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Data, Volume 4, Issue 3

September 2019 - 41 articles

Cover Story: Satellite earth observation is gaining increasing recognition as a technology for addressing global environmental challenges. Due to large global programs such as Landsat and Copernicus, the availability of free data has increased significantly in recent years. In response, there has been a drive to find more efficient ways to process data at scale and facilitate access to derived insights. Two concepts addressing this challenge are data cubes as a technical solution for efficiently scaling computations and analysis-ready data (ARD) for defining quality standards and ensuring traceability with extensive metadata. This study compared different processing schemes for converting standard synthetic aperture radar (SAR) image datasets into radiometrically terrain corrected (RTC) analysis-ready products. The goal is to assist in the practical implementation of defined ARD standards, enabling routine analyses in data cube environments. here
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Articles (41)

  • Data Descriptor
  • Open Access
5,329 Views
6 Pages

6 September 2019

Facial recognition is made more difficult by unusual facial positions and movement. However, for many applications, the ability to accurately recognize moving subjects with movement-distorted facial features is required. This dataset includes videos...

  • Article
  • Open Access
51 Citations
10,193 Views
15 Pages

2 September 2019

Prostate cancer can be low- or high-risk to the patient’s health. Current screening on the basis of prostate-specific antigen (PSA) levels has a tendency towards both false positives and false negatives, both of which have negative consequences...

  • Data Descriptor
  • Open Access
12 Citations
4,336 Views
11 Pages

28 August 2019

Data acquired from several flights of a custom-fabricated Hexacopter Unmanned Aerial System (UAS) with composite structure (carbon fiber arms and central hub) and composite (carbon fiber) propellers are described in this article. The Hexacopter was a...

  • Data Descriptor
  • Open Access
9 Citations
4,718 Views
9 Pages

24 August 2019

Datasets are important for researchers to build models and test how these perform, as well as to reproduce research experiments from others. This data paper presents the NILM Performance Evaluation dataset (NILMPEds), which is aimed primarily at rese...

  • Article
  • Open Access
25 Citations
4,613 Views
11 Pages

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting

  • Alexander Vlasenko,
  • Nataliia Vlasenko,
  • Olena Vynokurova,
  • Yevgeniy Bodyanskiy and
  • Dmytro Peleshko

23 August 2019

Neuro-fuzzy models have a proven record of successful application in finance. Forecasting future values is a crucial element of successful decision making in trading. In this paper, a novel ensemble neuro-fuzzy model is proposed to overcome limitatio...

  • Data Descriptor
  • Open Access
13 Citations
8,290 Views
10 Pages

22 August 2019

This data descriptor describes Google search engine visibility data. The visibility of a domain name in a search engine comes from search engine optimization and can be evaluated based on four data metrics and five data dimensions. The data metrics a...

  • Data Descriptor
  • Open Access
21 Citations
38,266 Views
16 Pages

A Dataset of Students’ Mental Health and Help-Seeking Behaviors in a Multicultural Environment

  • Minh-Hoang Nguyen,
  • Manh-Toan Ho,
  • Quynh-Yen T. Nguyen and
  • Quan-Hoang Vuong

21 August 2019

University students, especially international students, possess a higher risk of mental health problems than the general population. However, the literature regarding the prevalence and determinants of mental health problems as well as help-seeking b...

  • Technical Note
  • Open Access
11 Citations
6,181 Views
12 Pages

12 August 2019

Datasets play a vital role in data science and machine learning research as they serve as the basis for the development, evaluation, and benchmark of new algorithms. Non-Intrusive Load Monitoring is one of the fields that has been benefiting from the...

  • Data Descriptor
  • Open Access
6 Citations
6,663 Views
11 Pages

Sea Ice Climate Normals for Seasonal Ice Monitoring of Arctic and Sub-Regions

  • Ge Peng,
  • Anthony Arguez,
  • Walter N. Meier,
  • Freja Vamborg,
  • Jake Crouch and
  • Philip Jones

10 August 2019

The climate normal, that is, the latest three full-decade average, of Arctic sea ice parameters is useful for baselining the sea ice state. A baseline ice state on both regional and local scales is important for monitoring how the current regional an...

  • Article
  • Open Access
9 Citations
4,988 Views
20 Pages

9 August 2019

Interactions between online users are growing more and more in recent years, due to the latest developments of the web. People share online comments, opinions, and reviews about many topics. Aspect extraction is the automatic process of understanding...

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Data - ISSN 2306-5729