Substances

**Overview**
This data package contains the entire concept structure (sematic type, concepts and replationship) of UMLS Metathesaurus for the biomedical domain "Substances".

**Description**
The UMLS, or Unified Medical Language System, is a set of files and software that brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. There are three UMLS Knowledge Sources:
- The Metathesaurus, which contains over one million biomedical concepts from over 100 source vocabularies
- The Semantic Network, which defines 133 broad categories and fifty-four relationships between categories for labeling the biomedical domain
- The SPECIALIST Lexicon & Lexical Tools, which provide lexical information and programs for language processing The Metathesaurus is a large, multi-purpose, and multi-lingual vocabulary database that contains information about biomedical and health related concepts, their various names, and the relationships among them. The Metathesaurus is built from the electronic versions of many different thesauri, classifications, code sets, and lists of controlled terms used in patient care, health services billing, public health statistics, indexing and cataloging biomedical literature, and/or basic, clinical, and health services research. The Metathesaurus contains over five million terms, or names, organized by meaning into concepts and assigned a unique identifier. The Metathesaurus is not a vocabulary. It contains many vocabularies that are standards and helps to create mappings between these vocabularies. The Semantic Network consists of:
Semantic types (high level categories)
- Semantic relationships (relationships between semantic types): The Semantic Network can be used to categorize any medical vocabulary. There are 133 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types. Semantic types and semantic relationships create a network that represents the biomedical domain. Semantic types and relationships help with interpreting the meaning that has been assigned to the Metathesaurus concept.

