Data in Brief最新文献

{"title":"Annotated tweet data of mixed Wolof-French for detecting Obnoxious messages","authors":"Ibrahima Ndao ,&nbsp;Khadim Dramé ,&nbsp;Gorgoumack Sambe ,&nbsp;Gayo Diallo","doi":"10.1016/j.dib.2025.111500","DOIUrl":"10.1016/j.dib.2025.111500","url":null,"abstract":"<div><div>Automatic detection of obnoxious (abusive) messages on social networks is complex, especially for low-resource languages and in the case of mixed code, such as Wolof-French. This phenomenon is common in Senegalese tweets, but there is a lack of annotated data to facilitate this task. To fill this gap, we created AWOFRO, the first annotated corpus of 3510 tweets in mixed code. We analysed this corpus and validated the annotations using measures such as Cohen's Kappa.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111500"},"PeriodicalIF":1.0,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777517","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 comprehensive dataset of soccer event images for advancing automatic recognition systems","authors":"Jamal Hussain Shah ,&nbsp;Maira Afzal ,&nbsp;Samia Riaz ,&nbsp;Mussarat Yasmin ,&nbsp;Seifedine Kadry ,&nbsp;Fahad Ahmed Khokhar","doi":"10.1016/j.dib.2025.111518","DOIUrl":"10.1016/j.dib.2025.111518","url":null,"abstract":"<div><div>This article presents a detailed overview of a dataset, created for in-depth analysis of soccer events. This dataset will serve as a foundation for researchers and practitioners in the field, providing a perspective on different soccer events under various views. This soccer dataset is designed to categorize soccer matches into various events and contains 187,151 instances divided across 14 groups. To make this dataset simple, it is separated into two main datasets. The first dataset is known as the “View-Based Dataset.” which is divided into four categories: Long view, Medium view, Short view, and Outer view, for a total of 137,196 images. The second dataset is the “Event-Based Dataset,” which has 10 separate classes that highlight multiple soccer events Red card, Spectator, Yellow card, Plenty stock, Player celebration, Offside, Goal attempt, Goal, and Free kick for a total of 38,728 images. Each class in both datasets helps to provide a full understanding of soccer events. This dataset can serve as a foundation for future video analysis studies, promoting progress in soccer analytics and related domains.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111518"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748366","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 compression after impact testing on carbon fiber reinforced plastic laminates","authors":"Saki Hasebe ,&nbsp;Ryo Higuchi ,&nbsp;Tomohiro Yokozeki ,&nbsp;Shin-ichi Takeda","doi":"10.1016/j.dib.2025.111509","DOIUrl":"10.1016/j.dib.2025.111509","url":null,"abstract":"<div><div>This dataset covers the data obtained from the compression after impact (CAI) tests. Before the CAI tests, the low-velocity impact (LVI) testing was conducted under various experimental conditions (layup, impactor shape, and impact energy) to simulate various foreign object impacts on actual structures. For the CAI tests, both the specimens used in the LVI tests and undamaged specimens were utilized to calculate the strength reduction rate. This dataset includes a test condition list and raw and processed data: 1. LVI test conditions, 2. Specimen size, 3. Specimen appearance after the CAI tests, 4. Raw data obtained from the data logger during the testing, and 5. CAI strength. This dataset is created to seek a way to predict CAI strength using information on damage in CFRP specimens and the experimental condition. The data are helpful for researchers and engineers who are involved in the impact behavior or residual characteristics of CFRP and artificial intelligence.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111509"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748420","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":"MO-NanoDatabase: A metal-oxide nanostructured compound dataset composed of a huge number of metal-oxide nanocompounds, their global properties and 3D-structure","authors":"Francesc Serratosa,&nbsp;Natàlia Segura-Alabart","doi":"10.1016/j.dib.2025.111476","DOIUrl":"10.1016/j.dib.2025.111476","url":null,"abstract":"<div><div>This paper presents the first important recompilation of metal-oxide nanocompounds, which is composed of three main parts: the first one includes several global properties of the nanocompounds whereas the second one includes their 3D structure, represented by the well-known XYZ format. Finally, the third part includes the structural nano QSAR named NanoFingerprint of these 3D structures. Modelling size-realistic metal-oxide nanomaterials to analyse some of their properties, such as chemical activity, solubility, or electronic structure, is a current challenge in computational and theoretical chemistry. Several nano QSAR models have been published based on global properties of these compounds, but few QSAR models also leverage their 3D structure. A general database of nanocompounds is crucial for the validation of current and future models.