Mock sample for your project: Open States API v3

Certificates issued under Pradhan Mantri Gramin Digital Saksharta Abhiyaan (PMGDISHA) (https://www.pmgdisha.in) scheme enrolled at authorised Training Centres/ CSCs are made available to citizens in their DigiLocker accounts.

This REST-API enables you to query station and stop infos

An API exposing details of the treaties laid before Parliament.

The Buildings Database is a shared resource for the building industry. The Database, developed by the U.S. Department of Energy and the National Renewable Energy Laboratory (NREL), is a unique central repository of in-depth information and data on high-performance, green building projects across the United States and abroad.

The following are the specifications for the APIs to be implemented at the Health Repository end if an entity is only serving the role of a HIP. The specs are essentially duplicates from the Gateway and Health Repository, but put together so as to make it clear to HIPs which set of APIs they should implement to participate in the network.

The Semantic API complements the Articles API. With the Semantic API, you get access to the long list of people, places, organizations and other locations, entities and descriptors that make up the controlled vocabulary used as metadata by The New York Times (sometimes referred to as Times Tags and used for Times Topics pages).
The Semantic API uses concepts which are, by definition, terms in The New York Times controlled vocabulary. Like the way facets are used in the Articles API, concepts are a good way to uncover articles of interest in The New York Times archive, and at the same time, limit the scope and number of those articles. The Semantic API maps to external semantic data resources, in a fashion consistent with the idea of linked data. The Semantic API also provides combination and relationship information to other, similar concepts in The New York Times controlled vocabulary.

With the Movie Reviews API, you can search New York Times movie reviews by keyword and get lists of NYT Critics' Picks.

All about Numbers. REST access with json/xml/jsonp result support. Below is the documentation for the Numbers API. You can try them out right here. Find more information and subscribe at math.tools

This Swagger API console provides an overview of the Europeana Search & Record API. You can build and test anything from the simplest search to a complex query using facetList such as dates, geotags and permissions. For more help and information, head to our comprehensive online documentation.

You can use the CORE API to access the
resources harvested and enriched by CORE. If you encounter any problems with the API, please report them to us.
Overview
The API is organised by resource type. The resources are articles,
journals and repositories and are represented using JSON data format. Furthermore,
each resource has a list of methods. The API also provides two global methods for accessing all resources at once.
Response format
Response for each query contains two fields: status and data.
In case of an error status, the data field is empty. The data field contains a single object
in case the request is for a specific identifier (e.g. CORE ID, CORE repository ID, etc.), or
contains a list of objects, for example for search queries. In case of batch requests, the response
is an array of objects, each of which contains its own status and data fields.
For search queries the response contains an additional field totalHits, which is the
total number of items which match the search criteria.
Search query syntax
Complex search queries can be used in all of the API search methods.
The query can be a simple string or it can be built using terms and operators described in Elasticsearch
documentation.
The usable field names are title, description, fullText,
authors, publisher, repositories.id, repositories.name,
doi, oai, identifiers (which is a list of article identifiers including OAI, URL, etc.), language.name
and year. Some example queries:
title:psychology and language.name:English
repositories.id:86 AND year:2014
identifiers:"oai:aura.abdn.ac.uk:2164/3837" OR identifiers:"oai:aura.abdn.ac.uk:2164/3843"
doi:"10.1186/1471-2458-6-309"
Retrieving the latest Articles
You can retrieve the harvested items since specific dates using the following queries:
repositoryDocument.metadataUpdated:>2017-02-10
repositoryDocument.metadataUpdated:>2017-03-01 AND repositoryDocument.metadataUpdated:
Sort order
For search queries, the results are ordered by relevance score. For batch
requests, the results are retrieved in the order of the requests.
Parameters
The API methods allow different parameters to be passed. Additionally, there is an API key parameter which is common to all API methods. For all API methods
the API key can be provided either as a query parameter or in the request header. If the API key
is not provided, the API will return HTTP 401 error. You can register for an API key here.
API methods

About CROssBAR & data
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
CROssBAR is a comprehensive system that integrates large-scale biomedical data from various resources e.g UniProt, ChEMBL, Drugbank, EFO, HPO, InterPro & PubChem and stores them in a new NoSQL database, enrich these data with deep learning based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to the user via easy to interpret, interactive and heterogeneous knowledge graphs.
CROssBAR platform exposes a set of 12 endpoints to query data stored in the CROssBAR database. These endpoints help the user to find data of interest using different parameters provided by the API endpoint.
For example,
https://www.ebi.ac.uk/tools/crossbar/proteins?accession=A0A023GRW5 -> will provide protein information about accession 'A0A023GRW5' including its interactions, functions, cross-references, variations and more.
https://www.ebi.ac.uk/tools/crossbar/activities?moleculeChemblId=CHEMBL465983 -> will provide ChEMBL bio-interactions related information including targets and bio-activity measurements associated with molecule chembl id 'CHEMBL465983'
Knowledge graphs
Another use case of CROssBAR's API endpoints is in building knowledge graphs. These endpoints can be weaved together (output from one API endpoint fed as input to another API endpoint) programmatically to link nodes like protein, disease, drugs etc. as nodes of the graph. The endpoints are designed to be independent from each other which allows users the flexibility to drive biological networks from any facet e.g drug-centric, disease-centric, gene-centric etc. Our service for knowledge graph construction is available at https://crossbar.kansil.org.
An example for the part of the background queries on the CROssBAR API during the construction of a knowledge graph,
(with the aim of keeping the example simple, we have only included the processes related to pathways, genes/proteins and drugs/compounds)
In this example, we would like to find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome pathway annotations).
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome annotations)
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Get all proteins from “/proteins” API endpoint which have a reactome pathway name equal to "WNT ligand biogenesis and trafficking".
From the collection of uniprot protein accessions collected from step 1 above, we query “/targets” API endpoint to obtain the ‘targetchemblid’s of these proteins.
From the collection of targetchemblids collected from step 2 above, we query “/activities” API endpoint with pChEMBL value >=6, to obtain the ’moleculechemblid’s of the molecules that we need.
From the collection of uniprot protein accessions collected from step 1 above, we find out Drug names and ids from the “/drugs” API endpoint that targets our proteins.
From the collection of ’moleculechemblid’s obtained in step3, we query “/molecules” endpoint to get the compounds that are interacting with the genes/proteins belonging to the “WNT ligand biogenesis and trafficking” pathway.