Datasets:
Tasks:
Time Series Forecasting
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
data dict |
|---|
{
"date_end": "2016-07-02 00:00:00",
"date_forecast_end": "2016-07-03 00:00:00",
"date_forecast_start": "2016-07-02 00:00:00",
"date_start": "2016-07-01 00:00:00",
"dt": 60,
"flare_hist": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... |
{
"date_end": "1997-03-16 00:00:00",
"date_forecast_end": "1997-03-17 00:00:00",
"date_forecast_start": "1997-03-16 00:00:00",
"date_start": "1997-03-15 00:00:00",
"dt": 60,
"flare_hist": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... |
{
"date_end": "2021-08-10 00:00:00",
"date_forecast_end": "2021-08-11 00:00:00",
"date_forecast_start": "2021-08-10 00:00:00",
"date_start": "2021-08-09 00:00:00",
"dt": 60,
"flare_hist": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... |
{
"date_end": "2006-07-01 00:00:00",
"date_forecast_end": "2006-07-02 00:00:00",
"date_forecast_start": "2006-07-01 00:00:00",
"date_start": "2006-06-30 00:00:00",
"dt": 60,
"flare_hist": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... |
{
"date_end": "2021-05-31 00:00:00",
"date_forecast_end": "2021-06-01 00:00:00",
"date_forecast_start": "2021-05-31 00:00:00",
"date_start": "2021-05-30 00:00:00",
"dt": 60,
"flare_hist": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... |
{
"date_end": "2020-05-15 00:00:00",
"date_forecast_end": "2020-05-16 00:00:00",
"date_forecast_start": "2020-05-15 00:00:00",
"date_start": "2020-05-14 00:00:00",
"dt": 60,
"flare_hist": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... |
{"date_end":"2007-01-01 00:00:00","date_forecast_end":"2007-01-02 00:00:00","date_forecast_start":"2(...TRUNCATED) |
{"date_end":"2003-08-09 00:00:00","date_forecast_end":"2003-08-10 00:00:00","date_forecast_start":"2(...TRUNCATED) |
{"date_end":"2006-09-28 00:00:00","date_forecast_end":"2006-09-29 00:00:00","date_forecast_start":"2(...TRUNCATED) |
{"date_end":"1997-03-21 00:00:00","date_forecast_end":"1997-03-22 00:00:00","date_forecast_start":"1(...TRUNCATED) |
End of preview. Expand in Data Studio
This dataset is intended to be used for training/testing solar flare forecasting models. It contains various data splits (in json format) of GOES XRS time series (1 min-cadence) for two variables:
- L2 flux/bkg ratio
- Flare binary history (0=no flare, 1=flare)
Splits labelled as "_24h" correspond to a time series length of 24h, while those labelled as "_12h" to a length of 12h.
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