ab13a06f-392f-4bc6-b1bf-06dd8b020307 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 2025-11-13T16:20:14 UK GEMINI 2.3 WGS 84 Peat depths from the Pastaza-Marañón Basin, Amazonian Peru, 2019-2020 2023-06-19 publication https://catalogue.ceh.ac.uk/id/ab13a06f-392f-4bc6-b1bf-06dd8b020307 10.5285/ab13a06f-392f-4bc6-b1bf-06dd8b020307 doi: Lawson, I.T., Åkesson, C., Baker, T.R., Cordova Oroche, C.J., Dargie, G.C., del Aguila-Pasquel, J., Grandez Ríos, J., Hastie, A., Honorio Coronado, E.N., Mitchard, E.T., Roucoux, K.H., Reyna Huaymacari, J., Williams, M. (2023). Peat depths from the Pastaza-Marañón Basin, Amazonian Peru, 2019-2020. NERC EDS Environmental Information Data Centre 10.5285/ab13a06f-392f-4bc6-b1bf-06dd8b020307 Data on peat depth from >250 locations in the Pastaza-Marañón Basin, Amazonian Peru. The data were collected during a series of field campaigns in 2019 and 2020. These data, along with similar data collected under other projects, were used to train a predictive model of peat distribution. Locations of a small number of other sites are given without peat depth measurements (i.e. with NA in the column Peat_depth_cm); these sites relate to data reported elsewhere in the ‘Carbon Storage in Amazonian Peatlands’ data collection. Full details about this dataset can be found at https://doi.org/10.5285/ab13a06f-392f-4bc6-b1bf-06dd8b020307 Lawson, I.T. University of St Andrews itl2@st-andrews.ac.uk https://orcid.org/0000-0002-3547-2425 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 Åkesson, C. University of St Andrews cma20@st-andrews.ac.uk author Baker, T.R. University of Leeds t.r.baker@leeds.ac.uk https://orcid.org/0000-0002-3251-1679 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 Cordova Oroche, C.J. Instituto de Investigaciones de la Amazonía Peruana cesjimcoro@gmail.com https://orcid.org/0000-0002-0692-3186 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 Dargie, G.C. University of Leeds g.c.dargie@leeds.ac.uk author del Aguila-Pasquel, J. Instituto de Investigaciones de la Amazonía Peruana jdelaguilap@iiap.gob.pe author Grandez Ríos, J. Instituto de Investigaciones de la Amazonía Peruana jmgr_19@hotmail.com author Hastie, A. Charles University hastiea@natur.cuni.cz https://orcid.org/0000-0003-2098-3510 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 Honorio Coronado, E.N. University of St Andrews enhc1@st-andrews.ac.uk https://orcid.org/0000-0003-2314-590X 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 Mitchard, E.T. University of Edinburgh edward.mitchard@ed.ac.uk author Roucoux, K.H. University of St Andrews khr@st-andrews.ac.uk author Reyna Huaymacari, J. Instituto de Investigaciones de la Amazonía Peruana jmreynah@gmail.com author Williams, M. University of Edinburgh mat.williams@ed.ac.uk author Lawson, I.T. University of St Andrews itl2@st-andrews.ac.uk https://orcid.org/0000-0002-3547-2425 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 St Andrews itl2@st-andrews.ac.uk owner Instituto de Investigaciones de la Amazonía Peruana cesjimcoro@gmail.com owner hydrology mapping palaeoecology ecosystem peat GEMET - Concepts, version 4.1.3 2019-01-28 creation Peru Dipwell 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: Lawson, I.T., Åkesson, C., Baker, T.R., Cordova Oroche, C.J., Dargie, G.C., del Aguila-Pasquel, J., Grandez Ríos, J., Hastie, A., Honorio Coronado, E.N., Mitchard, E.T., Roucoux, K.H., Reyna Huaymacari, J., Williams, M. (2023). Peat depths from the Pastaza-Marañón Basin, Amazonian Peru, 2019-2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ab13a06f-392f-4bc6-b1bf-06dd8b020307 textTable English utf8 inlandWaters 2019-01-01 2020-12-31 -75.55 -73.16 -5.885 -0.844 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/ab13a06f-392f-4bc6-b1bf-06dd8b020307 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/ab13a06f-392f-4bc6-b1bf-06dd8b020307.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 data were collected in a series of field campaigns. Peat depth was measured by coring with a Russian-type or gouge auger. Location was recorded using a handheld consumer-grade GPS receiver. Qualitative observations of traces of human impact were recorded when they occurred.