[ { "id": "1", "name": "APOD", "summary": "Astronomy Picture of the Day", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

APOD

One of the most popular websites at NASA is the Astronomy Picture of the Day. In fact, this website is one of the most popular websites across all federal agencies. It has the popular appeal of a Justin Bieber video. This endpoint structures the APOD imagery and associated metadata so that it can be repurposed for other applications.

As of September 10, 2026 this API has been migrated to use the new WordPress API
The full documentation for the legacy API can be found in the APOD API Github repository
The documentation for the new API can be found here: APOD WordPress
The legacy APOD API will be taken offline December 1, 2026. You will need to migrate by then.

Example image:

HTTP Request

GET https://science.nasa.gov/wp-json/wp/v2/apod-basic

concept_tags, hd, and thumbs are now disabled in this service.

Query Parameters

Parameter Type Default Description
date YYYY-MM-DD today The date of the APOD image to retrieve
start_date YYYY-MM-DD none The start of a date range, when requesting date for a range of dates. Cannot be used with date.
end_date YYYY-MM-DD today The end of the date range, when used with start_date.
count int none If this is specified then count randomly chosen images will be returned. Cannot be used with date or start_date and end_date. Cannot exceed 25.
api_key string DEMO_KEY api.nasa.gov key for expanded usage

Example query

https://science.nasa.gov/wp-json/wp/v2/apod-basic/?api_key=DEMO_KEY

Example response

{
\"date\": \"2026-09-11\",
\"post_id\": 1308668,
\"title\": \"M83: The Southern Pinwheel\",
\"permalink\": \"https://science.nasa.gov/image-article/apod-2026-september-11-m83-the-southern-pinwheel/\",
\"media_type\": \"image\",
\"explanation\": \"Detailed Explanation\",
\"credit\": \"Aldo Zanetti\",
\"copyright\": \"Aldo Zanetti\",
\"alt\": \"A spiral galaxy is shown in front of a dark field of stars.\",
\"url\": \"https://science.nasa.gov/image-article/apod-2026-september-11-m83-the-southern-pinwheel/\",
\"hdurl\": \"https://assets.science.nasa.gov/dynamicimage/assets/science/cds/apod/apod/2026/september/M83_Final2_1x.jpg?w=3828&h=3798&fit=clip&crop=faces%2Cfocalpoint\",
\"basic_html\": \"HTML of the page\",
\"basic_html_url\": \"https://science.nasa.gov/wp-json/wp/v2/apod-basic/260911/html\"
}

", "configurations": { "overview": { "poc_name": "", "poc_email": "", "api_name": "", "backend_protocol": "", "server": "", "frontend_host": "", "backend_host": "", "matching_url_prefixes": [ { "frontend_prefix": "", "backend_prefix": "" } ] }, "global_request_settings": { "append_query_string_parameters": "", "set_request_headers": "", "http_basic_authentication": "", "https_requirements": "", "api_key_checks": "", "api_key_verification_requirements": "", "required_roles": "", "rate_limit": "", "default_response_headers": "", "override_response_headers": "" }, "sub_url_request_settings": [ { "http_method": "", "regex": "", "https_requirements": "", "api_key_checks": "", "api_key_verification_requirements": "", "required_roles": "", "override_required_roles_from_global_request_settings": "", "rate_limit": "", "default_response_headers": "", "override_response_headers": "" } ], "advanced_requests_rewriting": [ { "matcher_type": "", "http_method": "", "frontend_matcher": "", "backend_replacement": "" } ], "advanced_settings": { "balance_algorithm": "", "json_template": "", "xml_template": "", "csv_template": "", "common_all_errors": "", "api_key_missing": "", "api_key_invalid": "", "api_key_disabled": "", "api_key_unauthorized": "", "over_rate_limit": "", "https_required": "" } }, "swagger_data": { "swagger": "2.0", "info": { "description": "This endpoint structures the APOD imagery and associated metadata so that it can be repurposed for other applications. In addition, if the concept_tags parameter is set to True, then keywords derived from the image explanation are returned. These keywords could be used as auto-generated hashtags for twitter or instagram feeds; but generally help with discoverability of relevant imagery", "version": "1.0.0", "title": "APOD", "termsOfService": "", "contact": { "email": "evan.t.yates@nasa.gov" }, "license": { "name": "Apache 2.0", "url": "http://www.apache.org/licenses/LICENSE-2.0.html" } }, "host": "api.nasa.gov", "basePath": "/planetary", "tags": [ { "name": "request tag", "description": "An example tag", "externalDocs": { "description": "Here's a link", "url": "https://example.com" } } ], "schemes": [ "https", "http" ], "paths": { "/apod": { "get": { "tags": [ "request tag" ], "summary": "Returns images", "descriptions": "Returns the picture of the day", "produces": [ "application/json" ], "security": [ { "api_key": [] } ], "parameters": [ { "name": "date", "in": "query", "description": "The date of the APOD image to retrieve", "required": false, "type": "string", "schema": "date" }, { "name": "hd", "in": "query", "description": "Retrieve the URL for the high resolution image", "required": false, "type": "boolean" } ], "responses": { "200": { "description": "successful operation", "schema": { "type": "array", "items": { "thing": "ok" } } }, "400": { "description": "Date must be between Jun 16, 1995 and Mar 28, 2019." } } } } }, "securityDefinitions": { "api_key": { "type": "apiKey", "name": "api_key", "in": "query" } } } }, { "id": "1", "name": "Asteroids NeoWs", "summary": "Near Earth Object Web Service", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

Asteroids - NeoWs

NeoWs (Near Earth Object Web Service) is a RESTful web service for near earth Asteroid information. With NeoWs a user can: search for Asteroids based on their closest approach date to Earth, lookup a specific Asteroid with its NASA JPL small body id, as well as browse the overall data-set.

Data-set: All the data is from the NASA JPL Asteroid team (http://neo.jpl.nasa.gov/).

This API is maintained by SpaceRocks Team: David Greenfield, Arezu Sarvestani, Jason English and Peter Baunach.

Neo - Feed

Retrieve a list of Asteroids based on their closest approach date to Earth. GET https://api.nasa.gov/neo/rest/v1/feed?start_date=START_DATE&end_date=END_DATE&api_key=API_KEY

Query Parameters

Parameter Type Default Description
start_dateYYYY-MM-DDnoneStarting date for asteroid search
end_dateYYYY-MM-DD7 days after start_dateEnding date for asteroid search
api_keystringDEMO_KEYapi.nasa.gov key for expanded usage

Example query

https://api.nasa.gov/neo/rest/v1/feed?start_date=2015-09-07&end_date=2015-09-08&api_key=DEMO_KEY

Neo - Lookup

Lookup a specific Asteroid based on its NASA JPL small body (SPK-ID) ID GET https://api.nasa.gov/neo/rest/v1/neo/

Path Parameters

Parameter Type Default Description
asteroid_id int none Asteroid SPK-ID correlates to the NASA JPL small body
api_keystringDEMO_KEYapi.nasa.gov key for expanded usage

Example query

https://api.nasa.gov/neo/rest/v1/neo/3542519?api_key=DEMO_KEY

Neo - Browse

Browse the overall Asteroid data-set GET https://api.nasa.gov/neo/rest/v1/neo/browse/

Example query

https://api.nasa.gov/neo/rest/v1/neo/browse?api_key=DEMO_KEY

" }, { "id": "1", "name": "DONKI", "summary": "Space Weather Database Of Notifications, Knowledge, Information", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

DONKI

The Space Weather Database Of Notifications, Knowledge, Information (DONKI) is a comprehensive on-line tool for space weather forecasters, scientists, and the general space science community. DONKI chronicles the daily interpretations of space weather observations, analysis, models, forecasts, and notifications provided by the Space Weather Research Center (SWRC), comprehensive knowledge-base search functionality to support anomaly resolution and space science research, intelligent linkages, relationships, cause-and-effects between space weather activities and comprehensive webservice API access to information stored in DONKI.

This API consists of the following component services:

API Example
Coronal Mass Ejection (CME) https://api.nasa.gov/DONKI/CME?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
Coronal Mass Ejection (CME) Analysis https://api.nasa.gov/DONKI/CMEAnalysis?startDate=2016-09-01&endDate=2016-09-30&mostAccurateOnly=true&speed=500&halfAngle=30&catalog=ALL&api_key=DEMO_KEY
Geomagnetic Storm (GST) https://api.nasa.gov/DONKI/GST?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
Interplanetary Shock (IPS) https://api.nasa.gov/DONKI/IPS?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&location=LOCATION&catalog=CATALOG&api_key=DEMO_KEY
Solar Flare (FLR) https://api.nasa.gov/DONKI/FLR?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
Solar Energetic Particle (SEP) https://api.nasa.gov/DONKI/SEP?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
Magnetopause Crossing (MPC) https://api.nasa.gov/DONKI/MPC?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
Radiation Belt Enhancement (RBE) https://api.nasa.gov/DONKI/RBE?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
Hight Speed Stream (HSS) https://api.nasa.gov/DONKI/HSS?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY
WSA+EnlilSimulation https://api.nasa.gov/DONKI/WSAEnlilSimulations?startDate=2016-01-06&endDate=2016-01-06&api_key=DEMO_KEY
Notifications https://api.nasa.gov/DONKI/notifications?startDate=2014-05-01&endDate=2014-05-08&type=all&api_key=DEMO_KEY

Coronal Mass Ejection (CME)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/CME?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

Coronal Mass Ejection (CME) Analysis

startDate: default 30 days prior to current UTC time
endDate: default to current UTC time
mostAccurateOnly: default is set to true
completeEntryOnly: default is set to true
speed (lower limit): default is set to 0
halfAngle (lower limit): default is set to 0
catalog: default is set to ALL (choices: ALL, SWRC_CATALOG, JANG_ET_AL_CATALOG)
keyword: default is set to NONE (example choices: swpc_annex)

Example:
https://api.nasa.gov/DONKI/CMEAnalysis?startDate=2016-09-01&endDate=2016-09-30&mostAccurateOnly=true&speed=500&halfAngle=30&catalog=ALL&api_key=DEMO_KEY

Geomagnetic Storm (GST)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/GST?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

Interplanetary Shock (IPS)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date
location: default to ALL (choices: Earth, MESSENGER, STEREO A, STEREO B)
catalog: default to ALL (choices: SWRC_CATALOG, WINSLOW_MESSENGER_ICME_CATALOG)

Example:
https://api.nasa.gov/DONKI/IPS?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&location=LOCATION&catalog=CATALOG&api_key=DEMO_KEY

Solar Flare (FLR)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/FLR?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

Solar Energetic Particle (SEP)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/SEP?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

Magnetopause Crossing (MPC)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/MPC?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

Radiation Belt Enhancement (RBE)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/RBE?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

Hight Speed Stream (HSS)

startDate: default to 30 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/HSS?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd&api_key=DEMO_KEY

WSA+EnlilSimulation

startDate: default to 7 days prior to current UTC date
endDate: default to current UTC date

Example:
https://api.nasa.gov/DONKI/WSAEnlilSimulations?startDate=2011-09-19&endDate=2011-09-20&api_key=DEMO_KEY

Notifications

parameters:
'startDate' and 'endDate' are in format 'yyyy-MM-dd' UT
'type' could be: all, FLR, SEP, CME, IPS, MPC, GST, RBE, report

Note:
'startDate' if left out would default to 7 days prior to the current UT date
'endDate' if left out would default to current UT date
'type' if left out would default to 'all'
The request date range is limit to 30 days. If the request range is greater than 30 days, it would limit your request range to (endDate-30) to endDate.

Example:
https://api.nasa.gov/DONKI/notifications?startDate=2014-05-01&endDate=2014-05-08&type=all&api_key=DEMO_KEY

" }, { "id": "1", "name": "EONET", "summary": "The Earth Observatory Natural Event Tracker", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

EONET

More and more NASA imagery is being made available via web services (WMS, WMTS, etc.) and a significant percentage of it is being produced and published in near real time (NRT=within a few hours after acquisition). This ability means that NASA imagery can be used more routinely to examine current natural events as they happen.

