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Dataset Title: | File Names from the AWS S3 noaa-goes16 Bucket
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Institution: | NOAA (Dataset ID: awsS3NoaaGoes16) |
Information: | Summary ![]() ![]() ![]() |
Attributes { s { url { String ioos_category "Identifier"; String long_name "URL"; } name { String ioos_category "Identifier"; String long_name "File Name"; } lastModified { String ioos_category "Time"; String long_name "Last Modified"; String time_origin "01-JAN-1970 00:00:00"; String units "seconds since 1970-01-01T00:00:00Z"; } size { String ioos_category "Other"; String long_name "Size"; String units "bytes"; } fileType { String ioos_category "Identifier"; String long_name "File Type"; } } NC_GLOBAL { String cdm_data_type "Other"; String history "2025-03-26T09:48:59Z https://noaa-goes16.s3.us-east-1.amazonaws.com/ 2025-03-26T09:48:59Z http://upwell.pfeg.noaa.gov/erddap/tabledap/awsS3NoaaGoes16.html"; String infoUrl "https://registry.opendata.aws/noaa-goes/"; String institution "NOAA"; String keywords "AWS, bucket, data, file, identifier, lastModified, modified, name, S3, size, time, title"; String license "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."; String sourceUrl "https://noaa-goes16.s3.us-east-1.amazonaws.com/"; String summary "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."; String title "File Names from the AWS S3 noaa-goes16 Bucket"; } }
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
Tabledap request URLs must be in the form
https://upwell.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://upwell.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.