161315e4-71c1-481d-906c-149ab2e9705c 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 2025-11-21T10:06:23 UK GEMINI 2.3 WGS 84 Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021 2023-02-06 publication https://catalogue.ceh.ac.uk/id/161315e4-71c1-481d-906c-149ab2e9705c 10.5285/161315e4-71c1-481d-906c-149ab2e9705c doi: Yu, D.W. (2023). Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021. NERC EDS Environmental Information Data Centre 10.5285/161315e4-71c1-481d-906c-149ab2e9705c This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in November-December 2021 in the 908 km2 forested ‘leakage belt’ buffer zone of the Gola Rainforest National Park (GRNP) in eastern Sierra Leone, where cocoa, a driver of deforestation, is the main cash crop. Each trap was set out for five days with >99% ethanol. The samples were transported from Sierra Leone to the UK, where they have been sent for metabarcoding for arthropods (using Leray2 PCR primers). The work was supported by the Natural Environment Research Council (Grant NE/S014063/1). Full details about this dataset can be found at https://doi.org/10.5285/161315e4-71c1-481d-906c-149ab2e9705c Yu, D.W. University of East Anglia douglas.yu@uea.ac.uk https://orcid.org/0000-0001-8551-5609 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 University of East Anglia douglas.yu@uea.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Yu, D.W. University of East Anglia douglas.yu@uea.ac.uk pointOfContact DNA conservation arthropod earth observation modelling GEMET - Concepts, version 4.1.3 2019-01-28 creation Sierra Leone Gola Rainforest National Park GeoNames 2006-01-01 creation Modelling West Africa metabarcoding environmental DNA metagenomics biodiversity indices systematic conservation planning machine learning cocoa joint species distribution modelling 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: Yu, D.W. (2023). Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/161315e4-71c1-481d-906c-149ab2e9705c textTable 15 English utf8 biota environment 2021-11-01 2021-12-31 -12.041 -10.25 6.872 10.012 Comma-separated values (CSV) Text NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/161315e4-71c1-481d-906c-149ab2e9705c Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/161315e4-71c1-481d-906c-149ab2e9705c.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 This file came into being from handwritten field datasheets from when we set out the Malaise traps. To ensure accurate recording and labelling of samples, all handwritten field sheets were transcribed to a spreadsheet on the day of collection, while sites were still fresh in the memory, and samples were clearly and multiply labelled before handing over to the sequencing service.