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

Wirth, Stefanie B; Gilli, Adrian; Simonneau, Anaëlle; Ariztegui, Daniel; Vannière, Boris; Glur, Lukas; Chapron, Emmanuel; Magny, Michel; Anselmetti, Flavio S (2013): Seasonality and thickness of flood layers of Lake Ledro [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.823419, In supplement to: Wirth, SB et al. (2013): A 2000 year long seasonal record of floods in the southern European Alps. Geophysical Research Letters, 40(15), 4025-4029, https://doi.org/10.1002/grl.50741

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Coverage:
Latitude: 45.876700 * Longitude: 10.750600
Minimum Elevation: 655.0 m * Maximum Elevation: 655.0 m
Event(s):
Lake_Ledro (S3) * Latitude: 45.876700 * Longitude: 10.750600 * Elevation: 655.0 m * Location: Central Alps * Method/Device: Piston corer (PC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 AGEAgeka BPGeocode
2 Flood layer thicknessFlood lay thickmmWirth, Stefanie Bwinter
3 Flood layer thicknessFlood lay thickmmWirth, Stefanie Bspring
4 Flood layer thicknessFlood lay thickmmWirth, Stefanie Bsummer
5 Flood layer thicknessFlood lay thickmmWirth, Stefanie Bautumn
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
467 data points

