{ NASA APIs }
Welcome to the NASA API portal. The objective of this site is to make NASA data, including imagery, eminently accessible to application developers. This catalog focuses on broadly useful and user friendly APIs and does not hold every NASA API.
Generate API Key
Authentication
You do not need to authenticate in order to explore the NASA data. However, if you will be intensively using the APIs to, say, support a mobile application, then you should sign up for a NASA developer key.
Web Service Rate Limits
Limits are placed on the number of API requests you may make using your API key. Rate limits may vary by service, but the defaults are:
- Hourly Limit: 1,000 requests per hour
For each API key, these limits are applied across all api.nasa.gov API requests. Exceeding these limits will lead to your API key being temporarily blocked from making further requests. The block will automatically be lifted by waiting an hour. If you need higher rate limits, contact us.
DEMO_KEY Rate Limits
In documentation examples, the special DEMO_KEY api key is used. This API key can be used for initially exploring APIs prior to signing up, but it has much lower rate limits, so you’re encouraged to signup for your own API key if you plan to use the API (signup is quick and easy). The rate limits for the DEMO_KEY are:
- Hourly Limit: 30 requests per IP address per hour
- Daily Limit: 50 requests per IP address per day
How Do I See My Current Usage?
Your can check your current rate limit and usage details by
inspecting the X-RateLimit-Limit
and X-RateLimit-Remaining
HTTP
headers that are returned on every API response. For example, if an
API has the default hourly limit of 1,000 request, after making 2
requests, you will receive this HTTP header in the response of the
second request:
X-RateLimit-Remaining: 998
The hourly counters for your API key reset on a rolling basis.
Example: If you made 500 requests at 10:15AM and 500 requests at 10:25AM, your API key would become temporarily blocked. This temporary block of your API key would cease at 11:15AM, at which point you could make 500 requests. At 11:25AM, you could then make another 500 requests.
API Key Recovery
Please contact us for help recovering an old API keyYou may apply for multiple keys as needed.
Browse APIs
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. In addition, if the
concept_tags
parameter is set toTrue
, 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.The full documentation for this API can be found in the APOD API Github repository.
Example image:
HTTP Request
GET https://api.nasa.gov/planetary/apod
concept_tags are now disabled in this service. Also, an optional return parameter copyright is returned if the image is not public domain.
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 withdate
orstart_date
andend_date
.thumbs bool False Return the URL of video thumbnail. If an APOD is not a video, this parameter is ignored. api_key string DEMO_KEY api.nasa.gov key for expanded usage Example query
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_date YYYY-MM-DD none Starting date for asteroid search end_date YYYY-MM-DD 7 days after start_date Ending date for asteroid search api_key string DEMO_KEY api.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_key string DEMO_KEY api.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
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:
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_KEYCoronal 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_KEYGeomagnetic 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_KEYInterplanetary 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_KEYSolar 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_KEYSolar 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_KEYMagnetopause 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_KEYRadiation 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_KEYHight 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_KEYWSA+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_KEYNotifications
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_KEYEarth
Landsat imagery is provided to the public as a joint project between NASA and USGS. A recent industry report on landsat satellite imagery data estimates that total annual value to the economy of $2.19 billion, far exceeding the multi-year total cost of building, launching, and managing Landsat satellites and sensors. The value is derived from consumers use of the data. The objective of this endpoint is to give you an easy to use taste of what Landsat imagery data can provide. There are more complicated APIs available if you want to build models on top of satellite imagery, apply machine-learning, or minimize clouds in your image. NASA's Earth Science Devision has a variety of Earth imagery APIs for developers, which you can find out about in the Earthdata Developer Portal. Specifically, the GIBS (Global Imagery Browse Services) API may be of interest. The Google Earth Engine API is another powerful option. This API is powered by Google Earth Engine API, and currently only supports pan-sharpened Landsat 8 imagery.
Example image:
This example image shows downtown Houston, Texas USA. It should be what is returned if you use the example query below. If you discover any cool applications, please let us know.
Imagery
This endpoint retrieves the Landsat 8 image for the supplied location and date. The response will include the date and URL to the image that is closest to the supplied date. The requested resource may not be available for the exact date in the request. You can retrieve a JSON that contains the inputs you provided and a URL to the resulting image through the assets endpoint. The assets endpoint no longer returns a list of potential images within your date range due to a change on the Google Earth Engine API side.
