Data in Brief最新文献

{"title":"Introducing OpenTextile-NIR: Near-infrared hyperspectral imaging and photography dataset for optical identification of textiles","authors":"Tuomas Sormunen ,&nbsp;Ella Mahlamäki ,&nbsp;Satu-Marja Mäkelä ,&nbsp;Mikko Mäkelä","doi":"10.1016/j.dib.2026.112559","DOIUrl":"10.1016/j.dib.2026.112559","url":null,"abstract":"<div><div>This dataset presents the first open-access collection of near-infrared hyperspectral imaging (NIR-HSI) data for the optical identification of textiles, with a focus on supporting research in sensor-based textile sorting and recycling. The dataset comprises hyperspectral images, RGB photographs, and detailed metadata, including fibre composition and colour, for 71 post-industrial textile samples, collected in Finland. Over 11 million spectra are included in the hyperspectral images, with more than 6 million annotated, providing a robust foundation for machine learning and data analysis. In addition, we provide a single representative NIR spectra and RGB value for each sample in order to accommodate classic spectroscopic analysis.</div><div>Used garments were sourced from a partner company specializing in end-of-life textile management, with ground truth information on fibre composition obtained from suppliers. Small pieces of each garment were measured using Specim SWIR 3 hyperspectral camera and photographed with high-resolution mobile phone camera (Samsung Galaxy A52). The dataset is organized into folders containing raw and processed data, including ENVI-format hyperspectral images, RGB images, as well as CSV files with mean spectra, mean RGB values, and sample metadata. An example Python script is provided to facilitate data access and processing.</div><div>Potential reuse scenarios include classification of textiles by material or colour, prediction of natural fibre content, image segmentation, algorithm development for spectral classification, and use as a reference spectral library. The dataset’s comprehensive structure and open availability address the limitations of previous research, which often relied on small or non-public datasets, and is intended to accelerate advances in optical identification technologies for textile recycling.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112559"},"PeriodicalIF":1.4,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185074","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":"Gut microbiomes of wild and domesticated mammals and birds in Slovenia, Europe: 16S rRNA sequencing data","authors":"Zlender Tanja ,&nbsp;Rupnik Maja","doi":"10.1016/j.dib.2026.112564","DOIUrl":"10.1016/j.dib.2026.112564","url":null,"abstract":"<div><div>From a One Health perspective, the gut microbiota of animals acts as a major driver of microbial exchange between animals and the environment. Animals continuously release gut microbes into their surroundings, shaping environmental and human microbial communities and potentially dispersing pathogens. Characterizing gut microbiota across diverse animal hosts is therefore critical for understanding the patterns of microbial spread through ecosystems and their impact on animal, human and environmental health.</div><div>Here, we introduce a large, taxonomically diverse dataset of fecal microbiomes from 715 individual animals representing over 50 mammalian and avian species. We collected samples from both wild and domestic animals with an emphasis on capturing microbial diversity across a wide range of taxa and ecological contexts. The samples were subjected to 16S rRNA gene sequencing, targeting the V3–V4 hypervariable region. Bioinformatic analysis was performed using Usearch to generate zero-radius operational taxonomic units (ZOTUs).</div><div>This dataset was generated primarily for the development of microbial source tracking (MST) assays used for identifying the sources of fecal pollution in contaminated water. However, it provides a valuable resource for broader microbiome research. It enables comparative studies across host species, trophic guilds, and environmental contexts such as domestication.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112564"},"PeriodicalIF":1.4,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185214","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":"VDzSL: A synthetic video dataset for Algerian sign language using 3D avatars","authors":"Younes Ouargani,&nbsp;Noussaima El Khattabi","doi":"10.1016/j.dib.2026.112551","DOIUrl":"10.1016/j.dib.2026.112551","url":null,"abstract":"<div><div>Video datasets are crucial for advancing communication technologies for deaf and hard-of-hearing individuals. Despite that, extensive datasets are not available for the majority of sign languages due to the ample work required to capture, clean, organize, and publish them. This paper introduces the Video Dataset for Algerian Sign Language (VDzSL), the largest video dataset for Algerian Sign Language. To ensure demographic diversity, VDzSL utilizes four different avatars to animate the signs and records them from five distinct camera angles, employing polar coordinates to ensure consistency while capturing varying horizontal and vertical perspectives. With 415 signs, our dataset has a 99.5% coverage of the signs included in 3DZSignDB’s SiGML dataset, and 26.6% coverage of the official ALGSL dictionary provided by the Algerian Ministry of Solidarity. Our dataset contains 8300 video files totaling 3 h, 11 min, and 43 s of synthetic videos provided at a 498×498 pixel resolution and an average frame rate of 27 frames per second across the entire dataset. The dataset is primarily aimed at training, testing, and benchmarking machine learning models, facilitating transfer learning and comparative analyses, as well as developing learning tools and accessibility applications.