Using client applications, such as NASA EOSDIS’ Worldview, users can browse the entire globe daily and look for natural events as they occur. Storms are regularly spotted in the tropics, dust storms over deserts, forest fires in the summers. These events are occurring constantly and NASA NRT imagery can represent them all using a variety of different data parameters. However, the user’s experience is tailored, and therefore restricted, by the client application. What if there was an API that provided a curated list of natural events and provided a way to link those events to event-related NRT image layers? Enter EONET.

The Earth Observatory Natural Event Tracker (EONET) is a prototype web service with the goal of:

providing a curated source of continuously updated natural event metadata; providing a service that links those natural events to thematically-related web service-enabled image sources (e.g., via WMS, WMTS, etc.). Please see our API documentation to learn more about how to use the EONET web services.

Development of EONET began in 2015 and has been supported by NASA’s Earth Observatory and Earth Science Data and Information System (ESDIS) Project.

" }, { "id": "1", "name": "EPIC", "summary": "Earth Polychromatic Imaging Camera", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

EPIC

The EPIC API provides information on the daily imagery collected by DSCOVR's Earth Polychromatic Imaging Camera (EPIC) instrument. Uniquely positioned at the Earth-Sun Lagrange point, EPIC provides full disc imagery of the Earth and captures unique perspectives of certain astronomical events such as lunar transits using a 2048x2048 pixel CCD (Charge Coupled Device) detector coupled to a 30-cm aperture Cassegrain telescope.

Image metadata and key information are provided by the JSON API and can be requested by date and for the most recent available date. A listing of all available dates can also be retrieved via the API for more granular control.

Development of the EPIC API began in 2015, and is supported by the web development team for the Laboratory for Atmospheres in the Earth Sciences Division of the Goddard Space Flight Center. More information regarding the API and retrieval of the imagery for download can be found on the EPIC website.

Retrievable Metadata

The following information is available for every image in the collection:


Example image:

Querying by Date(s)

Parameter Type Default Description
naturalstringMost Recent Natural ColorMetadata on the most recent date of natural color imagery.
natural/dateYYYY-MM-DDMost Recent AvailableMetadata for natural color imagery available for a given date.
natural/allstringDates for Natural ColorA listing of all dates with available natural color imagery.
natural/availablestringDates for Natural ColorAlternate listing of all dates with available natural color imagery.
enhancedstringMost Recent Enhanced ColorMetadata on the most recent date of enhanced color imagery.
enhanced/dateYYYY-MM-DDMost Recent AvailableMetadata for enhanced color imagery for a given date.
enhanced/allstringDates for Enhanced ImageryA listing of all dates with available enhanced color imagery.
enhanced/availablestringDates for Enhanced ImageryAlternate listing of all dates with available enhanced color imagery.
api_keystringDEMO_KEYAPI key from api.nasa.gov for expanded usage.

Example queries

https://api.nasa.gov/EPIC/api/natural/images?api_key=DEMO_KEY
https://api.nasa.gov/EPIC/api/natural/date/2019-05-30?api_key=DEMO_KEY
https://api.nasa.gov/EPIC/api/natural/all?api_key=DEMO_KEY
https://api.nasa.gov/EPIC/archive/natural/2019/05/30/png/epic_1b_20190530011359.png?api_key=DEMO_KEY

More examples and usage tips can be found on the EPIC API Documentation Page.

 

" }, { "id": "1", "name": "Exoplanet", "summary": "Programmatic access to NASA's Exoplanet Archive database", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

Exoplanet Archive

Introduction

The Exoplanet Archive API allows programatic access to NASA's Exoplanet Archive database. This API contains a ton of options so to get started please visit this page for introductory materials. To see what data is available in this API visit here and also be sure to check out best-practices and troubleshooting in case you get stuck. Happy planet hunting!

Example Queries

Example API URL
Confirmed planets in the Kepler field https://exoplanetarchive.ipac.caltech.edu/cgi-bin/nstedAPI/nph-nstedAPI?&table=exoplanets&format=ipac&where=pl_kepflag=1
Confirmed planets that transit their host stars https://exoplanetarchive.ipac.caltech.edu/cgi-bin/nstedAPI/nph-nstedAPI?&table=exoplanets&format=ipac&where=pl_tranflag=1
180 and koi_teq<303 and koi_disposition like 'CANDIDATE'\">All planetary candidates smaller than 2Re with equilibrium temperatures between 180-303K180 and koi_teq<303 and koi_disposition like 'CANDIDATE'\">https://exoplanetarchive.ipac.caltech.edu/cgi-bin/nstedAPI/nph-nstedAPI?table=cumulative&where=koi_prad<2 and koi_teq>180 and koi_teq<303 and koi_disposition like 'CANDIDATE'

More examples here.

" }, { "id": "1", "name": "GIBS", "summary": "Standardized web services that deliver global, full-resolution satellite imagery, enabling interactive exploration of Earth.", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

Global Imagery Browse Services (GIBS)

NASA's Global Imagery Browse Services (GIBS) are designed to deliver global, full-resolution satellite imagery to users in a highly responsive manner, enabling visual discovery of scientific phenomena, supporting timely decision-making for natural hazards, educating the next generation of scientists, and making imagery of the planet more accessible to the media and public. GIBS provides quick access to over 1,000 satellite imagery products, covering every part of the world. Most imagery is updated daily - available within a few hours after satellite observation, and some products span almost 30 years. The satellite imagery can be rendered in your own web client or GIS application. Browse these visualizations through our Worldview application, and see the Worldview Image of the Week archive to learn how these visualizations can be used. GIBS and Worldview are part of the Earth Science Data Systems Program which provides open access to NASA’s archive of Earth science data.

GIBS provides access through four mechanisms:

Imagery is provided in several map projections:

Access to GIBS via the protocols above is explained in the links below. In addition, source code for the GIBS tiled imagery server and tiled imagery storage format is also available.

Sample visualizations:

Global Suomi NPP / VIIRS Corrected Reflectance from 2024 March 16

Harmonized Landsat Sentinel-2 Reflectance of Dubai, UAE from 2023 November 27

US Nighttime lights imagery from NOAA-20 / VIIRS Black Marble, 2025 June 22

Precipitation from Tropical Cyclone Jasper on 2023 December 13

" }, { "id": "1", "name": "Insight", "summary": "Mars Weather Service API", "html_template": "

InSight: Mars Weather Service API

(Last Updated: 3/30/2021)

THIS SERVICE HAS SIGNIFICANT MISSING DATA DUE TO INSIGHT NEEDING TO MANAGE POWER USE:Please check out the seasonal weather report plot for an illustration of missing data and read this article about how dust and distance from the sun affect Insight's power situation.

NASA’s InSight Mars lander takes continuous weather measurements (temperature, wind, pressure) on the surface of Mars at Elysium Planitia, a flat, smooth plain near Mars’ equator. Please note that there are sometimes problems with the sensors on Mars that result in missing data! If you see a long gap, a search result may bring up more information on whether it is a long-lasting problem. Summaries of these data are available at https://mars.nasa.gov/insight/weather/.

This API provides per-Sol summary data for each of the last seven available Sols (Martian Days). As more data from a particular Sol are downlinked from the spacecraft (sometimes several days later), these values are recalculated, and consequently may change as more data are received on Earth. Additionally, please note that wind and other sensor data may not exist for certain date ranges. You can check out https://mars.nasa.gov/insight/weather/ and scroll down to the 'seasonal weather report' you'll see the gaps where no data exists for some sensors.

Example image:

This API is maintained and provided by NASA Jet Propulsion Laboratory and Cornell University. If you find bugs in this API, please use the contact form found at https://mars.nasa.gov/feedback/. The rate limit for this API is every hour no more than 2000 hits for each individual IP.

Defining the Data

The summary data are provided as an object in a JSON stream, a formal definition of JSON is RFC 7159. Appendix A contains an abridged, typical JSON stream for this API as an example.

HTTP Request

GET https://api.nasa.gov/insight_weather/?api_key=DEMO_KEY&feedtype=json&ver=1.0

Query Parameters

ParameterTypeDefaultDescription
versionfloat1.0The version of this API
feedtypestringjsonThe format of what is returned. Currently the default is JSON and only JSON works.
api_keystringDEMO_KEYapi.data.gov key for expanded usage

Example query

https://api.nasa.gov/insight_weather/?api_key=DEMO_KEY&feedtype=json&ver=1.0

This document describes the API in more detail.
This self-contained HTML document is an example that draws a wind rose using InSight Wind Direction frequency distribution data, which data are part of the JSON object returned by this API.

Here is something like what that wind rose looks like:

" }, { "id": "1", "name": "NASA Image and Video Library", "summary": "API to access the NASA Image and Video Library site at images.nasa.gov", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

NASA Image and Video Library

Use this API to access the NASA Image and Video Library site at images.nasa.gov. For the latest documentation, please go here.

The images.nasa.gov API is organized around REST, has predictable/resource\u00AD-oriented URLs and uses HTTP response codes to indicate API errors. This API uses built-\u00ADin HTTP features such as HTTP authentication and HTTP verbs, which are understood by many off-\u00ADthe-\u00ADshelf HTTP clients. Please note that JSON is returned by all API responses, including errors. Each of the endpoints described below also contains example snippets which use the curl command\u00AD-line tool, Unix pipelines, and the python command\u00AD-line tool to output API responses in an easy\u00AD to \u00ADread format.

Available Endpoints

The images API contains 4 endpoints GET https://images-api.nasa.gov

Endpoints

Endpoint Description
GET /search?q={q} Performing a search
GET /asset/{nasa_id} Retrieving a media asset’s manifest
GET /metadata/{nasa_id} Retrieving a media asset’s metadata location
GET /captions/{nasa_id} Retrieving a video asset’s captions location

For complete usage information and detailed examples, please visit the NASA Image and Video Library API documentation.

" }, { "id": "1", "name": "Open Science Data Repository", "summary": "Programmatic interface for the Open Science Data Repository website", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template":"

Open Science Data Repository Public API

NASA OSDR provides a RESTful Application Programming Interface (API) to its full-text search, data file retrieval, and metadata retrieval capabilities. The API provides a choice of standard web output formats, either JavaScript Object Notation (JSON) or Hyper Text Markup Language (HTML), of query results. The Data File API returns metadata on data files associated with dataset(s), including the location of these files for download via https. The Metadata API returns entire sets of metadata for input study dataset accession numbers. The Search API can be used to search dataset metadata by keywords and/or metadata. It can also be used to provide search of three other omics databases: the National Institutes of Health (NIH) / National Center for Biotechnology Information's (NCBI) Gene Expression Omnibus (GEO); the European Bioinformatics Institute's (EBI) Proteomics Identification (PRIDE); the Argonne National Laboratory's (ANL) Metagenomics Rapid Annotations using Subsystems Technology (MG-RAST).

In addition to study datasets, NASA OSDR also hosts metadata for 7 other data types: experiments, payloads, subjects, biospecimens, missions, vehicles, and hardware. The API for these data types is listed separately and uniform throughout, to make for easy metadata exploration.

