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9 results for “flooding regime”

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zenodo40/100

Fig. 2 in Effects of flood regime on the diet of Triportheus curtus (Garman, 1890) in an Amazonian floodplain lake

Fig. 2. Variation in river level (measured every three days) during the hydrological cycle from 2008 to 2009 in Lake Amapá. Gray line shows the threshold level for flooding from the Acre River. Main periods of pre-flooding, flooding, and postflooding are indicated at the base of the graph.

opencc-by-4.0Sep 2011View details →
zenodo40/100

Fig. 1 in Influence of environmental parameters on fish assemblage of a Neotropical river with a flood pulse regime, Central Brazil

Fig. 1. Study area located in the lower section of the Mortes River, Bananal floodplain, Central Brazil. The boldface numbers correspond to the stretches sampled.

opencc-by-4.0Sep 2009View details →
zenodo36/100

Supplementary Data for 'Eastern Australian estuaries will transition to tidal flood regimes in coming decades' by Hague, Thran, Jakob and Jones.

<p>Supplementary data to support Hague et al. (2024) Coastal Futures paper, Eastern Australian estuaries will transition to tidal flood regimes in coming decades.</p> <p>column 'UTC_DT' provides datetime information in UTC in format YYYY-MM-DD hh:mm:ss</p> <p>column 'sea_lvl' provides quality assured water level as described in Hague et al. (2024)</p> <p>column 'sea_lvl'_pred' provides estimate of tidal contribution to water level as described in Hague et al. (2024)</p> <p>&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Fig. 1 in Effects of flood regime on the diet of Triportheus curtus (Garman, 1890) in an Amazonian floodplain lake

Fig. 1. Location of Lake Amapá and sampling points P1, P2, and P3.

opencc-by-4.0Sep 2011View details →
dryad32/100

Data from: Quantifying flooding regime in floodplain forests to guide river restoration

Determining the flooding regime needed to support distinctive floodplain forests is essential for effective river conservation under the ubiquitous human alteration of river flows characteristic of the Anthropocene Era. At over 100 sites throughout the Connecticut River basin, the largest river system in New England, we characterized species composition, valley and channel morphology, and hydrologic regime to define conditions promoting distinct floodplain forest assemblages. Species assemblages were dominated by floodplain-associated trees on surfaces experiencing flood durations between 4.5 and 91 days/year, which were generally well below the stage of the two-year recurrence interval flood, a widely-used benchmark for floodplain restoration. These tree species rarely occurred on surfaces that flooded less than 1 day/year. By contrast abundance of most woody invasive species decreased with flooding. Such flood-prone surfaces were jointly determined by characteristics of the hydrograph (high discharges of long duration) and topography (low gradient and reduced valley constraint), resulting in increased availability of floodplain habitat with increasing watershed area and/or decreasing stream gradient. Downstream mainstem reaches provided the most floodplain habitat, largely associated with low-energy features such as back swamps and point bars, and were dominated by silver maple (Acer saccharinum). However, we were able to identify a number of suitable sites in the upper part of the basin and in large tributaries, often associated with in-channel islands and bars and frequently dominated by sycamore (Platanus occidentalis) and flood disturbance-dependent species. Our results imply that restoring flows by modifying dam operations to benefit floodplain forests on existing surfaces need not conflict with flood protection in some regional settings. These results underscore the need to understand how flow, geomorphology, and species traits interact to produce characteristic patterns of floodplain vegetation, and that these interactions should form the basis of effective river restoration and conservation.

opencc-zeroDec 2013View details →
dryad32/100

Data from: Quantifying flooding regime in floodplain forests to guide river restoration

Open the record for dataset details and reuse information.

publicAug 2015View details →
zenodo28/100

Fig. 3 in Effects of flood regime on the diet of Triportheus curtus (Garman, 1890) in an Amazonian floodplain lake

Fig. 3. Scores derived from Detrended Correspondence Analysis (DCA), considering the seasonal ordination of Triportheus curtus in the periods of the hydrological cycle of Lake Amapá.

opencc-by-4.0Sep 2011View details →
zenodo28/100

Fig. 4 in Effects of flood regime on the diet of Triportheus curtus (Garman, 1890) in an Amazonian floodplain lake

Fig. 4. Mean values for scores (± standard error) for axes 1 (a) and 2 (b) of the detrended correspondence analysis (DCA), in the different sampling periods.

opencc-by-4.0Sep 2011View details →
zenodo28/100

Fig. 2 in Influence of environmental parameters on fish assemblage of a Neotropical river with a flood pulse regime, Central Brazil

Fig. 2. Ordination of the co-structure resulting from the co-inertia analysis between the fish assemblages and quantitative (a) and qualitative (b) environmental parameters (square arrow edge = stretch; circle = fish assemblage). Numbers represent the stretch sampled at low (L) or high (H) waters. Letter codes correspond to the main fish species that contributed to the costructure and are listed in Table 1. CD = channel depth; CW = channel width; DO = dissolved oxygen; ST = Secchi transparency; RS/S/L/R = river substrate/sand/leaves/roots; RVC/H = river vegetation cover/high; RVC/A/H = river vegetation cover absent/ high; RS/S/L = river substrate/sand/leaves; RVC/F = river vegetation cover/flooded. Boxes indicate scales.

opencc-by-4.0Sep 2009View details →

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Allen Brain Atlas

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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.

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Last verified 2026-04-29Open record

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.

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record