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You searched for: Journal name Data in Brief Remove constraint Journal name: Data in Brief Publication year rev 7978-2022 Remove constraint Publication year rev: 7978-2022 Source 2022 v.40 Remove constraint Source: 2022 v.40
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1. A comprehensive dataset describing nurse's emotions, perceived stressors and coping mechanisms during the first surge of the COVID-19 pandemic

Author:
Suzanne Rose; Josette Hartnett; Seema Pillai
Source:
Data in Brief 2022 v.40 pp. 107814
ISSN:
2352-3409
Subject:
COVID-19 infection; data collection; hospitals; pandemic; questionnaires; risk
Abstract:
... A comprehensive and validated questionnaire modified from previous epidemics [1,2] was distributed to frontline HCWs at high risk for COVID-19 at our community-based teaching hospital, the epicenter of the pandemic in our state. Results of the full analysis were previously reported [3] indicating that our nursing staff were more likely to report feelings of stress, emotional exhaustion and fatigue ...
DOI:
10.1016/j.dib.2022.107814

2. A database and framework for carbon ore resources and associated supply chain data

Author:
Devin Justman; Michael Sabbatino; Scott Montross; Scott Pantaleone; Andrew Bean; Kelly Rose; Randal B. Thomas
Source:
Data in Brief 2022 v.40 pp. 107761
ISSN:
2352-3409
Subject:
Internet; carbon; coal; data collection; databases; geochemistry; infrastructure; spatial data; supply chain
Abstract:
... The Carbon Ore Resources Database (CORD) is a working collection of 399 data files associated with carbon ore resources in the United States. The collection includes spatial/non-spatial, filtered, processed, and secondary data files with original data acquisition efforts focused on domestic coal resources. All data were acquired via open-source, online sources from a combination of 18 national, st ...
DOI:
10.1016/j.dib.2021.107761

3. A high-resolution mass spectrometry based proteomic dataset of human regulatory T cells

Author:
Harshi Weerakoon; John J. Miles; Ailin Lepletier; Michelle M. Hill
Source:
Data in Brief 2022 v.40 pp. 107687
ISSN:
2352-3409
Subject:
computer software; data collection; flow cytometry; homeostasis; humans; immunosuppression; magnetism; mass spectrometry; monoclonal antibodies; proteome; proteomics; therapeutics
Abstract:
... Regulatory T cells (Tregs) play a core role in maintaining immune tolerance, homeostasis, and host health. High-resolution analysis of the Treg proteome is required to identify enriched biological processes and pathways distinct to this important immune cell lineage. We present a comprehensive proteomic dataset of Tregs paired with conventional CD4⁺ (Conv CD4⁺) T cells in healthy individuals. Treg ...
DOI:
10.1016/j.dib.2021.107687

4. A new hourly dataset for photovoltaic energy production for the continental USA

Author:
Weiming Hu; Guido Cervone; Andre Merzky; Matteo Turilli; Shantenu Jha
Source:
Data in Brief 2022 v.40 pp. 107824
ISSN:
2352-3409
Subject:
data collection; power generation; solar energy; solar radiation; weather forecasting
Abstract:
... This new dataset is an ensemble of solar photovoltaic energy production simulations over the continental US. The simulations are carried out in three steps. First, a weather forecast system is used for the predictions of incoming insolation; then, forecast ensembles with 21 members are generated using the Analog Ensemble technique; finally, each ensemble member is used to simulate 13 different sol ...
DOI:
10.1016/j.dib.2022.107824

5. Bogazici university smartphone accelerometer sensor dataset

Author:
Erhan Davarcı; Emin Anarım
Source:
Data in Brief 2022 v.40 pp. 107833
ISSN:
2352-3409
Subject:
accelerometers; adults; biometry; children; data collection; females; males; mobile telephones; motivation
Abstract:
... Mobile devices especially smartphones have gained high popularity and become a part of daily life in recent years. Therefore, there are many studies that investigate users' interactions with smartphones and try to extract meaningful information from various inputs. Actually, the main motivation behind these studies is the behavioral differences of users in their interactions with smartphones. In t ...
DOI:
10.1016/j.dib.2022.107833

