Data in Brief最新文献

{"title":"A dataset on public participation intention in smart city development among Vietnamese citizens.","authors":"Thi Thanh Hoa Phan, Ho Diem Chau Nguyen, Le Trung Duong, Thi Yen Nhi Pham, Minh Tam Bui, Viet Hoang Le, Van Trung Tran","doi":"10.1016/j.dib.2026.113211","DOIUrl":"https://doi.org/10.1016/j.dib.2026.113211","url":null,"abstract":"<p><p>Our research presents a survey dataset on Vietnamese citizen's public participation intention in smart city development. The data was collected from residents living in three major urban areas in Viet Nam, namely Ha Noi, Da Nang, and Ho Chi Minh, which represent different contexts of smart city development. The survey was designed based on the smart city perception framework encompassing six dimensions such as Smart Economy, Smart People, Smart Governance, Smart Mobility, Smart Environment, and Smart Living combined with the Technology Acceptance Model (TAM), including its main components of perceived usefulness, perceived ease of use, and public participation intention in a smart city. In addition, trust in the new local government was implemented as a unique feature in the research model. Besides the theoretical constructs, the survey also collected respondents' demographic information, such as gender, age, educational level, workplace, and area of residence to support control analyses and comparisons across population groups. A total of 846 valid responses were retained for analysis. The dataset provides valuable empirical evidence for research on smart cities, technology acceptance behavior, and is available for comparative analyses across population groups and urban contexts in Viet Nam.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113211"},"PeriodicalIF":1.9,"publicationDate":"2026-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13579695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148988519","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 high-resolution daily climate time series for Germany (1981-2100).","authors":"Kilian Hochholzer, Christina Dollinger, Marc Grünig, Rupert Seidl, Werner Rammer","doi":"10.1016/j.dib.2026.113218","DOIUrl":"10.1016/j.dib.2026.113218","url":null,"abstract":"<p><p>The presented dataset is a high-resolution (1 × 1 km) daily climate time series for Germany covering the period 1981-2100 across a historic and nine CMIP5 climate change scenarios. The dataset is based on EURO-CORDEX projections from three Earth system models (ICHEC-EC-EARTH, MPI-M-ESM-LR, and NCC-NorESM1-M) under three representative concentration pathways (RCP 2.6, 4.5, and 8.5) and was bias-corrected against observational data from the German Weather Service (DWD). To reduce data volume in climate impact studies, the 355,944 1 × 1 km grid cells were aggregated into 10,000 spatial clusters based on multi-annual averages of five key variables for plant growth, specifically, temperature (minimum and maximum), precipitation, global radiation and vapor pressure deficit. The resulting dataset provides for each cluster nine daily climate time series of said variables until the end of the 21st century. The dataset is stored in SQLite databases and accompanied by a map relating representative climate clusters to the 1 km grid cells. To our knowledge, this is the first Germany-wide dataset that provides ready to use daily climate projections until 2100 at 1 km resolution with a climate-cluster representation that reduces computational demand, while keeping climatic variability.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113218"},"PeriodicalIF":1.9,"publicationDate":"2026-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591050/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149015968","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":"Local electricity pricing across Sweden: data and method.","authors":"Gabriella Grenander, David Daniels","doi":"10.1016/j.dib.2026.113191","DOIUrl":"https://doi.org/10.1016/j.dib.2026.113191","url":null,"abstract":"<p><p>This dataset provides hourly commercial electricity prices for all locations in Sweden for 2019-2024; all prices are nominal. It combines wholesale market prices with local distribution network power tariffs in a reproducible processing pipeline. Wholesale electricity prices originate from the Nord Pool day‑ahead market and vary hourly in each of Sweden's four bidding areas (SE1-SE4). Grid tariffs, by contrast, are determined by the local DSOs responsible for operating Sweden's electricity distribution grids. As of 2025, 145 DSOs operate within 310 non‑overlapping network concession areas in Sweden, and each may determine distinct tariff structures. Grid tariff data were imported from the Swedish Energy Markets Inspectorate's (EI's) reporting entity (RE/REL) tables, covering fixed fees, energy-based charges, subscribed-capacity components, and high-load definitions for capacity-based commercial customers. Additional tariff attributes not explicitly encoded in EI's workbook-such as high-load months and hours or capacity definitions-were collected from DSO websites and compiled in a structured JSON file. All data were cleaned, unit-normalized, time-aligned and organized using Python. The resulting dataset includes hourly wholesale prices, harmonized tariff components, machine-readable tariff rules. The processing framework accepts either 24-hour template load profiles (expanded automatically to annual resolution) or full 8760-hour load profiles, enabling analysis that preserves seasonal and temporal variation. The resource is designed to support reproducible electricity cost modeling, tariff structure evaluation, and scenario-based analyses of temporal and spatial variation in end user costs. All inputs, scripts, and outputs are openly provided to enable flexible reuse for different load profiles, study areas, and future data extensions.