Mock sample for your project: SchoolDigger API V1
Integrate with "SchoolDigger API V1" from schooldigger.com in no time with Mockoon's ready to use mock sample
SchoolDigger API V1
schooldigger.com
Version: v1
Speed up your application development by using "SchoolDigger API V1" 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
Get detailed data on over 120,000 schools and 18,500 districts in the U.S.
Other APIs in the same category
Stationsdatenbereitstellung
deutschebahn.com
An API providing master data for German railway stations by DB Station&Service AG.
Cholamandalam MS General Insurance Company Ltd.
apisetu.gov.in
APIs provided by Cholamandalam MS General Insurance Company Ltd..
eDistrict Chandigarh, Chandigarh
apisetu.gov.in
eDistrict Chandigarh(http://chdservices.gov.in/) is the online service delivery portal for Chandigarh Administration. Certain documents issued by it (e.g. Senior Citizen Identity Card) can be pulled into citizens' DigiLocker accounts.
PGIMER, Chandigarh
apisetu.gov.in
The Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh provides patient's clinical laboratory reports to DigiLocker.
Department of Labour, Govt of Punjab, Punjab
apisetu.gov.in
APIs provided by Department of Labour, Govt of Punjab, Punjab.
WeGA API
weber-gesamtausgabe.de
The OpenAPI documentation for the RESTful interface of the Carl-Maria-von-Weber-Gesamtausgabe. (No registration, authentication, or API key is required) For feedback or requests about this API please contact [email protected] or start the discussion at https://github.com/Edirom/WeGA-WebApp
U.S. EPA Enforcement and Compliance History Online (ECHO) - Detailed Facility Report (DFR)
epa.gov
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.
DFR Rest Services provide multiple service endpoints, to retrieve detailed facility location, enforcement, compliance monitoring, and pollutant information for any single facility. See the Detailed Facility Report (DFR) Help Page (https://echo.epa.gov/help/reports/detailed-facility-report-help) for additional information on the DFR. Additionally, a Data Dictionary (https://echo.epa.gov/help/reports/dfr-data-dictionary) is also available.
There is one primary service end point, get_dfr, that provides all available DFR data. All other service end points that are exposed, will return data on a single section of the DFR.
\
Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads
DFR Rest Services provide multiple service endpoints, to retrieve detailed facility location, enforcement, compliance monitoring, and pollutant information for any single facility. See the Detailed Facility Report (DFR) Help Page (https://echo.epa.gov/help/reports/detailed-facility-report-help) for additional information on the DFR. Additionally, a Data Dictionary (https://echo.epa.gov/help/reports/dfr-data-dictionary) is also available.
There is one primary service end point, get_dfr, that provides all available DFR data. All other service end points that are exposed, will return data on a single section of the DFR.
\
Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads
Joint Entrance Examination Council, Uttar Pradesh, Uttar Pradesh
apisetu.gov.in
Joint Entrance Examination Council (https://jeecup.nic.in) is providing digital Admit Cards for 2018 entrance examination of Diploma courses in the Polytechnics / Institutes affiliated to Board Of Technical Education, U.P.
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, Uttar Pradesh
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.