Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
19
datasets available to search
ShareScore release 0.7.1
Dataset results
19 results for “CO2 electroreduction”
Cation-coordinated inner-sphere CO2 electroreduction at Au-water interfaces-related dataset
<p>ab initio molecular dynamics and slow-growth sampling dataset for CO<sub>2</sub>RR at Au-water-cations interfaces</p>
Chlorine-Promoted Copper Catalysts for CO2 Electroreduction into Highly Reduced Products
<p>Datasets supporting the publication 'Chlorine-Promoted Copper Catalysts for CO<sub>2</sub> Electroreduction into Highly Reduced Products': catalyst evaluation data (Excel), XRD (2 column CSV), XPS (Excel), SEM images (TIFF)</p>
Dataset for the paper "Real-Time in Situ Monitoring of CO2 Electroreduction in the Liquid and Gas Phases by Coupled Mass Spectrometry and Localized Electrochemistry" DOI: 10.1021/acscatal.2c00609
<p>The data in the attached spreadsheet was used to produce the figures in the paper</p> <p>Authors:Guohui Zhang, Youxin Cui, Anthony Kucernak</p> <p>Title:Real-Time in Situ Monitoring of CO2 Electroreduction in the Liquid and Gas Phases by Coupled Mass Spectrometry and Localized Electrochemistry</p> <p>Journal:ACS Catalysis</p> <p>DOI:10.1021/acscatal.2c00609</p> <p>Please cite the above reference if you wish to use this data</p> <p>DOI of data:10.5281/zenodo.6526651</p>
NFFA-Europe|Pilot proposal "Resolving Local Coordination of Doped-Carbon Supported Soft-Landed Metal Nanoparticles For CO2 Electroreduction" (PID: 159). XPS data.
<p>XPS data of copper oxide nanoparticles synthesized withtin the NFFA-Europe|Pilot proposal "Resolving Local Coordination of Doped-Carbon Supported Soft-Landed Metal Nanoparticles For CO2 Electroreduction” (PID: 159).</p>
Dataset from J. Am. Chem. Soc. paper: H and CO Co-induced Roughening of Cu Surface in CO2 Electroreduction Conditions
<p>Dataset from J. Am. Chem. Soc. paper: H and CO Co-induced Roughening of Cu Surface in CO2 Electroreduction Conditions</p> <p> </p> <ul> <li>GCGA.zip <ul> <li>step1_init_gen<br>random structure generation for the initial population of the GCGA search</li> <li>step2_init_opt<br> batch optimization of the initial population</li> <li>step3_gcga<br>GCGA search</li> <li>result<br>ASE database of all sampled structures from GCGA searches for Cu (100), (111), and (711)</li> </ul> </li> <li>GCDFT.zip <ul> <li>input_example<br>input files for surface charging calculations of optimized slabs</li> <li>result<br>ASE database of all GCDFT-calculated low energy local minima for Cu (100), (111), and (711)</li> </ul> </li> <li>MC_LSV.zip <ul> <li>input_example<br>input files for running a simulated cathodic scan using the quasi-kinetic MC</li> <li>result_parsed<br>trajectory of key info of each simulation</li> </ul> </li> <li>MC_CA.zip <ul> <li>input_example<br>input files for running a constant potential simulation using the quasi-kinetic MC</li> <li>result_parsed<br>trajectory of key info of each simulation</li> </ul> </li> </ul> <p>GCGA and GCDFT calculations are performed using the workflow or wrapper in the GOCIA package (https://github.com/zishengz/gocia)</p>
X-ray absorption data and microscopic images of "Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO"
<p>XANES and EXAFS data (Figure 1F-H, Figure 3A-B, Figure S2F-H, Figure S3H-I, Figure S10A-B, Figure S11A-B,E-F, Figure S12A, Figure S14D-E)</p> <p>Microscopic images (Figure 1A-D, Figure S2B,D, Figure S4A-B,D-E, Figure S9A-C,E Figure S13A-D)</p> <p>of the research paper 'Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO'.</p>
CO2 Electroreduction to Long-Chain Hydrocarbons on Cobalt Catalysts
<p>Source data for Figures displayed in the manuscript.</p> <p>DFT datasets have been uploaded to the iochem-BD database (<a href="https://doi.org/10.19061/iochem-bd-1-295">https://doi.org/10.19061/iochem-bd-1-295</a>).</p>
CO2 electroreduction experiments - supplementary data
<p>Set of raw data supporting our work on CO2 electroreduction.</p>
CO2 Electroreduction To Syngas With Tunable Composition In An Artificial Leaf
<p>Experimental dataset corresponding to figures in the main manuscript and supporting information</p>
Data of "Modulating Electric Field Distribution by Alkali Cations for CO2 Electroreduction in Strongly Acidic Medium"
<p>Data of the paper "Modulating Electric Field Distribution by Alkali Cations for CO2 Electroreduction in Strongly Acidic Medium"</p>
Unveiling the mechanism of CO2 electroreduction to C1 and C2 products on ordered double transition metal MXenes.
