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

Lehmann, Nele; Mears, Chantal; Thomas, Helmuth (2022): 10Be erosion rates and riverine alkalinity concentration globally [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.940522

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
The erosional influence on terrestrial alkalinity generation globally has been discussed over the last decades. In regional studies, long-term catchment-average denudation rates, determined from the concentration of the cosmogenic nuclide 10Be, have proven to be a powerful tool to quantify how physical erosion rates impact chemical weathering rates. Despite this, little research has been done relating 10Be-derived physical erosion rates with riverine alkalinity concentrations at a global scale. Our dataset aims to fill this gap by matching 10Be erosion rates with alkalinity measurements from 233 locations on six continents, covering latitudes from 44 °S to 51 °N. The locations of published 10Be erosion rates were extracted from the OCTOPUS database (doi:10.5194/essd-10-2123-2018) and either assigned alkalinity concentrations from published manuscripts, the GLORICH database (doi:10.1594/PANGAEA.902360), governmental agencies, or sampled ourselves. Our dataset comprises erosion rates spanning 4 orders of magnitude (2-9829 mm ka-1) and single and time-series measurements of alkalinity (1-3940 measurements per location) covering a large concentration range (4-4626 μmol L-1). We complemented the point sampling measurements of erosion rate and alkalinity concentration with the spatial description of runoff, lithology, temperature, precipitation, permanent snow and ice cover, forest cover, soil thickness and area affected by dams, of the respective catchment upstream from the erosion rate measurement location.
Related to:
Federal Ministry of Agriculture, Regions and Tourism (BMLRT), Austria. https://www.bml.gv.at/
Andermann, Christoff (2011): Climate, topography and erosion in the Nepal Himalayas. Geomorphology. Universit  Rennes 1, https://theses.hal.science/tel-00674919
Arino, Olivier; Ramos Perez, Jose Julio; Kalogirou, Vasileios; Bontemps, Sophie; Defourny, Pierre; Van Bogaert, Eric (2012): Global Land Cover Map for 2009 (GlobCover 2009). © European Space Agency (ESA) & Université catholique de Louvain (UCL), PANGAEA, https://doi.org/10.1594/PANGAEA.787668
Bierman, Paul R; Coppersmith, Ryan; Hanson, Kathryn; Neveling, Johann; Portenga, Eric W (2014): A cosmogenic view of erosion, relief generation, and the age of faulting in southern Africa. GSA Today, 24(9), 4-11, https://doi.org/10.1130/GSATG206A.1
Chittenden, Hannah; Delunel, Romain; Schlunegger, Fritz; Akçar, Naki; Kubik, Peter W (2014): The influence of bedrock orientation on the landscape evolution, surface morphology and denudation (10Be) at the Niesen, Switzerland. Earth Surface Processes and Landforms, 39(9), 1153-1166, https://doi.org/10.1002/esp.3511
Codilean, Akexandru T; Munack, Henry; Cohen, Timothy J; Saktura, Wanchese M; Gray, Andrew B; Mudd, Simon M (2018): OCTOPUS: an open cosmogenic isotope and luminescence database. Earth System Science Data, 10(4), 2123-2139, https://doi.org/10.5194/essd-10-2123-2018
Cyr, Andrew J; Granger, Darryl E; Olivetti, Valerio; Molin, Paola (2014): Distinguishing between tectonic and lithologic controls on bedrock channel longitudinal profiles using cosmogenic 10Be erosion rates and channel steepness index. Geomorphology, 209, 27-38, https://doi.org/10.1016/j.geomorph.2013.12.010
Delunel, Romain; van der Beek, Peter A; Carcaillet, Julien; Bourlès, Didier L; Valla, Pierre (2010): Frost-cracking control on catchment denudation rates: Insights from in situ produced 10Be concentrations in stream sediments (Ecrins–Pelvoux massif, French Western Alps). Earth and Planetary Science Letters, 293(1-2), 72-83, https://doi.org/10.1016/j.epsl.2010.02.020
Derrieux, Florence; Siame, Lionel L; Bourlès, Didier L; Chen, Rou-Fei; Braucher, Régis; Léanni, Laetitia; Lee, Jian-Cheng; Chu, Hao-Tsu; Byrne, Timothy (2014): How fast is the denudation of the Taiwan mountain belt? Perspectives from in situ cosmogenic 10Be. Journal of Asian Earth Sciences, 88, 230-245, https://doi.org/10.1016/j.jseaes.2014.03.012
Dixon, Jean L; von Blanckenburg, Friedhelm; Stüwe, Kurt; Christl, Marcus (2016): Glaciation's topographic control on Holocene erosion at the eastern edge of the Alps. Earth Surface Dynamics, 4(4), 895-909, https://doi.org/10.5194/esurf-4-895-2016
Elbaz-Poulichet, F; Seyler, Patrick; Maurice-Bourgoin, Laurence; Guyot, Jean-Loup; Dupuy, C (1999): Trace element geochemistry in the upper Amazon drainage basin (Bolivia). Chemical Geology, 157(3-4), 319-334, https://doi.org/10.1016/S0009-2541(99)00015-7
Evans, Matthew J; Derry, Louis A; France-Lanord, Christian (2004): Geothermal fluxes of alkalinity in the Narayani river system of central Nepal. Geochemistry, Geophysics, Geosystems, 5(8), https://doi.org/10.1029/2004GC000719
Fekete, Balázs M; Vörösmarty, Charles J; Grabs, W (2002): High-resolution fields of global runoff combining observed river discharge and simulated water balances. Global Biogeochemical Cycles, 16(3), 15-1-15-10, https://doi.org/10.1029/1999GB001254
Fick, Stephen E; Hijmans, Robert J (2017): WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. http://worldclim.org/version2, International Journal of Climatology, 37(12), 4302-4315, https://doi.org/10.1002/joc.5086
Finnegan, Noah J; Hallet, Bernard; Montgomery, David R; Zeitler, Peter K; Stone, John O; Anders, Alison M; Yuping, Liu (2008): Coupling of rock uplift and river incision in the Namche Barwa-Gyala Peri massif, Tibet. Geological Society of America Bulletin, 120(1-2), 142-155, https://doi.org/10.1130/B26224.1
France-Lanord, Christian; Evans, Matthew J; Hurtrez, Jean-Emmanuel; Riotte, Jean (2003): Annual dissolved fluxes from Central Nepal rivers: budget of chemical erosion in the Himalayas. Comptes Rendus Geoscience, 335(16), 1131-1140, https://doi.org/10.1016/j.crte.2003.09.014
Galy, Albert; France-Lanord, Christian (1999): Weathering processes in the Ganges–Brahmaputra basin and the riverine alkalinity budget. Chemical Geology, 159(1-4), 31-60, https://doi.org/10.1016/S0009-2541(99)00033-9
Glotzbach, C; Röttjer, Markus; Hampel, Andrea; Hetzel, Ralf; Kubik, Peter W (2014): Quantifying the impact of former glaciation on catchment-wide denudation rates derived from cosmogenic 10Be. Terra Nova, 26(3), 186-194, https://doi.org/10.1111/ter.12085
Glotzbach, C; van der Beek, Peter A; Carcaillet, Julien; Delunel, Romain (2013): Deciphering the driving forces of erosion rates on millennial to million-year timescales in glacially impacted landscapes: An example from the Western Alps. Journal of Geophysical Research-Earth Surface, 118(3), 1491-1515, https://doi.org/10.1002/jgrf.20107
Godard, Vincent; Bourlès, Didier L; Spinabella, Francoise; Burbank, D W; Bookhagen, Bodo; Fisher, G Burch; Moulin, Adrien; Léanni, Laetitia (2014): Dominance of tectonics over climate in Himalayan denudation. Geology, 42(3), 243-246, https://doi.org/10.1130/G35342.1
Godard, Vincent; Burbank, D W; Bourlès, Didier L; Bookhagen, Bodo; Braucher, Régis; Fisher, G Burch (2012): Impact of glacial erosion on 10Be concentrations in fluvial sediments of the Marsyandi catchment, central Nepal. Journal of Geophysical Research-Earth Surface, 117(F3), n/a-n/a, https://doi.org/10.1029/2011JF002230
Goldsmith, Steven T (2009): Physical and Chemical Weathering Processes and Associated CO2 Consumption from Small Mountainous Rivers on High-Standing Islands. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1250531903
Gonzalez, Veronica Sosa; Bierman, Paul R; Fernandez, Nelson; Rood, Dylan H (2016): Long-term background denudation rates of southern and southeastern Brazilian watersheds estimated with cosmogenic 10Be. Geomorphology, 268, 54-63, https://doi.org/10.1016/j.geomorph.2016.05.024
Gonzalez, Veronica Sosa; Bierman, Paul R; Nichols, Kyle K; Rood, Dylan H (2016): Long-term erosion rates of Panamanian drainage basins determined using in situ 10 Be. Geomorphology, 275, 1-15, https://doi.org/10.1016/j.geomorph.2016.04.025
Gruber, A; Scanlon, Tracy; van der Schalie, Robin; Wagner, Wolfgang; Dorigo, Wouter (2019): Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology. Earth System Science Data, 11(2), 717-739, https://doi.org/10.5194/essd-11-717-2019
Harmon, R S; Wörner, Gerhard; Goldsmith, Steven T; Harmon, Brendan A; Gardner, Christopher B; Lyons, William B; Ogden, Fred L; Kern, Zoltán; Fórizs, Istvan (2016): Linking silicate weathering to riverine geochemistry—A case study from a mountainous tropical setting in west-central Panama. Geological Society of America Bulletin, 128(11-12), 1780-1812, https://doi.org/10.1130/B31388.1
Hartmann, Jens; Lauerwald, Ronny; Moosdorf, Nils (2014): A Brief Overview of the GLObal RIver Chemistry Database, GLORICH. Procedia Earth and Planetary Science, 10, 23-27, https://doi.org/10.1016/j.proeps.2014.08.005
Hartmann, Jens; Moosdorf, Nils (2012): The new global lithological map database GLiM: A representation of rock properties at the Earth surface. Geochemistry, Geophysics, Geosystems, 13, Q12004, https://doi.org/10.1029/2012GC004370
Horan, K; Hilton, R G; McCoy-West, A J; Selby, David; Tipper, Edward T; Hawley, S; Burton, Kevin W (2020): Unravelling the controls on the molybdenum isotope ratios of river waters. Geochemical Perspectives, 1-6, https://doi.org/10.7185/geochemlet.2005
Kim, Dong Eun; Seong, Yeong Bae; Choi, Kwang Hee; Yu, Byung Yong (2017): Role of debris flow on the change of 10Be concentration in rapidly eroding watersheds: a case study on the Seti River, central Nepal. Journal of Mountain Science, 14(4), 716-730, https://doi.org/10.1007/s11629-016-4282-y
Kirchner, James W; Finkel, Robert C; Riebe, Clifford S; Granger, Darryl E; Clayton, James L; King, John G; Megahan, Walter F (2001): Mountain erosion over 10 yr, 10 k.y., and 10 m.y. time scales. Geology, 29(7), 591, https://doi.org/10.1130/0091-7613(2001)029%3C0591:MEOYKY%3E2.0.CO;2
Kober, F; Zeilinger, G; Hippe, K; Marc, O; Lendzioch, T; Grischott, R; Christl, Marcus; Kubik, Peter W; Zola, R (2015): Tectonic and lithological controls on denudation rates in the central Bolivian Andes. Tectonophysics, 657, 230-244, https://doi.org/10.1016/j.tecto.2015.06.037
Kotnala, Gunjan; Dobhal, Srishti; Chauhan, Jaspal Singh (2016): Monitoring the self-purification capacity of the River Alaknanda stretch at Srinagar, Uttarakhand, India. International Journal of River Basin Management, 14(4), 491-498, https://doi.org/10.1080/15715124.2016.1193506
Larsen, Peter C; Almond, Peter C; Eger, Andre; Stone, John O; Montgomery, David R; Malcom, Brendon (2014): Rapid Soil Production and Weathering in the Southern Alps, New Zealand. Science, 343(6171), 637-640, https://doi.org/10.1126/science.1244908
Lin, Guan-Wei; Chen, Hanbing; Lin, Saulwood; Lien, Kai-Li (2013): Implications of river chemistry variations on an orogenic, subtropical island - a preliminary study. Episodes, 36(4), 270-274, https://doi.org/10.18814/epiiugs/2013/v36i4/004
Lyons, William B; Carey, Anne E; Hicks, D Murray; Nezat, Carmen A (2005): Chemical weathering in high-sediment-yielding watersheds, New Zealand. Journal of Geophysical Research, 110(F1), https://doi.org/10.1029/2003JF000088
Meyer, Hannah; Hetzel, Ralf; Fügenschuh, B; Strauss, H (2010): Determining the growth rate of topographic relief using in situ-produced 10Be: A case study in the Black Forest, Germany. Earth and Planetary Science Letters, 290(3-4), 391-402, https://doi.org/10.1016/j.epsl.2009.12.034
Meyer, Hannah; Hetzel, Ralf; Strauss, H (2010): Erosion rates on different timescales derived from cosmogenic 10Be and river loads: implications for landscape evolution in the Rhenish Massif, Germany. International Journal of Earth Sciences, 99(2), 395-412, https://doi.org/10.1007/s00531-008-0388-y
Morel, Philippe; von Blanckenburg, Friedhelm; Schaller, Mirjam; Kubik, Peter W; Hinderer, Matthias (2003): Lithology, landscape dissection and glaciation controls on catchment erosion as determined by cosmogenic nuclides in river sediment (the Wutach Gorge, Black Forest). Terra Nova, 15(6), 398-404, https://doi.org/10.1046/j.1365-3121.2003.00519.x
Moustapha, Moussa; Deirmendjian, Loris; Sebag, David; Braun, Jean-Jacques; Audry, Stéphane; Bessa, Henriette Ateba; Adatte, Thierry; Causserand, Carole; Adamou, Ibrahima; Ngatcha, Benjamin Ngounou; Guerin, Frédéric (2022): Partitioning carbon sources between wetland and well-drained ecosystems to a tropical first-order stream – implications for carbon cycling at the watershed scale (Nyong, Cameroon). Biogeosciences, 19(1), 137-163, https://doi.org/10.5194/bg-19-137-2022
Mulligan, Mark; van Soesbergen, Arnout; Sáenz, Leonardo (2020): GOODD, a global dataset of more than 38,000 georeferenced dams. Scientific Data, 7(1), 31, https://doi.org/10.1038/s41597-020-0362-5
Nichols, Kyle K; Bierman, Paul R; Finkel, Robert C; Larsen, Jennifer (2005): Long-Term Sediment Generation Rates for the Upper Río Chagres Basin. In: Harmon R S (eds) The Río Chagres, Panama. Water Science and Technology Library. Springer, Dordrecht, 52, https://doi.org/10.1007/1-4020-3297-8_20
Norton, Kevin P; von Blanckenburg, Friedhelm; DiBiase, Roman; Schlunegger, Fritz; Kubik, Peter W (2011): Cosmogenic 10Be-derived denudation rates of the Eastern and Southern European Alps. International Journal of Earth Sciences, 100(5), 1163-1179, https://doi.org/10.1007/s00531-010-0626-y
Norton, Kevin P; von Blanckenburg, Friedhelm; Kubik, Peter W (2010): Cosmogenic nuclide-derived rates of diffusive and episodic erosion in the glacially sculpted upper Rhone Valley, Swiss Alps. Earth Surface Processes and Landforms, n/a-n/a, https://doi.org/10.1002/esp.1961
Olivetti, Valerio; Godard, Vincent; Bellier, Olivier; ASTER Team (2016): Cenozoic rejuvenation events of Massif Central topography (France): Insights from cosmogenic denudation rates and river profiles. Earth and Planetary Science Letters, 444, 179-191, https://doi.org/10.1016/j.epsl.2016.03.049
Regard, Vincent; Carretier, Sébastian; Boeglin, Jean-Loup; Ngoupayou, Jules-Rémy Ndam; Dzana, Jean-Guy; Bedimo Bedimo, Jean-Pierre; Riotte, Jean; Braun, Jean-Jacques (2016): Denudation rates on cratonic landscapes: comparison between suspended and dissolved fluxes, and 10Be analysis in the Nyong and Sanaga River basins, south Cameroon. Earth Surface Processes and Landforms, 41(12), 1671-1683, https://doi.org/10.1002/esp.3939
Reusser, Lucas J; Bierman, Paul R; Rood, Dylan H (2015): Quantifying human impacts on rates of erosion and sediment transport at a landscape scale. Geology, 43(2), 171-174, https://doi.org/10.1130/G36272.1
Schaller, Mirjam; von Blanckenburg, Friedhelm; Hovius, Niels; Kubik, Peter W (2001): Large-scale erosion rates from in situ-produced cosmogenic nuclides in European river sediments. Earth and Planetary Science Letters, 188(3-4), 441-458, https://doi.org/10.1016/S0012-821X(01)00320-X
Shangguan, Wei; Hengl, Tomislav; Mendes de Jesus, Jorge; Yuan, Hua; Dai, Yongjiu (2017): Mapping the global depth to bedrock for land surface modeling. Journal of Advances in Modeling Earth Systems, 9(1), 65-88, https://doi.org/10.1002/2016MS000686
Vance, Derek; Bickle, Mike; Ivy-Ochs, Susan D; Kubik, Peter W (2003): Erosion and exhumation in the Himalaya from cosmogenic isotope inventories of river sediments. Earth and Planetary Science Letters, 206(3-4), 273-288, https://doi.org/10.1016/S0012-821X(02)01102-0
Wittmann, Hella; Malusà, Marco G; Resentini, Alberto; Garzanti, Eduardo; Niedermann, Samuel (2016): The cosmogenic record of mountain erosion transmitted across a foreland basin: Source-to-sink analysis of in situ 10 Be, 26 Al and 21 Ne in sediment of the Po river catchment. Earth and Planetary Science Letters, 452, 258-271, https://doi.org/10.1016/j.epsl.2016.07.017
Wittmann, Hella; von Blanckenburg, Friedhelm; Guyot, Jean-Loup; Laraque, A; Bernal, C; Kubik, Peter W (2011): Sediment production and transport from in situ-produced cosmogenic 10Be and river loads in the Napo River basin, an upper Amazon tributary of Ecuador and Peru. Journal of South American Earth Sciences, 31(1), 45-53, https://doi.org/10.1016/j.jsames.2010.09.004
Wittmann, Hella; von Blanckenburg, Friedhelm; Kruesmann, Tina; Norton, Kevin P; Kubik, Peter W (2007): Relation between rock uplift and denudation from cosmogenic nuclides in river sediment in the Central Alps of Switzerland. Journal of Geophysical Research, 112(F4), https://doi.org/10.1029/2006JF000729
Project(s):
Coverage:
Median Latitude: 35.775333 * Median Longitude: 6.030676 * South-bound Latitude: -43.576644 * West-bound Longitude: -116.323388 * North-bound Latitude: 51.491598 * East-bound Longitude: 170.995832
Minimum ELEVATION: 134.25 m a.s.l. * Maximum ELEVATION: 5184.99 m a.s.l.
