Thread: Florida TA stations

Hi Han Byul,

One way to do this would be write a script that calls FetchData https://seiscode.iris.washington.edu/projects/ws-fetch-scripts/wiki in a loop (download FetchData here https://seiscode.iris.washington.edu/projects/ws-fetch-scripts/files). Each iteration of the loop would call FetchData to make a data select web service http://service.iris.edu/fdsnws/dataselect/1/ call based on query arguments read from a text file (for example), and write any returned data to a separate file.

Alternatively, if you are using the ObsPy https://github.com/obspy/obspy Python package then you can read large amounts of data in chunks. For example:

import obspy
import io

reclen = 512
chunksize = 100000 * reclen # Around 50 MB

with io.open("./TMDB.TM.mseed", "rb") as fh:
while True:
with io.BytesIO() as buf:
c = fh.read(chunksize)
if not c:
break
buf.write(c)
buf.seek(0, 0)
st = obspy.read(buf)
# Do something useful!
print(st)

This approach could eliminate the need to break up your request all together. ObsPy also has clients https://docs.obspy.org/packages/obspy.clients.fdsn.html for making web service requests that could be used as a Python alternative to calling FetchData.

Thanks,

Nick
--
Nick Falco
Web & Apps Developer
IRIS Data Management Center
nick<at>iris.washington.edu

On Aug 1, 2018, at 12:43 PM, Woo,Han Byul <hbwoo<at>ufl.edu> wrote:

Dear IRIS data requesting support representative,

I am a student at University of Florida, and I have an inquiry about requesting data. I have tried using the BREQ_FAST request form to download the Florida TA stations data. However, each files are too large for me to read with python, and using BREQ_FAST to request short period data for each stations will take me to do over 120 requests. Is there a way I can send a request with a single text file including all the stations with certain time period information, so I can download them in separate files? Thank you for your help in advance.

Sincerely,
Han Byul

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