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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 18 new columns ({'PM2.5', 'WSPM', 'day', 'NO2', 'PRES', 'No', 'CO', 'wd', 'station', 'RAIN', 'year', 'TEMP', 'month', 'SO2', 'O3', 'PM10', 'DEWP', 'hour'}) and 29 missing columns ({'RH_9', 'RH_3', 'T8', 'Appliances', 'Visibility', 'RH_1', 'T_out', 'RH_6', 'T4', 'RH_out', 'RH_8', 'date', 'rv1', 'T1', 'T7', 'RH_2', 'Windspeed', 'Tdewpoint', 'Press_mm_hg', 'rv2', 'T2', 'RH_5', 'RH_7', 'T5', 'lights', 'RH_4', 'T6', 'T3', 'T9'}).
This happened while the csv dataset builder was generating data using
hf://datasets/soizhiwen/time-series/BeijingAirQuality/PRSA_Data_Aotizhongxin_20130301-20170228.csv (at revision ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98), [/tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/AppliancesEnergy.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/AppliancesEnergy.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Aotizhongxin_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Aotizhongxin_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Changping_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Changping_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dingling_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dingling_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dongsi_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dongsi_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Guanyuan_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Guanyuan_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Gucheng_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Gucheng_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Huairou_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Huairou_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Nongzhanguan_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Nongzhanguan_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Shunyi_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Shunyi_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Tiantan_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Tiantan_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanliu_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanliu_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanshouxigong_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanshouxigong_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/MetroTraffic.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/MetroTraffic.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/PanamaEnergy.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/PanamaEnergy.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/RossmanSales.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/RossmanSales.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
No: int64
year: int64
month: int64
day: int64
hour: int64
PM2.5: double
PM10: double
SO2: double
NO2: double
CO: double
O3: double
TEMP: double
PRES: double
DEWP: double
RAIN: double
wd: string
WSPM: double
station: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2191
to
{'date': Value('string'), 'Appliances': Value('int64'), 'lights': Value('int64'), 'T1': Value('float64'), 'RH_1': Value('float64'), 'T2': Value('float64'), 'RH_2': Value('float64'), 'T3': Value('float64'), 'RH_3': Value('float64'), 'T4': Value('float64'), 'RH_4': Value('float64'), 'T5': Value('float64'), 'RH_5': Value('float64'), 'T6': Value('float64'), 'RH_6': Value('float64'), 'T7': Value('float64'), 'RH_7': Value('float64'), 'T8': Value('float64'), 'RH_8': Value('float64'), 'T9': Value('float64'), 'RH_9': Value('float64'), 'T_out': Value('float64'), 'Press_mm_hg': Value('float64'), 'RH_out': Value('float64'), 'Windspeed': Value('float64'), 'Visibility': Value('float64'), 'Tdewpoint': Value('float64'), 'rv1': Value('float64'), 'rv2': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 18 new columns ({'PM2.5', 'WSPM', 'day', 'NO2', 'PRES', 'No', 'CO', 'wd', 'station', 'RAIN', 'year', 'TEMP', 'month', 'SO2', 'O3', 'PM10', 'DEWP', 'hour'}) and 29 missing columns ({'RH_9', 'RH_3', 'T8', 'Appliances', 'Visibility', 'RH_1', 'T_out', 'RH_6', 'T4', 'RH_out', 'RH_8', 'date', 'rv1', 'T1', 'T7', 'RH_2', 'Windspeed', 'Tdewpoint', 'Press_mm_hg', 'rv2', 'T2', 'RH_5', 'RH_7', 'T5', 'lights', 'RH_4', 'T6', 'T3', 'T9'}).
