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The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046–2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds. Appendix 2 is provided as supplementary information to accompany the forthcoming journal article Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana. These data document the monthly streamflow (in cubic meters per second) at the downstream end of each stream...
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Data are from biological and physical environmental assessments conducted during 2018 in the lower Rouge River, MI. Sites were located upstream, downstream, and within the concrete channel section of the lower Rouge River. Water quality parameters, riparian zone characteristics, reptiles and amphibians, fishes, invertebrates, and river channel characteristics (water depth, flow, velocity) were assessed during 2018 from June-October. Previously established standardized sampling methods were used during all assessments.
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The data describe the number, density, date of collection, and exact collection location of fish eggs (from multiple species) collected in the St. Clair and Detroit Rivers from 2005-2016.
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Region(s) of distribution of Arctic Skate (Amblyraja hyperborea) (Collette, 1879) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Great Sculpin (Myoxocephalus polyacanthocephalus) (Pallas, 1814) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
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Region(s) of distribution of Hairhead Sculpin (Trichocottus brashnikovi) Soldatov & Pavlenko, 1915 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent...
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These datasets include occurrence points and trait data for freshwater fishes, amphibians, and reptiles native to Oregon State. Occurrence data were extracted from the VertNet database and include points within Oregon, Washington, and Idaho, as well as points found within ecoregions that overlap with Oregon state (U.S. EPA Level III EcoRegions). Occurrence points include records from years 1930-2002, and only records with associated museum voucher specimens were included. Database was updated to include one record per species, per year, at a given location. Records were evaluated by taxonomic experts for each species, and suspicious records were either verified or excluded. Trait data were gathered from published...
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Region(s) of distribution of Pacific Herring (Clupea pallasii) Valenciennes, 1847 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Least Cisco (Coregonus sardinella) Valenciennes, 1848 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas...
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Region(s) of distribution of Yellowfin Sole (Limanda aspera) (Pallas, 1814) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where reliable...
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Region(s) of distribution of Shulupaoluk (Lycodes jugoricus) Knipowitsch, 1906 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Belligerent Sculpin (Megalocottus platycephalus) (Pallas, 1814) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
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Region(s) of distribution of Great Sculpin (Myoxocephalus polyacanthocephalus) (Pallas, 1814) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
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Region(s) of distribution of Arctic Shanny (Stichaeus punctatus) (Fabricius, 1780) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas...
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Region(s) of distribution of Okhotsk Hookear Sculpin (Artediellus ochotensis) Gilbert & Burke, 1912 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent...
Tributaries support spawning habitats for three of the four major sub-stocks of Lake Erie walleye (Sander vitreus). Despite a history of anthropogenic degradation and the extirpation of other potamodromous species, the Maumee River, OH continues to support one of the largest fish migrations in the Laurentian Great Lakes. To determine if spawning habitat availability and quality could limit production of Maumee River walleye, a habitat suitability model based on river bottom substrates and water depth was created for the lower 51 km of the Maumee River, and the distribution and relative abundance of walleye eggs deposited in a 25-km stretch of river were assessed. Walleye eggs were collected using a diaphragm pump...
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This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added physical constraint for...
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This dataset includes model inputs that describe local weather conditions for Lake Mendota, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake...
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This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added physical constraint for...
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Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added...
map background search result map search result map Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. Fish eggs collected in the St. Clair and Detroit rivers, 2005-2016 Marine Arctic point distribution of Arctic Skate (Amblyraja hyperborea) (Collett, 1879) Marine Arctic point distribution of Okhotsk Hookear Sculpin (Artediellus ochotensis) Gilbert & Burke, 1912 Marine Arctic polygon distribution of Pacific Herring (Clupea pallasii) Valenciennes, 1847 Marine Arctic polygon distribution of Yellowfin Sole (Limanda aspera) (Pallas, 1814) Marine Arctic point distribution of Shulupaoluk (Lycodes jugoricus) Knipowitsch, 1906 Marine Arctic polygon distribution of Belligerent Sculpin (Megalocottus platycephalus) (Pallas, 1814) Marine Arctic point distribution of Great Sculpin (Myoxocephalus polyacanthocephalus) (Pallas, 1814) Marine Arctic polygon distribution of Great Sculpin (Myoxocephalus polyacanthocephalus) (Pallas, 1814) Marine Arctic polygon distribution of Arctic Shanny (Stichaeus punctatus) (Fabricius, 1780) Marine Arctic polygon distribution of Hairhead Sculpin (Trichocottus brashnikovi) Soldatov & Pavlenko, 1915 Occurrence locations and trait data for freshwater fishes, amphibians, and reptiles native to the state of Oregon Walleye (Sander vitreus) egg deposition and spawning habitat suitability in the Maumee River, OH (2014-2015) Pre-restoration biological and physical assessment of the lower Rouge River, MI, 2018 Process-guided deep learning water temperature predictions: 5 Model prediction data Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE) Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs Pre-restoration biological and physical assessment of the lower Rouge River, MI, 2018 Walleye (Sander vitreus) egg deposition and spawning habitat suitability in the Maumee River, OH (2014-2015) Marine Arctic point distribution of Shulupaoluk (Lycodes jugoricus) Knipowitsch, 1906 Fish eggs collected in the St. Clair and Detroit rivers, 2005-2016 Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. Process-guided deep learning water temperature predictions: 5 Model prediction data Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE) Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data Marine Arctic polygon distribution of Great Sculpin (Myoxocephalus polyacanthocephalus) (Pallas, 1814) Occurrence locations and trait data for freshwater fishes, amphibians, and reptiles native to the state of Oregon Marine Arctic polygon distribution of Hairhead Sculpin (Trichocottus brashnikovi) Soldatov & Pavlenko, 1915 Marine Arctic point distribution of Arctic Skate (Amblyraja hyperborea) (Collett, 1879) Marine Arctic polygon distribution of Belligerent Sculpin (Megalocottus platycephalus) (Pallas, 1814) Marine Arctic polygon distribution of Yellowfin Sole (Limanda aspera) (Pallas, 1814) Marine Arctic polygon distribution of Pacific Herring (Clupea pallasii) Valenciennes, 1847 Marine Arctic polygon distribution of Arctic Shanny (Stichaeus punctatus) (Fabricius, 1780)