Data

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

1 
Age [ka BP]		2 
Flood lay thick [mm]
(winter)		3 
Flood lay thick [mm]
(spring)		4 
Flood lay thick [mm]
(summer)		5 
Flood lay thick [mm]
(autumn)
-0.0480.8
-0.0483.1
-0.0462.5
-0.0466.6
-0.0412.0
-0.0311.0
-0.0274.9
-0.0221.3
-0.0165.7
-0.0162.3
-0.0120.9
-0.0100.8
-0.0071.5
-0.0031.2
0.0061.7
0.0180.3
0.0251.2
0.0270.7
0.0314.6
0.0332.2
0.0351.7
0.0391.1
0.0434.2
0.0530.9
0.05725.0
0.0602.1
0.0621.6
0.0648.9
0.0653.4
0.0701.9
0.0711.8
0.0730.8
0.0730.5
0.07411.9
0.08223.5
0.0921.7
0.0961.1
0.0971.6
0.09828.0
0.0982.8
0.0994.0
0.1011.4
0.1053.7
0.1071.0
0.1093.7
0.1110.9
0.11427.3
0.1176.5
0.11718.7
0.1180.9
0.1181.3
0.1200.3
0.1203.1
0.1210.8
0.1231.3
0.1261.4
0.1271.2
0.1270.4
0.1301.6
0.1324.1
0.1331.2
0.13311.8
0.1410.3
0.1430.7
0.1441.0
0.1461.1
0.1470.7
0.1481.4
0.1496.3
0.1595.6
0.1620.6
0.1639.4
0.1642.5
0.1671.1
0.1710.5
0.1751.8
0.1761.0
0.1771.6
0.1791.9
0.1798.5
0.1801.0
0.1811.5
0.1840.6
0.1890.7
0.1914.0
0.1941.2
0.1982.3
0.1981.0
0.1991.2
0.1991.9
0.1992.7
0.2050.5
0.2051.4
0.2060.8
0.2080.3
0.2090.7
0.2111.4
0.2124.5
0.2136.3
0.2150.3
0.2181.5
0.2190.9
0.2231.2
0.2251.3
0.22736.5
0.2280.7
0.2290.5
0.2310.3
0.2340.2
0.2342.0
0.2350.5
0.2360.7
0.2370.8
0.2391.0
0.2401.8
0.2450.6
0.2461.7
0.2470.3
0.2490.6
0.2530.6
0.2560.9
0.2590.9
0.2642.2
0.2650.7
0.2700.5
0.2740.7
0.2762.1
0.2771.3
0.2780.7
0.2800.9
0.2845.0
0.2850.6
0.2860.8
0.2891.0
0.2901.7
0.2920.9
0.2940.7
0.2950.5
0.2970.6
0.3150.8
0.3161.4
0.3240.8
0.3271.0
0.3320.7
0.3341.5
0.3350.8
0.3382.9
0.3490.5
0.3510.7
0.3550.6
0.3580.5
0.36222.2
0.3680.4
0.3690.9
0.3776.8
0.3790.7
0.3802.0
0.3820.9
0.3930.7
0.3951.2
0.3950.2
0.3980.8
0.40848.0
0.4102.3
0.4133.6
0.4173.0
0.4254.5
0.4262.1
0.4290.5
0.4340.3
0.4349.5
0.4351.3
0.4371.4
0.4390.9
0.44131.2
0.4430.9
0.4430.9
0.4460.7
0.4515.5
0.4511.3
0.4520.3
0.4532.8
0.4571.5
0.4581.4
0.4660.9
0.4661.3
0.4671.2
0.4680.2
0.48025.0
0.49622.8
0.5011.2
0.5141.0
0.51512.8
0.5211.5
0.5330.9
0.5500.5
0.5667.0
0.5751.8
0.5832.1
0.5840.5
0.5880.7
0.5910.6
0.5952.7
0.6061.0
0.6123.2
0.6171.0
0.6202.2
0.6211.2
0.6260.4
0.6290.9
0.6300.4
0.6310.5
0.6400.9
0.6421.7
0.6612.3
0.6630.5
0.6670.4
0.6671.0
0.6680.6
0.6722.3
0.6741.5
0.6770.3
0.6833.9
0.68726.5
0.6880.2
0.6892.5
0.6900.4
0.6901.0
0.6921.1
0.6930.5
0.6941.4
0.6961.6
0.6970.7
0.70344.1
0.7041.1
0.70713.5
0.7085.1
0.7090.7
0.7103.0
0.7130.2
0.7140.4
0.7201.2
0.7210.8
0.7220.2
0.7220.8
0.7280.7
0.7290.6
0.7306.5
0.7350.6
0.7373.4
0.7390.9
0.7410.4
0.7440.5
0.7450.7
0.7490.7
0.7530.9
0.7561.0
0.7590.5
0.7610.8
0.7631.3
0.76415.1
0.76624.1
0.7750.4
0.77711.1
0.7830.8
0.7931.2
0.7950.4
0.7980.7
0.7991.4
0.7991.2
0.8004.0
0.8051.1
0.8070.7
0.8080.8
0.8091.2
0.8100.6
0.8170.6
0.8241.8
0.8276.6
0.8293.3
0.8310.4
0.8380.6
0.8470.2
0.8531.9
0.8571.0
0.8610.7
0.8621.6
0.8641.9
0.8700.5
0.8730.8
0.8811.6
0.8860.8
0.8900.7
0.8910.6
0.8980.9
0.8991.2
0.9080.4
0.9110.9
0.9151.4
0.9171.9
0.9220.8
0.9230.7
0.9371.5
0.93923.1
0.94110.0
0.9710.6
0.9870.8
0.9910.8
1.0020.7
1.0070.6
1.0080.3
1.0100.6
1.0170.6
1.0201.0
1.0281.0
1.0393.7
1.0460.6
1.047104.3
1.0533.9
1.05428.6
1.0600.7
1.0611.3
1.0741.2
1.0780.8
1.0841.6
1.1040.6
1.1060.3
1.1141.6
1.1171.2
1.1401.1
1.1460.7
1.1600.5
1.1629.6
1.1732.2
1.1750.7
1.1821.3
1.1850.8
1.1861.2
1.1930.7
1.1961.2
1.2022.6
1.2085.6
1.2121.2
1.21826.4
1.2261.1
1.23239.3
1.2341.0
1.2350.6
1.2430.9
1.2460.8
1.2491.2
1.2500.6
1.2540.9
1.2550.6
1.2568.2
1.2591.4
1.2623.2
1.2654.4
1.2690.8
1.2701.4
1.2720.5
1.2931.0
1.2980.8
1.3090.6
1.3114.4
1.3221.7
1.3300.5
1.33431.5
1.3572.4
1.3620.6
1.3650.6
1.4000.7
1.4222.3
1.4283.3
1.4451.0
1.4480.5
1.4561.2
1.4671.2
1.4712.1
1.4710.8
1.4730.6
1.47522.2
1.5011.5
1.5070.8
1.5090.4
1.5150.7
1.5260.2
1.5270.5
1.5432.0
1.5460.4
1.5510.3
1.6110.8
1.6181.6
1.6260.6
1.6280.5
1.6310.3
1.6451.1
1.6510.9
1.6551.2
1.6581.0
1.6630.9
1.6760.7
1.6810.6
1.6821.3
1.6861.1
1.6870.5
1.6880.9
1.6980.6
1.7170.5
1.7200.8
1.7250.5
1.72757.8
1.7391.7
1.7432.4
1.7440.8
1.7540.2
1.7550.4
1.7610.7
1.7621.1
1.7680.5
1.7700.5
1.7711.9
1.7812.0
1.7820.7
1.7891.0
1.7930.5
1.7940.6
1.8004.2
1.8031.5
1.8040.6
1.8090.8
1.8121.1
1.8133.4
1.8151.6
1.8160.7
1.8161.4
1.8191.1
1.8211.1
1.8220.9
1.8250.3
1.8280.8
1.8341.9
1.8360.7
1.8440.9
1.8480.8
1.8490.5
1.8510.6
1.8550.5
1.8564.4
1.8592.5
1.8730.7
1.8960.5
1.9000.8
1.9200.7
1.9452.3
1.9470.5
1.9700.5
1.9710.7
1.9780.6
1.9930.7
2.0021.2
2.0081.6
2.0190.5
2.0350.5
2.0560.3
2.0660.8
2.0670.5