figshare + Loughborough Research Repository2026 · Astronomical catalogue
<b>Crop trajectory archetypes reveal agricultural adaptation to coupled climatic and socioeconomic changes in Northeast China</b><p dir="ltr">(1) The dataset is stored in the GCS_WGS_1984 geographic coordinate system.</p><p dir="ltr">(2) The crop classification data are provided as GeoTIFF raster files. Major crops in Northeast China are classified into three categories: rice, soybean, and maize, corresponding to raster values 1, 2, and 3, respectively.</p><p dir="ltr">(2) The crop trajectory dataset was derived from the an
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Data from: Low-cost CO₂ sensors reveal seasonal and management-driven soil carbon fluxes in a Mediterranean agroecosystem<p dir="ltr">Soil is the Earth’s second-largest carbon sink, and understanding soil carbon dynamics is critical for sustainable climate mitigation. Monitoring soil gas emissions offers an effective way to track changes in soil carbon storage driven by climate and agricultural practices. This study assessed seasonal soil CO₂ efflux from 5 ha of agricultural land in Merced, California, a Hot-Summer
figshare2026 · Astronomical catalogue
<b>EUNEP: </b>Crop mix shapes the interpretation of national nitrogen use efficiency<p dir="ltr">Code and data generated to reproduce the work entitled "Crop mix shapes the interpretation of national nitrogen use efficiency", submitted to Agronomy for Sustainable Development.</p><p dir="ltr">The WinRAR file contains:</p><ul><li>Input-output files used and generated during the crop mix counterfactual on NUE in Europe (2000-2021).</li><li>The R pipeline to conduct the crop mix coun
figshare2026 · Astronomical catalogue
Coordinating whole-profile soil resources and root functioning for sustainable agriculture<p dir="ltr">The data and code can reproduce the main figures in the paper.</p>
figshare2026 · Astronomical catalogue
Dataset for 'Tracking a decade of change: plant diversity decline parallels nutrient enrichment in Alpine semi-natural grasslands'<p dir="ltr">Alpine grasslands are among Europe’s most biodiverse ecosystems, yet they are increasingly affected by intensification, land-use change, and climatic and socio-economic shifts. While long-term biodiversity loss is well documented, short-term ecological changes remain poorly understood. Here, we assess ecological changes in Alpine semi-natural grasslands over a decade.</p><p dir="ltr">
figshare2026 · Astronomical catalogue
How Spatial Validation Changes Intervention Priorities: Machine Learning for Land Degradation Targeting in Kongwa, Tanzania<p dir="ltr"><b>How Spatial Validation Changes Intervention Priorities: Machine Learning for Land Degradation Targeting in Kongwa, Tanzania</b></p>