Vineyard_Dataset

This dataset contains soil physicochemical properties, enzymatic activities, plant nutrient measurements, and arbuscular mycorrhizal fungi (AMF) community data collected from Mediterranean vineyards located in Jumilla (Murcia, Spain). The study compares organic and conventional vineyard management systems under simulated climate change scenarios, including warming and rainfall reduction treatments. Rhizosphere soil samples (0–10 cm depth) were collected during two consecutive years (2023 and 2024) from Vitis vinifera L. cv. Monastrell vineyards. Climate manipulation treatments included warming (W), rainfall reduction (RR), their combination (W+RR), and control conditions. The dataset includes multiple data layers:(1) Soil physicochemical properties (e.g., pH, electrical conductivity, total nitrogen, phosphorus, potassium, and organic carbon),(2) Soil enzymatic activities related to carbon, nitrogen, phosphorus, and sulfur cycles,(3) Plant nutrient content and productivity traits (e.g., leaf nutrient content at veraison, water potential, bunch and berry weight),(4) AMF community composition derived from Illumina MiSeq sequencing of the 18S rRNA gene,(5) Microbial diversity indices (e.g., richness, Shannon, Simpson, Pielou, SESMPD, SESMNTD). The dataset is structured in multiple CSV files linked by a unique Sample_ID, enabling integration across soil, plant, and microbial data. Raw sequencing data are available in the NCBI Sequence Read Archive (SRA) under accession number PRJNAxxxxxx. This dataset supports the study of soil multifunctionality, plant–microbe interactions, and ecosystem resilience under climate change in Mediterranean agroecosystems, and is intended for reuse in ecological, agricultural, and microbiome research.