Data Overview

The California Ground Squirrel (Otospermophilus beecheyi) is included in the Hibernomics Database. This page catalogs publicly available multi-omics datasets curated from peer-reviewed literature. Currently 2 out of 6 omics data types have associated public datasets, comprising 3 datasets in total.

2
SRA Datasets
With public archive accessions
3
Total Datasets
2 omics types with data
2
Publications
Peer-reviewed DOIs linked
2/6
Omics Coverage
Out of 6 data types

Omics Datasets

DNA
Available

Genomics

PacBio CLR + Hi-C (Omni-C)

AccessionPRJNA1214846
PlatformPacBio CLR + Hi-C (Omni-C)
RNA
Available

Transcriptomics

Illumina NovaSeq 6000 (13 tissues)

AccessionPRJNA804109
PlatformIllumina NovaSeq 6000 (13 tissues)
PRT
Not Available

Proteomics

No publicly available proteomics datasets were found in the literature for this species during systematic curation.

StatusNo public data
Last checked2025-01-01
Note-
MET
Literature

Metabolomics

LC-MS (metabolome)

StatusLiterature only
PlatformLC-MS (metabolome)
EPI
Not Available

Epigenomics

No publicly available epigenomics datasets were found in the literature for this species during systematic curation.

StatusNo public data
Last checked2025-01-01
Note-
MIC
Not Available

Microbiomics

No publicly available microbiomics datasets were found in the literature for this species during systematic curation.

StatusNo public data
Last checked2025-01-01
Note-

Seasonal Sampling Timeline

Comprehensive sampling across the complete annual physiological cycle, capturing key transcriptional regulatory and metabolic transition nodes.

Active
April - September
Foraging & fat accumulation
Reproductive activity
Normal metabolic rate
Entry
October - November
Gradual metabolic decline
Thermoregulatory shift
Fat reserve mobilization
Deep Hibernation
December - February
Body temp drops to 4°C
Significantly reduced HR
Periodic arousal
Arousal
March
Rapid temperature recovery
Metabolic restart
Organ function restoration

Need Raw Data?

All omics data with SRA/GEO accession numbers can be directly downloaded from NCBI or GSA. Literature-only datasets may require contacting original authors.

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