遇见数据集

China harmonized antibiotics dataset: environmental antibiotics, clinical resistance, and statistical yearbook covariates

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Zenodo2026-09-17 更新2026-10-01 收录
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Curated, analysis-ready tables of environmental antibiotic concentrations in China, CARSS clinical antimicrobial resistance panels, and China Statistical Yearbook covariates for province-level One Health reuse. License (this curated package): Creative Commons Attribution 4.0 International (CC BY 4.0). The CC BY 4.0 grant covers our harmonization, cleaning, derived tables, codebook, and join keys. It does not replace the licenses or terms of upstream sources. Software / pipeline (MIT): https://github.com/mandmeier/cn_antibiotics — Software DOI: https://doi.org/10.5281/zenodo.22807986 This Zenodo package contains derived / curated tables only. We do not redistribute the original Zhang Figshare workbook, raw CARSS extracts, NBS yearbook workbooks, or the SimpleMaps shapefile here. Environmental concentrations (Zhang et al. 2022 + supplemental)- Upstream dataset: Zhang, Q. et al. A dataset of distribution of antibiotic occurrence in solid environmental matrices in China. figshare https://doi.org/10.6084/m9.figshare.19692241.v1 (2022).- Data Descriptor: Zhang, Q. et al. Sci Data 9, 276 (2022). https://doi.org/10.1038/s41597-022-01384-5- What we did: Harmonized names/units/matrices, added sparse supplemental literature rows, and built province- and site-level summaries. We did not generate the Zhang 2022 occurrence measurements; those rows remain attributed to Zhang et al. and their cited primary studies (Data_Sources.csv in the zip).- Not in this deposit: the original Figshare / Zhang_2022.xls file. Clinical resistance (CARSS)- Upstream: China Antimicrobial Resistance Surveillance System (CARSS) (https://www.carss.cn/).- What we did: Cleaned and reshaped a CARSS-derived panel into resistance_clean.csv.- Not in this deposit: raw CARSS distribution files. Yearbook covariates (NBS)- Upstream: National Bureau of Statistics of China (NBS) China Statistical Yearbook / related tables (https://www.stats.gov.cn/).- What we did: Harmonized metric names/units and curated yearbook_core.csv / yearbook_full.csv.- Not in this deposit: original NBS yearbook workbooks. Administrative boundaries (SimpleMaps / Pareto) — GitHub maps only- Upstream shapefile: GIS files © Pareto Software, LLC, CC BY 4.0. Attribute https://simplemaps.com whenever possible.- Not in this deposit: shapefile excluded from this zip. Recommended starts: env_abx_per_province.csv + resistance_clean.csv + yearbook_core.csv for province joins; codebook.csv and join_key.md for definitions. See README_deposit.md inside the zip.

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2026-09-17
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