This happened while the csv dataset builder was generating data using
hf://datasets/soizhiwen/time-series/BeijingAirQuality/PRSA_Data_Aotizhongxin_20130301-20170228.csv (at revision ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98), [/tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/AppliancesEnergy.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/AppliancesEnergy.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Aotizhongxin_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Aotizhongxin_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Changping_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Changping_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dingling_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dingling_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dongsi_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Dongsi_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Guanyuan_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Guanyuan_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Gucheng_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Gucheng_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Huairou_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Huairou_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Nongzhanguan_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Nongzhanguan_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Shunyi_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Shunyi_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Tiantan_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Tiantan_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanliu_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanliu_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanshouxigong_20130301-20170228.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/BeijingAirQuality/PRSA_Data_Wanshouxigong_20130301-20170228.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/MetroTraffic.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/MetroTraffic.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/PanamaEnergy.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/PanamaEnergy.csv), /tmp/hf-datasets-cache/medium/datasets/98217980154458-config-parquet-and-info-soizhiwen-time-series-21988ab1/hub/datasets--soizhiwen--time-series/snapshots/ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/RossmanSales.csv (origin=hf://datasets/soizhiwen/time-series@ec8d03a7401c1c5b03ecd66d9f1f6d7b4c6c4a98/RossmanSales.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
date string | Appliances int64 | lights int64 | T1 float64 | RH_1 float64 | T2 float64 | RH_2 float64 | T3 float64 | RH_3 float64 | T4 float64 | RH_4 float64 | T5 float64 | RH_5 float64 | T6 float64 | RH_6 float64 | T7 float64 | RH_7 float64 | T8 float64 | RH_8 float64 | T9 float64 | RH_9 float64 | T_out float64 | Press_mm_hg float64 | RH_out float64 | Windspeed float64 | Visibility float64 | Tdewpoint float64 | rv1 float64 | rv2 float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2016-01-11 17:00:00 | 60 | 30 | 19.89 | 47.596667 | 19.2 | 44.79 | 19.79 | 44.73 | 19 | 45.566667 | 17.166667 | 55.2 | 7.026667 | 84.256667 | 17.2 | 41.626667 | 18.2 | 48.9 | 17.033333 | 45.53 | 6.6 | 733.5 | 92 | 7 | 63 | 5.3 | 13.275433 | 13.275433 |
2016-01-11 17:10:00 | 60 | 30 | 19.89 | 46.693333 | 19.2 | 44.7225 | 19.79 | 44.79 | 19 | 45.9925 | 17.166667 | 55.2 | 6.833333 | 84.063333 | 17.2 | 41.56 | 18.2 | 48.863333 | 17.066667 | 45.56 | 6.483333 | 733.6 | 92 | 6.666667 | 59.166667 | 5.2 | 18.606195 | 18.606195 |
2016-01-11 17:20:00 | 50 | 30 | 19.89 | 46.3 | 19.2 | 44.626667 | 19.79 | 44.933333 | 18.926667 | 45.89 | 17.166667 | 55.09 | 6.56 | 83.156667 | 17.2 | 41.433333 | 18.2 | 48.73 | 17 | 45.5 | 6.366667 | 733.7 | 92 | 6.333333 | 55.333333 | 5.1 | 28.642668 | 28.642668 |
2016-01-11 17:30:00 | 50 | 40 | 19.89 | 46.066667 | 19.2 | 44.59 | 19.79 | 45 | 18.89 | 45.723333 | 17.166667 | 55.09 | 6.433333 | 83.423333 | 17.133333 | 41.29 | 18.1 | 48.59 | 17 | 45.4 | 6.25 | 733.8 | 92 | 6 | 51.5 | 5 | 45.410389 | 45.410389 |
