Variation curve of the extreme temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”

(A-B): Mean intraocular pressure (IOP) (A) and mean number of glaucoma medications (B) with standard deviations are shown for XEN (grey) and PRESERFLO (black) groups at baseline (p... by Cemre Altas (22537656)

Clinical data of dogs and comparisons among groups. Values are distributed into 4 groups based on the value of the perfusion index (PI). Groups P1, P2, P3, and P4 included measurem... by Francesca Zanusso (18864843)

No significant differences in the numbers of eggs between Mst1^+/+ and Mst1^ΔM/ΔM mice. by Jianyang Li (461703)

Cesarean section rate 2003-2017 among HSJ, control and Denmark. by Eva Rydahl (6260771)

Subjects:

Baseline characteristics for HSJ, control and Denmark (without HSJ) in the preintervention period, N = 289.045. by Eva Rydahl (6260771)

Subjects:

Change in maternal characteristics during 2003–2017, HSJ and control. by Eva Rydahl (6260771)

Subjects:

Cesarean section. by Eva Rydahl (6260771)

Subjects:

Flow chart of study participants. by Eva Rydahl (6260771)

Subjects:

Timeseries analyses HSJ trend before- and during intervention. by Eva Rydahl (6260771)

Subjects:

Absolute numbers among CS groups. by Eva Rydahl (6260771)

Subjects:

HSJ and controls stratified by timing for CS and parity. by Eva Rydahl (6260771)

Subjects:

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. by A. H. Ayesha Lavell (16734002)

Number of finishers by age group for women and men with the overall race times for each age group (HH:MM:SS). by Beat Knechtle (5504402)

Subjects:

The performance difference between the sexes (in percent) across age groups for split disciplines and overall race times. by Beat Knechtle (5504402)

Subjects:

Participants by event status and sex. by Beat Knechtle (5504402)

Subjects:

S1 Data - by Beat Knechtle (5504402)

Subjects:

Sex difference in swimming by split disciplines by the type of swim, bike, and run course. by Beat Knechtle (5504402)

Subjects:

Average split and overall race times (HH:MM:SS). by Beat Knechtle (5504402)

Subjects:

Split and overall race times for women and by age group. by Beat Knechtle (5504402)

Subjects: