AbstractDistinguishing gross primary production of sunlit and shaded leaves (GPP_sun and GPP_shade) is crucial for improving our understanding of the underlying mechanisms regulating long-term GPP variations. Here we produce a global 0.05°, 8-day dataset for GPP, GPP_shade and GPP_sun over 1992–2020 using an updated two-leaf light use efficiency model (TL-LUE), which is driven by the GLOBMAP leaf area index, CRUJRA meteorology, and ESA-CCI land cover. Our products estimate the mean annual totals of global GPP, GPP_sun, and GPP_shade over 1992–2020 at 125.0 ± 3.8 (mean ± std) Pg C a⁻¹, 50.5 ± 1.2 Pg C a⁻¹, and 74.5 ± 2.6 Pg C a⁻¹, respectively, in which EBF (evergreen broadleaf forest) and CRO (crops) contribute more than half of the totals. They show clear increasing trends over time, in which the trend of GPP (also GPP_sun and GPP_shade) for CRO is distinctively greatest, and that for DBF (deciduous broadleaf forest) is relatively large and GPP_shade overwhelmingly outweighs GPP_sun. This new dataset advances our in-depth understanding of large-scale carbon cycle processes and dynamics.