The Bushland, Texas, maize evapotranspiration, growth, and yield dataset Collection.

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Data Pub Date : 2025-02-04 DOI:10.1038/s41597-025-04539-2
Steven R Evett, Gary W Marek, Paul D Colaizzi, Karen S Copeland, Brice B Ruthardt, Terry A Howell
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Abstract

A collection of datasets describing six years of experiments on maize (Zea mays, L.) (corn) is presented (1989, 1990, 1994, 2013, 2016, and 2018). Four weighing lysimeters were used to determine crop evapotranspiration (ET). In-soil and above ground microclimate and ET data are presented on a 15-minute interval as are weather data for all days of the year. Data analysis determined ET, precipitation, irrigation, and dew and frost accumulation on a 15-minute basis from lysimeter mass data. Soil water content data from calibrated neutron probe readings is presented on a periodic basis. Crop planting, harvest, fertilization, pest control, and other agronomic information are presented in agronomic calendars by day of year. Crop growth data are presented on a periodic basis throughout the growing season, as are final crop biomass and yield data. The data are suitable for analysis of effects of irrigation and other agronomic decisions on crop yield and water productivity in the Southern High Plains region of the USA, for model calibration and testing, and for model improvement.

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灌木丛,德克萨斯州,玉米蒸散,生长和产量数据集收集。
本文介绍了1989年、1990年、1994年、2013年、2016年和2018年对玉米(Zea mays, L.)进行的六年实验数据集。采用4台称重溶渗仪测定作物蒸散量。土壤内和地面上的小气候和ET数据每隔15分钟提供一次,全年的天气数据也提供一次。数据分析确定了蒸散发、降水、灌溉、露水和霜积累在15分钟的基础上从渗湿计的质量数据。土壤含水量数据从校准中子探针读数定期提出。农作物种植、收获、施肥、病虫害防治和其他农艺信息在农艺日历中按天呈现。作物生长数据在整个生长季节定期提供,最终作物生物量和产量数据也是如此。这些数据适用于分析灌溉和其他农艺决策对美国南部高平原地区作物产量和水分生产力的影响,适用于模型校准和测试,适用于模型改进。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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