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 (calcium) from the Contessa Road (Italy) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.954747, 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
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2023-01-23 • DOI registered: 2023-03-08
Keyword(s):
Related to:
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 (2022): Orbital phasing of the Paleocene-Eocene Thermal Maximum. Earth and Planetary Science Letters, 598, 117839, https://doi.org/10.1016/j.epsl.2022.117839
Funding:
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: 30.08 m * Maximum DEPTH, sediment/rock: 32.99 m
Event(s):
Comment:
Ages are presented in kyr relative to the PETM onset (0 kyr).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Age model | Age model | ka | Normalized | Ca | |
| 2 | DEPTH, sediment/rock | Depth sed | m | Geocode |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
292 data points
Data
| 1 Age model [ka] | 2 Depth sed [m] |
|---|---|
| -279.000 | 30.08 |
| -276.700 | 30.09 |
| -274.300 | 30.10 |
| -272.000 | 30.11 |
| -269.700 | 30.12 |
| -267.300 | 30.13 |
| -265.000 | 30.14 |
| -262.700 | 30.15 |
| -260.300 | 30.16 |
| -258.000 | 30.17 |
| -255.900 | 30.18 |
| -253.800 | 30.19 |
| -251.700 | 30.20 |
| -249.600 | 30.21 |
| -247.500 | 30.22 |
| -245.400 | 30.23 |
| -243.300 | 30.24 |
| -241.200 | 30.25 |
| -239.100 | 30.26 |
| -237.000 | 30.27 |
| -234.400 | 30.28 |
| -231.800 | 30.29 |
| -229.100 | 30.30 |
| -226.500 | 30.31 |
| -223.900 | 30.32 |
| -221.300 | 30.33 |
| -218.600 | 30.34 |
| -216.000 | 30.35 |
| -213.700 | 30.36 |
| -211.300 | 30.37 |
| -209.000 | 30.38 |
| -206.700 | 30.39 |
| -204.300 | 30.40 |
| -202.000 | 30.41 |
| -199.700 | 30.42 |
| -197.300 | 30.43 |
| -195.000 | 30.44 |
| -192.700 | 30.45 |
| -190.300 | 30.46 |
| -188.000 | 30.47 |
| -185.700 | 30.48 |
| -183.300 | 30.49 |
| -181.000 | 30.50 |
| -178.700 | 30.51 |
| -176.300 | 30.52 |
| -174.000 | 30.53 |
| -171.700 | 30.54 |
| -169.300 | 30.55 |
| -167.000 | 30.56 |
| -164.700 | 30.57 |
| -162.300 | 30.58 |
| -160.000 | 30.59 |
| -157.700 | 30.60 |
| -155.300 | 30.61 |
| -153.000 | 30.62 |
| -150.900 | 30.63 |
| -148.800 | 30.64 |
| -146.700 | 30.65 |
| -144.600 | 30.66 |
| -142.500 | 30.67 |
| -140.400 | 30.68 |
| -138.300 | 30.69 |
| -136.200 | 30.70 |
| -134.100 | 30.71 |
| -132.000 | 30.72 |
| -128.500 | 30.73 |
| -125.000 | 30.74 |
| -121.500 | 30.75 |
| -118.000 | 30.76 |
| -114.500 | 30.77 |
| -111.000 | 30.78 |
| -108.400 | 30.79 |
| -105.800 | 30.80 |
| -103.100 | 30.81 |
| -100.500 | 30.82 |
| -97.900 | 30.83 |
| -95.300 | 30.84 |
| -92.600 | 30.85 |
| -90.000 | 30.86 |
| -88.100 | 30.87 |
| -86.200 | 30.88 |
| -84.300 | 30.89 |
| -82.400 | 30.90 |
| -80.500 | 30.91 |
| -78.500 | 30.92 |
| -76.600 | 30.93 |
| -74.700 | 30.94 |
| -72.800 | 30.95 |
| -70.900 | 30.96 |
| -69.000 | 30.97 |
| -66.700 | 30.98 |
| -64.300 | 30.99 |
| -62.000 | 31.00 |
| -59.700 | 31.01 |
| -57.300 | 31.02 |
| -55.000 | 31.03 |
| -52.700 | 31.04 |
| -50.300 | 31.05 |
| -48.000 | 31.06 |
| -45.900 | 31.07 |
| -43.800 | 31.08 |
| -41.700 | 31.09 |
| -39.600 | 31.10 |
| -37.500 | 31.11 |
| -35.400 | 31.12 |
| -33.300 | 31.13 |
| -31.200 | 31.14 |
| -29.100 | 31.15 |
| -27.000 | 31.16 |
| -24.400 | 31.17 |
| -21.800 | 31.18 |
| -19.100 | 31.19 |
| -16.500 | 31.20 |
| -13.900 | 31.21 |
| -11.300 | 31.22 |
| -8.600 | 31.23 |
| -6.000 | 31.24 |
| -3.000 | 31.25 |