Event(s):
Acher  * Latitude: 48.585000 * Longitude: 8.127000 * Location: Black Forest * Method/Device: Multiple investigations (MULT)
Alaknanda  * Latitude: 30.524000 * Longitude: 79.503000 * Location: Upper Ganges * Method/Device: Multiple investigations (MULT)
Anton_Riv  * Latitude: 8.400000 * Longitude: -80.256000 * Location: Central-East * Method/Device: Multiple investigations (MULT)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventLehmann, Nele
IdentificationIDLehmann, NeleID of sampling location of both erosion rate and alkalinity
BasinBasinLehmann, NeleBased on OCTOPUS data base
Area/localityAreaLehmann, NeleBased on OCTOPUS data base
CountryCountryLehmann, NeleBased on OCTOPUS data base
LONGITUDELongitudeLehmann, NeleBased on OCTOPUS data baseGeocode
LATITUDELatitudeLehmann, NeleBased on OCTOPUS data baseGeocode
ELEVATIONElevationm a.s.l.Lehmann, NeleBased on OCTOPUS data baseGeocode
Slope gradient, meanMean slope gradientm/kmLehmann, NeleBased on OCTOPUS data base
10 Sample IDSample IDLehmann, NeleBased on OCTOPUS data baseID of erosion rate sampling location, taken from the OCTOPUS data base
11 Sample IDSample IDLehmann, NeleBased on OCTOPUS data baseOriginal erosion rate sample identifier (as published), taken from the OCTOPUS data base
12 Reference/sourceReferenceLehmann, NeleBased on OCTOPUS data baseerosion
13 Erosion rateErosion ratemm/kaLehmann, NeleBased on OCTOPUS data base
14 Number of measurementsn#Lehmann, NeleNumber of erosion rate measurements per location
15 Erosion rate, standard deviationErosion rate std dev±Lehmann, Nele
16 Sample IDSample IDLehmann, NeleID of alkalinity sample provided as part of the compilation
17 Sample IDSample IDLehmann, NeleOriginal alkalinity sample identifier (as published)
18 Reference/sourceReferenceLehmann, Nelealkalinity
19 Alkalinity, totalATµmol/lLehmann, Nele
20 Number of measurementsn#Lehmann, NeleNumber of alkalinity measurements per location
21 Alkalinity, total, standard deviationAT std dev±Lehmann, Nele
22 CommentCommentLehmann, NeleM: alkalinity was measured; C: alkalinity was calculated
23 CommentCommentLehmann, NeleTA: alkalinity equals total alkalinity; HCO3 or HCO3_CO3: alkalinity equals bicarbonate
24 Alkalinity, normalizedAT normmol/m4/aLehmann, Nele
25 Carbon, inorganic, dissolvedDICµmol/lLehmann, Nele
26 Temperature, waterTemp°CLehmann, Nele
27 Conductivity, electricalCond electrµS/cmLehmann, Nele
28 Turbidity (Formazin nephelometric unit)TurbidityFNULehmann, Nele
29 Soil thicknessSoil thickcmLehmann, NeleBased on Global depth to bedrock (DTB) dataset
30 Carbonate sedimentary rocksCarbonate sed rocks%Lehmann, NeleBased on Global lithological map database (GLiM)
31 Sedimentary rockSedim rock%Lehmann, NeleBased on Global lithological map database (GLiM)mixed
32 MetamorphiteMetam%Lehmann, NeleBased on Global lithological map database (GLiM)with presence of carbonate
33 MetamorphiteMetam%Lehmann, NeleBased on Global lithological map database (GLiM)
34 SedimentsSediments%Lehmann, NeleBased on Global lithological map database (GLiM)unconsolidated
35 Siliciclastic sedimentary rocksSiliciclastic sed rocks%Lehmann, NeleBased on Global lithological map database (GLiM)
36 EvaporiteEvaporite%Lehmann, NeleBased on Global lithological map database (GLiM)
37 PyroclasticsPyroclastics%Lehmann, NeleBased on Global lithological map database (GLiM)
38 Volcanic rocks, acidicVolc rocks acidic%Lehmann, NeleBased on Global lithological map database (GLiM)
39 Volcanic rocks, basicVolc rocks basic%Lehmann, NeleBased on Global lithological map database (GLiM)
40 Volcanic rocks, intermediateVolc rocks intermed%Lehmann, NeleBased on Global lithological map database (GLiM)
41 Plutonic rocks, acidicPlutonic rocks acidic%Lehmann, NeleBased on Global lithological map database (GLiM)
42 Plutonic rocks, basicPlutonic rocks basic%Lehmann, NeleBased on Global lithological map database (GLiM)
43 Plutonic rocks, intermediatePlutonic rocks intermed%Lehmann, NeleBased on Global lithological map database (GLiM)
44 Water bodiesWater bodies%Lehmann, NeleBased on Global lithological map database (GLiM)
45 Ice and glaciersIce + glaciers%Lehmann, NeleBased on Global lithological map database (GLiM)
46 SumSum%Lehmann, NeleBased on Global lithological map database (GLiM)rocks
47 SumSum%Lehmann, NeleBased on Global lithological map database (GLiM)carbonate containing rock types
48 RunoffRunoffmmLehmann, NeleBased on UNH/GRDC runoff compositesmean annual
49 Temperature, annual meanMAT°CLehmann, NeleBased on WorldClim 2
50 Snow and ice, permanentPerm snow + ice%Lehmann, NeleBased on GlobCover
51 Catchment areaCatch areakm2Lehmann, Nele
52 Precipitation, annual meanMAPmmLehmann, NeleBased on WorldClim 2
53 Catchment, affected by damsDams extent%Lehmann, NeleGOODD (global dataset of more than 38,000 georeferenced dams)
Size:
10929 data points

Data

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


Event

ID
(ID of sampling location of bo...)

Basin
(Based on OCTOPUS data base)

Area
(Based on OCTOPUS data base)

Country
(Based on OCTOPUS data base)

Longitude
(Based on OCTOPUS data base)

Latitude
(Based on OCTOPUS data base)

Elevation [m a.s.l.]
(Based on OCTOPUS data base)

Mean slope gradient [m/km]
(Based on OCTOPUS data base)
10 
Sample ID
(ID of erosion rate sampling l...)
11 
Sample ID
(Original erosion rate sample ...)
12 
Reference
(erosion, Based on OCTOPUS dat...)
13 
Erosion rate [mm/ka]
(Based on OCTOPUS data base)
14 
n [#]
(Number of erosion rate measur...)
15 
Erosion rate std dev [±]
16 
Sample ID
(ID of alkalinity sample provi...)
17 
Sample ID
(Original alkalinity sample id...)
18 
Reference
(alkalinity)
19 
AT [µmol/l]
20 
n [#]
(Number of alkalinity measurem...)
21 
AT std dev [±]
22 
Comment
(M: alkalinity was measured; C...)
23 
Comment
(TA: alkalinity equals total a...)
24 
AT norm [mol/m4/a]
25 
DIC [µmol/l]
26 
Temp [°C]
27 
Cond electr [µS/cm]
28 
Turbidity [FNU]
29 
Soil thick [cm]
(Based on Global depth to bedr...)
30 
Carbonate sed rocks [%]
(Based on Global lithological ...)
31 
Sedim rock [%]
(mixed, Based on Global lithol...)
32 
Metam [%]
(with presence of carbonate, B...)
33 
Metam [%]
(Based on Global lithological ...)
34 
Sediments [%]
(unconsolidated, Based on Glob...)
35 
Siliciclastic sed rocks [%]
(Based on Global lithological ...)
36 
Evaporite [%]
(Based on Global lithological ...)
37 
Pyroclastics [%]
(Based on Global lithological ...)
38 
Volc rocks acidic [%]
(Based on Global lithological ...)
39 
Volc rocks basic [%]
(Based on Global lithological ...)
40 
Volc rocks intermed [%]
(Based on Global lithological ...)
41 
Plutonic rocks acidic [%]
(Based on Global lithological ...)
42 
Plutonic rocks basic [%]
(Based on Global lithological ...)
43 
Plutonic rocks intermed [%]
(Based on Global lithological ...)
44 
Water bodies [%]
(Based on Global lithological ...)
45 
Ice + glaciers [%]
(Based on Global lithological ...)
46 
Sum [%]
(rocks, Based on Global lithol...)
47 
Sum [%]
(carbonate containing rock typ...)
48 
Runoff [mm]
(mean annual, Based on UNH/GRD...)
49 
MAT [°C]
(Based on WorldClim 2)
50 
Perm snow + ice [%]
(Based on GlobCover)
51 
Catch area [km2]
52 
MAP [mm]
(Based on WorldClim 2)
53 
Dams extent [%]
(GOODD (global dataset of more...)
