SelectScience — Lab Product Reviews & Catalog

This is the instrument-market record of Datadory's life sciences tools & services slice: where PubChem catalogs molecules and UniProt catalogs proteins, SelectScience (operated by SelectScience Limited, Bath, UK) catalogs the equipment, consumables and antibodies labs actually buy, together with the verified scientist reviews attached to them. The catalog organizes under 13 scientific fields - Life Sciences, Drug Discovery & Development, Clinical Diagnostics, Environmental, Materials, Food & Beverage, General Lab, Lab Automation, Lab Informatics, Separations, Spectroscopy, Forensics and Cannabis Testing.

Scale first, because it decides what the record can carry: roughly 34,174 product URLs (25,000 plus 9,174 sitemap entries), about 238,382 antibody pages organized by target - the deepest single view of the reagent market in this slice - and 3,844 company profiles, all captured in August 2026. Every product rides with its manufacturer, category and technique classifications, an overall rating out of 5.0 and a review count; every review adds the reviewer's organization, application area, commentary text and three sub-dimension scores.

It scores 6 out of 10 on Datadory's rubric against a catalog averaging 7.81 across 1,744 datasets - the honest price of a community-review corpus whose aggregate totals are never published on one page. Within the slice it plays the buyer-side half beside PubChem PUG REST API's compound half and UniProt REST API's protein half. Get a sample of this dataset cut to your categories and competitors.

One row per product listing first, then the review rows that hang off it - exactly as they land in a delivery:

# delivered grain: one row per product listing

item_id         : i-p-220919
item_name       : Gyrolab xPlore(TM) immunoassay system
company_name    : Gyros Protein Technologies
category_name   : Clinical Diagnostics
technique_name  : Immunoassay,Automated ELISA Workstations
rating_overall  : 5.0 / 5.0      reviews_total : 1        sponsored : true
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# two more product rows from the same capture
PurePep Chorus peptide synthesizer   Gyros Protein Technologies   4.8 / 5.0   6 reviews
Rainin Low Retention Tips            Rainin                       4.7 / 5.0   1 review
HX204 Moisture Analyzer              METTLER TOLEDO               5.0 / 5.0   2 reviews

And the review grain underneath them:

# delivered grain: one row per published review

application_area : CHO HCP quantification kit
organization     : Regeneron Pharmaceuticals
review_date      : 7 Feb 2018
rating_dimensions: Ease of Use | After Sales Service | Value for Money

Read the top block as three decisions already made for you. The rating arrives split from the count - a 5.0 built on one review and a 4.8 built on six are different evidence weights, and both columns ship so nobody has to infer confidence. The taxonomy travels as comma-separated values (category_name, technique_name), so one immunoassay system files under Clinical Diagnostics and Lab Automation simultaneously without a mapping table. And the review row names its institution - Regeneron Pharmaceuticals, in the verification capture - which is what turns star averages into a who-is-using-what panel instead of a popularity poll.

Sixteen documented fields define the corpus, definitions verified against live output during the August 2026 research pass - a bar 1,495 of 1,744 cataloged datasets clear (85.7%). They split into four jobs:

• Identity: item_id (the platform's own key, e.g. i-p-220919) pins one address per product that survives title edits, with company_id and company_name doing the same for manufacturers.
• Classification: category_name carries field and sub-category assignments, technique_name the method classes - the two columns that let a query say all automated ELISA workstations without hand-building a list.
• Reception: reviews_total, the reviewed flag, and four averages out of five - reviews_rating_overall, reviews_rating_ease, reviews_rating_service, reviews_rating_value. The three sub-dimensions separate does it work from does the vendor answer the phone, a split most rating sources collapse.
• Commercial context and provenance: sponsorship_level marks paid placement so organic rankings stay separable, while review-level rows add application_area, review_date and the reviewer's organization.

The full dictionary follows in tabular form below.