The cloud score was an optional calculation that returns the percentage of the queried image that is covered by clouds, but it is not available in current versions of the API. If
False
IfHTTP Request
GET https://api.nasa.gov/planetary/earth/imagery
Query Parameters
Parameter Type Default Description lat float n/a Latitude lon float n/a Longitude dim float 0.025 width and height of image in degrees date YYYY-MM-DD today date of image; if not supplied, then the most recent image (i.e., closest to today) is returned cloud_score bool False [NOT CURRENTLY AVAILABLE!!!!] calculate the percentage of the image covered by clouds api_key string DEMO_KEY api.nasa.gov key for expanded usage Example query
https://api.nasa.gov/planetary/earth/imagery?lon=100.75&lat=1.5&date=2014-02-01&api_key=DEMO_KEY
Assets
This endpoint retrieves the date-times and asset names for closest available imagery for a supplied location and date. The satellite passes over each point on earth roughly once every sixteen days. This is an amazing visualization of the acquisition pattern for Landsat 8 imagery. The objective of this endpoint is primarily to support the use of the imagery endpoint.
HTTP Request
GET https://api.nasa.gov/planetary/earth/assets
Query Parameters
Parameter Type Default Description lat float n/a Latitude lon float n/a Longitude date YYYY-MM-DD n/a beginning of 30 day date range that will be used to look for closest image to that date dim float 0.025 width and height of image in degrees api_key string DEMO_KEY api.nasa.gov key for expanded usage Example query
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.
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:
- Image [name]
- Date
- Caption
- centroid_coordinates
- dscovr_j2000_position
- lunar_j2000_position
- sun_j2000_position
- attitude_quaternions
Example image:
Querying by Date(s)
Parameter Type Default Description natural string Most Recent Natural Color Metadata on the most recent date of natural color imagery. natural/date YYYY-MM-DD Most Recent Available Metadata for natural color imagery available for a given date. natural/all string Dates for Natural Color A listing of all dates with available natural color imagery. natural/available string Dates for Natural Color Alternate listing of all dates with available natural color imagery. enhanced string Most Recent Enhanced Color Metadata on the most recent date of enhanced color imagery. enhanced/date YYYY-MM-DD Most Recent Available Metadata for enhanced color imagery for a given date. enhanced/all string Dates for Enhanced Imagery A listing of all dates with available enhanced color imagery. enhanced/available string Dates for Enhanced Imagery Alternate listing of all dates with available enhanced color imagery. api_key string DEMO_KEY API 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.
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
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:
- Single study request using study accession number
- Multiple studies request using combination of range and comma separated list
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:
- https://osdr.nasa.gov/osdr/data/search?term=space&from=0&type=cgene,nih_geo_gse&ffield=links&fvalue=GPL16417&ffield=Data%20Source%20Accession.raw&fvalue=GSE82255
- https://osdr.nasa.gov/osdr/data/search?ffield=organism&fvalue=Homo%20sapiens&ffield=Study%20Assay%20Technology%20Type&fvalue=RNA%20Sequencing
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:
- https://osdr.nasa.gov/bio/repo/search?q=cancer&data_source=cgene
- https://osdr.nasa.gov/bio/repo/search?q=mouse%20AND%20liver&data_source=cgene
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.