<p><span>we use rigorous first principles simulations to comprehensively screen and explore the CO<sub>2</sub> reduction activity of twelve different two-dimensional ordered double transition metal MXenes. Our results indicate that all the twelve MXenes show metallic characteristics and can activate CO<sub>2</sub> significantly with strong binding energy.The electronic structure analysis reveals the charge redistribution from MXene catalysts to the antibonding states of CO<sub>2</sub> results in strong hybridization between CO<sub>2 </sub>orbitals and surface metal orbitals. The strong CO<sub>2</sub> binding is further affirmed by the enhanced charge transfer from MXene to the adsorbed CO<sub>2</sub> molecule. Simulations based on the free energy pathways show that Mo<sub>2</sub>TaC<sub>2</sub> and Mo<sub>2</sub>TiC<sub>2 </sub>possess superior catalytic activity for conversion of CO<sub>2</sub> to methanol and methane with very low limiting potential values of <span><span>-0.35 and -0.39 V respectively where as Mo<sub>2</sub>TaC<sub>2</sub> and Mo<sub>2</sub>VC<sub>2</sub> were found to display excellent performance for ethanol formation with record low limiting potential of -0.32 V and -0.42 V respectively.</span></span></span></p>
Data from: Cu+ transient species mediate Cu catalyst reconstruction during CO2 electroreduction
<p>Understanding metal surface reconstruction is of the uttermost importance in heterogeneous<br> catalysis as this phenomenon directly affects the nature of available active sites. However,<br> surface reconstruction is notoriously difficult to study because of the dynamic nature of the<br> phenomena behind it, particularly when solid/liquid interfaces are involved. Here, we report<br> on the intermediates which drive the rearrangement of copper catalysts for the electrochemical<br> CO2 reduction reaction (CO2RR). Online mass spectrometry and UV-Vis absorption<br> spectroscopy data are consistent with a dissolution–redeposition process, previously<br> demonstrated by in-situ electron microscopy. The data indicate that the soluble transient<br> species contain copper in +1 oxidation state. Density functional theory identifies copper adsorbate<br> complexes which can exist in solution under operating conditions. Copper carbonyls and oxalates are suggested as the major reaction-specific species driving copper reconstruction during CO2RR. This work motivates future methodological studies to enable the direct detection of these compounds and strategies which specifically target them to improve the catalyst operational stability.</p>
Dataset for the paper "Time-Resolved Product Observation for CO2 Electroreduction Using Synchronised Electrochemistry-Mass Spectrometry with Soft Ionisation (sEC-MS-SI)", DOI:10.1002/anie.202312607
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Authors:Guohui Zhang, Anthony Kucernak </p> <p>Title:Time-Resolved Product Observation for CO2 Electroreduction Using Synchronised Electrochemistry-Mass Spectrometry with Soft Ionisation (sEC-MS-SI)</p> <p>Journal:Angew. Chem. Int. Ed.</p> <p>DOI:10.1002/anie.202312607</p> <p>Please cite the above reference if you wish to use this data</p> <p>DOI of data:10.5281/zenodo.8415115</p>
Source data of "Self-pressurizing nanocatalytic capsules for CO2 electroreduction to acetate or propanol"
Open the record for dataset details and reuse information.
Dataset for the article 'Toward Efficient Tandem Electroreduction of CO2 to Methanol using Anodized Titanium'
<p>This depository contains the dataset for the experiments performed for the publication 'Toward Efficient Tandem Electroreduction of CO2 to Methanol using Anodized Titanium', published in ACS Catalysis, <span>2021</span><span>, 11</span><span>, 14</span><span>, 8467–8475 (<a title="DOI URL" href="https://doi.org/10.1021/acscatal.1c01725">https://doi.org/10.1021/acscatal.1c01725</a>).</span></p>
Multicarbon product quantification to unveil performance trends in CO2 electroreduction over phosphate-derived nickel catalysts
<p>Source data for Figure 5 displayed in the manuscript.</p>
Data_Enhanced CO2 electroreduction with metal-nitrogen-doped carbons in a continuous flow reactor
<p>The folder contains the processed data of figures 1, 3, 4, 5, 6, 7, 8, S4, S5, S6, S7, S8, S9, S10, S17 and S18 that appear in:</p> <p>Duarte, M.; Daems, N.; Hereijgers, J.; Arenas-esteban, D.; Bals, S.; Breugelmans, T. Enhanced CO 2 Electroreduction with Metal-Nitrogen-Doped Carbons in a Continuous Flow Reactor. J. CO2 Util. 2021, 50, 101583.</p> <p><a href="https://doi.org/10.1016/j.jcou.2021.101583">https://doi.org/10.1016/j.jcou.2021.101583</a></p>
Mapping Composition–Selectivity Relationships of Supported Sub-10 nm Cu–Ag Nanocrystals for High-Rate CO2 Electroreduction
<p>The folder contains the tabulated data of figures 1,3,4,6,8,10 in excel, as well as the edited figures in ppt and tiff format, as appeared in:</p> <p>Mapping Composition–Selectivity Relationships of Supported Sub-10 nm Cu–Ag Nanocrystals for High-Rate CO<sub>2</sub> Electroreduction. <em>ACS Nano </em>2021, 15, 9, 14858–14872.</p>
Steering Hydrocarbon Selectivity in CO2 Electroreduction over Soft-landed CuOx Nanoparticle-Functionalized Gas Diffusion Electrodes
<p>The folder contains the tabulated data of figures 3,4,5,6, S3, S12 and S13 in excel, as well as the edited figures in ppt and tiff format, as appeared in:</p> <p>Steering Hydrocarbon Selectivity in CO2 Electroreduction over Soft-landed CuOx Nanoparticle-Functionalized Gas Diffusion Electrodes. <em>ACS Applied Materials & Interfaces</em> 14 (2), 2691-2702.</p>
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.