Tauernbach m1TauernbachCentral Eastern AlpsAUT12.52747711047.0862534002376.97500.72S069WTS030TauernNorton et al. (2011)1325.010.0bebeLehmann et al. (2022)34410MTA0.37535712.355.158.80862.9640.0000.0001.94576.8220.0000.00000.0000.0000.0000.00021.2330.0000.0000.0000.0001001.945916.024-0.5044.567124.3461424.20.0
Muelbach m2MuelbachCentral Eastern AlpsAUT12.37670222047.2778221501667.28406.50S069WTS020MuehlNorton et al. (2011)804.310.0vvLehmann et al. (2022)93210MTA1.14195113.5102.74.131173.3800.0000.0000.00095.0230.0000.00000.0000.0004.9770.0000.0000.0000.0000.0000.0001000.000816.2953.9520.00046.8031233.70.0
Hollersbch m3HollersbchCentral Eastern AlpsAUT12.41998448047.2736187801968.98558.09S069WTS014HoellerNorton et al. (2011)890.02321.4u-1u-1Lehmann et al. (2022)55810MTA0.68457013.674.43.51990.3990.0000.0000.00097.1970.0000.00000.0000.0000.0000.0002.8030.0000.0000.0000.0001000.000816.2951.9360.005104.5261285.40.0
Wattenbach m4WattenbachCentral Eastern AlpsAUT11.59699824047.2786171601933.84451.03S069WTS031WattenNorton et al. (2011)504.510.0wwLehmann et al. (2022)144410MTA1.903143310.9222.015.901069.78515.4570.0000.82581.5770.0000.00000.0000.0002.1400.0000.0000.0000.0000.0000.00010016.282758.8173.5640.000102.6171154.60.0
Koralpe_Mts m5Koralpe Mts.Eastern AlpsAUT15.37076268047.359142770983.93405.90S121WTS013MooskogelDixon et al. (2016)94.510.072FW61404597Federal Ministry of Agriculture, Regions and Tourism (BMLRT), Austria31006295MTA4.8471610.40424.5630.0000.00025.43750.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010024.563639.6276.4660.000117.4581105.50.0
Styrian_Basin m6Styrian BasinEastern AlpsAUT15.59176205046.903381970386.84118.91S121WTS024StiefingDixon et al. (2016)96.910.045FW61403557Federal Ministry of Agriculture, Regions and Tourism (BMLRT), Austria321712563MTA10.7592007.1180.000100.0000.0000.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.000100100.000298.9648.9180.000100.195886.30.0
Meuse m7MeuseMiddle EuropeBEL4.87837181050.321749040278.0014.96S009WTS030meu-9Schaller et al. (2001)27.910.09FleurRoland, Borges (unpublished)30197676MTA9.8741617.28620.4062.0120.0000.00050.07127.51200.0000.0000.0000.0000.0000.0000.0000.0000.00010022.417305.7829.1840.00018866.097885.82.2
Grande_Riv m8Grande Riv.Cenral AndesBOL-63.400717000-18.9103329402508.41272.14S127WTS050RG-01Kober et al. (2015)102.210.0C1614 (Abapo)Elbaz-Poulichet et al. (1999)182010MTA8.612875.5330.12996.0750.0000.0000.0000.98900.0000.0000.0002.7330.0730.0000.0000.0000.00010096.204211.32216.7380.00062911.302620.83.9
Rio_Hercilio m9Rio HercilioSanta CatarinaBRA-49.530038070-27.060837570612.37184.48S133WTS015BRA45Gonzalez et al. (2016)15.710.041201755Hartmann et al. (2014)38015144MTA0.5241162.8383.0000.0000.0002.0000.00093.00000.0000.0000.0000.0000.0000.0000.0000.0000.000983.000724.66017.7500.0003742.9781483.30.0
Rio_Itajai-Acu m10Rio Itajai-AcuSanta CatarinaBRA-49.099179090-26.875850220591.70178.92S133WTS014BRA44Gonzalez et al. (2016)18.310.042201762Hartmann et al. (2014)40116217MTA0.5291252.3902.0000.0000.3678.6331.00079.00000.0004.0000.6380.0001.0000.0000.0000.0000.000972.367758.31017.8100.00013237.9661534.23.0
Pomba_Riv m11Pomba Riv.Rio de JaneiroBRA-42.205006390-21.513236070482.17187.61S133WTS007BRA19Gonzalez et al. (2016)15.910.043201127Hartmann et al. (2014)3055965MTA0.7591727.5290.0000.0000.00081.0000.2650.00000.0000.0000.0000.00015.0002.0000.0270.0000.000980.000401.15021.6700.0008634.4301372.120.2
Muriae_Riv m12Muriae Riv.Rio de JaneiroBRA-41.781713210-21.254996870522.33221.65S133WTS008BRA20Gonzalez et al. (2016)11.910.0N3201155Hartmann et al. (2014)3046052MTA0.9901661.3000.0000.0000.00064.0000.0000.00000.0000.0000.0000.00035.0000.0000.0000.0000.000990.000306.76020.7900.0006793.4651298.60.0
Itajai_do_Sul_Riv m13Itajai do Sul Riv.Santa CatarinaBRA-49.620780460-27.330057110694.73180.32S133WTS017BRA47Gonzalez et al. (2016)16.110.040201751Hartmann et al. (2014)46112244MTA0.5601235.8786.0000.0000.0000.0000.00093.00000.0000.0000.1630.0000.0000.0000.0000.0000.000996.000822.50017.1300.0002083.0401578.50.0
Jequitinhonha m14JequitinhonhaSouthern Espinhaco RangeBRA-43.497392000-18.4954050001090.27154.95S092WTS009J01Barreto et al. (2013)4.310.044200869Hartmann et al. (2014)891148MTA0.1582159.8470.0000.0000.0009.0001.00075.00000.0000.0000.0003.0000.6749.0000.0000.0000.000980.000562.94019.4400.000105.4221445.80.0
Sense m15SenseSwiss AlpsCHE7.32094718346.8222713001292.70315.51S037WTS028SenseWittmann et al. (2007)231.310.07575Lehmann et al. (2022)330210MTA3.025318321.5457.01.761572.97359.07223.1740.0000.00017.4690.00000.0000.0000.0000.0000.0000.0000.0000.2850.00010082.2461091.6476.1110.000235.5151251.00.0
Chietalbach m16ChietalbachSwiss AlpsCHE8.30165085846.5041942402365.18456.41S037WTS004ChieWittmann et al. (2007)762.110.0aaaaLehmann et al. (2022)22610MTA0.1642359.635.363.70791.7213.8304.1550.00049.0603.4913.47200.0000.0000.0000.00020.0940.0000.0000.44715.4501007.9851375.608-0.3093.954224.3821141.71.6
Lonza m17LonzaSwiss AlpsCHE7.78552884546.4029769502542.89560.12S037WTS010LonzaWittmann et al. (2007)1526.210.0awawLehmann et al. (2022)44810MTA0.54645512.8100.4210.701047.0363.6040.0000.00064.1076.1420.00000.0000.0000.0000.0007.4090.0000.0000.00018.7391003.604820.621-1.3091.413149.529930.20.0
Anza m18AnzaSwiss AlpsCHE8.26231220646.0228889901781.65615.51S037WTS001AnzaWittmann et al. (2007)718.310.0babaLehmann et al. (2022)15710MTA0.13617714.346.251.901444.1880.0000.00028.67164.5240.0000.00000.0000.0000.0000.0000.0006.8010.0000.0000.00510028.6711154.2973.0581.667369.187863.536.9
Emme m19EmmeSwiss AlpsCHE7.63611066347.032608380984.50242.80S037WTS005EmmeWittmann et al. (2007)208.410.07474Lehmann et al. (2022)402510MTA3.114391321.6396.02.721801.0484.32374.7930.0000.00020.8840.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010079.1161292.5207.0460.000995.8031311.80.0
Toce m20ToceSwiss AlpsCHE8.32502656346.1765471001938.92532.93S037WTS033Toce-aWittmann et al. (2007)1004.22343.9bc-1bc-1Lehmann et al. (2022)121210MTA0.832121014.8269.01.381211.7120.1550.22460.06930.6458.1960.00000.0000.0000.0040.0000.0000.7060.0000.0000.00110060.4481457.4882.2390.540522.1831107.643.2
Furkareuss m21FurkareussSwiss AlpsCHE8.49204881046.5867712802496.75445.21S037WTS006FurkaWittmann et al. (2007)1251.310.0ayayLehmann et al. (2022)28310MTA0.20930110.443.236.40595.0012.8120.9200.00031.9705.51817.13400.0000.0000.0000.00025.9740.0000.0000.00015.6731003.7321349.281-1.0741.33540.2551237.30.0
Milibach m22MilibachSwiss AlpsCHE8.09977061246.3722636002017.66604.50S037WTS007GrenWittmann et al. (2007)1135.410.08383Lehmann et al. (2022)270310MTA1.854253213.9368.014.43897.07086.3426.1680.0002.7390.7833.96800.0000.0000.0000.0000.0000.0000.0000.0000.00010092.5101457.4880.9480.0008.3851000.00.0
Upper_Rhone m23Upper RhoneSwiss AlpsCHE8.21628728846.4478515502179.73445.05S058WTS014SpiNorton et al. (2010)583.410.0agagLehmann et al. (2022)58610MTA0.40260114.378.11.37960.4740.0000.0000.00095.8960.9743.13100.0000.0000.0000.0000.0000.0000.0000.0000.0001000.0001457.4880.6580.0004.6211089.00.0
Upper_Rhonem24Upper RhoneSwiss AlpsCHE8.26218926946.4904681502487.14549.83S058WTS007MinsNorton et al. (2010)2831.810.0adadLehmann et al. (2022)10710MTA0.07811610.917.1206.00900.2500.0000.0000.00046.2431.3530.00000.0000.0000.0000.00034.5560.0000.0000.00017.8481000.0001367.5190.0840.00020.6621087.20.0
Upper_Rhonem25Upper RhoneSwiss AlpsCHE8.23545227246.4658282902484.93577.56S058WTS008RecNorton et al. (2010)1298.110.0aeaeLehmann et al. (2022)14610MTA0.10216111.8123.444.70993.5270.0000.0000.00056.2945.8380.00000.0000.0000.0000.00035.4620.0000.0000.0002.4061000.0001429.8030.2532.43513.1491081.90.0
Upper_Rhonem26Upper RhoneSwiss AlpsCHE8.28307058446.4986357302336.80535.13S058WTS006GesNorton et al. (2010)405.910.0acacLehmann et al. (2022)19110MTA0.14221111.329.24.13948.5400.0000.0000.00069.7693.8800.00000.0000.0000.0000.00026.3520.0000.0000.0000.0001000.0001349.7040.0490.0007.0911089.00.0
Upper_Rhonem27Upper RhoneSwiss AlpsCHE8.19798884246.4419281602383.34429.14S058WTS011WilNorton et al. (2010)83.610.0ajajLehmann et al. (2022)32310MTA0.22234814.747.83.501223.2020.0000.0000.00088.9877.2400.00000.0000.0000.0000.0003.7740.0000.0000.0000.0001000.0001457.4880.6270.0006.0071002.50.0
Upper_Rhonem28Upper RhoneSwiss AlpsCHE8.32461391346.5220583602758.00168.68S058WTS001MilNorton et al. (2010)462.910.0yyLehmann et al. (2022)24310MTA0.18025713.735.21.44479.4330.7380.0000.00061.8210.0000.00000.0000.0000.0000.00037.4410.0000.0000.0000.0001000.7381349.2810.0110.0005.9291089.00.0
Upper_Rhonem29Upper RhoneSwiss AlpsCHE8.22885269546.4537122102196.16536.62S058WTS013RitzNorton et al. (2010)276.610.0afafLehmann et al. (2022)59710MTA0.40960711.874.22.59930.3532.3520.6420.00094.6440.6391.72400.0000.0000.0000.0000.0000.0000.0000.0000.0001002.9941457.4880.6430.0005.6451089.00.0
Upper_Rhonem30Upper RhoneSwiss AlpsCHE8.30718615146.5113484202478.33245.84S058WTS002OberNorton et al. (2010)348.710.0zzLehmann et al. (2022)26910MTA0.19929911.538.93.25784.4030.9810.0000.00073.5971.0790.00000.0000.0000.0000.00024.3430.0000.0000.0000.0001000.9811349.2810.0110.0005.3701089.00.0
Upper_Rhonem31Upper RhoneSwiss AlpsCHE8.29302749946.5020996302313.35491.76S058WTS003Nider1Norton et al. (2010)140.710.0ababLehmann et al. (2022)15710MTA0.11718111.025.12.52742.9670.0000.0000.00069.4654.3590.00000.0000.0000.0000.00026.1750.0000.0000.0000.0001000.0001349.2810.0220.0005.0431089.00.0
Upper_Rhonem32Upper RhoneSwiss AlpsCHE8.18966784346.4320717202071.87482.46S058WTS016BetNorton et al. (2010)1338.410.0akakLehmann et al. (2022)65110MTA0.4476669.482.30.731210.7730.0000.0000.00092.5200.5546.92700.0000.0000.0000.0000.0000.0000.0000.0000.0001000.0001457.4880.6770.0003.6141085.90.0
Upper_Rhonem33Upper RhoneSwiss AlpsCHE8.20629076746.4477944102147.25511.59S058WTS009HilNorton et al. (2010)309.110.0aiaiLehmann et al. (2022)53410MTA0.36656616.575.78.871372.5120.0000.0000.00091.5808.4200.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.0001457.4880.6100.0002.6941031.30.0
Upper_Rhonem34Upper RhoneSwiss AlpsCHE8.17302139646.4195118101874.04539.04S058WTS017LouNorton et al. (2010)848.910.0alalLehmann et al. (2022)106210MTA0.729107411.3133.81.771423.0260.0000.0000.00093.0870.0006.91300.0000.0000.0000.0000.0000.0000.0000.0000.0001000.0001457.4880.7020.0002.0831002.10.0
Kander_Riv m35Kander Riv., FrutigenBernese OberlandCHE7.66371440346.6113651201529.03500.40S160WTS002N2Chittenden et al. (2014)46.410.08181Lehmann et al. (2022)260710MTA1.883248217.3254.02.261724.56594.9530.0000.0000.0005.0470.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010094.9531384.9444.4030.0005.8351146.00.0
Kander_Rivm36Kander Riv., FrutigenBernese OberlandCHE7.65284276846.6079567901706.89518.00S160WTS003N3Chittenden et al. (2014)242.510.08080Lehmann et al. (2022)247810MTA1.789239118.3240.01.061474.15497.9940.0000.0000.0002.0060.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010097.9941384.9444.2650.0005.6971146.00.0
Simme_Riv m37Simme Riv., DiemtigenBernese OberlandCHE7.56453719446.6329470901692.84394.50S160WTS006N8Chittenden et al. (2014)194.910.07878Lehmann et al. (2022)278310MTA2.009271211.8299.01.081406.57287.3090.0000.0000.00012.6910.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010087.3091384.9444.5080.0003.2361198.00.0
Kander_Rivm38Kander Riv., FrutigenBernese OberlandCHE7.63788559846.5954283001519.32559.01S160WTS004N4Chittenden et al. (2014)137.710.07979Lehmann et al. (2022)247510MTA1.787237818.4242.02.601448.48198.9150.0000.0000.0001.0850.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010098.9151384.9444.1890.0003.5971150.30.0
