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Fig. 5 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. 5. Detailed photographs of the spinous portion of the dorsal fin of species of Bujurquina Kullander, 1986 in the Northern group (see Figs 1 and 4). Note two main types of patterning of the dorsal fin, a blotched patterning vs lines in the spinous portion of the dorsal fin. Note additional differences in patterning of the spinous portion of the dorsal fin between the species, such as different numbers of lines per membrane, their thickness or angle. Also note differences in the coloration of the dorsal fin lappets between some of the species.

Fig. 6 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. 6. Bujurquina omaguasp. nov., holotype (MUSM 70225), 97.4 mm, ID tag 1189, Quebrada Sabalillo, cabeceras upper loc. P18-17 (3°27´08.4˝ S, 72°29´11.8˝ W). A. Left side. B. Right side reversed.

Fig. 2 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. 2. Representative live specimens of the valid species of Bujurquina Kullander, 1986 (plus B. sp. Bolivia) in the Southern group (no photo of a live specimen of B. cordemadi Kullander, 1986 is available and we are not aware that the species has ever been reliably identified and photographed alive).

Fig. 7 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. 7. Bujurquina omagua sp. nov., paratypes. A. MUSM 70223, P18-16_1186, 92.6 mm. B. MUSM 70222, P18-16_1185, 79.9 mm. C. MUSM 70221, P18-15_1182, 78.7 mm. D. MUSM 70226, P18- 17_1190, 98.9 mm. E. MUSM 70229, P18-21_1200. F. MUSM 70227, P18-17_1191, 69.7 mm. G. MUSM 70228, P18-17_1192, 77.1 mm.

Fig. 1 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. 1. Distribution and the two main groups of species of Bujurquina Kullander, 1986. Shown with red dotted lines are main geographic drainage basin divides (structural arches) of the western Amazon. Red arrows show the two main subducting ridges responsible for the origin of the formation of the structural arches of the western Amazon. All species were included in morphological analyses, species with an asterisk were also available for molecular analyses. Stars denote type localities for valid species.

Fig. 4 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. 4. Representative live specimens of the valid species of Bujurquina Kullander, 1986 in the Northern group including the newly described species B. omagua sp. nov.

Fig. 3 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. 3. Detailed photographs of the spinous portion of the dorsal fin of species of Bujurquina Kullander, 1986 in the Southern group (see Figs 1–2). Note lack of patterning as opposed to various types of ornamentation in species of the Northern group. Note differences in the coloration of the dorsal fin lappets between some of the species, e.g., red-orange, vs white vs black.

publicAug 2023View details →

dryad40/100

Data for: Mimicking functional elements of the natural flow regime promotes native fish recovery in a regulated river

Open the record for dataset details and reuse information.

opencc-by-4.0May 2020View details →

Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers

Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers  Published in Remote Sensing (DOI coming soon) Description: These CSV tables contain daily discharge data of large rivers measured by USGS gauges. We used overpass timing and cloud cover information for Landsat 5, 7, and 8 over a 35-year study period. Code that was used to produce, process and analyze these data can be found in the following code repository: <a href="https://github.com/geoallen/ROTFL">https://github.com/geoallen/ROTFL</a> About the data: Each column contains data from an individual gauge. The column name is the USGS gauge number. If the gauge number (column name) is 7 digits, it is understood that the number begins with a zero (all gauge numbers are 8 digits; this is only important if you are re-downloading data).  All tables are equal dimensions. The position of a discharge measurement in the DischargeValues table can be used to look up it’s date recorded/qualification code in the Dates and Codes tables as every row-col combination refers to the same measurement.  Measurements span data range: 1984-01-01 to 2019-08-13  DischargeValues = Discharge recorded in cubic feet per second  DischargeDates = Unix date that discharge measurement was recorded on.  DischargeCodes = Daily Value Qualification Code

opencc-by-4.0Jan 2021View details →

Debris flow inventory and data for regionally modelling runout in the upper Maipo river basin, Chile

This dataset contains mapped debris flow source points, runout track polygons and elevation data for the upper Maipo river basin, Chile

openother-pdMay 2017View details →

Po River daily river flows 1920-2009

Time series of the Po River Daily river flows at Pontelagoscuro from Jan 1st 1920 to Dec 31st 2009. Data are in cubic meters per second. Observations taken on Feb 29th have been removed.

opencc-by-4.0Nov 2024View details →

Surface flow velocity from Pulmanki, Koita and Sävar Rivers 2020-2022

Data description: Surface flow velocity dataset was created using Hydro-STIV software (Hydro-STIV v.1.2.2, Hydro Technology Institute co.), which uses Space-Time Image Velocimetry (STIV) for velocity estimation, a method derived from Large-Scale Particle Image Velocimetry (LSPIV) developed by Fujita in 2007 (Fujita et al., 2007). The videos were georeferenced using known GCPs and the software performed orthorectification and calibration. The data has been used for publication "Surface flow and ice rafting velocities during freezing and thawing periods in Nordic rivers". Data consists of videos and daily stil images from Pulmanki, Koita and Sävar Rivers from Autumn freezing and Spring thawing periods. The data from Koita River is from 2020-2021 and from Pulmanki and Sävar Rivers from 2021-2022. The original raw data based on which the STIV analysis was performed was collected with Burrel time-lapse RGB cameras.    Acknowledgements: The river-ice related measurements were initiated at Pulmankijoki River in 2014 under the post-doctoral research project of Dr Lotsari, funded by the Research Council of Finland (ExRIVER: grant number 267345), and this study is a continuum in the series of these winter season studies. The work for this study was financially supported by four other projects funded by the Research Council of Finland (DefrostingRivers: 338480; HYDRO-RDI-Network: 337394; Digital Waters [DIWA] Flagship;359248). In addition, the work was funded by The European Union – NextGenerationEU Recovery instrument (RRF) through Research Council of Finland projects Hydro RI Platform (346167) and Green-Digi-Basin (347703). The Department of Geographical and Historical Studies, University of Eastern Finland, supported financially the field work done at Koita River. The work by Dr Lina Polvi-Sjöberg at the Sävar River was financed by a grant (2023-01513) from the Swedish Research Council Formas.