</div><div>The global properties have been extracted from datasets published as the supporting material of papers that present new models for property prediction of metal-oxide nanocompounds [2–7]. The data has been curated, imposed the same units, formatted and given the same name per property since we realised the low generalisation on units, formats and nomenclature. Note the input parameters of the QSAR models and also the properties to be predicted have been put together as global properties in our database. Moreover, the 3D crystallographic structure has been computed through simulation computer applications of all the compounds since these structures could not be found in most of the cases.</div><div>Since it is the first time that all this knowledge is compiled in a unique database, the purpose of MO-NanoDatabase is to be a reference database for prediction (chemical activity, solubility or electronic structure) of metal-oxide nanocompounds for current and future nano QSART models. Although many nanocompounds have been included, new versions of the database are not discarded if they bring substantial quantity of new nanocompounds presented in future papers.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111476"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696064","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 observables for small modular lead-cooled fast reactor MOX spent nuclear fuel","authors":"Victor J. Casas-Molina ,&nbsp;Pablo Romojaro ,&nbsp;Gwennaelle Nourry ,&nbsp;Gert Van den Eynde ,&nbsp;Luca Fiorito ,&nbsp;Ivan Merino-Rodríguez ,&nbsp;Tom Dhaene ,&nbsp;Ivo Couckuyt","doi":"10.1016/j.dib.2025.111513","DOIUrl":"10.1016/j.dib.2025.111513","url":null,"abstract":"<div><div>Lead-cooled Fast Reactors (LFRs) with mixed-oxide (MOX) fuel are promising candidates in the Generation IV (Gen IV) small modular reactor (SMR) landscape due to their capacity for actinides transmutation, passive safety features, and minimized waste radiotoxicity. For secure management, storage, safeguards, rigorous characterization is necessary. This database was developed to support the optioneering and design of MOX-based lead-cooled fast reactors. This data article introduces a comprehensive dataset of isotopic mass densities, spanning 152 nuclides present in irradiated LFR-MOX fuel, additionally providing insights into fuel characteristics such as activity, decay heat rates, photon emission rates, spontaneous fission rates, and radiotoxicity values across various decay steps.</div><div>Using the Serpent2 Monte Carlo code for fuel depletion calculations, and processed with SerpentTools, the dataset captures inventory data as a function of reactor power, fuel burnup, plutonium vector in the fresh MOX, and decay time at the end of irradiation, enabling analyses of SNF properties. The dataset is stored in Parquet format, including one primary depletion file and 13 decay files.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111513"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715858","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":"OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision","authors":"Youness Hnida ,&nbsp;Mohamed Adnane Mahraz ,&nbsp;Ali Achebour ,&nbsp;Ali Yahyaouy ,&nbsp;Jamal Riffi ,&nbsp;Hamid Tairi","doi":"10.1016/j.dib.2025.111515","DOIUrl":"10.1016/j.dib.2025.111515","url":null,"abstract":"<div><div>This article introduces OliveTreeCrownsDb, a comprehensive dataset of high-resolution images captured by a DJI Phantom 4 RTK drone. The dataset includes 46 images covering an entire olive farm, focusing on the detection and analysis of olive tree crowns and supporting segmentation tasks. Each image is accompanied by detailed metadata, such as focal distance, capture altitude, GPS coordinates, and other essential parameters for accurate tree mapping and localization. OliveTreeCrownsDb is publicly accessible, promoting research in precision agriculture, including tree crown detection, segmentation, geometric shape analysis, automation, yield estimation, and computer vision applications. It facilitates the development of innovative algorithms to optimize resource allocation and improve crop management. By enabling studies on tree crown analysis and farm monitoring, OliveTreeCrownsDb advances agricultural technologies and enhances management practices in olive cultivation.