Summary statistics of key variables. by Saul Estrin (8629173)

“…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”

Growth of certain cancer cell lines requires IRE1 but not its enzymatic activity. by Iratxe Zuazo-Gaztelu (21071939)

Growth of certain cancer cell lines requires IRE1 but not its enzymatic activity. by Iratxe Zuazo-Gaztelu (21071939)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Mean Values and Standard Deviations (Mean [±SD]) of Clinical Parameters: periodontal probing depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque ind... by Iva Milinkovic (22331710)

Boxplots comparing KGE_mean values of every scenario group (a-e) for calibration, where the black star is showing the mean. by Fabian Mitze (21084251)

Boxplots comparing KGE_mean values of every scenario setting (a-e) for validation, where the filled black dot symbolizes the mean. by Fabian Mitze (21084251)

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Validation results for the different scenario parameter sets and the resulting KGE_mean value. by Fabian Mitze (21084251)

Mean annual TSS load (metric tons) across the BASE20 and hypothetical fully developed and fully forested scenarios. by Elly T. Gay (21170097)

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Trust change by gender. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by age group. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by education level. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by source of science information. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Percent of land use during the BASE20 and HG-2 (MRISSP5) scenario along with corresponding mean annual TN concentration values (mg/L) across all intake locations. by Elly T. Gay (21170097)