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ShareScore release 0.9.0
Dataset results
95 results for “Fuel Cell”
A high-performance Ni-CeO2/Ni/Ni-Y2O3·ZrO2 three-layer anode for direct iso-octane feeding of solid oxide fuel cells
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Rainwater-driven microbial fuel cells for power generation in the remote areas' raw data
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Revealing the role of ionic liquids in promoting fuel cell catalysts reactivity and durability
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Dataset associated to Tailored glycosylated anode surfaces: Addressing the exoelectrogen bacterial community via functional layers for microbial fuel cell applications
<p>This file contains the dataset associated to the published research article "<a href="https://www.sciencedirect.com/science/article/pii/S1567539420302887">Tailored glycosylated anode surfaces: Addressing the exoelectrogen bacterial community via functional layers for microbial fuel cell applications</a>". The dataset contains Atomic Force Microscopy, electrochemistry, Microbial Fuel Cells power output and water contact angle 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. <a href="https://www.sciencedirect.com/science/article/pii/S1567539420302887#gp005">799175</a> (HiBriCarbon). 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. <a href="https://www.sciencedirect.com/science/article/pii/S1567539420302887#gp010">13/CDA/2213</a>. The authors also thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. JAB acknowledges support from the Irish Research Council under Grant No. <a href="https://www.sciencedirect.com/science/article/pii/S1567539420302887#gp015">GOIPG/2014/399</a>. </p>
Data file for the paper "Mechanistic Insights into the Oxygen Reduction Reaction on Metal--N--C Electrocatalysts under Fuel Cell Conditions", ChemElectroChem , 2016, DOI: 10.1002/celc.201600354
<p>Dataset for the above paper.</p>
Data file for the paper "Mechanistic Insights into the Oxygen Reduction Reaction on Metal--N--C Electrocatalysts under Fuel Cell Conditions", ChemElectroChem , 2016, DOI: 10.1002/celc.201600354
<p>Dataset for the above paper</p>
Supplementary data for Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions
<p>This dataset contains supplementary data for "Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions" DOI: <strong>10.1016/j.oneear.2022.03.009</strong>.</p> <p>S1-S10 contains life-cycle inventories of solid oxide fuel cells, molten carbonate fuel cells, phosphoric acid fuel cells, and proton exchange membrane fuel cells with either natural gas or wind-electrolysis hydrogen as a feedstock.</p> <p>S11-S13 contains technological information of coal-fired power plants in China</p>
Electrochemical Characterization and Modelling of Anode and Electrolyte Supported Solid Oxide Fuel Cells
<p>Datasets from the paper: "Electrochemical Characterization and Modelling of Anode and Electrolyte Supported Solid Oxide Fuel Cells", Front. Energy Res., 27 September 2021.</p> <p>The work was carried out within the framework of the European Project AD ASTRA. This project has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking under <strong>Grant Agreement No 825027</strong>. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and Hydrogen Europe.</p>
Degradation of Ni-YSZ and Ni-GDC fuel cells after 1000 h operation: Analysis of different overpotential contributions according to electrochemical and microstructural characterization
<p>Datasets from the paper:</p> <p>"Degradation of Ni-YSZ and Ni-GDC fuel cells after 1000 h operation: Analysis of different overpotential contributions according to electrochemical and microstructural characterization". E3S Web of Conferences <strong>334</strong>, 04011 (2022).</p> <p>The activity was carried out within the framework of the European Project AD ASTRA. This project has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking under <strong>Grant Agreement No 825027</strong>. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and Hydrogen Europe.</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>
On the road from Switzerland to Italy over mountain pass with hydrogen fuel cell car Hyundai ix35
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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>
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>
Cell-autonomous light sensitivity via Opsin3 regulates fuel utilization in brown adipocytes
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Pyruvate dehydrogenase fuels a critical citrate pool that is essential for Th17 cell effector functions (RNA-Seq I)
GEO Series GSE222880. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Small non-coding RNAs encapsulating mammalian cells fuels innate immunity
GEO Series GSE252429. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Glucose-dependent glycosphingolipid biosynthesis fuels CD8+ T cell function and tumor control
GEO Series GSE295573. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Cancer cell-derived arginine fuels polyamine biosynthesis in tumor-associated macrophages to promote immune evasion
GEO Series GSE285794. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Pyruvate dehydrogenase fuels a critical citrate pool that is essential for Th17 cell effector functions (ATAC-Seq)
GEO Series GSE222878. Mus musculus. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.