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ERDDAP > info > awsS3NoaaGoes16

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     data   graph     files  public File Names from the AWS S3 noaa-goes16 Bucket    ?            M   background (external link) RSS Subscribe NOAA awsS3NoaaGoes16

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL infoUrl String https://registry.opendata.aws/noaa-goes/ (external link)
attribute NC_GLOBAL institution String NOAA
attribute NC_GLOBAL keywords String AWS, bucket, data, file, identifier, lastModified, modified, name, S3, size, time, title
attribute NC_GLOBAL license String There are no restrictions on the use of this data.

The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL sourceUrl String https://noaa-goes16.s3.us-east-1.amazonaws.com/ (external link)
attribute NC_GLOBAL summary String This dataset has file information from the AWS S3 noaa-goes16 bucket at https://noaa-goes16.s3.us-east-1.amazonaws.com/ . GOES satellites (GOES-16 & GOES-17) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric "triggers" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements.

Use ERDDAP's "files" system for this dataset to browse and download the files. The "files" information for this dataset is always perfectly up-to-date because ERDDAP gets it on-the-fly. AWS S3 doesn't offer a simple way to browser the files in buckets. This dataset is a solution to that problem for this bucket.
attribute NC_GLOBAL title String File Names from the AWS S3 noaa-goes16 Bucket
variable url   String  
attribute url ioos_category String Identifier
attribute url long_name String URL
variable name   String  
attribute name ioos_category String Identifier
attribute name long_name String File Name
variable lastModified   double  
attribute lastModified ioos_category String Time
attribute lastModified long_name String Last Modified
attribute lastModified time_origin String 01-JAN-1970 00:00:00
attribute lastModified units String seconds since 1970-01-01T00:00:00Z
variable size   double  
attribute size ioos_category String Other
attribute size long_name String Size
attribute size units String bytes
variable fileType   String  
attribute fileType ioos_category String Identifier
attribute fileType long_name String File Type

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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