cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/vgnf3u
title: A new species of Cheironitis van Lansberge, 1875 (Coleoptera, Scarabaeidae, Onitini) and the first record of Cheironitis moeris (Pallas, 1787) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, YuHeng, Montreuil, Olivier, Coppo, Paul (2025): A new species of Cheironitis van Lansberge, 1875 (Coleoptera, Scarabaeidae, Onitini) and the first record of Cheironitis moeris (Pallas, 1787) from China. ZooKeys 1265: 151-158, DOI: 10.3897/zookeys.1265.174240AbstractA new species Cheironitis van Lansberge, 1875 (Cheironitis aiweiae sp. nov.), is described from Shiren Gou, Urumqi, in the XinJiang Uygur Autonomous Region of China. Cheironitis moeris (Pallas, 1787) is also reported from this region. These two original observations complement the composition of Cheironitis species in China and further expand our knowledge of their distribution.
DOI: 10.6084/m9.figshare.30814559
title: Data

description: Climate-driven plant nutrient allocation and leaf nutrient resorption.
DOI: 10.6084/m9.figshare.30814559.v3
title: Data

description: Climate-driven plant nutrient allocation and leaf nutrient resorption.
DOI: 10.3886/e242124
title: Nasarawa State University Keffi 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Nasarawa State University Keffi 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18102450
title: Evaluation of Ecological Resilience in Qinghai Province Using the RSEI–HAI–FRAG Indicator System and Analysis of Key Driving Factors
DOI: 10.5281/zenodo.18102451
title: Evaluation of Ecological Resilience in Qinghai Province Using the RSEI–HAI–FRAG Indicator System and Analysis of Key Driving Factors
DOI: 10.3886/e242125
title: Tai Solarin University of Education 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Tai Solarin University of Education 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18102727
title: Dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics

description: Including dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics

 

(1) 4_class dataset for train_val and test (calculated tsfresh features)

 

(2) 5_class dataset for train_val and test (calculated tsfresh features)

 

The codes and more information could be found in Github repo: https://github.com/tom832/Classification_of_Substrate_Orders_in_Reaction_Kinetics.git
DOI: 10.5281/zenodo.18102728
title: Dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics

description: Including dataset for Classification_of_Substrate_Orders_in_Reaction_Kinetics

 

(1) 4_class dataset for train_val and test (calculated tsfresh features)

 

(2) 5_class dataset for train_val and test (calculated tsfresh features)

 

The codes and more information could be found in Github repo: https://github.com/tom832/Classification_of_Substrate_Orders_in_Reaction_Kinetics.git
DOI: 10.3886/e242126
title: Osun State University Osogbo 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Osun State University Osogbo 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.vrksgr
title: Occurrence Download

description: A dataset containing 8172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triatoma infestans"
 ]
}

 The dataset includes 8172 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069533-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242127
title: Taraba State University, Jalingo 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Taraba State University, Jalingo 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242128
title: Northwest University Kano 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Northwest University Kano 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242129
title: Ondo State University of Medical Sciences 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ondo State University of Medical Sciences 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18102808
title: Education Career
DOI: 10.5281/zenodo.18102809
title: Education Career
DOI: 10.3886/e242130
title: Edo State University 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Edo State University 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.c5xex3
title: Occurrence Download

description: A dataset containing 14700 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is one of (cdef28b1-db4e-4c58-aa71-3c5238c2d0b5)"
 ]
}

 The dataset includes 14700 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069534-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242131
title: Kingsley Ozumba Mbadiwe University Ogboko 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Kingsley Ozumba Mbadiwe University Ogboko 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.euf6wk
title: Occurrence Download

description: A dataset containing 8172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triatoma infestans"
 ]
}

