You are currently viewing a new version of our website. To view the old version click .

Data, Volume 10, Issue 11

November 2025 - 26 articles

Cover Story: The Cramér–Von Mises statistic determines if certain data follow a theoretical distribution. An accurate probability is obtained from a Monte Carlo simulation. Here, for sample sizes from 2 to 30, 21 replicates of large sizes (5,120,000,000) have been generated, allowing us to obtain accurate permilles of the CM statistic. There is an increase in the variability from smaller to bigger values of the CM statistic obtained from the MC experiment. However, the standard deviation shows that the estimation noise is below 10−4 most of the time. The permille-level precision enables precise critical values and p-values, improving hypothesis testing confidence in quality control, bioinformatics, and financial modeling, to give only some examples. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (26)

  • Data Descriptor
  • Open Access
309 Views
13 Pages

20 November 2025

When the Colebrook equation is used in its original implicit form, the unknown pipe flow friction factor can only be obtained through time-consuming and computationally demanding iterative calculations. The empirical Colebrook equation relates the un...

  • Article
  • Open Access
428 Views
16 Pages

A Data-Driven Analysis of Cognitive Learning and Illusion Effects in University Mathematics

  • Rodolfo Bojorque,
  • Fernando Moscoso,
  • Miguel Arcos-Argudo and
  • Fernando Pesántez

19 November 2025

The increasing adoption of video-based instruction and digital assessment in higher education has reshaped how students interact with learning materials. However, it also introduces cognitive and behavioral biases that challenge the accuracy of self-...

  • Data Descriptor
  • Open Access
359 Views
26 Pages

A Mexican Enhanced Dataset of Pollutant Releases and Transfers (2004 to 2022) with IARC Cancer Classifications

  • Hugo G. Reyes-Anastacio,
  • Ivan Lopez-Arevalo,
  • Jose L. Gonzalez-Compean,
  • Melesio Crespo-Sanchez,
  • Jaqueline Calderon and
  • Heriberto Aguirre-Meneses

19 November 2025

As a member of the North American Free Trade Agreement, the Mexican Ministry of Environment and Natural Resources publishes the Pollutant Releases and Transfers Registry of Substances annually, in accordance with the Official Mexican Norm Standard NO...

  • Data Descriptor
  • Open Access
590 Views
16 Pages

Increasing the Usability of the American Time Use Survey: IPUMS ATUS

  • Kari C. W. Williams,
  • Sarah M. Flood,
  • Liana C. Sayer and
  • Julia A. Rivera Drew

14 November 2025

This paper describes IPUMS ATUS, which simplifies the use of time diary data by disseminating a harmonized and enhanced version of the American Time Use Survey (ATUS). The ATUS time diary data capture the detailed activities over a 24 h period for th...

  • Article
  • Open Access
528 Views
22 Pages

Building Data Literacy for Sustainable Development: A Framework for Effective Training

  • Raed A. T. Said,
  • Kassim S. Mwitondi,
  • Leila Benseddik and
  • Laroussi Chemlali

11 November 2025

As the transformative influence of novel technologies sweeps across industries, organisations are called upon to position their staff in the equally dynamic operational environment, which includes embedding technical and legal communication skills in...

  • Article
  • Open Access
388 Views
19 Pages

Perspectives on Research and Personalized Healthcare in the Context of Federated FAIR Data Based on an Exploratory Study by Medical Researchers

  • Elena Poenaru,
  • Monica Dugăeşescu,
  • Călin Poenaru,
  • Iulia Andrei-Bitere,
  • Livia-Cristiana Băicoianu-Niţescu,
  • Traian-Vasile Constantin,
  • Aurelian Zugravu,
  • Brandusa Bitel,
  • Maria Magdalena Constantin and
  • Smaranda Stoleru

11 November 2025

Background: Research in personalized medicine, with applications in oncology, dermatology, cardiology, urology, and general healthcare, requires facile and safe access to accurate data. Due to its particularly sensitive character, obtaining health-re...

  • Data Descriptor
  • Open Access
722 Views
11 Pages

11 November 2025

We present a real-world dataset capturing thirty consecutive days of malicious HTTP traffic filtered and blocked by the OWASP ModSecurity Web Application Firewall (WAF) on a live production server. Each entry corresponds to a request that triggered o...

  • Article
  • Open Access
419 Views
13 Pages

Photodissociation Processes Involving the SiH+ Molecular Ion: New Datasets for Modeling

  • V. A. Srećković,
  • H. Delibašić-Marković,
  • L. M. Ignjatović,
  • V. Petrović and
  • V. Vujčić

7 November 2025

This paper investigates the photodissociation of the SiH+ molecular ion, a non-symmetric diatomic species composed of silicon and hydrogen. We provide calculated molecular data and characterize electronic states, deriving cross-sections and spectral...

  • Article
  • Open Access
574 Views
29 Pages

Resilience of Scientific Collaboration Networks in Young Universities Based on Bibliometric and Network Analysis

  • Oleksandr Kuchanskyi,
  • Yurii Andrashko,
  • Andrii Biloshchytskyi,
  • Aidos Mukhatayev,
  • Svitlana Biloshchytska and
  • Firuza Numanova

7 November 2025

The resilience of scientific collaboration networks is a key factor in ensuring the long-term academic development of young universities. This study examines the resilience of scientific collaboration networks among young universities based on biblio...

of 3

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Data - ISSN 2306-5729