Biotic and abiotic predictors of potential N2O emissions from denitrification in Irish grasslands soils: a national-scale field studyItem

<strong>_________________________________________________________________________________________</strong> The datasets are associated with this paper (OA): https://doi.org/10.1016/j.soilbio.2022.108637 If you use this data for your research, please feel free to contact me: [e-mail] <br> <strong>The team that worked on this immense project gives you access to this data. As such, remember to cite the paper and this dataset whenever this data is reused.</strong> <br> <strong>_________________________________________________________________________________________</strong> <br> <strong>The data contains 3 files:</strong> 1) The metadata and soil data: containing the a) description of the samples, b) physicochemical properties of the soil, c) climate conditions extracted from BioClim and d) Soil potential nitrification and denitrification, e) functional gene abundance. 2) An RDS file containing the 16S community matrix and information relating to the community. 3) An RDS file containing the ITS community matrix and information relating to the community. <br> Raw DNA sequencing data are available on the NCBI database under the accession number BioProject PRJNA788893. <br> <br> <strong>The metadata and soil data: “MINEsoilData.csv”</strong> A .csv table containing a) description of the samples, b) physicochemical properties of the soil, c) climate conditions extracted from BioClim and d) Soil potential nitrification and denitrification, e) functional gene abundance. All information relative to the farmer practices and exact location were removed to respect their privacy. The methods to obtain the values of this dataset are in the associated paper. Description of each column: SampleID: sample identification number, which is the sample number used in all the datasets. Site: location where the samples were collected in Ireland. Date: date of sampling soilMoist: soil moisture measured on site with Delta T WET-2 sensor, measures correspond to volumetric soil moisture content (θ, in %). soilCond: soil conductivity measured on site with Delta T WET-2 sensor (mS/m). soilTemp: soil temperature (°C) Altitude: meters above the sea at sampling location. pH: soil pH P_morgans: phosphorus (mg/L soil) K_Morgans: potassium (mg/L soil) Mg_Morgans: magnesium (mg/L soil) Al_Mehlich: aluminium (mg/L soil) Ca_Mehlich: calcium (mg/L soil) Fe_Mehlich: iron (mg/L soil) S: sulfur (mg/L soil) CEC: Cation-exchange capacity (meq/100g) LOI: Loss on ignition (%) NH4_mgL: ammonium (mg/L) NO3_mgL: nitrate (mg/L) sandPerc: soil texture, percentage of sand siltPerc: soil texture, percentage of silt clayPerc: soil texture, percentage of clay TNperc: total nitrogen (percentage) TICperc: total inorganic carbon (percentage) TOCperc: total organic carbon (percentage) TCperc: total carbon (percentage) CuEDTA: copper (mg/L soil) ZnEDTA: zinc (mg/L soil) MnEDTA: manganese (mg/L soil) bulkDens: soil bulk density (g/cm3) Nitrification: soil potential nitrification (mg N / soil kg . day) Denitrification: soil potential denitrification (mg N2O-N / soil kg . day) Ratio_N2O: potential N2O/(N2O + N2) ratio X16s.Bact: Abundance of bacteria based on qPCR (gene copy number / ng DNA) ITS: abundance of fungi (ITS) based on qPCR (gene copy number / ng DNA) X16S.Archae: abundance of archaea (16S) based on qPCR (gene copy number / ng DNA) AOA: abundance of ammonia-oxidizing archaea abundance based on qPCR (gene copy number / ng DNA) AOB: abundance of ammonia-oxidizing bacteria based on qPCR (gene copy number / ng DNA) COMAMMOX: complete ammonia-oxidizing bacterial abundance based on qPCR (gene copy number / ng DNA) NirK: nirK genes’ abundance based on qPCR (gene copy number / ng DNA) NosZI: nosZI genes’ abundance based on qPCR (gene copy number / ng DNA) NosZII: nosZII genes’ abundance based on qPCR (gene copy number / ng DNA) NirS: nirS genes’ abundance based on qPCR (gene copy number / ng DNA) AvgTemp: mean annual temperature (°C) based on BIOClim Prec: mean annual precipitation (mm) based on BIOClim <br> <strong>16S community data: “16Scommunitydata.rds”</strong> This data is compiled in a RDS file containing an ASV table (matrix with sample ID and ASV abundance), the taxonomy table (identity for each ASV) and the object containing the sequences of each ASV. This dataset can be accessed on R. Load the ‘phyloseq’ library and use the function “readRDS()”. <br> <strong>ITS community data: “ITScommunitydata.rds”</strong> This data is compiled in a RDS file containing an ASV table (matrix with sample ID and ASV abundance), the taxonomy table (identity for each ASV) and the object containing the sequences of each ASV. This dataset can be accessed on R. Load the ‘phyloseq’ library and use the function “readRDS()”.