Mock sample for your project: Open States API v3

Degree certificates issued by AIIMS Rishikesh in year 2018 can be pulled by students into their DigiLocker accounts

OPA provides policy-based control for cloud native environments. The following endpoints (such as PUT /v1/policies) provide reference documentation for the OPA REST API.
API specification viewing options
View the specification in Redoc (default)
View the specification in Swagger UI

Driving License (DL) and Vehicle Registration Certificate (RC) of the State, as available on Parivahan Sewa (http://parivahan.co.in/) of Ministry of Road Transport and Highways, are available on DigiLocker. Citizens can pull these documents into their DigiLocker accounts.

Enforcement and Compliance History Online (ECHO) is a tool developed and maintained by EPA's Office of Enforcement and Compliance Assurance for public use.
ECHO provides integrated compliance and enforcement information for over 1 million regulated facilities nationwide.
EFF Rest Services provides the data for ECHO's Effluent Charts, a set of dynamic charts and tables of permitted effluent limits, releases, and violations over time for Clean Water Act (CWA) wastewater discharge permits issued under the National Pollutant Discharge Elimination System (NPDES).
See Effluent Charts Help (https://echo.epa.gov/help/reports/effluent-charts-help) for additional information.
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The are 3 service end points for Effluent Charts: getsummarychart, geteffluentchart, and downloadeffluentchart.
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1) Use getsummarychart to retrieve a summary matrix of effluent parameters by effluent outfall and an overall violation status for a provided NPDES Permit and date range.
2) Use geteffluentchart to retrieve detailed Discharge Limit, DMR and NPDES Violation information for a provided NPDES Permit, date range, effluent parameter, or outfall.
3) Use downloadeffluentchart to generate a Comma Separated Value (CSV) file of the detailed data provided with get_effluent chart, for a provided NPDES Permit, date range, effluent parameter, or outfall.
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Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads

An API providing master data for German railway stations by DB Station&Service AG.

An API collection for Covid 19 by Crediwatch

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.

Mtaa A simple REST API to access Tanzania's location information,With mtaa API you can easily query and integrate all the location in tanzania from region level to streets from your programming language of your your choice

A simple and elegant way to explore cancer data

This API represents address cleaning, correction, completion, geocoding, reverse geocoding, and proximity resources for intersection addresses, physical addresses and their occupants in British Columbia. Please read our data collection notice.
Please note that you may experience issues when submitting requests to the delivery or test environment if using this OpenAPI specification in other API console viewers.
Developer API keys are unique and can be acquired with a GitHub account. Production government applications may use organization API keys acquired by contacting DataBC. API keys are further described in the Developer guide.
Notification: If you have applications or web pages that link to the BC Address Geocoder you must use the following URL.
https://geocoder.api.gov.bc.ca
Please note that the following URLs were deprecated in September 2018 More Details.
http://apps.gov.bc.ca/pub/geocoder
https://apps.gov.bc.ca/pub/geocoder
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This endpoint structures the APOD imagery and associated metadata so that it can be repurposed for other applications. In addition, if the concept_tags parameter is set to True, then keywords derived from the image explanation are returned. These keywords could be used as auto-generated hashtags for twitter or instagram feeds; but generally help with discoverability of relevant imagery