opencc-by-4.0Jan 2022View details →

Flowing days Derived from CubeSat Imagery and Ground Observations in Hassayampa River (HR), Arizona from 2019-2021 (Water Years)

Flowing days derived from CubeSat imagery and ground observations in Hassayampa River (HR), Arizona from October 2018 to September 2021. This database supports the following paper: <div> <div>Wang, Z., & Vivoni, E. R. (2022). Detecting streamflow in dryland rivers using CubeSats. Geophysical Research Letters, 49, e2022GL098729. <a href="https://doi.org/10.1029/2022GL098729">https://doi.org/10.1029/2022GL098729</a></div> </div> <div> <div> </div> </div> This database includes three folders. <ol> <li>GroundObservations: Ground observations along the HR retrieved from USGS website (https://waterdata.usgs.gov/nwis) and Flood Control District of Maricopa County using Single Sensor Data Reports tool (https://alert.fcd.maricopa.gov/showrpts_mc.html): <ol> <li>Precip: Records of daily precipitation amount.</li> <li>Stream: Records of daily streamflow amount.</li> </ol> </li> <li>GIS: GIS layers used in deriving flowing days. <ol> <li>Subreach: Shapefiles of nine sub reaches along the HR.</li> <li>Buffer segment: Buffer zones perpendicular to HR reaches at 90 m resolution. Column ID is sorted in ascending order along the HR.</li> <li>Channel masks: Channel masks of HR derived from Planet data.</li> </ol> </li> <li>Results <ol> <li>BufferSegment_Flowdays.xlsx: Days with flow determined using the NIR difference threshold for water years (WY) 2019 to 2021 for each 90 m buffer areas. The relative location of each buffer areas can be found in the Buffer Segment GIS layer. ‘NaN’ suggests no data.</li> </ol> </li> </ol> <div> <div> </div> </div>

opencc-by-4.0May 2022View details →

River bed sediment and debris flow deposit lithology and Schmidt Hammer Rock Strength dataset, Suiattle River, Washington State, USA

This dataset includes measurements of river bed sediment lithology and Schmidt Hammer Rock Strength (SHRS), as well as debris flow deposit lithology, grain size, and SHRS, at sites along the Suiattle River, North Cascades, Washington State, USA. See Pfeiffer et al. (2022, JGR-ES) for further description of the collection methodology and site description.

dryad36/100

Data from: Amazonian rivers are leaky barriers to gene flow in forest understory birds

Ever since Alfred Russel Wallace's nineteenth-century observation that related terrestrial species are often separated on opposing riverbanks, major Amazonian rivers have been recognized as key drivers of speciation. However, rivers are dynamic entities whose widths and courses may vary through time. It thus remains unknown how effective rivers are at reducing gene flow and promoting speciation over long timescales. We fit demographic models to genomic sequence to reconstruct the history of gene flow in three pairs of avian taxa fully separated by different Amazonian rivers, and whose geographic ranges do not make contact in headwater regions. Models with gene flow were best fit, but still supported an initial period without any gene flow which ranged from 187,000 to over 959,000 years, suggesting that rivers are capable of initiating speciation through long stretches of allopatric divergence. Allopatry was followed by either bursts or prolonged episodes of gene flow that retarded genomic differentiation but did not homogenize populations. Our results support Amazonian rivers as key barriers that promoted speciation and the buildup of species richness, but they also suggest that river barriers are often leaky, with genomic divergence accumulating slowly due to episodes of substantial gene flow.

opencc-zeroMay 2024View details →

opencc-by-4.0Apr 2023View details →

Dataset on flow dynamics in rivers with riffle-pool morphology: results from case studies and field experiments on the Tagliamento River, Italy

Riffle-pool sequences in rivers, formed due to interactions between river flow, alluvium and vegetation, provide vital ecological services to aquatic organisms and therefore are considered as fundamental habitats in fluvial ecosystems. Nevertheless, the knowledge of associated riffle-pool hydrodynamics is limited because of a lack of high-resolution data collected in rivers and scaling effects present in laboratory studies. Here we present a dataset on turbulent flow structure in riffle-pool sequences of a natural river. Two case studies and two field-based experiments were carried out in a side branch of the braided gravel-bed Tagliamento River in Italy. Our case studies deliver detailed information about the there-dimensional structure of mean and turbulent flows in natural riffle-pool/run and pool-riffle/glide transitions. Field-based experiments completed with the in-stream flume models of a riffle-pool transition and a shallow jet model provide a methodological bridge for linking simplified hydrodynamic theories of shallow jets to complex flow structure documented by our case studies. Therefore, this dataset enables examination of scaling effects and can be widely used for validation of numerical models.