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111515"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748648","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":"Jellyfish and comb jellies in the Baltic Sea: Depth resolved distribution pattern along the salinity gradient of the Baltic Sea during September 2020 - dataset","authors":"Cornelia Jaspers ,&nbsp;Helena Hauss ,&nbsp;Hans-Harald Hinrichsen","doi":"10.1016/j.dib.2025.111511","DOIUrl":"10.1016/j.dib.2025.111511","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The biodiversity and distribution of gelatinous macrozooplankton was assessed in the Baltic Sea during September 2020. The dataset includes 40,601 species-specific gelatinous macrozooplankton records, representative of 236,329 gelatinous organisms caught across 73 stations in the south-western, central and northern Baltic Sea. Focus was devoted to changes in depth distributions in relation to salinity and an extended oxygen depletion event in the south-western Baltic Sea. In total, 56 Multinet-midi casts (5 depth-strata), 4 Multinet-maxi casts (9 depth-strata), as well as 17 bongo and 52 WP2 casts were performed from the surface to &gt;3 m above the bottom. Data include depth resolved information on the abundance (m&lt;sup&gt;−3&lt;/sup&gt; and m&lt;sup&gt;−2&lt;/sup&gt;) and size structure of (&lt;em&gt;i&lt;/em&gt;) the non-indigenous ctenophore &lt;em&gt;Mnemiopsis leidyi&lt;/em&gt; - including larvae (1–3 mm), transitional (4-5 mm), young adult (6–9 mm) and adult (≥10 mm) ctenophores, as well as the native scyphozoan jellyfish species (&lt;em&gt;ii) Aurelia aurita&lt;/em&gt; and (&lt;em&gt;iii) Cyanea capillata&lt;/em&gt;. Additionally, the zooplankton community is described from WP2 nets including species-specific size and biomass data. In total 40,601 individual gelatinous macrozooplankton specimens from samples and sub-samples were analyzed (raw-counts) with 39,771 &lt;em&gt;Mnemiopsis leidyi&lt;/em&gt; (corrected-count 235,499), 744 &lt;em&gt;Aurelia aurita&lt;/em&gt; and 86 &lt;em&gt;Cyanea capillata&lt;/em&gt; records.&lt;/div&gt;&lt;div&gt;We provide a detailed account of catchability of different life-stages and comparison of different net types. In general, at 89 % of the stations, adult &lt;em&gt;M. leidyi&lt;/em&gt; were caught, at an average ( ± SD) density of 1.27 ± 0.97 ind m&lt;sup&gt;−3&lt;/sup&gt; station&lt;sup&gt;−1&lt;/sup&gt; (max 8.4 ind m&lt;sup&gt;−3&lt;/sup&gt;, Flensburg Fjord at 10-7.5m). Young &lt;em&gt;M. leidyi&lt;/em&gt; adults were caught at 78 % of the stations with 3 ± 2.4 ind m&lt;sup&gt;−3&lt;/sup&gt; station&lt;sup&gt;−1&lt;/sup&gt; (max 29.4 ind m&lt;sup&gt;−3&lt;/sup&gt;, Eckernförde Bight, south of Flensburg Fjord at 0–2.5 m), but were absent from the northern Arkona Basin and east of Bornholm. At 71 % of the stations, transitional &lt;em&gt;M. leidyi&lt;/em&gt; were caught at an average density of 19.2 ± 21.8 ind m&lt;sup&gt;−3&lt;/sup&gt; station&lt;sup&gt;−1&lt;/sup&gt; (max 129.2 ind m&lt;sup&gt;−3&lt;/sup&gt;, WP2, Kiel Bight). Transitional &lt;em&gt;M. leidyi&lt;/em&gt; were additionally absent from the central Arkona Basin. &lt;em&gt;M. leidyi&lt;/em&gt; larvae were present at 68 % of all stations, with the maximum density observed in Kiel Bight with 642 ind m&lt;sup&gt;−3&lt;/sup&gt; (WP2). Generally, high larvae densities with &gt;500 ind m&lt;sup&gt;−3&lt;/sup&gt; were found in the south-western Kiel Bight, with an overall average density of 257 ± 188 ind m&lt;sup&gt;−3&lt;/sup&gt;. Scyphozoan jellyfish species were found at much lower densities. Maximum abundance of &lt;em&gt;A. aurita&lt;/em&gt; was observed in the Arkona Basin (&lt;em&gt;n =&lt;/em&gt; 79 at 4 to 6m), with abundances ranging from 0.003 to 1.7 ind m&lt;sup&gt;−3&lt;/sup&gt; station&lt;sup&gt;−1&lt;/sup&gt;. &lt;em&gt;A. aurita&lt;/em&gt; was primarily found in the upper 30 m, while &lt;em&gt;C. ca","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111511"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of metabolic features derived from the non-polar metabolite UHPLC-QTOF dataset of Jaspis sp. Collected from the waters off Pulau Banggi, Sabah, Malaysia","authors":"Dexter Jiunn Herng Lee ,&nbsp;Yee-Soon Ling ,&nbsp;Christopher Lok Yung Voo ,&nbsp;Mok Sam Lum ,&nbsp;Jualang Azlan Gansau","doi":"10.1016/j.dib.2025.111474","DOIUrl":"10.1016/j.dib.2025.111474","url":null,"abstract":"<div><div>The marine biome is a rich source of bioactive compounds. The discovery of anti-cancer compounds in <em>Cryptotheca crypta</em> in 1950 initiated a wave of bioprospecting efforts focused on marine sponges. <em>Jaspis</em> sp., a marine sponge, has been reported to exhibit anti-cancer activity against human colorectal cancer. A sample of <em>Jaspis</em> sp., collected from the waters off Pulau Banggi, Sabah, Malaysia, was analyzed through a non-polar metabolite survey. The non-polar crude extract was profiled using UHPLC-QTOF in both positive and negative modes. The detected metabolic features were clustered, and representative features were tentatively identified through a combination of spectral database searches (using various MS2 spectral databases) and <em>in silico</em> compound identification. This dataset provides a valuable foundation for future bioprospecting endeavors involving <em>Jaspis</em> sp.