7b2071d6-da02-4f48-a87e-ccab19a737bd English ISO/IEC 8859-1 (also known as Latin 1) nonGeographicDataset nonGeographicDataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:21:04 UK GEMINI 2.3 Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions 2024-04-30 publication https://catalogue.ceh.ac.uk/id/7b2071d6-da02-4f48-a87e-ccab19a737bd 10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd doi: Delorme, P., Murphy, B.J., McLelland, S.J. (2024). Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions. NERC EDS Environmental Information Data Centre 10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at the upstream boundary of a flat sand bed. This model doesn’t attempt to reproduce any natural river, it’s a generic model design to explore the influence of discharge variation on the river evolution. We regularly measure the topography of the experimental area to follow the evolution of the river width, depth, slope, and conveyance capacity. The elevation is measured in metres. The associated table contains the experimental characteristics: time (seconds), water discharge (L/min), and morphological characteristics extracted from the DEM. This is the raw data, so the width is in pixels, the depth is in metres and the conveyance capacity is in metre pixel. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd Delorme, P. University of Hull p.m.delorme@hull.ac.uk https://orcid.org/0000-0002-5865-714X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Murphy, B.J. University of Hull b.j.murphy@hull.ac.uk author McLelland, S.J. University of Hull s.j.mcLelland@hull.ac.uk https://orcid.org/0000-0002-1223-0917 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Delorme, P. University of Hull p.m.delorme@hull.ac.uk pointOfContact University of Hull p.m.delorme@hull.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Elevation theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Hydrology Modelling elevation flood sequencing morphological evolution experimental rivers otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Delorme, P., Murphy, B.J., McLelland, S.J. (2024). Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd English utf8 elevation Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/7b2071d6-da02-4f48-a87e-ccab19a737bd Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/7b2071d6-da02-4f48-a87e-ccab19a737bd.zip Supporting information Supporting information available to assist in re-use of this dataset information nonGeographicDataset nonGeographicDataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The data have been generated using a terrestrial laser scanner (Faro Focus X330). The laser scanner is in a fixed position above the experimental area. Seven targets (coordinates known) are erected in the area. Each scan is therefore reoriented using the location of the target, using the Faro software (Scene). We only accept scans with a re-orientation error lower than 0.5 mm. If the error is higher, we redo the scan. The duration of a scan is about 10 minutes and the time between each scan depends on the experimental conditions (the exact duration between each scan can be found in the experimental data file). Once the scan has been reoriented, we pre-process it using CloudCompare to select only the experimental area (remove the wall and instrument), we then convert this into a tiff file to analyse with python. The scanner can’t see the surface under water, consequently we have to ensure that the experimental area is dry before we start scanning. If the surface is not dry the scan returns NaN values.