Dataset Open Access

Training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest, USA.

Fan, Kai; Dhammapala, Ranil; Harrington, Kyle; Lamb, Brian; Lee, Yun Ha


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;These files are the training data of a machine learning modeling framework&amp;nbsp;for the air quality forecasts in the Pacific Northwest (PNW), USA.&lt;/p&gt;

&lt;p&gt;O3.zip contains the AQS observations data of O3.&lt;/p&gt;

&lt;p&gt;PM_FRM.zip contains the AQS data of PM2.5 using&amp;nbsp;federal reference methods (FRM).&lt;/p&gt;

&lt;p&gt;PM_nFRM.zip&amp;nbsp;contains the AQS data of PM2.5 using&amp;nbsp;&amp;ldquo;FRM-like&amp;rdquo;&amp;nbsp;methods.&lt;/p&gt;

&lt;p&gt;WRF_pkl.zip contains the archived WRF data for the AQS sites in the PNW.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2022-12-14</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-rodare</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.14278/rodare.2029</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Dhammapala, Ranil</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Harrington, Kyle</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Lamb, Brian</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Lee, Yun Ha</subfield>
    <subfield code="0">(orcid)0000-0001-7478-2672</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Fan, Kai</subfield>
  </datafield>
  <controlfield tag="005">20240814121613.0</controlfield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">https://www.hzdr.de/publications/Publ-35834</subfield>
    <subfield code="i">isIdenticalTo</subfield>
    <subfield code="n">url</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">https://www.hzdr.de/publications/Publ-35780</subfield>
    <subfield code="i">isReferencedBy</subfield>
    <subfield code="n">url</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">10.3389/fdata.2023.1124148</subfield>
    <subfield code="i">isReferencedBy</subfield>
    <subfield code="n">doi</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">10.14278/rodare.2028</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="n">doi</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="o">oai:rodare.hzdr.de:2029</subfield>
    <subfield code="p">openaire_data</subfield>
    <subfield code="p">user-rodare</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">130794677</subfield>
    <subfield code="u">https://rodare.hzdr.de/record/2029/files/O3.zip</subfield>
    <subfield code="z">md5:64ae0bbadd36040492aec6413c8487b2</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">33719961</subfield>
    <subfield code="u">https://rodare.hzdr.de/record/2029/files/PM_FRM.zip</subfield>
    <subfield code="z">md5:975a29ede7794ba6fe7c1e6f56047e18</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">69507829</subfield>
    <subfield code="u">https://rodare.hzdr.de/record/2029/files/PM_nFRM.zip</subfield>
    <subfield code="z">md5:54e2846e53f29efaffbd49c6bf27744b</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1546165398</subfield>
    <subfield code="u">https://rodare.hzdr.de/record/2029/files/WRF_pkl.zip</subfield>
    <subfield code="z">md5:ecccd00c0026b8165fa2992ed2d4a916</subfield>
  </datafield>
  <controlfield tag="001">2029</controlfield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Training data of a machine learning modeling framework for the air quality forecasts in the Pacific Northwest, USA.</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
</record>
317
125
views
downloads
All versions This version
Views 317317
Downloads 125125
Data volume 55.1 GB55.1 GB
Unique views 252252
Unique downloads 5656

Share

Cite as