6. Brief dataset on chemical and mechanical properties of Corypha utan leaf fiber-reinforced composite with alkaline and silane treatment

Author:
Kholqillah Ardhian Ilman; Agung Setyo Darmawan; Muhammad Ali Rofiq; Yan Anton Prayoga; Iman Nasucha; Rudy Faizal
Source:
Data in Brief 2022 v.40 pp. 107714
ISSN:
2352-3409
Subject:
Corypha; Fourier transform infrared spectroscopy; data collection; leaves; plant fibers; polyesters; silane
Abstract:
... This paper presents the chemical and mechanical properties of Corypha utan leaf fiber (CULF) subjected to different chemical treatments for reinforced composite materials. Natural fibers are currently considered as an alternative constituent for composite reinforcement due to their friendly environment character. The CULF were chemically treated during a pre-fabrication process using NaOH, and 3-( ...
DOI:
10.1016/j.dib.2021.107714

7. Brno urban dataset: Winter extension

Author:
Adam Ligocki; Ales Jelinek; Ludek Zalud
Source:
Data in Brief 2022 v.40 pp. 107667
ISSN:
2352-3409
Subject:
data collection; industry; radar; snow; traffic; Czech Republic
Abstract:
... This paper presents our latest extension of the Brno Urban Dataset (BUD), the Winter Extension (WE). The dataset contains data from commonly used sensors in the automotive industry, like four RGB and single IR cameras, three 3D LiDARs, differential RTK GNSS receiver with heading estimation, the IMU and FMCW radar. Data from all sensors are precisely timestamped for future offline interpretation an ...
DOI:
10.1016/j.dib.2021.107667

8. Citizen science at public libraries: Data on librarians and users perceptions of participating in a citizen science project in Catalunya, Spain

Author:
Anna Cigarini; Isabelle Bonhoure; Julián Vicens; Josep Perelló
Source:
Data in Brief 2022 v.40 pp. 107713
ISSN:
2352-3409
Subject:
citizen science; focus groups; landscapes; libraries; surveys; Spain
Abstract:
... As libraries struggle to keep pace with the changing societal landscape, emerging practices such as citizen science (CS) initiatives are being incorporated to reinforce the idea of public libraries as gathering, meeting, and collaboration spaces within the context of shared community and shared learning resources. However, there is little empirical evidence of whether the most open and participato ...
DOI:
10.1016/j.dib.2021.107713

9. Common writings of baby names in Japan, 1989–2003: Explanation of survey data

Author:
Yuji Ogihara
Source:
Data in Brief 2022 v.40 pp. 107678
ISSN:
2352-3409
Subject:
Japan; empirical research; gender; life insurance; surveys
Abstract:
... Previous research on Japanese names has analyzed the surveys on baby names conducted by Meiji Yasuda Life Insurance Company. The company displayed the yearly top 10 common writings of baby names between 1989 and 2003. However, it was unclear how the surveys for those 15 years were conducted. The data are necessary to evaluate the usableness of the surveys and conduct empirical research. Therefore, ...
DOI:
10.1016/j.dib.2021.107678

10. Curation of an international drug proprietary names dataset

Author:
Mohammad A. Khaleel; Amer Hayat Khan; S.M. Sheikh Ghadzi; Sami Alshakhshir
Source:
Data in Brief 2022 v.40 pp. 107701
ISSN:
2352-3409
Subject:
Internet; data collection; drugs; health services; researchers; trade
Abstract:
... A drug dataset containing international proprietary names is essential for researchers investigating different drugs from different countries worldwide. However, many websites on the internet offer free access for a single drug searching service to identify international drug trade names, but not for a list of drugs to be searched and identified. Therefore, it will be problematic if the researcher ...
DOI:
10.1016/j.dib.2021.107701

