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105 results for “River Flow”
Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance - Data Revision
<p>Datasets and R code related to manuscript entitled, "Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance". See '0_READ_ME.rtf' file for additional description of available files.</p>
Synthetic river flow videos dataset
<p>###### ######### ########## ###### ######### ##########<br> <strong> Synthetic river flow videos for evaluating image-based velocimetry methods</strong><br> ###### ######### ########## ###### ######### ##########<br> # Year : 2022<br> # Authors : G.Bodart (guillaume.bodart@inrae.fr), J.Le Coz (jerome.lecoz@inrae.fr), M.Jodeau (magali.jodeau@edf.fr), A.Hauet (alexandre.hauet@edf.fr)</p> <p>###<br> <em>This file describes the data attached to the article</em></p> <p>### -><strong> 00_article_cases</strong><br> ########################<br> <em>This folder contains the data used in the case studies: synthetic videos + reference files.</em></p> <p> - 00_reference_velocities<br> -> Reference velocities interpolated on a regular grid. Data are given in conventionnal units, i.e. m/s and m.</p> <p> - 01_XX<br> -> Data of the first case study</p> <p> - 02_XX<br> -> Data of the second case study</p> <p>### -> <strong>01_dev</strong><br> #############<br> <em>This folder contains the Python libraries and Mantaflow modified source code used in the paper. The libraries are provided as is. Feel free to contact us for support or guidelines.</em></p> <p> - lspiv<br> -> Python library used to extract, process and display results of LSPIV analysis carried out with Fudaa-LSPIV</p> <p> - mantaflow-modified<br> -> Modified version of Mantaflow described in the article. Installation instructions can be found at http://mantaflow.com</p> <p> - syri<br> -> Python library used to extract, process and display fluid simulations carried out on Mantaflow and Blender. (Require the lspiv library)</p> <p>### -> <strong>02_dataset</strong><br> #################<br> <em>This folder contains synthetic videos generated with the method described in the article. The fluid simulation parameters, and thus the reference velocities, are the same as those presented in the article. </em></p> <p> - The videos can be used freely. Please consider citing the corresponding paper.</p>
Laboratory data - physical modelling of gravel bed rivers under unsteady flow conditions
<p>Sediment transport and topography data from laboratory experiments under unsteady flow conditions.</p> <p>Data supporting the manuscript:<br> Redolfi, M., Bertoldi, W., Tubino, M., & Welber, M. (2018). Bed load variability and morphology of gravel bed rivers<br> subject to unsteady flow: A laboratory investigation. Water Resources Research, 54, 842–862. https://doi.org/<br> 10.1002/2017WR021143<br> Details about the physical model and the experimental procedure can be found in the paper.</p>
Key dataset used in the paper of "Emergent constraints reveal lower estimates of global river flow"
<p>This dataset includes key data used in the emergent constraint approach for refined partitioning of global water cycle components. </p>
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
FIGURE 2 in Different stocks of Prochilodus lineatus along the Cinzas River basin: contributions from a free-flowing tributary in the Capivara Reservoir region, Paranapanema River basin (upper Paraná River)
FIGURE 2 | Results of Bayesian clustering analysis (STRUCTURE) forProchilodus lineatus samples obtained along in Laranjinha River (L1–L4), Cinzas River main channel (CI), Capivara Reservoir (CA), Tibagi River (TI) and a restocking event (ST). Estimates of the number of K groups based on mean likelihood Ln(K) (A) and ∆K statistic (B). Graphical representation based on K = 3 (C). Each column represents a different individual and the colors represent the probability membership coefficient of that individual for each genetic cluster.
FIGURE 1 in Different stocks of Prochilodus lineatus along the Cinzas River basin: contributions from a free-flowing tributary in the Capivara Reservoir region, Paranapanema River basin (upper Paraná River)
FIGURE 1 | Sampling locations for Prochilodus lineatus along the Capivara Reservoir region (Paranapanema River basin), including the Laranjinha River (L1–L4), Cinzas River main channel (CIU - upstream and CID - downstream from Salto Cavalcante falls), Capivara Reservoir (CA) and Tibagi River (TI), as well as the site (ST) of a restocking event in the Laranjinha River. Source: modified from Google Earth, 2018 (https://www.google.com.br/maps).
