Jura dataset

该数据集涵盖了矿区259个地点的测量数据，详细记录了锌、镍和镉的含量。此外，数据集还包含了100个额外地点的锌和镍值，这些数据用于预测镉的含量。同时，数据集中还包含了土地使用和岩石类型的分类观测数据，这为多任务建模提供了可能。规模上，数据集涉及259个地点，任务上，主要基于锌和镍值来预测镉的含量。

This dataset contains measurement data collected from 259 sites in a mining area, with detailed records of the concentrations of zinc, nickel, and cadmium. Moreover, the dataset includes zinc and nickel values from 100 additional sites, which are dedicated to predicting cadmium concentrations. Additionally, the dataset provides categorized observational data on land use and rock types, facilitating multi-task modeling. In terms of scale, this dataset covers 259 sites, while its primary task is to predict cadmium concentrations based on zinc and nickel values.

搜集汇总

背景与挑战

背景概述

Jura数据集是一个地理空间数据集，源自瑞士汝拉地区的土壤污染研究，包含预测和验证子集，用于地统计分析。数据集提供地理坐标、土地利用类型、岩石类型以及多种重金属元素在表土中的浓度测量，适用于自然资源评估和环境污染建模。