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112551"},"PeriodicalIF":1.4,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185079","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":"Experimental data collected during quasi-static cyclic loading of mass timber lateral force-resisting system tested in a three-story building structure","authors":"Nicholas T. Thielsen ,&nbsp;Arijit Sinha ,&nbsp;Andre R. Barbosa ,&nbsp;Barbara G. Simpson ,&nbsp;Daniel Cheney","doi":"10.1016/j.dib.2026.112558","DOIUrl":"10.1016/j.dib.2026.112558","url":null,"abstract":"<div><div>The Emmerson Lab Launch Initiative (ELLI) was a multi-experiment testing program designed to evaluate the structural performance of mass timber lateral force-resisting systems (LFRS) under cyclic quasi-static loading protocols. The testing program was also designed to showcase, to their fullest potential, the testing capabilities of the A.A. “Red” Emmerson Advanced Wood Products Laboratory at Oregon State University in Corvallis, Oregon, USA (operational since 2020). This paper describes the static and visual data associated with one ELLI experiment comprised of two experiments. The paper also describes the value of the data and its collection process. In both experimental events, the test the gravity system of the test building sub-assemblage consisted of mass ply panel (MPP) diaphragms and out-of-plane walls, laminated veneer lumber (LVL) beams and columns, steel bolted gravity connections, and screwed connections. In the first experimental event, the test building structure did not include a dedicated LFRS separate from its gravity system. In the second experimental event, the test building structure included a self-centering rocking wall as the LFRS that consisted of veneer laminated timber (VLT) panels coupled by U-shaped flexural plate (UFP) energy dissipators with vertical post-tensioned (PT) rods and a horizontal tying system. The data associated with the two experimental events were used to evaluate performance-based seismic design objectives and validate the direct displacement-based method used in the lateral design of the structural system, which are described in <em>Cyclic Testing of Three-Story Mass Timber Building Structure with Self-Centering Rocking Walls Coupled by UFP Dissipators</em>. The dataset includes construction drawings and instrumentation plans of the test building structure as references for data collection and analysis. The dataset also includes displacement, strain, force, photograph, and time-lapse video data that collectively represent the structural behavior of the test building structure and its key components, and they are accessible through Mendeley Data with DOI: 10.17632/v6cs4t4zxc.1. This article complements the associated thesis and research publications by providing a peer-reviewed, standardized, and citable documentation of the experimental dataset, focused exclusively on data generation, structure, processing, limitations, and reuse, without duplicating analytical interpretation or conclusion.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112558"},"PeriodicalIF":1.4,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185075","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":"The complete genome sequencing data of Priestia aryabhattai SPCL1 isolated from a heavy metal leachate-contaminated soil in Queretaro, México","authors":"Mario Eduardo Clemente Albores ,&nbsp;María De Los Ángeles Hernández Tépach ,&nbsp;Paola Itzel Herrera de la Torre ,&nbsp;Mayra Paola Mena Navarro ,&nbsp;María Carlota García Gutiérrez ,&nbsp;Karla Isabel Lira De León ,&nbsp;David Gustavo García Gutiérrez ,&nbsp;Aldo Amaro Reyes ,&nbsp;Miguel Angel Ramos López ,&nbsp;José Alberto Rodríguez Morales ,&nbsp;Erika Álvarez Hidalgo ,&nbsp;Sergio de Jesús Romero Gómez ,&nbsp;Juan Campos Guillén","doi":"10.1016/j.dib.2026.112561","DOIUrl":"10.1016/j.dib.2026.112561","url":null,"abstract":"<div><div>We are providing the genome sequence of <em>Priestia aryabhattai</em> SPCL1, a bacterial strain isolated from a heavy metal leachate-contaminated soil in Querétaro, México. The Illumina NovaSeq platform was used to sequence the whole genome and the sequencing data obtained, including assembly and annotation, were analyzed on the BV-BRC platform. The genome, comprising 41 contigs and approximately 5.6 million base pairs with a GC content of 37.58 mol % and 6131 protein-coding sequences. In addition, 6 contigs of 146,177 bp (36.77 mol % <em>G</em> + <em>C</em>), 126,627 bp (33.27 mol % <em>G</em> + <em>C</em>), 16,881 bp (34.13 mol % <em>G</em> + <em>C</em>), 9835 bp (34.67 mol % <em>G</em> + <em>C</em>), 7402 bp (36.54 mol % <em>G</em> + <em>C</em>) and 4590 bp (35.38 mol % <em>G</em> + <em>C</em>) were assembled as plasmids. This analysis of genomic data represents a valuable resource for increasing knowledge of this bacterial specie and for possible applications in its biological functions. The genome data was deposited at National Center for Biotechnology Information (NCBI) under accession number Bioproject ID PRJNA1377581, Bio Sample ID SAMN53794006 and genome accession number ID JBSVDB000000000.