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- Data for: The synchrony of cover crop decomposition, enzyme activity, and nitrogen availability in a corn agroecosystemData for cover crop soil inorganic nitrogen availability study submitted for publication in December 2018 to the Journal of Soil and Tillage Research. Data are enzyme activity and inorganic nitrogen availability in cover cropped corn agroecosystems at the Purdue University Agriculture Center for Research and Education (ACRE) (2016, 2017).
- Dataset
- Data for: GIS based water balance components estimation in northern Ethiopia catchmentThe soil sampling units location was included.
- Dataset
- Data for: Maize straw mulching combined with no-tillage relieve drought stress during tillering improves grain yield and water-nitrogen use efficiency in a dry land wheat-maize rotation systemIn this data set, ALL of the data associated with the manuscript "Maize straw mulching combined with no-tillage relieve drought stress during tillering improves grain yield and water-nitrogen use efficiency in a dry land wheat-maize rotation system" are provided in a format of *opju, and you will be able to download these data and open it using the originlab 9.0 software after finial decision made by editor. If you have any interest, please do not hesitate to contact me. email. fangao20056@126.com
- Dataset
- Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.
- Dataset
- Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.
- Dataset
- 2019 Hyperspectral Remote Sensing Inversion Dataset of Organic Matter Content in Surface Soil of Cultivated Land at 30 m Resolution in 7 Counties and Districts of Baiquan, Mingshui, and Kedong in Heilongjiang ProvinceThis data set includes the remote sensing inversion data set of surface soil texture with 10 m resolution in Suihua City, Heilongjiang Province in 2020. Through remote sensing inversion, it reflects the surface soil texture and provides data support for soil remediation, soil fertility evaluation and other aspects.
- Dataset
- Data for "Modelling soil carbon stocks following reduced tillage intensity: a framework to estimate decomposition rate constant modifiers for RothC-26.3, demonstrated in north-west Europe"Dataset of paired observations of conventional tillage (CT) with no tillage (NT) and reduced tillage (RT) from studies in temperate oceanic regions of Western Europe, extracted from a recent systematic review (Jordon et al. preprint, see DOI below). R code of modelling framework to estimate tillage rate modifiers (TRM) for simulating adoption of RT and NT using RothC-26.3, and meta-estimates of TRM across studies.
- Dataset
- Data supporting the publication 'Best Management Practices to Alleviate Deep-Seated Compaction in Asparagus (Asparagus officinalis) Interrows (UK)'Attached files include data on infiltration (mm hr-1) and penetration resistance (MPa) data from 2016 to 2020. In this project, we investigated the long-term efficacy of a range of Best Management Practices (BMPs) targeted at preventing or remediating soil compaction in asparagus interrows as compared to conventional practice. BMPs included (1) companion crops - Rye (Sereale cecale L.), Mustard (Sinapis alba L.), (2) interrow surface mulch applications (straw mulch and PAS 100 compost in combination with shallow soil disturbance (SSD)) and (3) a combination of conventional tillage practices (re-ridging (R) and SSD) against (4) a zero-tillage option. Treatment codes: Bare soil = no interrow application; SSD = shallow soil disturbance; R or NR = re-ridging or non-ridging. Depths are recorded in cm unless different units are specified.
- Dataset