南非高度入侵和侵略性外来植物——蛇草(Equisetum hyemale)的首个光谱反射数据集:面向早期发现和有效根除

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Lesibana Sedibana , Mahlatse Kganyago , Thulisile Jaca , Kowiyou Yessoufou
{"title":"南非高度入侵和侵略性外来植物——蛇草(Equisetum hyemale)的首个光谱反射数据集:面向早期发现和有效根除","authors":"Lesibana Sedibana ,&nbsp;Mahlatse Kganyago ,&nbsp;Thulisile Jaca ,&nbsp;Kowiyou Yessoufou","doi":"10.1016/j.dib.2025.111582","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents the first spectral reflectance dataset of snakegrass (Equisetum hyemale L.) invasive alien species recorded in South Africa. A total of 338 plant specimens were collected in Howick, KwaZulu-Natal province, and carefully stored in a cooler box for less than 24 hours of collection to retain the structural and biochemical state of the specimens and their overall characteristics. Then, spectral reflectance measurements were collected under laboratory conditions using the PSR-300 Spectral Evolution full-range spectrometer, equipped with a bifurbucated cable, a leaf clip and an artificial lighting system. Next, spectral preprocessing was performed in R statistical software to remove noisy spectra and regions and perform averaging per sample. The dataset is critical for early detection of the species and spatial distribution mapping using remotely piloted systems and earth observation satellites, providing essential information for aiding containment and eradication efforts.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111582"},"PeriodicalIF":1.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"First spectral reflectance dataset of a highly invasive and aggressive alien plant species, Equisetum hyemale (snakegrass), in South Africa: Towards early detection and effective eradication\",\"authors\":\"Lesibana Sedibana ,&nbsp;Mahlatse Kganyago ,&nbsp;Thulisile Jaca ,&nbsp;Kowiyou Yessoufou\",\"doi\":\"10.1016/j.dib.2025.111582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper presents the first spectral reflectance dataset of snakegrass (Equisetum hyemale L.) invasive alien species recorded in South Africa. A total of 338 plant specimens were collected in Howick, KwaZulu-Natal province, and carefully stored in a cooler box for less than 24 hours of collection to retain the structural and biochemical state of the specimens and their overall characteristics. Then, spectral reflectance measurements were collected under laboratory conditions using the PSR-300 Spectral Evolution full-range spectrometer, equipped with a bifurbucated cable, a leaf clip and an artificial lighting system. Next, spectral preprocessing was performed in R statistical software to remove noisy spectra and regions and perform averaging per sample. The dataset is critical for early detection of the species and spatial distribution mapping using remotely piloted systems and earth observation satellites, providing essential information for aiding containment and eradication efforts.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"60 \",\"pages\":\"Article 111582\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340925003142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925003142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

本文首次建立了南非外来入侵种蛇草(Equisetum hyemale L.)的光谱反射数据集。在夸祖鲁-纳塔尔省豪威克采集了338份植物标本,并将其小心地保存在冷却箱中,收集时间少于24小时,以保留标本的结构和生化状态及其整体特征。然后,在实验室条件下,使用PSR-300光谱进化全量程光谱仪,配备分岔电缆,叶片夹和人工照明系统,收集光谱反射率测量数据。然后,在R统计软件中进行光谱预处理,去除有噪声的光谱和区域,并对每个样本进行平均。该数据集对于利用遥控系统和地球观测卫星早期发现物种和绘制空间分布地图至关重要,为协助遏制和根除工作提供了重要信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First spectral reflectance dataset of a highly invasive and aggressive alien plant species, Equisetum hyemale (snakegrass), in South Africa: Towards early detection and effective eradication
This paper presents the first spectral reflectance dataset of snakegrass (Equisetum hyemale L.) invasive alien species recorded in South Africa. A total of 338 plant specimens were collected in Howick, KwaZulu-Natal province, and carefully stored in a cooler box for less than 24 hours of collection to retain the structural and biochemical state of the specimens and their overall characteristics. Then, spectral reflectance measurements were collected under laboratory conditions using the PSR-300 Spectral Evolution full-range spectrometer, equipped with a bifurbucated cable, a leaf clip and an artificial lighting system. Next, spectral preprocessing was performed in R statistical software to remove noisy spectra and regions and perform averaging per sample. The dataset is critical for early detection of the species and spatial distribution mapping using remotely piloted systems and earth observation satellites, providing essential information for aiding containment and eradication efforts.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信