SleekRank for fossil record pages
Keep specimens, formations, ages, and localities in a single sheet. SleekRank renders one indexable URL per fossil at /fossils/{slug}/ from a base page that holds the layout once.
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Fossil record pages are mostly structured fields
A fossil record page is fields more than prose: catalog number, taxon, formation, age in millions of years, period, locality, country, discovery year, and discoverer. Hand-built specimen pages drift quickly. Ages mix Ma with mya, formations alternate between full names and abbreviations, periods sometimes carry epoch suffixes and sometimes do not, and the binomial often loses its italics.
SleekRank reads a specimen sheet (Google Sheets or CSV) and renders one URL per row at /fossils/{slug}/ using a base WordPress page as the template. Age, formation, locality, and taxon slot into the same place on every page via selector mappings. Distinguishing features render as ordered lists via list mappings. Update the sheet, clear the cache, and every page reflects the new data.
The sample table behind this group already shows the pattern: tyrannosaurus-sue (Hell Creek, 67 Ma, South Dakota), archaeopteryx-london (Solnhofen, 150 Ma, Germany), tiktaalik-roseae (Fram Formation, 375 Ma, Nunavut), lucy-afarensis (Hadar, 3.2 Ma, Ethiopia), and ambulocetus-natans (Kuldana, 49 Ma, Pakistan). Each row carries its own geological context, and adding a new specimen is a sheet append plus a cache clear.
Workflow
From specimen sheet to per-fossil pages
Build the specimen sheet
Wire SleekRank mappings
Design the fossil page layout
Cache and ship
Data in, pages out
From specimen sheet to fossil pages
| slug | taxon | formation | age_ma | locality |
|---|---|---|---|---|
| tyrannosaurus-sue | Tyrannosaurus rex | Hell Creek | 67 | South Dakota, USA |
| archaeopteryx-london | Archaeopteryx lithographica | Solnhofen | 150 | Bavaria, Germany |
| tiktaalik-roseae | Tiktaalik roseae | Fram Formation | 375 | Nunavut, Canada |
| lucy-afarensis | Australopithecus afarensis | Hadar Formation | 3.2 | Afar, Ethiopia |
| ambulocetus-natans | Ambulocetus natans | Kuldana Formation | 49 | Punjab, Pakistan |
/fossils/{slug}/
- /fossils/tyrannosaurus-sue/
- /fossils/archaeopteryx-london/
- /fossils/tiktaalik-roseae/
- /fossils/lucy-afarensis/
- /fossils/ambulocetus-natans/
Comparison
Per-specimen posts versus a single source sheet
Manual posts per fossil
- Age units drift between Ma, mya, and million years
- Formation names alternate between full and abbreviated forms
- Locality strings mix countries, states, and dig sites
- Binomial italics get applied inconsistently
- Bulk updates after a taxonomic revision are slow
- New specimens mean cloning, editing, publishing one by one
SleekRank
- One URL per fossil from a single base page
- Age, formation, and locality live in fixed selector slots
- Diagnostic features render as clean lists
- Period, epoch, and discoverer become real fields
- Sheet edits flow to every page on cache flush
- Sitemap auto-includes every specimen URL
Features
What SleekRank gives you for fossil record pages
Per-specimen URLs
Each fossil in the sheet gets its own URL like /fossils/lucy-afarensis/, generated from one base page. Adding a newly described specimen is a row in the sheet, not a new WordPress post.
Features as lists
Map diagnostic-features or skeletal-element arrays to list selectors so each entry renders as its own list item with consistent formatting across the entire specimen catalog.
Sheet-driven edits
Paleontologists edit the sheet, not WordPress. Cache flushes, and every page reflects the new values. Reassigning a specimen to a new genus after a published revision happens in one place.
Use cases
Who builds fossil record pages with SleekRank
Natural history museums
Museums that publish their type and figured specimens online and need a structured page per catalog number with formation, age, locality, and accession metadata.
University paleontology programs
Programs that maintain teaching collections and want a clean per-specimen URL aligned to lecture references, with consistent fields across hundreds of fossils.
Field expedition archives
Long-running expeditions that catalog finds by season and locality, with one indexable page per specimen tied back to formation, horizon, and collector.
The bigger picture
Why fossil content is structured data
Fossil records are values masquerading as prose. Age is a number with a unit. Formation is a controlled vocabulary.
Period and epoch are ordinal categoricals from the geologic time scale. Locality is a region. Taxon is taxonomy.
Each one is structured data, and treating every specimen as a freeform post throws the structure away. Readers scanning a fossil page want to find the age, formation, and locality in the same place every time, not buried somewhere different on each post. With SleekRank, layout stays uniform because every page reads from the same fields.
Bulk updates after a taxonomic revision, say moving several specimens from one genus to another after a paper publishes, become a sheet edit instead of a multi-page audit. Museums, university programs, and expedition archives all benefit; readers get consistency, editors stay sane, and the SEO surface grows steadily as new specimens enter the collection.
Questions
Common questions about SleekRank for fossil record pages
No. SleekRank does not generate fossil content. You provide the sheet, catalog number, taxon, formation, age, locality, and so on, and SleekRank renders one page per row. Editorial responsibility for paleontological accuracy stays with you. SleekRank's role is the rendering and routing layer between the dataset and the live site.
 
Yes. Add an image_url column to the sheet and map it via a tag or selector mapping that injects an . For Open Graph cards, pair SleekRank with SleekPixel for dynamic OG images that take the slug as a parameter and render a branded card with the taxon and age.
Add an elements array column with each preserved element (skull, femur, ribs) and render it via a list mapping. For specimens with multiple catalog numbers across the same individual, use a related_catalog column rendered as cross-links on the page.
 Store period, epoch, and stage as separate columns and render each one with a selector mapping that wraps it in an anchor to a hub page like /periods/jurassic/. The dataset carries the values, the template carries the links.
 SleekRank caches the source per cacheDuration set in seconds. Edit the sheet, clear the SleekRank cache via WP-CLI or admin, and the next request rebuilds the page with new data. For fossil catalogs (a slow-changing domain) set cacheDuration high so the sheet is not constantly refetched.
 Yes. Each generated URL is a real WordPress page included in the sitemap. The base template is excluded automatically so the scaffolding does not compete with real specimen pages. Run a rewrite flush after adding new slugs so the routes resolve immediately on production.
 Yes, but that's a hub page rather than the per-specimen URL. Build /fossils/ as a filter page that pulls from the same dataset and filters by period, formation, or country. SleekRank handles the per-specimen detail pages; the hub uses the same source as the single point of truth.
 Pick a canonical slug (usually the original or most-cited name) and store synonyms as an array column rendered as 'also referred to as' on the page. Add redirects from old-name URLs so external citations resolve to the current page. The dataset stays the source of truth.
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