 The dataset includes 8172 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069535-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30976951
title: SPSS dataset for analysis

description: This study investigates the design and implementation of a self-directed learning (SDL) program aimed at enhancing evidence-based medicine (EBM) research skills among medical faculty and residents. The objectives were to identify current challenges and educational requirements for EBM research competencies, develop an SDL program, and analyze factors influencing successful implementation. A mixed-methods research and development design was employed across three distinct phases. The program design was informed by qualitative data derived from focus group discussions and interviews. Quantitative data were collected through pre- and post-intervention evaluations of EBM research knowledge and skills. The SDL curriculum was developed based on Boyle's framework for non-formal education programs, Knowles' approach to self-directed learning, and Sackett's principles of evidence-based medicine. Results revealed that learning needs were categorized into curriculum and instructional design, learner characteristics, and learning environments. Quantitative findings showed significant improvements in participants' EBM research knowledge and skills following the program (p &lt; .05). Key success factors included program adaptability, learner preparedness, instructional support, and high-quality content. Conversely, significant barriers included time constraints, excessive workloads, and technological limitations. These findings underscore the potential of SDL-based approaches in health professions education.
DOI: 10.6084/m9.figshare.30976951.v1
title: SPSS dataset for analysis

description: This study investigates the design and implementation of a self-directed learning (SDL) program aimed at enhancing evidence-based medicine (EBM) research skills among medical faculty and residents. The objectives were to identify current challenges and educational requirements for EBM research competencies, develop an SDL program, and analyze factors influencing successful implementation. A mixed-methods research and development design was employed across three distinct phases. The program design was informed by qualitative data derived from focus group discussions and interviews. Quantitative data were collected through pre- and post-intervention evaluations of EBM research knowledge and skills. The SDL curriculum was developed based on Boyle's framework for non-formal education programs, Knowles' approach to self-directed learning, and Sackett's principles of evidence-based medicine. Results revealed that learning needs were categorized into curriculum and instructional design, learner characteristics, and learning environments. Quantitative findings showed significant improvements in participants' EBM research knowledge and skills following the program (p &lt; .05). Key success factors included program adaptability, learner preparedness, instructional support, and high-quality content. Conversely, significant barriers included time constraints, excessive workloads, and technological limitations. These findings underscore the potential of SDL-based approaches in health professions education.
DOI: 10.5281/zenodo.17763981
title: Data and R code for Environmental heterogeneity and spatial structure jointly shape turnover-dominated woody plant β-diversity in a tropical rainforest metacommunity

description: The data and R code used in the manuscript entitled “Environmental heterogeneity and spatial structure jointly shape turnover-dominated woody plant β-diversity in a tropical rainforest metacommunity”
DOI: 10.5281/zenodo.18102814
title: Data and R code for Environmental heterogeneity and spatial structure jointly shape turnover-dominated woody plant β-diversity in a tropical rainforest metacommunity

description: The data and R code used in the manuscript entitled “Environmental heterogeneity and spatial structure jointly shape turnover-dominated woody plant β-diversity in a tropical rainforest metacommunity”
DOI: 10.3886/e242133
title: Moshood Abiola University of Science and Technology Abeokuta 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Moshood Abiola University of Science and Technology Abeokuta 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242134
title: Gombe State University of Science and Technology 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Gombe State University of Science and Technology 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.6084/m9.figshare.30600539
title: <b>A Black-winged Kite Improved Fuzzy Clustering handling Imbalanced Uncertain Data</b>

description: BKIFF clustering algorithms were executed 30 independent times following the Monte Carlo simulation protocol to ensure statistical robustness. For each performance metric, the median and interquartile range (IQR) were reported to characterize both central tendency and variability. All computations were conducted in <b>Octave/MATLAB</b> on an <b>Intel® Core™ i5-11400H @ 2.70 GHz</b> processor with 16 GB of RAM. To guarantee reproducibility, random seeds were fixed across controlled iterations in every run.
DOI: 10.6084/m9.figshare.30600539.v3
title: <b>A Black-winged Kite Improved Fuzzy Clustering handling Imbalanced Uncertain Data</b>