Simme_Rivm39Simme Riv., DiemtigenBernese OberlandCHE7.56027075746.6087512801895.16376.16S160WTS005N5Chittenden et al. (2014)311.010.07777Lehmann et al. (2022)251210MTA1.814242413.9238.03.421260.87698.3310.0000.0000.0001.6690.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010098.3311384.9444.5160.0002.9781198.00.0
Simme_Rivm40Simme Riv., DiemtigenBernese OberlandCHE7.55382185446.5895501601852.02537.94S160WTS007N9Chittenden et al. (2014)113.610.07676Lehmann et al. (2022)217910MTA1.57321419.2214.03.751179.20186.1180.0000.0000.00013.8820.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010086.1181384.9444.4980.00018.8891197.20.0
Kleine_Emme m41Kleine EmmeSwiss AlpsCHE8.22010699647.0469731901074.49283.21S037WTS009Klem-bWittmann et al. (2007)375.7268.019. Jan2425National River Monitoring and Survey Programme (NADUF), Federal Office for the Environment (FOEN), Switzerland (2019)3056351465MTA2.7001760.6459.26734.0330.0000.00056.7000.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010043.3001131.6266.8060.000651.6311389.10.0
Yarlung_Tsangpo m42Yarlung TsangpoNamche Barwa-Gyala Peri MassifCHN94.93543600029.6039510004871.58325.20S045WTS012NB-8-04Finnegan et al. (2008)121.810.039520228Hartmann et al. (2014)80010CHCO3_CO31.4701173.2280.0000.0005.32894.6720.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001005.328544.3201.56058.000239472.773525.074.9
Nyang_Riv m43Nyang Riv.Namche Barwa-Gyala Peri MassifCHN94.32713300029.7072260004740.47528.20S045WTS011NB-7-04Finnegan et al. (2008)227.310.038520190Hartmann et al. (2014)21010CHCO3_CO31.004529.7160.0000.00012.42149.5793.00034.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009912.421209.2001.83040.00018786.938470.20.0
Alaknanda m44AlaknandaUpper GangesCHN79.50335000030.5240450004646.28581.09S016WTS002AK82Vance et al. (2003)3951.710.026520393Hartmann et al. (2014)713237CHCO3_CO30.5291054.0533.00015.0000.00068.0000.0004.00000.0000.0002.0000.0005.0000.0000.0000.0000.0009718.0001347.630-0.35015.0005414.189937.30.0
So_o_Riv m45So_o Riv.South CameroonCMR11.4733936903.324149690693.0856.93S120WTS006PSOORegard et al. (2016)2.010.0E22So'oMoustapha et al. (2021)742234MTA0.169447.4010.0000.0000.0000.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000437.72923.4790.0003097.6111673.80.0
Nyong_Riv m46Nyong Riv.South CameroonCMR11.3048611103.419027778696.2454.86S120WTS009OLAMRegard et al. (2016)2.910.0N20410004Hartmann et al. (2014)10210643MTA0.257292.7210.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000395.88023.6000.00019425.3571636.40.0
Nyong_Rivm47Nyong Riv.South CameroonCMR11.5022856903.510858015696.7750.91S120WTS008MBALRegard et al. (2016)3.410.0N19410002Hartmann et al. (2014)1099359MTA0.297232.2770.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000366.52023.6000.00014527.4251600.10.0
Nyong_Rivm48Nyong Riv.South CameroonCMR12.5374610003.898356763700.5246.09S120WTS001AYOSRegard et al. (2016)2.010.0N17410007Hartmann et al. (2014)123114MTA0.033228.1740.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000362.81023.3800.0006040.7271588.50.0
Mengong_Riv m49Mengong Riv.South CameroonCMR11.8337500003.163944444693.1134.83S120WTS002EXUTRegard et al. (2016)1.610.0N18410006Hartmann et al. (2014)185211163MTA0.444442.4120.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000416.20123.4990.0003.4421648.70.0
Regen m50RegenDanube catchment (BY)DEU12.12085752049.121429350430.2175.95S009WTS001reg-5Schaller et al. (2001)23.410.0D41D41Lehmann et al. (2022)50210MTA1.61657116.9158.38.331721.8756.4262.9210.00065.5622.8470.36200.0000.0000.0000.00018.1081.6642.0340.0770.0001009.347310.3816.9750.0004141.463900.90.8
Regenm51RegenDanube catchment (BY)DEU12.39988949049.180614580466.3290.19S009WTS002reg-7Schaller et al. (2001)22.710.0D37D37Lehmann et al. (2022)56410MTA1.75763016.2168.79.871700.3522.5520.0390.00075.7802.4990.00000.0000.0000.0000.00014.9981.9692.0720.0910.0001002.591320.8186.7930.0003498.566939.30.9
Regenm52RegenDanube catchment (BY)DEU13.25472681049.014619130868.61155.05S009WTS013reg-19-2Schaller et al. (2001)23.320.0D38-1D38-1Lehmann et al. (2022)17310MTA0.3492239.889.22.481566.5580.0000.0000.00080.2350.0000.00000.0000.0000.0000.00019.0850.0000.0000.6800.0001000.000495.0896.0070.000165.2651127.619.1
Regenm53RegenDanube catchment (BY)DEU12.73618545049.186902550548.43134.82S009WTS006reg-12DSchaller et al. (2001)24.030.5D40-1D40-1Lehmann et al. (2022)34810MTA0.94140216.3235.03.831632.4450.0000.0000.00082.0990.0000.00000.0000.0000.0000.00016.2250.0001.5220.1530.0001000.000369.7436.4140.0002070.1901028.51.5
Regenm54RegenDanube catchment (BY)DEU12.83799013049.145738120670.11142.38S009WTS008reg-14Schaller et al. (2001)20.510.0D36D36Lehmann et al. (2022)33910MTA0.83741915.4156.44.671632.9590.0000.0000.00079.6400.0000.00000.0000.0000.0000.00018.4770.0001.7170.1670.0001000.000405.2396.3070.0001515.1121065.42.1
Regenm55RegenDanube catchment (BY)DEU12.73825798049.242803860525.41112.43S009WTS003reg-11Schaller et al. (2001)18.910.0D35D35Lehmann et al. (2022)100410MTA3.864109714.2330.07.841714.8860.0000.0000.00076.0174.7060.00000.0000.0000.0000.0001.48411.6916.1020.0000.0001000.000259.7126.9970.000591.224834.60.0
Regenm56RegenDanube catchment (BY)DEU12.84445734049.171221500697.38178.93S009WTS007reg-13Schaller et al. (2001)25.010.0D44D44Lehmann et al. (2022)29910MTA1.02337012.2135.73.111615.2820.0000.0000.00097.0130.0000.00000.0000.0000.0000.0002.5210.0000.4660.0000.0001000.000291.9136.5130.000350.329943.00.0
Regenm57RegenDanube catchment (BY)DEU13.23256733049.048261990902.72183.41S009WTS009reg-18ASchaller et al. (2001)27.332.0D45-1D45-1Lehmann et al. (2022)14310MTA0.40518010.069.62.031390.7240.0000.0000.00094.5210.0000.00000.0000.0000.0000.0005.4790.0000.0000.0000.0001000.000353.6995.8220.000244.5151115.80.0
Regenm58RegenDanube catchment (BY)DEU13.21526495049.010734340676.28130.90S009WTS014reg-20Schaller et al. (2001)27.210.0D47D47Lehmann et al. (2022)17910MTA0.43622910.798.51.541499.1030.0000.0000.00089.6350.0000.00000.0000.0000.0000.00010.1150.0000.0000.2500.0001000.000409.2285.9120.000449.6731121.37.0
Mohne m59MohneRhenish Massif (NRW)DEU8.19018500051.478720000291.7377.22S062WTS00506D17Meyer et al. (2010)64.310.0D74D74Lehmann et al. (2022)363710MTA4.114364915.3760.06.981702.73915.69712.0230.00011.6380.00060.25800.0000.0000.3850.0000.0000.0000.0000.0000.00010027.719884.0417.8020.000471.0341041.40.0
Mohnem60MohneRhenish Massif (NRW)DEU8.30861300051.491598000409.1289.02S062WTS01007D21Meyer et al. (2010)40.910.0D70D70Lehmann et al. (2022)387310MTA4.355384913.8787.04.081734.00215.98613.9590.00013.4580.00056.15100.0000.0000.4450.0000.0000.0000.0000.0000.00010029.945889.4527.7280.000407.2621056.60.0
Mohnem61MohneRhenish Massif (NRW)DEU8.46075300051.487683000442.7791.58S062WTS00305D1Meyer et al. (2010)48.510.0D73D73Lehmann et al. (2022)117710MTA1.269140015.9229.011.101971.59722.72723.5140.00011.3530.00040.93600.0000.0001.4690.0000.0000.0000.0000.0000.00010046.242927.4457.5240.000123.4301078.40.0
Wutach m62WutachBlack Forest (BW)DEU8.27609683447.859065300834.8962.85S018WTS008Wut8Morel et al. (2003)13.810.0D3D3Lehmann et al. (2022)3210MTA0.0331577.590.74.081675.8320.0000.0000.0000.0000.00078.80700.0000.0000.0000.00021.1930.0000.0000.0000.0001000.000964.9506.3660.0002.2561374.00.0
Wutachm63WutachBlack Forest (BW)DEU8.21809513247.9051213401052.63240.92S018WTS002Wut5Morel et al. (2003)34.410.0D11D11Lehmann et al. (2022)11310MTA0.1171448.538.91.411261.8750.0000.0000.0000.0000.0000.00000.0000.0000.0000.000100.0000.0000.0000.0000.0001000.000964.9505.9460.0002.2041382.00.0
Gutach m64GutachBlack Forest (BW)DEU8.21406400048.239915000722.64270.55S056WTS01506D15Meyer et al.(2010)69.010.0D31D31Lehmann et al. (2022)46210MTA0.5055029.5117.53.391647.6660.0000.0000.0007.5980.0005.63700.0000.0000.0000.00086.7650.0000.0000.0000.0001000.000913.6147.0370.000217.9141342.00.0
Gutachm65GutachBlack Forest (BW)DEU8.23971600048.150359000922.01172.33S056WTS02008D22Meyer et al.(2010)65.610.0D29D29Lehmann et al. (2022)42110MTA0.46145911.5109.53.971817.7150.0000.0000.00013.5710.0001.72600.0000.0000.0000.00084.7030.0000.0000.0000.0001000.000913.6146.2180.00082.7151402.80.0
Acher m66AcherBlack Forest (BW)DEU8.12673900048.584761000644.46297.25S056WTS00206D4Meyer et al.(2010)44.310.0D18D18Lehmann et al. (2022)25110MTA0.46534314.490.21.661588.4080.0000.0000.0004.4640.00015.08100.0007.5420.0000.00072.9130.0000.0000.0000.0001000.000538.8447.7950.00079.6681619.30.0
Acherm67AcherBlack Forest (BW)DEU8.14084400048.569325000499.11272.28S056WTS00607D5Meyer et al.(2010)70.710.0D32D32Lehmann et al. (2022)23910MTA0.44329513.8163.61.761542.4250.0000.0000.0000.0000.0000.00000.00011.4130.0000.00088.5870.0000.0000.0000.0001000.000538.8448.4610.00015.8641253.20.0
Acherm68AcherBlack Forest (BW)DEU8.16107800048.568768000762.45307.61S056WTS00808D23Meyer et al.(2010)50.310.0D21D21Lehmann et al. (2022)17310MTA0.32120411.593.33.711581.7950.0000.0000.0007.5610.00025.52600.0008.9220.0000.00057.9910.0000.0000.0000.0001000.000538.8447.4590.00047.0521832.90.0
Gutachm69GutachBlack Forest (BW)DEU8.25370700048.132081000876.32201.24S056WTS01006D10Meyer et al.(2010)64.910.0D28D28Lehmann et al. (2022)65210MTA0.71367711.3142.83.591733.8640.0000.0000.0007.7300.0006.49400.0000.0000.0000.00085.7760.0000.0000.0000.0001000.000913.6146.1140.00021.9771403.00.0
Gutachm70GutachBlack Forest (BW)DEU8.29700800048.207246000840.03123.00S056WTS01908D10Meyer et al.(2010)45.210.0D20D20Lehmann et al. (2022)21310MTA0.23335210.249.32.371552.2950.0000.0000.0000.0000.00097.20000.0000.0000.0000.0002.8000.0000.0000.0000.0001000.000913.6147.6520.0002.2491299.00.0
Gutachm71GutachBlack Forest (BW)DEU8.21293700048.1063740001014.34114.64S056WTS01106D11Meyer et al.(2010)39.210.0D14D14Lehmann et al. (2022)32810MTA0.35942513.295.32.581969.3360.0000.0000.00058.6360.0000.00000.0000.0000.0000.00041.3640.0000.0000.0000.0001000.000913.6146.0940.00015.5581403.00.0
Gutachm72GutachBlack Forest (BW)DEU8.22837900048.131914000930.62164.77S056WTS01607D9Meyer et al.(2010)59.510.0D25D25Lehmann et al. (2022)46110MTA0.50449511.0118.03.421858.5300.0000.0000.0000.0000.0000.00000.0000.0000.0000.000100.0000.0000.0000.0000.0001000.000913.6146.4570.00014.9431401.80.0
Gutachm73GutachBlack Forest (BW)DEU8.24827800048.214709000736.83282.77S056WTS01406D14Meyer et al.(2010)44.310.0D19D19Lehmann et al. (2022)22910MTA0.2512718.759.10.761460.1720.0000.0000.0000.0000.0007.48500.0000.0000.0000.00092.5150.0000.0000.0000.0001000.000913.6147.3800.00014.3381299.00.0
Acherm74AcherBlack Forest (BW)DEU8.19605700048.578201000857.84325.81S056WTS00306D8Meyer et al.(2010)51.410.0D22D22Lehmann et al. (2022)15210MTA0.2821898.7107.350.301540.5210.0000.0000.0000.0000.00053.94500.0006.3290.0000.00039.7260.0000.0000.0000.0001000.000538.8447.1520.00014.3251860.00.0
Gutachm75GutachBlack Forest (BW)DEU8.22756200048.186311000824.40229.53S056WTS01306D13Meyer et al.(2010)52.110.0D23D23Lehmann et al. (2022)16310MTA0.1792079.752.70.681398.1600.0000.0000.0000.0000.0000.00000.0000.0000.0000.000100.0000.0000.0000.0000.0001000.000913.6147.3550.00011.4681299.00.0
Gutachm76GutachBlack Forest (BW)DEU8.21309300048.234256000598.41311.76S056WTS01808D4Meyer et al.(2010)60.210.0D26D26Lehmann et al. (2022)28810MTA0.3153239.767.51.851553.9310.0000.0000.00050.2040.0000.00000.0000.0000.0000.00049.7960.0000.0000.0000.0001000.000913.6148.1320.00010.6071299.00.0
Gutachm77GutachBlack Forest (BW)DEU8.20854500048.117648000990.18110.50S056WTS01206D12Meyer et al.(2010)32.910.0D9D9Lehmann et al. (2022)13310MTA0.14624612.444.82.141840.0560.0000.0000.0003.9170.0000.00000.0000.0000.0000.00096.0830.0000.0000.0000.0001000.000913.6146.2540.00010.1971402.90.0
