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2. Decadal increases in carbon uptake offset by respiratory losses across northern permafrost ecosystems

3. A community effort to track commercial single-cell and spatial ’omic technologies and business trends

8. Harmonised statistics and maps of forest biomass and increment in Europe

12. Mapping forest attributes using data from stereophotogrammetry of aerial images and field data from the national forest inventory

13. Correction: On the Relationship Between Aquatic CO2 Concentration and Ecosystem Fluxes in Some of the World’s Key Wetland Types

14. Adapting National Forest Inventories to changing requirements – the case of the Swedish National Forest Inventory at the turn of the 20th century

16. Soundscape descriptors in eighteen languages: Translation and validation through listening experiments

18. Improved large-area forest increment information in Europe through harmonisation of National Forest Inventories

19. On the Relationship Between Aquatic CO2 Concentration and Ecosystem Fluxes in Some of the World’s Key Wetland Types

26. Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin

27. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown

32. A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung

33. The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location

35. Spatial genomics maps the structure, nature and evolution of cancer clones

39. Causality guided machine learning model on wetland CH4 emissions across global wetlands

44. Mapping Secular Choirs in Sweden.

47. Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data

48. Effects of drought and meteorological forcing on carbon and water fluxes in Nordic forests during the dry summer of 2018

49. Altered energy partitioning across terrestrial ecosystems in the European drought year 2018

50. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

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