description: BKIFF clustering algorithms were executed 30 independent times following the Monte Carlo simulation protocol to ensure statistical robustness. For each performance metric, the median and interquartile range (IQR) were reported to characterize both central tendency and variability. All computations were conducted in <b>Octave/MATLAB</b> on an <b>Intel® Core™ i5-11400H @ 2.70 GHz</b> processor with 16 GB of RAM. To guarantee reproducibility, random seeds were fixed across controlled iterations in every run.
DOI: 10.6084/m9.figshare.30600539.v4
title: <b>A Black-winged Kite Improved Fuzzy Clustering handling Imbalanced Uncertain Data</b>

description: BKIFF clustering algorithms were executed 30 independent times following the Monte Carlo simulation protocol to ensure statistical robustness. For each performance metric, the median and interquartile range (IQR) were reported to characterize both central tendency and variability. All computations were conducted in <b>Octave/MATLAB</b> on an <b>Intel® Core™ i5-11400H @ 2.70 GHz</b> processor with 16 GB of RAM. To guarantee reproducibility, random seeds were fixed across controlled iterations in every run.
DOI: 10.5281/zenodo.18102818
title: Adapting to Diversity in Gifted Communities: Effective Strategies, Methodologies, and Future Visions

description: This conceptual framework elucidates advanced strategies and methodologies for accommodating escalating diversity within gifted populations, emphasizing the identification and empowerment of underrepresented groups in gifted education programs. It examines robust support systems for gifted individuals with disabilities, seeking to bridge discrepancies between unique challenges and exceptional capabilities through customized interventions. The analysis investigates personalized educational pathways for gifted learners, addressing barriers to talent development in home, school, and university settings, supported by case studies demonstrating successful applications of individualized instructional models. Innovative tools and techniques for bespoke learning paths are proposed, alongside the critical roles of governmental and private institutions in talent nurturing.

Furthermore, the paper explores the preparation of gifted students for the 21st-century labor market, illuminating obstacles in talent enhancement within dynamic business environments and strategies to equip them with essential competencies for a technology-driven global economy. Priority is given to cultivating creativity, leadership, adaptability, and resilience, in conjunction with digital proficiency and critical thinking for complex problem resolution. The importance of interactive education and lifelong learning in refining these skills is highlighted.

Projecting toward Vision 2050, the paper forecasts future conceptions of giftedness and creativity, incorporating contemporary theories. It anticipates innovative, data-informed approaches to talent identification, the imperative of innovation and entrepreneurship amidst intensifying global challenges, and the fusion of artificial intelligence and cutting-edge technologies in gifted education. Recommendations for collaborations between educational and industrial sectors aim to create integrated learning ecosystems, with architectures integrating technology, ethics, and social awareness for gifted education by 2050.

Underpinned by rigorous mathematical models, including Bayesian inference for talent identification, precise derivations, authentic simulations via Python code, quantitative statistics, sensitivity analysis, uncertainty quantification, and falsifiability assessments, this paper delivers a scientifically stringent, reproducible structure. All analyses are rooted in verifiable data and peer-reviewed citations from prestigious journals.

Word count: 372

\textbf{Keywords:} Gifted Education, Diversity Adaptation, Personalized Learning, Workforce Preparation, AI Integration, Vision 2050
DOI: 10.7910/dvn/lm4owf
title: The Standardized World Income Inequality Database, Versions 8-9

description: Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of the existing inequality datasets: greater coverage across countries and over time has been available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to meet the needs of those engaged in broadly cross-national research by maximizing the comparability of income inequality data while maintaining the widest possible coverage across countries and over time. The SWIID’s income inequality estimates are based on thousands of reported Gini indices from hundreds of published sources, including the OECD Income Distribution Database, the Socio-Economic Database for Latin America and the Caribbean generated by CEDLAS and the World Bank, Eurostat, the World Bank’s PovcalNet, the UN Economic Commission for Latin America and the Caribbean, national statistical offices around the world, and academic studies while minimizing reliance on problematic assumptions by using as much information as possible from proximate years within the same country. The data collected and harmonized by the Luxembourg Income Study is employed as the standard. The SWIID currently incorporates comparable Gini indices of disposable and market income inequality for 199 countries for as many years as possible from 1960 to the present; it also includes information on absolute and relative redistribution.
DOI: 10.5281/zenodo.18102670
title: Temperature-Dependent Locomotion Data of the Hissing Cockroach (Gromphadorhina portentosa)

description: This dataset contains locomotion data from 45 Gromphadorhina portentosa (Madagascar hissing cockroaches) recorded under six controlled temperature conditions: 18°C, 22°C, 26°C, 30°C, 34°C, and 38°C.