Acherm78AcherBlack Forest (BW)DEU8.17339000048.597116000843.94292.29S056WTS00406D9Meyer et al.(2010)20.110.0D5D5Lehmann et al. (2022)6010MTA0.1111029.055.30.741527.4810.0000.0000.00017.9760.00036.37200.0000.0000.0000.00045.6530.0000.0000.0000.0001000.000538.8447.4880.0009.4931860.00.0
Acherm79AcherBlack Forest (BW)DEU8.15816700048.551791000641.91295.74S056WTS00106D1Meyer et al.(2010)57.010.0D24D24Lehmann et al. (2022)13210MTA0.24520911.570.81.251605.8320.0000.0000.0000.0000.0000.07500.0000.0000.0000.00099.9250.0000.0000.0000.0001000.000538.8447.6860.0008.6341558.40.0
Acherm80AcherBlack Forest (BW)DEU8.16214300048.568775000635.29334.13S056WTS00507D3Meyer et al.(2010)83.210.0D33D33Lehmann et al. (2022)41610MTA0.77148211.4104.465.801563.1110.0000.0000.0000.0000.0008.16300.00038.2680.0000.00053.5690.0000.0000.0000.0001000.000538.8447.5540.0008.0871838.60.0
Gutachm81GutachBlack Forest (BW)DEU8.23038300048.209645000676.19332.39S056WTS01707D14Meyer et al.(2010)66.110.0D30D30Lehmann et al. (2022)29010MTA0.31731610.357.32.441445.0490.0000.0000.0000.0000.0000.00000.0000.0000.0000.000100.0000.0000.0000.0000.0001000.000913.6147.6900.0005.4691299.00.0
Acherm82AcherBlack Forest (BW)DEU8.16393400048.589276000607.45254.73S056WTS00908D25Meyer et al.(2010)38.810.0D13D13Lehmann et al. (2022)20910MTA0.38727110.166.36.661599.8360.0000.0000.00046.2170.0000.00000.0000.0000.0000.00053.7830.0000.0000.0000.0001000.000538.8448.0200.0002.7501587.00.0
Wutachm83WutachBlack Forest (BW)DEU8.22277637247.864687890962.26201.80S018WTS001Wut4Morel et al. (2003)96.110.0D34D34Lehmann et al. (2022)29610MTA0.3074018.5128.83.701514.2830.0001.6500.00042.9900.0000.00000.0000.0003.2830.00052.0780.0000.0000.0000.0001001.650964.9506.0210.00057.6461591.00.0
Wutachm84WutachBlack Forest (BW)DEU8.28116316647.866910400908.5882.11S018WTS003Wut6Morel et al. (2003)34.210.0D10D10Lehmann et al. (2022)97610MTA1.01110236.2189.32.841427.9193.7370.0000.0005.5900.00061.63000.0000.0000.2570.00028.7860.0000.0000.0000.0001003.737964.9506.0480.00041.0421379.60.0
Wutachm85WutachBlack Forest (BW)DEU8.20066008647.939090950989.96194.02S018WTS010Wut10Morel et al. (2003)36.810.0D12D12Lehmann et al. (2022)47910MTA0.49757310.0103.13.232108.7830.0000.0000.00099.8210.0000.00000.0000.0000.0000.0000.1790.0000.0000.0000.0001000.000964.9505.9110.00029.3031407.10.0
Wutachm86WutachBlack Forest (BW)DEU8.16265041347.8795059301036.97177.31S018WTS005Wut9Morel et al. (2003)63.910.0D27D27Lehmann et al. (2022)22610MTA0.2343478.4149.33.941398.4060.0000.0000.00057.2200.0000.00000.0000.0000.0000.00042.7800.0000.0000.0000.0001000.000964.9505.9130.00024.2431737.00.0
Wutachm87WutachBlack Forest (BW)DEU8.45368902147.848231590789.8086.52S018WTS011Wut1Morel et al. (2003)59.010.07373Lehmann et al. (2022)244910MTA2.53824799.3488.04.331687.55521.4769.2180.00035.4760.00013.55400.0000.0001.8350.00018.1300.0000.0000.3110.00010030.694964.9506.2850.000526.4191393.10.0
Danube m88DanubeBlack Forest (BW)DEU8.24205374247.9829861201056.33150.25S018WTS012Don1Morel et al. (2003)29.310.0D7D7Lehmann et al. (2022)39710MTA0.41247010.177.67.811753.2750.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000964.9505.9370.0007.4041382.00.0
Danubem89DanubeBlack Forest (BW)DEU8.36681714147.948263980934.6153.19S018WTS014Don3Morel et al. (2003)9.710.0D1D1Lehmann et al. (2022)4010MTA0.0421928.063.14.231199.7420.0000.0000.0000.0000.00063.61000.0000.0000.0000.00036.3900.0000.0000.0000.0001000.000964.9506.2370.0007.0211380.30.0
Danubem90DanubeBlack Forest (BW)DEU8.25310864747.9612592801068.92140.25S018WTS013Don2Morel et al. (2003)28.610.0D6D6Lehmann et al. (2022)34310MTA0.3554458.866.66.511524.9640.0000.0000.00077.8460.0000.00000.0000.0000.0000.00022.1540.0000.0000.0000.0001000.000964.9505.9450.0004.1951382.00.0
Wutachm91WutachBlack Forest (BW)DEU8.32090948547.842519290890.88121.80S018WTS004Wut7Morel et al. (2003)41.610.0D16D16Lehmann et al. (2022)86310MTA0.8949348.5195.13.131625.0422.1211.1690.00052.9850.00013.32900.0000.0002.7510.00027.1780.0000.0000.4660.0001003.290964.9506.0230.000351.2131490.10.0
Wutachm92WutachBlack Forest (BW)DEU8.26204448547.869038500986.72190.51S018WTS007Wut12Morel et al. (2003)44.010.0D17D17Lehmann et al. (2022)58310MTA0.6046327.9183.32.501743.9570.0000.0300.00082.4650.0000.50500.0000.0002.5320.00013.6040.0000.0000.8650.0001000.030964.9505.9080.000189.4971522.00.0
Danubem93DanubeBlack Forest (BW)DEU8.36666666747.966666670939.9747.68S018WTS015Don4Morel et al. (2003)10.210.0D2D2Lehmann et al. (2022)25110MTA0.2603918.356.06.821277.5680.0000.0000.0000.0000.000100.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000964.9506.2620.0003.4901382.00.0
Heve m94HeveRhenish Massif (NRW)DEU8.15284500051.456907000387.6992.45S062WTS01306D18Meyer et al. (2010)38.610.0D68D68Lehmann et al. (2022)29410MTA0.31898314.9138.84.991419.0070.00010.4720.0000.1390.00089.39000.0000.0000.0000.0000.0000.0000.0000.0000.00010010.472922.5797.9060.000106.1881082.00.0
Mohnem95MohneRhenish Massif (NRW)DEU8.41871700051.485462000345.5050.84S062WTS01107D23Meyer et al. (2010)62.710.0ananLehmann et al. (2022)368710MTA5.893344517.2583.07.341929.49253.6680.0000.0000.0000.00046.33200.0000.0000.0000.0000.0000.0000.0000.0000.00010053.668625.7118.1590.00013.360915.00.0
Mohnem96MohneRhenish Massif (NRW)DEU8.38754000051.477896000435.7398.77S062WTS00606D19Meyer et al. (2010)22.210.0D64D64Lehmann et al. (2022)247010MTA2.675264816.1422.04.261683.5686.73420.6520.00012.1780.00060.43600.0000.0000.0000.0000.0000.0000.0000.0000.00010027.386923.1117.6570.000105.9041095.90.0
Mohnem97MohneRhenish Massif (NRW)DEU8.34345700051.468904000389.5088.21S062WTS00406D16Meyer et al. (2010)42.010.0D72D72Lehmann et al. (2022)461810MTA5.005463714.3967.00.271514.20610.6676.6930.00031.0690.00051.57200.0000.0000.0000.0000.0000.0000.0000.0000.00010017.360922.5797.7060.00075.2161091.70.0
Mohnem98MohneRhenish Massif (NRW)DEU8.43524300051.457261000452.4296.90S062WTS00707D16Meyer et al. (2010)37.310.0D67D67Lehmann et al. (2022)91610MTA0.992111716.0201.05.771724.8284.59724.2050.0006.6900.00064.50800.0000.0000.0000.0000.0000.0000.0000.0000.00010028.802923.4667.6160.00063.4621096.00.0
Mohnem99MohneRhenish Massif (NRW)DEU8.34830600051.431221000480.91106.47S062WTS00907D18Meyer et al. (2010)39.810.0D69D69Lehmann et al. (2022)111110MTA1.204116111.1254.02.141372.90610.0860.0000.0000.0000.00089.91400.0000.0000.0000.0000.0000.0000.0000.0000.00010010.086922.5797.6450.00018.4361094.80.0
Mohnem100MohneRhenish Massif (NRW)DEU8.44678200051.483578000399.3991.30S062WTS00807D17Meyer et al. (2010)41.110.0D71D71Lehmann et al. (2022)96510MTA1.044119216.8184.811.001391.6600.0001.7420.0000.0000.00098.25800.0000.0000.0000.0000.0000.0000.0000.0000.0001001.742924.7157.7840.00017.1531084.80.0
Mohnem101MohneRhenish Massif (NRW)DEU8.35612800051.487829000323.9146.46S062WTS01207D24Meyer et al. (2010)40.610.0amamLehmann et al. (2022)431010MTA7.472430912.9962.04.661953.64260.3490.0000.00016.3120.00023.33900.0000.0000.0000.0000.0000.0000.0000.0000.00010060.349576.8338.1670.00016.448915.00.0
Dreisam_Riv m102Dreisam Riv.FeldbergDEU8.00450000047.943400000953.92244.28S163WTS015MR21Glotzbach et al. (2014)86.810.0D59D59Lehmann et al. (2022)75010MTA0.7777868.5144.01.501693.9460.0000.0000.00099.8710.0000.00000.0000.0000.0000.0000.0000.0000.0000.1290.0001000.000964.4055.8530.00065.4111605.30.0
Dreisam_Rivm103Dreisam Riv.FeldbergDEU7.93992122747.9257713801032.65331.92S163WTS013MR18Glotzbach et al. (2014)76.810.0D57D57Lehmann et al. (2022)47410MTA0.6105108.2104.50.731359.1570.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.3436.8790.00052.6061556.10.0
Dreisam_Rivm104Dreisam Riv.FeldbergDEU8.09920469647.9291852801036.10146.78S163WTS014MR20Glotzbach et al. (2014)42.010.0D49D49Lehmann et al. (2022)56710MTA0.5876497.7109.33.892284.6070.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000964.9505.8570.0007.4781599.00.0
Dreisam_Rivm105Dreisam Riv.FeldbergDEU7.93747201047.924114460943.31338.90S163WTS012MR16Glotzbach et al. (2014)74.410.0D56D56Lehmann et al. (2022)32810MTA0.4213719.261.32.281192.0300.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1447.3160.0002.9951480.00.0
Dreisam_Rivm106Dreisam Riv.FeldbergDEU7.93164276847.908364620971.38368.53S163WTS011MR15Glotzbach et al. (2014)90.410.0D60D60Lehmann et al. (2022)20910MTA0.2693048.543.03.671315.8520.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1447.3870.0001.4201480.00.0
Dreisam_Rivm107Dreisam Riv.FeldbergDEU7.98911477847.9183739501033.46272.41S163WTS006MR6Glotzbach et al. (2014)54.910.0D51D51Lehmann et al. (2022)24710MTA0.3183027.377.52.401216.7320.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1446.2830.0002.5041567.20.0
Dreisam_Rivm108Dreisam Riv.FeldbergDEU7.99669542947.9124374501095.68288.36S163WTS005MR5Glotzbach et al. (2014)49.110.0D50D50Lehmann et al. (2022)32010MTA0.4123757.457.81.631218.5820.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1446.1670.0002.6591599.00.0
Dreisam_Rivm109Dreisam Riv.FeldbergDEU8.01401427747.9041568601144.93303.52S163WTS001MR1Glotzbach et al. (2014)57.010.0D52D52Lehmann et al. (2022)32810MTA0.3403647.878.51.481292.8180.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000964.9505.8370.0004.3371599.00.0
Dreisam_Rivm110Dreisam Riv.FeldbergDEU8.00499974947.9075002501133.31337.65S163WTS003MR3Glotzbach et al. (2014)86.110.0D58D58Lehmann et al. (2022)9210MTA0.1081737.728.41.251326.6740.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000852.3785.9960.0001.7381599.00.0
Dreisam_Rivm111Dreisam Riv.FeldbergDEU7.98409135847.8832646201242.14264.96S163WTS008MR9Glotzbach et al. (2014)57.310.0D53D53Lehmann et al. (2022)19510MTA0.2512277.233.23.571398.4570.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1446.0280.0001.2651702.80.0
Dreisam_Rivm112Dreisam Riv.FeldbergDEU7.92330000047.8982000001087.67203.12S163WTS010MR13Glotzbach et al. (2014)61.110.0D54D54Lehmann et al. (2022)30110MTA0.3873397.589.00.811420.9820.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1447.2460.00011.8761573.30.0
Dreisam_Rivm113Dreisam Riv.FeldbergDEU8.01327144647.9034289901178.44401.54S163WTS002MR2Glotzbach et al. (2014)103.310.0D61D61Lehmann et al. (2022)35610MTA0.3723957.269.70.471206.9990.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000956.4725.9360.0006.9881672.90.0
Dreisam_Rivm114Dreisam Riv.FeldbergDEU7.97082867947.8867049501186.96319.60S163WTS009MR10Glotzbach et al. (2014)104.510.0D63D63Lehmann et al. (2022)33410MTA0.4293638.246.51.261114.1330.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000777.1446.3500.0002.6071660.50.0
Dreisam_Rivm115Dreisam Riv.FeldbergDEU7.98343537947.8824501601229.96358.79S163WTS007MR8Glotzbach et al. (2014)72.110.0D55D55Lehmann et al. (2022)28110MTA0.3603187.141.20.701184.2520.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000779.6196.1110.0004.2171735.60.0
Neckar m116NeckarRhine catchment (BW)DEU8.79487714749.396545050297.89114.28S009WTS019neck-5Schaller et al. (2001)75.410.04301535Hartmann et al. (2014)4052111539MTA13.1351829.11726.00057.0000.0000.0111.00013.00000.0000.0070.1760.0000.2290.0000.0040.1710.0009883.000308.4908.7600.00020874.174776.60.2
Neckarm117NeckarRhine catchment (BW)DEU9.14492957249.310060130665.6849.62S009WTS023neck-7-1Schaller et al. (2001)92.124.903. Jan301538Hartmann et al. (2014)4383241040MTA14.0371832.13527.00060.0000.0000.0001.0009.00000.0000.0000.1820.0000.0930.0000.0000.1360.0009787.000312.2608.7100.00018774.836780.20.3
Neckarm118NeckarRhine catchment (BW)DEU9.15803671549.003964190691.0050.21S009WTS025neck-8Schaller et al. (2001)104.910.05301542Hartmann et al. (2014)417796586MTA12.9661808.22428.00055.0000.0000.0001.00013.00000.0000.0000.2910.0000.1480.0000.0000.1100.0009883.000322.1308.5500.0008446.744821.30.0