Study

Study Data File API

Syntax

https://osdr.nasa.gov/osdr/data/osd/files/{OSD_STUDY_IDs}/?page={CURRENT_PAGE_NUMBER}&size={RESULTS_PER_PAGE}?all_files={ALL_FILES}

Returns: JSON-formatted response

Parameters

Data Type

Notes

Values

Required

{OSD_STUDY_IDs}

Integer or Decimal

Comma separated list with mixture of single OSD accession numbers and ranges. Use single decimal numbers to indicate a specific study version (Ex: 4.1 would be OSD-4, version 1).

ex. 87-95,137,153.2

Yes

{CURRENT_PAGE_NUMBER}

Integer

Current page number in pagination

Starts from 0

No

{RESULTS_PER_PAGE}

Integer

Number of results returned per page in pagination

Max 25 results per page

No

{ALL_FILES}

Boolean

Include hidden files. true to include invisible files; false to exclude. Default value is false.

true or false

No

 

Example requests:

Note:

The study_files element in the JSON response has the remote_url attribute, which can be used to obtain the specific download URL for the file by prefacing with the OSDR data server address, https://osdr.nasa.gov . In the example query/response below, the first study file for OSD-87 (version 1) study in the response below can be downloaded from https://osdr.nasa.gov/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_metadata_Zanello_STS135-ISA.zip

Example Requests:

Single Study Request:

Example: https://osdr.nasa.gov/osdr/data/osd/files/87.1

Response:
{
\"hits\": 1,
\"input\": \"87.1\",
\"page_number\": 1,
\"page_size\": 25,
\"page_total\": 1,
\"studies\": {
\"OSD-87\": {
\"file_count\": 7,
\"study_files\": [
{
\"category\": \"Study Metadata Files\",
\"date_created\": 1516434676.433,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_metadata_Zanello_STS135-ISA.zip\",
\"file_size\": 4809,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_metadata_Zanello_STS135-ISA.zip\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
\"
category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_14R_(Mouse430_2).CEL.gz\",
\"file_size\": 6374949,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_14R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
\"category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_16R_(Mouse430_2).CEL.gz\",
\"file_size\": 6274393,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_16R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
\"category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_20R_(Mouse430_2).CEL.gz\",
\"file_size\": 6384622,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_20R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
\"category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_52R_(Mouse430_2).CEL.gz\",
\"file_size\": 6297226,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_52R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
\"category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_54R_(Mouse430_2).CEL.gz\",
\"file_size\": 6017124,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_54R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
\"category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_58R_(Mouse430_2).CEL.gz\",
\"file_size\": 6329707,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_58R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
]
}
},
\"success\": true,
\"total_hits\": 1,
\"valid_input\": [\"87\"]
}
Multiple Study Data Files Request:

Example: https://osdr.nasa.gov/osdr/data/osd/files/137.1,86-87

Response:
{
\"hits\": 3,
\"input\": \"137.1,86-87\",
\"page_number\": 1,
\"page_size\": 25,
\"page_total\": 1,
\"studies\": {
\"OSD-137\": {
\"file_count\": 39,
\"study_files\": [
{
\"category\": \"RNA-Seq Data\",
\"date_created\": 1506033836.839,
\"date_updated\": \"\",
\"file_name\": \"GLDS-137_transcriptomics_RR3-BSL-B1.tar.gz\",
\"file_size\": 14879922202,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-137/download?source=datamanager&file=GLDS-137_transcriptomics_RR3-BSL-B1.tar.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
{
\"category\": \"RNA-Seq Data\",
\"date_created\": 1506033836.839,
\"date_updated\": \"\",
\"file_name\": \"GLDS-137_transcriptomics_RR3-BSL-B2.tar.gz\",
\"file_size\": 15103810246,
\"organization\": \"genelab\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
...
{
\"category\": \"Whole Genome Bisulfite Sequencing Data\",
\"date_created\": 1524338323.849,
\"date_updated\": \"\",
\"file_name\": \"GLDS-137_epigenomics_RR3-GC-G7-LVR.tar\",
\"file_size\": 109839032320,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-137/download?source=datamanager&file=GLDS-137_epigenomics_RR3-GC-G7-LVR.tar\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
{
\"category\": \"Whole Genome Bisulfite Sequencing Data\",
\"date_created\": 1523353758.212,
\"date_updated\": \"\",
\"file_name\": \"GLDS-137_epigenomics_RR3-BSL-B1-LVR.tar\",
\"file_size\": 73434449920,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-137/download?source=datamanager&file=GLDS-137_epigenomics_RR3-BSL-B1-LVR.tar\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
]
},
\"OSD-86\": {
\"file_count\": 17,
\"study_files\": [
{
\"category\": \"Study Metadata Files\",
\"date_created\": 1600242553.708,
\"date_updated\": 1600242553.708,
\"file_name\": \"GLDS-86_metadata_GSE65477-v1-ISA.zip\",
\"file_size\": 4904,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-86/download?source=datamanager&file=GLDS-86_metadata_GSE65477-v1-ISA.zip\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
{
\"category\": \"Whole Genome Bisulfite Sequencing Data\",
\"date_created\": 1506033835.554,
\"date_updated\": \"\",
\"file_name\": \"GLDS-86_epigenomics_SRR1781971_1.fastq.gz\",
\"file_size\": 1438278406,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-86/download?source=datamanager&file=GLDS-86_epigenomics_SRR1781971_1.fastq.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
...
{
\"category\": \"Whole Genome Bisulfite Sequencing Data\",
\"date_created\": 1506033835.554,
\"date_updated\": \"\",
\"file_name\": \"GLDS-86_epigenomics_SRR1781978_1.fastq.gz\",
\"file_size\": 3892512382,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-86/download?source=datamanager&file=GLDS-86_epigenomics_SRR1781978_1.fastq.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
{
\"category\": \"Whole Genome Bisulfite Sequencing Data\",
\"date_created\": 1506033835.554,
\"date_updated\": \"\",
\"file_name\": \"GLDS-86_epigenomics_SRR1781978_2.fastq.gz\",
\"file_size\": 3851398439,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-86/download?source=datamanager&file=GLDS-86_epigenomics_SRR1781978_2.fastq.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
}
]
},
\"OSD-87\": {
\"file_count\": 29,
\"study_files\": [
{
\"category\": \"Study Metadata Files\",
\"date_created\": 1601509296.578,
\"date_updated\": 1601509296.578,
\"file_name\": \"GLDS-87_metadata_Zanello_STS135-ISA.zip\",
\"file_size\": 6504,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_metadata_Zanello_STS135-ISA.zip\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
{
\"category\": \"Microarray Data Files\",
\"date_created\": 1506033834.109,
\"date_updated\": \"\",
\"file_name\": \"GLDS-87_microarray_14R_(Mouse430_2).CEL.gz\",
\"file_size\": 6374949,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_microarray_14R_(Mouse430_2).CEL.gz\",
\"restricted\": false,
\"subcategory\": \"\",
\"subdirectory\": \"\",
\"visible\": true
},
...
{
\"category\": \"GeneLab Processed Microarray Data Files\",
\"date_created\": 1582096720.619,
\"date_updated\": 1582096720.619,
\"file_name\": \"GLDS-87_array_Mmus_C57-6CR_RTN_FLT_Rep3_58R_raw.CEL.gz\",
\"file_size\": 6413259,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_array_Mmus_C57-6CR_RTN_FLT_Rep3_58R_raw.CEL.gz\",
\"restricted\": false,
\"subcategory\": \"Raw Data\",
\"subdirectory\": \"\",
\"visible\": true
},
{
\"category\": \"GeneLab Processed Microarray Data Files\",
\"date_created\": 1582096720.185,
\"date_updated\": 1582096720.185,
\"file_name\": \"GLDS-87_array_Mmus_C57-6CR_RTN_FLT_Rep2_54R_raw.CEL.gz\",
\"file_size\": 6083294,
\"organization\": \"genelab\",
\"remote_url\": \"/geode-py/ws/studies/OSD-87/download?source=datamanager&file=GLDS-87_array_Mmus_C57-6CR_RTN_FLT_Rep2_54R_raw.CEL.gz\",
\"restricted\": false,
\"subcategory\": \"Raw Data\",
\"subdirectory\": \"\",
\"visible\": true
}
]
}
},
\"success\": true,
\"total_hits\": 3,
\"valid_input\": [\"137\", \"86\", \"87\"]
}

Study Metadata API

Syntax

https://osdr.nasa.gov/osdr/data/osd/meta/{OSD_STUDY_ID}

Parameters

Data Type

Notes

Values

Required

{OSD_STUDY_ID}

Integer

Single study accession number

Example: 87

Yes

Single Study Metadata Request:

Example: https://osdr.nasa.gov/osdr/data/osd/meta/137

Returns: JSON-formatted response

Response:

Note to save space some information has been ommitted with ellipsis (...)

{
\"hits\": 1,
\"input\": \"137\",
\"study\": {
\"OSD-137\": {
\"additionalInformation\": {
\"assays\": {
\"a_OSD-137_dna-methylation-profiling_whole-genome-bisulfite-sequencing_illumina-txt\": {
\"header\": [...],
\"raw\": [...],
\"table\": [...]
},
\"a_OSD-137_molecular-cellular-imaging_microscopy_pannoramic scan (3d histech)-txt\": {...},
\"a_OSD-137_protein-expression-profiling_mass-spectrometry-txt\": {...},
\"a_OSD-137_transcription-profiling_rna-sequencing-(rna-seq)-txt\": {...}
},
\"description\": {
\"assays\": [...],
\"factors\": [...]
},
\"ontologies\": {...},
\"organisms\": {
\"links\": {
\"musmusculus\": \"<a target=\\\"_blank\\\" href=\\\"http://purl.bioontology.org/ontology/NCBITAXON/10090\\\" title=\\\"mouse <Mus musculus>\\\" source=\\\"NCBITAXON\\\">Mus musculus </a>\\\"
},
\"ontologies\": {
\"musmusculus\": {...}
}
},
\"samples\": {...}
},
\"comments\": [],
\"ontologySourceReferences\": [...],
\"people\": [],
\"publications\": [],
\"studies\": [
{
\"assays\": [...],
\"characteristicCategories\": [...],
\"comments\": [
{
\"name\": \"Acknowledgments\",
\"value\": \"Funding for sample processing and sequencing was provided to the GeneLab project by the NASA Space Biology Program Office, Space Life and Physical Sciences Research and Applications Division. Samples from the RR-3 experiment were provided to GeneLab through the Biospecimen Sharing Plan of the NASA Life Sciences Data Archive. We would like to acknowledge the NASA Biospecimen Sharing Program (BSP) for their expertise and efforts in coordinating and collecting all the samples in this study.\"
},
{ \"name\": \"DOI\", \"value\": \"10.26030/9k6w-4c28\" },
{ \"name\": \"Data Source Accession\", \"value\": \"\" },
{ \"name\": \"Data Source Link\", \"value\": \"\" },
{ \"name\": \"Experiment Platform\", \"value\": \"Rodent Habitat\" },
{ \"name\": \"Flight Program\", \"value\": \"International Space Station (ISS)\" },
{
\"name\": \"Funding\",
\"value\": \"This investigation was funded by the ISS National Lab, the NASA Space Biology Program Office, Space Life and Physical Sciences Research and Applications Division and additional funding from the International Space Station Research Integration Office to the Space Biology GeneLab Project\"
},
{ \"name\": \"Identifiers\", \"value\": \"\" },
{ \"name\": \"Managing NASA Center\", \"value\": \"Ames Research Center (ARC)\" },
{ \"name\": \"Mission End\", \"value\": \"05/11/2016\" },
{ \"name\": \"Mission Link\", \"value\": \"https://osdr.nasa.gov/bio/repo/data/missions/SpaceX-8\" },
{ \"name\": \"Mission Name\", \"value\": \"SpaceX-8\" },
{ \"name\": \"Mission Start\", \"value\": \"04/08/2016\" },
{ \"name\": \"Project Identifier\", \"value\": \"RR-3\" },
{ \"name\": \"Project Link\", \"value\": \"https://lsda.jsc.nasa.gov/Experiment/exper/13961\" },
{ \"name\": \"Project Title\", \"value\": \"Rodent Research 3 (RR3)\" },
{ \"name\": \"Project Type\", \"value\": \"Spaceflight Study\" },
{ \"name\": \"Space Program\", \"value\": \"NASA\" },
{ \"name\": \"Study Grant Number\", \"value\": \"\" }
],
\"description\": \"The Rodent Research-3 (RR-3) mission was sponsored by the pharmaceutical company Eli Lilly and Co. and the Center for the Advancement of Science in Space to study the effectiveness of a potential countermeasure for the loss of muscle and bone mass that occurs during spaceflight. Twenty BALB/c, 12-weeks old female mice (ten controls and ten treated) were flown to the ISS and housed in the Rodent Habitat for 39-42 days. Twenty mice of similar age, sex and strain were used for ground controls housed in identical hardware and matching ISS environmental conditions. Basal controls were housed in standard vivarium cages. Spaceflight, ground controls and basal groups had blood collected, then were euthanized, had one hind limb removed, and finally whole carcasses were stored at -80 C until dissection. All mice in this data set received only the control/sham injection.\",
\"factors\": [...],
\"identifier\": \"OSD-137\",
\"materials\": {...},
\"people\": [...],
\"processSequence\": [...],
\"protocols\": [...],
\"publicReleaseDate\": \"28-Aug-2017\",
\"publications\": [
{
\"authorList\": \"Beheshti A, Chakravarty K, Fogle H, Fazelinia H, Silveira WAD, Boyko V, Lai Polo S, Saravia-Butler AM, Hardiman G, Taylor D, Galazka JM, Costes SV\",
\"comments\": [],
\"doi\": \"10.1038/s41598-019-55869-2\",
\"pubMedID\": \"31844325\",
\"status\": {
\"@id\": \"LmdAvi3HYaAIgsfwpY1sWHGrDR5sHm3luQJDg1Ay\",
\"annotationValue\": \"published\",
\"comments\": [],
\"termAccession\": \"http://www.ebi.ac.uk/efo/EFO_0001796\",
\"termSource\": \"EFO\"
},
\"title\": \"Multi-omics analysis of multiple missions to space reveal a theme of lipid dysregulation in mouse liver\"
}
],
\"studyDesignDescriptors\": [...],
\"submissionDate\": \"04-Aug-2017\",
\"title\": \"Rodent Research-3-CASIS: Mouse liver transcriptomic, proteomic, epigenomic and histology data\",
\"unitCategories\": [...]
}
],
\"version\": 8
}
},
\"success\": true
}