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112561"},"PeriodicalIF":1.4,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185137","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":"Whole genome sequencing data analysis identified a cefotaxime-resistant Empedobacter brevis GBW-1 isolate from ground beef encoding a novel metallo-beta-lactamase variant, blaEBR-6","authors":"Daniel Jones ,&nbsp;Praful Aggarwal ,&nbsp;Jamison Trewyn ,&nbsp;Poojhaa Shanmugam ,&nbsp;Kyle Leistikow ,&nbsp;Troy Skwor","doi":"10.1016/j.dib.2026.112547","DOIUrl":"10.1016/j.dib.2026.112547","url":null,"abstract":"<div><div>While investigating foodstuffs for ESBL-producing <em>Aeromonas</em> species on ampicillin dextrin agar with vancomycin and cefotaxime, a multidrug-resistant <em>Empedobacter brevis</em> strain GBW-1 was identified from ground beef. Phylogenetic analysis supports the interconnectedness of environment, humans and food driving this species' evolutionary development. Antimicrobial susceptibility testing demonstrated resistance to gentamicin, carbapenems and third-generation cephalosporins. Data collection from whole genome sequencing of this strain detected a 3.74 Mb genome with 32.8% GC content containing 3780 coding genes. Among these genes, at least three known antimicrobial resistance (AMR) genes were identified from the dataset with <em>qacG, vanT</em> gene within the <em>vanG</em> cluster, and a novel variant of the metallo-β-lactamase <em>bla</em>_EBR-6. This homologue, EBR-6, was compared against previously known EBR variants and was found to be closest to EBR-3 with an 84.98% amino acid identity match. Data collection from <em>in silico</em> molecular docking experiments predicted these mutations change the binding to meropenem. Furthermore, nearly 100 annotated regions associated with mobile genetic elements, including the presence of <em>tra</em> operons, were identified on the genome. Together, this dataset provides, genomic, phenotypic, and <em>in</em> silico data that may be reused to monitor the evolution of EBR from a One Health perspective.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112547"},"PeriodicalIF":1.4,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185143","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":"A dataset of sugarcane crop yield, production environment, meteorological records, and satellite images of commercial fields in the northeast of São Paulo State, Brazil","authors":"Luiz Antonio Falaguasta Barbosa,&nbsp;Hernani Mazier Junior,&nbsp;Ivan Rizzo Guilherme,&nbsp;Daniel Carlos Guimarães Pedronette","doi":"10.1016/j.dib.2026.112549","DOIUrl":"10.1016/j.dib.2026.112549","url":null,"abstract":"<div><div>Brazil is the world’s largest producer of sugarcane (<em>Saccharum officinarum</em>), accounting for approximately 40% of global production, with the state of São Paulo responsible for more than half of the national output due to its high level of mechanization. Despite its economic importance, publicly available datasets integrating information on sugarcane yield and production environment remain scarce.</div><div>This is the first freely available dataset comprising crop yield, meteorological, and production environment data with a large number of observations derived from multiple plots, harvest cycles, and time steps, and that identifies the exact locations of 12 commercial fields in the northeast of São Paulo State, Brazil. It is combined with images downloaded from the Sentinel-2 satellite, based on plot shapefiles, and with other meteorological data at the exact locations and during the same periods of sugarcane cultivation.</div><div>Crop yield and production environment data were shared by a sugar and alcohol plant operating in the region, collected at farms in the northeast of São Paulo State, Brazil, with measurements taken at the plot level across two plots per farm, across six farms. The data correspond to different numbers of harvests per plot. Between the plant and harvest dates, complementary data were generated by downloading Sentinel-2 RGB bands as single-band images and combining them into a single image. The exact process is applied using a meteorological dataset, selecting the closest meteorological station to obtain data for the same days between the plant and harvest dates.</div><div>Given the unavailability of integrated sugarcane datasets, this resource provides a valuable foundation for studies on crop yield prediction, analysis of production environments, and the development and evaluation of data-driven models in precision agriculture.