Neckarm119NeckarRhine catchment (BW)DEU9.41930934248.703721380561.6597.87S009WTS018neck-4Schaller et al. (2001)81.026.102. Jan301551Hartmann et al. (2014)4556254523MTA11.8361819.75236.00056.0000.0000.0001.0004.00000.0000.0000.5750.0000.0000.0000.0000.0000.0009892.000384.9608.2600.0004906.012860.50.0
Neckarm120NeckarRhine catchment (BW)DEU8.64827451948.396322670932.5043.76S009WTS016neck-2Schaller et al. (2001)81.710.06301557Hartmann et al. (2014)462697500MTA9.4111821.34050.00038.0000.0000.0000.00011.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009988.000491.5908.1100.0001134.347962.40.0
Neckarm121NeckarRhine catchment (BW)DEU8.61711341048.179196200747.5030.60S009WTS015neck-1Schaller et al. (2001)44.310.07301554Hartmann et al. (2014)4411216736MTA7.9681842.48246.00034.0000.0000.0000.00018.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009880.000553.5807.7600.000628.9291012.00.0
Neckarm122NeckarRhine catchment (BW)DEU8.61716761348.853738240707.5071.19S009WTS026neck-10Schaller et al. (2001)41.310.01301352Hartmann et al. (2014)48472132MTA1.4921510.5623.0000.0000.0000.0000.00092.00000.0000.0000.0000.0003.0000.0000.0000.0000.000983.000324.4807.8700.000456.468974.70.0
Napo m123NapoNapo Riv., Upper Amazon BasinECU-76.987743000-0.4634210001533.02227.00S074WTS010Na1bWittmann et al. (2011)392.410.071201845Hartmann et al. (2014)55859108CHCO3_CO31.8581446.9510.00017.0000.00015.00014.00034.00002.0000.0000.0008.0008.0000.0000.0190.0000.0009817.000300.45019.1500.44510398.5313132.41.1
Rhone_Riv m124Rhone Riv.Gulf of LionFRA4.74913361443.931612020743.42193.33S137WTS001sample_1Molliex et al. (2016)113.210.0N7310924Hartmann et al. (2014)26365351MTA4.6511672.85535.00017.0000.0009.00020.0009.00000.0000.7440.8490.0004.0000.0330.0000.4300.6309752.000566.7608.4900.989115884.8511036.847.8
Durance_Riv m125Durance Riv.Gulf of LionFRA5.56240456043.6617026201285.51310.38S137WTS004sample_5Molliex et al. (2016)357.210.049311336Hartmann et al. (2014)308729264MTA6.7471547.05939.00041.0000.0004.0009.0004.00000.0000.0000.0300.0000.5470.0200.0000.0000.0009880.000457.5807.4300.02016747.354997.256.3
Isere_Riv m126Isere Riv.Gulf of LionFRA4.93915897745.0182907401462.67393.03S137WTS003sample_4Molliex et al. (2016)958.410.015311150Hartmann et al. (2014)252512200MTA4.2671560.78235.00016.0000.00022.0008.00012.00000.0000.6620.0000.0004.0000.0120.0000.0000.0009851.000591.7905.3400.20916641.9611254.331.6
Ceze_Riv m127Ceze Riv.Gulf of LionFRA4.68082767844.139223300507.19200.07S137WTS009sample_15Molliex et al. (2016)88.210.051310902Hartmann et al. (2014)3914171832MTA7.5831514.21244.00025.0000.00017.0001.0005.00000.0000.0000.0000.0005.0000.0000.0000.0000.0009769.000516.18012.0500.0004753.402767.43.5
Herault_Riv m128Herault Riv.Gulf of LionFRA3.44415923943.483309330419.65174.74S137WTS011sample_17Molliex et al. (2016)73.410.0N6311705Hartmann et al. (2014)39119266MTA6.5281504.95753.00014.0000.0004.0004.00015.00000.0000.0002.0000.0005.0000.0000.0000.0000.0009767.000599.13011.9900.0003018.320750.32.5
Gard_Riv m129Gard Riv.Gulf of LionFRA4.56238784743.934176070308.85162.60S137WTS010sample_16Molliex et al. (2016)70.410.017310975Hartmann et al. (2014)341112526MTA5.2781481.27231.00026.0000.00027.0007.0000.81400.0000.0000.0000.0005.0000.0000.0000.0000.0009757.000646.23012.3300.0002667.307751.70.0
Eyrieux_Riv m130Eyrieux Riv.Gulf of LionFRA4.79415413644.824962830757.04258.54S137WTS007sample_13Molliex et al. (2016)87.410.046310788Hartmann et al. (2014)5669205MTA0.9171484.9701.0000.1660.00025.0000.9120.00000.0000.00010.0000.00061.0000.0000.0000.0000.000981.166616.7709.0200.0001206.734852.831.9
Tech_Riv m131Tech Riv.Gulf of LionFRA3.01503496042.609187600751.83281.35S137WTS014sample_21Molliex et al. (2016)129.210.0N5312027Hartmann et al. (2014)15534499MTA9.5531280.9433.00022.0000.00035.00015.0000.92600.0000.3180.0000.00019.0000.9061.0000.0000.0009725.000162.51011.3200.000983.239862.60.0
Guiers_Riv m132Guiers Riv.Gulf of LionFRA5.63328725945.590852020797.27277.74S137WTS006sample_9Molliex et al. (2016)257.710.011310564Hartmann et al. (2014)39529142MTA6.5021643.56626.00060.0000.0000.0003.00010.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009986.000607.8708.5300.000869.4991052.10.0
Ardeche_Riv m133Ardeche Riv.Gulf of LionFRA4.60003762944.286801150215.28105.18S137WTS008sample_14Molliex et al. (2016)45.810.050310839Hartmann et al. (2014)171515508MTA2.5821444.35829.00014.0000.00036.0001.0001.00000.0000.0003.0000.00013.0000.0000.0000.0000.0009743.000664.28010.2900.000163.850802.20.0
Romanche m134RomancheWestern French AlpsFRA5.84654100045.0545170001801.21525.44S057WTS001Rd01Delunel et al. (2010)378.110.08311126Hartmann et al. (2014)17207368MTA2.9231372.63634.0000.3330.00042.0002.0003.00000.0000.3120.0000.00016.0000.0000.0000.0000.0009834.333588.4302.7900.4271516.7811418.734.3
Veneon m135VeneonWestern French AlpsFRA6.06210100045.0137140002404.03700.23S057WTS002Rd02Delunel et al. (2010)689.110.0N12311122Hartmann et al. (2014)4381195MTA0.9311149.9871.0000.0000.00050.0000.0000.00000.0000.0000.0000.00047.0000.0000.0000.0000.000981.000470.610-0.1602.000428.0881641.50.0
Bonne m136BonneWestern French AlpsFRA5.89746800044.8907810001611.34590.44S057WTS009Rd09Delunel et al. (2010)232.910.0N13311260Hartmann et al. (2014)1858459MTA4.7281659.41738.0000.0000.00039.0000.0000.28900.0007.0000.0000.00014.0000.0000.0000.0000.0009838.000392.9003.6100.000347.8141313.80.0
Severaisse m137SeveraisseWestern French AlpsFRA6.06357700044.7838740002043.50656.14S057WTS012Mb146Delunel et al. (2010)554.310.010311109Hartmann et al. (2014)1080285MTA2.3031511.09310.0000.0000.00072.0000.0000.00000.0000.0000.0000.00017.0000.0000.0000.0000.0009910.000469.0002.4200.000277.5601393.70.0
Saint_Pierre m138Saint PierreWestern French AlpsFRA6.44597300044.8912810002775.48693.67S057WTS005Rd05Delunel et al. (2010)949.910.0N10311166Hartmann et al. (2014)24010MTA0.5121052.3710.8090.0000.00069.0000.0000.00000.0000.0000.0000.00029.0000.0000.0000.0000.000990.809469.000-1.6205.00067.6431770.10.0
Rhone_Rivm139Rhone Riv., lowerMassif CentralFRA4.78087113345.064178710673.10214.38S139WTS025VO-25Olivetti et al. (2016)45.510.014310768Hartmann et al. (2014)4147140MTA1.1311543.1310.0000.0000.00076.0000.0540.00000.0000.0000.0000.00023.0000.0000.0000.0000.000990.000366.3009.4700.000876.882862.30.0
Rhone_Rivm140Rhone Riv., lowerMassif CentralFRA4.52998634944.992794050882.63251.56S139WTS019VO-19Olivetti et al. (2016)52.910.047310765Hartmann et al. (2014)187242CHCO3_CO30.4741574.4550.0000.0000.00088.0000.0000.00000.0000.0000.0000.00011.0000.0000.0000.0000.000990.000394.5908.2700.000274.156875.60.0
Rhone_Rivm141Rhone Riv., lowerMassif CentralFRA4.50166787745.043349840944.06250.96S139WTS021VO-21Olivetti et al. (2016)51.410.048310764Hartmann et al. (2014)178538MTA0.5051564.4570.0000.0000.00096.0000.0000.00000.0000.0000.0000.0003.0000.0000.0000.0000.000990.000352.2907.9700.000169.943887.80.0
Rhone_Rivm142Rhone Riv., lowerMassif CentralFRA4.63912160345.234950220826.39281.31S139WTS012VO-12Olivetti et al. (2016)37.510.013312344Hartmann et al. (2014)3202141MTA0.9711435.4670.0000.0000.00081.0000.0000.00000.0000.0000.0000.00018.0000.0000.0000.0000.000990.000329.4508.3100.000163.893892.80.0
Rhone_Rivm143Rhone Riv., lowerMassif CentralFRA4.74014289345.385799620475.32144.86S139WTS002VO-02Olivetti et al. (2016)29.210.0N14312795Hartmann et al. (2014)870340MTA2.7531555.4160.0000.0000.0005.0000.4246.00000.0000.0000.0000.00087.0000.0000.0000.0000.000980.000316.00010.5600.00036.961827.80.0
Rhone_Rivm144Rhone Riv., lowerMassif CentralFRA4.50079323745.1750064501001.65329.40S139WTS011VO-11Olivetti et al. (2016)61.410.0N15310751Hartmann et al. (2014)16010MTA0.4401395.6490.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000364.0007.4200.00025.378916.40.0
Rhone_Rivm145Rhone Riv., lowerMassif CentralFRA4.77583276045.254161200384.4264.96S139WTS013VO-13Olivetti et al. (2016)49.210.0N16312975Hartmann et al. (2014)439401210MTA0.0131783.1780.0000.0000.00058.6190.0000.00000.0000.0000.0000.00041.3810.0000.0000.0000.0001000.000316.95411.5430.00021.677912.80.0
Guil m146GuilWestern AlpsFRA/ITA6.76226700044.7188390002250.24446.40S096WTS013RD48Glotzbach et al. (2013)506.110.0N9311190Hartmann et al. (2014)31002283MTA5.8471381.7373.0006.0000.00090.0000.0000.00000.0000.0000.0000.0000.0000.4480.0000.0000.000999.000530.2301.8000.000592.7571414.40.0
Guilm147GuilWestern AlpsFRA/ITA6.69671400044.6810020002216.25457.90S096WTS012RD47Glotzbach et al. (2013)594.110.024311198Hartmann et al. (2014)277111160MTA5.3331400.92623.0007.0000.00067.0000.0000.82000.0000.0000.0000.0000.0000.3370.0000.0000.0009830.000519.5402.1800.000669.9121382.50.0
Guilm148GuilWestern AlpsFRA/ITA6.86006800044.7782270002305.86472.30S096WTS014RD49Glotzbach et al. (2013)407.810.016311184Hartmann et al. (2014)27704456MTA4.9231358.2030.0000.0000.00099.0000.0000.00000.0000.0000.0000.0000.0000.7240.0000.0000.0001000.000562.6101.7900.000280.4101417.30.0
Ganges m149GangesUpper GangesIND78.31126800030.1201830003146.72528.42S016WTS006AK36Vance et al. (2003)1363.9220.027. Jan520413Hartmann et al. (2014)85910CHCO3_CO30.6961056.82813.0009.0000.00047.0000.00019.00000.0000.0001.0000.0007.0000.0000.0000.0000.1309622.0001234.0207.7605.00025278.0591259.628.9
Alaknandam150AlaknandaUpper GangesIND78.77280300030.2294690003457.43567.03S016WTS003AK126Vance et al. (2003)2536.410.0C22S3Kotnala et al. (2016)1205439MTA1.0401167.0608.5416.8210.00066.9270.00010.74600.0000.0002.6580.0004.3070.0000.0000.0000.00010015.3621158.2884.7375.36112323.8861418.70.0
Po_Riv m151Po Riv., ViadanaPo floodplainITA10.52412379044.911243080836.71246.19S143WTS035P8Wittmann et al. (2016)329.610.0106106Lehmann et al. (2022)288210MTA4.493280826.0397.012.701765.65023.4330.81811.64214.31140.7582.91800.0000.0000.0910.0001.1603.8620.1150.8390.05410035.893641.3509.0690.31979173.422992.828.6
Po_Rivm152Po Riv., CastelnuovoPo floodplainITA9.89290452045.105380830833.62240.65S143WTS034P7Wittmann et al. (2016)245.110.0103103Lehmann et al. (2022)257910MTA4.034245127.3368.010.201791.00620.7860.55812.71915.20741.4212.99800.0000.0000.0790.0000.8324.5220.1280.7190.03010034.063639.1559.2340.28461075.277987.733.0
Po_Rivm153Po Riv., ZerboPo floodplainITA9.37211909845.102924170887.49255.08S143WTS032P6-1Wittmann et al. (2016)240.5211.1101-1101-1Lehmann et al. (2022)256510MTA3.835251225.6386.012.901786.83618.4410.61213.99317.33538.0933.22000.0001.4360.0880.0000.9434.8360.1420.7850.07510033.046668.8408.9630.19554731.367980.036.5
Taro_Riv m154Taro Riv.ApenninesITA10.09203287044.695433250704.05226.58S143WTS022T22Wittmann et al. (2016)608.110.0104104Lehmann et al. (2022)290810MTA6.084284823.6323.01.591459.45192.0993.5580.0000.0001.5320.95000.0000.0000.0000.0000.0001.8600.0000.0000.00010095.657478.01710.0020.0001752.7231377.10.0
Vispa_Riv m155Vispa Riv.ApenninesITA10.75789950044.532928120801.57227.78S143WTS024T24Wittmann et al. (2016)648.610.0107107Lehmann et al. (2022)226610MTA1.984220727.52090.040.401611.24883.2960.9470.0000.00012.4483.00900.0000.0000.0000.0000.0000.2990.0000.0000.00010084.2431141.9599.7330.0001405.1611085.90.0
Trebbia_Riv m156Trebbia Riv.ApenninesITA9.58457405144.905481470827.67289.72S143WTS021T21Wittmann et al. (2016)443.610.0102102Lehmann et al. (2022)273510MTA8.137267525.6364.01.681498.43791.1982.5720.0000.0000.8840.00000.0000.0000.0000.0000.0005.3460.0000.0000.00010093.770336.1309.7870.0001288.9091460.72.0