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113191"},"PeriodicalIF":1.9,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13571507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148963167","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 studying the vocabulary of picturebooks: A supplement to the children's picturebook lexicon (CPB-Lex).","authors":"Clarence Green, Kathleen Keogh","doi":"10.1016/j.dib.2026.113200","DOIUrl":"10.1016/j.dib.2026.113200","url":null,"abstract":"<p><p>This data-in-brief article shares a large-scale lexical resource derived from children's picturebook read‑aloud videos publicly available online, supplementing the related Children's Picturebook Lexicon (CPB‑Lex) by substantially increasing corpus size, and providing richer metadata such as genre information. Using automatically generated English closed captions as a proxy for picturebook text, we collected, filtered, and processed 5874 unique read‑aloud transcripts, yielding a dataset of approximately 3.49 million word tokens and 44,617 word types. Each transcript was tokenized and aggregated into document-term matrices (DTMs), one representing the full corpus, and additional DTMs for narrative and informational subsets defined via genre labels assigned by a large language model. From these lexical resources, word, lemma and text frequencies are derived and shared. Additional metadata include video titles, source channels, and view counts (where available), supporting analyses of the different types of picturebook language input patterns for educational, computation and cognitive science research. The dataset enables researchers to estimate children's exposure to specific words and lexical distributions in early shared reading, to select stimuli for experimental work (e.g., lexical decision or naming tasks), and to model aspects of vocabulary growth and reading development. The data is openly available on Mendeley Data, the Open Science Framework and a webpage platform for data sharing: https://cgg-projects.github.io/CPB_LEX/.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113200"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13571272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148963197","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":"Dataset of the palaeozoic (Carboniferous - Permian) Kinta Limestone Pinnacles in Kampar, Perak, Malaysia.","authors":"Wei Chung Khor, Mohd Shafeea Leman, Muhammad Ashahadi Dzulkafli, Nurul Amalina Md Nor, Mat Niza Abdul Rahman","doi":"10.1016/j.dib.2026.113207","DOIUrl":"https://doi.org/10.1016/j.dib.2026.113207","url":null,"abstract":"<p><p>This dataset documents the Paleozoic Carboniferous - Permian Kinta Limestone Pinnacles in Kampar, Perak, Malaysia, preserving a geological record of a now-demolished carbonate formation. It includes sedimentary logs, facies descriptions, fossil records, petrographic images, and X-ray diffraction (XRD) analysis results, enabling in-depth studies on carbonate depositional environments, diagenetic processes, and fossil assemblages. A total of 27 pinnacles were mapped and digitized using ArcGIS 10.8, with seven correlatable pinnacles selected for detailed sedimentary logging (1:10 scale). Key attributes recorded include lithology, sedimentary structures, texture, fossil content, and diagenetic indicators, classified into five distinct facies. Hand samples were analysed using XRD to determine mineralogical composition. Given the extensive recrystallization of the limestone, thin-section observations were challenging. Fossils including fusulinids, corals, and brachiopods were documented through macro-photography for further identification. This dataset is valuable for paleoenvironmental reconstructions and comparative carbonate studies, ensuring continued access to critical geological information despite the loss of the physical site.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113207"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13572062/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148966907","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":"Standardizing mercury litterfall and throughfall data for comparative research: Introducing the MFallDa global database.","authors":"Laura Sereni, Erfan Jahangir, Xinbin Feng, Ivan J Fernandez, Anne-Hélène Fostier, David Grigal, Antía Gómez-Armesto, Randy Kolka, John Munthe, Tomáš Navrátil, Juan Carlos Nóvoa-Muñoz, Andrea Parente-Sendín, Xabier Pontevedra-Pombal, Emmanoel Vieira Silva-Filho, Hélène Angot","doi":"10.1016/j.dib.2026.113206","DOIUrl":"https://doi.org/10.1016/j.dib.2026.113206","url":null,"abstract":"<p><p>Vegetation plays a pivotal role in the global mercury (Hg) cycle through the uptake of atmospheric Hg and its subsequent transfer to soils via litterfall (LF), as well as through Hg deposition on leaf surfaces that is washed off by precipitation and throughfall (TF). Yet, global LF and TF fluxes to soils remain