SquamBase 1.0 – a dataset of squamate species traits

Motivation: I present a database that contains information on multiple key traits for all 11,744 recognized species of squamates worldwide. The database encompasses key traits and hopefully a reasonably comprehensive picture of available public knowledge. I present a comprehensive description of the sources and rationale leading to the assignment of each particular trait state for each species. Hopefully, the dataset can serve the scientific community and promote research and understanding of the group, comparisons with other taxa, and assessment of conservation needs. Furthermore, gaps in our knowledge of squamate traits become readily apparent and will hopefully lead to further study and even better knowledge.
Main types of variables contained: morphological, ecological, life history, geographic and conservation-related traits
Spatial location: Global
Time period: Late Holocene to recent
Major taxa and level of measurement: Squamata, species
Software format: .xlsx, Data were manually collected over 18 years., , # SquamBase 1.0 – a dataset of squamate species traits

The dataset contains data on multiple traits for all squamate species recognized as of January 2024

## Description of the data and file structure

Each data field is accompanied by a metadata field, and a general sources field appears for each species. 'NA' cells across all files refer to data that are not available.

## Sharing/Access information

Data were derived from ~10,285 sources (mostly literature sources).

研究背景：本文构建了一套全球范围内已被确认的11744种有鳞目（Squamata）物种的多关键性状数据库。该数据库涵盖核心性状数据，力求尽可能全面地整合现有公开研究成果。本文还详细阐述了为各物种分配各性状状态的依据与文献来源。本数据集旨在服务全球科研社群，推动该类群的研究与认知深化，助力与其他类群的比较分析，以及物种保护需求评估。此外，当前有鳞目性状认知的空白将清晰呈现，有望推动后续研究并进一步完善相关知识体系。
数据集包含的主要变量类型：形态学、生态学、生活史、地理学及保护相关性状
空间范围：全球
时间跨度：全新世晚期至近现代
核心类群与测量层级：有鳞目（Squamata），物种级
文件格式：.xlsx。所有数据均经18年人工采集完成。本数据集为SquamBase 1.0——有鳞目物种性状数据集
本数据集涵盖截至2024年1月已被确认的所有有鳞目物种的多性状数据

数据与文件结构说明：每个数据字段均配套元数据字段，且每个物种均设有通用来源字段。所有文件中的"NA"值代表对应数据暂未获取。

数据共享与获取说明：本数据集源自约10285份数据源（以文献资料为主）。