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517 results for “Floodplain”
Fig. 4 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year
Fig. 4. DCA ordination of sample sites by month in connected [February (), May (), November ()] and disconnected lagoons [, May (), August (), November ()]. Arrows indicate the direction of influence of species in the ordination.
Fig. 2 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year
Fig. 2. Daily variation of pluviometric (a) and hydrometric levels (c) of the Paraná River in 2000, measured at Porto São José municipality, and difference between mean monthly pluviometric (b) and hydrometric levels (d) in 2000 (x) and the last 10 1 years (x). Data supplied by DNAEE (Departamento Nacional de Águas e Energia Elétrica). Dashed line indicates water level 2 required for initial inundation of the floodplain (Veríssimo, 1994).
Fig. 1 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year
Fig. 1. Study area with location of sampling sites in connected (1-6) and disconnected lagoons (7-15): 1 (Leopoldo),
Fig. 1 in Movement of Cichla species (Cichlidae) in a Venezuelan floodplain river
Fig. 1. Map of Venezuelan rivers with arrow depicting location of the Cinaruco River in the Orinoco River drainage. Dashed arrows illustrate movements of individuals recaptured more than 750 m from their tagging location. Flow is in the direction of the arrow at bottom right.
Fig. 3 in Movement of Cichla species (Cichlidae) in a Venezuelan floodplain river
Fig. 3. Frequency histograms of distance between tag and recapture locations by (a) species and (b) size class (weight) at time of recapture. Note: distance range is not standardized for the first two categories to illustrate localized movement.
Fig. 2 in Movement of Cichla species (Cichlidae) in a Venezuelan floodplain river
Fig. 2. Annual water level fluctuation of the Cinaruco River during 1999 (modified from Arrington & Winemiller, 2003).
Dataset for the paper "Data for Distribution of Vascular Plants (Tracheophytes) of urban forests and floodplains in the Tyumen city (Western Siberia)"
<p>Dataset associated with the manuscript “Data for Distribution of Vascular Plants (Tracheophytes) of urban forests and floodplains in the Tyumen city (Western Siberia)” submitted to the journal Data.</p>
Data for: Landscape features affect caiman body condition in the middle Araguaia river floodplain
<p>Landscape modifications often undermine habitat suitability for species' persistence, with initial effects observed through physiological responses of individuals and populations. However, some landscape features can allow tolerant wildlife species to persist in human-modified landscapes, but they are still overlooked. Across distinct agricultural landscapes, we assessed landscape features affecting the body condition (estimate through scaled mass index - SMI) of <em>Caiman crocodilus</em> (Crocodylia, Alligatoridae) in human-modified landscapes of the Araguaia floodplain, central Brazil. We used a spatial Bayesian model averaging approach to determine the effects of landscape attributes, ectoparasites, tail damage, and severe body injuries on caiman body condition. We found that caimans had higher SMI in anthropogenic (ditches and artificial ponds) than natural habitats (lakes or rivers). Overall, caiman SMI was negatively associated with wetland cohesion (an aggregation and connectivity metric). Otherwise, landscape composition did not influence caiman SMI. Further, ectoparasites and body injuries did not affect SMI, whereas tail damage negatively affected SMI. Our findings underscore that caiman populations can adapt to artificial wetlands and irrigated rice fields, provided they incorporate natural and semi-natural habitat patches that enhance environmental heterogeneity, prey availability, and waterbody availability and connectivity.</p>
Figs 1–2 in The population structure of Leptoiulus proximus (Nĕmec, 1896) (Diplopoda, Julidae) in floodplain forests after summer flooding
Figs 1–2. Changes in abundance of individual stadia in the population of L. proximus. 1. Changes in epigeic activity (numbers of individuals per 18 pitfall traps) at four-week intervals over the four years after flooding. 2. Changes in density (individuals/m2) at four-week intervals over the four years after flooding (animals extracted from soil samples by Tullgren funnels).