• Geography - global vendor coverage: manufacturers worldwide sit in the 3,844 company profiles, reviewers contribute from laboratories around the world, and editorial operations run from the UK. Vendor-and-buyer pairs in one frame is what makes share-of-voice reads possible.
• Temporal - reviews date back to at least 2018 and accrue continuously; catalog maintenance ran through July 2026 in the research capture. Each delivery is a dated snapshot of the listings as they stood, so longitudinal series begin the moment your cadence starts.
• Granularity - three levels deep: one row per product listing, per published review beneath it, and per company profile above it. The antibody wing alone contributes about 238,382 pages across ten sitemap sections, keyed to the targets they claim to detect - gene-symbol joins into UniProt accessions are how the two corpora meet.

One honesty note on scale: the size figures derive from URL counts at research time and may include discontinued items, so treat them as catalog breadth rather than live inventory. Where the record ranks: best life sciences tools services datasets.

API, files, or your warehouse. Daily, weekly, or hourly.

You pick the channel and the cadence; pagination, taxonomy normalization and keeping organic listings apart from sponsored ones stay our problem. Rows arrive keyed on item_id with company and category identifiers intact, so this month's delivery appends onto last month's and diffs cleanly into new-listing and rating-change signals.

Hourly suits launch weeks, when a new instrument's first reviews land fast enough to matter to a sales team's morning. Daily fits competitor-watch desks diffing ratings and assortment. Weekly matches procurement cycles, where instrument decisions move in committee anyway. Whichever you choose, the sixteen-field dictionary travels unchanged. A sample ships first either way - real rows for your categories before any commitment.

Six jobs the review corpus settles outright:

1. Instrument procurement benchmarking - shortlist candidates by rating profile and review volume within a category before demos eat the quarter's calendar.
2. Vendor competitive tracking - rivals' new listings, sponsorship moves and rating drift surface between their press releases rather than after them; see competitor tracking.
3. Life-science tooling market sizing - category and technique counts across 13 fields give analysts a defensible segmentation denominator; see market sizing.
4. Sales account building - 3,844 company profiles name the vendor universe, review counts rank traction inside it; see price monitoring for the adjacent watch-desk pattern.
5. Antibody landscape mapping - ~238,382 target-keyed pages show who sells against which protein, the reagent market's supply side in one table; see supply chain mapping.
6. Review-text NLP prototyping - free-text commentary plus structured scores make supervised sentiment experiments possible where labels would otherwise be handmade; see ml model training.

Each job maps to a persona below, and the sample validates whichever one you came for.

Competitive Intelligence & Product Teams lead fit: a daily-turning public record of rival listings, ratings and sponsorship levels is the sentiment layer their surveys approximate badly - see life sciences tools services data for competitive intel product teams. Market Researchers & Consultants get the only instrument-market corpus in the slice, with category counts ready to size segments - see life sciences tools services data for market researchers. Sales & Growth Teams build account lists from 3,844 vendor profiles and prioritize by review traction - see life sciences tools services data for sales growth teams. Data Scientists & ML Engineers inherit labeled review text beside numeric scores - see life sciences tools services data for data scientists. Journalists, Academics & Students cite named institutions behind named instruments - see life sciences tools services data for journalists academics.

Persona fit has edges worth naming: this records what scientists say about products, not what anyone paid. Prices, purchase volumes and installed-base counts live elsewhere; pair accordingly rather than expecting one feed to carry the whole procurement ledger.

The card rail below gathers the natural companions:

• Life Sciences Tools & Services data hub - the pooled industry view this record files under, three primaries deep.
• Best life sciences tools services datasets - where quality 6 sits inside its slice, next to two quality-10 infrastructure records.
• PubChem PUG REST API - Chemical Structures & Properties - the compound half: structures and properties beside the instruments that measure them.
• UniProt REST API - Protein Sequence & Function - the protein half; gene symbols bridge its accessions to the antibody wing's target keys.
• CiteAb - Citation-Ranked Reagent & Supplier Database - citation-share evidence beside review-share evidence for the same reagent market.
• ATCC - Biological Materials Catalog - reference materials and cell lines, the catalog-watch complement for biological rather than instrumental stock.
• Addgene Plasmid Repository Catalog - plasmid distribution demand, completing the reagent-supply triangle.

Then get a sample of this dataset - real rows cut to your categories, vendors and review-date floors before any commitment.