This .txt file was generated on <06.05.2025> by ABOUT TRANSLATE TRANSLATE is a Horizon 2020 EIC Pathfinder project to develop a new proof-of-concept nanofluidic platform technology based on the flux of ions in nanochannels; to effectively convert waste heat to electricity leading to a breakthrough in versatile and sustainable energy harvesting and storage. This technology has the potential to improve the energy efficiency of many devices and systems, and provide a radically new zero-emission power source. TRANSLATE is led by University Colleage Cork (Ireland), with a team of multidisciplinary partners across Europe including Technische Universität Darmstadt (Germany), University of Latvia (Latvia), Cidte (Spain), and UCC Academy (Ireland). The TRANSLATE project has received funding from the European Union (EU)'s Horizon 2020 research and innovation programme under grant agreement No 964251. More info: https://cordis.europa.eu/project/id/964251 Project website: https://translate-energy.eu/ GENERAL DATASET INFORMATION 1. Title of Dataset: 2. Author Information A. Principal Investigator Contact Information Name: Institution: Address: Email: <121127778@umail.ucc.ie> B. Associate or Co-investigator Contact Information Name: Institution: Address: Email: 3. Date of data collection (single date, range, approximate date): <06.10.2023 for experimentation,05.04.2024 for data collection, 14.04.2025 for research article publication> 4. Geographic location of data collection: DATA & FILE OVERVIEW 1. File List:
2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: 3. Instrument- or software-specific information needed to interpret the data: < Origin software was utilized to fit all the graphs and interpret the results> 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: < P. Rupa Ranjani, N. Padmanathan, Anjali Ashokan, Amit Tanwar, Subhajit Biswas, Justin D. Holmes and Kafil M. Razeeb > DATA-SPECIFIC INFORMATION FOR: [FILENAME] 1. Number of variables: <4> 2. Number of cases/rows:
3. Variable List: 4. Missing data codes: 5. Specialized formats or other abbreviations used: