Data in Brief最新文献

{"title":"GLD-IPOR Malawi COVID-19 panel survey dataset","authors":"Erica Ann Metheney,&nbsp;Victor Saidi Phiri,&nbsp;Samuel Tafesse Wakuma","doi":"10.1016/j.dib.2025.111485","DOIUrl":"10.1016/j.dib.2025.111485","url":null,"abstract":"<div><div>March 2020 marked a critical juncture for Malawi as the nation confirmed its initial COVID-19 cases. In response, the government imposed stringent measures including travel restrictions, bans on large gatherings, and the creation of emergency management committees to mitigate the spread of the virus. Concurrently, Malawi navigated a significant political event—the June 2020 presidential election—following the annulment of the previous year's election results.</div><div>To document the range of responses by Malawian citizens to these COVID-19 containment strategies and how their livelihoods and political engagement were affected, a three-wave survey was conducted. Captured in the GLD-IPOR Malawi COVID-19 Panel Survey Dataset, this effort provides detailed insights into public knowledge and perceptions of COVID-19, socio-economic and health vulnerabilities prompted by the pandemic, citizens' adherence to public health directives, and engagement during this crisis. Notably, the survey waves were aligned with the June 23, 2020, presidential electoral cycle: wave one occurred during the pre-election period, and wave two immediately followed the election. The dataset, which includes 13,696 observations collected over all three rounds offers a comprehensive understanding of local variation in responses – particularly in terms of social stigmatization, enforcement of containment measures, and political participation – during a period marked by both public health challenges and political transitions.</div><div>This dataset can be leveraged to offer actionable insights and opportunities for examining resilience and vulnerabilities during different stages of health crises. Furthermore, merging this dataset with the Local Governance Performance Index (LGPI) survey datasets from 2016 and 2019, or the forthcoming project ``Survive, Thrive, or Deprive? Drivers and Outcomes of Resilience During the COVID-19,'' can facilitate a detailed examination of governance and development issues before, during, and after the pandemic.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111485"},"PeriodicalIF":1.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring brain health knowledge and practices in young adults in Cuba: Dataset","authors":"Yunier Broche-Pérez ,&nbsp;Diego D. Díaz-Guerra ,&nbsp;Marena de la C. Hernández-Lugo ,&nbsp;Zoylen Fernández-Fleites ,&nbsp;Carlos Ramos-Galarza","doi":"10.1016/j.dib.2025.111479","DOIUrl":"10.1016/j.dib.2025.111479","url":null,"abstract":"<div><div>Understanding brain health is crucial, particularly in the context of emerging public health challenges. In this scenario, this dataset aims to provide insights into Cuban youth's perceptions and awareness of brain health. The database includes information from 1, 049 Cuban participants aged between 18 and 45 years. The database is the result of a cross-sectional study conducted online, between June 30 and December 12, 2022. To explore conceptions of brain health among the Cuban population, the study utilized ``The Global Brain Health Survey''. The primary aim of this survey is to examine attitudes toward brain health and to identify factors that may encourage individuals to adopt brain health practices. By identifying knowledge gaps and misconceptions, this study highlights opportunities for improving public health initiatives tailored to this demographic. Understanding the perceptions of young people is critical, as many brain disorders develop long before clinical symptoms appear. The findings aim to inform strategies that enhance awareness and prevention efforts, ultimately contributing to better brain health outcomes among Cuban youth.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111479"},"PeriodicalIF":1.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification","authors":"Oshana Iddi Dissanayake ,&nbsp;Sarah E. McPherson ,&nbsp;Joseph Allyndrée ,&nbsp;Emer Kennedy ,&nbsp;Pádraig Cunningham ,&nbsp;Lucile Riaboff","doi":"10.1016/j.dib.2025.111462","DOIUrl":"10.1016/j.dib.2025.111462","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, group relocation, etc.) and diseases (respiratory diseases, diarrhea, etc.) is a promising way to improve calf welfare in dairy farms. A classic approach to automatically monitoring behavior is to equip animals with accelerometers attached to neck collars and to develop machine learning models from accelerometer time series. However, this accelerometer time series data must be aligned with labels describing behaviors (gold standard) to be used for model development. Obtaining these labels requires annotating behaviors from direct observations or videos, which is highly time-consuming and labor-intensive. In addition, accurate alignment between accelerometer data and behaviors is always challenging due to time synchronization issues. However, the procedure used for the timestamp alignment has not been described in other studies. We introduce &lt;strong&gt;ActBeCalf&lt;/strong&gt;: &lt;em&gt;Accelerometer Time-Series Dataset for Calf Behavior classification&lt;/em&gt; to address this challenge. Thirty pre-weaned dairy calves (Holstein Friesian and Jersey) housed in 4 group pens at Teagasc Moorepark Research Farm (Fermoy, Co. Cork, Ireland) were equipped with a 3D-accelerometer sensor (sampling rate: 25 Hz) attached to a neck-collar from one week of birth for 13 weeks. The calves were simultaneously filmed with a high-up camera in each pen. Every 15 days, accelerometers were removed from the collars to recharge the battery, collect the data, and reattached to the neck collar again. At the end of the trial, behaviors were manually annotated from the videos using the Behavioral Observation Research Interactive Software (BORIS) by three observers (Cohen's Kappa = 0.72 ± 0.01) using an ethogram with 23 pre-weaned dairy calves' behaviors. Videos were carefully selected to annotate calves’ behaviors. Observations were synchronized with the accelerometer timestamps using an external clock and aligned to the corresponding accelerometer time series. Thereby, ActBeCalf contains 27.4 h of accelerometer data from 30 pre-weaned calves (age 23.7 ± 10.7 days) aligned adequately with calf behaviors. The dataset includes the main behaviors of the calf time-budget, like lying, standing, walking, and running, as well as less prominent behaviors, such as sniffing, scratching, social interaction, and grooming. The reliability of ActBeCalf was validated by developing two machine learning models designed to classify behaviors into two and four classes, respectively. Good predictive performance was achieved for both models (balanced accuracy: 92 % and 84 %, respectively), thereby confirming ActBeCalf's reliability for model development in the field. The code utilized for the classification is publicly available in the dataset repository. ActBeCalf is a comprehensive, ready-to-use dataset, ideal for advancing research in two key areas: classifying pre-weaned calf behavior to support animal wel","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111462"},"PeriodicalIF":1.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A dataset of yearly probabilistic crop type maps for the EU from 1990 to 2018","authors":"Josef Baumert,&nbsp;Thomas Heckelei,&nbsp;Hugo Storm","doi":"10.1016/j.dib.2025.111472","DOIUrl":"10.1016/j.dib.2025.111472","url":null,"abstract":"<div><div>We provide an ensemble of probabilistic crop type maps for the entire European Union, mapping the shares of 25 different crop types at 1km resolution for all years from 1990 to 2018. We generate the maps using a recently developed approach based on a model of the data generating process from field- to region: essentially, we link knowledge about which crops farmers are more likely to grow under certain environmental conditions with data on regional crop acreages. Consequently, the resulting crop share estimates are consistent with regional crop area statistics while considering spatial heterogeneity. To reflect estimation uncertainty of the provided crop shares, we sample 100 maps per year and EU country, each being coherent with regional or national information. This ensemble of maps allows users to sample from potentially different but similarly likely spatial crop type distributions and thereby adequately reflect uncertainty in their applications, for example, in an environmental model. We additionally provide maps with only the most likely crop shares for users mainly interested in point estimates. The maps provide researchers, policy makers, and other stakeholders information to evaluate the impact of changing political, economic, and environmental conditions over three decades on agricultural production in the European Union.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111472"},"PeriodicalIF":1.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proliferation and gene expression data of rabbit Achilles tenocyte in vitro culture in the presence of high-molecular weight hyaluronic acid (1.01–1.8 MDa)","authors":"Iris Miescher ,&nbsp;Petra Wolint ,&nbsp;Christine Opelz ,&nbsp;Jess G. Snedeker ,&nbsp;Pietro Giovanoli ,&nbsp;Maurizio Calcagni ,&nbsp;Johanna Buschmann","doi":"10.1016/j.dib.2025.111459","DOIUrl":"10.1016/j.dib.2025.111459","url":null,"abstract":"<div><div>Hyaluronic acid (HA) is a natural bio macromolecule and a good bio lubricant. As it is a predominant component of the synovial fluid, the aim was to explore the effects HA on rabbit Achilles tenocytes in vitro. The data set presents proliferation assessed by the Alamar Blue® assay; and gene expression of tenocytes that were cultured either with or without supplementation of high-molecular weight HA in a concentration of 1.4 mg/mL. There was a daily medium exchange with fresh HA supplementation. On days 3, 7 and 14 the following target genes were analysed and manifold induction was calculated against the control (no HA): Biglycan, Decorin, Aggrecan, Collagen 1A1, Collagen 1A2, Collagen 3, LOX, IL-6, TNF-α, PAR-2, ALOX-15, Tenascin-C, Tenomodulin, Mohawk, α-SMA, TIMP-1, MMP-2, MMP-9, and ki67. These data might be interesting for researchers working in the tendon field.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111459"},"PeriodicalIF":1.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photophysiology data from smooth cordgrass (Sporobolus alterniflorus) measured in a North American saltmarsh using pulse amplitude modulated (PAM) fluorescence","authors":"Daniel Conrad Ogilvie Thornton","doi":"10.1016/j.dib.2025.111458","DOIUrl":"10.1016/j.dib.2025.111458","url":null,"abstract":"<div><div>Coastal saltmarshes play an important role as an interface between terrestrial and marine environments. <em>Sporobolus alterniflorus</em> (smooth cordgrass) occurs naturally along the east coast of North America, from Texas to Quebec, where it often forms extensive monospecific stands. <em>Sporobolus alterniflorus</em> is highly productive and is often the dominant plant in terms of biomass. This data set presents variable chlorophyll fluorescence measurements made <em>in situ</em> from the leaves of <em>Sporobolus alterniflorus</em> growing in a tidal saltmarsh ecosystem (North Inlet, South Carolina, United states). Measurements were made using pulse amplitude modulated (PAM) fluorescence. The data include raw measurements of variable fluorescence (<em>F_t</em>) and maximum fluorescence (<em>F’_m</em>) made at 12 different actinic photosynthetic photon flux densities (PPFD). These data were used to calculate the quantum yield of photosystem II <em>(Φ_PSII</em>) and estimate electron transport rates (ETRs). Rapid light curves (RLCs) were fitted to the ETRs to parametrize the relationship between ETR and PPFD in <em>S. alterniflorus</em> under different environmental conditions. Measurements were made from <em>S. alterniflorus</em> culms growing at different positions on the shore and at different times of the day. These data provide a resource for researchers interested in the photophysiology and photosynthesis of <em>Sporobolus alterniflorus</em>, and saltmarsh ecology and management.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111458"},"PeriodicalIF":1.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Teachers' perspectives on the application of technology in mathematics education in primary schools: A dataset from Vietnam","authors":"Quoc Anh Vuong,&nbsp;Dien Thi Bui,&nbsp;Hue Thi Thu Dang,&nbsp;Anh Vinh Le,&nbsp;Duc Lan Do","doi":"10.1016/j.dib.2025.111473","DOIUrl":"10.1016/j.dib.2025.111473","url":null,"abstract":"<div><div>This dataset offers insights into the integration of technology in primary school mathematics education, as perceived and evaluated by primary school teachers in Vietnam. Based primarily on the Technology Acceptance Model (TAM), it covers five key aspects from teachers’ perspectives: (a) Teacher background information, including gender, teaching experience, qualifications, and location; (b) Teachers' views on the role of technology, encompassing AR technology and its application in mathematics education; (c) Practical implementation of technology in primary school mathematics classrooms, detailing tools used, instructional methods, assessment practices, frequency of implementation, and evaluation; (d) Teachers' self-assessment of technology integration effectiveness, including high-tech applications like AR technology in primary school mathematics education; and (e) Teaching conditions related to technology integration and teacher readiness to prepare and utilize technology in mathematics teaching. The survey, conducted online via Google Forms from October to December 2023, involved 11,811 primary school teachers from ten provinces in Vietnam. This dataset aims to provide valuable insights for policymakers and educational administrators to understand the current landscape of technology use in mathematics education. It seeks to inform policy decisions and initiatives related to technology integration, including AR technology in mathematics teaching, and supports efforts to enhance the quality of mathematics instruction. Furthermore, the dataset contributes to evidence-based interventions aimed at supporting teachers' professional development in applying technology in mathematics education. Educational managers and researchers can leverage this dataset to gain insights into pedagogical improvements such as teacher training and policy formulation related to technology integration in mathematics education. Additionally, this dataset can assist educational technology developers in understanding teachers’ needs, readiness, actual use, and practices to develop technology applications for mathematics teaching. Overall, this dataset is valuable in providing an overview of technology applications in mathematics education, supporting educators and policymakers with evidence-based strategies to enhance technology integration, and guiding educational technology developers in aligning future developments with teachers' practical needs and capabilities.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111473"},"PeriodicalIF":1.