- Experiment:
- All: https://osdr.nasa.gov/geode-py/ws/api/experiments
- Single: https://osdr.nasa.gov/geode-py/ws/api/experiment/ + identifier
- Mission:
- All: https://osdr.nasa.gov/geode-py/ws/api/missions
- Single: https://osdr.nasa.gov/geode-py/ws/api/mission/ + identifier
- Payload:
- All: https://osdr.nasa.gov/geode-py/ws/api/payloads
- Single: https://osdr.nasa.gov/geode-py/ws/api/payload/ + identifier
- Hardware:
- All: https://osdr.nasa.gov/geode-py/ws/api/hardware
- Single: https://osdr.nasa.gov/geode-py/ws/api/hardware/ + identifier
- Vehicle:
- All: https://osdr.nasa.gov/geode-py/ws/api/vehicles
- Single: https://osdr.nasa.gov/geode-py/ws/api/vehicle/ + identifier
- Subject:
- All: https://osdr.nasa.gov/geode-py/ws/api/subjects
- Single: https://osdr.nasa.gov/geode-py/ws/api/subject/ + identifier
- Biospecimen:
- All: https://osdr.nasa.gov/geode-py/ws/api/biospecimens
- Single: https://osdr.nasa.gov/geode-py/ws/api/biospecimen/ + identifier
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.",
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"fullPath": "DAP Drobo/RodentResearch/RR03/EnvironmentalMonitoring/ISS_ISSES",
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"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.",
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"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.",
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"id": "6375b4f6313d542fb5edabb0",
"fullPath": "DAP Drobo/RodentResearch/RR01/eclss_sensorlocations_dragon.pdf",
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"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.",
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"id": "6375b4f6313d542fb5edabb4",
"fullPath": "DAP Drobo/RodentResearch/RR04/EnvironmentalMonitoring/VehicleData_SpaceX10_RESTRICTED",
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"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"
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"id": "6375b4f6313d542fb5edabb5",
"fullPath": "DAP Drobo/RodentResearch/RR05/EnvironmentalMonitoring/VehicleData_SpaceX11_RESTRICTED",
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"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. \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": "",
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"id": "6375b4f6313d542fb5edabb6",
"fullPath": "DAP Drobo/RodentResearch/RR03/EnvironmentalMonitoring/VehicleData_SpaceX8_RESTRICTED",
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"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"
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"fullPath": "DAP Drobo/RodentResearch/RR06/EnvironmentalMonitoring/VehicleData_SpaceX13-14_RR06_RESTRICTED",
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"description": "This portion of the 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"
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"id": "6375b4f6313d542fb5edabd1",
"fullPath": "DAP Drobo/RodentResearch/RR08/EnvironmentalMonitoring/VehicleData_SpaceX16_RESTRICTED",
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"description": "This portion of the 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": "",
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{
"id": "6375b4f6313d542fb5edabde",
"fullPath": "DAP Drobo/RodentResearch/RR07/EnvironmentalMonitoring/VehicleData_SpaceX15_RR07_RESTRICTED",
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"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)",
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"id": "6375b4f6313d542fb5edabdf",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR017/EnvironmentalMonitoring/VehicleData_SpX18_RR17_RESTRICTED",
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"description": "This portion of the 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"
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{
"id": "6375b4f6313d542fb5edabe5",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR019/EnvironmentalMonitoring/VehicleData_SpX19_RR19_RESTRICTED",
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"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",
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"id": "6375b4f6313d542fb5edabf7",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR010/EnvironmentalMonitoring/VehicleData_SpX21_RR10_RESTRICTED",
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"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",
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"id": "6375b4f6313d542fb5edabf8",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR023/EnvironmentalMonitoring/VehicleData_SpX21_RR23_RESTRICTED",
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"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)",
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"id": "6375b4f6313d542fb5edac08",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR018/EnvironmentalMonitoring/VehicleData_SpX24_RR18_RESTRICTED",
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"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",
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"id": "6375b4f6313d542fb5edac0c",
"fullPath": "DAP Drobo/RodentResearch/RR04/EnvironmentalMonitoring/cabin_ISSES_ch3-3_RR04.xlsx",
"subcategory": "ISS_ISSES",
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"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.",
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"id": "6375b4f6313d542fb5edac0e",
"fullPath": "DAP Drobo/RodentResearch/RR05/EnvironmentalMonitoring/ISS_ISSES",
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"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.",
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"id": "6375b4f6313d542fb5edac10",
"fullPath": "DAP Drobo/RodentResearch/RR06/EnvironmentalMonitoring/ISS_ISSES",
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"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.",
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"id": "6375b4f6313d542fb5edac11",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR07/EnvironmentalMonitoring/ISSES",
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"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.",
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"id": "6375b4f6313d542fb5edac12",
"fullPath": "DAP Drobo/RodentResearch/RR07/EnvironmentalMonitoring/cabin_ISSES_ch3_RR7.xlsx",
"subcategory": "ISS_ISSES",
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"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.",
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{
"id": "6375b4f6313d542fb5edac14",
"fullPath": "DAP Drobo/RodentResearch/RR08/EnvironmentalMonitoring/cabin_ISSES_ch3_3_RR8.xlsx",
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"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": "",
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{
"id": "6375b4f6313d542fb5edac16",
"fullPath": "DAP Drobo/RodentResearch/RR09/EnvironmentalMonitoring/cabin_ISSES_ch4_RR09.xlsx",
"subcategory": "ISS_ISSES",
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"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",
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{
"id": "6375b4f6313d542fb5edac17",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR010/EnvironmentalMonitoring/cabin_ISSES_ch4_RR10.xlsx",
"subcategory": "ISS_ISSES",
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"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.",
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"id": "6375b4f6313d542fb5edac1d",
"fullPath": "CLSR/alsda_master/Dap Drobo/RodentResearch/RR017/EnvironmentalMonitoring/ISSES",
"subcategory": "ISS_ISSES",
"subdirectory": "Env",
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"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.",
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"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.",
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"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": "",
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"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": "",
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{ "mission": "https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-12" },
{ "mission": "https://osdr.nasa.gov/geode-py/ws/api/mission/SpaceX-14" },
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{ "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" },
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}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/.
