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Data Publisher for Earth & Environmental Science

Vogts, Angela; Schefuß, Enno; Badewien, Tanja; Rullkötter, Jürgen (2012): (Supplementary Table B) Data for locations employed as representatives of potential catchment areas [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.786704, In supplement to: Vogts, A et al. (2012): n-Alkane parameters from a deep sea sediment transect off Southwest Africa reflect continental vegetation and climate conditions. Organic Geochemistry, 47, 109-119, https://doi.org/10.1016/j.orggeochem.2012.03.011

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Coverage:
Median Latitude: -11.788462 * Median Longitude: 14.660256 * South-bound Latitude: -28.000000 * West-bound Longitude: 10.000000 * North-bound Latitude: 1.000000 * East-bound Longitude: 19.500000
Comment:
Values were used for calculation of correlation coefficients (Table 7). Data for environmental conditions were derived from the Web WIMP modelling program (Matsuura et al., 2009). Aridity index calculated according to UNEP (1992).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DistanceDistancekmVogts, Angela
LATITUDELatitudeGeocode
LONGITUDELongitudeGeocode
Temperature, annual meanMAT°CVogts, Angela
Precipitation, annual meanMAPmmVogts, Angela
Evapotranspiration, potentialPETmmVogts, Angela
Aridity indexAridity indexVogts, AngelaCalculated
Size:
390 data points

Data

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


Distance [km]

Latitude

Longitude

MAT [°C]

MAP [mm]

PET [mm]

Aridity index
1501.011.023.52101.112921.6
2001.011.524.41835.213051.4
2501.012.024.51647.811981.4
3001.012.523.61665.911501.4
3501.013.023.31653.011641.4
4001.013.523.41591.011771.4
150-0.510.025.91971.615121.3
200-0.510.525.82027.515001.4
250-0.511.025.82027.512221.7
300-0.511.525.82027.511301.8
350-0.512.023.61708.212001.4
400-0.512.523.81734.612131.4
150-2.010.525.61890.614811.3
200-2.011.024.31872.012901.5
250-2.011.523.31837.911711.6
300-2.012.024.21738.912761.4
350-2.012.523.21730.611601.5
400-2.013.022.91816.411291.6
150-3.512.025.51224.114570.8
200-3.512.525.41261.214390.9
250-3.513.023.61455.912081.2
300-3.513.522.11416.810561.3
350-3.514.024.01525.312511.2
400-3.514.522.81697.611151.5
150-5.513.523.81096.212330.9
200-5.514.023.91222.612401.0
250-5.514.524.31297.812891.0
300-5.515.023.01311.411401.2
350-5.515.522.61509.710961.4
400-5.516.023.41531.911811.3
150-9.514.524.8948.214320.7
200-9.515.022.91035.812180.9
250-10.015.520.71126.711261.2
300-10.016.021.51175.410831.2
350-10.516.019.21236.812421.4
400-10.516.522.01266.911891.2
150-11.515.021.01218.99691.3
200-11.515.520.71256.39521.3
250-12.016.021.51256.610051.5
300-12.016.021.71256.610171.5
350-12.516.519.11229.99851.4
400-12.517.020.71228.49501.3
150-13.013.019.41210.89171.4
200-13.013.019.41210.89751.4
250-13.513.520.01147.88661.3
300-13.513.519.91116.88611.2
350-14.014.020.61006.99231.0
400-14.014.020.41017.69941.1
150-15.513.520.3717.19390.8
200-15.514.020.7700.19670.7
250-15.514.522.1688.310850.6
300-15.515.022.7675.611460.6
350-15.515.522.3682.511060.6
400-15.516.021.8713.310620.7
150-19.014.016.8284.37740.4
200-19.014.519.1313.08840.4
250-19.015.021.1331.510210.3
300-19.015.522.0373.711030.3
350-19.016.022.6417.511580.4
400-19.016.522.7483.811800.4
150-22.516.015.5236.37400.3
200-22.516.517.7268.88290.3
250-22.517.017.9357.58430.4
300-22.517.519.1329.89110.4
350-22.518.019.5313.89430.3
400-22.518.519.7333.09590.3
150-23.015.515.4176.46570.2
200-22.516.015.5236.38030.3
250-22.516.517.7268.88940.3
300-22.017.017.8384.310230.5
350-22.017.518.4384.59890.4
400-21.518.018.4394.310260.5
150-28.017.019.592.39220.1
200-28.017.519.0112.59140.1
250-28.018.019.6116.09710.1
300-28.018.520.2116.310240.1
350-28.019.020.6122.810530.1
400-28.019.519.4129.09740.1