Beta oscillations in boundary vector cells. by Lear Cohen (15353793)

Using simulated cells to validate the analysis and setting thresholds for recorded data. by Lear Cohen (15353793)

Changing environmental geometry. by Lear Cohen (15353793)

Speed and allocentric swimming direction distribution across the water tank. by Lear Cohen (15353793)

Experimental setup and spike sorting. by Lear Cohen (15353793)

Boundary vector cells tuning to allocentric swimming direction. by Lear Cohen (15353793)

Boundary vector cells in the goldfish brain. by Lear Cohen (15353793)

Gallbladder fossa parameters in livers with gallbladders, segregated by sex. by Diana C. J. Rhodes (4268470)

Evaluation of gallbladder fossa after liver removal. by Diana C. J. Rhodes (4268470)

Comparison of gallbladder fossa parameters in livers from female cadavers with and without gallbladders. by Diana C. J. Rhodes (4268470)

Plots gallbladder fossae volumes versus different dimensions of the fossa mold for livers with (blue) and without (red) gallbladders (males (squares), females (circles)), showing P... by Diana C. J. Rhodes (4268470)

Comparison of liver weights (raw and corrected for femur length) in cadavers with and without gallbladders. by Diana C. J. Rhodes (4268470)

Comparison of gallbladder fossa parameters in livers from cadavers with and without gallbladders. by Diana C. J. Rhodes (4268470)

Supporting Material for Payumo, AY et al. (2021) Circulation by Alexander Payumo (21729128)

Source Data for main figures of publication Bittner et al. by Meriel Bittner (16500768)

“…In summer, abundant picocyanobacteria were important putative B1 sources, based on transcriptional activity, leading to an increase in the B1 pool. Our results provide a new dynamic view of the players and processes involved in B1 cycling over time in coastal waters, and identify specific priority populations and processes for future study.…”

Data Traine et al Too hot to handle.xlsx by Juan Traine (18764010)

Raw data and R code for Mayeur et al 2025 by Lilou Mayeur (21657597)

Perinatal outcomes of neonates [%]. by Huizhen Li (1522132)

“…According to their conditions, patients were further classified into the ET-PCOS group (group A, n = 104), ET-non-PCOS group (group B, n = 212), FET-PCOS group (group C, n = 102), or FET-non-PCOS group (group D, n = 148); the general data, laboratory indicators and pregnancy outcomes of the patients were statistically analyzed, and the perinatal outcomes and related factors between the groups were compared and analyzed.…”

Datasets used in the research. by Huizhen Li (1522132)

“…According to their conditions, patients were further classified into the ET-PCOS group (group A, n = 104), ET-non-PCOS group (group B, n = 212), FET-PCOS group (group C, n = 102), or FET-non-PCOS group (group D, n = 148); the general data, laboratory indicators and pregnancy outcomes of the patients were statistically analyzed, and the perinatal outcomes and related factors between the groups were compared and analyzed.…”

Perinatal complications of pregnant women [%]. by Huizhen Li (1522132)

“…According to their conditions, patients were further classified into the ET-PCOS group (group A, n = 104), ET-non-PCOS group (group B, n = 212), FET-PCOS group (group C, n = 102), or FET-non-PCOS group (group D, n = 148); the general data, laboratory indicators and pregnancy outcomes of the patients were statistically analyzed, and the perinatal outcomes and related factors between the groups were compared and analyzed.…”