Citation and search trend data from 2004 to 2026 for terms like 'dark taxa' and 'cryptic species'. The dataset contains outputs from analyses conducted using Clarivate Web of Science and Google search data via Glimpse, created by Alexander Smith and hosted on Borealis Harvested Dataverse. It includes the R code used to generate figures for a related manuscript.
Use Cases
- Analyze the emergence and adoption of the term 'dark taxa' based on citation counts over time.
- Compare usage trends between 'cryptic species' and 'dark taxa' based on publication data.
- Map the geographic distribution of term usage based on corresponding author nations.
- Examine public interest in biodiversity terms based on monthly Google search volume data.
Strengths
- Includes data from Clarivate Web of Science, a major academic citation database.
- Covers a long time range from January 2004 to March 2026.
- Provides geographic analysis of term usage by corresponding author nation.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic or source bias inherent to the bibliographic databases used.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Citation analysis performed using Clarivate Web of Science and Google search data via Glimpse, with analysis conducted in R.
- Time Range
- 2004-01-01 to 2026-03-31
- Freshness
- Last updated 2026-05-30 04:10:53
- Geography
- Global, with nation-level data for corresponding authors.