Study Dataset Search API

Syntax 1 (returns JSON response)

https://osdr.nasa.gov/osdr/data/search?<PARAMETER-LIST>

parameters

definition

values

term

search keyword

string

from

starting page

integer (single value)

size

search result display count

integer (single value)

type

datasource

cgene , nih_geo, ebi_pride, mg_rast (accepts multiple value separated by comma separated)

sort

sort field

string (Field Name)

order

sort order

ASC - ascending order; DESC - descending order

ffield

filter field

string (should always be pared with fvalue); append .raw to the end of the field to use the exact match index; see table below for possible filter field values and example filter value pairings

fvalue

filter value

string (should always be pared with ffield)

 

Filter Field (Case Sensitive)

Example Filter Value

Accession

OSD-4

Acknowledgments

NASA JPL

Authoritative Source URL

OSD-4

Data Source Accession

GSE18388

Data Source Type

cgene

Experiment Platform

Animal Enclosure Module

Flight Program

Shuttle

links

GPL13112

Managing NASA Center

Ames Research Center

Material Type

thymus

organism

Mus musculus

Project Identifier

NNA04CC97G

Project Link

https://taskbook.nasaprs.com/tbp/index.cfm?action=public_query_taskbook_content&TASKID=7191

Project Title

Vector-Averaged Gravity

Project Type

Spaceflight

Space Program

NASA

Study Assay Measurement Type

transcription profiling

Study Assay Technology Platform

Affymetrix

Study Assay Technology Type

DNA microarray

Study Description

Murine Thymus Tissue

Study Factor Name

Spaceflight

Study Factor Type

Space Flight

Study Funding Agency

NNA04CC97G

Study Identifier

OSD-4

Study Protocol Description

thymus tissue

Study Protocol Name

sample collection

Study Protocol Type

sample collection

Study Public Release Date

1268179200

Study Publication Author List

Gruener R

Study Publication Title

spaceflown murine thymus tissue

Study Title

Space-flown Murine Thymus Tissue

 

POST and GET requests accept the URL encoded name/value pairs for submission

Examples:

Syntax 2 (returns HTML response):

Format: https://osdr.nasa.gov/bio/repo/search?q=<SEARCH-TERMS>&data_source=<DATA-SOURCE>

Parameters

Values

Usage

SEARCH-TERMS

text

Any text to search for, can be augmented by the keywords:

  • AND - ALL search terms must be present (default boolean search)
  • OR - ANY of your search terms can be present
  • NOT - exclude words from your search

If no conjunctive or disjunctive operator specified, the default is \"AND\"

DATA-SOURCE

cgene, nih_geo_gse, ebi_pride, mg_rast

  • cgene - Search authoritative data records in NASA Open Science Data Repository
  • nih_geo_gse - Search authoritative data records in NIH Gene Expression Omnibus database
  • ebi_pride - Search authoritative data records in the European Bioinformatics Institute Proteomics Identification database
  • mg_rast - Search authoritative data records in the Metagenomic Rapid Annotations using Subsystems Technology database

 

Examples:

Experiments, Missions, Payloads, Hardware, Vehicles, Subjects, Biospecimens

Format:

Experiments, Missions, Payloads, Hardware, Vehicles, Subjects, and Biospecimens follow the same API format. The \"All\" call returns a list of all objects within that data type, while the \"Single\" call returns an expanded version of a specific object. The endpoint for any single object can be selected from the \"All\" call. Some objects may include links to other objects within the API, such as a vehicle within a mission.

Examples:

Single Mission Call

https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-12

Response
{
\"id\": \"6375b4f7313d542fb5edacaf\",
\"identifier\": \"SpaceX-12\",
\"identifierLowercase\": \"spacex-12\",
\"esID\": \"XeBryYQB28eYt3lGVyVN\",
\"aliases\": [\"SpX-12\", \"Increment 52/53\", \"CRS-12\"],
\"startDate\": \"08/14/2017\",
\"endDate\": \"09/17/2017\",
\"files\": [],
\"vehicle\": { \"vehicle\": \"https://osdr.nasa.gov/geode-py/ws/api/vehicle/Dragon\" },
\"people\": [
{
\"institution\": \"Wake Forest School of Medicine\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda5c1\",
\"firstName\": \"Jeffrey\",
\"middleName\": \"Scott\",
\"lastName\": \"Willey\",
\"emailAddress\": \"jwilley@wakehealth.edu\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"879a7f5eb83f436e88fbeeca1638899b\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"University of Florida\",
\"roles\": [\"Co-Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda5eb\",
\"firstName\": \"Brad\",
\"middleName\": \"\",
\"lastName\": \"Behnke\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"03fe55c410f54473b2df5e46ae8995ff\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"Texas A&M University\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda5ec\",
\"firstName\": \"David\",
\"middleName\": \"\",
\"lastName\": \"Zawieja\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"c871ffcaa74341f69d069174d1474819\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"NASA Ames Research Center (ARC)\",
\"roles\": [\"Mission Integration and Operations Lead\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda5a7\",
\"firstName\": \"Cecilia\",
\"middleName\": \"L.\",
\"lastName\": \"Wigley\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"3011b2d648f54325bd510f5766cd74ca\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"NASA Ames Research Center (ARC)\",
\"roles\": [\"Biospecimen Sharing Program (BSP) Lead\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda65a\",
\"firstName\": \"Rebecca\",
\"middleName\": \"\",
\"lastName\": \"Klotz\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"8c880d8fe6474be1b6ab98a476fe144a\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"NASA Ames Research Center (ARC)\",
\"roles\": [\"Mission Scientist\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda64d\",
\"firstName\": \"Sungshin\",
\"middleName\": \"\",
\"lastName\": \"Choi\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"16374e18c88049bbbbaf90c88b63f809\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"Florida State University\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda65e\",
\"firstName\": \"Michael\",
\"middleName\": \"\",
\"lastName\": \"Delp\",
\"emailAddress\": \"mdelp@fsu.edu\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"a681490bdca94c79b98d5fd0a1c79962\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"Loma LInda University\",
\"roles\": [\"Co-Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda5be\",
\"firstName\": \"Xiao Wen\",
\"middleName\": \"\",
\"lastName\": \"Mao\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"67df63fd7964413a9c61155b596e2a87\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"NASA Ames Research Center (ARC)\",
\"roles\": [\"ARC Project Manager\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda669\",
\"firstName\": \"Janet\",
\"middleName\": \"\",
\"lastName\": \"Beegle\",
\"emailAddress\": \"\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"113febbfd77a4dab8313cc07d09a6c24\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"RIKEN Center for Integrative Medical Sciences\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda679\",
\"firstName\": \"Hiroshi\",
\"middleName\": \"\",
\"lastName\": \"Ohno\",
\"emailAddress\": \"\",
\"phone\": \"+81-(0)45-503-9121\",
\"versionInfo\": { \"documentKey\": \"03f15300b175436eafa1ed58e7754205\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"Florida Gulf Coast University\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda684\",
\"firstName\": \"Sherri\",
\"middleName\": \"\",
\"lastName\": \"Emer\",
\"emailAddress\": \"semer@fgcu.edu\",
\"phone\": \"239-745-4247\",
\"versionInfo\": { \"documentKey\": \"a29f49cba0a5470e951d79962835d020\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"Brock University\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda698\",
\"firstName\": \"Val\",
\"middleName\": \"Andrew\",
\"lastName\": \"Fajardo\",
\"emailAddress\": \"vfajardo@brocku.ca\",
\"phone\": \"905-688-5550 ext. 4769\",
\"versionInfo\": { \"documentKey\": \"7e64497572ba4b7683b5d578a9d03a34\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"University of Texas Rio Grande Valley\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda6ae\",
\"firstName\": \"Upal\",
\"middleName\": \"\",
\"lastName\": \"Roy\",
\"emailAddress\": \"upal.roy@utrgv.edu\",
\"phone\": \"\",
\"versionInfo\": { \"documentKey\": \"e14bc4fa65f74bb0b217d9176c9a03b5\", \"version\": 1, \"deleted\": false }
}
},
{
\"institution\": \"Indiana University School of Dentistry\",
\"roles\": [\"Principal Investigator\"],
\"person\": {
\"id\": \"6375b4f6313d542fb5eda6af\",
\"firstName\": \"Simone\",
\"middleName\": \"\",
\"lastName\": \"Duarte\",
\"emailAddress\": \"siduarte@iu.edu\",
\"phone\": \"585-330-6159\",
\"versionInfo\": { \"documentKey\": \"c7a1f810f291422f9a44ef94bf4f9885\", \"version\": 1, \"deleted\": false }
}
}
],
\"versionInfo\": { \"documentKey\": \"989cb8bb2add48f68fe7ec4e761704c6\", \"version\": 1, \"deleted\": false },
\"parents\": {
\"payload\": [
{ \"payload\": \"https://osdr.nasa.gov/geode-py/ws/api/payload/RR-9\" },
{ \"payload\": \"https://osdr.nasa.gov/geode-py/ws/api/payload/MHU-2\" },
{ \"payload\": \"https://osdr.nasa.gov/geode-py/ws/api/payload/RR-9_BSP\" },
{ \"payload\": \"https://osdr.nasa.gov/geode-py/ws/api/payload/BRIC-22\" }
],
\"experiment\": [{ \"experiment\": \"https://osdr.nasa.gov/geode-py/ws/api/experiment/OS-140\" }],
\"GLDS_Study\": [
{ \"GLDS_Study\": \"https://osdr.nasa.gov/osdr/data/osd/meta/OSD-488\" },
{ \"GLDS_Study\": \"https://osdr.nasa.gov/osdr/data/osd/meta/OSD-660\" },
{ \"GLDS_Study\": \"https://osdr.nasa.gov/osdr/data/osd/meta/OSD-654\" },
{ \"GLDS_Study\": \"https://osdr.nasa.gov/osdr/data/osd/meta/OSD-663\" },
{ \"GLDS_Study\": \"https://osdr.nasa.gov/osdr/data/osd/meta/OSD-662\" },
{ \"GLDS_Study\": \"https://osdr.nasa.gov/osdr/data/osd/meta/OSD-321\" }
]
}
}

