reapxdev/zenodo-scraper huggingface dataset:
A COMPARATIVE ANALYSIS OF THE IMPACT OF INFORMATION AND COMMUNICATION TECHNOLOGY ON ECONOMIC GROWTH IN ECOWAS AND ITS LANGUAGE BLOCS
Authors: OGUNBADEJO, HUSSAIN KEHINDE, OWOLABI, OLAMADE OLUMUYIWA
Type: Journal article
Published: 2026-08-02

<p class="MsoNoSpacing"><span>This study conducts a comparative analysis of how information and communication technology (ICT) affects economic growth in ECOWAS nations between 2012 and 2022. The data sourced from World Bank Development Indicators While GDP per capita measures economic growth, mobile phone penetration, internet usage, and broadband subscriptions serve as proxies for ICT. The relationships are examined using a system Panel GMM technique. The findings demonstrate that ICT factors positively and statistically significantly affect overall economic growth, with mobile penetration the most significant driver. Disaggregated results, however, show that ICT effects are modest and negligible in Francophone nations but significant in Anglophone and Lusophone nations. Furthermore, growth is adversely affected by inflation, whereas institutional quality exerts a positive influence. The study concludes that ICT stimulates economic growth in ECOWAS, but its efficacy depends on complementary factors such as macroeconomic stability and institutional integrity. Therefore, in addition to institutional and economic reforms, policy efforts should concentrate on bolstering ICT infrastructure.</span></p>
Data and code for: Hidden Markov model identifies four phytoplankton regimes associated with seasonal forcing and monsoon disturbance at a coastal station in Jinhae Bay, Korea
Authors: Kim, Kwang Young, Min, Juhee, Yoon, Jimin, Jeon, Boo Seong, Park, Myung Gil
Type: Dataset
Published: 2026-08-02
Keywords: phytoplankton, hidden Markov model, HPLC pigments, monsoon disturbance, coastal ecology, harmful algal bloom, centered log-ratio, regime shift, Jinhae Bay

<p>Complete data and code supporting the manuscript submitted to Limnology and Oceanography (LO-26-0267). Contents: raw and processed daily HPLC pigment and environmental data; the frozen-state R pipeline (Gaussian HMM fitted from a single prespecified 15-seed multi-start set; biomass emission variable = log10[TChl-a + fucoxanthin + peridinin]; CZM zero replacement via zCompositions; CLR-PCA); fitted model objects; the decoded regime sequence and posterior probabilities; state-number selection (AIC/BIC/ICL, k=1-6) under both a single continuous-sequence and a gap-aware (seven-segment) specification, with k=4 vs k=5 cross-tabulation, fifth-state profile, and k=5 robustness of transitions/dwell; k=3-6 order-robustness correspondence (Table S9); per-state within-state conditional-independence matrices; rank-based effect sizes (Cliff's delta) with moving-block bootstrap confidence intervals for external environmental variables (Table S5); CLR transformation-sensitivity; parametric bootstrap; below-detection (censored) sensitivity; per-pigment non-detection counts; figure code; Supplementary Tables S1-S9.</p>
<p>Reproducibility (v5.0): state-number-selection outputs (Table S1, Table S8, Fig. S6) are generated from one common 15-start continuous-sequence execution and cross-checked by consistency_audit.R (which also verifies the k=3-6 order robustness, the NH4/DIN regime statistics, and that Table S5 reports effect sizes, not p-values); a single master runner (run_all.R) works from the repository root or the code/ directory; an automated value-check (verify_values.R) with a clean-run log (CLEAN_RUN_LOG.txt); a file manifest with checksums (MANIFEST.sha256); and a machine-restorable environment (renv.lock, R 4.5.2). One command regenerates all principal tables, figures, and numerical values and passes the automated checks.</p>
<p>Changes from v4.0: added the k=3-6 order-robustness analysis and Table S9; replaced the Table S5 pairwise Wilcoxon p-values with autocorrelation-aware Cliff's delta effect sizes and moving-block bootstrap CIs (external variables only; state-defining pigments excluded as circular); reconciled Table S1 with Table S8 (k=1-6, ICL column, identical rounding and state order); corrected the k=6 selection fit to the full 15-seed set; extended the automated audit; and added the file manifest.</p>
<p>Funding: National Research Foundation of Korea (NRF) grants RS-2026-25468730 and RS-2026-25550603.</p>