11. Data about marine area-based management tools to assess their contribution to the UN sustainable development goals

Author:
Elena Gissi; Frank Maes; Zacharoula Kyriazi; Ana Ruiz-Frau; Catarina Frazão Santos; Barbara Neumann; Adriano Quintela; Fátima L. Alves; Simone Borg; Wenting Chen; Maria da Luz Fernandes; Maria Hadjimichael; Elisabetta Manea; Márcia Marques; Froukje Maria Platjouw; Michelle E. Portman; Lisa P. Sousa; Luca Bolognini; Wesley Flannery; Fabio Grati; Cristina Pita; Natașa Văidianu; Robert Stojanov; Jan van Tatenhove; Fiorenza Micheli; Anna-Katharina Hornidge; Sebastian Unger
Source:
Data in Brief 2022 v.40 pp. 107704
ISSN:
2352-3409
Subject:
cultural heritage; data collection; expert opinion; information sources; natural resources conservation; protocols; sustainable development
Abstract:
... 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 fields of marine conservation, fisheries, deep se ...
DOI:
10.1016/j.dib.2021.107704

12. Data for electricity consumption, thermo-physical characteristics of residential buildings in Tehran

Author:
Mahsa Torabi; Sahar Labbafan; Bahareh Farajnia
Source:
Data in Brief 2022 v.40 pp. 107813
ISSN:
2352-3409
Subject:
data collection; electric energy consumption; electricity; energy; issues and policy; prediction; questionnaires; Iran; Middle East; Northern Africa
Abstract:
... This data article presents data related to 100 residential units in Tehran, Iran. For each building the ``average monthly electricity consumption'' data for 190 months has been provided. In addition, some physical characteristics of each building are given in the dataset. Presented data includes collected electricity end-users in residential units as well as thermos-physical characteristics of the ...
DOI:
10.1016/j.dib.2022.107813

13. Data on annotated approximate bilaterally symmetric leaf-off trees based on particle flow simulation and predefined tree crown shape

Author:
Štefan Kohek; Niko Lukač; Damjan Strnad; Ivana Kolingerova; Borut Žalik
Source:
Data in Brief 2022 v.40 pp. 107806
ISSN:
2352-3409
Subject:
data collection; geometry; models; radiative transfer; tree crown; trees
Abstract:
... Trees are natural objects, where deviations through the branches amplify geometric data for 3D representation and bring challenges to various applications dealing with 3D models, such as compression, visualization, symmetry detection, and radiative transfer simulation. This data article describes dataset of approximately symmetric 3D tree models with manually identified predominant symmetry plane ...
DOI:
10.1016/j.dib.2022.107806

14. Data on the effects of ECM rigidity on actomyosin contractility and invadopodia activity in individual versus pairs of head and neck squamous cell carcinoma cells

Author:
Rachel Jerrell; Mitchell Leih; Aron Parekh
Source:
Data in Brief 2022 v.40 pp. 107684
ISSN:
2352-3409
Subject:
biomechanics; extracellular matrix; head and neck squamous cell carcinoma; metastasis; models; proteolysis
Abstract:
... Migration through the extracellular matrix (ECM) is essential for cancer cells to escape the primary tumor and invade neighboring tissues with the potential for metastasis [1]. To penetrate tissue barriers, migrating cancer cells degrade the ECM with actin-rich membrane protrusions called invadopodia [2]. We have previously found that invadopodial ECM degradation is regulated by ECM rigidity in a ...
DOI:
10.1016/j.dib.2021.107684

15. Data to understand the nature of non-covalent interactions in the thiophene clusters

Author:
Alhadji Malloum; Jeanet Conradie
Source:
Data in Brief 2022 v.40 pp. 107818
ISSN:
2352-3409
Subject:
chemical structure; geometry; quantum mechanics; thiophene
Abstract:
... We have reported herein the data to understand the nature and number of non-covalent interactions that stabilize the structures of the thiophene clusters. In addition, we have also provided the optimized Cartesian coordinates of all the structures of the investigated thiophene clusters. Initially, the geometries have been generated using the ABCluster code which performs a global optimization to l ...
DOI:
10.1016/j.dib.2022.107818

