Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods
Details will be published in an accompanying article (9. June 2022): Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial inte...
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| creator | Michael Thrun |
| description | Details will be published in an accompanying article (9. June 2022):
Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, in press, 2022.
Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12), CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗 (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗 (J33).
Data were acquired with the following two flow cytometers:
• Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
• Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld) |
| doi_str_mv | 10.17632/jk4dt6wprv.4 |
| format | Dataset |
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Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, in press, 2022.
Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12), CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗 (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗 (J33).
Data were acquired with the following two flow cytometers:
• Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
• Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)</description><identifier>DOI: 10.17632/jk4dt6wprv.4</identifier><language>eng</language><publisher>Mendeley</publisher><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>782,1898</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/jk4dt6wprv.4$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Michael Thrun</creatorcontrib><title>Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods</title><description>Details will be published in an accompanying article (9. June 2022):
Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, in press, 2022.
Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12), CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗 (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗 (J33).
Data were acquired with the following two flow cytometers:
• Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
• Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)</description><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVj8FOw0AMRPfCAQFH7v6BloZG5QMqKj6A-8rJOo3BWa-8piV_wSeTIiTOnOYy82YmhPtms26edtvHh7f3NvnuXOy0bq_D10H0DPvZdSK3GRI6VvIKvebK1TkfQQcoZFxGMhToRDUB5gSdZoIJzRZCxakIVRjUwEcCOqF8oLPmS5w-iyBn7IQAzXngnhcUZycRPlLuFxD5qKnehqsBpdLdr96E1eH5df-yuizr2SkW46V0js0m_jyKf49iu_2v_xv79WD9</recordid><startdate>20220610</startdate><enddate>20220610</enddate><creator>Michael Thrun</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20220610</creationdate><title>Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods</title><author>Michael Thrun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_jk4dt6wprv_43</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Michael Thrun</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Michael Thrun</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods</title><date>2022-06-10</date><risdate>2022</risdate><abstract>Details will be published in an accompanying article (9. June 2022):
Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, in press, 2022.
Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12), CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗 (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗 (J33).
Data were acquired with the following two flow cytometers:
• Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
• Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)</abstract><pub>Mendeley</pub><doi>10.17632/jk4dt6wprv.4</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.17632/jk4dt6wprv.4 |
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| language | eng |
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| source | DataCite |
| title | Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods |
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