poorly constrained, particularly across biomes and climate regions. Moreover, methylmercury (MeHg), that is the most bioavailable and toxic form of Hg, has long been overlooked in terrestrial Hg budgets despite its non-negligible contribution. This database is the first effort to systematically compile and harmonize all available data on total Hg (THg) and MeHg concentrations and fluxes in LF and TF, ensuring that only datasets with comparable sampling protocols are included. The result is the first global Mercury litter- and throughFall Database (MFallDa, https://doi.org/10.5281/zenodo.21979623). The dataset includes measurements collected between 1987 and 2024 from 147 sites spanning all major biomes, together with metadata on ecosystem type, sampling protocols, precipitation, wet deposition, and Köppen-Geiger climate classification. MFallDa provides an open-access, standardized resource to improve spatially explicit estimates of vegetation-mediated Hg inputs to soils, and refine inter- and intra-site Hg budgets. To facilitate community data sharing and ensure regular updates, a contribution template is provided and the database is hosted on GitHub enabling collaborative input from the global research community. By collecting and standardizing these critical data, MFallDa addresses a key data gap, thereby supporting more robust assessments of vegetation-mediated Hg budgets.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113206"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13579965/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148988526","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":"Dataset of B-vitamins and selected one-carbon and sulfur-containing metabolites in maternal venous and paired umbilical venous and arterial plasma at elective caesarean delivery.","authors":"Viktor Kožich, Jitka Sokolová, Antonín Pařízek, Pavlína Jirásková, Kristýna Nelicová, Jakub Krijt, Samuel Stanovský, Tomáš Honzík","doi":"10.1016/j.dib.2026.113194","DOIUrl":"10.1016/j.dib.2026.113194","url":null,"abstract":"<p><p>This article describes a dataset of B-vitamins and selected one-carbon and sulfur-containing metabolites measured in maternal venous plasma and paired umbilical venous and umbilical arterial plasma collected at delivery from pregnancies completed by elective caesarean section. Maternal venous blood was collected into lithium-heparin tubes during preoperative preparation before peripheral cannula insertion, immediately placed in an ice/water bath, and processed within 60 min. Umbilical venous and umbilical arterial blood were collected at delivery and handled using the same pre-analytical protocol. Plasma samples were stored frozen at -80°C until analysis. The dataset is organized as a sample-level spreadsheet and contains 394 sample rows from 130 Family ID values, including 130 maternal venous (MV), 132 umbilical venous (UV), and 132 umbilical arterial (UA) samples. Recorded variables include sample identifiers, maternal age, haemolysis index, icteric index, and plasma concentrations of methionine, total homocysteine, total cysteine, lanthionine, cystathionine, hypotaurine, taurine, S-sulfocysteine, thiosulfate, total γ-glutamylcysteine, total cysteinylglycine, total glutathione, total vitamin B12, active vitamin B12, methylmalonic acid, folate, glycine, serine, choline, betaine, dimethylglycine, and sarcosine. The spreadsheet structure supports paired maternal-foetal comparisons and foetal venous-arterial comparisons. It also preserves coding for incomplete and censored observations, and threshold-coded values above the reporting range. The dataset is deposited in Mendeley Data under DOI 10.17632/8pp94xm46j.2, with the current public record. These data may be reused in perinatal metabolism research, sulfur metabolism, one-carbon metabolism, vitamin status studies, and secondary analyses of pre-analytical sample quality.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113194"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591051/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149015937","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":"DefectAtlas-20: A real-world image dataset for joint material and surface-condition classification.","authors":"Ricardo Buettner, Leopold Fischer-Brandies, Lukas Pasold, Luca Eisentraut","doi":"10.1016/j.dib.2026.113215","DOIUrl":"10.1016/j.dib.2026.113215","url":null,"abstract":"<p><p>Reliable automated surface inspection requires image datasets that reflect the conditions under which material damage occurs in practice. However, many existing defect datasets focus on individual materials, specific components, or controlled imaging environments, limiting their suitability for studying material-dependent surface defect appearance and their performance robustness under real-world variation. This article presents DefectAtlas-20, a dataset of 13,233 RGB photographs organized into 20 classes formed by combining ten commonly encountered material categories with defect and no-defect surface conditions. The materials comprise uncoated and coated metal, uncoated and coated wood, rubber, textile, cardboard, glass, cable, and hard plastic. Images were acquired using consumer mobile devices in heterogeneous indoor and outdoor field environments around Hamburg, Germany. They capture variation in illumination, viewing angle, background, object geometry, surface texture, reflectance, and