Papaya pollination and yield dataset from Taita Hills, Kenya

This repository contains comprehensive ecological, agronomic, and biological datasets collected across multiple papaya (Carica papaya) agricultural plots during the 2024 and 2025 growing seasons in the Taita Hills, Kenya, to evaluate crop performance and plant-pollinator interactions. The data are organised into five complementary files. The first file, Papaya plots _ 2024 _ 2025.xlsx, provides spatial metadata, including latitude, longitude, elevation, and sampling years for all study plots. The second file, Farm management _ data papaya _23 July 2026.xlsx, details plot-level agronomic practices, capturing differences between organic and conventional management systems, fertiliser and manure application frequencies, pest occurrences, pest stages, common pest types, and chemical usage. The third file, Papaya all visitors_Day_Night_23 July 2026_time series_Final.xlsx, records a high-resolution time series of diurnal and nocturnal floral visitors, such as hawkmoths, bees, beetles, and birds, observed on the trees, alongside surrounding landscape metrics such as percentage of cropland, semi-natural habitat (SNH) cover, and diversity indices measured within a 500-meter radius. The fourth file, Papaya fruit set and weight _ 23 July 2026.xlsx, documents crop productivity metrics, including individual fruit length, width, total fruit weight, seed weight, and total fruit set categorised by treatment and farm management type. Finally, the fifth file, Papaya female distance to pollen source _ 23 July 2026.xlsx, tracks visitor abundance in relation to the spatial distance between female trees and male pollen sources during both day and night periods. Together, these datasets offer a resource for investigating how landscape context, farm management, and pollinator dynamics influence tropical crop yield and reproductive success.