Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Prenzel, Jannis; Lisker, Frank; Balestrieri, Maria Laura; Läufer, Andreas; Spiegel, Cornelia (2016): (Table 1) Apatite fission track (AFT) data of the Eisenhower Range [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.868499, Supplement to: Prenzel, J et al. (2013): The Eisenhower Range, Transantarctic Mountains: Evaluation of qualitative interpretation concepts of thermochronological data. Chemical Geology, 352, 176-187, https://doi.org/10.1016/j.chemgeo.2013.06.005

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
The Transantarctic Mountains (TAM) were one of the first regions where apatite fission track (AFT) thermochronology was applied routinely to study exhumation processes and long term landscape evolution. Pioneering publications from the region introduced or refined interpretation concepts of thermochronological data such as the break in slope in vertical age profiles as qualitative marker for the onset of accelerated rock cooling.
New AFT data were compiled from vertical profiles in the Eisenhower Range, northern TAM, and compared with published data. Samples originally examined by population technique were re-analysed via the external detector technique. AFT ages increase from 32±2 Ma at an elevation of 220 m to 175±14 Ma at 2380 m. Geological evidence and thermal history modeling of the AFT data require Jurassic to Late Eocene reheating of the samples and an onset of cooling at ~35 - 30 Ma. This requires the deposition of a ~3 to 3.5 km thick sedimentary sequence on the granitic basement subsequent to Jurassic Ferrar magmatism at ~180 Ma. The regression of paleotemperatures against sample altitudes infers a high Jurassic geothermal gradient of ~60°C/km related to rifting processes and Ferrar magmatism, and a moderate Cretaceous/Eocene geothermal gradient of ~30°C/km. Comparison of ages generated with population and external detector technique shows the importance of determining single-grain ages for each sample, even from granitic rocks of the same intrusion, and thus strongly supports previous cases made for the determination of annealing kinetics and grain-age evaluation. Age comparison additionally illustrates, that samples above a break in slope record larger deviations between population and external detector ages than samples below a break in slope.
We demonstrate that position and shape of a break in slope result from various factors, such as the thermal history prior to final cooling, maximum paleotemperatures, cooling rate, and geothermal gradient. A break in slope does not straightly date the onset of final cooling and cannot substitute thermal history modeling. Therefore, earlier studies from the TAM and similar settings elsewhere need to be validated by combining thermal history modeling of thermochronological data and supplementary geological information.
Funding:
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Coverage:
Median Latitude: -74.629500 * Median Longitude: 162.497000 * South-bound Latitude: -74.920000 * West-bound Longitude: 161.850000 * North-bound Latitude: -74.290000 * East-bound Longitude: 162.740000
Minimum Elevation: 220.0 m * Maximum Elevation: 2380.0 m
Event(s):
ItalAnt_C1 * Latitude: -74.470000 * Longitude: 162.620000 * Elevation: 2380.0 m * Location: Antarctica * Method/Device: Rock sample (ROCK)
ItalAnt_C3 * Latitude: -74.650000 * Longitude: 162.550000 * Elevation: 1950.0 m * Location: Antarctica * Method/Device: Rock sample (ROCK)
ItalAnt_C4 * Latitude: -74.660000 * Longitude: 162.530000 * Elevation: 1780.0 m * Location: Antarctica * Method/Device: Rock sample (ROCK)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventPrenzel, Jannis
2Latitude of eventLatitudePrenzel, Jannis
3Longitude of eventLongitudePrenzel, Jannis
4Elevation of eventElevationmPrenzel, Jannis
5Area/localityAreaPrenzel, Jannis
6NumberNoPrenzel, Jannisxi
7Standard deviationStd dev±Prenzel, Jannisxi
8Fission-tracks, density, counted in stanp d106 #/cm2Prenzel, Jannis
9Fission-tracksN d106 #/cm2Prenzel, Jannis
10Fission-tracks, spontaneous, densityp s106 #/cm2Prenzel, Jannis
11Fission-tracks, spontaneousN s106 #/cm2Prenzel, Jannis
12Fission-tracks, induced, densityp i106 #/cm2Prenzel, Jannis
13Fission-tracks, inducedN i106 #/cm2Prenzel, Jannis
14PercentagePerc%Prenzel, JannisChi²
15Grains, counted/analyzedGrains#Prenzel, Jannis
16Age, datedAge datedkaPrenzel, JannisAFT age
17Age, dated standard deviationAge dated std dev±Prenzel, JannisAFT age
18Age, datedAge datedkaPrenzel, JannisAFT age predicted
19Fission-track length, meanMTLµmPrenzel, Jannis
20Fission-track length, mean, standard deviationMTL std dev±Prenzel, Jannis
21Number of observationsNOBS#Prenzel, Jannisfor MTL
22Fission-track length, meanMTLµmPrenzel, Jannisc-axis
23Fission-track length, meanMTLµmPrenzel, Jannispredicted MTL
24Fission-track length, mean, standard deviationMTL std dev±Prenzel, JannisSD
25Fission-track length, mean, standard deviationMTL std dev±Prenzel, Jannisc-axis
26Fission-track length, mean, standard deviationMTL std dev±Prenzel, Jannispredicted
27Goodness of fitr**2Prenzel, Jannisage
28Goodness of fitr**2Prenzel, JannisMTL
29DiameterصmPrenzel, Jannismean fission-track etch pit diameter Dpar mean
30Age, datedAge datedkaPrenzel, Jannisoriginal
31Age, dated standard deviationAge dated std dev±Prenzel, Jannisoriginal
Size:
493 data points

Download Data

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

View dataset as HTML