A comprehensive morphological database of hognose Porthidium pitvipers (Viperidae: Crotalinae).

IF 2.7 4区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI:10.1093/database/baaf085

Carlos Patron-Rivero, Carlos Yañez-Arenas, Sara Ruane, Xavier Chiappa-Carrara, Octavio R Rojas-Soto

{"title":"A comprehensive morphological database of hognose Porthidium pitvipers (Viperidae: Crotalinae).","authors":"Carlos Patron-Rivero, Carlos Yañez-Arenas, Sara Ruane, Xavier Chiappa-Carrara, Octavio R Rojas-Soto","doi":"10.1093/database/baaf085","DOIUrl":null,"url":null,"abstract":"<p><p>Generating and sharing primary biological data is essential to support reproducible research, stimulate new hypotheses, and advance our understanding of biodiversity. Here, we present a comprehensive database of morphological traits for snakes of the genus Porthidium (Viperidae: Crotalinae). This database includes linear measurements, pholidosis (scale counts), and head shape data from preserved specimens across five different herpetological collections. These data comprise 13 morphological traits, 8 scale counts, and 55 landmarks collected from 484 individuals across 9 species. The specimens represent both juvenile and adult stages. All data were collected using standardized protocols to ensure comparability across individuals and species. The dataset is a valuable resource for studies in systematics, morphological evolution, ecological adaptation, and ontogeny, as well as facilitating reproducibility and reuse in the fields of evolutionary biology, herpetology, and comparative morphology.</p>","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12813580/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Database: The Journal of Biological Databases and Curation","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/database/baaf085","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Generating and sharing primary biological data is essential to support reproducible research, stimulate new hypotheses, and advance our understanding of biodiversity. Here, we present a comprehensive database of morphological traits for snakes of the genus Porthidium (Viperidae: Crotalinae). This database includes linear measurements, pholidosis (scale counts), and head shape data from preserved specimens across five different herpetological collections. These data comprise 13 morphological traits, 8 scale counts, and 55 landmarks collected from 484 individuals across 9 species. The specimens represent both juvenile and adult stages. All data were collected using standardized protocols to ensure comparability across individuals and species. The dataset is a valuable resource for studies in systematics, morphological evolution, ecological adaptation, and ontogeny, as well as facilitating reproducibility and reuse in the fields of evolutionary biology, herpetology, and comparative morphology.

Abstract Image

查看原文本刊更多论文

猪鼻虎（响尾蛇科：响尾蛇科）形态综合数据库。

生成和共享原始生物学数据对于支持可重复性研究、激发新的假设和促进我们对生物多样性的理解至关重要。在这里，我们提出了一个综合数据库的形态特征的Porthidium属蛇（蛇科：Crotalinae）。该数据库包括线性测量、形态学（鳞片计数）和头形数据，这些数据来自五个不同的爬行动物收藏的保存标本。这些数据包括从9个物种的484个个体中收集的13个形态特征、8个尺度计数和55个地标。这些标本代表了幼年期和成年期。所有数据均采用标准化方案收集，以确保个体和物种之间的可比性。该数据集是系统学、形态进化、生态适应和个体发生研究的宝贵资源，同时也促进了进化生物学、爬行学和比较形态学领域的可重复性和重用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

9.00

自引率

3.40%

发文量

100

审稿时长

>12 weeks

期刊介绍： Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.