usage condition. The defect classes contain naturally occurring damage, while the corresponding no-defect classes show visually comparable surfaces without visible defects. All images were collected according to a predefined protocol, manually labeled, independently reviewed, centrally quality-controlled, anonymized through metadata removal, and converted to lossless PNG format in the sRGB color space. The released data package includes 512 × 512-pixel images, class and acquisition metadata, and documentation of the collection and curation process. The dataset provides a benchmark for 20-class material-condition classification and additionally supports binary defect recognition, material classification, material-specific defect analysis, transfer learning, and domain-generalization research. Its material diversity and real-world acquisition conditions facilitate the development and evaluation of computer-vision methods for surface inspection, maintenance, refurbishment, and damage assessment.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113215"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13571519/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148963248","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":"Dataset on mobile video game engagement, gamer experience, and behavioral intentions among Indonesian gamers in a transient educational hub using PLS-SEM.","authors":"Fyona Chelindiva, Vita Megawati, Laurence","doi":"10.1016/j.dib.2026.113212","DOIUrl":"10.1016/j.dib.2026.113212","url":null,"abstract":"<p><p>This paper presents a dataset examining mobile video game engagement and gamer experience among Indonesian gamers residing in a transient educational hub, Kampung Inggris, Pare, Kediri, East Java. Data were collected through an online questionnaire distributed to 202 valid respondents belonging to the Millennial (born 1981-1996) and Generation Z (born 1997-2012) cohorts who had actively played video games within the past year. The dataset captures thirteen constructs: Telepresence (TP), Focused Attention (FA), Role Projection (RP), Fantasy Fulfillment (FF), Emotional Involvement (EI), Enjoyment (EJ), Arousal (AR), Gamer Experience (GE), Video Game Engagement (VGE), Intention to Continue Playing (ICP), Intention to Purchase Game Items (IPI), Intention to Engage in Word-of-Mouth (IWOM), and Intention to Recruit New Players (IRN), measured across 72 Likert-scale indicators. Analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The dataset package includes raw survey data, a cleaned PLS-ready input file, SmartPLS algorithm output, bootstrapping results, Importance-Performance Map Analysis (IPMA) output, PLSpredict results, questionnaire items, English and Bahasa Indonesia versions of the questionnaire, and informed consent. This dataset is a resource for researchers investigating affect-related engagement, behavioral intentions, and social gaming dynamics within mobile and peer-concentrated digital environments.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113212"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13571501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148963189","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":"Profiling visual health of young adults in Ghana: a university-based eye screening survey.","authors":"Enyam K A Morny, Emmanuel Adator, Carl Halladay Abraham, Dillys A D Amega, Solomon Edziah, Fidelis Kuebutornye, Kojo Essel-Amoah, Stephen Ocansey, Charles Darko-Takyi, Michael Ntodie, Selina Holdbrook, Obed Amoah-Smith, Stephen Moore, Louise Terry","doi":"10.1016/j.dib.2026.113202","DOIUrl":"10.1016/j.dib.2026.113202","url":null,"abstract":"<p><p>This article describes a consolidated dataset derived from a two-year university-based eye screening program conducted between 2024 and 2025 in Ghana. The purpose of the study was to establish a baseline dataset from routinely collected eye screening data to support future analyses of ocular health patterns among young adults in Ghana. The dataset comprises anonymized self-reported questionnaire responses and corresponding clinical eye examination findings from 2493 first-year university students aged 18 years and above who completed both components of the screening. Questionnaire data captured demographic characteristics, visual symptoms, spectacle use, digital device exposure, and self-reported ocular history, while clinical data include visual acuity measurements, refractive findings, binocular vision assessments, ocular motility, pupillary responses, confrontational visual fields, anterior and posterior segment findings, intraocular pressure measurements, and screening outcomes. All data are provided in a single spreadsheet file in raw format, with each entry representing a participant with a unique anonymized identifier. No personally identifiable information is included. The dataset is publicly available via Mendeley Data and is intended to support secondary analyses, method development, and comparative studies in vision science, public health, and ophthalmic research, particularly within low-resource and university screening settings.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"68 ","pages":"113202"},"PeriodicalIF":1.9,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13571264/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148963232","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}