Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
"Dataset: A Transformative–Collaborative Lesson Study Model for Strengthening Teacher Professionalism in Support of Deep Learning Implementation in Indonesian Junior Secondary Schools"
October, 2026 • Data paper
Kartinah, Atin, Komariah, Aan, Sururi, Suryadi
This dataset contains the supporting research materials associated with the dissertation entitled "A Transformative–Collaborative Lesson Study Model for Strengthening Teacher Professionalism in …
This dataset contains the supporting research materials associated with the dissertation entitled "A Transformative–Collaborative Lesson Study Model for Strengthening Teacher Professionalism in Support of Deep Learning Implementation in Indonesian Junior Secondary Schools."
The dataset comprises four main components:
Demographic Data – background information of the 104 respondents involved in the study, including their gender, age, and respondent category (teachers, supervisors, and students).
Interview Transcripts – verbatim transcripts of in-depth interviews conducted with selected respondents to obtain qualitative insights supporting the quantitative findings.
Descriptive Statistics – summary statistical results (N, mean, standard deviation, minimum, and maximum values) for each research variable, derived from questionnaire responses.
Questionnaire – the research instrument used to collect data from respondents, covering all measured indicators.
A total of 104 respondents participated in this study, consisting of teachers, supervisors, and students from junior secondary schools (SMP) in Kabupaten Garut, Indonesia. The dataset includes responses on the following research variables: Lesson Study, Transformative-Collaborative (Teacher), Transformative-Collaborative (Supervisor), Teacher Professionalism, Deep Learning Implementation (Student), and Deep Learning Implementation (Teacher).
This dataset is intended to support transparency, reproducibility, and further research related to the transformative-collaborative lesson study model in enhancing teacher professionalism and the implementation of deep learning in Indonesian secondary education.
Data, materials, and analysis code for: Perceived Liberalism and Intellect Cannot Be Reduced to a Single Openness Dimension: A State-Trace Experiment
October, 2026 • Software
Titz, Johannes, Gailer, Benedikt
Anonymized data, study materials, and R analysis code accompanying the in-press Journal of Research in Personality article by Johannes Titz and Benedikt Gailer. Licensing varies by content: R code is …
Anonymized data, study materials, and R analysis code accompanying the in-press Journal of Research in Personality article by Johannes Titz and Benedikt Gailer. Licensing varies by content: R code is GPL-3.0-or-later; original data, documentation, and study materials are CC BY 4.0; and underlying IPIP items and scales are public domain. See LICENSE.md for scope and third-party notices.
state-trace analysisdimensionalityintellectliberalismopenness to experience
Contains synthetic dataset CSVs for the following methods and original datasets:
Methods:
CTGAN
TVAE
GReaT
STaSy
CoDi
TabSyn
TabDiff
TabPFN-3
FF (Fully Factorized; ours)
SM (Shallow Mixture; ours)
Ta…
Contains synthetic dataset CSVs for the following methods and original datasets:
Methods:
CTGAN
TVAE
GReaT
STaSy
CoDi
TabSyn
TabDiff
TabPFN-3
FF (Fully Factorized; ours)
SM (Shallow Mixture; ours)
TabPC (ours)
(In addition, it contains data generated by FF Random, a model used to highlight issues with the metric Trend in Section 2.2)
Datasets:
Adult
Beijing
Default
Diabetes
Magic
News
Shoppers
See the associated paper for a full description of these datasets and methods.
Certain combinations are missing if the method was unable to run for that dataset. Each combination should also consist of synthetic datasets generated by 5 different trained model seeds (if training and generation was possible).
Raw X-ray diffraction data, processing files and logs for PDB ID 9SUO
October, 2026 • Dataset
Griese, Julia Johanna
Raw X-ray diffraction data and all processing files and logs associated with PDB ID 9SUO (https://doi.org/10.2210/pdb9SUO/pdb). Data were collected on beamline I24 of Diamond Light Source (Didcot, UK)…
Raw X-ray diffraction data and all processing files and logs associated with PDB ID 9SUO (https://doi.org/10.2210/pdb9SUO/pdb). Data were collected on beamline I24 of Diamond Light Source (Didcot, UK), on 2025-05-02.
Reproducible and wrong: silent failures in archaeological visibility analysis and a benchmark to catch them — code, benchmark and landscape laboratory
October, 2026 • Software
Mamani Calisaya, Milton Vladimir
Defect-injectable line-of-sight engine, an executable benchmark (terrain cases with derived expectations plus behavioural properties) audited by mutation analysis, and a synthetic-landscape laboratory…
Defect-injectable line-of-sight engine, an executable benchmark (terrain cases with derived expectations plus behavioural properties) audited by mutation analysis, and a synthetic-landscape laboratory with ground truth by construction that measures what design-level defects (unmasked water, tightly cropped null-sampling regions) do to statistical inference. Includes every result file, the figure and manuscript generators, and the audit. NumPy-only. Companion deposit to the manuscript of the same title.
viewshed analysisline of sightsoftware validationmutation testingmetamorphic testing
De-identified survey data on fear of failure among undergraduate sport science students in Indonesia.