Single Vehicle Call

From the above example, we can see a vehicle endpoint which directs us to the vehicle linked to SpaceX-12.

https://osdr.nasa.gov/geode-py/ws/api/vehicle/Dragon

Response
{
\"id\": \"6375b4f8313d542fb5edbdfb\",
\"identifier\": \"Dragon\",
\"identifierLowercase\": \"dragon\",
\"esID\": \"_uBzyYQB28eYt3lGm4k7\",
\"files\": [
{
\"id\": \"6375b4f6313d542fb5edab7e\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR01/EnvironmentalMonitoring_Rearranged/ISS_ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 1 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\nIncluded in this series:\\n1. A single file that combines the ISS cabin and ISSES chamber data. \\\"SP\\\" values are the set point from the ISS cabin near the rodent habitats and \\\"PV\\\" values are actual conditions in the simulation chambers. Data readings are every 5 minutes from 9/20/14 to just before midnight on 10/31/2014. (cabin_ISSES_ch4_RR1.xlsx)\\n- Parameters:\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nCarbon dioxide (parts per million)\\nThe status (On or Off) of Lights 1-3\\n2. Raw and consolidated data files from two sensors on the International Space Station that were estimated to be nearest the rodent habitats in the lab module. Ambient temperature was collected for duration of the mission. (cabin_ISS_sto_Lab)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edab80\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR01/EnvironmentalMonitoring_Rearranged/VehicleData_SpX04_RR-1_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 1 mission data collection contains environmental, acoustics, vibrations, and acceleration data that pertain to the SpaceX CRS-21 Dragon cargo vehicle during ascent as it carried the Rodent Research payload to the International Space Station. \\nThis dataset includes raw and reduced acceleration, carbon dioxide, oxygen, temperature, relative humidity, and pressure data for the pressurized cargo cabin environment; graphed acoustics and vibration data from the post flight report; a reference key for the raw data; a sensor location diagram for the Dragon capsule; and a cargo environments instrumentation plan for the Dragon capsule and Falcon 9 launch vehicle. \\nParameters\\nDragon cabin pressure (psia)\\nPartial pressure of oxygen and carbon dioxide (psia)\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nBody accelerations (m/s^2)\\nAcoustics (decibels / hertz)\\nVibrations (PSD (g^2Hz) / Hz)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edab8e\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR02/EnvironmentalMonitoring/VehicleData_SpX6_RR02_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 2 mission data collection contains environmental monitoring, acceleration, acoustics, and vibration data for the experiment while it was carried aboard the SpaceX-6 Dragon spacecraft.\\nThe SpaceX6_Data directory contains datasets collected from the Dragon spacecraft. Included within are Dragon sensor locations and temperature and humidity data collected from loggers within the flight and ground transporters (SN 209 and SN 210). \\nThe SpX-6_LaunchData, SpX-6_ProcessedFlightData and SpX-6_ReturnData subdirectories include sensor readings of environmental conditions in the cabin of the spacecraft (i.e. relative humidity, pressure, temperature, carbon dioxide, and oxygen concentration), as well as cabin acceleration, acoustic noise levels, and vibration loads during launch and ascent.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edab93\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR03/EnvironmentalMonitoring/ISS_ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 3 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\n- Parameters: \\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nCarbon dioxide (parts per million)\\nISS Cabin Only: partial oxygen pressure raw and plotted data. Raw data are in one second intervals\\n\\\"SP\\\" values are the set point from the ISS cabin near the rodent habitats and \\\"PV\\\" values are actual conditions in the simulation chambers.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabad\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR09/EnvironmentalMonitoring/VehicleData_SpaceX12_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 9 mission data collection contains environmental, acoustics, vibrations, and acceleration data that pertain to the SpaceX CRS-12 Dragon vehicle as it carried the Rodent Research payload to the International Space Station and back down to Earth. \\nThe following raw acceleration and pressurized cargo environment data are included (CSV):\\n- A reference document for the data collection\\n- For ascent: Dragon body acceleration (m/s^2) values\\n- For ascent and descent: cabin pressure (psia), temperature readings from cabin air and duct sensors (degrees Celsius), relative humidity readings from cabin air and duct sensors (percent RH), partial pressure of carbon dioxide (psia), and partial pressure of oxygen (psia)\\nThe following summarized data are included (PDF):\\nA SpaceX post flight report entitled \\\"Dragon 1-14 (CRS-12) Final Report (Revision 1.0, November 8, 2017)\\\" has summarized data plots for the cargo hold temperature, relative humidity, partial pressure of oxygen and carbon dioxide throughout the mission as well as graphs for pressurized cargo vibration for ascent, acoustics for ascent and return, and cargo shock environments on reentry.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabb0\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR01/eclss_sensorlocations_dragon.pdf\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This document provides a diagram showing environmental monitoring sensor locations in the SpaceX CRS Dragon cabin and the corresponding headers in the data files. The diagram was provided by SpaceX for Rodent Research 1 and the data headers for temperature and pressure values subsequently changed. This document provides a crosswalk for later data files.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabb4\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR04/EnvironmentalMonitoring/VehicleData_SpaceX10_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 4 mission data collection contains environmental and acceleration data pertaining to the SpaceX CRS-10 Dragon vehicle as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nThe following parameters are included for ascent and return:\\nDragon cabin pressure (psia)\\nBody accelerations (m/s^2)\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nPartial pressure of oxygen and carbon dioxide (psia)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabb5\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR05/EnvironmentalMonitoring/VehicleData_SpaceX11_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 5 mission data collection contains environmental, acoustics, vibrations, and acceleration data pertaining to the SpaceX CRS-11 Dragon vehicle as it carried the Rodent Research payload to the International Space Station and back down to Earth.\u00a0\\nThe following raw data are included for ascent and return:\\n - Dragon cabin pressure (psia)\\n - Body accelerations (m/s^2)\\n - Temperature (degrees Celsius)\\n - Relative humidity (percentage)\\n - Partial pressure of oxygen and carbon dioxide (psia)\\nThe following plotted data are included: \\n - Vibrations (ascent)\\n - Acoustics (launch and reentry)\\n - Cabin environment (entire mission): Pressure, relative humidity, temperature, partial pressure (oxygen and carbon dioxide)\\nDate ranges:\\nAscent: June 3-9, 2017\\nReturn: July 1-3, 2017\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabb6\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR03/EnvironmentalMonitoring/VehicleData_SpaceX8_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 3 mission data collection contains environmental and acceleration data pertaining to the SpaceX CRS-8 Dragon vehicle as it carried the Rodent Research payload to the International Space Station.\\nThe following parameters are included for ascent:\\nDragon cabin pressure (psia)\\nBody accelerations (m/s^2)\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nPartial pressure of oxygen and carbon dioxide (psia)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabba\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR06/EnvironmentalMonitoring/VehicleData_SpaceX13-14_RR06_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of\u00a0the Rodent Research 6 mission data collection contains environmental and acceleration data that pertain to the SpaceX CRS-13 Dragon spacecraft as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nThe following parameters are included for ascent and return:\\nDragon cabin pressure (psia)\\nBody accelerations (m/s^2)\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nPartial pressure of oxygen and carbon dioxide (psia)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabd1\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR08/EnvironmentalMonitoring/VehicleData_SpaceX16_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of\u00a0the Rodent Research 8 mission data collection contains environmental and acceleration data that pertain to the SpaceX CRS-16 Dragon spacecraft as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nDragon cabin pressure (psia)\\nBody accelerations (m/s^2)\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nPartial pressure of oxygen and carbon dioxide (psia)\\nDate range of materials:\\nDecember 4-9, 2018 (Ascent)\\nJanuary 13-14, 2019 (Return)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabde\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR07/EnvironmentalMonitoring/VehicleData_SpaceX15_RR07_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 7 mission data collection contains environmental, acoustics, vibrations, and acceleration data that pertain to the SpaceX CRS-15 Dragon vehicle as it carried the Rodent Research payload to the International Space Station.\\nThe following raw data are included for ascent (XLSX):\\n- Dragon body acceleration (m/s^2)\\n- Pressurized cabin: pressure (psia), temperature readings from cabin air and duct sensors (degrees Celsius), relative humidity readings from cabin air and duct sensors (percent RH), partial pressure of carbon dioxide (psia), and partial pressure of oxygen (psia). 35 readings per second.\\nThe following summarized data are included in excerpts from the post flight report procuded by SpaceX (PDF/PPTX):\\n- Dragon acoustics and random vibrations (plotted).\\n(Note: The PDF and PPTX formats contain the same post flight report. The PPTX file was retained so that users can enlarge individual charts)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabdf\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR017/EnvironmentalMonitoring/VehicleData_SpX18_RR17_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of\u00a0the Rodent Research 17 mission data collection contains vehicle cabin environment and acceleration data for the SpaceX CRS-18 Dragon spacecraft as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nThe following raw data are included:\\n- Dragon capsule body acceleration (m/s^2)\\n- Dragon cabin environment, including temperature (degrees Celsius), relative humidity (percentage), pressure (psia), and partial pressure of oxygen and carbon dioxide (psia)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabe5\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR019/EnvironmentalMonitoring/VehicleData_SpX19_RR19_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 19 mission data collection contains vehicle cabin environment and acceleration data for the SpaceX CRS-19 Dragon spacecraft as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nDate range is 12/3/2019 - 1/7/2020 (GMT 337 2019 - 007 2020)\\n Late load:12/3-5, 2019\\n Ascent: 12/5-8, 2019\\n Berthed: 12/8-12, 2019\\n Return: 1/5-7, 2020\\nThe following raw data are included for ascent and return: \\nChannel 1 - Cabin air temperature (degrees Celsius)\\nChannel 2 - Relative humidity (percentage)\\nChannel 3 - Cabin pressure (psia)\\nChannel 4 - Partial pressure of oxygen (psia)\\nChannel 5 - Partial pressure of carbon dioxide (psia)\\nChannel 6 - Dragon body acceleration (m/s^2)\\nIncluded are the original dataset with UNIX timestamps and a copy dataset with the UNIX timestamps converted to GMT. The former is expressed to fractions of a second and the latter is in whole seconds.\\nUNIX Date and Time conversion formula provided by SpaceX: \\n- =(TIME/86400+DATE(1970,1,1)) and format as time\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabf7\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR010/EnvironmentalMonitoring/VehicleData_SpX21_RR10_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 10 mission data collection contains atmospheric and acceleration data for the SpaceX CRS-21 Dragon vehicle as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nAscent date range: December 6-7, 2020 (DOY 341-342)\\nReturn date range: January 12-14, 2021 (DOY 012-014)\\nThe following raw acceleration and pressurized cargo environment data are included (CSV).\\nFor ascent and return: Dragon body acceleration (m/s^2), cabin pressure (psia), temperature readings from cabin air and duct sensors (degrees Celsius), relative humidity readings from cabin air and duct sensors (percent RH), partial pressure of carbon dioxide (psia), and partial pressure of oxygen (psia); summary graphs of all parameters.\\nA reference document defining the parameters was not provided.\\nSummarized Datasets\\nGraphed data relating to Dragon pressurized cargo cabin environmental conditions are included for these parameters: temperature, relative humidity, partial pressure of oxygen and carbon dioxide, pressure, acoustics, and vibrations. The data are extracted from a SpaceX report entitled \\\"Dragon CRS-21 Post-Mission Data Review: Mission Management/Cargo.\\\" Date ranges span from late load on December 4, 2020 through return on January 14, 2021. \\nFor most, the data graphs are presented in the context of required limits. Specifics include: \\n- Late load install through launch, December 4-7, 2020: Dragon cabin temperature, relative humidity, partial pressure of oxygen, partial pressure of carbon dioxide, and cabin pressure.\\n- Launch through docking with ISS, undated: Dragon cabin temperature, humidity, and pressure\\n- Expected trends throughout mission, undated: Partial pressure of oxygen and carbon dioxide\\n- Ascent random vibrations\\n- Ascent and reentry acoustics\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edabf8\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR023/EnvironmentalMonitoring/VehicleData_SpX21_RR23_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 23 mission data collection contains atmospheric and acceleration data for the SpaceX CRS-21 Dragon vehicle as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\nAscent date range: December 6-7, 2020 (DOY 341-342)\\nReturn date range: January 12-14, 2021 (DOY 012-014)\\n\\nThe following raw acceleration and pressurized cargo environment data are included for ascent and return (CSV): \\nDragon body acceleration (m/s^2), cabin pressure (psia), temperature readings from cabin air and duct sensors (degrees Celsius), relative humidity readings from cabin air and duct sensors (percent RH), partial pressure of carbon dioxide (psia), and partial pressure of oxygen (psia); summary graphs of all parameters.\\nSummarized Datasets\\nGraphed data relating to Dragon pressurized cargo cabin environmental conditions are included for these parameters: temperature, relative humidity, partial pressure of oxygen and carbon dioxide, pressure, acoustics, and vibrations. The data are extracted from a SpaceX report entitled \\\"Dragon CRS-21 Post-Mission Data Review: Mission Management/Cargo.\\\" Date ranges span from late load on December 4, 2020 through return on January 14, 2021.\\nFor most, the data graphs are presented in the context of required limits. Specifics include: \\n- Late load install through launch, December 4-7, 2020: Dragon cabin temperature, relative humidity, partial pressure of oxygen, partial pressure of carbon dioxide, and cabin pressure.