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111474"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696173","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":"Biochemostratigraphy of the Eger floodplain (Southern Germany) – detection and quantification of heavy metal contamination and paleoenvironmental conditions: the basic dataset","authors":"Ema Zvara ,&nbsp;Snježana Pejdanović ,&nbsp;Birgit Schneider ,&nbsp;Ella Quante ,&nbsp;Sara Saeidi g.a. ,&nbsp;Diego Volosky ,&nbsp;Tobias Lauer ,&nbsp;Kathryn E. Fitzsimmons ,&nbsp;Sven Marhan ,&nbsp;Ellen Kandeler ,&nbsp;Christian Poll ,&nbsp;Yvonne Oelmann ,&nbsp;Harald Neidhardt ,&nbsp;Susanne Lindauer ,&nbsp;Ronny Friedrich ,&nbsp;Lukas Werther ,&nbsp;Peter Frenzel ,&nbsp;Peter Kühn ,&nbsp;Christoph Zielhofer","doi":"10.1016/j.dib.2025.111501","DOIUrl":"10.1016/j.dib.2025.111501","url":null,"abstract":"<div><div>The current state of floodplains – their morphology, sedimentation regimes and rates, biochemistry and ecosystem health – highlights the interconnectedness of human activities and natural ecosystems. Over the centuries, floodplains have been used for and transformed by many anthropogenic purposes including agriculture, industry and urban development. These activities have resulted in the accumulation of pollutants in highly vulnerable floodplains, yet we understand little about the historical evolution of fluvial anthropospheres. The Eger floodplain study site is located 2 km downstream of the mediaeval city walls of Nördlingen in southern Germany. In the Middle Ages, the city became an important and prosperous urban trade and craft centre due to its location at the crossroads of two major trade routes (Frankfurt-Würzburg-Augsburg and Nürnberg-Ulm). This data manuscript documents four alluvial soil-sediment profiles, NEP 1 to NEP 4, that were excavated and investigated in the floodplain section. The dataset includes grain-size data, element-specific X-ray Fluorescence (XRF) data, anthracological data, quantitative data of mollusc and microfossil assemblages from the sand-sized sediment fraction, pedological field parameters, biogeochemical soil properties and numerical data relating to radiocarbon and luminescence dating. These data provide the basis for reconstructing the Late Holocene biochemostratigraphy of the Eger River floodplain with respect to anthropogenic impacts and paleoenvironmental history.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111501"},"PeriodicalIF":1.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777518","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":"Whole genome sequencing data of greater burdock (Arctium lappa) naturalized in the United States of America","authors":"Danae Kala Rodriguez Bardaji,&nbsp;Girish Kumar,&nbsp;Samantha Tran,&nbsp;Gabriella Fedus,&nbsp;Michael A. Savka,&nbsp;Dawn Carter,&nbsp;André O. Hudson","doi":"10.1016/j.dib.2025.111508","DOIUrl":"10.1016/j.dib.2025.111508","url":null,"abstract":"<div><div>This dataset comprises whole genome sequencing burdock (<em>Arctium lappa</em>) naturalized in a residential yard in Rochester, New York, USA. Total DNA was extracted from a leaf sample and processed using the Illumina Nextera XT DNA library preparation kit. Sequencing on the NextSeq 2000 platform produced 127.4 GB of raw data, yielding 125.8 GB of high-quality reads after filtering, with an average genome coverage of 75x. The genome was assembled de novo into 792,817 contigs, achieving a total genome length of 1,075,454,921 base pairs with a GC content of 37.03 %. Scaffolding against a Chinese <em>A. lappa</em> reference genome improved genome completeness from 49.1 % to 94.93 %, successfully recovering the majority of protein-coding genes.</div><div>Variant analysis identified approximately 20.8 million Single Nucleotide Polymorphisms (SNPs) and 1.3 million indels, including functionally significant mutations. The Internal Transcribed Spacer 2 (ITS2) ribosomal region was isolated and compared with global references, revealing significant genetic differentiation between the U.S.A and Chinese populations. This comprehensive genomic dataset has been deposited in publicly accessible repositories, including National Center for Biotechnology Information (NC and Zenodo. The sequencing of this sample provides a valuable resource for comparative genomics, population genetics, and investigations into bioactive compounds with antimicrobial properties, supporting agricultural and pharmaceutical applications. Direct access to the dataset is available at <span><span>10.5281/zenodo.14607136</span><svg><path></path></svg></span></div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111508"},"PeriodicalIF":1.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696167","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}