| 0.000 | 31.26 |
| 3.000 | 31.27 |
| 6.000 | 31.28 |
| 9.000 | 31.29 |
| 12.000 | 31.30 |
| 15.000 | 31.31 |
| 18.500 | 31.32 |
| 22.000 | 31.33 |
| 25.500 | 31.34 |
| 29.000 | 31.35 |
| 32.500 | 31.36 |
| 36.000 | 31.37 |
| 40.200 | 31.38 |
| 44.400 | 31.39 |
| 48.600 | 31.40 |
| 52.800 | 31.41 |
| 57.000 | 31.42 |
| 59.300 | 31.43 |
| 61.700 | 31.44 |
| 64.000 | 31.45 |
| 66.300 | 31.46 |
| 68.700 | 31.47 |
| 71.000 | 31.48 |
| 73.300 | 31.49 |
| 75.700 | 31.50 |
| 78.000 | 31.51 |
| 80.600 | 31.52 |
| 83.200 | 31.53 |
| 85.900 | 31.54 |
| 88.500 | 31.55 |
| 91.100 | 31.56 |
| 93.700 | 31.57 |
| 96.400 | 31.58 |
| 99.000 | 31.59 |
| 102.500 | 31.60 |
| 106.000 | 31.61 |
| 109.500 | 31.62 |
| 113.000 | 31.63 |
| 116.500 | 31.64 |
| 120.000 | 31.65 |
| 123.500 | 31.66 |
| 127.000 | 31.67 |
| 130.500 | 31.68 |
| 134.000 | 31.69 |
| 137.500 | 31.70 |
| 141.000 | 31.71 |
| 144.500 | 31.72 |
| 148.000 | 31.73 |
| 151.500 | 31.74 |
| 155.000 | 31.75 |
| 158.500 | 31.76 |
| 162.000 | 31.77 |
| 164.600 | 31.78 |
| 167.200 | 31.79 |
| 169.900 | 31.80 |
| 172.500 | 31.81 |
| 175.100 | 31.82 |
| 177.700 | 31.83 |
| 180.400 | 31.84 |
| 183.000 | 31.85 |
| 185.600 | 31.86 |
| 188.200 | 31.87 |
| 190.900 | 31.88 |
| 193.500 | 31.89 |
| 196.100 | 31.90 |
| 198.700 | 31.91 |
| 201.400 | 31.92 |
| 204.000 | 31.93 |
| 207.000 | 31.94 |
| 210.000 | 31.95 |
| 213.000 | 31.96 |
| 216.000 | 31.97 |
| 219.000 | 31.98 |
| 222.000 | 31.99 |
| 225.000 | 32.00 |
| 228.000 | 32.01 |
| 231.000 | 32.02 |
| 234.000 | 32.03 |
| 237.000 | 32.04 |
| 240.000 | 32.05 |
| 243.000 | 32.06 |
| 246.000 | 32.07 |
| 248.600 | 32.08 |
| 251.200 | 32.09 |
| 253.900 | 32.10 |
| 256.500 | 32.11 |
| 259.100 | 32.12 |
| 261.700 | 32.13 |
| 264.400 | 32.14 |
| 267.000 | 32.15 |
| 269.600 | 32.16 |
| 272.200 | 32.17 |
| 274.900 | 32.18 |
| 277.500 | 32.19 |
| 280.100 | 32.20 |
| 282.700 | 32.21 |
| 285.400 | 32.22 |
| 288.000 | 32.23 |
| 290.300 | 32.24 |
| 292.700 | 32.25 |
| 295.000 | 32.26 |
| 297.300 | 32.27 |
| 299.700 | 32.28 |
| 302.000 | 32.29 |
| 304.300 | 32.30 |
| 306.700 | 32.31 |
| 309.000 | 32.32 |
| 311.600 | 32.33 |
| 314.200 | 32.34 |
| 316.900 | 32.35 |
| 319.500 | 32.36 |
| 322.100 | 32.37 |
| 324.700 | 32.38 |
| 327.400 | 32.39 |
| 330.000 | 32.40 |
| 332.600 | 32.41 |
| 335.200 | 32.42 |
| 337.900 | 32.43 |
| 340.500 | 32.44 |
| 343.100 | 32.45 |
| 345.700 | 32.46 |
| 348.400 | 32.47 |
| 351.000 | 32.48 |
| 354.000 | 32.49 |
| 357.000 | 32.50 |
| 360.000 | 32.51 |
| 363.000 | 32.52 |
| 366.000 | 32.53 |
| 369.000 | 32.54 |
| 372.000 | 32.55 |
| 375.500 | 32.56 |
| 379.000 | 32.57 |
| 382.500 | 32.58 |
| 386.000 | 32.59 |
| 389.500 | 32.60 |
| 393.000 | 32.61 |
| 395.600 | 32.62 |
| 398.200 | 32.63 |
| 400.900 | 32.64 |
| 403.500 | 32.65 |
| 406.100 | 32.66 |
| 408.700 | 32.67 |
| 411.400 | 32.68 |
| 414.000 | 32.69 |
| 415.900 | 32.70 |
| 417.800 | 32.71 |
| 419.700 | 32.72 |
| 421.600 | 32.73 |
| 423.500 | 32.74 |
| 425.500 | 32.75 |
| 427.400 | 32.76 |
| 429.300 | 32.77 |
| 431.200 | 32.78 |
| 433.100 | 32.79 |
| 435.000 | 32.80 |
| 436.900 | 32.81 |
| 438.800 | 32.82 |
| 440.700 | 32.83 |
| 442.600 | 32.84 |
| 444.500 | 32.85 |
| 446.500 | 32.86 |
| 448.400 | 32.87 |
| 450.300 | 32.88 |
| 452.200 | 32.89 |
| 454.100 | 32.90 |
| 456.000 | 32.91 |
| 458.600 | 32.92 |
| 461.200 | 32.93 |
| 463.900 | 32.94 |
| 466.500 | 32.95 |
| 469.100 | 32.96 |
| 471.700 | 32.97 |
| 474.400 | 32.98 |
| 477.000 | 32.99 |