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A dataset for two-echelon electric vehicle routing problems","authors":"Mehmet Anıl Akbay,&nbsp;Christian Blum","doi":"10.1016/j.dib.2025.111470","DOIUrl":"10.1016/j.dib.2025.111470","url":null,"abstract":"<div><div>This paper introduces a dataset generated for research on Two-Echelon Electric Vehicle Routing Problems (2E-EVRPs) with additional constraints, including time windows, simultaneous pickup and delivery (SPD), and partial deliveries. The dataset is derived from established benchmark instances from the VRP and EVRP literature and further extended using methodologies from the literature. It features diverse scenarios designed to challenge and validate solution approaches proposed for two-echelon routing algorithms under various constraints.</div><div>The dataset comprises a variety of instances, ranging from small (5-15 customers) to large (100 customers), and incorporates different geographical configurations, including clustered, random, and random-clustered distributions. Key modifications include integrating satellite locations, enhanced vehicle configurations concerning electric vehicle (EV) constraints, and adjusting time windows to accommodate the two-echelon structure. The dataset also supports multiple delivery scenarios, allowing for single delivery, simultaneous pickups and deliveries (SPD), and partial deliveries, enabling researchers to test the performance of their algorithms across a range of realistic constraints.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111470"},"PeriodicalIF":1.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Citizen science approach for springshed management: A comprehensive community-driven mapping and dataset of spring sources in Kavre, Nepal","authors":"Srijan Thapa,&nbsp;Anju Pandit,&nbsp;Sanjeev Bhuchar,&nbsp;Madhav Dhakal","doi":"10.1016/j.dib.2025.111466","DOIUrl":"10.1016/j.dib.2025.111466","url":null,"abstract":"<div><div>In the Himalayan region, a reliable and comprehensive spring source dataset is crucial for sustainable water source management, protection of the environment, climate change adaptation efforts, and formation of evidence-based informed policy decisions, where springs play a vital role in local water security. Community Resource Persons (CRPs)- these are local community members, who were trained in springshed management as well as in field data collection and collected the data using a mobile-based ArcGIS Survey123 app. The dataset includes the spring's georeferenced location, water use patterns, source conditions, discharge, basic socio-economic characteristics of dependent communities, and adaptation measures implemented by communities to address water scarcity. By integrating local knowledge and citizen science approaches with state-of-the-art digital technology, the dataset offers valuable insights for sustainable water resource management, highlighting the biophysical, cultural, social, and governance aspects of springs in the drought-prone region. This data can support socio-ecological research inform policymaking targeting water security and efforts aimed at the revival of springs. As the dataset is made publicly available through ICIMOD's Regional Database System (RDS) (<span><span>https://rds.icimod.org/</span><svg><path></path></svg></span>), it will serve as a foundation for the identification of critical springs for long-term monitoring and revival and assessing the impact on water security after the revival of dried springs, which will be important for researchers, policymakers, and conservation practitioners alike.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111466"},"PeriodicalIF":1.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Millimeter-wave radar based sleep posture transition dataset: SPT","authors":"Jinjun Liu ,&nbsp;Shaoqi Li ,&nbsp;Naji Alhusaini ,&nbsp;Wei Li ,&nbsp;Liang Zhao ,&nbsp;Pengfei He","doi":"10.1016/j.dib.2025.111471","DOIUrl":"10.1016/j.dib.2025.111471","url":null,"abstract":"<div><div>In recent years, millimeter-wave radar technology has been widely used for non-invasive recognition and tracking of sleep postures due to its advantages of high accuracy, contactless operation, and ability to penetrate clothing. In order to promote the development of this field and to address the lack of large-scale, high-quality sleep posture transition datasets, this paper proposes a publicly available millimeter-wave sleep posture transition dataset. The dataset contains 20 volunteers (15 males and 5 females) aged between 19 and 25 years, with heights ranging from 1.55 m to 1.80 m and weights between 45 kg and 90 kg. Each participant performed seven different body position transitionmaneuvers in a preset order, yielding a total of 1400 samples. During the experiment, participants' postural changes were captured by a millimeter-wave radar system mounted on the side of the bed. This dataset provides valuable support for the optimization of sleep posture recognition algorithms, analysis of nocturnal behavioral patterns, and health monitoring.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111471"},"PeriodicalIF":1.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}