A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The work draws on a large database of 723 rain gauges and the full 5km Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (TPR) record from 1998 to 2014. Each map is approximately 1MB Full details about this dataset can be found at https://doi.org/10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36

Automated measurements of water level and temperature at half-hourly intervals spanning parts of 2018, 2019 and 2020, from seven wetland sites in the Pastaza-Marañón Basin, Amazonian Peru. Full details about this dataset can be found at https://doi.org/10.5285/0d1d15da-e356-492d-88db-2dba3b9ec9b4

Spatial datasets of predicted land cover, peatland extent, peat thickness and peatland carbon storage for the Lowland Peruvian Amazon. Full details about this dataset can be found at https://doi.org/10.5285/db3de2d7-b094-4d15-a40b-edb618ede889

The research team collected data on soil-atmosphere exchange of trace gases and environmental variables during four field campaigns (two wet seasons, two dry seasons) the lowland tropical peatland forests of the Pastaza-Marañón foreland basin in Peru. The campaigns took place over a 27 month period, extending from February 2012 to May 2014. This dataset contains measurements from field sampling of soil-atmosphere fluxes concentrated on 4 dominant vegetation types in the lowland tropical peatland forests of the Pastaza-Marañón foreland basin. Vegetation types included; forested vegetation, forested [short pole] vegetation, Mauritia flexuosa-dominated palm swamp, and mixed palm swamp. They were measured at 5 different sites in Peru including; Buena Vista, Miraflores, San Jorge, Quistococha, and Charo. Greenhouse gas (GHG) fluxes were captured from both floodplain systems and nutrient-poor bogs in order to account for underlying differences in biogeochemistry that may arise from variations in hydrology. Parameters include methane and nitrous oxide fluxes, air/soil temperatures, soil pH, soil electrical conductivity, soil dissolved oxygen content, and water table depth. See documentation and data lineage for data quality. These data were collected in support of the NERC project: Amazonian peatlands - A potentially important but poorly characterised source of atmospheric methane and nitrous oxide (NE/I015469/2)

'Amazonian peatlands - A potentially important but poorly characterised source of atmospheric methane and nitrous oxide' was a NERC (Natural Environment Research Council) funded project from 2013-2014 with the following grant reference: NE/I015469/2. This dataset collection contains measurements from field sampling of soil-atmosphere fluxes concentrated on 4 dominant vegetation types in the lowland tropical peatland forests of the Pastaza-Marañón foreland basin. Vegetation types included; forested vegetation, forested [short pole] vegetation, Mauritia flexuosa-dominated palm swamp, and mixed palm swamp. Greenhouse gas (GHG) fluxes were captured from both floodplain systems and nutrient-poor bogs in order to account for underlying differences in biogeochemistry that may arise from variations in hydrology. Sampling was conducted during four field campaigns (two wet season, two dry season) over a 27-month period, extending from February 2012 to May 2014.

'Are tropical uplands regional hotspots for methane and nitrous oxide?' was a NERC (Natural Environment Research Council) funded project from 2010-2015 with the following grant references NE/H007849/1, NE/H006753/1 and NE/H006583/2. This dataset collection contains in-situ ground based soil-atmosphere flux and soil condition measurements from 4 different ecosystems located in the Peruvian Andes over ~2.5 years between 2010-2013. The ecosystems included upper montane forest (Wayqecha), lower montane forest (San Pedro), premontane forest (Villa Carmen) and grassland sites. At present, data are only available for 3 ecosystems; Wayqecha, San Pedro and Villa Carman. However, the grassland dataset will follow shortly along with some model output.

Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. Site NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare rates of litter and root production and decay at the two sites, over a complete annual cycle, in order to understand the dynamics of carbon accumulation in peat in this region. Selected datasets extend to other sites, in order to provide some context for the measurements from NYO-03 and VEN-02. Downcore data from peat cores from the sites provide palaeoecological information. Full details about this dataset can be found at https://doi.org/10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04

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

This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included. This data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú. Full details about this dataset can be found at https://doi.org/10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6

Averaged outputs from the WRF (Weather Research and Forecasting) model for the Rio Santa and Vilcanota, Urubamba and Vilcabamba catchments in Peru. Averaging was applied over the entire model period from 1980 to 2018. Data includes: - Averaged precipitation and air temperature records and the related standard deviation at a 4km resolution (annually and for each season) for each catchment. Monthly averaged and monthly totals of air temperature and precipitation (averaged over each catchment). - WRF model input elevation for each catchment. - WRF total precipitation and maximum/minimum air temperature at the location of five on-glacier weather stations (Artesonraju Glacier, Shallap Glacier, Cuchillacocha Glacier, Quisoquipina Glacier and Quelccaya Ice Cap) at a daily resolution from 1980 to 2018. Full details about this dataset can be found at https://doi.org/10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5