FIGURE 3 in Different stocks of Prochilodus lineatus along the Cinzas River basin: contributions from a free-flowing tributary in the Capivara Reservoir region, Paranapanema River basin (upper Paraná River)
FIGURE 3 | Results from mtDNA (D-Loop) of Prochilodus lineatus in Cinzas River basin, Capivara Reservoir and Tibagi River. A. Mismatch distributions of mitochondrial haplotypes for all samples. B. Haplotype network, including GenBank data revealing previous records of some haplotypes in Paraná River main channel (PR) and in the Pardo (PA), Mogi-Guaçu (MG), Verde (VE), Peixe (PE), Aguapeí (AG), and Iguaçu (IG) rivers. Circle sizes are proportional to haplotype frequency.
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>
Fig. 4. Fish assemblage ordination resulting from a in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 4. Fish assemblage ordination resulting from a CA analysis using species (a), family (b), trophic guild (c), and MOS (d) descriptors in the downstream site, Comté River. Bold text indicates the species, family, trophic guild or MOS which contributes most to axes. Dots = samples taken during high waters; triangles = samples takes during low waters. Numbers correspond to fish species in Table 1. Axis scales are indicated in the small box.
Fig. 2. Water level oscillation measured between August 1998 and July 2000 in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 2. Water level oscillation measured between August 1998 and July 2000 at the Hydrological station on the Comté River. The numbers indicate the mean water level during the month of sampling.
Fig. 1 in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 1. Localization of the sampling sites on the Comté River, French Guiana. A = upstream site; B = downstream site; HS = Hydrological station.
Fig. 17 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 17. Phylogenetic relationships and species delimitation within Bujurquina Kullander, 1986 based on the cytb marker from BEAST analysis. Numbers at nodes show age in Ma, grey bars at nodes show confidence intervals of age estimates (95% HPD). Bayesian posterior probabilities above 0.95 are shown as black points on nodes. Scale bar shows 5 My. Note the two main groups of Bujurquina.
Fig. 16 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 16. PCA based on morphometric proportional values of LPJ of all described species in Bujurquina Kullander, 1986 based on specimens ≥ 60 mm SL. Colors represent individual species. Note that B. omagua sp. nov. has the most outlying LPJ shape.
Fig. 15 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 15. Morphometric variation and discrimination of Northern group species in Bujurquina from the central western Amazon river basin (i.e., excluding B. zamorensis (Regan, 1905)) based on morphometric proportional values of SL in PCA based on specimens ≥ 60 mm SL. Colors represent individual species. Note main separation along PC1 which also corresponds to two main ecomorphs (lotic and lentic). Note that B. omagua sp. nov. is separated from these geographically closest species by its large head and long snout. Note improved separation of B. huallagae Kullander, 1986, B. ortegai Kullander, 1986 and B. moriorum Kullander, 1986 after exclusion of B. zamorensis (cf. Fig. 14).
Fig. 14 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 14. Morphometric variation and discrimination of Northern group species in Bujurquina Kullander, 1986 from the western Amazon river basin based on morphometric proportional values of SL in PCA based on specimens ≥ 60 mm SL. Colors represent individual species. Note main separation along PC1 which also corresponds to two main ecomorphs (lotic and lentic). Note that B. omagua sp. nov. is separated from these geographically closest species by its large head. Note that B. zamorensis (Regan, 1905) is the most lotic and B. syspilus (Cope, 1872) the most lentic species identified by the analysis.
Fig. 12 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 12. Lower portions of Sabalillo and Oran streams with muddy water with a blackish tinge (June 2018). Bujurquina omagua sp. nov. was not encountered in these habitats, which are typical for B. syspilus (Cope, 1872) in this area (see Fig. 13). A. Quebrada Sabalillo close to mouth into Amazon River. B. Oran creek at mouth of P18-21.
Fig. 13 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 13. Distribution of Bujurquina omagua sp. nov. and parapatric species in the so far whole known area close to Oran village, District Las Amazonas, Maynas Province, Department Loreto, Perú.
Fig. 10 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 10. Bujurquina omagua sp. nov., paratype (MUSM 70222, P18-16_1185, 79.9 mm), lower pharyngeal tooth plate in occlusal view. Scale bar = 1 mm.
Fig. 8 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 8. Bujurquina omagua sp. nov., color photos of preserved specimens. A. Holotype (MUSM 70225, ID tag 1189), 97.4 mm. B. Paratype (MUSM 70226, P18-17_1190), 98.9 mm.
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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.