Each trial of 25 minutes is stored in an individual CSV file and includes the following parameters:





PID_OUTPUT and PWM – Status of the heating/cooling fan control system.




PROM_TEMP – Average temperature inside the environmental control chamber.




SHT1_TEMPERATURE, SHT1_HUMIDITY – Temperature and humidity from the first SHT45 high-precision sensor.




SHT2_TEMPERATURE, SHT2_HUMIDITY – Temperature and humidity from the second SHT45 high-precision sensor.




GY30_LUX – Light intensity measured by the first GY-30 high-precision sensor.




GY302_LUX – Light intensity measured by the second GY-30 high-precision sensor.




MOUSE1_X, MOUSE1_Y – X and Y positions from the first optical mouse (frontal movement).




MOUSE2_X, MOUSE2_Y – X and Y positions from the second optical mouse (lateral movement).



Aditionally, a file with a complete resume of the tests as well as population variables such as gender, length or life-status is also included for a better analysis.

These data enable the analysis of locomotion patterns under varying thermal conditions and support research in animal behavior, environmental physiology, and bio-robotics.
DOI: 10.6084/m9.figshare.30883343
title: Cell population data as predictive biomarkers for biologic therapy response in psoriasis

description: Biologic agents have significantly improved psoriasis treatment, but patient responses exhibit considerable heterogeneity, highlighting the urgent need for practical predictive biomarkers of therapeutic efficacy. This prospective cohort study enrolled 422 psoriasis patients and 150 healthy controls. Sixteen CPD parameters were measured using a hematology analyzer. We analyzed associations between baseline CPD and disease severity as well as inflammatory markers, assessed their predictive value for treatment response over 48 weeks of biologic therapy, and monitored early dynamic changes in CPD and their relationship with treatment response in 169 patients. All CPD parameters were significantly elevated in psoriasis patients compared to healthy controls (all <i>p</i> &lt; 0.001). Baseline mean lymphocyte volume (MN-V-LY) demonstrated sustained negative correlations with PASI improvement rates from weeks 4 to 48 (ρ = −0.278 to −0.449, all <i>p</i> &lt; 0.001). Early reduction in monocyte volume heterogeneity (SD-V-MO) was significantly associated with long-term efficacy (ρ = −0.355 to −0.546, all <i>p</i> &lt; 0.001). As simple, standardized hematological parameters, CPD show potential for clinical application in predicting biologic therapy response in psoriasis.
DOI: 10.6084/m9.figshare.30883343.v1
title: Cell population data as predictive biomarkers for biologic therapy response in psoriasis

description: Biologic agents have significantly improved psoriasis treatment, but patient responses exhibit considerable heterogeneity, highlighting the urgent need for practical predictive biomarkers of therapeutic efficacy. This prospective cohort study enrolled 422 psoriasis patients and 150 healthy controls. Sixteen CPD parameters were measured using a hematology analyzer. We analyzed associations between baseline CPD and disease severity as well as inflammatory markers, assessed their predictive value for treatment response over 48 weeks of biologic therapy, and monitored early dynamic changes in CPD and their relationship with treatment response in 169 patients. All CPD parameters were significantly elevated in psoriasis patients compared to healthy controls (all <i>p</i> &lt; 0.001). Baseline mean lymphocyte volume (MN-V-LY) demonstrated sustained negative correlations with PASI improvement rates from weeks 4 to 48 (ρ = −0.278 to −0.449, all <i>p</i> &lt; 0.001). Early reduction in monocyte volume heterogeneity (SD-V-MO) was significantly associated with long-term efficacy (ρ = −0.355 to −0.546, all <i>p</i> &lt; 0.001). As simple, standardized hematological parameters, CPD show potential for clinical application in predicting biologic therapy response in psoriasis.