The resource includes data extracted from published laboratory studies investigating the impacts of microfibres (fibres < 5 mm in size) on various traits within aquatic organisms. Data were accessible on 19/06/2024 and represent studies from 2015 to 2024. The dataset includes measured responses in a range of aquatic organisms after microfibre exposure. Measures correspond to the following defined traits: 1. Development-Healthy molting and growth of organs and structures. 2. Fecundity-Number of offspring and quality of gametes. 3. Feeding-Intake, handling and egestion of resources. 4. Growth-Change in organism weight, length or derived measures. 5. Hatching -Number, emergence time and morphology of offspring. 6. Non-apical endpoints-Indices and measures of general organism wellbeing. 7. Survival-Organisms alive at a particular time point. This dataset was created to collate microfibre study findings for meta-analyses and also to identify gaps within the literature. This work was supported by NERC (NE/Y003985/1) as part of the Future Fibres Networking Grant. This dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/8b7fcc6c-ac73-4f28-b82f-ea818b064915

This dataset comprises field sensor physicochemical and optical/fluorescence measurements, as well as laboratory microbiological and chemical analysis, for urban surface water samples. Samples were collected at different locations throughout the urban area of Kolkata, with the latitude and longitude of all sample location provided within the spreadsheets. Samples/data were collected across three separate field surveys undertaken in June 2018 (file 1), March 2019 (file 2) and December 2019 (file 3). This dataset forms a case study of the water quality of three different types of urban surface freshwaters within the city of Kolkata, India. This case study was created to deploy a prototype multichannel fluorimeter and assess its ability to identify waters with a high bacterial load and biological contamination events through the use of Peak T fluorescence. Full details about this dataset can be found at https://doi.org/10.5285/9bc3dce7-7c2b-49dd-9b76-819267d7a352