The file contains the coordinates of 2,069 soil samples collected in 2016, 2019, 2020, 2021, 2022, 2025, and 2026 from farmers' fields in the state of Guanajuato, Mexico, along with the corresponding soil analysis data. The soil samples were analyzed by Fertilab (www.fertilab.com.mx). Coordinates are provided to two decimal places. If full-precision GPS coordinates are required for research purposes, please contact CIMMYT.
The file contains the coordinates of 8 soil samples collected in 2025 from farmers' fields in the state of Durango, Mexico, along with the corresponding soil analysis data. The soil samples were analyzed by Fertilab (www.fertilab.com.mx). Coordinates are provided to two decimal places. If full-precision GPS coordinates are required for research purposes, please contact CIMMYT.
The file contains the coordinates of 255 soil samples collected in 2022, 2023, and 2025 from farmers' fields in the state of Chiapas, Mexico, along with the corresponding soil analysis data. The soil samples were analyzed by Fertilab (www.fertilab.com.mx). Coordinates are provided to two decimal places. If full-precision GPS coordinates are required for research purposes, please contact CIMMYT.
The file contains the coordinates for 6338 soil samples taken from 2016 to 2026 in farmer fields in Mexico with the corresponding soil analysis data. These soil samples were analyzed at Fertilab (www.fertilab.com.mx). Coordinates are limited to two digits behind the point. In case that full precision GPS data is needed for research please contact CIMMYT.
Research on the effect of split nitrogen application on wheat grain yield and quality under conservation agriculture. The study was conducted during the 2016-2017 and 2017-2018 fall-winter cycles in the Bajío region of Guanajuato. The effects of study locations, wheat varieties, nitrogen fractionation, and their interactions were evaluated.
El conjunto de datos describe un monitoreo integral de la fenología en la región Mixteca de Oaxaca, México, una zona predominantemente agrícola de temporal en la que los pequeños agricultores cultivan milpa (maíz, frijol y calabaza) de manera tradicional. Para evaluar el impacto del cambio climático en los ciclos agrícolas, se emplearon datos satelitales de MODIS y datos meteorológicos en cuadrícula provenientes de plataformas como Daymet y AgERA5, con una resolución de 1 km, que abarcan desde 1980 hasta 2024. Estos datos permiten determinar con precisión el inicio, pico y final de la temporada de crecimiento de los cultivos en la región, así como analizar tendencias climáticas y fenoclimáticas a lo largo de más de 40 años. Los análisis revelan que, en promedio, la temporada de cultivo comienza alrededor del 3 de junio, con el pico vegetal entre el 12 de agosto y el 9 de septiembre, y la finalización en finales de noviembre. Además, se detectó un aumento en la frecuencia de eventos de sequía y una disminución significativa en las precipitaciones a partir de 2013, evidenciando un cambio en las condiciones climáticas que afecta directamente la producción agrícola. Los mapas geoespaciales generados con TIMESAT permiten visualizar estos cambios a diferentes escalas, facilitando la toma de decisiones para la gestión agrícola y la adaptación al cambio climático. El conjunto de datos incluye archivos en diversos formatos (PDF, ZIP, NetCDF, CSV), con información sobre precipitaciones, temperaturas, radiación solar y estadísticas fenológicas, abarcando desde 1980 hasta 2023. Estos datos serán utilizados para desarrollar soluciones personalizadas y específicas para cada subregión, con el fin de mitigar el impacto del cambio climático en los medios de vida de los pequeños agricultores en la región Mixteca. The dataset describes a comprehensive monitoring of phenology in the Mixteca region of Oaxaca, Mexico, an area predominantly engaged in rainfed agriculture where small farmers traditionally cultivate milpa (maize, beans, and squash). To evaluate the impact of climate change on agricultural cycles, satellite-based MODIS data and gridded meteorological data from platforms such as Daymet and AgERA5 were used, with a resolution of 1 km, covering the period from 1980 to 2024. These data allow for precise determination of the start, peak, and end of the crops’ growing season, as well as analysis of climatic and phenoclimatic trends over more than 40 years. The analyses reveal that, on average, the planting season begins around June 3rd, with the vegetation peak between August 12th and September 9th, and the harvest ending in late November. Additionally, an increase in the frequency of drought events and a significant decrease in rainfall since 2013 have been observed, indicating a change in climatic conditions that directly affects agricultural production. The geospatial maps generated with TIMESAT enable visualization of these changes across different scales, facilitating decision-making for agricultural management and climate adaptation. The dataset includes files in various formats (PDF, ZIP, NetCDF, CSV) containing information on precipitation, temperatures, solar radiation, and phenological statistics, covering the period from 1980 to 2023. These data will be used to develop tailored, subregion-specific solutions aimed at mitigating the impacts of climate change on the livelihoods of small farmers in the Mixteca region.