Mock sample for your project: BikeWise API v2

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.

A free & open API for FIGI discovery.

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.
ECHO Rest Services provide multiple service endpoints, each with specific capabilities, to search and retrieve data on facilities regulated as Clean Air Act (CAA) stationary sources, Clean Water Act (CWA) dischargers, Resource Conservation and Recovery Act (RCRA) hazardous waste generators/handlers, and Safe Drinking Water Act (SDWA) public water systems. Data of interest from other EPA sources, such as the Toxics Release Inventory, is also supplied for context.
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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.
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The recommended use scenario for getfacilities, getqid, getmap, and getdownoad is:
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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.
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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.
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Additional ECHO Resources: Web Services, About ECHO's Data, Data Downloads

Last Modified: Thu Oct 29 12:30:46 PDT 2020
All endpoints are only accessible via HTTPS.
All API endpoints are located at https://platform.climate.com (e.g.
https://platform.climate.com/v4/fields).
The authorization token endpoint is located at
https://api.climate.com/api/oauth/token.
Troubleshooting
X-Http-Request-Id response header will be returned on every call,
successful or not. If you experience an issue with our api and need
to contact technical support, please supply the value of the X-Http-Request-Id
header along with an approximate time of when the request was made.
Request Limits
When you’re onboarded to Climate’s API platform, your x-api-key is assigned a custom usage plan. Usage plans are unique to each partner and have the following key attributes:
Throttling information
burstLimit: Maximum rate limit over a period ranging from 1 second to a few seconds
rateLimit: A steady-state rate limit
Quota information
Limit: The maximum number of requests that can be made in a given month
When the request rate threshold is exceeded, a 429 response code is returned. Optionally, the Retry-After header may be returned:
Following are examples of rate limit errors:
Rate limit exceeded:
HTTP/1.1 429
Content-Type: application/json
Content-Length: 32
{"message":"Too Many Requests"}
Quota exhausted:
HTTP/1.1 429
Content-Type: application/json
Content-Length: 29
{"message":"Limit Exceeded"}
Pagination
Pagination is performed via headers. Any request which returns a "results"
array may be paginated. The following figure shows how query results are laid out with
X-Limit=4 and no filter applied.
If there are no results, a response code of 304 will be returned.
If the response is the last set of results, a response code of 200 or
206 will be returned.
If there are more results, a response code of 206 will be returned.
If X-Next-Token is provided in the request headers but the token has
expired, a response code of 409 will be returned. This is only applicable
for some endpoints; see specific endpoint documentation below.
X-Limit
The page size can be controlled with the X-Limit header. Valid values are
1-100 and defaults to 100.
X-Next-Token
If the results are paginated, a response header of X-Next-Token will be
returned. Use the associated value in the subsequent request (via the X-Next-Token
request header) to retrieve the next page. The following sequence diagram shows how to
use X-Next-Token to fetch all the records.
Chunked Uploads
Uploads larger than 5MiB (5242880 bytes) must be done in 5MiB chunks
(with the exception of the final chunk). Each chunk request MUST contain a
Content-Range header specifying the portion of the upload, and a Content-Type
header specifying binary content type (application/octet-stream). Range
uploads must be contiguous. The maximum upload size is capped at 500MiB (524288000 bytes).
Chunked Downloads
Downloads larger than 5MiB (5242880 bytes) must be done in 1-5MiB
chunks (with the exception of the final chunk, which may be less than 1MiB).
Each chunk request MUST contain a Range header specifying the requested portion of the download,
and an Accept header specifying binary and json content types (application/octet-stream,application/json)
or all content types (/).
Drivers
If you need drivers to process agronomic data, download the ADAPT plugin below. We only support the plugin in the Windows environment, minimum is Windows 7 SP1.
For asPlanted, asHarvested and asApplied data:
ADAPT Plugin
Release notes can be found here.
Download and use of the ADAPT plugin means that you agree to the EULA for use of the ADAPT plugin.
Please review the EULA (last updated on June 6th, 2019) before download and use of the ADAPT plugin.
For more information, please refer to:
ADAPT Resources
ADAPT Overview
ADAPT FAQ
ADAPT Videos
Sample Test Data
Sample agronomic data:
asPlanted and asHarvested data
asApplied data set 1
asApplied data set 2
To upload the sample data to your account, please follow the instructions in this link.
Sample soil data:
Sample soil data

Figshare apiv2. Using Swagger 2.0

Government Medical College and Hospital (GMCH), Chandigarh provides patient's clinical laboratory reports to DigiLocker.

Geetanjali University, Udaipur (http://www.geetanjaliuniversity.com/) is issuing Degree certificates through DigiLocker. These can be pulled by students into their DigiLocker accounts. Currently, data for the year 2016 is made available by Geetanjali University.

Veer Surendra Sai University Of Technology, Odisha (http://vssut.ac.in) is issuing Degree certificates through DigiLocker. These can be pulled by students into their DigiLocker accounts. Currently, data for the year's 2014-2019 is made available by Veer Surendra Sai University Of Technology.

eDistrict Odisha (http://edistrictodisha.gov.in/) is the online service delivery portal for Odisha State Govt. Certain documents issued by it (e.g. Income, Caste, Residence Certificates etc) are made available in citizens' DigiLocker accounts.

Board of High School and Intermediate Education, Rajasthan (http://rajeduboard.rajasthan.gov.in/) has made available Class X (2018-2019)& Class XII (2019) mark sheet available on DigiLocker, which can be pulled by students into their respective accounts

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.