174ef670-6db9-4fb9-9961-27b2cee57adc English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset 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 2025-11-21T10:52:38 UK GEMINI 2.3 OSGB 1936 / British National Grid Terrestrial LiDAR data of Bramcote Hills Park wood, Nottinghamshire, UK in 2023 2023-12-05 publication https://catalogue.ceh.ac.uk/id/174ef670-6db9-4fb9-9961-27b2cee57adc 10.5285/174ef670-6db9-4fb9-9961-27b2cee57adc doi: Grebby, S., van der Heijden, G. (2023). Terrestrial LiDAR data of Bramcote Hills Park wood, Nottinghamshire, UK in 2023. NERC EDS Environmental Information Data Centre 10.5285/174ef670-6db9-4fb9-9961-27b2cee57adc This dataset contains forest structure measurements for a wooded area where the liana Hendra helix (common ivy) is present. The dataset comprises two overlapping 3D point clouds for a small wooded area covering nearly 18000 m2 of Bramcote Hills Park (Nottinghamshire, UK) for a sample of trees infested with liana as well as a non-infested sample of trees. This datasets was acquired using a terrestrial Light Detection And Ranging (LiDAR) scanner on 13 January 2023, as part of a study assessing the diversity and composition of soil and litter dwelling organisms associated with liana infestations within forests. The work was supported by the Natural Environment Research Council (Grant NE/X018083/1). Full details about this dataset can be found at https://doi.org/10.5285/174ef670-6db9-4fb9-9961-27b2cee57adc Grebby, S. University of Nottingham stephen.grebby@nottingham.ac.uk https://orcid.org/0000-0001-9768-2682 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 van der Heijden, G. University of Nottingham Geertje.VanDerheijden@nottingham.ac.uk https://orcid.org/0000-0002-2110-5173 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 Grebby, S. University of Nottingham stephen.grebby@nottingham.ac.uk https://orcid.org/0000-0001-9768-2682 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 pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Nottingham stephen.grebby@nottingham.ac.uk owner Habitats and Biotopes theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication forestry GEMET - Concepts, version 4.1.3 2019-01-28 creation Nottinghamshire Terrestrial LiDAR canopy structure liana 3d point clouds otherRestrictions Registration is required to access this data otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Grebby, S., van der Heijden, G. (2023). Terrestrial LiDAR data of Bramcote Hills Park wood, Nottinghamshire, UK in 2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/174ef670-6db9-4fb9-9961-27b2cee57adc vector English utf8 biota 2023-01-13 2023-01-13 -1.251 -1.249 52.936 52.938 las NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/174ef670-6db9-4fb9-9961-27b2cee57adc Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/174ef670-6db9-4fb9-9961-27b2cee57adc.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 dataset was acquired using a Leica RTC360 instrument from two scan locations with overlapping coverage. The data were converted from the proprietary file format (.scan) to LAS (.las) 3D point clouds using Leica Cyclone. The dataset comprises the x-y-z coordinates and intensity and Red-Green-Blue values for each laser return (approx. 200 million in total).