Toce_Riv m157Toce Riv., MaseraWestern Central AlpsITA8.30039666246.1238270701845.82525.00S143WTS007T7Wittmann et al. (2016)1428.010.0bbbbLehmann et al. (2022)98910MTA0.682102015.2195.43.681356.1580.4651.21941.71838.49910.7651.24200.0000.0001.1560.0000.0003.9930.0000.0510.89310043.4021450.1162.9760.9051246.0871037.418.1
Secchia_Riv m158Secchia Riv.Western Central AlpsITA7.87952979246.2561740502652.96488.98S143WTS025O1cWittmann et al. (2016)1802.710.0avavLehmann et al. (2022)70210MTA0.78463711.9121.0108.101057.8023.4523.4420.53148.26413.1133.20600.0000.0005.7940.0000.0001.4120.0000.29420.4911007.425895.055-1.1734.9671098.054726.63.3
Enza_Riv m159Enza Riv.ApenninesITA10.40869975044.621257730731.53224.67S143WTS023T23Wittmann et al. (2016)500.110.0105105Lehmann et al. (2022)319610MTA2.372311723.3365.01.801538.65876.34017.8440.0000.0005.8160.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010094.1841347.72510.0090.000672.4571261.10.0
Rio_Lagorai m160Rio LagoraiCentral Eastern AlpsITA11.50539507046.2832486301928.18493.05S069WTS017LagoraiNorton et al. (2011)212.210.0eeLehmann et al. (2022)28310MTA0.30430114.435.287.801038.7910.0000.0000.0000.0001.8370.00000.00053.68544.4770.0000.0000.0000.0000.0000.0001000.000928.7894.7010.00024.386733.00.0
Avisio m161AvisioCentral Eastern AlpsITA11.45045713046.2807555301874.29447.12S069WTS004AvisioNorton et al. (2011)343.810.09090Lehmann et al. (2022)228910MTA2.529205914.2243.0448.001242.81440.5290.0001.3290.0007.5392.77200.00026.61018.6790.0000.4810.0002.0620.0000.00010041.858904.9793.7110.000907.196848.58.1
Whole_Reno_basin m162Whole Reno basinEmilia ApenninesITA11.25766049044.392693800650.57256.22S165WTS03633 Whole Reno basinCyr et al. (2014)354.510.0113113Lehmann et al. (2022)298710MTA5.210289028.8391.06.301475.59088.5752.2080.0000.0002.0307.18700.0000.0000.0000.0000.0000.0000.0000.0000.00010090.783573.30611.1850.0001379.9901202.65.9
Reno_Riv m163Reno Riv., FontanaEmilia ApenninesITA11.24265723044.384295300671.15274.35S165WTS03835 Reno at FontanaCyr et al. (2014)574.410.0111111Lehmann et al. (2022)275910MTA4.492266129.9340.05.091465.89684.6373.2690.0000.0001.45310.64100.0000.0000.0000.0000.0000.0000.0000.0000.00010087.906614.30811.0560.000931.9491236.17.8
Setta_Riv m164Setta Riv., Piccolo ParadisoEmilia ApenninesITA11.24760442044.381832660614.52219.17S165WTS03734 Setta at Piccolo ParadisoCyr et al. (2014)849.210.0112112Lehmann et al. (2022)322810MTA6.614317131.6472.04.371498.39197.4190.0000.0000.0002.5810.00000.0000.0000.0000.0000.0000.0000.0000.0000.00010097.419487.99711.4300.000440.5971138.01.8
Sambro_Riv m165Sambro Riv., RioveggioEmilia ApenninesITA11.19601421044.273500250693.43219.53S165WTS04138 Sambro at RioveggioCyr et al. (2014)556.510.0114114Lehmann et al. (2022)290410MTA5.951282028.2380.02.971505.036100.0000.0000.0000.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.000100100.000487.99711.2280.000297.4951238.42.7
Salankhu_Riv m166Salankhu Riv.HimalayaNPL85.17560000027.9827600001896.82492.63S103WTS019TR-170311-03Godard et al. (2014)2824.910.0C46Trisuli 1France-Lanord et al. (2003)758140CHCO30.787694.2910.0000.000100.0000.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.000100100.000963.69818.5440.00097.9231313.60.0
Bhudi_Gandaki m167Bhudi GandakiNepalese HimalayaNPL84.77914000027.8174300003733.03590.04S076WTS002Arr_3AAndermann (2011)2998.510.0C50L0300Galy and France-Lanord (1999)118710CHCO31.195857.3749.12813.02761.9771.4400.0004.75000.0000.0000.0000.0009.1090.0000.0000.0000.56910084.132993.2346.0475.6585705.499754.60.0
Trishuli_Riv m168Trishuli Riv.Nepalese HimalayaNPL84.97039200027.8072260003658.22504.63S076WTS001Arr_2Andermann (2011)1585.710.0C49L0316Galy and France-Lanord (1999)88910CHCO31.064996.2736.11413.36840.27120.6053.1478.93200.0000.0000.0000.0001.5460.0000.0000.0006.01810059.753835.3487.0791.9406882.742853.50.0
Marsyandi m169MarsyandiMarsyandi BasinNPL84.52407700027.9132050003648.15547.44S086WTS024NIB-975-36Godard et al. (2012)2764.22425.5C51-1L0314Galy and France-Lanord (1999)117310CHCO30.745980.5680.0171.69657.07810.4860.0390.00000.0000.0000.0000.00030.1980.0000.0000.0000.22110058.7911575.0036.2532.8214722.052908.364.7
Marsyandim170MarsyandiMarsyandi BasinNPL84.35147500028.5303180004951.70569.62S086WTS021NIB-975-19Godard et al. (2012)5723.110.0C43SPA-97-24dEvans et al. (2004)196910MHCO31.145990.6860.0090.00049.7540.7890.0920.00000.0000.0000.0000.00048.8310.0000.0000.0000.52510049.7631719.293-1.2926.4921990.793525.60.0
Marsyandim171MarsyandiMarsyandi BasinNPL84.26394400028.5527500005029.05563.30S086WTS011NEP139Godard et al. (2012)2349.210.0C44SPA-97-10dEvans et al. (2004)201310MHCO31.167997.3370.0100.00052.9900.0000.0980.00000.0000.0000.0000.00046.3440.0000.0000.0000.55910052.9991724.310-1.5857.1461869.373518.70.0
Nar m172NarMarsyandi BasinNPL84.26040900028.5582950005184.99552.26S086WTS010NEP138Godard et al. (2012)2020.710.0C45SPA-97-20dEvans et al. (2004)234610MHCO31.0451045.9360.0180.00038.6250.0000.0000.00000.0000.0000.0000.00060.3300.0000.0000.0001.02810038.6422245.902-2.62711.1731017.936498.80.0
Marsyandim173MarsyandiMarsyandi BasinNPL84.39764500028.3091870004576.11600.39S086WTS017NIB-975-04Godard et al. (2012)4285.510.0C40SPA-97-4dEvans et al. (2004)151110MHCO30.8761018.6380.0250.00043.51512.6890.0580.00000.0000.0000.0000.00043.3830.0000.0000.0000.33110043.5401724.3540.6275.1673157.741583.50.0
Khudi m174KhudiMarsyandi BasinNPL84.35547300028.2818300002601.42537.38S086WTS015NIB-975-02aGodard et al. (2012)2581.710.0C39SPA-97-2dEvans et al. (2004)67210MHCO30.409879.5900.0000.00051.46511.3920.0000.00000.0000.0000.0000.00037.1440.0000.0000.0000.00010051.4651642.1507.6920.000155.398849.00.0
Trishuli_Rivm175Trishuli Riv.Nepalese HimalayaNPL85.33675500028.1603990004626.34526.60S076WTS006NP_A10sAndermann (2011)2350.410.036520069Hartmann et al. (2014)124510CHCO3_CO32.0031193.4799.00015.00020.01225.9884.00013.00000.0000.0000.0000.0001.0000.0000.0000.0009.0009744.012621.6800.34034.0004626.608432.30.0
Bhudi_Gandakim176Bhudi GandakiNepalese HimalayaNPL84.81923500028.0492190004266.40619.28S076WTS015NP_A39sAndermann (2011)2223.110.034520031Hartmann et al. (2014)158610CHCO3_CO32.178906.63212.00016.00051.0230.9770.0006.00000.0000.0000.0000.00011.0000.0000.0000.0000.7779879.023728.2602.43034.0004423.230563.60.0
Trishuli_Rivm177Trishuli Riv.Nepalese HimalayaNPL85.34600000028.1860590004656.55501.67S076WTS005CAJ_7Andermann (2011)1488.110.035520006Hartmann et al. (2014)10862110CHCO3_CO31.7071199.70711.00019.0007.71833.2820.23716.00000.0000.0000.0000.0000.6220.0000.0000.00010.0009837.718636.2000.12030.0003631.422403.80.0
Marsyandim178MarsyandiMarsyandi BasinNPL84.37214100028.4599540004851.01595.08S086WTS019NIB-975-09Godard et al. (2012)2857.210.031520047Hartmann et al. (2014)163410CHCO3_CO30.8611032.9000.0700.00046.9153.0850.0520.00000.0000.0000.0000.00048.0000.0000.0000.0000.7099946.9851897.400-0.75048.0002627.701435.10.0
Marsyandim179MarsyandiMarsyandi BasinNPL84.35760500028.5213050004890.55585.27S086WTS022NIB-975-20Godard et al. (2012)5487.010.053520050Hartmann et al. (2014)196910CHCO3_CO31.0541016.0890.0210.00050.0000.0000.0700.00000.0000.0000.0000.00048.0000.0000.0000.0000.9519950.0211867.870-1.70048.0002431.090426.30.0
Marsyandim180MarsyandiMarsyandi BasinNPL84.25552900028.5521850004836.06576.45S086WTS012NEP140Godard et al. (2012)2881.510.030520708Hartmann et al. (2014)172529300CHCO3_CO30.754921.3390.0430.00070.3520.0000.0000.00000.0000.0000.0000.00026.6480.0000.0000.0001.0009870.3952288.000-2.91047.000848.897409.30.0
Marsyandim181MarsyandiMarsyandi BasinNPL84.14451800028.6196870004937.66533.39S086WTS013NEP151Godard et al. (2012)2721.710.029520710Hartmann et al. (2014)304010CHCO3_CO31.329929.1750.0000.00072.19926.8010.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009972.1992288.000-1.36059.000641.945441.80.0
Marsyandim182MarsyandiMarsyandi BasinNPL84.36587600028.2616100004443.27596.34S086WTS014NEP171Godard et al. (2012)4822.010.052520019Hartmann et al. (2014)149310CHCO3_CO30.8271008.0920.0550.00044.62411.3760.0410.00000.0000.0000.0000.00042.0000.0000.0000.0000.5579944.6801806.2901.11041.0003357.019579.20.0
Marsyandim183MarsyandiMarsyandi BasinNPL84.36872400028.2912410004562.65600.31S086WTS016NIB-975-03Godard et al. (2012)3680.810.033520024Hartmann et al. (2014)169110CHCO3_CO30.9321016.3880.0580.00043.80712.1930.0430.00000.0000.0000.0000.00043.0000.0000.0000.0000.58610043.8661814.8400.56043.0003174.136532.10.0
Marsyandim184MarsyandiMarsyandi BasinNPL84.40289600028.3876700004746.26600.38S086WTS009NEP124Godard et al. (2012)4878.610.032520040Hartmann et al. (2014)172810CHCO3_CO30.9271027.9480.0660.00043.5787.4220.0490.00000.0000.0000.0000.00047.0000.0000.0000.0000.6609943.6441863.400-0.49047.0002829.934452.90.0
Seti_Riv m185Seti Riv.Nepalese HimalayaNPL83.95997132028.3583028303844.99726.99S183WTS005STW_CW_013Kim et al. (2017)611.2240.228. Jan520036Hartmann et al. (2014)189410CHCO3_CO31.2271119.8610.0000.00086.66512.3350.0000.00000.0000.0000.0000.0000.1990.0000.0000.0000.0009986.6651543.2602.58040.000301.574729.30.0
Hokitika_Riv m186Hokitika Riv.West Coast, Soutern IslandNZL170.995831600-42.9883240301153.16561.79S147WTS006Hokitika-sedLarsen et al. (2014)9828.710.0C7NZ14-18Horan et al. (2020)50610MTA0.2681508.3280.00026.5240.00072.3251.1130.00000.0000.0000.0000.0000.0000.0000.0000.0370.00010026.5241886.6026.4912.361469.5723220.80.0
Karangaru_Riv m187Karangaru Riv.West Coast, Soutern IslandNZL169.808262700-43.5766439601162.48601.03S147WTS001Karangarua-sedLarsen et al. (2014)3453.810.0C5NZ14-71Horan et al. (2020)22410MTA0.0661953.6820.0000.4070.00076.54913.0390.00000.0000.0000.0000.0000.0000.0000.00010.0050.0001000.4073400.0767.0314.345498.5303664.80.0
Whataroa_Riv m188Whataroa Riv.West Coast, Soutern IslandNZL170.413280200-43.2933228001216.65568.69S147WTS004Whataroa-sedLarsen et al. (2014)6280.010.0C14WhataroaLyons et al. (2005)475237CHCO30.1931874.7120.00021.1430.00072.4751.3800.00000.0000.0000.0000.0000.0000.0000.0005.0020.00010021.1432458.5424.6117.722617.9233369.20.0
Felix_Riv m189Felix Riv.CentralPAN-81.8657844908.274239127673.92306.42S149WTS014FELIXGonzalez et al. (2016)408.910.0N4203007Hartmann et al. (2014)94972207MTA0.412466.29619.0000.0000.0000.0000.0000.00000.00080.0000.0000.0000.0000.0000.0000.0000.0009919.0002302.73022.7500.000267.0743084.70.0
Santa_Maria_Riv m190Santa Maria Riv.CentralPAN-80.6853364308.145048417317.38138.31S149WTS021MARIAGonzalez et al. (2016)46.210.0E1354Harmon et al. (2016)42710CHCO30.467302.5270.0006.4180.0000.0003.5130.00000.0000.0280.00087.7292.3110.0000.0000.0000.0001006.418914.93225.4330.0002624.9592588.50.0
San_Pablo_Riv m191San Pablo Riv.CentralPAN-81.2516855908.198784379488.18190.68S149WTS032SANPABGonzalez et al. (2016)91.910.0E2299Harmon et al. (2016)60910CHCO30.379663.0010.0000.0000.0000.0000.0000.00000.00024.2390.00075.7610.0000.0000.0000.0000.0001000.0001605.30924.5330.000753.2632893.80.0
Tabasar_Riv m192Tabasar Riv.CentralPAN-81.5850504608.208353390776.04250.57S149WTS034TABAGonzalez et al. (2016)56.110.0E4302Harmon et al. (2016)45810CHCO30.200505.2460.0000.0000.0000.0000.0000.00000.00097.4670.0000.0002.5330.0000.0000.0000.0001000.0002286.59123.2390.000705.2872950.80.0
Chagres m193ChagresEasternPAN-79.3226389909.361671642473.57171.48S149WTS038CTOMGonzalez et al. (2016)99.710.0E19103Harmon et al. (2016)46810CHCO30.248550.8530.0000.0000.0000.0000.0000.00000.0000.00070.4080.00029.5920.0000.0000.0000.0001000.0001889.61624.9330.00023.2693066.10.0
Cobre_Riv m194Cobre Riv.CentralPAN-81.3849803508.219964508393.61159.48S149WTS011COBREGonzalez et al. (2016)51.910.0E5300Harmon et al. (2016)97810CHCO30.609671.8320.0000.0000.0000.0000.0000.00000.00069.8510.00030.1490.0000.0000.0000.0000.0001000.0001606.21624.8330.000500.4572943.70.0
