Mock sample for your project: OPTIMADE API
Integrate with "OPTIMADE API" from optimade.local in no time with Mockoon's ready to use mock sample
OPTIMADE API
optimade.local
Version: 1.1.0
Speed up your application development by using "OPTIMADE 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.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
Description
The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.
This specification is generated using optimade-python-tools v0.16.0.
Other APIs in the same category
ESG Rating Data
esgenterprise.com
U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act
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.
Air Rest Services provides multiple service endpoints, each with specific capabilities, to search and retrieve data on facilities regulated under the Clean Air Act (CAA). The returned results reflect data drawn from EPA's ICIS-Air database.
The getfacilities, getmap, getqid, and getdownload end points are meant to be used together, while the enhanced getfacilityinfo end point is self contained.
The getfacilityinfo end point returns either an array of state, county or zip clusters with summary statistics per cluster or an array of facilities.
The recommended use scenario for getfacilities, getqid, getmap, and getdownoad is:
1) Use getfacilities to validate passed query parameters, obtain summary statistics and to obtain a queryid (QID). QIDs are time sensitive and will be valid for approximately 30 minutes.
2) Use get_qid, with the returned QID, to paginate through arrays of facility results.
3) Use get_map, with the returned QID, to zoom in/out and pan on the clustered and individual facility coordinates that meet the QID query criteria.
4) Use get_download, with the returned QID, to generate a Comma Separated Value (CSV) file of facility information that meets the QID query criteria.
Use the qcolumns parameter to customize your search results. Use the Metadata service endpoint for a list of available output objects, their Column Ids, and their definitions to help you build your customized output.
Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads
Air Rest Services provides multiple service endpoints, each with specific capabilities, to search and retrieve data on facilities regulated under the Clean Air Act (CAA). The returned results reflect data drawn from EPA's ICIS-Air database.
The getfacilities, getmap, getqid, and getdownload end points are meant to be used together, while the enhanced getfacilityinfo end point is self contained.
The getfacilityinfo end point returns either an array of state, county or zip clusters with summary statistics per cluster or an array of facilities.
The recommended use scenario for getfacilities, getqid, getmap, and getdownoad is:
1) Use getfacilities to validate passed query parameters, obtain summary statistics and to obtain a queryid (QID). QIDs are time sensitive and will be valid for approximately 30 minutes.
2) Use get_qid, with the returned QID, to paginate through arrays of facility results.
3) Use get_map, with the returned QID, to zoom in/out and pan on the clustered and individual facility coordinates that meet the QID query criteria.
4) Use get_download, with the returned QID, to generate a Comma Separated Value (CSV) file of facility information that meets the QID query criteria.
Use the qcolumns parameter to customize your search results. Use the Metadata service endpoint for a list of available output objects, their Column Ids, and their definitions to help you build your customized output.
Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads
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.
Transport Department, Jharkhand
apisetu.gov.in
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.
Transport Department, Jammu & Kashmir
apisetu.gov.in
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.
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.
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.
Central Board of Secondary Education
apisetu.gov.in
CBSE (http://www.cbse.nic.in/) is issuing marksheets, passing certificates, migration certificates etc. through DigiLocker. These are either pushed, or can be pulled by students into their DigiLocker accounts. Currently available - 2004 - 2020 [Class XII], 2004 - 2020 [Class X], 2017 (NEET Rank Letter & Marksheet), 2016 (NEET Rank Letter), 2018 December (CTET Eligibility Certificate & Marksheet).
Transport Department, Assam
apisetu.gov.in
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.