil-stored propagules. 6. Synthesis. Our SEMs demonstrate how the complex pathways through which fires influence plant community structure and dynamics can be examined simultaneously. Comparative studies of these pathways across different communities will provide important insights into the ecology, evolution and conservation of fire-prone ecosystems.
Isotopic Fuel Compositions in the Sangamon20 Model
<p>The seven csv files each correspond to a different level of fuel burnup in the Sangamon20 (a 20 MWth pebble-bed HTGR) fuel pebbles. fresh_comp.csv provides the composition for UCO in fresh pebbles. 1pass_comp.csv provides the fuel composition in pebbles that have gone through one six month pass, 2pass_comp.csv have been through two six month passes, and so forth.</p>
Dataset associated to: Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes
<p>This file contains the dataset associated to the published research article "Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes". The dataset contains Atomic Force Microscopy, electrochemistry, Microbial Fuel Cells power output, water contact angle and quartz crystal microbalance raw data from their relative instruments. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 799175 (HiBriCarbon). This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. The authors thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. F.B. thanks Rennes Métropole for the co-funding of a Quartz Crystal Microbalance. T.P. thanks Région Bretagne for the co-funding of his PhD.</p>
Dataset associated to: Nanoscaffold effects on the performance of air-cathodes for microbial fuel cells: Sustainable Fe/N-carbon electrocatalysts for the oxygen reduction reaction under neutral pH conditions
<p>This file contains the dataset associated to the published research article "Nanoscaffold effects on air-cathode performance in microbial fuel cells: Fe/N-carbon electrocatalysts for the oxygen reduction reaction under neutral pH conditions". The dataset contains X-ray powder diffraction, Inductively Coupled Plasma Emission Spectroscopy, elemental analysis, measurements of the specific surface area, transmission electron microscopies, x-ray photoelectron microscopy, electrochemistry and microbial fuel cells power outputs data from their relative instruments. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreements No. 799175 (HiBriCarbon) and No. 748968 (EDGE-FREEMAB). The results of this publication reflect only the authors' view and the Commission is not responsible for any use that may be made of the information it contains. This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. SI kindly acknowledges support by the Department of Social Justice State Government of Maharashtra, India. </p>
Figure 1 from: Szinwelski N, Fialho V, Yotoko K, Seleme L, Sperber C (2012) Ethanol fuel improves arthropod capture in pitfall traps and preserves DNA. ZooKeys 196: 11-22. https://doi.org/10.3897/zookeys.196.3130
Figure 1 - Boxplot showing sampling efficiency of different kinds of pitfall traps' killing solution. Traps with Solution 1 (100% ethanol fuel) captured more species and individuals than Solution 2 (80% commercial alcohol (80°GL) + 10% glycerin (P.A) + 10% formaldehyde (P.A)) and Solution 3 (90% commercial alcohol (80°GL) + 10% glycerin (P.A)). A Total number of species per pitfalls' set. B Total number of individuals per pitfalls' set. Different lower case letters correspond to significant differences between killing solution levels, evaluated through contrast analyses.
Figure 2 from: Szinwelski N, Fialho V, Yotoko K, Seleme L, Sperber C (2012) Ethanol fuel improves arthropod capture in pitfall traps and preserves DNA. ZooKeys 196: 11-22. https://doi.org/10.3897/zookeys.196.3130
Figure 2 - Electrophoresis of all 24 analyzed individuals. M represents the lambda DNA marker (100 ng/ul) and F represents the control extraction made using fresh tissue. A) Lanes 01 – 06, individuals killed in C.A. (undiluted commercial alcohol), maintained in the killing solution for 48 hours and then transferred to closed vials containing C.A. (01 – 03) and E.F. (03 – 06) and maintained in these storage solutions for 30 days. Lanes 07 – 12, individuals killed in Solution 1 (= E.F.), maintained in the killing solution for 48 hours and transferred to C.A. (07 – 09) and E.F. (10 – 12) and maintained in these storage solutions for 30 days. B) Lanes 13 – 18, individuals killed in the Solution 2 and maintained in this solution for 24 hours. Lanes 19 – 24, individuals killed in Solution 3, maintained in this solution for 48 hours, than transferred to C.A. (19 – 21) and E.F. (22 – 24) and maintained in these solutions for 30 days. All DNA extractions where successful, but those of crickets killed in solution 2 (lanes 13 – 18).
Unsupportive workplaces fuel learned helplessness in people suffering from impostor syndrome
<p>Investigating the relationship between the impostor phenomenon and learned helplessness, with the mediating role of perceived organisational support</p>
3D printing the next generation of enhanced solid oxide fuel and electrolysis cells
<p>The dataset contains all the data used for the publication called 3D printing the next generation of enhanced solid oxide fuel and electrolysis cells, Pesce et al., Journal of Materials Chemistry A, 2020, 8, 16926–16932 (10.1039/d0ta02803g), as well as the polarisation curves and impedances from the supplementary information.</p> <p>Data is labeled with the figure number-letter and sample type.</p>
Unexpected Tradeoffs of Fossil Fuel Reduction on PM2.5 and O3 Pollution Regulation Can be Offset by Synergistic Control of VOCs Source
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Effect of Walking on Brain Fuel Consumption in Mild Alzheimer's Disease
ClinicalTrials.gov study NCT02708485. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Scaling up flammability from individual leaves to fuel beds
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Data from: Frequent fire slows microbial decomposition of newly deposited fine fuels in a pyrophilic ecosystem
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Extractive desulfurization of liquid fuel using diamine-terminated polyethylene glycol as a very low vapor pressure and green molecular solvent
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Data from: Does fuel type influence the amount of charcoal produced in wildfires? Implications for the fossil record
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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.