2016-01-11 17:40:00 | 60 | 40 | 19.89 | 46.333333 | 19.2 | 44.53 | 19.79 | 45 | 18.89 | 45.53 | 17.2 | 55.09 | 6.366667 | 84.893333 | 17.2 | 41.23 | 18.1 | 48.59 | 17 | 45.4 | 6.133333 | 733.9 | 92 | 5.666667 | 47.666667 | 4.9 | 10.084097 | 10.084097 |
2016-01-11 17:50:00 | 50 | 40 | 19.89 | 46.026667 | 19.2 | 44.5 | 19.79 | 44.933333 | 18.89 | 45.73 | 17.133333 | 55.03 | 6.3 | 85.766667 | 17.133333 | 41.26 | 18.1 | 48.59 | 17 | 45.29 | 6.016667 | 734 | 92 | 5.333333 | 43.833333 | 4.8 | 44.919484 | 44.919484 |
2016-01-11 18:00:00 | 60 | 50 | 19.89 | 45.766667 | 19.2 | 44.5 | 19.79 | 44.9 | 18.89 | 45.79 | 17.1 | 54.966667 | 6.263333 | 86.09 | 17.133333 | 41.2 | 18.1 | 48.59 | 17 | 45.29 | 5.9 | 734.1 | 92 | 5 | 40 | 4.7 | 47.233763 | 47.233763 |
2016-01-11 18:10:00 | 60 | 50 | 19.856667 | 45.56 | 19.2 | 44.5 | 19.73 | 44.9 | 18.89 | 45.863333 | 17.1 | 54.9 | 6.19 | 86.423333 | 17.1 | 41.2 | 18.1 | 48.59 | 17 | 45.29 | 5.916667 | 734.166667 | 91.833333 | 5.166667 | 40 | 4.683333 | 33.03989 | 33.03989 |
2016-01-11 18:20:00 | 60 | 40 | 19.79 | 45.5975 | 19.2 | 44.433333 | 19.73 | 44.79 | 18.89 | 45.79 | 17.166667 | 55 | 6.123333 | 87.226667 | 17.166667 | 41.4 | 18.1 | 48.59 | 17 | 45.29 | 5.933333 | 734.233333 | 91.666667 | 5.333333 | 40 | 4.666667 | 31.455702 | 31.455702 |
2016-01-11 18:30:00 | 70 | 40 | 19.856667 | 46.09 | 19.23 | 44.4 | 19.79 | 44.863333 | 18.89 | 46.096667 | 17.1 | 55 | 6.19 | 87.626667 | 17.2 | 41.5 | 18.1 | 48.59 | 17 | 45.29 | 5.95 | 734.3 | 91.5 | 5.5 | 40 | 4.65 | 3.089314 | 3.089314 |
2016-01-11 18:40:00 | 230 | 70 | 19.926667 | 45.863333 | 19.356667 | 44.4 | 19.79 | 44.9 | 18.89 | 46.43 | 17.1 | 55 | 6.19 | 87.866667 | 17.2475 | 42.7175 | 18.1 | 48.59 | 17 | 45.29 | 5.966667 | 734.366667 | 91.333333 | 5.666667 | 40 | 4.633333 | 10.298729 | 10.298729 |
2016-01-11 18:50:00 | 580 | 60 | 20.066667 | 46.396667 | 19.426667 | 44.4 | 19.79 | 44.826667 | 19 | 46.43 | 17.1 | 55 | 6.123333 | 87.993333 | 17.53 | 44.263333 | 18.066667 | 48.633333 | 16.89 | 45.29 | 5.983333 | 734.433333 | 91.166667 | 5.833333 | 40 | 4.616667 | 8.827838 | 8.827838 |
2016-01-11 19:00:00 | 430 | 50 | 20.133333 | 48 | 19.566667 | 44.4 | 19.89 | 44.9 | 19 | 46.363333 | 17.1 | 55.09 | 6.123333 | 88.59 | 17.823333 | 45.493333 | 18.066667 | 48.56 | 16.963333 | 45.29 | 6 | 734.5 | 91 | 6 | 40 | 4.6 | 34.351142 | 34.351142 |
2016-01-11 19:10:00 | 250 | 40 | 20.26 | 52.726667 | 19.73 | 45.1 | 19.89 | 45.493333 | 19 | 47.223333 | 17.1 | 55.163333 | 6.0675 | 88.215 | 17.963333 | 46.16 | 18.033333 | 48.666667 | 16.89 | 45.326667 | 6 | 734.616667 | 90.5 | 6 | 40 | 4.516667 | 19.205186 | 19.205186 |
2016-01-11 19:20:00 | 100 | 10 | 20.426667 | 55.893333 | 19.856667 | 45.833333 | 20.033333 | 47.526667 | 19 | 48.696667 | 17.1 | 55.5 | 5.9 | 88.156667 | 17.963333 | 45.533333 | 18.1 | 49.193333 | 16.89 | 45.345 | 6 | 734.733333 | 90 | 6 | 40 | 4.433333 | 38.492071 | 38.492071 |
2016-01-11 19:30:00 | 100 | 10 | 20.566667 | 53.893333 | 20.033333 | 46.756667 | 20.1 | 48.466667 | 19 | 48.49 | 17.15 | 56.0425 | 5.8 | 88.366667 | 17.89 | 44.926667 | 18.15 | 49.2 | 16.89 | 45.326667 | 6 | 734.85 | 89.5 | 6 | 40 | 4.35 | 24.884962 | 24.884962 |
2016-01-11 19:40:00 | 90 | 10 | 20.73 | 52.66 | 20.166667 | 47.223333 | 20.2 | 48.53 | 18.926667 | 48.156667 | 17.166667 | 56.49 | 5.726667 | 88.16 | 17.76 | 44.266667 | 18.23 | 49.633333 | 16.89 | 45.29 | 6 | 734.966667 | 89 | 6 | 40 | 4.266667 | 35.880925 | 35.880925 |
2016-01-11 19:50:00 | 70 | 30 | 20.856667 | 53.66 | 20.2 | 47.056667 | 20.2 | 48.4475 | 18.89 | 47.963333 | 17.2 | 56.933333 | 5.526667 | 87.3 | 17.7 | 43.726667 | 18.356667 | 50.026667 | 16.89 | 45.29 | 6 | 735.083333 | 88.5 | 6 | 40 | 4.183333 | 49.595305 | 49.595305 |
2016-01-11 20:00:00 | 80 | 30 | 20.89 | 51.193333 | 20.2 | 46.33 | 20.2 | 48.193333 | 18.963333 | 48.63 | 17.2 | 57.06 | 5.333333 | 86.76 | 17.666667 | 43.16 | 18.533333 | 50.2 | 16.89 | 45.2 | 6 | 735.2 | 88 | 6 | 40 | 4.1 | 19.001759 | 19.001759 |
2016-01-11 20:10:00 | 140 | 40 | 20.89 | 49.8 | 20.2 | 46.026667 | 20.166667 | 47.633333 | 19.033333 | 49.5 | 17.593333 | 70.726667 | 5.333333 | 87.463333 | 17.6 | 42.693333 | 18.666667 | 50.26 | 16.89 | 45.2 | 6 | 735.233333 | 87.833333 | 6 | 40 | 4.066667 | 38.872261 | 38.872261 |