\\n- Launch through docking with ISS, undated: Dragon cabin temperature, humidity, and pressure\\n- Expected trends throughout mission, undated: Partial pressure of oxygen and carbon dioxide\\n- Ascent random vibrations\\n- Ascent and reentry acoustics\\nUnits of measure used:\\nTemperature, degrees Celsius\\nRelative humidity, percentage \\nPressure, pounds per square inch absolute\\nPartial pressure of oxygen, pounds per square inch absolute\\nPartial pressure of carbon dioxide, millimeters of mercury\\nRandom vibrations, power spectral density g^2/Hz\\nAcoustics, sound pressure level (decibels relative to reference value ref20E-6 Pa)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac08\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR018/EnvironmentalMonitoring/VehicleData_SpX24_RR18_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 18 data collection contains atmospheric and acceleration data for the SpaceX CRS-24 Dragon vehicle as it carried the Rodent Research payload to the International Space Station and back down to Earth.\\n\\nRaw Datasets -- still need reference doc from SpX defining all parameters \\n\\nAscent date range: December XX, 2021 (DOY XX)\\nReturn date range: XX XX, 2022 (DOY XX)\\n\\nThe following raw acceleration and pressurized cargo environment data are included (CSV).\\n\\nFor ascent and return: Dragon body acceleration (m/s^2), cabin pressure (psia), temperature readings from cabin air and duct sensors (degrees Celsius), relative humidity readings from cabin air and duct sensors (percent RH), partial pressure of carbon dioxide (psia), and partial pressure of oxygen (psia); summary graphs of all parameters.\\n\\nA reference document defining the parameters were not defined by the submitter).\\n\\nSummarized Datasets\\nGraphed data relating to Dragon pressurized cargo cabin environmental conditions are included for these parameters: temperature, relative humidity, partial pressure of oxygen and carbon dioxide, pressure, acoustics, and vibrations. The data are extracted from a SpaceX report entitled Dragon CRS-21 Post-Mission Data Review: Mission Management/Cargo. Date ranges span from late load on XX 2021 through return on XX 2022. \\n\\nFor most, the data graphs are presented in the context of required limits. Specifics include: \\n- Late load install through launch, December XX, 2021: Dragon cabin temperature, relative humidity, partial pressure of oxygen, partial pressure of carbon dioxide, and cabin pressure.\\n- Launch through docking with ISS, undated: Dragon cabin temperature, humidity, and pressure\\n- Expected trends throughout mission, undated: Partial pressure of oxygen and carbon dioxide\\n- Ascent random vibrations\\n- Ascent and reentry acoustics\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac0c\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR04/EnvironmentalMonitoring/cabin_ISSES_ch3-3_RR04.xlsx\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 4 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin ground simulation chamber (ISSES) at KSC.\\n- Parameters: \\nTemperature (degrees Celsius); has a -2C offset = 20C is actually 22C\\nRelative humidity (percentage)\\nCarbon dioxide (parts per million)\\n\\\"SP\\\" values are the set point from the ISS cabin near the rodent habitats and \\\"PV\\\" values are actual conditions in the simulation chambers.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac0e\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR05/EnvironmentalMonitoring/ISS_ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 5 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and iassociatedgroundcontrols at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KS\\n-Parameters:\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nCarbon dioxide (parts per million)\\n\\\"SP\\\" values are the set point from the ISS cabin near the rodent habitats and \\\"PV\\\" valueareactualconditions in the simulation chambers.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac10\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR06/EnvironmentalMonitoring/ISS_ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 6 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\n-- ISS Cabin and Ground Simulation Chamber (ISSES)\\nDate ranges - Chamber 2: December 10, 2018 - January 11, 2019; \\nChamber 3: December 6, 2017 - February 6, 2018\\nIncludes raw, tabular and graphed data (XLSX)\\nChamber data are programmed from ISS cabin data. \\nParameters: date and time (GMT), time (Eastern), temperature (degrees Celsius), relative humidity (percentage), and carbon dioxide (parts per million) values. Headers are: Log Date/Time GMT, Controller Time, Temp, % RH, and Aux, respectively. \\\"SP\\\" values are the set points and \\\"PV\\\" values are the actual values for the chamber. Oxygen data are not collected.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac11\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR07/EnvironmentalMonitoring/ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 7 ground control re-run mission data collection contains environmental monitoring data for the ground control operations that were reconducted at Northwestern University in Evanston, Illinois in 2021. For this re-run mission, only ground operations were conducted. The original mission occurred in 2018. For associated flight data, see the records for Rodent Research 07.\\n-- ISS Cabin Ground Simulation Chamber (ISSES)\\nDate range is March 21 - June 6, 2021 (DOY 80-157)\\nData are provided for chambers 2 and 3.\\nData are presented as raw data points and are graphed by parameter. \\nParameters: Temperature (degrees Celsius), relative humidity (percentage), and carbon dioxide (parts per million).\\nIn data headings, SP is the Set point and PV represents what actually happened in the chamber.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac12\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR07/EnvironmentalMonitoring/cabin_ISSES_ch3_RR7.xlsx\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 7 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\nDate range: July 1, 2018 - September 18, 2018\\nChamber data are programmed from ISS cabin data. \\nParameters: date and time (GMT), time (Eastern), temperature (degrees Celsius), relative humidity (percentage), and carbondioxi(parts per million). \\\"SP\\\" values are the set points and \\\"PV\\\" values are the actual values for the chamber.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac14\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR08/EnvironmentalMonitoring/cabin_ISSES_ch3_3_RR8.xlsx\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 8 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\nDate range is December 1, 2018 - January 14, 2019\\n- Parameters: \\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nCarbon dioxide (parts per million)\\n\\\"SP\\\" values are the set point from the ISS cabin near the rodent habitats and \\\"PV\\\" values are actual conditions in the simulation chambers.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac16\",
\"fullPath\": \"DAP Drobo/RodentResearch/RR09/EnvironmentalMonitoring/cabin_ISSES_ch4_RR09.xlsx\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 9 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\nNote: Ground control operations were cut short due to a hurricane so were re-run from May 12 - June 18, 2018. \\nDate range is 5/12/2018 - 6/18/2018\\nChamber data are programmed from ISS cabin data. \\nParameters: date and time (GMT), time (Eastern), temperature (degrees Celsius), relative humidity (percentage), and carbon dioxide (parts per million) values. Headers are: Log Date/Time GMT, Controller Time, Temp, % RH, and Aux, respectively. \\\"SP\" values are the set points and \"PV\" values are the actual values for the chamber. Oxygen data are not collected.\\n\\nBoth the cabin and chamber data are logged in five-minute intervals and the chamber values are graphed, with one graph each for temperature, relative humidity, and carbon dioxide.\\nNote: The date range in the file represents the ground control re-run which occurred later because a hurricane cut the original ground control operations short. A crosswalk indicating flight dates was not included in this file. See the time table below. The duration of the ground control experiment for RR9 was longer because of the live animal return. The last three days of data in the original file acquired (June 16-18) are not from the cabin/ISSES chamber but from the SpaceX Dragon cabin. These three days of data were deleted from the cabin_ISSES_ch4_RR09.xlsx archived file. See the SpaceX file for those data.\\nRR9 ground control re-run dates\\n 5/12/18 Launch\\n 5/15/18 Transfer\\n 6/14/18 Undock\\n 6/14/18 Splashdown\\nRR9 flight dates\\n 8/14/17 Launch\\n 8/18/17 Transfer\\n 9/17/17 Undock \\n 9/16/17 splashdown\\n\\ncabin_ISSES_ch4_RR09.xlsx\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac17\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR010/EnvironmentalMonitoring/cabin_ISSES_ch4_RR10.xlsx\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 10 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS) and associated ground operations at the Roskamp Institute in Sarasota, Florida. These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at the Roskamp Institute.\\nThese data are from both the ISS cabin near the habitats and the ground control ISSES incubator chamber that simulates the cabin environment. The chamber data are programmed from ISS cabin data.\\nDate range: \\nCabin (GMT) December 4, 2020 - January 3, 2021 (DOY 339-003)\\nChamber (EST) Dec. 6, 2020-January 6, 2021 (DOY 341-006)\\nParameters:\\nCarbon dioxide - parts per million\\nTemperature - degrees Celsius\\nRelative humidity - percentage \\nISS Cabin time stamp (TelemetryGmtTime) - Greenwich Mean Time\\nISSES Chamber time stamp (PlaybackLocalTime) - Eastern Standard Time\\nData are logged in one-minute intervals and the chamber values are graphed, with one graph each for temperature, relative humidity, and carbon dioxide.\\nExplanation of anomalies:\\n1. The first 600 TelemetryGmtTime time stamps are logged as 2009 while corresponding PlaybackLocalTime values are logged as 2020. The 2009 values are 2020. 2009 was used as part of the procedure for to deconflict the two data streams. The month, day and time are correct.\\n2. Several points read as \\\"SUCCESS\\\" instead of a valid value. These are log errors from the raw data recorded in 1-second intervals. The submitter considers these errors to be acceptable in the context of the set as a whole.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac1d\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR017/EnvironmentalMonitoring/ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 17 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\n Date range:\\n Chamber 3: July 24 - September 6, 2019 (DOY 205 - 249)\\n Chamber 7: July 24 - August 27, 2019 (DOY 205 - 239)\\nChamber data are programmed from ISS cabin data. \\nParameters: date and time (GMT), time (Eastern), temperature (degrees Celsius), relative humidity (percentage), and carbon dioxide (parts per million). \\\"SP\\\" values are the set points and \\\"PV\\\" values are the actual values for the chamber. Oxygen data are not collected.\\nNote: Data appear to end before the experiment ended.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac1f\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR019/EnvironmentalMonitoring/cabin_ISSES_ch3+3_RR19.xlsx\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 19 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at Kennedy Space Center (KSC). These datasets contain environmental data for the ISS cabin near the rodent habitats and the associated cabin Ground Simulation Chamber (ISSES) at KSC.\\nDate range: \\n Chamber 2: December 3, 2019 - January 7, 2020 (2019 DOY 337 - 2020 DOY 007)\\n Chamber 3: December 3, 2019 - January 7, 2020 (2019 DOY 337 - 2020 DOY 007)\\nChamber data are programmed from ISS cabin data. Parameters: temperature (degrees Celsius), relative humidity (percentage), and carbon dioxide (parts per million). \\\"SP\\\" values are the set points and \\\"PV\\\" values are the actual values for the chamber. Oxygen data are not collected. Raw data are recorded in one-minute intervals. Data are presented in both raw, tabular format and as graphs.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac21\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RR023/EnvironmentalMonitoring/ISSES\",
\"subcategory\": \"ISS_ISSES\",
\"subdirectory\": \"Env\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 23 mission data collection contains environmental monitoring data for the Rodent Research payload on the International Space Station (ISS), and in associated ground controls at the Roskamp Institute in Sarasota, Florida. This series includes data from both the ISS cabin near the habitats and the ground control ISSES incubator chamber that simulates the cabin environment. The chamber data are programmed from ISS cabin data. Data are presented in human-readable (XLSX) format.\\nDate range: December 4, 2020 - January 10, 2021 (DOY 339 - 010)\\nParameters:\\nCarbon dioxide - parts per million\\nTemperature - degrees Celsius\\nRelative humidity - percentage \\nISS Cabin time stamp (TelemetryGmtTime) - Greenwich Mean Time\\nISSES Chamber time stamp (PlaybackLocalTime) - Eastern Standard Time \\n\\\"SP\\\" values are the set points from the ISS cabin and \\\"Actual\\\" values are the actual values for the ISSES chamber. Both the cabin and chamber data are logged in one-minute intervals and the chamber values are graphed, with one graph each for temperature, relative humidity, and carbon dioxide. There are numerous gaps in the data from January 10-14.\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
},
{
\"id\": \"6375b4f6313d542fb5edac22\",
\"fullPath\": \"CLSR/alsda_master/Dap Drobo/RodentResearch/RRD1/EnvironmentalMonitoring/VehicleData_CarrierSpX23_RRD1_RESTRICTED\",
\"subcategory\": \"SpaceX\",
\"collectionSite\": \"\",
\"fileSize\": 0,
\"description\": \"This portion of the Rodent Research 22 Demonstration 1 Validation mission data collection contains vehicle cabin environment and acceleration data for the SpaceX CRS-23 Dragon spacecraft as it carried the Rodent Research payload to the International Space Station. This mission was flight operations only, no ground controls. A reference key showing parameters and units of measure is included. Data are split across three files.\\nDate range: August 29, 2021 - October 1, 2021 (DOY 241-274)\\nParameters include:\\nCabin pressure (PSIA)\\nPartial pressure of oxygen (PSIA)\\nPartial pressure of carbon dioxide (MMHG)\\nTemperature (degrees Celsius)\\nRelative humidity (percentage)\\nBody accelerations (m/s^2)\",
\"collectionDays\": \"\",
\"category\": \"6376601f664a6ddef2d9f8c9\"
}
],
\"versionInfo\": { \"documentKey\": \"9e5a5f702ffc479fbbb335e2a067e6ad\", \"version\": 1, \"deleted\": false },
\"parents\": {
\"mission\": [
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-2\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-1\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-4\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-6\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-3\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-5\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-9\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-8\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-10\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-11\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-13\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-12\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-14\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-15\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-16\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-18\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/Eu:CROPIS\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-19\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-21\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-22\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-23\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-24\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-17\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-25\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-26\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-28\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-27\" },
{ \"mission\": \"https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX%20Inspiration%204\" }
]
}
}

