Paleobiology Database
Paleobiology Database - Related Videos
16:17
The ITS2 Database
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Cited by 52 •
2012
The ITS2 Database is a workbench for phylogenetic inference simultaneously considering sequence and secondary structure of the internal transcribed spacer 2. This includes data collection with accurate annotation, structure prediction, multiple sequence-structure alignment and fast tree calculation. In a nutshell, this workbench simplifies first phylogenetic analyses to a few clicks.
01:28
Database Searching
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2026
Effective research begins with the ability to navigate academic databases efficiently. Unlike general web search engines, scholarly databases are designed to index peer-reviewed articles, conference proceedings, and other credible academic publications. Developing a structured search strategy ensures that researchers can identify relevant, high-quality sources with precision. For example, when studying how sleep patterns relate to circadian rhythms in humans, researchers should move beyond...
11:18
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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Cited by 5 •
2011
A thoracic oncology database was developed to serve as a comprehensive repository for clinical and laboratory data for the purposes of translational research. The database will serve translational cancer researchers within the Thoracic Oncology Research Program. This database is adaptable to other cancer models, as well as other human diseases.
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Cited by 510 •
2019
Literature databases are commonly used to assess publications in a certain subject, discipline, country, or region of the world, a practice known as bibliometric analysis. The current protocol details how to use PubMed, Scopus, and Web of Science databases to do bibliometric analysis.
05:34
Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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Cited by 7 •
2025
This article describes AMOS, the web-based Analytical Methods and Open Spectra database, a cheminformatics application designed to provide researchers with easy access to analytical methods and spectral data.
FAQs
Standardization makes records from different fossil collections comparable. Contributors describe taxa, geographic locations, geological ages, collections, and references in consistent forms, so researchers can combine observations rather than treating each collection as an isolated case. That structure supports computational searches and analyses across many records, which is essential for detecting broad patterns in past biodiversity.
Linking a fossil occurrence to both stratigraphic and geographic information adds temporal and spatial meaning to the biological record. Researchers can ask where a taxon occurred, when it occurred, and how those distributions changed through deep time. These linked dimensions help reveal broad biogeographic or evolutionary patterns across localities and geological intervals.
References and collection information provide provenance for database records. A researcher can connect an occurrence to the collection in which it was documented and to the supporting literature, then compare it with other standardized records. This traceable organization strengthens reproducibility because analyses can use shared, documented inputs rather than undocumented personal compilations.
Diversification and extinction analyses depend on comparing taxonomic occurrences across geological ages. The database brings those occurrences together with collection, location, and reference information, allowing researchers to evaluate changes in taxonomic representation through deep time. In biology, this supports questions about when biodiversity expanded, contracted, or was reorganized during evolutionary history.
A practical workflow begins by selecting the fossil taxa or time interval of interest, then searching the relevant standardized records. Researchers can compare occurrences by geological age and geographic location, inspect associated collections and references, and analyze the resulting dataset computationally. This sequence keeps the biological question connected to the evidence and its geological context.
Taxon identity, geographic location, geological age, collection information, and references should be considered together. Taxonomic data identify the organisms being studied, while location and age place each occurrence in space and time. Collection and reference details connect the entry to its documentation, helping researchers interpret comparisons and build reproducible analyses.
Because records are contributed in a standardized, shared system, researchers can compare information across collections, regions, taxa, and geological intervals. That wider scale supports studies of biogeography, evolution, extinction, diversification, and biodiversity change. It also provides a common foundation for examining how organisms and ecosystems responded to environmental change through deep time.