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Data, Volume 10, Issue 8

August 2025 - 16 articles

Cover Story: Utah Lake is large and spatially complex, making continuous monitoring difficult. We used six years of Sentinel-2 and MODIS imagery with field data and generated a dataset with over five million daily estimates of chlorophyll-a, turbidity, and temperature. To capture spatial variability while keeping the dataset tractable, rather than storing every pixel, we stochastically selected sampling points stratified across open-water, near-shore, and process-representative areas such as Provo and Goshen Bays. The resulting open dataset, paired with Jupyter Notebook code that can be adapted to other locations, transforms satellite imagery into accessible water quality information and offers a framework for applying similar methods to other lakes. View this paper
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Articles (16)

  • Data Descriptor
  • Open Access
994 Views
8 Pages

21 August 2025

The dataset presented in this manuscript consists of three distinct sets of data collected during a laboratory experiment aimed at quantifying the emissions of greenhouse gases (GHGs), specifically methane (CH4), carbon dioxide (CO2), and nitrous oxi...

  • Article
  • Open Access
959 Views
29 Pages

21 August 2025

Tracking group membership dynamics over time is a persistent challenge in visual analytics, particularly when dealing with complex, multidimensional datasets. Existing tools often struggle to visualize dynamic group transitions while preserving attri...

  • Systematic Review
  • Open Access
1 Citations
1,216 Views
19 Pages

Data Science Project Barriers—A Systematic Review

  • Natan Labarrère,
  • Lino Costa and
  • Rui M. Lima

20 August 2025

This study aims to identify and categorize barriers to the success of Data Science (DS) projects through a systematic literature review combined with quantitative methods of analysis. PRISMA is used to conduct a literature review to identify the barr...

  • Data Descriptor
  • Open Access
1,340 Views
10 Pages

Simultaneous EEG-fNIRS Data on Learning Capability via Implicit Learning Induced by Cognitive Tasks

  • Chayapol Chaiyanan,
  • Thanate Angsuwatanakul,
  • Keiji Iramina and
  • Boonserm Kaewkamnerdpong

18 August 2025

The development of real-time learning assessment tools is hindered by an incomplete understanding of the underlying neural mechanisms. To address this gap, this study aimed to identify the specific neural correlates of implicit learning, a foundation...

  • Data Descriptor
  • Open Access
2,250 Views
8 Pages

15 August 2025

This study presents an extended dataset on educational quality covering 101 countries, from 1970 to 2023. While existing international assessments, such as the Programme for International Student Assessment (PISA) and Trends in International Mathemat...

  • Data Descriptor
  • Open Access
3,629 Views
11 Pages

A Multi-Sensor Dataset for Human Activity Recognition Using Inertial and Orientation Data

  • Jhonathan L. Rivas-Caicedo,
  • Laura Saldaña-Aristizabal,
  • Kevin Niño-Tejada and
  • Juan F. Patarroyo-Montenegro

14 August 2025

Human Activity Recognition (HAR) using wearable sensors is an increasingly relevant area for applications in healthcare, rehabilitation, and human–computer interaction. However, publicly available datasets that provide multi-sensor, synchronize...

  • Data Descriptor
  • Open Access
1,080 Views
27 Pages

13 August 2025

Data from earth observation satellites provide unique and valuable information about water quality conditions in freshwater lakes but require significant processing before they can be used, even with the use of tools like Google Earth Engine. We use...

  • Article
  • Open Access
762 Views
16 Pages

Limitations of Influence-Based Dataset Compression for Waste Classification

  • Julian Aberger,
  • Lena Brensberger,
  • Gerald Koinig,
  • Benedikt Häcker,
  • Jesús Pestana and
  • Renato Sarc

7 August 2025

Influence-based data selection methods, such as TracIn, aim to estimate the impact of individual training samples on model predictions and are increasingly used for dataset curation and reduction. This study investigates whether selecting the most po...

  • Article
  • Open Access
1 Citations
1,248 Views
37 Pages

4 August 2025

In the digital transformation era, understanding the relationship between digital and real economies is vital for regional development. This study analyses the interaction between these two economies in Henan Province using panel data from 18 cities...

  • Data Descriptor
  • Open Access
1,171 Views
11 Pages

Carbon Monoxide (CO) and Ozone (O3) Concentrations in an Industrial Area: A Dataset at the Neighborhood Level

  • Jailene Marlen Jaramillo-Perez,
  • Bárbara A. Macías-Hernández,
  • Edgar Tello-Leal and
  • René Ventura-Houle

1 August 2025

The growth of urban and industrial areas is accompanied by an increase in vehicle traffic, resulting in rising concentrations of various air pollutants. This is a global issue that causes environmental damage and risks to human health. The dataset pr...

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Data - ISSN 2306-5729