Measure While Drilling (MWD) dataset with rock type labels for 15 Norwegian hard rock tunnels

The dataset is presented in the paper: Building and analysing a labelled Measure While Drilling dataset from 15 hard rock tunnels in Norway, by T.F. Hansen, Z. Liu, J. Torressen The paper has a preprint on SSRN: http://dx.doi.org/10.2139/ssrn.4729646 and is under review in a peer-reviewed journal. The dataset is utilised in a machine learning analysis in the paper: Predicting rock type from MWD tunnel data using a reproducible ML-modelling process, by T.F. Hansen, Z. Liu, J. Torressen The paper has a preprint on SSRN: https://dx.doi.org/10.2139/ssrn.4729647 and is under review in a peer-reviewed journal. Description of the dataset: Measure While Drilling (MWD) is a technique in rock drilling, mainly used in drill and blast tunnelling, where data about the rock mass is registered by sensors while drilling. The extensive and geologically diversified dataset contains corresponding MWD-data and rock mass mappings for 5205 blasting rounds from 15 hard rock tunnels in Norway. MWD-data are presented as tabular data. 10 different rocktypes are the corresponding labels. Four files are given: A csv-file of the training dataset - with outliers removed A csv-file of the testing dataset (split train/test 0.75/0.25) - with outliers removed A csv-file with the full unsplitted dataset, cleaned and with outliers removed A csv-file with the raw dataset, before cleaning, processing and outlier removal The author gratefully acknowledge the tunnel software/hardware company Bever Control, which have facilitated data from the clients Bane NOR, Statens Vegvesen, Nye Veier, and the contractor AF-Gruppen. NOTE: The dataset is only available for research, no commercial use.本数据集出自论文《构建并分析来自挪威15座硬岩隧道的带标签随钻测量（Measure While Drilling，MWD）数据集》（作者：T.F. Hansen、Z. Liu、J. Torressen），该论文的预印本已发布于SSRN：http://dx.doi.org/10.2139/ssrn.4729646，目前正在同行评审期刊审稿阶段。 本数据集同时被应用于另一篇论文《基于可复现机器学习建模流程的随钻测量隧道数据岩性预测》（作者：T.F. Hansen、Z. Liu、J. Torressen）的机器学习分析工作中，该论文预印本发布于SSRN：https://dx.doi.org/10.2139/ssrn.4729647，同样处于同行评审期刊审稿流程中。 数据集说明：随钻测量是岩石钻探领域的一项核心技术，主要应用于钻爆法隧道施工场景，可在钻探作业过程中通过传感器实时采集并记录岩体相关参数。本数据集覆盖挪威15座硬岩隧道，包含5205个爆破循环对应的随钻测量数据与岩体测绘结果，数据体量庞大且地质特征多样。随钻测量数据以表格格式存储，共包含10种不同岩性作为分类标签。 本次提供共4个数据文件： 1. 已剔除异常值的训练集CSV文件； 2. 已剔除异常值的测试集CSV文件（训练集与测试集划分比例为0.75/0.25）； 3. 已完成清洗、剔除异常值的全量未拆分数据集CSV文件； 4. 未经过清洗、预处理及异常值剔除的原始数据集CSV文件。 作者诚挚感谢隧道软硬件服务商Bever Control，该机构为研究提供了来自客户Bane NOR、挪威公共道路管理局（Statens Vegvesen）、Nye Veier以及承包商AF-Gruppen的数据支持。 注意事项：本数据集仅可用于非商业科研用途，严禁商业使用。