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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2022
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| Online Access: | https://doi.org/10.1594/PANGAEA.940522 |
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| _version_ | 1867169148747907072 |
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| author | Lehmann, Nele Mears, Chantal Thomas, Helmuth |
| author_facet | Lehmann, Nele Mears, Chantal Thomas, Helmuth |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_940522 |
| institution | PANGAEA |
| language | en |
| publishDate | 2022 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | 10Be erosion rates and riverine alkalinity concentration globally Lehmann, Nele Mears, Chantal Thomas, Helmuth Acher; Alaknanda; Alkalinity, normalized; Alkalinity, total; Alkalinity, total, standard deviation; Anton_Riv; Anza; Apennines; Appalachian Mts.; Appalachian Piedmont; Ardeche_Riv; Area/locality; Avisio; Based on Global depth to bedrock (DTB) dataset; Based on Global lithological map database (GLiM); Based on GlobCover; Based on OCTOPUS data base; Based on UNH/GRDC runoff composites; Based on WorldClim 2; Basin; Bernese Oberland; Bhudi_Gandaki; Black Forest; Bonne; Carbon, inorganic, dissolved; Carbonate sedimentary rocks; Carti_Grande_Riv; Catchment, affected by dams; Catchment area; Cenral Andes; Central; Central-East; Central Eastern Alps; Central Idaho Mts.; Central Range; Ceze_Riv; Chagres; Chagres_Riv; Chattahoochee_Riv; Chico_Riv; Chietalbach; Choshui_Riv; Cobre_Riv; Comment; Conductivity, electrical; Country; Cuango; Dan_Riv; Danube; Danube catchment; Diablo_Riv; Dreisam_Riv; Durance_Riv; Eastern; Eastern Alps; Eastern Cape; ELEVATION; Emilia Apennines; Emme; Enza_Riv; Erosion rate; Erosion rate, standard deviation; Evaporite; Event label; Eyrieux_Riv; Feldberg; Felix_Riv; Furkareuss; Ganges; Gard_Riv; GOODD (global dataset of more than 38,000 georeferenced dams); Grande_Riv; Guiers_Riv; Guil; Gulf of Lion; Gutach; Helmholtz-Zentrum Hereon; Herault_Riv; Hereon; Heve; Himalaya; Hokitika_Riv; Hollersbch; Hsinwulu_Riv; Hsueshan Range; Ice and glaciers; Identification; Isere_Riv; Itajai_do_Sul_Riv; Jequitinhonha; Kander_Riv; Karangaru_Riv; Keurbooms_Riv; Khudi; Kleine_Emme; Koralpe_Mts; LATITUDE; LONGITUDE; Lonza; Luyeh_Riv; Marsyandi; Marsyandi Basin; Mengong_Riv; Metamorphite; Meuse; Middle Europe; Milibach; Mohne; Muelbach; Mugua_Riv; MULT; Multiple investigations; Muriae_Riv; Namche Barwa-Gyala Peri Massif; Napo; Napo Riv., Upper Amazon Basin; Nar; Neckar; Nepalese Himalaya; Northwest; Number of measurements; Nyang_Riv; Nyong_Riv; Pacora_Riv; Pequini_Riv; Plutonic rocks, acidic; Plutonic rocks, basic; Plutonic rocks, intermediate; Po_Riv; Po floodplain; Pomba_Riv; Precipitation, annual mean; Pyroclastics; Reference/source; Regen; Reno_Riv; Rhenish Massif; Rhine catchment; Rhone_Riv; Rio_Hercilio; Rio_Itajai-Acu; Rio_Lagorai; Rio de Janeiro; Rohalo_Riv; Romanche; Runoff; Saint_Pierre; Salankhu_Riv; Salmon; Saluda_Riv; Sambro_Riv; Sample ID; San_Miguel_Riv; San_Pablo_Riv; Santa_Maria_Riv; Santa Catarina; Secchia_Riv; Sedimentary rock; Sediments; Sense; Seti_Riv; Setta_Riv; Severaisse; Siliciclastic sedimentary rocks; Simme_Riv; Slope gradient, mean; Snow and ice, permanent; So_o_Riv; Soil thickness; South Cameroon; Southern Espinhaco Range; Styrian_Basin; Sum; Susquehanna; Swiss Alps; Tabasar_Riv; Taro_Riv; Tauernbach; Tech_Riv; Temperature, annual mean; Temperature, water; Toce; Toce_Riv; Trebbia_Riv; Trishuli_Riv; Turbidity (Formazin nephelometric unit); Upper_Rhone; Upper Ganges; Veneon; Vigui_Riv; Vispa_Riv; Volcanic rocks, acidic; Volcanic rocks, basic; Volcanic rocks, intermediate; Water bodies; Wattenbach; West Coast, Soutern Island; Western Alps; Western Central Alps; Western French Alps; Whataroa_Riv; Whole_Reno_basin; Wutach; Yarlung_Tsangpo 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. |
