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55 results for “Stream flow”
Fish and crayfish density and count data for Peeks Creek, Macon County, NC, USA 2005-2014, 2019, and 2022 following a catastrophic debris flow, as well as six reference streams
We followed the process of recovery of the fish and crayfish assemblage in Peeks Creek, a high-gradient second order stream in the Little Tennessee River watershed of North Carolina, after a debris flow devastated the channel and its riparian zone. After 15 years, the fish assemblage had recovered, and the channel and riparian zone had stabilized. Of the three major components of the fish assemblage, Rainbow Trout (Oncorhynchus mykiss (Walbaum)), a strong swimmer, reappeared in year 1. Longnose Dace (Rhinichthys cataractae (Valenciennes in Cuvier and Valenciennes)) reappeared in year 3. Mottled Sculpin (Cottus bairdii Girard), a weak swimmer, did not become established until year 6 and only resumed expected abundance in year 9. Appalachian Brook Crayfish (Cambarus bartonii cavatus Hay) numbers recovered quickly, though only one individual was found the year following the debris flow. Unassisted natural recovery occurred after a costly engineered restoration project had been rejected and arguably represents the preferable solution. However, recovery of the fish assemblage may not have been achieved if the stream flowed directly into an impoundment or low gradient river that lacked the source of species for recolonization, or if the stream had been located above a barrier to upstream movement.
BNZ Stream Flow Data for submission to EcoTrends
This datafile if a product dataset that is for submission to the EcoTrends project with the LTER program. Data for a selected site was checked for quality issues and aggregated to a single daily average value. The source data can be accessed in the dataset Caribou-Poker Creeks Research Watershed: Daily Flow Rates for C2, C3, C4 (http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=142).
Data on spatial distribution of tracers for optical sensing of stream surface flow
<p>Here, we present the numerical and field data used in the manuscript entitled <em>Spatial distribution of tracers for optical sensing of stream surface flow</em>. Numerical data were synthetically generated considering different values of seeding density and aggregation levels of tracers for image-velocimetry analyses. In total, 33,600 synthetic images were generated. Field data correspond with the Basento River case study located in southern Italy. The respective footage at 12 fps, pre-processed and stabilised frames, and reference velocity data are provided in this dataset.</p>
Impacts of Post-fire Debris Flows on Fluvial Morphology and Sediment Transport in a California Central Coast Stream
<p>Structure from Motion orthoimagery, lidar differencing products, and grain size data to be published with the submission of "Impacts of Post-fire Debris Flows on Fluvial Morphology and Sediment Transport in a California Central Coast Stream" to <em>Journal of Geophysical Research: Earth Surface.</em> </p> <p> </p> <p>2016, 2021, and 2022 orthoimagery for Upper Big Creek:</p> <p>J_2016.tif, J_2021.tif, J_2022.tif, K_2016.tif, K_2021.tif, K_2022.tif, L_2016.tif, L_2021.tif, L_2022.tif</p> <p>Files titled K_[year].tif encompass our upstream study reach; files titled J_[year].tif encompass our middle study reach; files titled L_[year].tif encompass our downstream study reach.</p> <p> </p> <p>2016, 2021, and 2022 orthoimagery for Devil's Creek:</p> <p>G_2016.tif, G_2021.tif, G_2022.tif, _2016.tif, H_2021.tif, H_2022.tif, I_2016.tif, I_2021.tif, I_2022.tif</p> <p>Files labeled G_[year].tif encompass our upstream study reach; files labeled H_[year].tif encompass our middle study reach; files labeled I_[year].tif encompass our downstream study reach.</p> <p> </p> <p>2016, 2021, and 2022 grain size data for Upper Big Creek with units in meters:</p> <p>BC_2016.csv, BC_2021.csv, BC_2022.csv</p> <p> </p> <p>2016, 2021, and 2022 grain size data for Devil's Creek with units in meters:</p> <p>DC_2016.csv, DC_2021.csv, DC_2022.csv</p> <p> </p> <p>Differenced lidar digital terrain models for Big Creek and Devil's Creek with units in meters:</p> <p>DoD_11_22.tif (difference between 2011 and 2022 lidar DTMs), DoD_11_15.tif (difference between 2011 and 2022 lidar DTMs)</p> <p> </p> <p>This work was funded by the Geological Society of America, the National Center for Airborne Laser Mapping, the Washington Section of the American Water Resources Association, the Western Washington University Research and Sponsored Programs Office, and the Western Washington University Geology Department.</p>
A whole-ecosystem experiment reveals flow-induced shifts in a stream community.
<p>This data set is the source for the modeling of a BACI design for experimental manipulation is a stream reach to assess changes in the stream community with emphasis on benthic algae and cyanobacteria.</p>
Fig. 5 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 5. Average habitat suitability index –HSI– in the upper and lower reach of the riacho São Pedro, for the three fish species.
Fig. 6 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 6. Weighted usable area (WUA) in the upper and lower reach of the riacho São Pedro, for the three fish species.
Fig. 4 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 4. Habitat suitability curves for depth (m), mean water column velocity (m/s) and type of substrate for the three fish species in the riacho São Pedro. Substrate types are; 1- large boulder, 2- boulder, 3- cobble, 4- gravel, 5- fine gravel, 6- sand and 7- vegetation.
Fig. 3 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 3. Frequencies of habitat availability by classes of depth (m), mean velocity (m/s) and type of substrate (1- large boulder; 2- boulder; 3- cobble; 4- gravel; 5- fine gravel; 6- sand and 7- vegetation), obtained by direct survey in the riacho São Pedro.
Fig. 1 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 1. Map of the rio Guandu basin, with indication of the studied reach in riacho São Pedro. Solid dash = small substation of CEDAE (Water and Sewer Treatment Works of Rio de Janeiro State). WTP: Water Treatment Plant.
Fig. 2 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 2. Isometric view of the cross-sections in the two target reaches of the riacho São Pedro. Grey color indicates water; solid line indicates the contour of the cross-section (in wet areas and banks).
Рис. 6. Структура сообществ зообентоса оз. УΑыΛь и впаΑающих в него рек и ручьев, июΛь 2021 г. Fig. 6. The structure of zoobenthic communities of Udyl Lake and rivers and streams flowing into it, July 2021 in Quantitative zoobenthos characteristics of the Udyl Lake basin (Udyl Nature Reserve, Khabarovsky Region)
Рис. 6. Структура сообществ зообентоса оз. УΑыΛь и впаΑающих в него рек и ручьев, июΛь 2021 г. Fig. 6. The structure of zoobenthic communities of Udyl Lake and rivers and streams flowing into it, July 2021
Data underlying submission "Tracing stream flow in confluent rivers – a journey from chaos to order"
<p>These data underly the analysis presented in the manuscript "Tracing stream flow in confluent rivers – a journey from chaos to order" by Erwin Zehe, Samuel Schroers and Hubert Savenije.</p> <p>The data used for this analysis are available were taken from the globally available the HydroSHEDS data base <em>at https://www.hydrosheds.org created by Lehner et al. (2008)</em>. The extracted data for analyzing the 18 of the largest Rivers are stored as csv files sorted by river names. The metadata are provided in "HydroSHEDS_TechDoc_v1_4.pdf" and "BasinATLAS_Catalog_v10.pdf".</p> <p>The matal codes for data analysis and simulations were tested and should be self-explaining.</p> <p> Lehner, B., Verdin, K. & Jarvis, A. New Global Hydrography Derived From Spaceborne Elevation Data. <em>Eos, Transactions American Geophysical Union</em> <strong>89</strong>, 93-94, doi:<a href="https://doi.org/10.1029/2008EO100001">https://doi.org/10.1029/2008EO100001</a> (2008).</p>
Data and scripts belonging to "Time lags of nitrate, chloride, and tritium in streams assessed by dynamic groundwater flow tracking in a lowland landscape"
<p>Data and scripts belonging to Kaandorp et al., 2021 "Time lags of nitrate, chloride, and tritium in streams assessed by dynamic groundwater flow tracking in a lowland landscape". Hydrology and Earth System Sciences. </p>
Data from: Spatial sorting caused by downstream dispersal: Implication for morphological evolution in isolated populations of fat minnow inhabiting small streams flowing through terraced rice paddies
Open the record for dataset details and reuse information.
The Influence of Flow on Creek Chub (Semotilus atromaculatus) Movement in an Intermittent Urban Headwater Stream
Fish movement in freshwater streams is often tied to patterns of flow, especially when the stream is intermittent, flashy, or some combination thereof. This relationship between flow and fish movement is exacerbated in small urban streams in impervious surface-dominated watersheds that lead to extreme flow conditions. This study focused on the response of Creek Chub (Semotilus atromaculatus), a common pioneer fish species in eastern North America, to flow events of various sizes in a small intermittent urban headwater stream. Our primary goals were to determine 1) the level of Creek Chub movement occurring in an intermittent headwater stream, 2) the influence of flow on movement direction and magnitude, 3) the degree of variation in individual movement behavior, and 4) mortality rates in the system. The study used PIT tagging and telemetry surveys to monitor Creek Chub movement over a six-month period. We found that individual Creek Chub in our study system were generally mobile (71%), but usually moved short distances only; however, a few individuals moved much farther, with a maximum single movement of 521 m. Moderate or major flow events increased the probability and magnitude of Creek Chub movement, and neither upstream nor downstream movement was favored. Movement was variable among individual fish and fish were able to respond to large and small flow events to move among habitats. Finally, we observed relatively high, but episodic, mortality in our study site, potentially related to pollution events. Evidence of elevated mortality emphasizes the importance of movement in highly disturbed streams, as it may enable recolonization after local extirpation.
Data from: Effects of an experimental increase in flow intermittency on an alpine stream
<p>Flow intermittency occurs naturally in alpine streams. However, changing rainfall patterns and glacier retreat are predicted to increase the occurrence of flow intermittency in alpine catchments, with largely unknown effects on ecosystem structure and function. We conducted a flow manipulation experiment within a headwater stream of Val Roseg, a glacierized alpine catchment, to determine the effects of increased flow intermittency on aquatic macroinvertebrates, periphyton, benthic organic matter, and trophic structure. Compared to an adjacent reference channel, an increase in flow intermittency reduced macroinvertebrate density, taxa richness, and the proportion of rheophilic taxa. Density and richness remained low in the manipulated channel after resumption of natural flow. Flow intermittency did not affect organic matter standing stocks, but increased assimilation of periphyton by aquatic macroinvertebrates. Predation on aquatic invertebrates by riparian spiders also increased. We attribute many of these patterns to the timing of drying, which likely excluded summer-growing cohorts of rheophilic, aerial dispersers. This study suggests that reductions in summer glacial melt and rainfall events might increase flow intermittency and lead to fundamental changes in diversity and function of alpine fluvial networks.</p>
Data from: Anthropogenic land-use change intensifies the effect of low flows on stream fishes
1. As ecosystems experience simultaneous disturbances, it is critical to understand how multiple stressors interact to affect ecological change. Land-use change (LUC) and extreme flow events are two important stressors that could interact to affect fish populations. 2. We evaluated the individual and interactive effects of discharge and LUC associated with oil and natural gas development (ONGD) on populations of two stream fishes over a seven-year period. We used repeated-state (i.e., abundance trends) and rate (i.e., colonization and persistence) responses to advance our understanding of flow-ecology relationships in a multiple-stressor framework. 3. Overall, fish abundance, colonization, and persistence declined in association with discharge. The effect of LUC associated with ONGD differed between species, with the abundance of Mottled Sculpin declining and Mountain Sucker increasing. We found both synergistic and antagonistic interactions between discharge and LUC. LUC intensified the effect of low flows for one species and lead to greater variability in responses to flows for the other species. These differences between species' responses are likely due to differences in their physiological tolerances and behavioral adaptations to disturbance. 4. Synthesis and applications. Our research provides empirical evidence for the complex interactions that can arise between discharge and anthropogenic LUC. Management efforts (e.g., silt fences, vegetation replanting, and in-stream restoration) to mitigate the effects of anthropogenic alterations and promote high-quality refuge habitats could help mitigate the effect of hydrologic extremes. Further development of flow-ecology relationships in a multiple-stressor framework will help guide management of stream fishes, and provide a better understanding of the mechanisms underlying flow-ecology relationships for different species.06-Sep-2019
Datasets of surface ice flow speed for Pine Island Glacier, Ferrigno Ice Stream and Leonardo Glacier
<p>Here we make available the datasets used in my MRes dissertation as part of the School of Earth and Environment at the University of Leeds. The research paper presents a novel method to automatically detect speed anomalies in ice velocity datasets.</p>
Data from: Forestry impacts on stream flows and temperatures: A quantitative synthesis of paired catchment studies across the Pacific salmon range
<p>Forestry is pervasive across temperate North America and may influence aquatic environmental conditions such as flows and temperatures, as well as important species such as Pacific salmon (<em>Oncorhynchus</em> spp.). While there have been many large-scale forestry experiments using paired catchment designs, these studies have yet to be quantitatively synthesized. Thus, it remains unclear whether forestry impacts are consistent, context-dependent, or unpredictable. This study aims to quantitatively synthesize forestry impacts on streamflow and temperature, through a systematic review and synthesis of paired catchment studies across the range of Pacific salmon. Specifically, we investigated whether generalizable relationships exist between forestry intensity (percent watershed harvested) and impacts to streamflow and temperature. We also examined whether watershed features (climate, hydrology, lithology) and harvest method mediated forestry impacts. We extracted information from 35 unique paired-catchments from California to Alaska. Forestry had strong impacts on peak and low flows and maximum summer water temperatures, but responses were quite variable. Across all catchments, forestry elevated peak flows ~20% (n = 31 catchments), reduced low flows ~25% (n = 13 catchments), and increased maximum summer temperatures ~15% (n = 35 catchments) on average. However, these impacts were variable and were not predictable based on forestry intensity, thus broader stressor-response relationships were not supported. Forestry impacts on peak flows and maximum summer temperatures varied spatially. Peak flow impacts increased with increased northward latitude and temperature impacts decreased with eastward longitude. However, the magnitude of impacts were unrelated to other watershed attributes, which included climate (precipitation and aridity), rain vs. snow hydrology, elevation, and bedrock lithology. Harvest method and riparian buffer presence also had no detected effects on forestry impacts across studies and statistical models explained a low proportion of variation overall. Collectively, our results indicate that forestry can have substantial impacts on key environmental conditions; however, the magnitude of impact was variable and could not be clearly linked to easily-measured watershed characteristics. This implies that forestry impacts are not broadly predictable. Probabilistic risk models based on distributions of potential impacts may therefore be more useful for watershed management in data-poor situations.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.