Table 1.

Comprehensive Description of the Curated Data Set

Category	Metric	Engineering
Physiology (15 min before and after surgery)	PCO2	1. Post-surgery – pre-surgery
		2. Z-score normalization
	PO2	1. Post-surgery – pre-surgery
		2. Z-score normalization
	MAP	1. Post-surgery – pre-surgery
		2. Z-score normalization
Motor, cylinder (before and 7 days post-injury)	# left forelimb placements	1. Post-injury – baseline
		2. Z-score normalization
	# right forelimb placements	1. Post-injury – baseline
		2. Z-score normalization
Biomarker (4 h and 24 h post-injury)	UCH-L1	1. $24h-4h$
		2. Z-score normalization
	GFAP	1. $24h-4h$
		2. Z-score normalization
Cognition (13–18 days post-injury)	Learning and memory	1. Day 1 latency average
		2. Day 4 latency average
		3. $Day1-Day4$
		4. Z-score normalization
	Memory retention (probe)	1. Percentage of time spent on target 2. Z-score normalization

The dataset utilized in each of the analyses includes four feature groups (column 1) and metrics (column 2) engineered from the raw data measures (column 3).

GFAP, glial fibrillary acidic protein; MAP, mean arterial pressure.