意大利中部野火后黑松林中距离倒伏树木和原木不同距离的浅层次表层土壤水分和土壤温度数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-10-28 DOI:10.1016/j.dib.2024.111080

Flavio Taccaliti , Alessandro Vitali , Carlo Urbinati , Raffaella Marzano , Emanuele Lingua

{"title":"意大利中部野火后黑松林中距离倒伏树木和原木不同距离的浅层次表层土壤水分和土壤温度数据集","authors":"Flavio Taccaliti , Alessandro Vitali , Carlo Urbinati , Raffaella Marzano , Emanuele Lingua","doi":"10.1016/j.dib.2024.111080","DOIUrl":null,"url":null,"abstract":"<div><div>In a conifer forest in Central Italy burnt by wildfire in 2017, shallow sub-surface (topmost 5 cm) soil temperature and soil moisture (% volumetric water content) were measured during summer 2022. Various distances from downed trees (natural barriers) and log erosion barriers (artificial barriers) were sampled. Additional data on the hour of sampling, barriers characteristics, and barriers location were collected.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"Article 111080"},"PeriodicalIF":1.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dataset of shallow sub-surface soil moisture and soil temperature at various distances from downed trees and logs in a Pinus nigra forest after wildfire in Central Italy\",\"authors\":\"Flavio Taccaliti , Alessandro Vitali , Carlo Urbinati , Raffaella Marzano , Emanuele Lingua\",\"doi\":\"10.1016/j.dib.2024.111080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In a conifer forest in Central Italy burnt by wildfire in 2017, shallow sub-surface (topmost 5 cm) soil temperature and soil moisture (% volumetric water content) were measured during summer 2022. Various distances from downed trees (natural barriers) and log erosion barriers (artificial barriers) were sampled. Additional data on the hour of sampling, barriers characteristics, and barriers location were collected.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"57 \",\"pages\":\"Article 111080\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-10-28\",\"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/S2352340924010424\",\"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/S2352340924010424","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

2022 年夏季，在意大利中部一片于 2017 年被野火烧毁的针叶林中，测量了浅表层下（最上面 5 厘米）土壤温度和土壤湿度（体积含水量百分比）。在距离倒伏树木（天然屏障）和原木侵蚀屏障（人工屏障）的不同距离进行了采样。还收集了关于取样时间、屏障特征和屏障位置的其他数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Dataset of shallow sub-surface soil moisture and soil temperature at various distances from downed trees and logs in a Pinus nigra forest after wildfire in Central Italy

In a conifer forest in Central Italy burnt by wildfire in 2017, shallow sub-surface (topmost 5 cm) soil temperature and soil moisture (% volumetric water content) were measured during summer 2022. Various distances from downed trees (natural barriers) and log erosion barriers (artificial barriers) were sampled. Additional data on the hour of sampling, barriers characteristics, and barriers location were collected.

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 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.