Wetlands over the lowland Amazon basin from the Hess product [19,20]. by Nic Gedney (19762301)

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Decadal seasonality of the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

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The contemporary, long-term seasonality in inundation over the whole of the Amazon basin. by Nic Gedney (19762301)

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Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

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Simulated regional mean wetland seasons. by Nic Gedney (19762301)

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Regional contemporary (1990–1999 mean) precipitation and JULES inundation fraction over the Amazon basin. by Nic Gedney (19762301)

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Decadal mean regional hydrology. by Nic Gedney (19762301)

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Wetland classification using the ensemble simulations. by Nic Gedney (19762301)

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Percentage regional changes in decadal regional hydrology. by Nic Gedney (19762301)

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Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

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Wetland classification scheme for the contemporary period. by Nic Gedney (19762301)

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Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

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Variables of trees located at coordinates . by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Variables of patch located at coordinates . by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

MRSP Data collected in March 2018. by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Patient flowchart. by Anna D. Ware (19688153)

“…</p><p>Conclusions</p><p>Findings demonstrated that preexisting aspirin prescription prior to COVID-19 diagnosis was associated with significantly decreased risk of venous thromboembolism and pulmonary embolism but increased risk of acute arterial disease. …”

Data - Climate change impacts on Lactuca sativa.xlsx by Nicholas Yos (21507818)

“…Climate change-induced shifts in these environmental conditions have the potential to significantly affect nearly all terrestrial plants. A number of studies have explored the impacts of changing one or two of the conditions listed above, but few have examined the combined effects of all three. …”

Time evolution trend of green finance level. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”