2016-01-11 20:20:00 | 120 | 20 | 20.89 | 48.433333 | 20.2 | 45.7225 | 20.166667 | 47.3 | 19.175 | 49.9475 | 18.066667 | 79 | 5.466667 | 87.53 | 17.6 | 42.333333 | 18.73 | 50.23 | 16.89 | 45.126667 | 6 | 735.266667 | 87.666667 | 6 | 40 | 4.033333 | 46.735262 | 46.735262 |
2016-01-11 20:30:00 | 190 | 40 | 20.963333 | 47.633333 | 20.26 | 45.53 | 20.2 | 47.026667 | 19.26 | 49.696667 | 17.666667 | 79.73 | 5.5 | 86.956667 | 17.533333 | 42.066667 | 18.856667 | 50.29 | 16.89 | 45.126667 | 6 | 735.3 | 87.5 | 6 | 40 | 4 | 10.607126 | 10.607126 |
2016-01-11 20:40:00 | 110 | 40 | 21.033333 | 47.063333 | 20.29 | 45.223333 | 20.26 | 46.826667 | 19.323333 | 49.166667 | 17.6 | 79.256667 | 5.56 | 86.563333 | 17.633333 | 43.633333 | 18.89 | 50.163333 | 16.89 | 45.06 | 6 | 735.333333 | 87.333333 | 6 | 40 | 3.966667 | 32.583688 | 32.583688 |
2016-01-11 20:50:00 | 110 | 40 | 21.1 | 46.596667 | 20.356667 | 44.963333 | 20.29 | 46.633333 | 19.39 | 48.426667 | 17.566667 | 78.393333 | 5.623333 | 86.33 | 17.76 | 43.633333 | 18.963333 | 50.03 | 16.89 | 45 | 6 | 735.366667 | 87.166667 | 6 | 40 | 3.933333 | 6.277755 | 6.277755 |
2016-01-11 21:00:00 | 110 | 30 | 21.133333 | 46.06 | 20.426667 | 44.76 | 20.29 | 46.433333 | 19.39 | 48.193333 | 17.76 | 82.46 | 5.763333 | 86.063333 | 17.856667 | 43.46 | 19 | 49.76 | 16.89 | 44.966667 | 6 | 735.4 | 87 | 6 | 40 | 3.9 | 13.361033 | 13.361033 |
2016-01-11 21:10:00 | 110 | 20 | 21.2 | 45.8 | 20.5 | 44.76 | 20.39 | 46.223333 | 19.39 | 47.8 | 18.356667 | 82.59 | 5.656667 | 85.59 | 17.79 | 43.4 | 19.066667 | 49.7 | 16.89 | 44.9 | 5.933333 | 735.466667 | 87.166667 | 6 | 40 | 3.866667 | 19.305705 | 19.305705 |
2016-01-11 21:20:00 | 100 | 30 | 21.29 | 45.9 | 20.533333 | 45.09 | 20.39 | 46.09 | 19.39 | 47.56 | 18.356667 | 70.99 | 5.53 | 85.73 | 17.89 | 43.79 | 19.133333 | 49.633333 | 16.89 | 44.79 | 5.866667 | 735.533333 | 87.333333 | 6 | 40 | 3.833333 | 0.669517 | 0.669517 |
2016-01-11 21:30:00 | 100 | 20 | 21.356667 | 45.826667 | 20.666667 | 45.163333 | 20.39 | 46.09 | 19.39 | 47.5 | 18.6 | 62.43 | 5.433333 | 86.326667 | 17.89 | 43.79 | 19.2 | 49.433333 | 16.89 | 44.79 | 5.8 | 735.6 | 87.5 | 6 | 40 | 3.8 | 19.119398 | 19.119398 |
2016-01-11 21:40:00 | 100 | 20 | 21.39 | 45.69 | 20.7 | 45.06 | 20.39 | 46.09 | 19.426667 | 47.993333 | 18.666667 | 59.03 | 5.5 | 86.6 | 17.89 | 43.7 | 19.23 | 49.4 | 16.89 | 44.7 | 5.733333 | 735.666667 | 87.666667 | 6 | 40 | 3.766667 | 43.484542 | 43.484542 |
2016-01-11 21:50:00 | 100 | 20 | 21.5 | 45.333333 | 20.7 | 44.933333 | 20.39 | 46.06 | 19.566667 | 48.466667 | 18.823333 | 56.726667 | 5.59 | 86.466667 | 17.865 | 43.57 | 19.29 | 49.326667 | 16.89 | 44.7 | 5.666667 | 735.733333 | 87.833333 | 6 | 40 | 3.733333 | 17.01745 | 17.01745 |
2016-01-11 22:00:00 | 110 | 20 | 21.5 | 45.126667 | 20.79 | 44.633333 | 20.39 | 46 | 19.666667 | 48.093333 | 18.963333 | 55.333333 | 5.59 | 86.325 | 17.79 | 43.4 | 19.29 | 49.163333 | 16.823333 | 44.59 | 5.6 | 735.8 | 88 | 6 | 40 | 3.7 | 24.104006 | 24.104006 |
2016-01-11 22:10:00 | 400 | 20 | 21.533333 | 44.966667 | 20.79 | 44.36 | 20.426667 | 45.933333 | 19.6 | 47.5 | 19.033333 | 54.093333 | 5.656667 | 86.226667 | 17.79 | 43.223333 | 19.356667 | 49.03 | 16.823333 | 44.53 | 5.65 | 735.883333 | 87.833333 | 6.166667 | 40 | 3.716667 | 29.978291 | 29.978291 |
2016-01-11 22:20:00 | 400 | 20 | 21.6 | 44.766667 | 20.89 | 44.223333 | 20.5 | 45.933333 | 19.696667 | 47.626667 | 19.1 | 53.366667 | 5.833333 | 85.766667 | 17.79 | 43.03 | 19.39 | 48.863333 | 16.89 | 44.59 | 5.7 | 735.966667 | 87.666667 | 6.333333 | 40 | 3.733333 | 24.677065 | 24.677065 |
2016-01-11 22:30:00 | 390 | 30 | 21.6 | 44.56 | 20.963333 | 43.963333 | 20.5 | 45.79 | 20.096667 | 47.566667 | 19.158333 | 52.4725 | 5.9 | 85.033333 | 17.79 | 42.76 | 19.39 | 48.863333 | 16.89 | 44.5225 | 5.75 | 736.05 | 87.5 | 6.5 | 40 | 3.75 | 9.31088 | 9.31088 |
2016-01-11 22:40:00 | 240 | 20 | 21.6 | 44.36 | 21 | 43.833333 | 20.5 | 45.73 | 20.596667 | 47.223333 | 19.2 | 51.99 | 6 | 84.126667 | 17.79 | 42.626667 | 19.34 | 48.95 | 16.823333 | 44.433333 | 5.8 | 736.133333 | 87.333333 | 6.666667 | 40 | 3.766667 | 41.368666 | 41.368666 |
