Legacy "ISU AgClimate" 1986-~2013
"ISU Soil Moisture Network" ~2013-present
Daily Data Request Form
Information: This interface accesses the archive of daily weather
data collected from the Iowa State Agclimate Automated Weather stations. Please
select the stations and weather variables desired below.
Data Interval: Currently you are selected to download daily data.
You may wish to change this to hourly data.
Backend documentation exists for those wishing to script against this data service.
Publications Citing IEM Data (View All)
These are the most recent 10 publications that have cited the usage of data from this page. This list is not exhaustive, so please let us know if you have a publication that should be added.
- Ni, Zheng. 2026, Integrating Data-Driven Methods and Mechanistic Modeling for Plant Breeding. Oklahoma State Masters Thesis https://proquest.com/docview/3368111817
- Anjeeta, G., K. Nelson, et al. 2026, Effect of different environmental conditions on growth, biomass, and grain yield of industrial hemp varieties. Industrial Crops and Products https://doi.org/10.1016/j.indcrop.2026.123890
- Blauwet, M., S. Villarino, et al. 2026, Carbon loading regulates soil organic matter dynamics after digestate applications. Geoderma. Vol 472 https://doi.org/10.1016/j.geoderma.2026.117952
- Thinakaran, A. and A. Nair. 2026, Opportunities and Limitations of Mesotunnels for Pest Management in Organic Broccoli Production. Hort Technology. Vol 36, Iss 4 https://doi.org/10.21273/HORTTECH05923-26
- Wang, Z. 2026, Reinforcement Learning-Based Agricultural Management Subject to Climate Variability. PhD Thesis. University of Iowa https://www.proquest.com/docview/3358474921
- Herrington, T., A. Erler, et al. 2026, Application of machine learning to improve reanalysis soil temperatures over the extratropical northern hemisphere. Theor Appl Climatol 157, 419 https://doi.org/10.1007/s00704-026-06338-0
- Nelson, J., VanLoocke, A., et al. 2026, Biochemical contributions to soil aggregation under Miscanthus × giganteus. Research Square. https://doi.org/10.21203/rs.3.rs-9518769/v1
- Chang, Y. 2026, A PHYSIOLOGICAL PROCESS-BASED AND DATA-DRIVEN PLANT MODELING FRAMEWORK FOR DESCRIPTIVE, PREDICTIVE, AND PRESCRIPTIVE ANALYSES. Masters of Science. Oklahoma State University https://www.proquest.com/docview/3367912553
- Seraglio, N., A. Singh, et al. 2026, Mung bean yield stability exists across seeding rates. Crop, Forage, and Turfgrass Management. https://doi.org/10.1002/cft2.70137
- Alladassi, B., Q. Mu, et al. 2026, Persistent and Transient QTLs Underlying Growth Trajectory of Plant Height in Sorghum. https://doi.org/10.1093/jxb/erag062/8472299