**Benefits**
- the purpose of the umls is to improve the ability of computer programs to "understand" the biomedical meaning in user inquiries and to use this understanding to retrieve and integrate relevant machine-readable information for users.
- one powerful use of the umls is linking health information, medical terms, drug names, and billing codes across different computer systems.
- linking terms and codes between your doctor, your pharmacy, and your insurance company.
- patient care coordination among several departments within a hospital.
- timely access to accurate and up-to-date information improves decision making and ultimately the quality of patient care and research.
- the umls has many other uses, including search engine retrieval, data mining, public health statistics reporting, and terminology research.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Amino Acid Peptide or Protein Concepts and Types](https://www.johnsnowlabs.com/marketplace/amino-acid-peptide-or-protein-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Amino Acid Peptide or Protein". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Amino Acid Peptide or Protein Relationships](https://www.johnsnowlabs.com/marketplace/amino-acid-peptide-or-protein-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Amino Acid Peptide or Protein". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Antibiotic Concepts and Types](https://www.johnsnowlabs.com/marketplace/antibiotic-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Antibiotic". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Antibiotic Relationships](https://www.johnsnowlabs.com/marketplace/antibiotic-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Antibiotic". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Biologically Active Substance Concepts and Types](https://www.johnsnowlabs.com/marketplace/biologically-active-substance-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Biologically Active Substance". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Biologically Active Substance Relationships](https://www.johnsnowlabs.com/marketplace/biologically-active-substance-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Biologically Active Substance". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Biomedical or Dental Material Concepts and Types](https://www.johnsnowlabs.com/marketplace/biomedical-or-dental-material-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Biomedical or Dental Material". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Biomedical or Dental Material Relationships](https://www.johnsnowlabs.com/marketplace/biomedical-or-dental-material-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Biomedical or Dental Material". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Body Substance Concepts and Types](https://www.johnsnowlabs.com/marketplace/body-substance-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Body Substance". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Body Substance Relationships](https://www.johnsnowlabs.com/marketplace/body-substance-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Body Substance". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Chemical Concepts and Types](https://www.johnsnowlabs.com/marketplace/chemical-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Chemical". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Chemical Relationships](https://www.johnsnowlabs.com/marketplace/chemical-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Chemical". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Chemical Viewed Functional Concepts and Types](https://www.johnsnowlabs.com/marketplace/chemical-viewed-functional-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Chemical Viewed Functionally". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Chemical Viewed Functional Relationships](https://www.johnsnowlabs.com/marketplace/chemical-viewed-functional-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Chemical Viewed Functionally". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Chemical Viewed Functionally Concepts and Types](https://www.johnsnowlabs.com/marketplace/chemical-viewed-functionally-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Chemical Viewed Functionally". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Chemical Viewed Functionally Relationships](https://www.johnsnowlabs.com/marketplace/chemical-viewed-functionally-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Chemical Viewed Functionally". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Chemical Viewed Structural Concepts and Types](https://www.johnsnowlabs.com/marketplace/chemical-viewed-structural-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Chemical Viewed Structurally". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Chemical Viewed Structural Relationships](https://www.johnsnowlabs.com/marketplace/chemical-viewed-structural-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Chemical Viewed Structurally". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Chemical Viewed Structurally Concepts and Types](https://www.johnsnowlabs.com/marketplace/chemical-viewed-structurally-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Chemical Viewed Structurally". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Chemical Viewed Structurally Relationships](https://www.johnsnowlabs.com/marketplace/chemical-viewed-structurally-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Chemical Viewed Structurally". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Clinical Drug Concepts and Types](https://www.johnsnowlabs.com/marketplace/clinical-drug-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Clinical Drug". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Clinical Drug Relationships](https://www.johnsnowlabs.com/marketplace/clinical-drug-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Clinical Drug". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Drug Delivery Device Concepts and Types](https://www.johnsnowlabs.com/marketplace/drug-delivery-device-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Drug Delivery Device". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Drug Delivery Device Relationships](https://www.johnsnowlabs.com/marketplace/drug-delivery-device-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Drug Delivery Device". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Element Ion or Isotope Concepts and Types](https://www.johnsnowlabs.com/marketplace/element-ion-or-isotope-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Element Ion or Isotope". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Element Ion or Isotope Relationships](https://www.johnsnowlabs.com/marketplace/element-ion-or-isotope-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Element Ion or Isotope". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Enzyme Concepts and Types](https://www.johnsnowlabs.com/marketplace/enzyme-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Enzyme". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Enzyme Relationships](https://www.johnsnowlabs.com/marketplace/enzyme-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Enzyme". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Food Concepts and Types](https://www.johnsnowlabs.com/marketplace/food-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Food". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Food Relationships](https://www.johnsnowlabs.com/marketplace/food-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Food". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Hazardous or Poisonous Substance Concepts and Types](https://www.johnsnowlabs.com/marketplace/hazardous-or-poisonous-substance-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Hazardous or Poisonous Substance". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Hazardous or Poisonous Substance Relationships](https://www.johnsnowlabs.com/marketplace/hazardous-or-poisonous-substance-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Hazardous or Poisonous Substance". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Hormone Concepts and Types](https://www.johnsnowlabs.com/marketplace/hormone-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Hormone". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Hormone Relationships](https://www.johnsnowlabs.com/marketplace/hormone-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Hormone". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Immunologic Factor Concepts and Types](https://www.johnsnowlabs.com/marketplace/immunologic-factor-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Immunologic Factor". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Immunologic Factor Relationships](https://www.johnsnowlabs.com/marketplace/immunologic-factor-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Immunologic Factor". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Indicator Reagent or Diagnostic Aid Concepts and Types](https://www.johnsnowlabs.com/marketplace/indicator-reagent-or-diagnostic-aid-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Indicator Reagent or Diagnostic Aid". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Indicator Reagent or Diagnostic Aid Relationships](https://www.johnsnowlabs.com/marketplace/indicator-reagent-or-diagnostic-aid-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Indicator Reagent or Diagnostic Aid". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Inorganic Chemical Concepts and Types](https://www.johnsnowlabs.com/marketplace/inorganic-chemical-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Inorganic Chemical". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Inorganic Chemical Relationships](https://www.johnsnowlabs.com/marketplace/inorganic-chemical-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Inorganic Chemical". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Manufactured Object Concepts and Types](https://www.johnsnowlabs.com/marketplace/manufactured-object-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Manufactured Object". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Manufactured Object Relationships](https://www.johnsnowlabs.com/marketplace/manufactured-object-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Manufactured Object". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Medical Device Concepts and Types](https://www.johnsnowlabs.com/marketplace/medical-device-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Medical Device". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Medical Device Relationships](https://www.johnsnowlabs.com/marketplace/medical-device-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Medical Device". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Nucleic Acid Nucleoside or Nucleotide Concepts and Types](https://www.johnsnowlabs.com/marketplace/nucleic-acid-nucleoside-or-nucleotide-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Nucleic Acid Nucleoside or Nucleotide". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Nucleic Acid Nucleoside or Nucleotide Relationships](https://www.johnsnowlabs.com/marketplace/nucleic-acid-nucleoside-or-nucleotide-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Nucleic Acid Nucleoside or Nucleotide". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Organic Chemical Concepts and Types](https://www.johnsnowlabs.com/marketplace/organic-chemical-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Organic Chemical". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Organic Chemical Relationships](https://www.johnsnowlabs.com/marketplace/organic-chemical-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Organic Chemical". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Pharmacologic Substance Concepts and Types](https://www.johnsnowlabs.com/marketplace/pharmacologic-substance-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Pharmacologic Substance". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Pharmacologic Substance Relationships](https://www.johnsnowlabs.com/marketplace/pharmacologic-substance-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Pharmacologic Substance". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Receptor Concepts and Types](https://www.johnsnowlabs.com/marketplace/receptor-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Receptor". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Receptor Relationships](https://www.johnsnowlabs.com/marketplace/receptor-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Receptor". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Research Device Concepts and Types](https://www.johnsnowlabs.com/marketplace/research-device-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Research Device". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Research Device Relationships](https://www.johnsnowlabs.com/marketplace/research-device-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Research Device". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Substance Concepts and Types](https://www.johnsnowlabs.com/marketplace/substance-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Substance". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Substance Relationships](https://www.johnsnowlabs.com/marketplace/substance-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Substance". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.
- [Vitamin Concepts and Types](https://www.johnsnowlabs.com/marketplace/vitamin-concepts-and-types)
- This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Vitamin". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.
- [Vitamin Relationships](https://www.johnsnowlabs.com/marketplace/vitamin-relationships)
- This dataset provides the information on relationships between concepts or atoms known to the Metathesaurus for the semantic type "Vitamin". In the dataset, for asymmetrical relationships there is one row for each direction of the relationship.

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