2016-01-11 22:50:00 | 60 | 20 | 21.6 | 44.2 | 21 | 43.7 | 20.5 | 45.59 | 20.996667 | 47.03 | 19.2225 | 51.52 | 6 | 84.06 | 17.7 | 42.626667 | 19.29 | 49.23 | 16.89 | 44.5 | 5.85 | 736.216667 | 87.166667 | 6.833333 | 40 | 3.783333 | 33.423337 | 33.423337 |
2016-01-11 23:00:00 | 60 | 20 | 21.6 | 44.2 | 21 | 43.59 | 20.4175 | 45.545 | 21.166667 | 46.526667 | 19.29 | 51.23 | 5.966667 | 84.79 | 17.7 | 42.76 | 19.356667 | 49.43 | 16.89 | 44.5 | 5.9 | 736.3 | 87 | 7 | 40 | 3.8 | 39.711993 | 39.711993 |
2016-01-11 23:10:00 | 60 | 20 | 21.6 | 44.2 | 21 | 43.59 | 20.39 | 45.663333 | 21.033333 | 46.4 | 19.29 | 51.06 | 5.9 | 85.596667 | 17.7 | 43.03 | 19.39 | 49.89 | 16.89 | 45.066667 | 5.8 | 736.4 | 87.833333 | 6.833333 | 37 | 3.85 | 5.397181 | 5.397181 |
2016-01-11 23:20:00 | 50 | 10 | 21.6 | 44.2 | 21 | 43.7 | 20.29 | 45.73 | 20.963333 | 46.433333 | 19.29 | 50.933333 | 5.763333 | 86.26 | 17.7 | 43.163333 | 19.39 | 50.163333 | 16.89 | 45.26 | 5.7 | 736.5 | 88.666667 | 6.666667 | 34 | 3.9 | 36.185547 | 36.185547 |
2016-01-11 23:30:00 | 70 | 20 | 21.5 | 44.23 | 20.926667 | 43.76 | 20.29 | 45.79 | 20.865 | 46.5675 | 19.29 | 50.863333 | 5.623333 | 86.593333 | 17.7 | 43.4 | 19.39 | 50.463333 | 16.89 | 45.433333 | 5.6 | 736.6 | 89.5 | 6.5 | 31 | 3.95 | 20.563721 | 20.563721 |
2016-01-11 23:40:00 | 60 | 20 | 21.5 | 44.363333 | 20.89 | 43.845 | 20.29 | 45.79 | 20.73 | 46.59 | 19.29 | 50.79 | 5.59 | 87.496667 | 17.7 | 43.466667 | 19.39 | 50.723333 | 16.89 | 45.56 | 5.5 | 736.7 | 90.333333 | 6.333333 | 28 | 4 | 41.047315 | 41.047315 |
2016-01-11 23:50:00 | 40 | 20 | 21.39 | 44.433333 | 20.79 | 43.79 | 20.23 | 45.656667 | 20.7 | 46.79 | 19.2 | 50.663333 | 5.59 | 87.896667 | 17.7 | 43.626667 | 19.39 | 50.963333 | 16.89 | 45.626667 | 5.4 | 736.8 | 91.166667 | 6.166667 | 25 | 4.05 | 32.35301 | 32.35301 |
2016-01-12 00:00:00 | 40 | 10 | 21.39 | 44.56 | 20.79 | 43.863333 | 20.2 | 45.663333 | 20.633333 | 46.79 | 19.2 | 50.53 | 5.59 | 88.633333 | 17.7 | 43.76 | 19.39 | 51.163333 | 16.89 | 45.7 | 5.3 | 736.9 | 92 | 6 | 22 | 4.1 | 39.146638 | 39.146638 |
2016-01-12 00:10:00 | 30 | 20 | 21.29 | 44.826667 | 20.7 | 44 | 20.2 | 45.59 | 20.566667 | 46.933333 | 19.2 | 50.5 | 5.53 | 89.026667 | 17.7 | 43.933333 | 19.463333 | 51.5 | 16.89 | 45.79 | 5.266667 | 737 | 92 | 6 | 25 | 4.066667 | 27.651816 | 27.651816 |
2016-01-12 00:20:00 | 40 | 20 | 21.29 | 44.966667 | 20.633333 | 44 | 20.166667 | 45.5 | 20.5 | 47.133333 | 19.2 | 50.433333 | 5.53 | 89.4 | 17.76 | 44.333333 | 19.39 | 51.56 | 16.89 | 45.863333 | 5.233333 | 737.1 | 92 | 6 | 28 | 4.033333 | 26.485979 | 26.485979 |
2016-01-12 00:30:00 | 50 | 20 | 21.26 | 45.09 | 20.6 | 44.03 | 20.1 | 45.5 | 20.5 | 47.23 | 19.166667 | 50.363333 | 5.53 | 89.193333 | 17.79 | 44.963333 | 19.39 | 51.86 | 16.89 | 45.9 | 5.2 | 737.2 | 92 | 6 | 31 | 4 | 39.467812 | 39.467812 |
2016-01-12 00:40:00 | 310 | 10 | 21.2 | 45.09 | 20.6 | 44.09 | 20.1 | 45.5 | 20.426667 | 47.23 | 19.1 | 50.29 | 5.4 | 89.4 | 17.79 | 45.223333 | 19.39 | 52 | 16.89 | 45.966667 | 5.166667 | 737.3 | 92 | 6 | 34 | 3.966667 | 1.16656 | 1.16656 |
2016-01-12 00:50:00 | 380 | 20 | 21.166667 | 45.23 | 20.5 | 44.126667 | 20.1 | 45.5 | 20.46 | 47.36 | 19.066667 | 50.26 | 5.2 | 88.99 | 17.79 | 45.326667 | 19.356667 | 52.09 | 16.89 | 46.03 | 5.133333 | 737.4 | 92 | 6 | 37 | 3.933333 | 23.861503 | 23.861503 |
2016-01-12 01:00:00 | 380 | 20 | 21.075 | 45.3725 | 20.5 | 44.2 | 20.1 | 45.53 | 20.793333 | 47.56 | 19 | 50.126667 | 4.866667 | 89.063333 | 17.79 | 45.425 | 19.29 | 52.163333 | 16.89 | 46.09 | 5.1 | 737.5 | 92 | 6 | 40 | 3.9 | 36.615687 | 36.615687 |
2016-01-12 01:10:00 | 370 | 20 | 21 | 45.4 | 20.39 | 44.2 | 20.1 | 45.59 | 21.263333 | 47.466667 | 19 | 50.09 | 4.933333 | 91.16 | 17.79 | 45.56 | 19.29 | 52.5 | 16.89 | 46.2 | 5.116667 | 737.633333 | 92 | 5.833333 | 40 | 3.916667 | 34.636578 | 34.636578 |
2016-01-12 01:20:00 | 120 | 10 | 21 | 45.59 | 20.39 | 44.26 | 20.1 | 45.59 | 21.596667 | 47.4 | 19 | 50.03 | 5 | 91.433333 | 17.79 | 45.73 | 19.23 | 52.9 | 16.89 | 46.2 | 5.133333 | 737.766667 | 92 | 5.666667 | 40 | 3.933333 | 23.880981 | 23.880981 |