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
Parameter Type Default Description version float 1.0 The version of this API feedtype string json The format of what is returned. Currently the default is JSON and only JSON works. api_key string DEMO_KEY api.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:
Mars Rover Photos
This API is designed to collect image data gathered by NASA's Curiosity, Opportunity, and Spirit rovers on Mars and make it more easily available to other developers, educators, and citizen scientists. This API is maintained by Chris Cerami.
Each rover has its own set of photos stored in the database, which can be queried separately. There are several possible queries that can be made against the API. Photos are organized by the sol (Martian rotation or day) on which they were taken, counting up from the rover's landing date. A photo taken on Curiosity's 1000th Martian sol exploring Mars, for example, will have a sol attribute of 1000. If instead you prefer to search by the Earth date on which a photo was taken, you can do that, too.
Along with querying by date, results can also be filtered by the camera with which it was taken and responses will be limited to 25 photos per call. Queries that should return more than 25 photos will be split onto several pages, which can be accessed by adding a 'page' param to the query.
Each camera has a unique function and perspective, and they are named as follows:
Rover Cameras
Abbreviation Camera Curiosity Opportunity Spirit FHAZ Front Hazard Avoidance Camera ✔ ✔ ✔ RHAZ Rear Hazard Avoidance Camera ✔ ✔ ✔ MAST Mast Camera ✔ CHEMCAM Chemistry and Camera Complex ✔ MAHLI Mars Hand Lens Imager ✔ MARDI Mars Descent Imager ✔ NAVCAM Navigation Camera ✔ ✔ ✔ PANCAM Panoramic Camera ✔ ✔ MINITES Miniature Thermal Emission Spectrometer (Mini-TES) ✔ ✔ Querying by Martian sol
Parameter Type Default Description sol int none sol (ranges from 0 to max found in endpoint) camera string all see table above for abbreviations page int 1 25 items per page returned api_key string DEMO_KEY api.nasa.gov key for expanded usage Example queries
https://api.nasa.gov/mars-photos/api/v1/rovers/curiosity/photos?sol=1000&api_key=DEMO_KEY
https://api.nasa.gov/mars-photos/api/v1/rovers/curiosity/photos?sol=1000&page=2&api_key=DEMO_KEY
Querying by Earth date
Parameter Type Default Description earth_date YYYY-MM-DD none corresponding date on earth for the given sol camera string all see table above for abbreviations page int 1 25 items per page returned api_key string DEMO_KEY api.nasa.gov key for expanded usage Example query
https://api.nasa.gov/mars-photos/api/v1/rovers/curiosity/photos?earth_date=2015-6-3&api_key=DEMO_KEY
Mission Manifest
A mission manifest is available for each Rover at /manifests/rover_name. This manifest will list details of the Rover's mission to help narrow down photo queries to the API. The information in the manifest includes:
Key Description name Name of the Rover landing_date The Rover's landing date on Mars launch_date The Rover's launch date from Earth status The Rover's mission status max_sol The most recent Martian sol from which photos exist max_date The most recent Earth date from which photos exist total_photos Number of photos taken by that Rover It also includes a list of objects under the "photos" key which are grouped by sol, and each of which contains:
Key Description sol Martian sol of the Rover's mission total_photos Number of photos taken by that Rover on that sol cameras Cameras for which there are photos by that Rover on that sol An example entry from a sol at /manifests/Curiosity might look like:
{sol: 0, total_photos: 3702, cameras: [ "CHEMCAM", "FHAZ", "MARDI", "RHAZ"]}
This would tell you that this rover, on sol 0, took 3702 photos, and those are from among the CHEMCAM, FHAZ, MARDI, and RHAZ cameras.
