Trilobite Species and Geological Age Data

Columns

• scientific_name: The genus and species identification of the trilobite.
• Order, Family, Genus, Species: Hierarchical taxonomic classifications.
• order_num, family_num, genus_num: Numerical representations of the taxonomic hierarchy.
• early_interval and late_interval: The specific time period when the fossil was located.
• max_age_mya and min_age_mya: The estimated age range of the fossil, measured in millions of years.
• Country and State: Geographic location where the specimen was found.
• Longitude and Latitude: Precise coordinates of the find location.
• Latlng_basis: How the latitude and longitude were determined (e.g., estimated from map).
• Latlng_precision: The accuracy level of the coordinate values (e.g., seconds or minutes).
• Formation: The geological formation where the trilobite was discovered (e.g., the burgess shale).
• Stratigraphy_scale: The scale of the relevant formation (e.g., bed).
• Lithology: The primary rock type at the formation (e.g., limestone or shale).
• Environment: The ancient environment type represented when the trilobite was alive (e.g., marine indet.).
• assembly_composition: The types of fossils found alongside the trilobite (e.g., macrofossils).
• preservation_mode: How the trilobite was fossilised.
• collection_name and collection_type: Specific details regarding the fossil collection.
• life_habit: The lifestyle of the trilobite (e.g., low-level epifaunal).
• vision: Notes on the trilobite's visual capability.
• diet: The typical food source of the trilobite (e.g., carnivore or deposit feeder).
• time_period: The major geological time period during which the trilobite was alive (e.g., Ordovician or Cambrian).

Distribution

Usage

1. Machine Learning Classification: Training models to predict the geological time period (time\_period) based on features like taxonomy, location, and lithology.
2. Age Regression: Predicting the estimated age in millions of years (max\_age\_mya and min\_age\_mya).
3. Palaeoenvironmental Research: Analysing correlations between trilobite traits (diet, vision, life habit) and their environment or preservation mode.
4. Geospatial Analysis: Mapping the global distribution and concentration of specific trilobite orders and families using the latitude and longitude coordinates.

Coverage

License

Who Can Use It

• Earth Scientists and Palaeontologists: For rigorous academic research into trilobite evolution, distribution, and palaeoecology.
• Data Scientists: For developing and testing advanced classification and prediction models using large-scale biological and geological feature sets.
• Students and Educators: As a high-quality, structured resource for learning about earth science, deep time, and data analysis techniques.

Dataset Name Suggestions

• Trilobite Species and Geological Age Data
• Palaeozoic Trilobite Fossil Classification Features
• Global Trilobite Biostratigraphic Record

Attributes