2016-01-12 01:30:00 | 50 | 0 | 20.926667 | 45.59 | 20.29 | 44.29 | 20.166667 | 45.53 | 21.89 | 46.966667 | 19 | 50.03 | 4.866667 | 91.26 | 17.79 | 45.863333 | 19.29 | 53.5 | 16.89 | 46.29 | 5.15 | 737.9 | 92 | 5.5 | 40 | 3.95 | 43.060474 | 43.060474 |
2016-01-12 01:40:00 | 40 | 0 | 20.89 | 45.666667 | 20.23 | 44.29 | 20.133333 | 45.5 | 21.823333 | 46.226667 | 18.926667 | 50.09 | 4.726667 | 91.593333 | 17.79 | 45.826667 | 19.29 | 53.96 | 16.89 | 46.433333 | 5.166667 | 738.033333 | 92 | 5.333333 | 40 | 3.966667 | 21.904855 | 21.904855 |
2016-01-12 01:50:00 | 50 | 0 | 20.89 | 46.06 | 20.2 | 44.4 | 20.2 | 45.5 | 21.666667 | 46.06 | 18.89 | 50.09 | 4.466667 | 91.76 | 17.79 | 45.966667 | 19.29 | 54.463333 | 16.89 | 46.633333 | 5.183333 | 738.166667 | 92 | 5.166667 | 40 | 3.983333 | 12.239864 | 12.239864 |
2016-01-12 02:00:00 | 40 | 0 | 20.79 | 46.2 | 20.2 | 44.466667 | 20.166667 | 45.5 | 21.533333 | 45.933333 | 18.89 | 50.1725 | 4.333333 | 91.76 | 17.79 | 46 | 19.2225 | 54.7225 | 16.89 | 46.826667 | 5.2 | 738.3 | 92 | 5 | 40 | 4 | 3.533952 | 3.533952 |
2016-01-12 02:10:00 | 50 | 0 | 20.79 | 46.2 | 20.1 | 44.53 | 20.125 | 45.425 | 21.356667 | 45.9 | 18.89 | 50.2 | 4.156667 | 91.833333 | 17.79 | 46 | 19.2 | 54.966667 | 16.963333 | 46.966667 | 5.133333 | 738.4 | 92 | 4.833333 | 40 | 3.933333 | 4.973308 | 4.973308 |
2016-01-12 02:20:00 | 50 | 0 | 20.7 | 46.26 | 20.1 | 44.59 | 20.133333 | 45.4 | 21.23 | 45.9 | 18.79 | 50.09 | 4.156667 | 92.566667 | 17.89 | 46 | 19.2 | 54.966667 | 17 | 47.23 | 5.066667 | 738.5 | 92 | 4.666667 | 40 | 3.866667 | 15.813585 | 15.813585 |
2016-01-12 02:30:00 | 50 | 0 | 20.7 | 46.2 | 20 | 44.433333 | 20.2 | 45.5 | 21.066667 | 45.9 | 18.79 | 50.09 | 4.333333 | 93.53 | 17.89 | 46.06 | 19.2 | 54.9 | 17 | 47.363333 | 5 | 738.6 | 92 | 4.5 | 40 | 3.8 | 25.931713 | 25.931713 |
2016-01-12 02:40:00 | 40 | 0 | 20.6 | 46.2 | 20 | 44.5 | 20.2 | 45.5 | 20.926667 | 45.9 | 18.79 | 50.09 | 4.333333 | 93.323333 | 17.89 | 46.09 | 19.2 | 54.863333 | 17 | 47.53 | 4.933333 | 738.7 | 92 | 4.333333 | 40 | 3.733333 | 33.100254 | 33.100254 |
2016-01-12 02:50:00 | 40 | 0 | 20.6 | 46.126667 | 20 | 44.5 | 20.2 | 45.4 | 20.745 | 45.9 | 18.73 | 50.09 | 4.19 | 93.126667 | 17.823333 | 45.963333 | 19.133333 | 54.79 | 17 | 47.663333 | 4.866667 | 738.8 | 92 | 4.166667 | 40 | 3.666667 | 20.341509 | 20.341509 |
2016-01-12 03:00:00 | 30 | 0 | 20.566667 | 46.066667 | 19.89 | 44.59 | 20.2 | 45.4 | 20.666667 | 46 | 18.7 | 50.09 | 4.063333 | 92.866667 | 17.856667 | 45.966667 | 19.2 | 54.9 | 17 | 47.826667 | 4.8 | 738.9 | 92 | 4 | 40 | 3.6 | 45.643796 | 45.643796 |
2016-01-12 03:10:00 | 20 | 0 | 20.5 | 46.2 | 19.823333 | 44.53 | 20.29 | 45.466667 | 20.533333 | 46 | 18.7 | 50.09 | 3.863333 | 92.966667 | 17.856667 | 45.966667 | 19.2 | 54.966667 | 17 | 47.9 | 4.816667 | 739.016667 | 92.166667 | 4.333333 | 40 | 3.633333 | 14.680169 | 14.680169 |
2016-01-12 03:20:00 | 20 | 0 | 20.5 | 46.29 | 19.79 | 44.53 | 20.29 | 45.4 | 20.39 | 46.03 | 18.7 | 50.09 | 3.79 | 93.093333 | 17.89 | 46.2 | 19.2 | 55.09 | 17 | 48.03 | 4.833333 | 739.133333 | 92.333333 | 4.666667 | 40 | 3.666667 | 22.953286 | 22.953286 |
2016-01-12 03:30:00 | 40 | 0 | 20.426667 | 46.23 | 19.79 | 44.53 | 20.2 | 45.4 | 20.39 | 46.163333 | 18.633333 | 50.03 | 3.895 | 94.045 | 17.89 | 46.2 | 19.2 | 55.03 | 17 | 48.09 | 4.85 | 739.25 | 92.5 | 5 | 40 | 3.7 | 16.619734 | 16.619734 |
2016-01-12 03:40:00 | 50 | 0 | 20.39 | 46.29 | 19.76 | 44.59 | 20.2 | 45.4 | 20.29 | 46.2 | 18.6 | 50 | 4.19 | 94.656667 | 17.89 | 46.2 | 19.2 | 54.863333 | 17.066667 | 48.29 | 4.866667 | 739.366667 | 92.666667 | 5.333333 | 40 | 3.733333 | 32.543523 | 32.543523 |
2016-01-12 03:50:00 | 50 | 0 | 20.39 | 46.363333 | 19.7 | 44.59 | 20.2 | 45.5 | 20.23 | 46.26 | 18.6 | 50 | 4.263333 | 94.796667 | 17.89 | 46.126667 | 19.2 | 54.73 | 17.066667 | 48.363333 | 4.883333 | 739.483333 | 92.833333 | 5.666667 | 40 | 3.766667 | 12.900839 | 12.900839 |
2016-01-12 04:00:00 | 40 | 0 | 20.29 | 46.5 | 19.7 | 44.7 | 20.26 | 45.5 | 20.1 | 46.29 | 18.6 | 50 | 4.463333 | 95.03 | 17.89 | 46.09 | 19.1 | 54.56 | 17.033333 | 48.463333 | 4.9 | 739.6 | 93 | 6 | 40 | 3.8 | 23.927262 | 23.927262 |
2016-01-12 04:10:00 | 50 | 0 | 20.29 | 46.545 | 19.633333 | 44.626667 | 20.29 | 45.5 | 20.033333 | 46.29 | 18.533333 | 50 | 4.59 | 95.03 | 17.89 | 45.92 | 19.1 | 54.5 | 17.033333 | 48.59 | 4.916667 | 739.65 | 92.666667 | 5.833333 | 40 | 3.766667 | 38.315534 | 38.315534 |
