Microplastics Contamination in Canal Network: A Systematic and Bibliometric Analysis of Occurrence and Transport Dynamics Across Global Waterways
Description
This deposit contains the complete supporting data for the systematic review "Microplastics Contamination in Canal Network: A Systematic and Bibliometric Analysis of Occurrence and Transport Dynamics Across Global Waterways" (Journal of Contaminant Hydrology, manuscript CONHYD-D-26-00786). The review synthesises 37 peer-reviewed studies of microplastic occurrence in canals and other hydraulically managed conveyance channels, published between 2017 and 2025 and identified through a Scopus search executed on 1 January 2026. The deposit allows every count, proportion, and figure reported in the manuscript to be independently verified and reproduced. Contents Scopus search export (563 records, unfiltered, as retrieved) Study selection record: search strategy, eligibility criteria, canal definition, stage-by-stage PRISMA counts, and reasons for exclusion at full text Identifiers of the 37 included studies (author, year, title, source, DOI, Scopus EID, category) Extraction table: dominant morphology, size class, colour, and polymer for each study-matrix record, with abundance and units as originally reported Quality assessment: scoring rubric and item-level scores across five domains for all 37 studies Bibliometric input file (37 records, full Scopus metadata) Analysis notes: software versions, import settings, and the Biblioshiny panels used Figure source data: numerical values underlying each figure Notes on the data. The unit of analysis for composition results is the study-matrix record, defined as one combination of a single study and a single environmental matrix; the 37 studies yield 48 records. Records are counted as reporting a characteristic where the study identified either a single dominant category or explicitly reported no single dominant category. Denominators therefore differ between attributes: 46 for morphology, 39 for polymer, 34 for size class, and 30 for colour.
Files
Steps to reproduce
1. Literature search. The search was executed in Scopus on 1 January 2026 using the query reported in the manuscript Methods, applied across all indexed fields. No document-type, language, or publication-year filters were applied at the search stage. The unfiltered export of 563 records is provided as file 01. 2. Screening. Eligibility criteria and the operational canal definition were applied as documented in file 02. Applying these criteria in sequence gives the counts reported in the PRISMA flow diagram: 563 records identified, 0 duplicates removed, 84 excluded by document type, 7 published before 2017, 11 not in English, leaving 461 records screened on title and abstract; 409 excluded at that stage; 52 reports assessed at full text; 15 excluded with reasons; 37 studies included. The 37 included studies are listed with DOIs in file 03. 3. Data extraction. Data were extracted at the level of the study-matrix record, defined as one combination of a single study and a single environmental matrix. The 37 studies yield 48 records. Records are counted as reporting a characteristic where the study identified either a single dominant category or explicitly reported no single dominant category; records where the characteristic was not reported are excluded. Denominators therefore differ between attributes: 46 for morphology, 39 for polymer, 34 for size class, and 30 for colour. The completed extraction table is file 04. 4. Quality assessment. Each included study was scored 0 to 2 across five domains against the rubric provided in file 05, giving a total between 0 and 10. Studies scoring 8 to 10 were classified as low methodological risk, 4 to 7 as moderate, and 0 to 3 as high. 5. Bibliometric analysis. Outputs were generated in Biblioshiny from file 06, using the software versions, import settings, and panel selections recorded in file 07. 6. Figures. The numerical values underlying each figure are provided in file 08.
Institutions
- Islamic University of TechnologyDhaka Division, Dhaka