| title | 10Be erosion rates and riverine alkalinity concentration globally |
| topic | Acher; Alaknanda; Alkalinity, normalized; Alkalinity, total; Alkalinity, total, standard deviation; Anton_Riv; Anza; Apennines; Appalachian Mts.; Appalachian Piedmont; Ardeche_Riv; Area/locality; Avisio; Based on Global depth to bedrock (DTB) dataset; Based on Global lithological map database (GLiM); Based on GlobCover; Based on OCTOPUS data base; Based on UNH/GRDC runoff composites; Based on WorldClim 2; Basin; Bernese Oberland; Bhudi_Gandaki; Black Forest; Bonne; Carbon, inorganic, dissolved; Carbonate sedimentary rocks; Carti_Grande_Riv; Catchment, affected by dams; Catchment area; Cenral Andes; Central; Central-East; Central Eastern Alps; Central Idaho Mts.; Central Range; Ceze_Riv; Chagres; Chagres_Riv; Chattahoochee_Riv; Chico_Riv; Chietalbach; Choshui_Riv; Cobre_Riv; Comment; Conductivity, electrical; Country; Cuango; Dan_Riv; Danube; Danube catchment; Diablo_Riv; Dreisam_Riv; Durance_Riv; Eastern; Eastern Alps; Eastern Cape; ELEVATION; Emilia Apennines; Emme; Enza_Riv; Erosion rate; Erosion rate, standard deviation; Evaporite; Event label; Eyrieux_Riv; Feldberg; Felix_Riv; Furkareuss; Ganges; Gard_Riv; GOODD (global dataset of more than 38,000 georeferenced dams); Grande_Riv; Guiers_Riv; Guil; Gulf of Lion; Gutach; Helmholtz-Zentrum Hereon; Herault_Riv; Hereon; Heve; Himalaya; Hokitika_Riv; Hollersbch; Hsinwulu_Riv; Hsueshan Range; Ice and glaciers; Identification; Isere_Riv; Itajai_do_Sul_Riv; Jequitinhonha; Kander_Riv; Karangaru_Riv; Keurbooms_Riv; Khudi; Kleine_Emme; Koralpe_Mts; LATITUDE; LONGITUDE; Lonza; Luyeh_Riv; Marsyandi; Marsyandi Basin; Mengong_Riv; Metamorphite; Meuse; Middle Europe; Milibach; Mohne; Muelbach; Mugua_Riv; MULT; Multiple investigations; Muriae_Riv; Namche Barwa-Gyala Peri Massif; Napo; Napo Riv., Upper Amazon Basin; Nar; Neckar; Nepalese Himalaya; Northwest; Number of measurements; Nyang_Riv; Nyong_Riv; Pacora_Riv; Pequini_Riv; Plutonic rocks, acidic; Plutonic rocks, basic; Plutonic rocks, intermediate; Po_Riv; Po floodplain; Pomba_Riv; Precipitation, annual mean; Pyroclastics; Reference/source; Regen; Reno_Riv; Rhenish Massif; Rhine catchment; Rhone_Riv; Rio_Hercilio; Rio_Itajai-Acu; Rio_Lagorai; Rio de Janeiro; Rohalo_Riv; Romanche; Runoff; Saint_Pierre; Salankhu_Riv; Salmon; Saluda_Riv; Sambro_Riv; Sample ID; San_Miguel_Riv; San_Pablo_Riv; Santa_Maria_Riv; Santa Catarina; Secchia_Riv; Sedimentary rock; Sediments; Sense; Seti_Riv; Setta_Riv; Severaisse; Siliciclastic sedimentary rocks; Simme_Riv; Slope gradient, mean; Snow and ice, permanent; So_o_Riv; Soil thickness; South Cameroon; Southern Espinhaco Range; Styrian_Basin; Sum; Susquehanna; Swiss Alps; Tabasar_Riv; Taro_Riv; Tauernbach; Tech_Riv; Temperature, annual mean; Temperature, water; Toce; Toce_Riv; Trebbia_Riv; Trishuli_Riv; Turbidity (Formazin nephelometric unit); Upper_Rhone; Upper Ganges; Veneon; Vigui_Riv; Vispa_Riv; Volcanic rocks, acidic; Volcanic rocks, basic; Volcanic rocks, intermediate; Water bodies; Wattenbach; West Coast, Soutern Island; Western Alps; Western Central Alps; Western French Alps; Whataroa_Riv; Whole_Reno_basin; Wutach; Yarlung_Tsangpo |
| url | https://doi.org/10.1594/PANGAEA.940522 |