Spatiotemporal prediction of soil organic carbon density (SOCD) for pan-Europe (2000-2022) in 3D+T

Sub-dataset: WPCT mean, 2020–2022 Disclaimer This is the first release of pan-EU predictions of soil health indicators (the Soil Health Data Cube). Use for testing purposes only. A publication describing methods used has been submitted to PeerJ and is in review. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commision. Neither the European Union nor the granting authority can be held responsible for them. The data is provided "as is". AI4SoilHealth project consortium and its suppliers and licensors hereby disclaim all warranties of any kind, express or implied, including, without limitation, the warranties of merchantability, fitness for a particular purpose and non-infringement. Neither AI4SoilHealth project Consortium nor its suppliers and licensors, makes any warranty that the Website will be error free or that access thereto will be continuous or uninterrupted. You understand that you download from, or otherwise obtain content or services through, the Website at your own discretion and risk. Description This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. The dataset spans four depth ranges and multiple time periods, providing information for studies on soil organic carbon stock and dynamics. This dataset is part of the Spatiotemporal prediction of soil organic carbon density for Europe (2000-2022) in 3D+T dataset. Check the related identifiers section below to access other parts of the dataset. This data set includes: Soil Organic Carbon Density (SOCD) (2000-2022, 4-year intervals): This data includes mean, p975, and p025 SOCD maps for four depth ranges (0-20cm, 20-50cm, 50-100cm, and 100-200cm) in kg/m3 (scaled 10x). Organic carbon content based on dry combustion weight percentage (WPCT) (2000-2022, 4-year intervals): This data includes mean, p975, and p025 WPCT maps for four depth ranges (0-20cm, 20-50cm, 50-100cm, and 100-200cm) in percentage. Related identifiers SOCD mean: 2000-2004 2004-2008 2008-2012 2012-2016 2016-2020 2020-2022 SOCD p025: 2000-2004 2004-2008 2008-2012 2012-2016 2016-2020 2020-2022 SOCD p975: 2000-2004 2004-2008 2008-2012 2012-2016 2016-2020 2020-2022 WPCT mean: 2000-2004 2004-2008 2008-2012 2012-2016 2016-2020 2020-2022 WPCT p025: 2000-2004 2004-2008 2008-2012 2012-2016 2016-2020 2020-2022 WPCT p975: 2000-2004 2004-2008 2008-2012 2012-2016 2016-2020 2020-2022 Data Details Time period: 2000–2022, in 4-year intervals (last period covers 2020–2022). Type of data: Spatiotemporal soil organic carbon data cube, with depth ranges and weighted percentage data for soil carbon assessments. How the data was collected or derived: The data was derived using machine learning models. Statistical methods used: Quantile Random Forest Limitations or exclusions in the data: The dataset does not include data for Svalbard. Coordinate reference system: EPSG:3035 Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000) Spatial resolution: 30m Image size: 216,700P x 153,400L File format: Cloud Optimized Geotiff (COG) format. Support