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Part 1: Document Description
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Citation |
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Title: |
Sampling Strategies of the Regime-and-memory model (RMM) |
Identification Number: |
doi:10.18419/darus-2035 |
Distributor: |
DaRUS |
Date of Distribution: |
2021-06-24 |
Version: |
1 |
Bibliographic Citation: |
Gonzalez-Nicolas Alvarez, Ana, 2021, "Sampling Strategies of the Regime-and-memory model (RMM)", https://doi.org/10.18419/darus-2035, DaRUS, V1, UNF:6:JeAvfovoq369qtbASSmQjg== [fileUNF] |
Citation |
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Title: |
Sampling Strategies of the Regime-and-memory model (RMM) |
Identification Number: |
doi:10.18419/darus-2035 |
Authoring Entity: |
Gonzalez-Nicolas Alvarez, Ana (Universität Stuttgart) |
Grant Number: |
SFB 1253/1 |
Distributor: |
DaRUS |
Access Authority: |
Gonzalez-Nicolas Alvarez, Ana |
Access Authority: |
Nowak, Wolfgang |
Depositor: |
Gonzalez-Nicolas Alvarez, Ana |
Date of Deposit: |
2021-06-21 |
Holdings Information: |
https://doi.org/10.18419/darus-2035 |
Study Scope |
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Keywords: |
Earth and Environmental Sciences, cocentration-discharge, hydrology, catchment, optimal design of experiments, event-based sampling strategies, high-frequency in situ analyzers, Markov chain Monte Carlo (MCMC), Bayesian inference |
Abstract: |
This excel file includes the observation time, Q, concentration, and lag-time used by the sampling strategies. Types of sampling strategies: <ul> <li>Time frequency sampling strategies. </li> <li>River discharge frequency sampling strategies. </li> <li>Low Q sampling strategies.</li> <li>High Q sampling strategies. </li> <li>Low and High Q sampling strategies.</li> </ul> |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Studies |
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Gonzalez-Nicolas Alvarez, Ana, 2021, "Regime-and-memory model (RMM) Code", <a href="https://doi.org/10.18419/darus-2034">https://doi.org/10.18419/darus-2034</a>, DaRUS |
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Related Publications |
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Citation |
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Title: |
Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M; Nowak, W. Characterization of export regimes in concentration-discharge plots via an advanced time-series model and event-based sampling strategies. Water 2021, 13, 1723 |
Identification Number: |
10.3390/w13131723 |
Bibliographic Citation: |
Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M; Nowak, W. Characterization of export regimes in concentration-discharge plots via an advanced time-series model and event-based sampling strategies. Water 2021, 13, 1723 |
File Description--f64654 |
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File: flow_discharge_frequency_sampling_designs.tab |
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Notes: |
UNF:6:hD62pRgyjaW0dI4vof74IA== |
File Description--f64652 |
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File: high_q_sampling_designs.tab |
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Notes: |
UNF:6:XkKTlOfntjxfQhiH0L7XFA== |
File Description--f64653 |
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File: low_and_high_q_sampling_designs.tab |
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Notes: |
UNF:6:5Q7YX9enLUIl09INbcWNMA== |
File Description--f64650 |
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File: low_q_sampling_designs.tab |
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Notes: |
UNF:6:UggYis04XhJBnQYF8+RFqA== |
File Description--f64651 |
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File: time_frequency_sampling_designs.tab |
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Notes: |
UNF:6:R3xLV6UfgUTLeW1ijWj5sQ== |
List of Variables: |
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Variables |
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f64654 Location: |
Summary Statistics: Min. 5.0; StDev 0.9348122131604149; Max. 8.0; Valid 75.0; Mean 7.2666666666666675; Variable Format: numeric Notes: UNF:6:zPcFHmX4Id7w0CcwXMrXjA== |
f64654 Location: |
Summary Statistics: StDev 1.9009019006871546; Mean 1.5750666666666666; Max. 10.82; Min. 0.42; Valid 75.0; Variable Format: numeric Notes: UNF:6:4s0zlFBuIke1G3HSNCmfkA== |
f64654 Location: |
Summary Statistics: Min. 8.38; Valid 75.0; Max. 36.6; Mean 29.126; StDev 6.686751726260565 Variable Format: numeric Notes: UNF:6:dC6M7PIy9enj+pSc+vyapw== |
f64654 Location: |
