Raw data and code for MS submission to Ecological Solutions and Evidence
Abstract
Code for MS entitled "Predicting spatiotemporal dynamics of European eel aggregations to inform species recovery strategies" submitted to Ecological Solutions and Evidence 1. Abberton_distAbsRaster - rasterfile of distances to abstraction point. generated in QGIS 2. Abberton_distStourInp_Raster - rasterfile of distances to main stour input. generated in QGIS 3. Abberton_WeatherStationData_202303_202411 - csv of raw data collection from Abberton weather station 4. biobase_depth_griddata - csv of gridded bathymetry data from biobase survey 5. eel_agg_2hr50m - Rcode for generating aggregation data using spatsoc at spatio-temporal thresholds of 50m and 2 hours 6. GAM_SDM_count_2HR50M_MOD_V4 - RCode for generating predictive models on final count dataset 7. GAM_SDM_count_corComp_V4 - Rcode for comparing different spatio-temporal thresholds for generating aggregations 8. GAM_SDM_count_environmental_2hr50m_V2 - Rcode for adding environmental data to the count dataset 9. GAM_SDM_pres_2HR50M_MOD_V4 - Rcode for running predictive models on final presence dataset 10. GAM_SDM_pres_environmental_2hr50m_multiple_V2 - Rcode for adding in environmental data to the presence datasets 11. GAM_SDM_pres_model_assess_V9 - Rcode for conducting model assessments at varying presence/ pseudo-absence ratios 12. GAM_SDM_pres_prep_multiple_2hr50_V1 - Rcode for generating pseudo-absence data 13. gam_effectSizes_visulisations_V7 - RCode for visualising model outputs 14. grp_DAT_2hr50m - raw aggregation data as csv file generated at spatio-temporal thresholds of 50m and 2 hours 15. GRP_DAT_2HR50M.RData - RDAT file. first set of processed data derived from the eel_agg_2hr50m Rcode. 16. HR2_data_prep_ALL_V5 - Rcode for uploading and formatting csv VPS files produced by innovasea. Initial data filtering and prep 17. REC_TEMPDAT_V1 - raw temperature data from receivers as VDAT file
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 July 2026
- Document type
- Dataset