Found: 28
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Process‐Guided Deep Learning Predictions of Lake Water Temperature.
- Published in:
- Water Resources Research, 2019, v. 55, n. 11, p. 9173, doi. 10.1029/2019WR024922
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- Publication type:
- Article
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
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- Hydrological Processes, 2022, v. 36, n. 4, p. 1, doi. 10.1002/hyp.14565
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- Publication type:
- Article
Model‐Data Fusion to Test Hypothesized Drivers of Lake Carbon Cycling Reveals Importance of Physical Controls.
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- Journal of Geophysical Research. Biogeosciences, 2018, v. 123, n. 3, p. 1130, doi. 10.1002/2017JG004084
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- Article
Experimental whole-lake dissolved organic carbon increase alters fish diet and density but not growth or productivity.
- Published in:
- Canadian Journal of Fisheries & Aquatic Sciences, 2018, v. 75, n. 11, p. 1859, doi. 10.1139/cjfas-2017-0283
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- Publication type:
- Article
Physics-guided machine learning from simulated data with different physical parameters.
- Published in:
- Knowledge & Information Systems, 2023, v. 65, n. 8, p. 3223, doi. 10.1007/s10115-023-01864-z
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- Publication type:
- Article
Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density.
- Published in:
- Global Change Biology, 2016, v. 22, n. 8, p. 2766, doi. 10.1111/gcb.13260
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- Publication type:
- Article
Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions.
- Published in:
- Journal of the American Water Resources Association, 2023, v. 59, n. 2, p. 317, doi. 10.1111/1752-1688.13093
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- Publication type:
- Article
Integrated, Regional‐Scale Hydrologic Modeling of Inland Lakes.
- Published in:
- Journal of the American Water Resources Association, 2018, v. 54, n. 6, p. 1302, doi. 10.1111/1752-1688.12688
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- Publication type:
- Article
A Framework for Understanding Variation in Pelagic Gross Primary Production of Lake Ecosystems.
- Published in:
- Ecosystems, 2018, v. 21, n. 7, p. 1364, doi. 10.1007/s10021-018-0226-4
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- Publication type:
- Article
The Influence of Hydrologic Residence Time on Lake Carbon Cycling Dynamics Following Extreme Precipitation Events.
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- Ecosystems, 2017, v. 20, n. 5, p. 1000, doi. 10.1007/s10021-016-0088-6
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- Publication type:
- Article
Using near‐term forecasts and uncertainty partitioning to inform prediction of oligotrophic lake cyanobacterial density.
- Published in:
- Ecological Applications, 2022, v. 32, n. 5, p. 1, doi. 10.1002/eap.2590
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- Publication type:
- Article
The importance of lake-specific characteristics for water quality across the continental United States.
- Published in:
- Ecological Applications, 2015, v. 25, n. 4, p. 943, doi. 10.1890/14-0935.1
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- Publication type:
- Article
Hydrologic setting constrains lake heterotrophy and terrestrial carbon fate.
- Published in:
- Limnology & Oceanography Letters, 2018, v. 3, n. 3, p. 256, doi. 10.1002/lol2.10054
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- Publication type:
- Article
National-scale remotely sensed lake trophic state from 1984 through 2020.
- Published in:
- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-02921-0
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- Publication type:
- Article
Estimating pelagic primary production in lakes: Comparison of <sup>14</sup>C incubation and free‐water O<sub>2</sub> approaches.
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- Limnology & Oceanography, Methods, 2022, v. 20, n. 1, p. 34, doi. 10.1002/lom3.10471
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- Publication type:
- Article
Improving estimates and forecasts of lake carbon dynamics using data assimilation.
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- Limnology & Oceanography, Methods, 2019, v. 17, n. 2, p. 97, doi. 10.1002/lom3.10302
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- Publication type:
- Article
Hacking Limnology Workshops and DSOS23: Growing a Workforce for the Nexus of Data Science, Open Science, and the Aquatic Sciences.
- Published in:
- Limnology & Oceanography Bulletin, 2024, v. 33, n. 1, p. 35, doi. 10.1002/lob.10607
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- Publication type:
- Article
Hacking Limnology Workshop and DSOS22: Creating a Community of Practice for the Nexus of Data Science, Open Science, and the Aquatic Sciences.
- Published in:
- Limnology & Oceanography Bulletin, 2022, v. 31, n. 4, p. 123, doi. 10.1002/lob.10525
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- Publication type:
- Article
The AEMON‐J "Hacking Limnology" Workshop Series & Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research.
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- Limnology & Oceanography Bulletin, 2021, v. 30, n. 4, p. 140, doi. 10.1002/lob.10475
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- Publication type:
- Article
Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research.
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- Limnology & Oceanography Bulletin, 2020, v. 29, n. 4, p. 144, doi. 10.1002/lob.10411
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- Publication type:
- Article
Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere.
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- Limnology & Oceanography, 2023, v. 68, n. 12, p. 2617, doi. 10.1002/lno.12449
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- Publication type:
- Article
Landscape patterns shape wetland pond ecosystem function from glacial headwaters to ocean.
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- Limnology & Oceanography, 2017, v. 62, p. S207, doi. 10.1002/lno.10575
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- Publication type:
- Article
Delving deeper: Metabolic processes in the metalimnion of stratified lakes.
- Published in:
- Limnology & Oceanography, 2017, v. 62, n. 3, p. 1288, doi. 10.1002/lno.10504
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- Publication type:
- Article
Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake.
- Published in:
- Limnology & Oceanography, 2016, v. 61, n. 2, p. 723, doi. 10.1002/lno.10248
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- Publication type:
- Article
Ripples on the web: Spreading lake information via Wikipedia.
- Published in:
- Limnology & Oceanography Bulletin, 2020, v. 29, n. 3, p. 70, doi. 10.1002/lob.10382
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- Publication type:
- Article
Support of Early‐Career Researchers Supports the Future of ASLO.
- Published in:
- 2019
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- Publication type:
- Proceeding
INNOVATIONS AND SOLUTIONS FOR ASLO STUDENT TRAVEL GRANTS.
- Published in:
- Limnology & Oceanography Bulletin, 2017, v. 26, n. 2, p. 54, doi. 10.1002/lob.10168
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- Publication type:
- Article
Phytoplankton traits predict ecosystem function in a global set of lakes.
- Published in:
- Ecology, 2015, v. 96, n. 8, p. 2257, doi. 10.1890/14-2102.1
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- Publication type:
- Article