Summary Statistics: Min. 7.37; StDev 82.72737344113175; Valid 75.0; Max. 275.13; Mean 149.10746666666665 Variable Format: numeric Notes: UNF:6:GBuTcfJl7UiNDe0OVwa4dg== |
f64654 Location: |
Summary Statistics: Valid 75.0; Mean 3579.586666666667; Min. 178.0; Max. 6604.0; StDev 1985.453798582658; Variable Format: numeric Notes: UNF:6:3eGb8+zgh5ntoJ+7y3HJsw== |
f64654 Location: |
Summary Statistics: StDev 6447872.362045216; Max. 2.21747209E7; Min. 561459.8753; Mean 1.1681583830204E7; Valid 75.0 Variable Format: numeric Notes: UNF:6:Df5cPiq28aKbxcHCW1ZpSg== |
f64652 Location: |
Summary Statistics: Max. 16.0; Valid 75.0; Min. 13.0; StDev 0.9348122131604149; Mean 15.266666666666667; Variable Format: numeric Notes: UNF:6:X1ZEUa0IcrMpja2ap+YslA== |
f64652 Location: |
Summary Statistics: Min. 2.6; Valid 75.0; StDev 7.871384369467159; Mean 11.086; Max. 27.54; Variable Format: numeric Notes: UNF:6:PzsHfEA4trWqVyM1SWpp6A== |
f64652 Location: |
Summary Statistics: Mean 17.004666666666665; Max. 42.54; Valid 75.0; Min. 1.47; StDev 8.251699797590163 Variable Format: numeric Notes: UNF:6:gnjgVNEGt0CBFJmFYlI0vw== |
f64652 Location: |
Summary Statistics: StDev 65.69570100076551; Mean 74.58253333333333; Max. 169.08; Min. 6.71; Valid 75.0 Variable Format: numeric Notes: UNF:6:48uNWpUBTD/PtsVXeyFfOA== |
f64652 Location: |
Summary Statistics: StDev 1576.6918412176053; Min. 162.0; Mean 1791.0; Max. 4059.0; Valid 75.0 Variable Format: numeric Notes: UNF:6:Pi9eBTaj7wEEqWlzMSHLnw== |
f64653 Location: |
Summary Statistics: Min. 17.0; Max. 20.0; Valid 75.0; Mean 19.266666666666666; StDev 0.9348122131604142 Variable Format: numeric Notes: UNF:6:XQlz13YsrfzLG4hM9Mu03w== |
f64653 Location: |
Summary Statistics: Max. 27.54; Min. 0.46; StDev 9.035570362947974; Mean 7.2307999999999995; Valid 75.0; Variable Format: numeric Notes: UNF:6:MLl+xDs0sgJrwONj6k+v3Q== |
f64653 Location: |
Summary Statistics: Min. 9.49; Max. 39.31; Valid 75.0; Mean 24.534533333333332; StDev 7.929505504730388; Variable Format: numeric Notes: UNF:6:Px3+U5DiRZ17s/jyxBtrVw== |
f64653 Location: |
Summary Statistics: Min. 3.25; Mean 49.46693333333333; StDev 43.37805432733498; Valid 75.0; Max. 168.67; Variable Format: numeric Notes: UNF:6:egWGGExi4F5qJ+iViw3U2w== |
f64653 Location: |
Summary Statistics: Valid 75.0; StDev 1041.072051058665; Mean 1188.2266666666671; Max. 4049.0; Min. 79.0 Variable Format: numeric Notes: UNF:6:KRv9yVlsLb33DgdkeQf48A== |
f64650 Location: |
Summary Statistics: StDev 0.9348122131604149; Valid 75.0; Mean 11.266666666666667; Max. 12.0; Min. 9.0; Variable Format: numeric Notes: UNF:6:HL6BWqMWNnCYG1f685fVRw== |
f64650 Location: |
Summary Statistics: Valid 75.0; Min. 0.3; Max. 0.69; StDev 0.09521374720941121; Mean 0.5554666666666667; Variable Format: numeric Notes: UNF:6:BvZCyHJhfTviUTj8wj5X6A== |
f64650 Location: |
Summary Statistics: Valid 75.0; StDev 6.138262092279339; Max. 39.31; Min. 5.78; Mean 31.1008 Variable Format: numeric Notes: UNF:6:dPaJAwjs1vzJIrQXYTzY/A== |
f64650 Location: |
Summary Statistics: StDev 49.84805188454896; Min. 3.25; Valid 75.0; Max. 261.38; Mean 96.05173333333333 Variable Format: numeric Notes: UNF:6:+/f5y4Ds2tltQR3WZeI83A== |
f64650 Location: |
Summary Statistics: StDev 1196.3371925164738; Min. 79.0; Max. 6274.0; Mean 2306.253333333333; Valid 75.0 Variable Format: numeric Notes: UNF:6:Pg5w1PoiO1mwyPds2d3xIA== |
f64651 Location: |
Summary Statistics: Max. 4.0; Valid 75.0; Min. 1.0; StDev 0.9348122131604149; Mean 3.2666666666666675 Variable Format: numeric Notes: UNF:6:l+NSMhQ0g+6ve5RenBqThw== |
f64651 Location: |
Summary Statistics: StDev 0.7466383038371102; Mean 0.9803999999999999; Max. 6.68; Min. 0.36; Valid 75.0 Variable Format: numeric Notes: UNF:6:rkH0l1/kSmOTElCxBi34kA== |
f64651 Location: |
Summary Statistics: Min. 5.84; StDev 5.034943327020305; Max. 36.21; Mean 30.79746666666667; Valid 75.0 Variable Format: numeric Notes: UNF:6:IgdZs/3zgUy8VK74OEXfXA== |
f64651 Location: |
Summary Statistics: Mean 144.8324; Max. 275.0; Valid 75.0; StDev 79.97951754414748; Min. 6.87 Variable Format: numeric Notes: UNF:6:aO8hOEe+Btur90NrLNY4mw== |
f64651 Location: |
Summary Statistics: Min. 166.0; StDev 1919.4921203276663; Valid 75.0; Max. 6601.0; Mean 3477.0 Variable Format: numeric Notes: UNF:6:iGkJzRkaAnV7bWQhjWY+gA== |
Label: |
Sampling_designs.xlsx |
Text: |
This file includes the sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water. Types of sampling strategies: - Time Frequency Sampling Strategies - River Discharge Frequency Sampling Strategies - Low Q Sampling Strategies High Q Sampling Strategies - Low and High Q Sampling Strategies |
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |