CORTEXA
← Browse
openalexMendeley Data2026-07-23

Extraction dataset and analysis code for a source-verified quantitative synthesis of > banana-residue-derived supercapacitor electrodes

Anacleto Cortez Jr

This deposit contains the complete extraction dataset, analysis code, intermediate results, and figure-generation pipeline supporting a quantitative research synthesis of supercapacitor electrodes derived from banana biomass residues (peel, pseudostem, bract, leaf, and fibre). The dataset comprises 28 electrode conditions extracted from 16 peer-reviewed primary studies, each independently verified as indexed in Scopus or Web of Science, with every reported value confirmed against the publisher's record of the primary source. The unit of analysis is the electrode condition rather than the paper, because individual studies commonly report several conditions; the 28 rows are therefore **not** 28 independent studies, and any re-analysis must account for the clustering of conditions within studies. Recorded fields cover the banana fraction used, conversion route, activation agent and temperature, heteroatom doping, BET surface area, pore volume and pore-size class, electrolyte identity and concentration, electrode configuration, measurement current density or scan rate, and the reported outcomes of specific capacitance, energy density, power density, capacitance retention and cycle count. Two provenance fields record, for every value, whether it was read from the publisher's full text or an open abstract, and the indexing-verification status of the source journal. A separate sheet documents every excluded record with its exclusion reason, including values that were removed during verification because they could not be confirmed in the primary source. The accompanying code reproduces every statistic, table, and figure reported in the associated article from the raw extraction, in ten documented stages: descriptive and bivariate analysis; a leave-one-out machine-learning layer; a robustness suite covering distributional form, rank-based re-estimation, bootstrap intervals, false-discovery-rate correction and variance inflation; PRISMA and effect-size figures; subgroup and influence diagnostics; a conditional meta-analytic apparatus reporting fixed-effect and random-effects pooling, Cochran's Q, I-squared, H-squared, tau-squared, prediction intervals and the Egger and Begg tests; a reproducible six-domain risk-of-bias assessment; measurement-basis stratification with cluster-robust and wild cluster bootstrap inference; a statistical power and feasibility analysis; and an assessment of compliance with existing published reporting guidelines for electrochemical capacitors. Reported specific capacitance is not commensurable across records: values span two- and three-electrode configurations, measurement rates across more than four orders of magnitude, and electrolytes with different stable voltage windows, and no study states the mass basis on which gravimetric quantities are reckoned.

Related papers

openalexMendeley Data2026-07-25

BanglaVowelDataset: True AC and Synthetic BC Bangla Vowel Datasets in Speech Information System

Ohidujjaman, Bejoy Munshi, Md. Mainul Hasan, M M Huda, Suman Ahmmed, Hasan Sarwar

The BanglaVowelDataset [1] resolves the unavailability of Bangla AC and synthetic BC vowel data in the speech information system. We recorded raw Bangla air-conducted (AC) vowels, with five male and five female speakers participating in the recording system, set up in a soundproo…

openalexMendeley Data2026-07-23

Data for: Wide-Range Predictions of Hydrogen-Dependent Vacancy Diffusion in Nickel from a near-DFT-Accurate Machine-Learning Potential

Si Zhu, Nobuyoshi Komai, Shihao Zhang, Shigenobu Ogata

This archive provides the reproducibility materials associated with the manuscript “Wide-Range Predictions of Hydrogen-Dependent Vacancy Diffusion in Nickel from a near-DFT-Accurate Machine-Learning Potential.” It contains the numerical data underlying the manuscript figures and…

openalexMendeley Data2026-07-23

MachDep-PhysX: a survey dataset on automation dependency and physical fitness decline among university students

Md Fahim Ferdous, Fardia Akter Omi, Md. Mehedi Hasan

This dataset contains responses from a structured questionnaire-based survey designed to investigate the relationship between automation/technology dependency and physical fitness decline among university undergraduate students in Bangladesh. The survey was administered as a bili…

openalexMendeley Data2026-07-23

One year of five-minute monitoring data from a residential solar PV–battery system, Capiz, Philippines (Nov 2024 – Oct 2025): descriptive, predictive, and prescriptive analytics

Jeng Batacandolo

This dataset provides one year (1 November 2024 – 31 October 2025) of five-minute field measurements from an operating residential rooftop solar photovoltaic–battery system in Roxas City, Capiz, Philippines, together with satellite weather, system specifications, analysis code, a…