Data · dataset · 2026
Boron-incorporation-mediated interfacial water orientation for boosting CO2 electroreduction to CH4
Listed in ScienceDB
This dataset is acquired, sorted and standardized through systematic experiments on carbon dioxide electroreduction.
Description
All raw experimental data, characterization data and performance test data originate from actual measurements of the corresponding experiments described in the paper, and the entire process of data collection and processing is fully traceable.During data generation, core electrochemical performance measurements were implemented using an electrochemical workstation.
A standard three-electrode system was adopted to conduct constant-potential electrolysis, linear sweep voltammetry, chronoamperometry and other tests. Data on the micromorphology, crystal structure and elemental composition of catalysts were collected via characterization instruments including scanning electron microscopes, X-ray diffractometers and X-ray photoelectron spectrometers. Qualitative and quantitative analysis of electrolytic products was performed using gas chromatography and proton nuclear magnetic resonance spectroscopy.
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Throughout all experiments, variables such as experimental temperature, electrolyte concentration and CO2 flow rate were rigorously controlled to ensure uniform and controllable experimental conditions.In the data processing phase, all raw measured data were standardized using professional data analysis software. Abnormally fluctuating experimental data and baseline interference signals were eliminated; meanwhile, units of measurement for all datasets were unified and data naming formats were standardized to eliminate discrepancies in format and criteria arising during raw data acquisition, thereby completing the standardized construction of the dataset.All experiments supporting this dataset were carried out under standard laboratory conditions at ambient temperature and atmospheric pressure.
Data collection took place within the experimental cycle of the corresponding research project, and all electrochemical test, material characterization and product detection data are time-synchronized with their respective experimental operations. The dataset is mainly presented in structured tabular data and graphs plotted with Origin software, encompassing hundreds of valid experimental and characterization records in total.
Row labels of data tables cover catalyst crystal structure parameters and catalyst types, while column labels include fitting parameters and material characterization metrics. Key indicators specifically recorded involve sample serial numbers, Faradaic efficiencies of products, structural refinement parameters, specific surface area data and other core metrics. All parameters are marked with standard units of measurement, following internationally accepted metrological standards for electrochemistry and material characterization, delivering complete data dimensions and unambiguous parameter definitions.No intentional data omission exists in this dataset.
Every experimental group included in statistical analysis underwent full testing, characterization and data acquisition workflows, resulting in satisfactory overall data integrity and consistency. Data errors primarily stem from systematic experimental deviations and instrumental detection errors. Measurement inaccuracies of material characterization equipment comply with the factory-specified precision standards.
Minor random errors are introduced by incidental factors such as slight electrolyte volatilization, tiny ambient temperature fluctuations and subtle variations in electrode surface status, yet all errors fall within the conventional reasonable margin for electrocatalysis experiments and do not compromise the validity of overall experimental trends and conclusions.The dataset contains multiple types of standardized data files, with core categories consisting of material characterization spectrum files and catalytic performance datasets.
Tabular files aggregate quantitative experimental data, while spectrum files preserve all characterization and test profiles to guarantee experimental reproducibility. All data files adopt universal mainstream formats compatible with common research software such as TXT and Origin, supporting opening, viewing, editing and secondary data analysis. No niche or proprietary file formats are used, eliminating the need for dedicated adapter software.
The dataset boasts excellent compatibility and versatility, and can support subsequent data verification, reuse and extended research.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.cjcatal.00016 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Chemical engineering 72% · Magnetic resonance imaging 65% · Tabular 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.cjcatal.00016 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4004 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:mri | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |