Mock sample for your project: OpenTrials API
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OpenTrials API
opentrials.local
Version: 0.0.1
Integrate third-party APIs faster by using "OpenTrials API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
Improve your integration tests by mocking third-party APIs and cover more edge cases: slow response time, random failures, etc.
Description
Other APIs in the same category
eDistrict Himachal Pradesh, Himachal Pradesh
apisetu.gov.in
eDistrict Himachal (http://edistrict.hp.gov.in/) is the online service delivery portal for Himachal Pradesh State Govt. Certain documents issued by it (e.g. Birth, Income, Caste, Agriculturist, Bonafide Himachali Certificates etc) can be pulled into citizens' DigiLocker accounts.
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.
Aviation Radiation API
amentum.space
Our atmosphere protects us from a hostile space radiation environment comprising high energy particles of solar and intergalactic origin. Solar radiation is significant during unpredictable and short lived solar flares and coronal mass ejections (CMEs); however, galactic cosmic radiation (GCR) is omnipresent. The GCR intensity varies with latitude, longitude, and time due to effects of solar activity on the interplanetary magnetic field, as well as the Earth's magnetic field. Space radiation collides with gases in the atmosphere, leading to a complex shower of high energy radiation, the intensity and composition of which varies spatially and temporally. Excessive exposure to radiation can damage DNA and lead to long-term health effects such as an increased risk of cancer. Resulting radiation levels at commercial aircraft altitudes are greater than at sea level due. Aircrew are classified as radiation workers in some countries; however, planning to limit their exposure, and monitoring, is generally lacking. Both real-time measurements and predictive models of radiation in the atmosphere are important to mitigate the radiation risk crew.
We host a RESTful API to models of cosmic ray induced ionising radiation in the atmosphere. The PARMA or CARI7 endpoints can be used to calculate Effective Dose or Ambient Dose Equivalent at a point.
The Route Dose API calculates the same quantities along a great circle route between two airports using CARI7.
API requests must contain a key "API-Key" in the header (see code samples). Obtain a key from here.
Help us improve the quality of our web APIs by completing our 2 minute survey here.
Amentum Pty Ltd is not responsible nor liable for any loss or damage of any sort incurred as a result of using the API.
Copyright Amentum Pty Ltd 2021.
We host a RESTful API to models of cosmic ray induced ionising radiation in the atmosphere. The PARMA or CARI7 endpoints can be used to calculate Effective Dose or Ambient Dose Equivalent at a point.
The Route Dose API calculates the same quantities along a great circle route between two airports using CARI7.
API requests must contain a key "API-Key" in the header (see code samples). Obtain a key from here.
Help us improve the quality of our web APIs by completing our 2 minute survey here.
Amentum Pty Ltd is not responsible nor liable for any loss or damage of any sort incurred as a result of using the API.
Copyright Amentum Pty Ltd 2021.
Cholamandalam MS General Insurance Company Ltd.
apisetu.gov.in
APIs provided by Cholamandalam MS General Insurance Company Ltd..
CPCT-MAPIT, Madhya Pradesh
apisetu.gov.in
Computer Proficiency Certification Exam (https://cpct.mp.gov.in) is mandatory for data entry/IT Operator/Assistant Grade-3/steno/shorthand/typist and other similar Permanent/Contractual positions in the departments, corporations and agencies in MP. The CPCT Score Card of 2016 can be pulled into citizens' DigiLocker accounts.
eDistrict Andaman & Nicobar Islands, Andaman & Nicobar
apisetu.gov.in
eDistrict Andaman (https://edistrict.andaman.gov.in/) is the online service delivery portal for Andaman & Nicobar Islands. Certain documents issued by it (e.g. Local Certificate,Income Certificate,OBC Certificate,Resident Certificate etc) can be pulled into citizens' DigiLocker accounts.
Jharkhand State Board (Jharkhand Academic Council), Jharkhand
apisetu.gov.in
Jharkhand Academic Council (JAC) is issuing marksheets & passing certificates through DigiLocker. These can be pulled by students into their DigiLocker accounts. Currently available - 2009-2017 [Class XII], 2009-2017 [Class X].
Manav Rachna International Institute of Research & Studies
apisetu.gov.in
Manav Rachna International Institute of Research & Studies, Faridabad (http://manavrachna.edu.in) is issuing Degree certificates through DigiLocker. These can be pulled by students into their DigiLocker accounts. Currently, data for the year 2019 is made available by Manav Rachna International Institute of Research & Studies.
Labour Employment, Skill Development and Entrepreneurship, Mizoram
apisetu.gov.in
APIs provided by Labour Employment, Skill Development and Entrepreneurship, Mizoram.
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
The Oriental Insurance Co. Ltd.
apisetu.gov.in
General Insurance policies such as Motor, Health, Travel, Property, Engineering e.t.c issued by The Oriental Insurance are available to be pulled for citizens of India.