Dataset from Scintrex CG-5 gravity meters acquired at the Zhetygen calibration line in Kazakhstan.

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-23 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111151
Roman Sermiagin, Yeraly Kalen, Nurgan Kemerbayev, Khaini-Kamal Kassymkanova, Nikolay Kosarev, Guzyaliya Mussina, Assel Batalova
{"title":"Dataset from Scintrex CG-5 gravity meters acquired at the Zhetygen calibration line in Kazakhstan.","authors":"Roman Sermiagin, Yeraly Kalen, Nurgan Kemerbayev, Khaini-Kamal Kassymkanova, Nikolay Kosarev, Guzyaliya Mussina, Assel Batalova","doi":"10.1016/j.dib.2024.111151","DOIUrl":null,"url":null,"abstract":"<p><p>The article provides a dataset derived from Scintrex CG-5 gravity meter observation files collected during five years of annual measurements along the Zhetygen calibration line utilizing three meters. Geoken, a Kazakhstani enterprise, routinely conducts these measurements to calibrate its meters necessary for manufacturing operations. Researchers can use this constantly updated dataset to study the behavior of the CG-5 gravity meters' calibration function in time and the measurement range. The measurement range is 100,900 µGal.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111151"},"PeriodicalIF":1.4000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664004/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.dib.2024.111151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The article provides a dataset derived from Scintrex CG-5 gravity meter observation files collected during five years of annual measurements along the Zhetygen calibration line utilizing three meters. Geoken, a Kazakhstani enterprise, routinely conducts these measurements to calibrate its meters necessary for manufacturing operations. Researchers can use this constantly updated dataset to study the behavior of the CG-5 gravity meters' calibration function in time and the measurement range. The measurement range is 100,900 µGal.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
数据集来自哈萨克斯坦Zhetygen校准线获取的Scintrex CG-5重力仪。
本文提供了一个基于Scintrex CG-5重力仪观测文件的数据集,该数据集是在Zhetygen校准线上利用3米进行的5年年度测量中收集的。哈萨克斯坦企业Geoken定期进行这些测量,以校准制造业务所需的仪表。研究人员可以利用这个不断更新的数据集来研究CG-5重力仪的校准函数在时间和测量范围上的行为。测量范围为100,900µGal。
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 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.
期刊最新文献
A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh Deep-sea image dataset for organism detection A Uav-based multisensor framework for legal industrial Cannabis monitoring and open-access dataset development Draft genome data analysis and pathogenicity profiling of Staphylococcus aureus strain IHS3A with antibiotic resistance genes isolated from a hospital in Jordan Corn seed dataset based on hyperspectral and RGB images
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1