API Requests with Python

Basic API Request

For basic API requests, the requests python library can be used. Install the library with the command:

 pip install requests 

We can use the requests libray to make API calls to any of the endpoints above. The python code below shows the exact commands needed to read the API endpoints that return JSON. Replace API_ENDPOINT_HERE with any API endpoint that returns JSON, as in the example.


import requests
response = requests.get(\"API_ENDPOINT_HERE\").json()
# Example:
response = requests.get(\"https://osdr.nasa.gov/osdr/data/osd/files/87\").json()

Resources

For more information on making API requests with python, visit https://www.dataquest.io/blog/python-api-tutorial/.

" }, { "id": "1", "name": "Satellite Situation Center", "summary": "System to cast geocentric spacecraft location information into a framework of (empirical) geophysical regions", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

Satellite Situation Center

The Satellite Situation Center Web (SSCWeb) service has been developed and is operated jointly by the NASA/GSFC Space Physics Data Facility (SPDF) and the National Space Science Data Center (NSSDC) to support a range of NASA science programs and to fulfill key international NASA responsibilities including those of NSSDC and the World Data Center-A for Rockets and Satellites. The software and associated database of SSCWeb together form a system to cast geocentric spacecraft location information into a framework of (empirical) geophysical regions and mappings of spacecraft locations along lines of the Earth's magnetic field. This capability is one key to mission science planning (both single missions and coordinated observations of multiple spacecraft with ground-based investigations) and to subsequent multi-mission data analysis. To get started with this API please visit this page.

" }, { "id": "1", "name": "SSD/CNEOS", "summary": "Solar System Dynamics and Center for Near-Earth Object Studies", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

SSD/CNEOS

Welcome to JPL’s SSD (Solar System Dynamics) and CNEOS (Center for Near-Earth Object Studies) API (Application Program Interface) service. This service provides an interface to machine-readable data (JSON-format) related to SSD and CNEOS.If you are looking for human-readable data, please go to the main websites for SSD and/or CNEOS. For further information on this API and its component services, please visit the JPL SSD/CNEOS API main website or contact contact-ssd-api@jpl.nasa.gov.

This API consists of the following component services:

API Description
CADAsteroid and comet close approaches to the planets in the past and future
FireballFireball atmospheric impact data reported by US Government sensors
Mission DesignMission Design - Small-body mission design suite
NHATSHuman-accessible NEOs data
ScoutNEOCP orbits, ephemerides, and impact risk data
SentryNEO Earth impact risk assessment data

CAD

This API provides access to current close-approach data for all asteroids and comets in JPL’s SBDB (Small-Body DataBase). Defaults for query parameters are setup for a typical CNEOS web-site search: NEO Earth close-approaches less than 0.05 au in the next 60 days sorted by date.

For complete API documentation please visit the JPL SBDB Close-Approach Data API website.

Fireball

The fireball data API provides a method of requesting specific records from the available data-set. Every successful query will return content representing one or more fireball data records. See the CNEOS page on fireballs for details on this data-set.

For complete API documentation please visit the JPL Fireball Data API website.

Mission Design

This API provides access to the JPL/SSD small-body mission design suite. Please see the Mission Design web-page for details about Mission Design.

For complete API documentation please visit the JPL Mission Design API website.

NHATS

The NHATS API provides a method of requesting data from the NHATS-related tables in the SBDB. These data will primarily support the CNEOS “Accessible NEAs” web-page. Please see the NHATS web-page for details about NHATS.

For complete API documentation please visit the JPL NHATS API website.

Scout

This API provides access to near-realtime results from the CNEOS Scout system. Various query modes provide access to available subsets of data. Please see the Scout web-page for details about Scout.

For complete API documentation please visit the JPL Scout API website.

Sentry

This API provides access to results from the CNEOS Sentry system. There are various \"modes\" used to obtain desired data. * O - object-specific details table * S - summary table * V - VI (virtual impactor) table * R - removed-objects table

For complete API documentation please visit the JPL Sentry API website.

" }, { "id": "1", "name": "Techport", "summary": "API to make NASA technology project data available in a machine-readable format", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

Techport

TechPort is NASA’s technology inventory, showcasing the NASA portfolio of active and completed technology projects. TechPort makes available technology information from across the Agency in order to facilitate opportunities for collaboration and partnerships, analyses of how the Agency is meeting mission needs, and data visualizations of technology drivers that enable key decisions.

The NASA TechPort system provides a RESTful web services API to make technology project data available to other systems and services. This API can be used to export TechPort data into JSON format, which can be further processed and analyzed.

For complete API documentation please visit the TechPort website.

