Dataset Open Access
Fan, Kai; Dhammapala, Ranil; Harrington, Kyle; Lamb, Brian; Lee, Yun Ha
<?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"><p>These files are the training data of a machine learning modeling framework&nbsp;for the air quality forecasts in the Pacific Northwest (PNW), USA.</p> <p>O3.zip contains the AQS observations data of O3.</p> <p>PM_FRM.zip contains the AQS data of PM2.5 using&nbsp;federal reference methods (FRM).</p> <p>PM_nFRM.zip&nbsp;contains the AQS data of PM2.5 using&nbsp;&ldquo;FRM-like&rdquo;&nbsp;methods.</p> <p>WRF_pkl.zip contains the archived WRF data for the AQS sites in the PNW.</p></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>
All versions | This version | |
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Views | 317 | 317 |
Downloads | 125 | 125 |
Data volume | 55.1 GB | 55.1 GB |
Unique views | 252 | 252 |
Unique downloads | 56 | 56 |