2026-10-12T14:31:54Z https://data.mendeley.com/oai

oai:data.mendeley.com/353mxrnnjz.1 2026-09-24T23:24:49Z

Zhang, Shuai Taizhou Urban Solid-Waste Optical Benchmark, Field-Verified Inventory and Analysis-Ready Data Mendeley Data This dataset supports a field-informed framework for urban solid-waste-site identification, spatial interpretation, and management prioritisation in Taizhou, China. It contains three complementary data products. First, a harmonized optical benchmark comprising 6,000 processed 800 × 800 images and 8,033 manually reviewed bounding-box annotations for three waste classes: domestic/mixed waste, construction waste, and industrial solid waste. The benchmark was assembled from four previously published waste-image collections and was further screened, cropped where applicable, standardised, and re-annotated under a unified taxonomy. Second, the release includes a field-verified inventory of 278 retained solid-waste sites established through candidate-directed reconnaissance, including site type and selected field attributes. Third, analysis-ready tables are provided for candidate verification, conditional type refinement, spatial modelling, GeoShapley attribution, network-data evaluation, and uncertainty-aware intervention prioritisation. The optical benchmark retains source-level provenance and attribution information for the original image collections. Source-specific reuse conditions are documented in the accompanying licensing and attribution file. Newly created annotations, harmonized class labels, split definitions, field records, metadata, and derived analytical outputs were produced for this study. The released data are intended to support reproducible research on solid-waste detection, field-informed inventory construction, spatial analysis, and evidence-based waste-management planning. Environmental Science Remote Sensing Geographic Information System Artificial Intelligence Applications Dataset doi:10.17632/353mxrnnjz.1 oai:data.mendeley.com/353mxrnnjz.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/353mxrnnjz 2026-09-24T23:24:49Z