", "swagger_data": { "swagger": "2.0", "info": { "version": "3.4.0", "title": "TechPort", "description": "TechPort RESTful API", "contact": { "name": "TechPort Team", "email": "hq-techport@mail.nasa.gov", "url": "https://techport.nasa.gov" } }, "host": "techport.nasa.gov", "basePath": "/api", "schemes": [ "http", "https" ], "produces": [ "application/xml", "application/json" ], "paths": { "/api": { "get": { "description": "Returns the swagger specification for the API.", "responses": { "200": { "description": "Successful response" }, "default": { "description": "Object not found." } } } }, "/api/projects{.format}": { "get": { "description": "Returns a list of available technology project IDs.", "parameters": [ { "name": "updatedSince", "in": "query", "description": "ISO 8601 full-date in the format YYYY-MM-DD. Filters the list of available ID values by their lastUpdated parameter.", "required": true, "type": "string", "format": "date" }, { "name": "format", "in": "path", "description": "The response type desired.", "required": false, "type": "string", "default": "json", "enum": [ "json", "xml" ] } ], "responses": { "200": { "description": "Successful response", "schema": { "type": "object", "properties": { "id": { "type": "integer", "format": "int64" }, "lastUpdated": { "type": "string" } } } }, "default": { "description": "Object not found." } } } }, "/api/projects/{id}{.format}": { "get": { "description": "Returns information about a specific technology project.", "parameters": [ { "name": "id", "in": "path", "description": "ID of project to fetch", "required": true, "type": "integer", "format": "int64" }, { "name": "format", "in": "path", "description": "The response type desired.", "required": false, "type": "string", "default": "xml", "enum": [ "json", "xml" ] } ], "responses": { "200": { "description": "Successful response", "schema": { "$ref": "#/definitions/project" } }, "default": { "description": "Object not found." } } } } }, "definitions": { "project": { "type": "object", "description": "Top-level TechPort object representing a NASA technology project and its associated data.", "properties": { "id": { "type": "integer", "format": "int64", "description": "Unique identifier for the project." }, "lastUpdated": { "type": "string", "format": "date", "description": "ISO 8601 full-date in the format YYYY-MM-DD describing the last time this project was updated." }, "title": { "type": "string", "description": "Title of the project." }, "acronym": { "type": "string", "description": "Abbreviated name of the project." }, "status": { "type": "string", "description": "Indicates whether the project is currently active, completed, or canceled." }, "description": { "type": "string", "description": "A detailed description of the project." }, "benefits": { "type": "string", "description": "Describes the benefits offered to NASA funded and planned missions, unfunded or planned missions, commercial space industry, and to the nation." }, "startDate": { "type": "string", "description": "The month and year the project was authorized to proceed." }, "endDate": { "type": "string", "description": "The month and year the project is expected to complete its work." }, "technologyMaturityStart": { "type": "string", "description": "The technology maturity (technology readiness level) of the project at its beginning." }, "technologyMaturityCurrent": { "type": "string", "description": "The current technology maturity (technology readiness level) of the project." }, "technologyMaturityEnd": { "type": "string", "description": "The estimated technology maturity (technology readiness level) of the project at its end." }, "primaryTas": { "type": "array", "description": "List of primary technolgy areas (from the NASA Technology Roadmap) associated with the project.", "items": { "$ref": "#/definitions/technologyArea" } }, "additionalTas": { "type": "array", "description": "List of additional and cross-cutting technology areas associated with the project.", "items": { "$ref": "#/definitions/technologyArea" } }, "destinations": { "type": "array", "description": "List of the NASA destinations the technology on this project helps achieve.", "items": { "$ref": "#/definitions/destination" } }, "supportedMissionType": { "type": "string", "description": "The supported mission type (Projected Mission, Planned Mission, or Pull)." }, "responsibleProgram": { "type": "string", "description": "The NASA program that is the primary funding source for this project." }, "responsibleMissionDirectorateOrOffice": { "type": "string", "description": "The NASA Mission Directorate or Office that is the primary funding source for this project." }, "leadOrganization": { "type": "object", "description": "The lead NASA Center / Facility or external organization that is conducting the majority of the work.", "$ref": "#/definitions/organization" }, "supportingOrganizations": { "type": "array", "description": "The supporting organizations for this project that are conducting work on the project.", "items": { "$ref": "#/definitions/organization" } }, "coFundingPartners": { "type": "array", "description": "Other government agencies, NASA Mission Directoratres, universities, or commercial entities performing contributing resources to this project.", "items": { "$ref": "#/definitions/organization" } }, "workLocations": { "type": "array", "description": "States and territories with people performing work on this project.", "items": { "$ref": "#/definitions/workLocation" } }, "programDirectors": { "type": "array", "description": "Names of the Program Directors responsible for the management of this project.", "items": { "$ref": "#/definitions/programDirector" } }, "programManagers": { "type": "array", "description": "Names of the Program Managers responsible for the management of this project.", "items": { "$ref": "#/definitions/programManager" } }, "projectManagers": { "type": "array", "description": "Names of the Project Managers responsible for the management of this project.", "items": { "$ref": "#/definitions/projectManager" } }, "principalInvestigators": { "type": "array", "description": "Names of the Principal Investigators who are the lead scientists or engineers for this project.", "items": { "$ref": "#/definitions/principalInvestigator" } }, "coInvestigators": { "type": "array", "description": "Names of the additional investigators who are scientists or engineers for this project.", "items": { "$ref": "#/definitions/coInvestigator" } }, "website": { "type": "string", "description": "The URL for the associated website." }, "libraryItems": { "type": "array", "description": "List of library items in the project library.", "items": { "$ref": "#/definitions/libraryItem" } }, "closeoutSummary": { "type": "string", "description": "The project closeout summary excerpt." }, "closeoutDocuments": { "type": "array", "description": "List of document files or links to the project final report closeout documentation.", "items": { "$ref": "#/definitions/closeoutDocument" } } } }, "libraryItem": { "type": "object", "description": "Represents a specific library item that is part of this project.", "properties": { "id": { "type": "integer", "format": "int64", "description": "Unique identifier for the library item." }, "title": { "type": "string", "description": "Title of the library item" }, "type": { "type": "string", "description": "Identifies the type of library item, e.g. Image" }, "files": { "type": "array", "description": "List of files associated with the library item.", "items": { "$ref": "#/definitions/file" } }, "description": { "type": "string", "description": "Description of the library item." }, "externalUrl": { "type": "string", "description": "External URL for the library item." }, "completionDate": { "type": "string", "description": "Date the library item was completed." }, "publishedBy": { "type": "string", "description": "Publisher of the library item." }, "publishedDate": { "type": "string", "description": "Date the library item was published." } } }, "file": { "type": "object", "description": "Represents a file associated with a library item.", "properties": { "id": { "type": "integer", "format": "int64", "description": "Unique identifier for the file." }, "url": { "type": "string", "description": "The TechPort URL at which the file is accessible for download." }, "size": { "type": "string", "description": "The size of the file in bytes." } } }, "destination": { "type": "string", "description": "Represents a destination towards which the technology on this project helps advance the Agency goals." }, "closeoutDocument": { "type": "string", "description": "Represents a file hyperlink or external hyperlink to a project closeout final report artifact." }, "technologyArea": { "type": "object", "description": "The Technology Area for a given technology that corresponds to the NASA Technology Roadmap.", "properties": { "id": { "type": "integer", "format": "int64", "description": "Unique identifier for the Technology Area." }, "code": { "type": "string", "description": "The code identifier for the Technology Area." }, "name": { "type": "string", "description": "The name of the Technology Area." } } }, "organization": { "type": "object", "description": "A NASA center/facility associated with an project.", "properties": { "name": { "type": "string", "description": "The name of the organization." }, "acronym": { "type": "string", "description": "The acronym of the organization." }, "city": { "type": "string", "description": "The city in which the organization is located." }, "state": { "type": "string", "description": "The state in which the organization is located." } } }, "workLocation": { "type": "string", "description": "A state/territory where work on this project is performed." }, "programDirector": { "type": "string", "description": "The name of a Program Director responsible for management of an project." }, "programManager": { "type": "string", "description": "The name of a Program Manager responsible for management of an project." }, "projectManager": { "type": "string", "description": "The name of a Project Manager responsible for management of an project." }, "principalInvestigator": { "type": "string", "description": "The name of the Principal Investigator who is a lead scientist or engineer for an project." }, "coInvestigator": { "type": "string", "description": "The name of an investigator who is a scientist or engineer for an project." } } } }, { "id": "1", "name": "TechTransfer", "summary": "Patents, Software, and Tech Transfer Reports", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

TechTransfer

NASA's Technology Transfer Program ensures that innovations developed for exploration and discovery are broadly available to the public. The NASA patent portfolio is available to benefit US citizens. Through partnerships and licensing agreements with industry, these patents ensure that NASA’s investments in pioneering research find secondary uses that benefit the economy, create jobs, and improve quality of life. This endpoint provides structured, searchable developer access to NASA’s patents, software, and technology spinoff descriptions that have been curated to support technology transfer. More information can be found at technology.nasa.gov and software.nasa.gov and spinoff.nasa.gov.

HTTP Request

GET https://api.nasa.gov/techtransfer

Query Parameters

Parameter Type Default Description
patentstringNoneReturn a JSON of patents that match the string provided
patent_issuedstringNoneReturns patent results in a JSON that match the string within the information about how issued each patent
softwarestringNoneReturns JSON of NASA software that matches given string.
SpinoffstringNoneReturns spinoff examples that match given word.

Example query

https://api.nasa.gov/techtransfer/patent/?engine&api_key=DEMO_KEY

" }, { "id": "1", "name": "TLE API", "summary": "Two line element data for earth-orbiting objects at a given point in time", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

TLE API

The TLE API provides up to date two line element set records, the data is updated daily from CelesTrak and served in JSON format. A two-line element set (TLE) is a data format encoding a list of orbital elements of an Earth-orbiting object for a given point in time. For more information on TLE data format visit Definition of Two-line Element Set Coordinate System.

Further documentation and response examples are available at: http://tle.ivanstanojevic.me

Available endpoints

The TLE API consists of two endpoints GET http://tle.ivanstanojevic.me

Endpoint Description
GET /api/tle?search={q} Performing a search by satellite name
GET /api/tle/{q} Retrieving a single TLE record where query is satellite number

Example query

http://tle.ivanstanojevic.me/api/tle

" }, { "id": "1", "name": "Vesta/Moon/Mars Trek WMTS", "summary": "A Web Map Tile Service for the Vesta, Moon, and Mars Trek imagery projects", "tags": [ "tags1", "tags2", "tags3", "tags4" ], "html_template": "

Vesta/Moon/Mars Trek WMTS

Here we have the collection of APIs that power the awesome Mars Trek and Vesta Trek NASA web-based portals for exploration and have newly added Moon Trek. These APIs can be leveraged using your favorite OGC RESTFul Web Map and Tile Service (WMTS) client. Please visit http://www.opengeospatial.org/standards/wmts for more information about WMTS. To help you get started, we've included some demos using the ESRI javascript client library for Mars and Vesta.

This API is maintained and provided by the NASA Solar System Exploration Research Virtual Institute (SSERVI) and the Jet Propulsion Lab (JPL) Trek team.

Available Moon Mosaics

Here is basic information about how to request image tiles from a RESTful WMTS service. The basic URL template is as follows:

http://{WMTS endpoint}/1.0.0/{Style}/{TileMatrixSet}/{TileMatrix}/{TileRow}/{TileCol}.png

* Some services are .png and some are .jpg. Please look at WMTS GetCapabilities ResourcesURL element to find out what extension to use. In order to fill in the variables in the template URL, you need to parse the WMTS GetCapabilities XML. GetCapabilities XML can be found for each product below. From the WMTS GetCapabilities XML, find ows:Identifier element inside Style element. This value replaces{Style}. The ows:Identifier element inside TileMatrixSet element replaces{TileMatrixSet}. Inside the TileMatrixSet element in WMTS Capabilities, there is a list of TileMatrix. This is the Zoom level. Replace{TileMatrix}with the ows:Identifier found in TileMatrix element.{TileRow}and{TileCol}are row and col index for tiles. The first zoom level for a product that covers the entire globe will have two columns and one row so that the URLs are as follows:

http://moontrek.jpl.nasa.gov/trektiles/Moon/EQ/LRO_WAC_Mosaic_Global_303ppd_v02/1.0.0/default/default028mm/0/0/0.jpg
http://moontrek.jpl.nasa.gov/trektiles/Moon/EQ/LRO_WAC_Mosaic_Global_303ppd_v02/1.0.0/default/default028mm/0/0/1.jpg

The second zoom level has four columns and two rows and so on. If the image tile is missing, that means there is no data coverage in that area. You can also use coverage Bbox to calculate the coverage before requesting image tiles.

For a complete listing of the Moon's Equirectangular, North Polar and South Polar based Services, please see https://trek.nasa.gov/tiles/apidoc/trekAPI.html?body=moon

Available Mars Mosaics

MosaicPreviewWMTS Capabilities
Viking Color Mosaic - Global MapPreviewWMTS Capabilities
CTX Mosaic - Curiosity Landing SitePreviewWMTS Capabilities
HiRISE Mosaic - Curiosity Landing SitePreviewWMTS Capabilities
HiRISE Mosaic - ESP_040776_2115PreviewWMTS Capabilities
HiRISE Mosaic - ESP_042252_1930_RED_B_01_ORTHOPreviewWMTS Capabilities
HiRISE Mosaic - ESP_042647_1760_RED_B_01_ORTHOPreviewWMTS Capabilities
HRSC Mosaic - Martian EastPreviewWMTS Capabilities
HRSC Color Mosaic - MC11PreviewWMTS Capabilities
HRSC Mosaic - MC11PreviewWMTS Capabilities
HiRISE Mosaic - Spirit Landing SitePreviewWMTS Capabilities
HiRISE Mosaic - Opportunity Landing SitePreviewWMTS Capabilities
HiRISE Mosaic - Phoenix Landing SitePreviewWMTS Capabilities
HiRISE Mosaic - Sojourner Landing SitePreviewWMTS Capabilities
Albedo Mosaic - Thermal Emission SpectrometerPreviewWMTS Capabilities
DEM Grayscale - Mars Orbiter Laser AltimeterPreviewWMTS Capabilities
Color Hillshade - Mars Orbiter Laser AltimeterPreviewWMTS Capabilities
Experience Curiosity - Curiosity Landing SitePreviewWMTS Capabilities
Atlas Mosaic - Mars Orbiter CameraPreviewWMTS Capabilities
Infrared Night - Thermal Emission Imaging SystemPreviewWMTS Capabilities
Infrared Day - Thermal Emission Imaging SystemPreviewWMTS Capabilities
HRSC Mosaic - Mawrth VallisPreviewWMTS Capabilities
HRSC Color Mosaic - Mawrth VallisPreviewWMTS Capabilities

Available Vesta Mosaics

MosaicPreviewWMTS Capabilities
global_LAMOPreviewWMTS Capabilities
Vesta_Dawn_HAMO_DTM_DLR_Global_48ppd 8BitPreviewWMTS Capabilities
Vesta_Dawn_Geology_Global_32ppd_IAUPreviewWMTS Capabilities
Vesta_Dawn_HAMO_ClrShade_DLR_Global_48ppd_IAUPreviewWMTS Capabilities
Vesta_Dawn_HAMO_MinRatio_DLR_global_74ppd_IAUPreviewWMTS Capabilities
Vesta_Dawn_HAMO_Shade_DLR_Global_48ppd_IAUPreviewWMTS Capabilities
Vesta_Dawn_HAMO_TrueClr_DLR_global_74ppdPreviewWMTS Capabilities
" } ]