2016-01-12 04:20:00 | 40 | 0 | 20.23 | 46.5 | 19.6 | 44.59 | 20.29 | 45.5 | 20 | 46.4 | 18.5 | 50 | 4.726667 | 94.866667 | 17.89 | 45.73 | 19.1 | 54.5 | 17.033333 | 48.766667 | 4.933333 | 739.7 | 92.333333 | 5.666667 | 40 | 3.733333 | 4.212346 | 4.212346 |
2016-01-12 04:30:00 | 40 | 0 | 20.2 | 46.433333 | 19.6 | 44.59 | 20.29 | 45.5 | 19.926667 | 46.466667 | 18.5 | 50 | 4.8 | 94.726667 | 17.89 | 45.7 | 19.1 | 54.5 | 17.033333 | 48.9 | 4.95 | 739.75 | 92 | 5.5 | 40 | 3.7 | 43.766067 | 43.766067 |
2016-01-12 04:40:00 | 40 | 0 | 20.2 | 46.56 | 19.566667 | 44.7 | 20.29 | 45.56 | 19.856667 | 46.466667 | 18.5 | 50 | 4.8 | 94.493333 | 17.89 | 45.7 | 19.1 | 54.4 | 17.1 | 49.045 | 4.966667 | 739.8 | 91.666667 | 5.333333 | 40 | 3.666667 | 16.953647 | 16.953647 |
2016-01-12 04:50:00 | 60 | 0 | 20.166667 | 46.363333 | 19.5 | 44.7 | 20.29 | 45.59 | 19.79 | 46.466667 | 18.5 | 50 | 4.8 | 94.226667 | 17.89 | 45.59 | 19.1 | 54.4 | 17.1 | 49.2 | 4.983333 | 739.85 | 91.333333 | 5.166667 | 40 | 3.633333 | 41.972018 | 41.972018 |
2016-01-12 05:00:00 | 50 | 0 | 20.1 | 46.363333 | 19.5 | 44.79 | 20.29 | 45.59 | 19.76 | 46.59 | 18.5 | 50 | 4.8 | 94.126667 | 17.89 | 45.663333 | 19.1 | 54.29 | 17.1 | 49.26 | 5 | 739.9 | 91 | 5 | 40 | 3.6 | 17.334174 | 17.334174 |
2016-01-12 05:10:00 | 50 | 0 | 20.1 | 46.5 | 19.426667 | 44.73 | 20.29 | 45.59 | 19.7 | 46.663333 | 18.4725 | 49.975 | 4.8 | 94 | 17.89 | 45.59 | 19.1 | 54.23 | 17.1 | 49.29 | 4.983333 | 739.966667 | 91.666667 | 4.833333 | 40 | 3.683333 | 16.688747 | 16.688747 |
2016-01-12 05:20:00 | 40 | 0 | 20.033333 | 46.36 | 19.39 | 44.73 | 20.29 | 45.59 | 19.666667 | 46.663333 | 18.39 | 49.9 | 4.763333 | 93.563333 | 17.89 | 45.59 | 19.05 | 54.045 | 17.1 | 49.363333 | 4.966667 | 740.033333 | 92.333333 | 4.666667 | 40 | 3.766667 | 23.817562 | 23.817562 |
2016-01-12 05:30:00 | 40 | 0 | 20 | 46.29 | 19.39 | 44.79 | 20.356667 | 45.59 | 19.6 | 46.59 | 18.39 | 49.9 | 4.763333 | 94.023333 | 17.89 | 45.626667 | 19 | 54 | 17.1 | 49.433333 | 4.95 | 740.1 | 93 | 4.5 | 40 | 3.85 | 44.609917 | 44.609917 |
2016-01-12 05:40:00 | 40 | 0 | 20 | 46.29 | 19.39 | 44.79 | 20.39 | 45.59 | 19.6 | 46.626667 | 18.39 | 49.9 | 4.833333 | 94.726667 | 17.89 | 45.626667 | 19.066667 | 54 | 17.1 | 49.56 | 4.933333 | 740.166667 | 93.666667 | 4.333333 | 40 | 3.933333 | 43.216974 | 43.216974 |
2016-01-12 05:50:00 | 40 | 0 | 20 | 46.23 | 19.39 | 44.79 | 20.323333 | 45.59 | 19.6 | 46.7 | 18.39 | 49.9 | 4.833333 | 95 | 17.89 | 45.59 | 19.1 | 53.9 | 17.1 | 49.626667 | 4.916667 | 740.233333 | 94.333333 | 4.166667 | 40 | 4.016667 | 19.499477 | 19.499477 |
2016-01-12 06:00:00 | 50 | 0 | 19.926667 | 46.23 | 19.29 | 44.9 | 20.323333 | 45.59 | 19.5 | 46.7 | 18.39 | 49.9 | 4.9 | 95.53 | 17.89 | 45.723333 | 19.033333 | 53.826667 | 17.1 | 49.7 | 4.9 | 740.3 | 95 | 4 | 40 | 4.1 | 38.866035 | 38.866035 |
2016-01-12 06:10:00 | 70 | 10 | 19.89 | 46.23 | 19.29 | 44.925 | 20.323333 | 45.59 | 19.5 | 46.7 | 18.356667 | 49.933333 | 4.9975 | 95.82 | 17.89 | 45.9 | 19 | 53.79 | 17.1 | 49.826667 | 4.933333 | 740.433333 | 94.666667 | 4.166667 | 38.166667 | 4.1 | 48.0309 | 48.0309 |
2016-01-12 06:20:00 | 40 | 0 | 19.89 | 46.43 | 19.29 | 45 | 20.29 | 45.59 | 19.426667 | 46.7 | 18.29 | 50 | 5.09 | 96.03 | 17.89 | 45.966667 | 19 | 53.79 | 17.1 | 49.966667 | 4.966667 | 740.566667 | 94.333333 | 4.333333 | 36.333333 | 4.1 | 21.732974 | 21.732974 |
2016-01-12 06:30:00 | 30 | 0 | 19.89 | 46.626667 | 19.29 | 45.126667 | 20.29 | 45.59 | 19.39 | 46.7 | 18.29 | 50.126667 | 5 | 95.9 | 17.89 | 45.9 | 19 | 53.76 | 17.133333 | 50 | 5 | 740.7 | 94 | 4.5 | 34.5 | 4.1 | 35.625734 | 35.625734 |
2016-01-12 06:40:00 | 20 | 10 | 19.89 | 46.7 | 19.218 | 45.2 | 20.29 | 45.5 | 19.39 | 46.7 | 18.29 | 50.2 | 5 | 95.966667 | 17.89 | 45.826667 | 19 | 53.7 | 17.2 | 50 | 5.033333 | 740.833333 | 93.666667 | 4.666667 | 32.666667 | 4.1 | 19.999718 | 19.999718 |
2016-01-12 06:50:00 | 30 | 0 | 19.89 | 46.863333 | 19.2 | 45.245 | 20.29 | 45.433333 | 19.29 | 46.79 | 18.29 | 50.23 | 4.966667 | 95.933333 | 17.89 | 45.7225 | 19 | 53.875 | 17.2 | 50 | 5.066667 | 740.966667 | 93.333333 | 4.833333 | 30.833333 | 4.1 | 16.267608 | 16.267608 |
