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    <identifier>10.57760/sciencedb.o00005.00025</identifier>
    <datestamp>2023-04-17T15:03:42Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2023-04-17</dc:date>
  <dc:title>2DCNN Prediction of Shenzhen Surface ozone</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00005.00025</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset includes the 2-D Convolutional neural network (2DCNN) predictions of Shenzhen driven by different sources of meteorological data.The description of files included in this dataset are listed below:train_x.npy: The Python Numpy array of data used to train the 2DCNN modeltest_x.npy: The Python Numpy array of data used as the test set the 2DCNN modelval_x.npy:&amp;nbsp;The Python Numpy array of data used to independently validate the 2DCNN modely_pred_train.npy: The Python Numpy array of 2DCNN prediction of training set. y_pred_test.npy: The Python Numpy array of 2DCNN prediction of test set.y_pred_val.npy:&amp;nbsp;&amp;nbsp;The Python Numpy array of 2DCNN prediction of independent validation set.info.npz: The compressed Python Numpy array of latitudes (lat), longitudes (lon), features(vardic) of the 2DCNN input data. 2DCNN-FNL2021.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-FNL2021 simulation.2DCNN-FNL2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-FNL2019 simulation.2DCNN-ERA5-2021.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ERA5-2021 simulation.2DCNN-ERA5-2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ERA5-2019 simulation.2DCNN-EDA-2021.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-EDA-2021 simulation.2DCNN-EDA-2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-EDA-2019 simulation.2DCNN-ESOF-2021-24hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2021-24hr simulation.2DCNN-ESOF-2021-48hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2021-48hr simulation.2DCNN-ESOF-2021-72hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2021-72hr simulation.2DCNN-ESOF-2019-24hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019-24hr simulation.2DCNN-ESOF-2019-48hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019-48hr simulation.2DCNN-ESOF-2019-72hr.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019-72hr simulation.2DCNN-ESOF-2019.npz: The compressed Python Numpy array of in input (X), prediction (Y) and a list of dates for 2DCNN-ESOF-2019 216 hr forecast.</dc:description>
  <dc:subject>CNN; Ozone; Shenzhen</dc:subject>
  <dc:creator>Aoxing Zhang</dc:creator>
  <dc:creator>Tzung-May Fu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

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