16. Dataset for Bitcoin arbitrage in different cryptocurrency exchanges

Author:
Rasa Bruzgė; Alfreda Šapkauskienė
Source:
Data in Brief 2022 v.40 pp. 107731
ISSN:
2352-3409
Subject:
blockchain; data collection; markets
Abstract:
... Bitcoin market's efficiency and liquidity questions are being comprehensively analyzed in scientific literature. This dataset serves academics for deeper analysis of these topics as well as it gives relevant information for spotting and evaluating risks in the market. Moreover, practitioners can benefit from the dataset and use it to identify patterns in the market, discover potential earning capa ...
DOI:
10.1016/j.dib.2021.107731

17. Dataset for corruption risk assessment in a public administration

Author:
Marcelo Oliveira Vasconcelos; Luís Cavique
Source:
Data in Brief 2022 v.40 pp. 107768
ISSN:
2352-3409
Subject:
data collection; federal government; laws and regulations; risk assessment
Abstract:
... This data article describes a dataset of corruption approach and possible variables related, and this dataset was created by integrating eight different systems of Brazilian federal government and Federal District. We present real data from civil servants and militaries to comply with GDPR legislation, the attributes that could identify a person were removed, making the data anonymized. ...
DOI:
10.1016/j.dib.2021.107768

18. Dataset for the synthesis, characterisation and application of cobalt and nitrogen co-doped TiO2anatase nanoparticles on triclosan photodegradation using visible LED light

Author:
Olga Ferreira; Olinda C. Monteiro; Ana M. Botelho do Rego; Ana M. Ferraria; Mary Batista; Elisabete R. Silva
Source:
Data in Brief 2022 v.40 pp. 107696
ISSN:
2352-3409
Subject:
Legionella pneumophila; X-ray photoelectron spectroscopy; antimicrobial properties; cobalt; data collection; decontamination; energy; irradiation; nitrogen; photocatalysts; photolysis; reflectance; remediation; surface area; triclosan; ultraviolet radiation
Abstract:
... The growing threat of emerging waterborne contaminants is a global concern, fuelled in part by the ineffectiveness of current remediation strategies. One of the most prominent remediation strategies is catalytic photodegradation, particularly with TiO₂ nanoparticles (NPs), but its full utilization is hampered by using only UV radiation, which is scarce in sunlight. To fully benefit from the sunlig ...
DOI:
10.1016/j.dib.2021.107696

19. Dataset of Phytochemical and secondary metabolite profiling of holy basil leaf (Ocimum sanctum Linn) ethanolic extract using spectrophotometry, thin layer chromatography, Fourier transform infrared spectroscopy, and nuclear magnetic resonance

Author:
Ulayatul Kustiati; Hevi Wihadmadyatami; Dwi Liliek Kusindarta
Source:
Data in Brief 2022 v.40 pp. 107774
ISSN:
2352-3409
Subject:
Fourier transform infrared spectroscopy; Ocimum tenuiflorum; aldehydes; alkanes; amino acids; benzene; carboxylic acids; data collection; flavonoids; halogens; leaves; magnetism; nitrogen; nuclear magnetic resonance spectroscopy; phenol; saponins; secondary metabolites; spectrophotometers; sterols; sulfur; terpenoids; thin layer chromatography; Indonesia
Abstract:
... Holy basil (Ocimum sanctum Linn) or known also as “kemangi” in Indonesia is a plant commonly used as a herb in Asian countries. It is also medicinal with antipyretic, anti-inflammatory, anti-cancer, and neuroprotective properties. This dataset article provides broad screening of the phytochemical component of Ocimum sanctum ethanolic extract (EEOS) as well as a secondary metabolite profile of EEOS ...
DOI:
10.1016/j.dib.2021.107774

20. Dataset of Stagnant Water and Wet Surface Label Images for Detection

Author:
Sonali Bhutad; Kailas Patil
Source:
Data in Brief 2022 v.40 pp. 107752
ISSN:
2352-3409
Subject:
Blacks; cleaning; data collection; disease control; experts; image analysis; monitoring; objectives; surface water; surfaces
Abstract:
... Clean water is one of the essential things in life. The running water in natural forms is considered as clean water. To avoid exposure to countless diseases, it is imperative to separate stagnant water from clean water. Thus the main objective of the proposed paper is to create an image dataset of stagnant water and wet surface to detect stagnant water. Accordingly, we considered stagnant water im ...
DOI:
10.1016/j.dib.2021.107752