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 is published in the journal Tunnelling and Underground Space Technology: https://doi.org/10.1016/j.tust.2024.105843 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.本数据集来自论文：《挪威15座硬岩隧道随钻测量（Measure While Drilling, MWD）标注数据集的构建与分析》，作者为T.F. Hansen、Z. Liu、J. Torressen。该论文的预印本已发布于SSRN平台：http://dx.doi.org/10.2139/ssrn.4729646，目前正在同行评审期刊中待审。 本数据集还应用于另一篇机器学习分析相关论文：《基于可复现机器学习建模流程的隧道随钻测量数据岩性预测》，作者同样为T.F. Hansen、Z. Liu、J. Torressen。该论文已发表于《隧道与地下空间技术（Tunnelling and Underground Space Technology）》期刊：https://doi.org/10.1016/j.tust.2024.105843 随钻测量（Measure While Drilling, MWD）是一种岩石钻探技术，主要应用于钻爆法隧道施工场景，可在钻探过程中通过传感器采集岩体相关数据。本次发布的数据集规模庞大且地质样本多样，涵盖挪威15座硬岩隧道共5205次爆破循环的配套随钻测量数据与岩体测绘结果。随钻测量数据以表格形式存储，对应的标注标签共包含10种不同岩性。 本次提供共4个数据文件： 1. 去除异常值后的训练集CSV文件； 2. 去除异常值后的测试集CSV文件（训练/测试集划分比例为0.75/0.25）； 3. 经过清洗与异常值去除处理的完整未划分数据集CSV文件； 4. 未经清洗、预处理与异常值去除的原始数据集CSV文件。 作者衷心感谢隧道软硬件企业Bever Control，该机构为研究提供了来自其客户Bane NOR、Statens Vegvesen、Nye Veier以及承包商AF-Gruppen的相关数据。 注意：本数据集仅可用于科研用途，严禁商业使用。