pub

IGSN: IEDRM008O
place: N34°26′53.6″, E131°45′30.0″ more
classification: volcanic:dacitic
physical-form: hand specimen
quantity (kg): 5.085
description: Aonoyama
modified at 2020-09-14
surface:
- globe

Table2. Comparison of Pb isotope composition and major-element abundances (on a water-free basis) of Aonoyama ADK obtained in this study and by Kimura et al. (2014) < 20180528091841-005767 > in Pineda-Velasco et al. (2015)refreshed at 2021-06-02

1: AON-03 2: AON-04 3: AON-05 4: AON-06 5: AON-07 6: AON-08 7: AON-09 8: AON-10 9: AON-11 10: AON-12 11: AON-13 12: AON-14 13: AON-16 14: AON-17 15: AON-18 16: AON-20 17: AON-21 18: AON-22

(a) XRF (0) on XRF PANalytical PW2400

(b) TIMS on TIMS Thermo-Fisher Triton

Table S1. Locality, major and trace-element abundances, and Pb isotopic compositions of andesites and dacites from Aonoyama volcanic field < 20190829113556-371466 > in Pineda-Velasco et al. (2018)refreshed at 2020-09-14

1: AON-03 2: AON-04 3: AON-05 4: AON-06 5: AON-07 6: AON-08 7: AON-09 8: AON-10 9: AON-11 10: AON-12 11: AON-13 12: AON-16 13: AON-17 14: AON-18 15: AON-20 16: AON-21 17: AON-22

(a) XRF procedures of Takei (2002) on XRF PANalytical PW2400

(b) Tritration with gravimetry

(d) Q-ICP-MS_procedures of Lu et al. (2007) on Q-ICPMS Agilent 7500cs

(e) TIMS on TIMS Thermo-Fisher Triton

@article{20141104111000-094307,
 author={{AON-12}},
 title={Hand specimen with quantity 5.085 kg at \nolinkurl{/ISEI/stone storage/Room A/1F/D/1/Aonoyama-2014-2/}},
 journal={\href{http://dream.misasa.okayama-u.ac.jp/?q=20141104111000-094307}{DREAM}},
 volume={20},
 pages={20141104111000-094307},
 year={2014},
 url={http://dream.misasa.okayama-u.ac.jp/?q=20141104111000-094307},
}

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    <device>XRF PANalytical PW2400</device>
    <technique>XRF procedures of Takei (2002)</technique>
    <operator>Ivan</operator>
    <sample_global_id>20141104111000-094307</sample_global_id>
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      <longitude>131.758333333333</longitude>
      <latitude>34.4482222222222</latitude>
      <elevation>256.0</elevation>
      <description/>
    </place>
    <chemistries>
      <analysis>
        <nickname>SiO2</nickname>
        <value>63.01</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>TiO2</nickname>
        <value>0.55</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
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      </analysis>
      <analysis>
        <nickname>Al2O3</nickname>
        <value>16.25</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Fe2O3</nickname>
        <value>2.4</value>
        <unit>%</unit>
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        <label/>
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      </analysis>
      <analysis>
        <nickname>FeO</nickname>
        <value>2.14</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
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      </analysis>
      <analysis>
        <nickname>MnO</nickname>
        <value>0.1</value>
        <unit>%</unit>
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      </analysis>
      <analysis>
        <nickname>MgO</nickname>
        <value>2.74</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>CaO</nickname>
        <value>5.11</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
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      </analysis>
      <analysis>
        <nickname>Na2O</nickname>
        <value>3.75</value>
        <unit>%</unit>
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      <analysis>
        <nickname>K2O</nickname>
        <value>1.69</value>
        <unit>%</unit>
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      <analysis>
        <nickname>P2O5</nickname>
        <value>0.18</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>LOI</nickname>
        <value>1.5</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
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      </analysis>
      <analysis>
        <nickname>total</nickname>
        <value>99.9</value>
        <unit>%</unit>
        <uncertainty/>
        <label/>
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  </acquisition>
  <acquisition>
    <global_id>20190829094656-831202</global_id>
    <name>AON-12</name>
    <device>Q-ICPMS Agilent 7500cs</device>
    <technique>Q-ICP-MS_procedures of Lu et al. (2007)</technique>
    <operator>Ivan</operator>
    <sample_global_id>20141104111000-094307</sample_global_id>
    <sample_name>AON-12</sample_name>
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      <longitude>131.758333333333</longitude>
      <latitude>34.4482222222222</latitude>
      <elevation>256.0</elevation>
      <description/>
    </place>
    <chemistries>
      <analysis>
        <nickname>B</nickname>
        <value>11.82632559</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Zr</nickname>
        <value>101.4724872</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Hf</nickname>
        <value>2.895128485</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Nb</nickname>
        <value>6.576199288</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Ta</nickname>
        <value>0.397526979</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
    </chemistries>
  </acquisition>
  <acquisition>
    <global_id>20190829094625-891267</global_id>
    <name>AON-12</name>
    <device>Q-ICPMS Agilent 7500cs</device>
    <technique/>
    <operator>Ivan</operator>
    <sample_global_id>20141104111000-094307</sample_global_id>
    <sample_name>AON-12</sample_name>
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      <global_id>20141013164252-982204</global_id>
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      <longitude>131.758333333333</longitude>
      <latitude>34.4482222222222</latitude>
      <elevation>256.0</elevation>
      <description/>
    </place>
    <chemistries>
      <analysis>
        <nickname>Li</nickname>
        <value>26.56</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Be</nickname>
        <value>1.66</value>
        <unit>ppm</unit>
        <uncertainty/>
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        <info/>
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      <analysis>
        <nickname>Rb</nickname>
        <value>42.12</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Sr</nickname>
        <value>1050.0</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Y</nickname>
        <value>12.8</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Cs</nickname>
        <value>2.42</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
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      <analysis>
        <nickname>Ba</nickname>
        <value>620.46</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
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      <analysis>
        <nickname>La</nickname>
        <value>19.56</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
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      <analysis>
        <nickname>Ce</nickname>
        <value>39.35</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Pr</nickname>
        <value>4.71</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Nd</nickname>
        <value>19.07</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Sm</nickname>
        <value>3.6</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Eu</nickname>
        <value>1.17</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Gd</nickname>
        <value>3.28</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Tb</nickname>
        <value>0.44</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Dy</nickname>
        <value>2.46</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Ho</nickname>
        <value>0.47</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Er</nickname>
        <value>1.28</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Tm</nickname>
        <value>0.18</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Yb</nickname>
        <value>1.22</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Lu</nickname>
        <value>0.18</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Pb</nickname>
        <value>11.84</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>Th</nickname>
        <value>4.17</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
      <analysis>
        <nickname>U</nickname>
        <value>1.51</value>
        <unit>ppm</unit>
        <uncertainty/>
        <label/>
        <info/>
      </analysis>
    </chemistries>
  </acquisition>
  <acquisition>
    <global_id>20190830105228-078525</global_id>
    <name>AON-12</name>
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    <technique>Titration with gravimetry</technique>
    <operator>Ivan</operator>
    <sample_global_id>20141104111000-094307</sample_global_id>
    <sample_name>AON-12</sample_name>
    <description/>
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      <global_id>20141013164252-982204</global_id>
      <name>AON-12</name>
      <longitude>131.758333333333</longitude>
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      <elevation>256.0</elevation>
      <description/>
    </place>
    <chemistries>
      <analysis>
        <nickname>H2O+</nickname>
        <value>1.75035056</value>
        <unit>%</unit>
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      </analysis>
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name

