DIETxPOSOME - Selection of potentially useful papers from literature mining and machine learning protocols

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Dataset information

Catalog

Zenodo catalog

Country of origin

EU institutions

Updated

2023.05.02 00:00

Created

2023.04.13

Available languages

English

Keywords

Mycotoxins, Polycyclic aromatic hydrocarbons (PAHs), Vegetables, Fish and Seafood, Desinfection by-products, Starchy roots, Dairy, Legumes, Metals, Vegetable oils, Spices, Meat, Food, Nuts, Pesticides, Contaminants, Eggs, Polychlorinated biphenyls (PCBs), dioxins, and furans, Heterocyclic aromatic amines (HAAs), Cereals

Datasource

Official portal for European data link

Quality scoring

Dataset description

DIETxPOSOME database concerning literature selection of potentially useful papers retrieved from PubMed search API, concerning contaminants quantification in food items of worldwide highest supply and using FoodMine code (text matching filter) and machine learning (ML) protocols. A list of 2,442 papers that potentially contained relevant information, covering the period between 2000 and 2022, was compiled from an initial number of 1,932,345 papers.

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190K+

indexed dataset pages

countries and EU institutions

2019

API-first since

Free API quota

for evaluation and prototypes

SLA

history and push on production APIs

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