Gissi, Elena Maes, Frank Kyriazi, Zacharoula Ruiz-Frau, Ana Santos, Catarina Frazão Neumann, Barbara Quintela, Adriano Alves, Fátima L Borg, Simone Chen, Wenting
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Data in brief
The dataset presented in this article contains information about marine Area-Based Management Tools (ABMTs) used to assess their contribution to the United Nations 2030 Sustainable Development Goals. Following the scope of the analysis, ABMTs were identified by scrutinizing international and regional legal sources related to ocean management in the...
Berenguel-Baeta, Bruno Bermudez-Cameo, Jesus Guerrero, Jose J
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Data in brief
Omnidirectional images are one of the main sources of information for learning-based scene understanding algorithms. However, annotated datasets of omnidirectional images cannot keep the pace of these learning-based algorithms development. Among the different panoramas and in contrast to standard central ones, non-central panoramas provide geometri...
Jaafar, Salwana Md Sukri, Rahayu Sukmaria
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Data in brief
This article describes distinctive soil properties within three Bornean tropical heath forest habitats associated with Acacia invasion in Brunei Darussalam. The data was systematically collected from eighteen 20 × 20 m plots set up within an Acacia mangium plantation, the adjacent intact heath forest, and Acacia mangium invaded heath forest. Within...
Huang, Mei-Ling Chen, You-An
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Data in brief
Citrus fruits are a specialty of the subtropical region and are currently the most widely cultivated and produced fruits in Taiwan. They contain a wealth of vitamins and minerals, including vitamin C, potassium, magnesium, and more, offering anti-inflammatory and antioxidant benefits. Citrus plants are among the economically significant fruits in T...
Gallego-Rudolf, Jonathan Corsi-Cabrera, María Concha, Luis Ricardo-Garcell, Josefina Pasaye-Alcaraz, Erick
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Data in brief
We introduce an open access, multimodal neuroimaging dataset comprising simultaneously and independently collected Electroencephalography (EEG) and Magnetic Resonance Imaging (MRI) data from twenty healthy, young male individuals (mean age = 26 years; SD = 3.8 years). The dataset adheres to the BIDS standard specification and is structured into two...
Sabouri, Mohammadreza Sepidbar, Alireza
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Data in brief
The SUT-Crack dataset (Sharif University of Technology Crack Dataset) presents a collection of high-quality images depicting asphalt pavement cracks specifically designed to facilitate crack detection using various deep learning methods, including classification, object detection, segmentation, etc. During the dataset creation process, careful cons...
Corraya, Sonia Mamun, Shamim Al Kaiser, M Shamim
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Data in brief
The 'Learning Meta-Learning' dataset presented in this paper contains both categorical and continuous data of adult learners for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of the imposter phenomenon, and multiple intelligences. Convenience sampling and Simple Random Sampling met...
Baba, Shahnawaz A Labhsetwar, Shreyas Klemke, Richard Desgrosellier, Jay S
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Data in brief
These data show the relative amount of chromosomal instability (CIN) in a diverse array of human breast cell types, including non-transformed mammary epithelial cells as well as cancer cell lines. Additional data is also provided from human embryonic and mesenchymal stem cells. To produce this dataset, we compared a published chromosomal instabilit...
Campo, Adriaan Michałko, Aleksandra Van Kerrebroeck, Bavo Leman, Mark
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Data in brief
This dataset comprises motion capture, audio, and questionnaire data from violinists who underwent four augmented reality training sessions spanning a month. The motion capture data was meticulously recorded using a 42-marker Qualisys Animation marker set, capturing movement at a high rate of 120 Hz. Audio data was captured using two condenser micr...
Wolfe, William W Murgulet, Dorina Gyawali, Bimal Sterba-Boatwright, Blair
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Data in brief
The dataset features radon-222 (222Rn), a radioactive tracer naturally present and frequently employed to assess submarine groundwater discharge (SGD). This collection is part of a study aimed at refining SGD estimations in shallow estuaries through the prediction of 222Rn variations using accessible hydroclimatic parameters [1]. The dataset includ...
