AgrImOnIA: Open Access dataset correlating livestock and air quality in the Lombardy region, Italy

The AgrImOnIA dataset is a comprehensive dataset relating air quality and livestock (expressed as the density of bovines and swine bred) along with weather and other variables. The AgrImOnIA Dataset represents the first step of the AgrImOnIA project. The purpose of this dataset is to give the opportunity to assess the impact of agriculture on air quality in Lombardy through statistical techniques capable of highlighting the relationship between the livestock sector and air pollutants concentrations. The building process of the dataset is detailed in the companion paper: A. Fassò, J. Rodeschini, A. Fusta Moro, Q. Shaboviq, P. Maranzano, M. Cameletti, F. Finazzi, N. Golini, R. Ignaccolo, and P. Otto (2023). Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy. SCIENTIFIC DATA, 1-19. available here. This dataset is a collection of estimated daily values for a range of measurements of different dimensions as: air quality, meteorology, emissions, livestock animals and land use. Data are related to Lombardy and the surrounding area for 2016-2021, inclusive. The surrounding area is obtained by applying a 0.3° buffer on Lombardy borders. The data uses several aggregation and interpolation methods to estimate the measurement for all days. The files in the record, renamed according to their version (es. .._v_3_0_0), are: Agrimonia_Dataset.csv(.mat and .Rdata) which is built by joining the daily time series related to the AQ, WE, EM, LI and LA variables. In order to simplify access to variables in the Agrimonia dataset, the variable name starts with the dimension of the variable, i.e., the name of the variables related to the AQ dimension start with 'AQ_'. This file is archived also in the format for MATLAB and R software. Metadata_Agrimonia.csv which provides further information about the Agrimonia variables: e.g. sources used, original names of the variables imported, transformations applied. Metadata_AQ_imputation_uncertainty.csv which contains the daily uncertainty estimate of the imputed observation for the AQ to mitigate missing data in the hourly time series. Metadata_LA_CORINE_labels.csv which contains the label and the description associated with the CLC class. Metadata_monitoring_network_registry.csv which contains all details about the AQ monitoring station used to build the dataset. Information about air quality monitoring stations include: station type, municipality code, environment type, altitude, pollutants sampled and other. Each row represents a single sensor. Metadata_LA_SIARL_labels.csv which contains the label and the description associated with the SIARL class. AGC_Dataset.csv(.mat and .Rdata) that includes daily data of almost all variables available in the Agrimonia Dataset (excluding AQ variables) on an equidistant grid covering the Lombardy region and its surrounding area. The Agrimonia dataset can be reproduced using the code available at the GitHub page: https://github.com/AgrImOnIA-project/AgrImOnIA_Data UPDATE 31/05/2023 - NEW RELEASE - V 3.0.0 A new version of the dataset is released: Agrimonia_Dataset_v_3_0_0.csv (.Rdata and .mat), where variable WE_rh_min, WE_rh_mean and WE_rh_max have been recomputed due to some bugs. In addition, two new columns are added, they are LI_pigs_v2 and LI_bovine_v2 and represents the density of the pigs and bovine (expressed as animals per kilometer squared) of a square of size ~ 10 x 10 km centered at the station localisation. A new dataset is released: the Agrimonia Grid Covariates (AGC) that includes daily information