2016-01-12 07:00:00 | 40 | 10 | 19.823333 | 46.863333 | 19.2 | 45.363333 | 20.2 | 45.29 | 19.29 | 46.79 | 18.29 | 50.29 | 4.9 | 95.933333 | 17.89 | 45.79 | 19 | 54 | 17.2 | 50 | 5.1 | 741.1 | 93 | 5 | 29 | 4.1 | 37.854357 | 37.854357 |
2016-01-12 07:10:00 | 50 | 10 | 19.856667 | 46.93 | 19.2 | 45.4 | 20.2 | 45.29 | 19.29 | 46.79 | 18.29 | 50.426667 | 4.933333 | 96.09 | 17.89 | 45.863333 | 19 | 54.06 | 17.2 | 50.09 | 5.1 | 741.216667 | 92.666667 | 5 | 30.833333 | 4.05 | 10.134613 | 10.134613 |
2016-01-12 07:20:00 | 60 | 20 | 19.79 | 46.79 | 19.2 | 45.326667 | 20.166667 | 45.29 | 19.29 | 46.596667 | 18.23 | 50.833333 | 4.933333 | 96.09 | 17.89 | 45.52 | 18.926667 | 53.8 | 17.2 | 49.963333 | 5.1 | 741.333333 | 92.333333 | 5 | 32.666667 | 4 | 35.556061 | 35.556061 |
2016-01-12 07:30:00 | 60 | 20 | 19.79 | 46.895 | 19.175 | 45.195 | 20.1 | 45.29 | 19.26 | 46.296667 | 18.2 | 51.266667 | 5 | 96.09 | 17.89 | 45.14 | 18.9725 | 53.15 | 17.2 | 49.723333 | 5.1 | 741.45 | 92 | 5 | 34.5 | 3.95 | 6.084596 | 6.084596 |
2016-01-12 07:40:00 | 70 | 20 | 19.79 | 47.426667 | 19.1 | 45.03 | 20.1 | 45.29 | 19.2 | 46.09 | 18.2 | 51.526667 | 5 | 96.09 | 17.856667 | 44.833333 | 18.89 | 52.8 | 17.2 | 49.463333 | 5.1 | 741.566667 | 91.666667 | 5 | 36.333333 | 3.9 | 12.274426 | 12.274426 |
2016-01-12 07:50:00 | 60 | 30 | 19.79 | 48.366667 | 19.1 | 45 | 20.1 | 45.29 | 19.166667 | 45.966667 | 18.1 | 51.826667 | 5 | 96.09 | 17.79 | 44.566667 | 18.856667 | 52.363333 | 17.15 | 48.995 | 5.1 | 741.683333 | 91.333333 | 5 | 38.166667 | 3.85 | 7.165219 | 7.165219 |
2016-01-12 08:00:00 | 140 | 20 | 19.79 | 48.666667 | 19.1 | 45 | 20.2 | 45.29 | 19.166667 | 45.9 | 18.1 | 51.966667 | 5.06 | 96.156667 | 17.79 | 44.326667 | 18.79 | 51.963333 | 17.1 | 48.633333 | 5.1 | 741.8 | 91 | 5 | 40 | 3.8 | 11.981471 | 11.981471 |
2016-01-12 08:10:00 | 110 | 30 | 19.79 | 48.533333 | 19.066667 | 45.06 | 20.133333 | 45.29 | 19.2 | 45.76 | 18.1 | 52.126667 | 5.09 | 96.026667 | 17.856667 | 44.66 | 18.79 | 51.633333 | 17.1 | 48.36 | 5.05 | 741.883333 | 91 | 5 | 40 | 3.733333 | 2.946719 | 2.946719 |
2016-01-12 08:20:00 | 90 | 10 | 19.89 | 50 | 19.022222 | 45.044444 | 20.15 | 45.245 | 19.2 | 45.626667 | 18.033333 | 52.2 | 5.09 | 95.76 | 18 | 45.063333 | 18.79 | 51.395 | 17.1 | 48.026667 | 5 | 741.966667 | 91 | 5 | 40 | 3.666667 | 32.114413 | 32.114413 |
2016-01-12 08:30:00 | 60 | 0 | 19.89 | 48.733333 | 19.1 | 45.2 | 20.1 | 45.2 | 19.1 | 45.526667 | 18.05 | 52.4 | 5 | 95.456667 | 18 | 44.456667 | 18.7 | 51.045 | 17.1 | 47.766667 | 4.95 | 742.05 | 91 | 5 | 40 | 3.6 | 43.813461 | 43.813461 |
2016-01-12 08:40:00 | 60 | 0 | 19.89 | 48.026667 | 19.033333 | 45.126667 | 20.1 | 45.2 | 19.1 | 45.4 | 18 | 52.5 | 4.793333 | 94.79 | 17.89 | 43.96 | 18.7 | 50.76 | 17.1 | 47.466667 | 4.9 | 742.133333 | 91 | 5 | 40 | 3.533333 | 38.945734 | 38.945734 |
2016-01-12 08:50:00 | 60 | 0 | 19.89 | 47.633333 | 19 | 45.09 | 20.1 | 45.2 | 19.1 | 45.363333 | 18 | 52.56 | 4.466667 | 94.193333 | 17.89 | 43.566667 | 18.7 | 50.645 | 17.033333 | 47.266667 | 4.85 | 742.216667 | 91 | 5 | 40 | 3.466667 | 39.865441 | 39.865441 |
2016-01-12 09:00:00 | 50 | 0 | 19.856667 | 47.063333 | 19 | 45.03 | 20.1 | 45.2 | 19.1 | 45.23 | 18 | 52.79 | 4.2975 | 94.45 | 17.856667 | 43.1 | 18.7 | 50.42 | 17 | 46.93 | 4.8 | 742.3 | 91 | 5 | 40 | 3.4 | 22.763723 | 22.763723 |
2016-01-12 09:10:00 | 60 | 0 | 19.79 | 46.656667 | 19 | 44.966667 | 20.1 | 45.163333 | 19.1 | 45.09 | 17.926667 | 52.79 | 4.063333 | 94.193333 | 17.79 | 42.766667 | 18.633333 | 50.156667 | 17.066667 | 46.79 | 4.883333 | 742.383333 | 91 | 5 | 38.166667 | 3.483333 | 20.504204 | 20.504204 |
2016-01-12 09:20:00 | 50 | 0 | 19.79 | 46.333333 | 19 | 44.826667 | 20.1 | 45.09 | 19.1 | 44.966667 | 17.89 | 52.76 | 4.03 | 94.666667 | 17.79 | 42.43 | 18.666667 | 50.026667 | 17.033333 | 46.59 | 4.966667 | 742.466667 | 91 | 5 | 36.333333 | 3.566667 | 40.543512 | 40.543512 |
2016-01-12 09:30:00 | 30 | 0 | 19.79 | 46.066667 | 19 | 44.645 | 20.1 | 45.163333 | 19.033333 | 44.766667 | 17.89 | 52.033333 | 4.09 | 95 | 17.79 | 42.23 | 18.6 | 49.826667 | 17.033333 | 46.39 | 5.05 | 742.55 | 91 | 5 | 34.5 | 3.65 | 30.246665 | 30.246665 |
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