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  "author": "[{\"affiliation\": \"ETHZ\", \"affiliation_02\": \"WSL\", 
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\"affiliation_03\": \"University of California, Berkeley\", 
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\"affiliation_03\": \"University of California, Berkeley\", 
            
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
            
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\"software\", \"publication\", \"supervision\"], \"email\": 
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\"software\", \"publication\", \"supervision\"], \"email\": 
            
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\"kirchner@ethz.ch\", \"given_name\": \"James W.\", \"identifier\": 
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\"kirchner@ethz.ch\", \"given_name\": \"James W.\", \"identifier\": 
            
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  "date": "[{\"date\": \"2023-03-27\", \"date_type\": \"created\", 
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  "doi": "10.16904/envidat.410",
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  "doi": "10.16904/envidat.410",
            
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"ETH 
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Zurich\", \"institution_url\": \"\"}]",
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  "language": "en",
            
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike 
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  "license_title": "Creative Commons Attribution Share-Alike 
            
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(CC-BY-SA)",
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(CC-BY-SA)",
            
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "maintainer": "{\"affiliation\": \"\", \"email\": 
            
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  "metadata_modified": "2023-06-12T09:31:10.928906",
            
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  "name": "eemma",
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  "name": "eemma",
            
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  "notes": "The R script eemma.R, which implements Ensemble End-Member 
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  "notes": "The R script eemma.R, which implements Ensemble End-Member 
            
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Mixing Analysis (EEMMA) to estimate source fractions in mixtures, 
31
Mixing Analysis (EEMMA) to estimate source fractions in mixtures, 
            
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exploiting information contained in time-series correlations among 
32
exploiting information contained in time-series correlations among 
            
33
tracer time series.\r\n\r\nA brief user's guide, a demonstration 
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tracer time series.\r\n\r\nA brief user's guide, a demonstration 
            
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script, and a demonstration data set are also provided, to accompany 
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script, and a demonstration data set are also provided, to accompany 
            
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Kirchner, J.W., Mixing models with multiple, overlapping, or 
35
Kirchner, J.W., Mixing models with multiple, overlapping, or 
            
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incomplete end-members, quantified using time series of a single 
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incomplete end-members, quantified using time series of a single 
            
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tracer, Geophysical Research Letters, 2023.\r\n\r\nThe user's guide is 
37
tracer, Geophysical Research Letters, 2023.\r\n\r\nThe user's guide is 
            
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available for public use under Creative Commons CC-BY-SA.  Public use 
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available for public use under Creative Commons CC-BY-SA.  Public use 
            
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of the scripts is permitted under GNU General Public License 3 (GPL3); 
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of the scripts is permitted under GNU General Public License 3 (GPL3); 
            
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for details see https://www.gnu.org/licenses/",
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for details see https://www.gnu.org/licenses/",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2016-09-02T14:17:02.029939",
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    "created": "2016-09-02T14:17:02.029939",
            
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    "description": " The Research Unit investigates natural hazard 
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    "description": " The Research Unit investigates natural hazard 
            
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processes in mountainous areas, in particular the triggering and 
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processes in mountainous areas, in particular the triggering and 
            
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propagation of floods, sediment transport, landslides, debris flows 
48
propagation of floods, sediment transport, landslides, debris flows 
            
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and rock fall. Process studies on the scale of slopes, channels and 
49
and rock fall. Process studies on the scale of slopes, channels and 
            
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catchments form the basis for the development of simulation models and 
50
catchments form the basis for the development of simulation models and 
            
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of hazard assessment procedures and for the design of countermeasures. 
51
of hazard assessment procedures and for the design of countermeasures. 
            
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To this end worldwide unique observation systems are developed, such 
52
To this end worldwide unique observation systems are developed, such 
            
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as a debris flow balance and geophone systems for bedload transport. 
53
as a debris flow balance and geophone systems for bedload transport. 
            
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Damage and damaging processes due to frequent and extreme events are 
54
Damage and damaging processes due to frequent and extreme events are 
            
55
assessed as prerequisites for the risk-based and sustainable 
55
assessed as prerequisites for the risk-based and sustainable 
            
56
management of natural hazards.\r\n\r\nA second focus of the unit is on 
56
management of natural hazards.\r\n\r\nA second focus of the unit is on 
            
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the estimation and prediction of snow and water resources, e.g. for 
57
the estimation and prediction of snow and water resources, e.g. for 
            
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hydropower production or early recognition of drought. The unit 
58
hydropower production or early recognition of drought. The unit 
            
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operates a snow hydrological service for federal and cantonal agencies 
59
operates a snow hydrological service for federal and cantonal agencies 
            
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and a drought information platform for a broad range of water 
60
and a drought information platform for a broad range of water 
            
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users.\r\n\r\n__Further information__: 
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users.\r\n\r\n__Further information__: 
            
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.ch/en/about-wsl/organization/research-units/mountain-hydrology.html",
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.ch/en/about-wsl/organization/research-units/mountain-hydrology.html",
            
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multiple, overlapping, or incomplete end-members, quantified using 
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multiple, overlapping, or incomplete end-members, quantified using 
            
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time series of a single tracer, Geophysical Research Letters, 2023.",
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time series of a single tracer, Geophysical Research Letters, 2023.",
            
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