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Ouma, Turry; Barthel, Matti; Oluoch, Kevin Churchill; Otinga, Abigael; Njoroge, Ruth; Leitner, Sonja; Oduor, Collins; Agredazywczuk, Phillip; Zhu, Yuhao; Tamburini, Federica; Obozinski, Guillaume; Six, Johan; Harris, Eliza: Continuous soil microclimate and meteorological measurements from maize and potato plots in Uasin Gishu County, Kenya [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.995353 (dataset in review), In: Ouma, T et al.: 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 [dataset bundled publication]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.995337 (dataset in review)

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Abstract:
Continuous soil microclimate and meteorological measurements from the respective maize and potato plots in Uasin Gishu County, Kenya. Soil volumetric water content (m³ m⁻³) and temperature (°C) were measured at plot level using TEROS 11 sensors (METER Group, Pullman, WA, USA); soil oxygen concentration (%) was measured using SO-411 optical sensors (METER Group). Meteorological variables – including precipitation, air temperature and atmospheric pressure were recorded by two ATMOS 41 all-in-one weather stations (METER Group). All sensors logged at 15-minute resolution via ZL6 Pro data loggers with integrated solar panels and automatic cloud backup. Data span from March 2024 to March 2025 at the University of Eldoret, Uasin Gishu County, Kenya (0°34′45″N, 35°18′22″E; 2,213 m a.s.l.). Sensors were deployed across four instrumented treatment blocks. Data were collected to characterise the environmental drivers, and particularly soil moisture dynamics and precipitation timing that govern nitrogen cycling and greenhouse gas emissions, and to provide the covariate inputs required for machine-learning-based N₂O emission risk prediction. The fully solar-powered, cloud-connected sensor network was designed to operate autonomously under the infrastructure constraints typical of sub-Saharan African field research. All timestamps are in East Africa Time (UTC+3). This dataset is part of a multi-variable collection archived at PANGAEA.
Keyword(s):
Greenhouse gases; nitrogen cycling; Nitrous oxide; Stable isotopes; Sub-Saharan Africa
Supplement to:
Ouma, Turry; Barthel, Matti; Oluoch, Kevin Churchill; Otinga, Abigael; Njoroge, Ruth; Leitner, Sonja; Oduor, Collins; Agredazywczuk, Phillip; Zhu, Yuhao; Tamburini, Federica; Obozinski, Guillaume; Six, Johan; Harris, Eliza (submitted): A multi-variable dataset of N₂O fluxes, isotopologue signatures, soil mineral nitrogen, greenhouse gas emissions, and microclimate from smallholder maize and potato systems in Uasin Gishu County, Kenya (March 2024–March 2025). Earth System Science Data
Related to:
Oluoch, Kevin Churchill; Njoroge, Ruth; Otinga, Abigael; Mutua, Scholastica; Ouma, Turry; Agredazywczuk, Phillip; Barthel, Matti; Six, Johan; Collins, Oduro; Leitner, Sonja; Tufail, Muhammad; Oyugi, Antony; Harris, Eliza (preprint): Fate of Nitrogen in Rainfed Maize (Zea mays) Systems of the Tropical Highlands of Kenya Under Increasing Nitrogen Fertiliser Application Rates. https://doi.org/10.2139/ssrn.5912075
References:
Butterbach-Bahl, Klaus; Gasche, R; Breuer, Lutz; Papen, H (1997): Fluxes of NO and N2O from temperate forest soils: impact of forest type, N deposition and of liming on the NO and N2O emissions. Nutrient Cycling in Agroecosystems, 48(1-2), 79-90, https://doi.org/10.1023/A:1009785521107
IUSS Working Group WRB (2007): World Reference Base for Soil Resources 2006, first update 2007. World Soil Resources Reports No. 103. FAO, Rome
Zhu, Yuhao; Butterbach-Bahl, Klaus; Merbold, Lutz; Oduor, Collins; Gakige, Jesse Kagai; Mwangi, Paul; Leitner, Sonja (2024): Greenhouse gas emissions from sheep excreta deposited onto tropical pastures in Kenya. Agriculture, Ecosystems & Environment, 359, 108724, https://doi.org/10.1016/j.agee.2023.108724
Funding:
Swiss National Science Foundation (SNF), grant/award no. 207348: N2O-SSA: Combining measurements, modelling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Coverage:
Latitude: 0.579720 * Longitude: 35.306110
Date/Time Start: 2024-03-07T02:00:00 * Date/Time End: 2025-03-14T19:30:00
Minimum DEPTH, soil: 0.2 m * Maximum DEPTH, soil: 0.2 m
Event(s):
UoE-Kenya-2024-2025 * Latitude: 0.579720 * Longitude: 35.306110 * Date/Time Start: 2024-03-05T00:00:00 * Date/Time End: 2025-03-13T23:59:00 * Elevation: 2213.0 m * Location: Eldoret, Uasin Gishu County, Kenya * Method/Device: Field experiment
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Type of studyStudy typeOuma, Turry
2DATE/TIMEDate/TimeOuma, TurryGeocode – UTC
3Treatment: nitrogen fertilisationT:N fertkg/haOuma, TurryUrea (46% N) applied in 3 split applications
4Treatment: crop typeT:cropOuma, TurryMaize (H 6213) or Potato (Bidii)
5Species, unique identificationSpecies UIDOuma, TurryCrop type
6Species, unique identification (Semantic URI)Species UID (Semantic URI)Ouma, TurryCrop type
7Species, unique identification (URI)Species UID (URI)Ouma, TurryCrop type
8BlockBlockOuma, TurryRandomized complete block design (RCBD)Four replicate blocks
9Pressure, atmosphericPPPPhPaOuma, TurryWeather Station, METER, ATMOS 4115-minute resolution
10PrecipitationPrecipmmOuma, TurryWeather Station, METER, ATMOS 4115-minute accumulation
11DEPTH, soilDepth soilmOuma, TurryGeocode – mean
12Soil water content, volumetricvol SWCm3/m3Ouma, TurrySoil moisture and temperature sensor, METER, TEROS 1115-minute resolution; plot-level mean of 3 sensors per plot; 10 cm and 30 cm depth
13Temperature, soilT soil°COuma, TurrySoil moisture and temperature sensor, METER, TEROS 1115-minute resolution; 10 cm and 30 cm depth
14OxygenO%Ouma, TurryOxygen sensor, METER, SO-411soil; 15-minute resolution; one sensor per instrumented plot
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
485989 data points

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