physical-form

quantity

AON-12-a pub

powder

20150911175827-232271

AON-12-b pub

powder

20150913154116-626600

place quantity

ISEI/stone storage/Room A/1F/D/--/Aonoyama-2014-2 5 months

2021-01-04 15:19 2021-06-13 20:04

description:

ISEI/main/127/B/4/Aonoyama-2014-2 about 1 year

2019-11-22 15:20 2021-01-04 15:19

description:

ISEI/main/127/A/8/Aonoyama-2014-2 almost 4 years

2015-12-09 10:13 2019-11-22 15:20

description:

ISEI/main/127/A/6/Aonoyama-2014-2 about 1 month

2015-11-06 17:21 2015-12-09 10:13

description:

ISEI/main/--/Aonoyama-2014-2 1 day

2015-11-05 14:00 2015-11-06 17:21

description:

name	device	global-id
AON-12 pub 13	XRF PANalytical PW2400	20190829093042-933662
AON-12 pub 5	Q-ICPMS Agilent 7500cs	20190829094656-831202
AON-12 pub 24	Q-ICPMS Agilent 7500cs	20190829094625-891267
AON-12 pub 1		20190830105228-078525
AON-12 pub 2 on AON-12-a pub	XRF PANalytical PW2400	20180528085116-606929
AON-12 pub 3 on AON-12-b pub	TIMS Thermo-Fisher Triton	20150520095025-318860

	name		global-id
	Pineda-Velasco et al. (2018) Production of High-Sr Andesite and Dacite Magmas by Melting of Subducting Oceaninc Lithosphere at Propagating Slab Tears, Journal of Geophysical Research: Solid Earth, 123, 3698 - 3728, doi:10.1029/2017JB015066. Table S1. Locality, major and trace-element abundances, and Pb isotopic compositions of andesites and dacites from Aonoyama volcanic field		20190829093443-741997
	Pineda-Velasco et al. (2015) Comment on Diverse magmatic effects of subducting a hot slab in SW Japan: Results from forward modeling by J.-I. Kimura et al., Geochemistry, Geophysics, Geosystems, 16, 2848-2852, doi:10.1002/2015GC005914. Table2. Comparison of Pb isotope composition and major-element abundances (on a water-free basis) of Aonoyama ADK obtained in this study and by Kimura et al. (2014)		20150910180659-209646

		name		spots	global-id
		img_5951.jpg pub		0	20141104111005-106458