A multi-variable high-resolution dataset of N2O fluxes, isotopologue signatures, greenhouse gas fluxes, soil mineral nitrogen, microclimate, and crop yield from smallholder maize and potato systems

DOI

We present a multi-variable field dataset of nitrogen cycling and greenhouse gas measurements from smallholder maize and potato systems in Uasin Gishu County, Kenya (0°34′45″N, 35°18′22″E; 2,213 m a.s.l.), collected from March 2024 to March 2025. The dataset includes (1) automated chamber-based N₂O, CH₄, and CO₂ fluxes measured continously using a cavity ring-down spectrometer (Butterbach-Bahl et al., 1997; Zhu et al., 2024); (2) N₂O isotopologue signatures (δ¹⁵N_bulk, δ¹⁵N_site preference, δ¹⁸O); (3) soil stable isotopes (δ¹³C, δ¹⁵N) and elemental composition; (4) soil mineral nitrogen concentrations (NH₄⁺–N, NO₃⁻–N) from soil cores to 60 cm depth; and (5) continuous soil microclimate and meteorological variables recorded at 15-minute resolution. The dataset spans a full annual cycle, including long rains, dry season, short rains, and fallow periods, with temporal resolution ranging from sub-hourly to monthly. Measurements were conducted on Ferralsol soils (FAO, 2006) within a randomized complete block design with nitrogen fertilisation treatments (0, 50, and 100 kg N ha⁻¹) applied to maize and potato systems. The data were collected to support analysis of nitrogen cycling processes and greenhouse gas emissions in tropical agroecosystems and are suitable for applications in greenhouse gas inventories, process-based modelling, and evaluation of nitrogen management strategies in sub-Saharan Africa.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.995337
Related Identifier References https://doi.org/10.2139/ssrn.5912075
Related Identifier References https://doi.org/10.1023/A:1009785521107
Related Identifier References https://doi.org/10.1016/j.agee.2023.108724
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.995337
Provenance
Creator Ouma, Turry ORCID logo; Barthel, Matti; Oluoch, Kevin Churchill; Otinga, Abigael; Njoroge, Ruth; Leitner, Sonja; Oduor, Collins; Agredazywczuk, Phillip ORCID logo; Zhu, Yuhao; Tamburini, Federica ORCID logo; Obozinski, Guillaume; Six, Johan ORCID logo; Harris, Eliza
Publisher PANGAEA
Publication Year 2026
Funding Reference Swiss National Science Foundation https://doi.org/10.13039/501100001711 Crossref Funder ID 207348 https://data.snf.ch/grants/grant/207348 N2O-SSA: Combining measurements, modelling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Bundled Publication of Datasets; Collection
Format application/zip
Size 7 datasets
Discipline Earth System Research
Spatial Coverage (35.306 LON, 0.580 LAT)
Temporal Coverage Begin 2024-03-05T03:00:00Z
Temporal Coverage End 2025-03-14T19:30:00Z