Mock sample for your project: Vehicle Enquiry API
Integrate with "Vehicle Enquiry API" from api.gov.uk in no time with Mockoon's ready to use mock sample
Vehicle Enquiry API
api.gov.uk
Version: 1.1.0
Start working with "Vehicle Enquiry API" right away by using this ready-to-use mock sample. API mocking can greatly speed up your application development by removing all the tedious tasks or issues: API key provisioning, account creation, unplanned downtime, etc.
It also helps reduce your dependency on third-party APIs and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
Description
Interface specification for the DVLA Vehicle Enquiry API
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CROssBAR Data API
ebi.ac.uk
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 â/proteinsâ 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 â/targetsâ API endpoint to obtain the âtargetchemblidâs of these proteins.
From the collection of targetchemblids collected from step 2 above, we query â/activitiesâ API endpoint with pChEMBL value >=6, to obtain the âmoleculechemblidâs 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 â/drugsâ API endpoint that targets our proteins.
From the collection of âmoleculechemblidâs obtained in step3, we query â/moleculesâ endpoint to get the compounds that are interacting with the genes/proteins belonging to the âWNT ligand biogenesis and traffickingâ pathway.
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 â/proteinsâ 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 â/targetsâ API endpoint to obtain the âtargetchemblidâs of these proteins.
From the collection of targetchemblids collected from step 2 above, we query â/activitiesâ API endpoint with pChEMBL value >=6, to obtain the âmoleculechemblidâs 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 â/drugsâ API endpoint that targets our proteins.
From the collection of âmoleculechemblidâs obtained in step3, we query â/moleculesâ endpoint to get the compounds that are interacting with the genes/proteins belonging to the âWNT ligand biogenesis and traffickingâ pathway.
U.S. EPA Enforcement and Compliance History Online (ECHO) - Effluent Charting and Reporting
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
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.
\
The are 3 service end points for Effluent Charts: getsummarychart, geteffluentchart, and downloadeffluentchart.
\
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