BUSCADOR RECOLECTA

3 pages. -- Figure 1 Supplementary Information. Scatters of the validation of satellite-derived bathymetry (SDB) against high-resolution in-situ lidar surveys in the study regions. -- Figure 2 Supplementary Information. Accuracy statistics a) mean bias (m) and b) median absolute error (MedAE; m) of satellite-derived bathymetry (SDB) estimation compared with high-resolution lidar data in the seven study regions at different depth ranges. -- Figure 3 Supplementary Information. Turbidity proxy of the red-edge band (Rrs 704 nm) after the composite approach for each study site, depicting the complexity of the different water masses accordingly to the water clarity conditions, Peer reviewed

2 pages. -- Figure S1. Scheme of the multigenerational risk assessment of D. magna exposed to environmentally relevant concentrations of fluoxetine. -- Figure S2. Scheme of the colonisation behaviour of D. magna F3 - juveniles regarding environmentally relevant concentrations of fluoxetine after the multigenerational exposure assessment. -- Figure S3. HeMHAS (heterogeneous multi-habitat assay system), 24 compartments and 38 electronically controlled doorways. -- Figure S4. Scheme of the avoidance risk assessments of D. magna exposed to concentrations of fluoxetine simulating a future worse scenario., Peer reviewed

6 pages. -- Table S.1. Main characteristics for each chemical investigated in this study. -- Table S.2. Growth rates calculated for both P. parvum and H. akashiwo upon exposure to different concentration of reagents tested (H2O2, PAA, PMS, PDS, NaClO). -- Table S.3a. Fitted parameters obtained from modelling the concentration-response curves represented on Figures 1-5. -- Table S.3b. Fitted parameters obtained from modelling the concentration-response curves represented on Figures 1-5., Peer reviewed

2 tablas, 2 figuras, Peer reviewed

15 pages. -- Includes: Fig. S1- Fig. S7. -- Table S1 - Table S4. -- References, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

7 pages. -- Figure S1. Overview of system (Heterogeneous Multi-Habitat Test System - HeMHAS) used in the present study. -- Table S1: Values (mean ± standard deviation) of fipronil and 2,4-D determined at each initial concentration tested in the chronic experiments for the insecticide and herbicide, respectively, in micrograms per liter (μg/L). < QL = less than the quantification limit. -- Table S2: Values (mean ± standard deviation) of fipronil and 2,4-D determined at each concentration tested in the avoidance experiments for the insecticide and herbicide, respectively, in micrograms per liter (μg/L). -- Table S3: Values (mean ± standard deviation) of fipronil and 2,4-D determined at each concentration tested in the colonization experiments for the insecticide and herbicide, respectively, in micrograms per liter (μg/L). -- Table S4: Values (mean ± standard deviation) of fipronil and 2,4-D, determined at each concentration tested in the colonization experiment for the herbicide and insecticide, respectively, in micrograms per liter (μg/L). -- Table S5a: Mixed-design ANOVA for the avoidance test with D. magna exposed to fipronil. Time was treated as a within-subjects factor (repeated measurements) and compartments were treated as between-subjects factor. -- Table S5b:Within-subjects effects with Greenhouse-Geisser correction for degrees of freedom. -- Table S5c:Between-subjects effects. -- Table S6a:Mixed-design ANOVA for the avoidance test with D. magna exposed to 2,4-D. -- Table S6b:Within-subjects effects with Greenhouse-Geisser correction for degrees of freedom. -- Table S6c:Between-subjects effects., Peer reviewed

10 pages. -- Further information about “Data and methodology”, Figures S1, S2, S3, S4 and S5, and Table S1., Peer reviewed

This repository has two Python codes in the .ipynb format. -- "Georeferencing", which was the method used for the georeferencing of each of the individual captures taken with the Micasense multispectral sensor RedEdge-MX equipped on the UAV based on the sensor's metadata. This code is a modification of https://github.com/micasense/imageprocessing. -- "Merging", which is the novel part of the code used to combine and calculate the average value of each of the UAV captures overlapped with each other., Download of the data available in the publisher platform., This repository contains a Python workflow that can be used to stitch individual UAV (drone) captures to generate an orthomosaic over aquatic areas. This code arises as a complement to the methodology developed by Windle & Silsbe (2021), and can be applied to any method that retrieves Rrs from RAW data of any multispectral sensor mounted on UAVs. In addition, the code has been prepared for its use with datasets obtained with any UAV sensor., Peer reviewed

5 pages. -- This PDF file includes: Figs. S1 to S2. -- Tables S1 to S2., Peer reviewed

46 pages. -- Figure S1. Map of the study area. -- Table S1. Project calendar. -- Table S2. List of participants in the horizon scanning per group. -- Table S3. List of removed species. -- Table S4. Arrival scoring criteria. -- Table S5. Establishment scoring criteria. -- Table S6. Impact scoring criteria. -- Table S7. Confidence level scoring criteria. -- Table S8. Illustration of the two components of reliability. -- Table S9. Functional groups and associated abbreviations. -- Table S10. Native geographical region for inland species and associated abbreviations. -- Table S11. Native geographical region for marine species and associated abbreviations. -- Table S12. Classification of potential pathways. -- Table S13. Results of the beta regression model. -- Figure S2. Confidence level shown by experts. -- Table S14. Results of consistency analysis. -- Figure S3. Relationship between Krippendorff’s α and Kendall’s coefficient of concordance (W). -- Table S15. Number of potentially invasive species by thematic group. -- Table S16. List of species with very high risk. -- Table S17. List of species with high risk. -- Table S18. List of species with moderate risk. -- Table S19. List of species with low risk. -- Table S20. Prioritized species of special interest in insular Spanish territories. -- References., Peer reviewed