Detailed information of the observation datasets. by Weidong Ji (129916)

“…<div><p>There are abundant wind energy resources along the coast of China. Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…<div><p>There are abundant wind energy resources along the coast of China. Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

Supplementary file 1_Intercropping of short- and tall-stature maize decreases lodging risk without yield penalty at high planting density.docx by Jianhong Ren (2186293)

“…Compared with IND, IHD did not significantly improve the population yield. The upper leaf area of intercropped XY was greater than sole stand, leading to increased interception of photosynthetically active radiation (PAR). …”

Image 1_Chromosome 1 variants associated with decreased HIV set-point viral load correlate with PRKAB2 expression changes.png by Riley H. Tough (14432838)

Supplementary file 1_Biodegradable plastic film mulch increased nitrous oxide emissions in organic leek but decreased emissions in organic cabbages.docx by Martin Samphire (22525445)

<b>Manure improves temperature sensitivity of soil organic carbon by increasing soil alphaproteobacteria, phenols, and pH and decreasing soil esters</b> by Andong Cai (5237024)

“…The results revealed that the Q₁₀ under M and NPKM were 1.59 and 1.66, respectively, which were significantly higher than those under CK (1.35), N (1.29), and NPK (1.36). …”

The nsP4-Q192L and C483Y mutations decrease the 4′-FlU sensitivity of both replication and transcription. by Peiqi Yin (6533747)

<i>Boro</i> rice yield (2002–2021) estimation utilizing MODIS data and a trained random forest model with 30 input variables having high importance. by Varun Tiwari (9258130)

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Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs). by Varun Tiwari (9258130)

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Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. by Varun Tiwari (9258130)

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Random forest top 30 variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature. by Varun Tiwari (9258130)

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Fig 1 - by Varun Tiwari (9258130)

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Fig 2 - by Varun Tiwari (9258130)

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Indices calculated using MODIS bands (B1-B7) which were used to estimate <i>boro</i> rice yields, where MODIS bands relate to indices as follows: B1 = RED, B2 = NIR1, B3 = BLUE, B4... by Varun Tiwari (9258130)

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Fig 7 - by Varun Tiwari (9258130)

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A flow chart of the methodology applied to estimate <i>boro</i> rice yield in Bangladesh. by Varun Tiwari (9258130)

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Fig 5 - by Varun Tiwari (9258130)

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Summary of significant single-arm time effect. by Wensheng Xiao (16557866)

Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

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Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

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