Design: cross-sectional online survey (Google Forms), 25–30 September 2026, Faculty of Sport…
De-identified survey data on fear of failure among undergraduate sport science students in Indonesia.
Design: cross-sectional online survey (Google Forms), 25–30 September 2026, Faculty of Sport Science, Universitas Negeri Padang, Indonesia. Students were recruited through 24 class sections of eight courses (convenience sampling).
Measures: the Indonesian version of the Performance Failure Appraisal Inventory (PFAI; 25 items, five-point applicability scale) and background questions on gender, age, athletic status, licensed coaching, years of athletic participation, highest competitive level, preferred sport type, and home region.
Sample: 324 submissions; after removal of 23 duplicate submissions and 28 careless responders (longstring index of 20 or more), 273 participants were analysed.
Files:- analysis.csv: the 273 analysed participants (item responses, subscale and total scores, background variables)- analysis_all.csv: all 324 submissions with screening flags- pilot_membership.csv: indicator of the 72 respondents in the interim response batch- A2_published_samples.csv: subscale means of five published PFAI samples and of this study, with sources, used for the profile comparison- codebook.csv: variable names, descriptions, and value codes- README.md: study details, screening steps, de-identification, and instructions for reproducing the analyses
De-identification: names, student numbers, submission timestamps, dates of birth, course names, free-text sport answers, and home regencies were removed; age is rounded to 0.1 year and small provinces are pooled.
Ethics: the Research Ethics Committee of Universitas Negeri Malang granted an ethical exemption (No. 26.06.23/UN32.14.2.8/LT/2026, 26 June 2026).
Funding: Institute for Research and Community Service (LPPM), Universitas Negeri Padang, contract number 2026/UN35.15/LT/2026.
Questionnaire, analysis scripts, and completed STROBE checklists for a cross-sectional survey of fear of failure among undergraduate sport science students in Indonesia (N = 273 analysed). The de-identified data are published in a separate record.
Files:- Questionnaire_FoF2026.pdf / .docx: the questionnaire as administered, with the Indonesian wording of the background questions (with English translations) and the 25 Indonesian PFAI items, including the subscale key and scoring notes- STROBE_checklist_A1.pdf, STROBE_checklist_A2.pdf, STROBE_checklist_A3.pdf: completed STROBE checklists for cross-sectional studies, one for each article based on this survey- scripts.zip: Python and R scripts for data screening, scoring, and all statistical analyses (R 4.3.3 with lavaan, semTools, psych, GPArotation, BayesFactor, afex, and mclust)- README.md: description of the files and the order in which to run the scripts
The PFAI item content remains subject to the rights of its original author (D. E. Conroy). The Indonesian translation, background questions, scripts, and checklists are shared under CC-BY 4.0.
Ethics: the Research Ethics Committee of Universitas Negeri Malang granted an ethical exemption (No. 26.06.23/UN32.14.2.8/LT/2026, 26 June 2026).
Funding: Institute for Research and Community Service (LPPM), Universitas Negeri Padang, contract number 2026/UN35.15/LT/2026.
fear of failurePerformance Failure Appraisal Inventorysport science studentsIndonesiaSTROBE
Desalinhamento entre indicadores de desempenho de Compras e a estratégia corporativa: implicações para o valor percebido da função Compras
October, 2026 • Report
Riera, Erica, Dultra-de-Lima, Ronaldo Gomes, Oyadomari, José Carlos Tiomatsu, Pereira, Gustavo Menoncin de Carvalho
Riera, E.; Dultra-de-Lima, R. G.; Oyadomari, J. C. T.; Pereira, G. M. C.. Desalinhamento entre indicadores de desempenho de Compras e a estratégia corporativa: implicações pa…
Riera, E.; Dultra-de-Lima, R. G.; Oyadomari, J. C. T.; Pereira, G. M. C.. Desalinhamento entre indicadores de desempenho de Compras e a estratégia corporativa: implicações para o valor percebido da função Compras. São Paulo: Universidade Presbiteriana Mackenzie, 2026. Relato Técnico Conclusivo, Programa de Pós-Graduação em Controladoria, Finanças e Tecnologias de Gestão. DOI:10.5281/zenodo.23083470
Weather situations like the one driving the September 2026 Bangkok floods now bring about 20-25% heavier rainfall and about 30% stronger winds over the Gulf of Thailand and its coasts than they …
Weather situations like the one driving the September 2026 Bangkok floods now bring about 20-25% heavier rainfall and about 30% stronger winds over the Gulf of Thailand and its coasts than they would have in the past (1950-1987).
The event was associated with a highly exceptional weather pattern, characterized by a persistent low pressure system over central Thailand. As a result, we have low confidence in the attribution statement.
Approximately 14 million people and 134 billion USD in economic activity were exposed within the area where rainfall has intensified. Of the resulting rain-linked damages, an estimated 5% is attributable to human-driven climate change.
We find that both human-driven climate change and natural climate variability contributed to the event.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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