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Piedrahita, Victor A; Galeotti, Simone; Zhao, Xiang; Roberts, Andrew P; Rohling, Eelco J; Heslop, David; Florindo, Fabio; Grant, Katharine M; Rodriguez-Sanz, Laura; Reghellin, Daniele; Zeebe, Richard E (2023): Astrochronological age model (iron) from the Contessa Road (Italy) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.954744, In: Piedrahita, VA et al. (2023): X-ray fluorescence data from Contessa Road (Italy), Paleocene-Eocene Thermal Maximum interval [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.954774

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Published: 2023-01-23DOI registered: 2023-03-08

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Keyword(s):
CaCO3 dissolution; long eccentricity maximum; orbital control; Paleocene-Eocene Thermal Maximum (PETM); short eccentricity maximum
Related to:
Funding:
Australian Research Council (ARC), grant/award no. DE190100042
Australian Research Council (ARC), grant/award no. DP190100874
Heising-Simons Foundation, grant/award no. Grant #2021-2800
National Science Foundation (NSF), grant/award no. OCE-2001022: A fully calibrated astronomical time scale for the Cenozoic: Dating, climate forcing, and solar system chaos
National Science Foundation (NSF), grant/award no. OCE-2034660: High-fidelity dating of deep-time records: Integrating Earth's dynamical ellipticity and tidal dissipation into astrochronology
Coverage:
Latitude: 43.379722 * Longitude: 12.563889
Date/Time Start: 2018-10-21T14:00:00 * Date/Time End: 2018-10-21T14:00:00
Minimum DEPTH, sediment/rock: 30.07 m * Maximum DEPTH, sediment/rock: 32.99 m
Event(s):
Contessa_Road_section * Latitude: 43.379722 * Longitude: 12.563889 * Date/Time: 2018-10-21T14:00:00 * Elevation: 550.0 m * Location: Gubbio, Italy * Method/Device: Geological sample (GEOS)
Comment:
Ages are presented in kyr relative to the PETM onset (0 kyr).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Age modelAge modelkaPiedrahita, Victor ANormalizedFe
DEPTH, sediment/rockDepth sedmPiedrahita, Victor AGeocode
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
293 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Age model [ka]

Depth sed [m]
-279.00030.07
-276.90030.08
-274.80030.09
-272.70030.10
-270.60030.11
-268.50030.12
-266.40030.13
-264.30030.14
-262.20030.15
-260.10030.16
-258.00030.17
-256.10030.18
-254.20030.19
-252.30030.20
-250.40030.21
-248.50030.22
-246.50030.23
-244.60030.24
-242.70030.25
-240.80030.26
-238.90030.27
-237.00030.28
-234.40030.29
-231.80030.30
-229.10030.31
-226.50030.32
-223.90030.33
-221.30030.34
-218.60030.35
-216.00030.36
-213.40030.37
-210.80030.38
-208.10030.39
-205.50030.40
-202.90030.41
-200.30030.42
-197.60030.43
-195.00030.44
-192.70030.45
-190.30030.46
-188.00030.47
-185.70030.48
-183.30030.49
-181.00030.50
-178.70030.51
-176.30030.52
-174.00030.53
-171.70030.54
-169.30030.55
-167.00030.56
-164.70030.57
-162.30030.58
-160.00030.59
-157.70030.60
-155.30030.61
-153.00030.62
-150.70030.63
-148.30030.64
-146.00030.65
-143.70030.66
-141.30030.67
-139.00030.68
-136.70030.69
-134.30030.70
-132.00030.71
-129.00030.72
-126.00030.73
-123.00030.74
-120.00030.75
-117.00030.76
-114.00030.77
-111.00030.78
-108.40030.79
-105.80030.80
-103.10030.81
-100.50030.82
-97.90030.83
-95.30030.84
-92.60030.85
-90.00030.86
-88.10030.87
-86.20030.88
-84.30030.89
-82.40030.90
-80.50030.91
-78.50030.92
-76.60030.93
-74.70030.94
-72.80030.95
-70.90030.96
-69.00030.97
-66.40030.98
-63.80030.99
-61.10031.00
-58.50031.01
-55.90031.02
-53.30031.03
-50.60031.04
-48.00031.05
-45.70031.06
-43.30031.07
-41.00031.08
-38.70031.09
-36.30031.10
-34.00031.11
-31.70031.12
-29.30031.13
-27.00031.14
-24.90031.15
-22.80031.16
-20.70031.17
-18.60031.18
-16.50031.19
-14.40031.20
-12.30031.21
-10.20031.22
-8.10031.23
-6.00031.24
-3.00031.25
0.00031.26
3.00031.27
6.00031.28
9.00031.29
12.00031.30
15.00031.31
18.50031.32
22.00031.33
25.50031.34
29.00031.35
32.50031.36
36.00031.37
40.20031.38
44.40031.39
48.60031.40
52.80031.41
57.00031.42
61.20031.43
65.40031.44
69.60031.45
73.80031.46
78.00031.47
83.20031.48
88.50031.49
93.70031.50
99.00031.51
102.00031.52
105.00031.53
108.00031.54
111.00031.55
114.00031.56
117.00031.57
120.00031.58
123.00031.59
126.00031.60
129.00031.61
132.00031.62
135.00031.63
138.00031.64
141.00031.65
144.50031.66
148.00031.67
151.50031.68
155.00031.69
158.50031.70
162.00031.71
165.50031.72
169.00031.73
172.50031.74
176.00031.75
179.50031.76
183.00031.77
185.60031.78
188.20031.79
190.90031.80
193.50031.81
196.10031.82
198.70031.83
201.40031.84
204.00031.85
206.60031.86
209.20031.87
211.90031.88
214.50031.89
217.10031.90
219.70031.91
222.40031.92
225.00031.93
228.00031.94
231.00031.95
234.00031.96
237.00031.97
240.00031.98
243.00031.99
246.00032.00
248.30032.01
250.70032.02
253.00032.03
255.30032.04
257.70032.05
260.00032.06
262.30032.07
264.70032.08
267.00032.09
269.60032.10
272.20032.11
274.90032.12
277.50032.13
280.10032.14
282.70032.15
285.40032.16
288.00032.17
290.60032.18
293.20032.19
295.90032.20
298.50032.21
301.10032.22
303.70032.23
306.40032.24
309.00032.25
311.60032.26
314.20032.27
316.90032.28
319.50032.29
322.10032.30
324.70032.31
327.40032.32
330.00032.33
334.20032.34
338.40032.35
342.60032.36
346.80032.37
351.00032.38
353.30032.39
355.70032.40
358.00032.41
360.30032.42
362.70032.43
365.00032.44
367.30032.45
369.70032.46
372.00032.47
374.30032.48
376.70032.49
379.00032.50
381.30032.51
383.70032.52
386.00032.53
388.30032.54
390.70032.55
393.00032.56
396.50032.57
400.00032.58
403.50032.59
407.00032.60
410.50032.61
414.00032.62
416.60032.63
419.20032.64
421.90032.65
424.50032.66
427.10032.67
429.70032.68
432.40032.69
435.00032.70
436.90032.71
438.80032.72
440.70032.73
442.60032.74
444.50032.75
446.50032.76
448.40032.77
450.30032.78
452.20032.79
454.10032.80
456.00032.81
458.30032.82
460.70032.83
463.00032.84
465.30032.85
467.70032.86
470.00032.87
472.30032.88
474.70032.89
477.00032.90
479.30032.91
481.70032.92
484.00032.93
486.30032.94
488.70032.95
491.00032.96
493.30032.97
495.70032.98
498.00032.99