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-oriented URLs and uses HTTP response codes to indicate API errors. This API uses built-in HTTP features such as HTTP authentication and HTTP verbs, which are understood by many off-the-shelf 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-line tool, Unix pipelines, and the python command-line tool to output API responses in an easy to read 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.
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 patent string None Return a JSON of patents that match the string provided patent_issued string None Returns patent results in a JSON that match the string within the information about how issued each patent software string None Returns JSON of NASA software that matches given string. Spinoff string None Returns spinoff examples that match given word. Example query
https://api.nasa.gov/techtransfer/patent/?engine&api_key=DEMO_KEY
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.
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 CAD Asteroid and comet close approaches to the planets in the past and future Fireball Fireball atmospheric impact data reported by US Government sensors Mission Design Mission Design - Small-body mission design suite NHATS Human-accessible NEOs data Scout NEOCP orbits, ephemerides, and impact risk data Sentry NEO 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 tableFor complete API documentation please visit the JPL Sentry API website.
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.
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
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.jpgThe 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
Mosaic Preview WMTS Capabilities Viking Color Mosaic - Global Map Preview WMTS Capabilities CTX Mosaic - Curiosity Landing Site Preview WMTS Capabilities HiRISE Mosaic - Curiosity Landing Site Preview WMTS Capabilities HiRISE Mosaic - ESP_040776_2115 Preview WMTS Capabilities HiRISE Mosaic - ESP_042252_1930_RED_B_01_ORTHO Preview WMTS Capabilities HiRISE Mosaic - ESP_042647_1760_RED_B_01_ORTHO Preview WMTS Capabilities HRSC Mosaic - Martian East Preview WMTS Capabilities HRSC Color Mosaic - MC11 Preview WMTS Capabilities HRSC Mosaic - MC11 Preview WMTS Capabilities HiRISE Mosaic - Spirit Landing Site Preview WMTS Capabilities HiRISE Mosaic - Opportunity Landing Site Preview WMTS Capabilities HiRISE Mosaic - Phoenix Landing Site Preview WMTS Capabilities HiRISE Mosaic - Sojourner Landing Site Preview WMTS Capabilities Albedo Mosaic - Thermal Emission Spectrometer Preview WMTS Capabilities DEM Grayscale - Mars Orbiter Laser Altimeter Preview WMTS Capabilities Color Hillshade - Mars Orbiter Laser Altimeter Preview WMTS Capabilities Experience Curiosity - Curiosity Landing Site Preview WMTS Capabilities Atlas Mosaic - Mars Orbiter Camera Preview WMTS Capabilities Infrared Night - Thermal Emission Imaging System Preview WMTS Capabilities Infrared Day - Thermal Emission Imaging System Preview WMTS Capabilities HRSC Mosaic - Mawrth Vallis Preview WMTS Capabilities HRSC Color Mosaic - Mawrth Vallis Preview WMTS Capabilities Available Vesta Mosaics
Mosaic Preview WMTS Capabilities global_LAMO Preview WMTS Capabilities Vesta_Dawn_HAMO_DTM_DLR_Global_48ppd 8Bit Preview WMTS Capabilities Vesta_Dawn_Geology_Global_32ppd_IAU Preview WMTS Capabilities Vesta_Dawn_HAMO_ClrShade_DLR_Global_48ppd_IAU Preview WMTS Capabilities Vesta_Dawn_HAMO_MinRatio_DLR_global_74ppd_IAU Preview WMTS Capabilities Vesta_Dawn_HAMO_Shade_DLR_Global_48ppd_IAU Preview WMTS Capabilities Vesta_Dawn_HAMO_TrueClr_DLR_global_74ppd Preview WMTS Capabilities
If you find a bug, please note that this page acts as a central catalog and key service for public APIs. It does not hold the actual API code. For bugs in the APIs, please look for a link to the individual API pages and reach out there. For a problem in this page, please add an issue or pull request to the GitHub repository.