for the period from 2016 to 2020 of almost all variables within the Agrimonia Dataset on a equidistant grid containing the Lombardy region and its surrounding area. The AGC does not include AQ variables as they come from the monitoring stations that are irregularly spread over the area considered. UPDATE 11/03/2023 - NEW RELEASE - V 2.0.2 A new version of the dataset is released: Agrimonia_Dataset_v_2_0_2.csv (.Rdata), where variable WE_tot_precipitation have been recomputed due to some bugs. A new version of the metadata is available: Metadata_Agrimonia_v_2_0_2.csv where the spatial resolution of the variable WE_precipitation_t is corrected. UPDATE 24/01/2023 - NEW RELEASE - V 2.0.1 minor bug fixed UPDATE 16/01/2023 - NEW RELEASE - V 2.0.0 A new version of the dataset is released, Agrimonia_Dataset_v_2_0_0.csv (.Rdata) and Metadata_monitoring_network_registry_v_2_0_0.csv. Some minor points have been addressed: Added values for LA_land_use variable for Switzerland stations (in Agrimonia Dataset_v_2_0_0.csv) Deleted incorrect values for LA_soil_use variable for stations outside Lombardy region during 2018 (in Agrimonia Dataset_v_2_0_0.csv) Fixed duplicate sensors corresponding to the same pollutant within the same station (in Metadata_monitoring_network_registry_v_2_0_0.csv)AgrImOnIA数据集是一套涵盖空气质量与畜牧（以牛、猪养殖密度表征）、气象及其他变量的综合性数据集，同时也是AgrImOnIA项目的首个研究成果。本数据集旨在通过能够揭示畜牧产业与空气污染物浓度之间关联的统计技术，评估意大利伦巴第大区农业对空气质量的影响。 数据集的构建过程详见配套论文： A. Fassò, J. Rodeschini, A. Fusta Moro, Q. Shaboviq, P. Maranzano, M. Cameletti, F. Finazzi, N. Golini, R. Ignaccolo, 及 P. Otto (2023). Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy. SCIENTIFIC DATA, 1-19. 可在此处获取。 本数据集收录了多维度观测指标的估算日值，涵盖空气质量、气象、排放、畜牧动物与土地利用等类别。数据覆盖2016至2021年（含首尾年）的伦巴第大区及周边区域，周边区域通过对伦巴第边界施加0.3°缓冲范围得到。 数据采用多种聚合与插值方法，以估算每日的观测值。 数据集中的文件已按版本重命名（例如：.._v_3_0_0），具体如下： 1. Agrimonia_Dataset.csv（同时提供MATLAB格式的.mat与R软件格式的.Rdata版本）：通过拼接AQ（空气质量，Air Quality）、WE（气象，Weather）、EM（排放，Emissions）、LI（畜牧，Livestock）与LA（土地利用，Land Use）维度的每日时间序列构建而成。为简化Agrimonia数据集的变量访问，变量名以其所属维度的缩写开头，例如属于空气质量维度的变量均以"AQ_"开头。该文件同时归档为MATLAB与R软件可用格式。 2. Metadata_Agrimonia.csv：提供Agrimonia数据集变量的详细补充信息，例如所用数据源、导入的原始变量名、所执行的变换操作。 3. Metadata_AQ_imputation_uncertainty.csv：包含针对空气质量（AQ）维度插补观测值的每日不确定性估算结果，用于缓解小时时间序列中的数据缺失问题。 4. Metadata_LA_CORINE_labels.csv：包含与CLC类别的标签及对应描述。 5. Metadata_monitoring_network_registry.csv：包含构建数据集所用的所有空气质量监测站的详细信息，涵盖站点类型、市镇代码、环境类型、海拔、采样污染物及其他相关信息。每一行代表单个传感器。 6. Metadata_LA_SIARL_labels.csv：包含与SIARL类别的标签及对应描述。 7. AGC_Dataset.csv（.mat与.Rdata格式）：包含覆盖伦巴第大区及周边区域的等距网格上的几乎所有Agrimonia数据集变量（空气质量变量除外）的日数据。 Agrimonia数据集可通过GitHub页面提供的代码复现：https://github.com/AgrImOnIA-project/AgrImOnIA_Data ### 更新 2023年5月31日 - 新版本发布 - V 3.0.0 本数据集发布新版本：Agrimonia_Dataset_v_3_0_0.csv（附带.Rdata与.mat格式文件），其中因部分程序漏洞重新计算了WE_rh_min、WE_rh_mean与WE_rh_max变量。此外新增两列变量：LI_pigs_v2与LI_bovine_v2，分别代表以监测站点位为中心、边长约10×10km的正方形区域内的猪、牛养殖密度（单位：只/平方千米）。同时发布全新数据集：Agrimonia网格协变量（AGC，Agrimonia Grid Covariates），该数据集包含2016至2020年期间，覆盖伦巴第大区及周边区域的等距网格上的几乎所有Agrimonia数据集变量的日度信息。由于空气质量（AQ）变量来自分布不规则的监测站点，因此AGC数据集不包含AQ变量。 ### 更新 2023年3月11日 - 新版本发布 - V 2.0.2 本数据集发布新版本：Agrimonia_Dataset_v_2_0_2.csv（附带.Rdata格式文件），其中因部分程序漏洞重新计算了WE_tot_precipitation变量。同时发布新版元数据：Metadata_Agrimonia_v_2_0_2.csv，修正了WE_precipitation_t变量的空间分辨率信息。 ### 更新 2023年1月24日 - 新版本发布 - V 2.0.1 修复了少量程序漏洞。 ### 更新 2023年1月16日 - 新版本发布 - V 2.0.0 本数据集发布新版本：Agrimonia_Dataset_v_2_0_0.csv（附带.Rdata格式文件）与Metadata_monitoring_network_registry_v_2_0_0.csv，修复了若干细节问题： - 为瑞士站点的LA_land_use变量补充了数值（见于Agrimonia Dataset_v_2_0_0.csv） - 删除了2018年期间伦巴第大区外站点的LA_soil_use变量的错误数值（见于Agrimonia Dataset_v_2_0_0.csv） - 修复了元数据文件Metadata_monitoring_network_registry_v_2_0_0.csv中同一站点内对应同一污染物的重复传感器条目。