Northern Nevada wildlife and topography: Camera trapping data set for 14 mammal species collected from 100 sampling sites in northwestern Nevada

Camera traps are one of the most common field techniques for surverying terrestrial mammal communities and thus, much work has gone into understanding how different factors influence species detection at camera trap locations. However, the effect of fine-scale topography, such as terrain slope and position, on wildlife detection has not been explicitly quantified despite strong effects of topography on animal movement in mountainous regions. This data set contains weekly detection non-detection data for 14 mammal species from 100 camera traps sites monitored for 28 months (June 2018 - September 2020) in northwestern Nevada, U.S.A. This sampling extent was split into 3 month sampling seasons, exclusive of winter (Dec, Jan, Feb)Â and spring 2020, when data were sparse. In addition to species detection data, that dataset includes topographic variables at cameras sites: 1) terrain slope, calculated in R package raster from a 10m digital elevation model and 2) Topographic position index aver...红外相机陷阱（camera trap）是当前调查陆地哺乳动物群落最常用的野外技术手段之一，学界已开展大量研究以探明各类因素对相机陷阱布设点位物种检测效果的影响。然而，尽管地形对山地动物的活动具有显著调控作用，但诸如坡度、地形位置这类精细尺度地形因素对野生动物检测率的影响，尚未得到明确量化。本数据集采集自美国内华达州西北部的100个相机陷阱点位，涵盖14种哺乳动物在2018年6月至2020年9月（共计28个月）期间的每周检测与未检测记录。本次采样范围被划分为每3个月为一个的采样季，剔除了数据稀疏的冬季（12月、1月、2月）与2020年春季时段。除物种检测数据外，本数据集还包含相机陷阱点位的地形变量：1）坡度，通过R语言raster包基于10米分辨率数字高程模型（digital elevation model）计算得到；2）地形位置指数（Topographic Position Index），原文此处截断为aver...