If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc) Name convention To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are: generic variable name: oc = organic carbon variable procedure combination: iso.10694.1995.mg.cm3 = ISO method 10694:1995, with values in mg/cm3 for SOCD | iso.10694.1995.wpct = ISO method 10694:1995, with values in weighted percentage of organic carbon content. Position in the probability distribution/variable type: m = mean | p975 = percentile 97.5 | p025 = percentile 2.5 Spatial support: 30m Depth reference: b0cm..20cm = depth range from 0 to 20cm Time reference begin time: 20000101 = 2000-01-01 Time reference end time: 20041231 = 2004-12-31 Bounding box: eu = pan-Europe EPSG code: epsg.3035 Version code: v20240804 = version from 2024-08-04子数据集：干式燃烧重量百分比均值（Weight Percentage based on Dry Combustion，WPCT），2020–2022年 免责声明 本数据集为泛欧土壤健康指标预测数据集（土壤健康数据立方体（Soil Health Data Cube））的首次发布版本，仅可用于测试用途。相关方法的研究论文已提交至PeerJ期刊并处于审稿阶段。本项目由欧盟资助。但文中表达的观点仅代表作者本人，未必反映欧盟或欧盟委员会的立场。欧盟及资助机构不对本文内容承担任何责任。本数据按“现状”提供。AI4SoilHealth项目联盟及其供应商与许可方特此声明放弃所有明示或暗示的担保，包括但不限于适销性、特定用途适用性以及不侵权的担保。AI4SoilHealth项目联盟及其供应商与许可方亦不保证本网站无错误、或访问可连续或不间断。您理解，从本网站下载或以其他方式获取内容或服务系出于您自行判断并承担风险。 数据集描述 本数据集覆盖泛欧洲区域，包括乌克兰、英国与土耳其。该数据立方体可应用于全欧洲范围内的土壤属性制图与综合土壤健康评估等场景。数据集涵盖四类深度区间与多个时间周期，可为土壤有机碳储量及其动态变化的相关研究提供数据支撑。 本数据集属于「欧洲土壤有机碳密度时空预测（2000–2022）」三维时空数据集的组成部分。请查阅下文的相关标识符部分，以获取数据集的其他组成部分。 本数据集包含以下内容： 土壤有机碳密度（Soil Organic Carbon Density，SOCD）（2000–2022年，每4年为一个时间间隔）： 本数据集包含四类深度区间（0–20cm、20–50cm、50–100cm及100–200cm）的SOCD均值、97.5分位数（p975）与2.5分位数（p025）图，单位为kg/m³（已按10倍缩放）。 基于干式燃烧重量百分比的有机碳含量（Weight Percentage based on Dry Combustion，WPCT）（2000–2022年，每4年为一个时间间隔）： 本数据集包含四类深度区间（0–20cm、20–50cm、50–100cm及100–200cm）的WPCT均值、97.5分位数（p975）与2.5分位数（p025）图，单位为百分比。 相关标识符 SOCD均值：2000–2004、2004–2008、2008–2012、2012–2016、2016–2020、2020–2022 SOCD p025：2000–2004、2004–2008、2008–2012、2012–2016、2016–2020、2020–2022 SOCD p975：2000–2004、2004–2008、2008–2012、2012–2016、2016–2020、2020–2022 WPCT均值：2000–2004、2004–2008、2008–2012、2012–2016、2016–2020、2020–2022 WPCT p025：2000–2004、2004–2008、2008–2012、2012–2016、2016–2020、2020–2022 WPCT p975：2000–2004、2004–2008、2008–2012、2012–2016、2016–2020、2020–2022 数据详情 时间范围：2000–2022年，以4年为一个时间间隔（最后一个时间周期覆盖2020–2022年）。 数据类型：时空型土壤有机碳数据立方体，包含用于土壤碳评估的深度区间与重量百分比数据。 数据采集或衍生方式：本数据通过机器学习模型衍生得到。 所用统计方法：分位数随机森林（Quantile Random Forest）。 数据局限性或排除范围：本数据集未包含斯瓦尔巴群岛的相关数据。 坐标参考系：EPSG:3035。 Bounding box（最小X、最小Y、最大X、最大Y）：(900000, 899000, 7401000, 5501000)。 空间分辨率：30米。 图像尺寸：216700（横向）×153400（纵向）像素。 文件格式：云优化地理光栅（Cloud Optimized Geotiff，COG）格式。 支持与反馈 若您发现错误、异常或不一致之处，或有相关疑问，请提交GitLab Issues（待确认）工单。 命名规范 为确保项目内外的命名一致性与易用性，本数据集遵循AI4SoilHealth与Open-Earth-Monitor的标准命名约定。该约定包含10个字段，用于描述数据的关键属性，使用户可在无需打开文件的情况下检索文件、开展数据分析等工作。这10个字段分别为： 1. 通用变量名：oc = 有机碳 2. 变量-方法组合：iso.10694.1995.mg.cm3 = 符合ISO 10694:1995标准，SOCD数值单位为mg/cm³；iso.10694.1995.wpct = 符合ISO 10694:1995标准，数值为有机碳含量的重量百分比。 3. 概率分布位置/变量类型：m = 均值；p975 = 97.5分位数；p025 = 2.5分位数 4. 空间支撑：30米 5. 深度参考：b0cm..20cm = 0~20cm深度区间 6. 时间起始标识：20000101 = 2000-01-01 7. 时间结束标识：20041231 = 2004-12-31 8. Bounding box：eu = 泛欧洲区域 9. EPSG代码：epsg.3035 10. 版本代码：v20240804 = 2024年8月4日发布的版本