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112549"},"PeriodicalIF":1.4,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146184990","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":"An annotated dataset of images of Chinese giant salamanders","authors":"Xinyao Yang ,&nbsp;Junyi Chen ,&nbsp;Didi Lu ,&nbsp;Nanqing Sun ,&nbsp;Mokai Xie ,&nbsp;Haotian Qian","doi":"10.1016/j.dib.2026.112552","DOIUrl":"10.1016/j.dib.2026.112552","url":null,"abstract":"<div><div>The Chinese giant salamander is classified as a Class II protected species in China and is recognized as critically endangered by the International Union for Conservation of Nature (IUCN). Due to their unique behavioral patterns, wild Chinese giant salamanders are primarily nocturnal and inhabit areas characterized by complex terrain, which results in limited detection coverage and significant challenges in observation. Consequently, images of wild Chinese giant salamanders are exceedingly rare, and the scarcity of existing data impedes the advancement and application of deep learning-based object detection models. This study constructs and releases a specialized dataset for Chinese giant salamanders, comprising 1386 images and a total of 1397 annotated bounding boxes. All images represent diverse field scenarios and are meticulously annotated in accordance with YOLO (You Only Look Once) labeling specifications. Annotation files are provided in both PASCAL VOC (Visual Object Classes) and COCO (Common Objects in Context) formats to ensure compatibility with leading detection frameworks, including YOLO v8 and YOLO v11. This dataset aims to offer high-quality, multi-scenario annotated data for research in computer vision and conservation biology, facilitating the training and evaluation of models for intelligent monitoring and species conservation of the Chinese giant salamander, thereby promoting the development of visual recognition technologies for endangered species.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112552"},"PeriodicalIF":1.4,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185077","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":"A transcriptome sequence dataset characterizing eggs, nymphs and adults of Oxycarenus hyalinipennis, the cotton seed bug","authors":"Sam D. Heraghty,&nbsp;Aijun Zhang,&nbsp;Daniel Kuhar,&nbsp;Dawn E. Gundersen-Rindal,&nbsp;Michael E. Sparks","doi":"10.1016/j.dib.2026.112532","DOIUrl":"10.1016/j.dib.2026.112532","url":null,"abstract":"<div><div>The cotton seed bug, <em>Oxycarenus hyalinipennis,</em> is an agricultural pest that has recently been detected in the United States and has the potential to cause extensive economic damage to the cotton production industry. Currently, there are no transcriptomic resources for this species. The data reported here will serve to help guide future efforts to create additional reference resources as well as facilitate the development of population control strategies. These data could also be of use towards identifying protein coding genes in a cotton seed bug genome assembly. A total of 13,384 differentially expressed genes was identified, which collectively encoded 40,871 distinct transcripts, of which 18,842 could be annotated with a reference protein in the NCBI NR database, 13,233 with Pfam protein families and 8,089 with GO Gene Ontology terms. These transcripts could, for example, be targeted for future functional genomics work.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112532"},"PeriodicalIF":1.4,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185141","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":"Dataset reporting the differential effect of HNRNPA1 isoforms on alternative splicing","authors":"Jade-Emmanuelle Deshaies ,&nbsp;Valérie Triassi ,&nbsp;Martine Tétreault ,&nbsp;Christine Vande Velde","doi":"10.1016/j.dib.2026.112544","DOIUrl":"10.1016/j.dib.2026.112544","url":null,"abstract":"<div><div>Heterogeneous nuclear ribonucleoprotein A1 (<em>HNRNPA1</em>) encodes two main protein coding variants: hnRNP A1 and hnRNP A1B. The isoforms differ by the exclusion or inclusion of exon 8 (sometimes referred to as exon 7B), which extends the length of the intrinsically disordered region (IDR). HnRNP A1 is implicated in most major steps of nascent RNA transcript processing, with RNA splicing being the most studied function. While hnRNP A1 has been studied extensively, little is known about the relevance of the longer isoform, hnRNP A1B. In fact, with respect to alternative splicing, only two groups have reported a functional analysis of both isoforms, revealing that both isoforms modulate alternative splicing, albeit with different efficiencies. To better understand the contribution of each isoform on alternative splicing, we analyzed the transcriptomes of mouse erythroleukemia cells either lacking <em>HNRNPA1</em> (CB3) or uniquely expressing one isoform [hnRNP A1 (CB3 A1) or hnRNP A1B (CB3 A1B)] via stable constitutive expression of murine cDNAs. Our data indicate that differential isoform expression modulates the splicing of both shared and isoform-specific gene sets. These genes are involved in a wide variety of molecular functions and biological processes. Finally, and intriguingly, analysis of the genes with the largest differences in inclusion levels revealed enrichment for genes implicated in several neurodegenerative and neurodevelopmental diseases, as well as intellectual disability, myopathy and cancer.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112544"},"PeriodicalIF":1.4,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185142","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}