Chico_Riv m195Chico Riv.CentralPAN-80.5191411008.327525033444.43183.68S149WTS004C_NATAGonzalez et al. (2016)19.510.0E6757Harmon et al. (2016)87810CHCO31.460455.7040.0000.0000.0000.0002.7220.00000.0000.0000.00097.2780.0000.0000.0000.0000.0001000.000601.43625.1790.000368.5342445.60.0
Vigui_Riv m196Vigui Riv.CentralPAN-81.5599956208.205056929619.52210.68S149WTS035VIGUIGonzalez et al. (2016)62.610.0E3301Harmon et al. (2016)51510CHCO30.253608.9550.0000.0000.0000.0000.0000.00000.000100.0000.0000.0000.0000.0000.0000.0000.0001000.0002036.69223.8720.000338.2772964.60.0
Pacora_Riv m197Pacora Riv.EasternPAN-79.2841575709.074358982313.26168.94S149WTS023PACORAGonzalez et al. (2016)241.110.0E967Harmon et al. (2016)102310CHCO30.541475.5718.5703.7960.0000.0000.0000.00000.0000.00033.3000.00054.3350.0000.0000.0000.00010012.3661889.61625.3930.000276.5402532.50.0
Diablo_Riv m198Diablo Riv.EasternPAN-78.4767125009.195874067347.06186.06S149WTS025PAN06Gonzalez et al. (2016)72.210.0E10475Harmon et al. (2016)57110CHCO30.550408.92536.3790.0000.0000.0000.0000.00000.0000.00063.6210.0000.0000.0000.0000.0000.00010036.3791038.31925.2930.00026.0922589.00.0
San_Miguel_Riv m199San Miguel Riv.EasternPAN-79.4884756709.394168806311.27185.53S149WTS033SMPGonzalez et al. (2016)193.9221.6E1633Harmon et al. (2016)98510CHCO30.522706.9360.0000.0000.0000.0000.0000.00000.0000.00097.3990.0002.6010.0000.0000.0000.0001000.0001888.58924.8380.000124.6173068.10.0
Pequini_Riv m200Pequini Riv.EasternPAN-79.5324805109.366670129292.65185.01S149WTS027PLAGonzalez et al. (2016)273.710.0E1524Harmon et al. (2016)109610CHCO30.597714.2650.0000.0000.0000.0000.0000.00000.0000.00084.0960.00015.9040.0000.0000.0000.0001000.0001835.18924.8170.000158.1963032.70.0
Rohalo_Riv m201Rohalo Riv.NorthwestPAN-82.3074023409.020008647603.92302.24S149WTS029ROBOGonzalez et al. (2016)102.310.0E8318Harmon et al. (2016)370010CHCO31.227479.9730.0002.8520.0000.0000.0020.00000.00078.0970.0000.00019.0490.0000.0000.0000.0001002.8523015.74622.4210.000147.5173250.00.0
Cuango m202CuangoEasternPAN-79.2835110309.525841600240.15203.71S149WTS037CUANGonzalez et al. (2016)206.0245.1E1838; 132Harmon et al. (2016)8362149CHCO30.442863.5210.0000.0000.0000.0000.0000.00000.0000.000100.0000.0000.0000.0000.0000.0000.0001000.0001889.61624.9160.000144.2383041.80.0
Carti_Grande_Riv m203Carti Grande Riv.EasternPAN-78.9751559509.422239850222.02164.83S149WTS024PAN02Gonzalez et al. (2016)76.510.0E17479Harmon et al. (2016)88210CHCO30.533624.0930.0000.0000.0000.0000.0000.00000.0000.00057.8380.00042.1620.0000.0000.0000.0001000.0001653.36425.8590.000111.7952557.80.0
Anton_Riv m204Anton Riv.Central-EastPAN-80.2558339508.400014796347.93111.30S149WTS001ANTGonzalez et al. (2016)117.810.0E7760Harmon et al. (2016)129410CHCO30.659533.0050.0000.0000.0000.0000.0000.00000.0000.0000.000100.0000.0000.0000.0000.0000.0001000.0001963.97326.0040.00091.3572206.60.0
Chagres_Riv m205Chagres Riv.EasternPAN-79.3235224309.360903215511.16168.88S149WTS028PLSGonzalez et al. (2016)84.210.0E202Harmon et al. (2016)46510CHCO30.246586.0340.0000.0000.0000.0000.0000.00000.0000.00040.8040.00059.1960.0000.0000.0000.0001000.0001889.61624.9120.00062.1243025.00.0
Chagresm206ChagresEasternPAN-79.5310626309.243797909379.36209.68S022WTS014CLANichols et al. (2005)120.910.0E11109Harmon et al. (2016)121310CHCO30.650454.8490.0000.0000.0000.0000.0000.00000.0000.00021.5460.00078.4540.0000.0000.0000.0001000.0001865.67424.6540.000470.3262841.10.0
Chagresm207ChagresEasternPAN-79.5064693909.266866283243.64230.58S022WTS002CChCNichols et al. (2005)140.510.0E128Harmon et al. (2016)67510CHCO30.358461.5570.0000.0000.0000.0000.0000.00000.0000.00018.4720.00081.5280.0000.0000.0000.0001000.0001887.86224.5960.000414.6852865.90.0
Chagresm208ChagresEasternPAN-79.4113941909.292551346553.51236.98S022WTS017PIEDNichols et al. (2005)120.610.0E145Harmon et al. (2016)80510CHCO30.426447.3120.0000.0000.0000.0000.0000.00000.0000.0000.0000.000100.0000.0000.0000.0000.0001000.0001889.61624.4440.00094.7112701.80.0
Chagresm209ChagresEasternPAN-79.5052690109.269348815410.37252.84S022WTS010CHAG-19Nichols et al. (2005)111.710.0E13108Harmon et al. (2016)90210CHCO30.477463.4000.0000.0000.0000.0000.0000.00000.0000.00019.7000.00080.3000.0000.0000.0000.0001000.0001889.61624.5800.000371.4312871.10.0
Luyeh_Riv m210Luyeh Riv.Central RangeTWN121.07998100022.8998191601578.57502.13S151WTS033Lu0808 a/Derrieux et al. (2014)2091.12394.2C8Luye R.Lin et al. (2013)1638240MHCO30.493714.8670.00038.1220.00035.7020.00026.17600.0000.0000.0000.0000.0000.0000.0000.0000.00010038.1223321.68616.4690.000511.3522923.90.0
Hsinwulu_Riv m211Hsinwulu Riv.Central RangeTWN121.11835190023.1308509701898.57509.04S151WTS032Hwl-6/Derrieux et al. (2014)3104.610.0C11Sinwulu R.Lin et al. (2013)1383240MHCO30.693662.4570.00048.2870.00046.8920.0004.82200.0000.0000.0000.0000.0000.0000.0000.0000.00010048.2871994.24514.3390.000324.2062814.80.0
Hsinwulu_Rivm212Hsinwulu Riv.Central RangeTWN121.12582050023.1382123301916.58524.97S151WTS028Hwl-3/Derrieux et al. (2014)5188.410.0C24T05-24; T05-53Goldsmith (2009)294721181CHCO31.116685.6640.00053.4570.00043.6420.0002.34300.0000.0000.0000.5590.0000.0000.0000.0000.00010053.4572641.30713.0630.000667.5002792.60.0
Choshui_Riv m213Choshui Riv.Hsueshan RangeTWN120.62990010023.7848318101563.60485.07S151WTS012Cho-1/Derrieux et al. (2014)1711.510.0C29T05-11; J-1Goldsmith (2009)196821201CHCO31.033901.3220.00014.2210.0002.7344.91078.13500.0000.0000.0000.0000.0000.0000.0000.0000.00010014.2211905.79716.4340.0003185.0782755.97.2
Choshui_Rivm214Choshui Riv.Hsueshan RangeTWN120.92996430023.7865021901978.22553.42S151WTS016Cho-4/Derrieux et al. (2014)926.410.0C30T05-14; R-1Goldsmith (2009)19542815CHCO31.157871.7940.00026.5020.0005.0950.00068.40300.0000.0000.0000.0000.0000.0000.0000.0000.00010026.5021687.81114.5520.0001710.1772960.20.0
Mugua_Riv m215Mugua Riv.Central RangeTWN121.49004760023.9681377601885.14564.86S151WTS025Mu-2A/Derrieux et al. (2014)3971.42817.4C34T05-37; T05-69Goldsmith (2009)2010232CHCO31.233740.5800.0007.5990.00092.4010.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001007.5991629.92112.4410.000445.3823023.10.0
Hsinwulu_Rivm216Hsinwulu Riv.Central RangeTWN121.11071380023.1389887302012.20541.60S151WTS031Hwl-0808/Derrieux et al. (2014)4144.610.0C26T05-26; T05-54Goldsmith (2009)273921699CHCO31.128720.6360.00072.1880.00026.4680.0000.00000.0000.0000.0001.3440.0000.0000.0000.0000.00010072.1882426.87312.6410.000277.4612891.70.0
Susquehanna m217SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.87855948040.962233090483.76146.33S026WTS019JS27NA28.710.054100444Hartmann et al. (2014)41066249CHCO3_CO30.8061088.3074.0001.0000.0001.0000.00092.00000.0000.0000.0000.0000.0000.0000.0000.0000.000985.000508.1807.9400.00023552.6901010.811.1
Susquehannam218SusquehannaAppalachian Mts. (MD/PA/NY)USA-77.12878309040.478493390361.65136.11S026WTS007JSQ7NA19.110.056100457Hartmann et al. (2014)137178448MTA3.4451296.73916.0008.0000.0006.0000.00069.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009924.000397.9709.5300.00011405.5441009.70.0
Dan_Riv m219Dan Riv.Appalachian PiedmontUSA-79.09037981036.643001510287.5870.44S156WTS002SAP04Reusser et al. (2015)5.510.066100620Hartmann et al. (2014)51348122MTA1.4011472.6100.0000.0000.00069.0000.00016.00000.0004.0000.1560.0006.0003.0000.0000.1010.000980.000366.19013.5500.0008356.7451161.29.1
Saluda_Riv m220Saluda Riv.Appalachian PiedmontUSA-81.18967232034.046340360216.7346.94S156WTS006SAP12Reusser et al. (2015)5.010.067100678Hartmann et al. (2014)3512345MTA2.1031247.4580.0000.0000.00062.0003.0000.00000.0000.0000.0000.00032.0001.0000.2350.0000.000980.000166.93015.9200.0007637.3451264.382.3
Chattahoochee_Riv m221Chattahoochee Riv.Appalachian PiedmontUSA-84.90294464033.477137630375.0867.53S156WTS016SAP69Reusser et al. (2015)10.010.068100908Hartmann et al. (2014)460182105CHCO3_CO30.7431800.5890.0000.0000.00079.0000.0000.00000.0000.0000.0000.00016.0000.1860.0003.0000.000980.000618.93014.8800.0007553.9061451.265.2
Susquehannam222SusquehannaAppalachian Mts. (MD/PA/NY)USA-78.26489346040.216683420453.95128.81S026WTS011JSQ12NA9.010.065100454Hartmann et al. (2014)143481650MTA3.7831093.34614.0002.0000.0003.0000.00080.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009916.000378.9009.3800.0002554.538998.80.0
Susquehannam223SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.72009712040.081699990191.6451.39S026WTS002JSQ2NA14.310.060100471Hartmann et al. (2014)158110MTA4.1091073.0774.0001.0000.0007.0000.00065.00000.0007.00013.0000.0000.0000.0000.0000.0000.000975.000384.71011.0200.0001732.4171033.20.8
Susquehannam224SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.62297322040.956708380395.98113.77S026WTS018JS19NA17.710.055100442Hartmann et al. (2014)90568315CHCO3_CO31.7891434.2480.8769.0000.0000.0000.00089.00000.0000.0000.0000.0000.0000.0000.0000.1190.000999.876505.8207.3100.00039159.374977.18.6
Susquehannam225SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.88307341040.257433140268.64104.25S026WTS004JSQ4NA35.110.058100461Hartmann et al. (2014)837259378MTA1.7391304.2745.0006.0000.0001.0000.00086.00000.0000.0000.0000.0000.0000.0000.0000.0550.0009811.000481.3408.0800.00083260.500999.68.0
Susquehannam226SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.36808250039.946487110151.8954.94S026WTS014JS42NA18.810.062103727Hartmann et al. (2014)332721088MTA6.7891122.71257.0001.0000.0006.0000.00032.00000.0000.0002.0000.0000.0000.0000.0000.0000.0009858.000490.08010.7700.0001587.9321086.20.0
Susquehannam227SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.89802273040.224508360250.5681.27S026WTS003JSQ3NA19.610.059100464Hartmann et al. (2014)235810MTA6.6511931.88036.0000.0000.00030.0000.00019.00000.0008.0005.0000.0000.0000.0000.0000.0000.0009836.000354.50010.6400.000731.0291043.90.0
Susquehannam228SusquehannaAppalachian Mts. (MD/PA/NY)USA-77.16853040040.323140590315.94138.05S026WTS005JSQ5NA11.010.057100458Hartmann et al. (2014)11392486MTA3.1441578.43212.00021.0000.00012.0000.00053.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009833.000362.31010.0700.000702.2701039.60.0
Susquehannam229SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.32829497039.905942080157.6255.97S026WTS017JS45NA20.110.063100476Hartmann et al. (2014)255810MTA6.2911229.60153.0003.0000.00042.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009856.000406.60010.9400.000499.1681092.80.0
Susquehannam230SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.27721712040.010317650134.2534.90S026WTS015JS43NA11.010.061100474Hartmann et al. (2014)414845557CHCO3_CO38.4401069.27388.0002.0000.0009.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0009990.000491.48010.9600.000184.0991082.60.0
Susquehannam231SusquehannaAppalachian Mts. (MD/PA/NY)USA-76.49340124039.775748200215.7953.95S026WTS084JSQ158NA9.110.064103689Hartmann et al. (2014)35010MTA0.9331301.7890.0000.0000.000100.0000.0000.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000374.80011.0400.0009.1271099.20.0
Salmon m232SalmonCentral Idaho Mts. (ID)USA-116.32338810045.7502150902064.44320.07S010WTS032Kir-32Kirchner et al. (2001)106.110.070102892Hartmann et al. (2014)1261113367CHCO3_CO35.1261874.5913.0000.9881.55918.44110.0003.00000.01114.0002.0005.00036.0000.0040.6080.0930.000955.547245.9501.8100.00649081.279508.10.0
Keurbooms_Riv m233Keurbooms Riv.Eastern CapeZAF23.397300000-33.976700000546.90272.43S116WTS005TSP22Bierman et al. (2014)3.220.0N22-1400613Hartmann et al. (2014)161177170MTA0.4982170.1250.0000.0000.0000.0000.000100.00000.0000.0000.0000.0000.0000.0000.0000.0000.0001000.000323.79015.4300.0001001.878864.50.0