Strategic Siting, Design and Operation of Dams minimizes Impacts on Seasonal Floodplain Inundation
<p>Repository of data files for the paper "Strategic Siting, Design and Operation of Dams minimizes Impacts on Seasonal Floodplain Inundation" submitted to Environmental Research Letters. </p>
Satellite derived floodplains (GFD ) combined with spatially- explicit socio-economic data and DFO impacts
<p>These data is linked to the paper </p> <p><strong>Limited progress in global reduction of vulnerability to flood impacts over the past two decades</strong></p> <p><strong>Inga J. Sauer¹ ², Benedikt Mester¹ ³, Katja Frieler¹, Sandra Zimmermann1, Jacob Schewe¹, and Christian Otto¹</strong></p> <p><strong>¹ Potsdam Institute for Climate Impact Research, Potsdam, Germany </strong></p> <p><strong>² Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland</strong></p> <p><strong>³ Institute of Environmental Science and Geography, Potsdam University, Potsdam, Germany</strong></p> <p><span>DOI: 10.1038/s43247-024-01401-y</span></p> <p>It combines the satellite observed flooded areas from the <strong>global flood database (GFD) </strong>with socio-economic and infrastructure data and the socio-economic impacts recorded in the <strong>Global Active Archive of Large Flood Events provided by the Dartmouth Flood Observatory (DFO).</strong></p>
Рис. 8–13. ΔанΑшафты Южного УраΛа (8–11) и Русской равнины (12–13). 8 – разнотравная степь у поΑножия горы ВербΛюжка, местообитание Cionus rossicus; 9 – ксерофитные Λуга в пойме реки УраΛ вбΛизи горы ВербΛюжка, местообитание Cionus rossicus; 10 – южные степи в районе КзыΛаΑырского карстового поΛя, местообитание Cionus gebleri; 11 – степи низкогорий Южного УраΛа бΛиз с. КиΑрясово, местообитание Smicronyx albopictus; 12 – КаменноброΑские меΛовые горы на юго-запаΑе ПривоΛжской возвышенности, местообитание Mecinus janthiniformis, Smicronyx robustus и S. albopictus; 13 – меΛовой останец КобыΛья ГоΛова в прироΑном парке «Àонской», местообитание Mecinus janthiniformis. Figs 8–13. Landscapes of the Southern Urals (8–11) and the Russian Plain (12–13). 8 – forb steppe at the down of Verblyuzhka Mt., habitat of Cionus rossicus; 9 – xerophytic meadows in the floodplain of the Ural River near Verblyuzhka Mt., habitat of Cionus rossicus; 10 – southern steppes in the Kzyladyr karst area, habitat of Cionus gebleri; 11 – steppes of the low mountains of the Southern Urals near Kidryasovo village, habitat of Smicronyx albopictus; 12 – Kamennobrodsky chalk mountains in the southwest of the Volga Upland, habitat of Mecinus janthiniformis, Smicronyx robustus, and S. albopictus; 13 – Cretaceous outlier Kobyl'ya Golova in the Donskoy Nature Park, habitat of Mecinus janthiniformis. in Interesting records of weevils (Coleoptera: Curculionidae: Curculioninae) in the steppe zone of the European part of Russia and the Urals
Рис. 8–13. ΔанΑшафты Южного УраΛа (8–11) и Русской равнины (12–13). 8 – разнотравная степь у поΑножия горы ВербΛюжка, местообитание Cionus rossicus; 9 – ксерофитные Λуга в пойме реки УраΛ вбΛизи горы ВербΛюжка, местообитание Cionus rossicus; 10 – южные степи в районе КзыΛаΑырского карстового поΛя, местообитание Cionus gebleri; 11 – степи низкогорий Южного УраΛа бΛиз с. КиΑрясово, местообитание Smicronyx albopictus; 12 – КаменноброΑские меΛовые горы на юго-запаΑе ПривоΛжской возвышенности, местообитание Mecinus janthiniformis, Smicronyx robustus и S. albopictus; 13 – меΛовой останец КобыΛья ГоΛова в прироΑном парке «Àонской», местообитание Mecinus janthiniformis. Figs 8–13. Landscapes of the Southern Urals (8–11) and the Russian Plain (12–13). 8 – forb steppe at the down of Verblyuzhka Mt., habitat of Cionus rossicus; 9 – xerophytic meadows in the floodplain of the Ural River near Verblyuzhka Mt., habitat of Cionus rossicus; 10 – southern steppes in the Kzyladyr karst area, habitat of Cionus gebleri; 11 – steppes of the low mountains of the Southern Urals near Kidryasovo village, habitat of Smicronyx albopictus; 12 – Kamennobrodsky chalk mountains in the southwest of the Volga Upland, habitat of Mecinus janthiniformis, Smicronyx robustus, and S. albopictus; 13 – Cretaceous outlier Kobyl'ya Golova in the Donskoy Nature Park, habitat of Mecinus janthiniformis.
Data and code for the publication "Flooding frequency and floodplain topography determine abundance of microplastics in an alluvial Rhine soil"
<p><strong>Background</strong></p> <p>The dataset contains data on soil properties and microplastic abundance in soil samples taken in Langel-Merkenich (Cologne, Germany). It was analysed in the paper by M. Rolf, H. Laermanns, L. Kienzler, C. Pohl, J.N. Möller, C. Laforsch, M.G.J. Löder and C. Bogner, “Flooding frequency and floodplain topography determine abundance of microplastics in an alluvial Rhine soil” <a href="https://doi.org/10.1016/j.scitotenv.2022.155141">https://doi.org/10.1016/j.scitotenv.2022.155141</a>) published in Science of the Total Environment.</p> <p> </p> <p><strong>Description of the dataset</strong></p> <p>The zipped folder</p> <ul> <li><strong>data.zip</strong> contains subfolders <strong>imagelab_data</strong> (contains microplastics data by depth and the blanks), <strong>additional_data</strong> (weights of aliquots and polymer densities) and <strong>soil_data</strong> (data on soil properties and images of soil profiles).</li> <li><strong>images.zip</strong> contains the workflow diagram, which is plotted in the R notebook Data_read_in.Rmd.</li> <li><strong>results.zip</strong> contains the results of reading and wrangling of microplastics data.</li> </ul> <p> </p> <p><strong>Description of the code</strong></p> <p>The R notebooks *.Rmd contain the code to read and wrangle the microplastics data (Data_read_in_corrected.Rmd), analyse and plot it (Analysis_plots_MP.Rmd) and plot data on soil properties (Plots_soil_data.Rmd).</p> <p> </p> <p><strong>Disclaimer</strong></p> <p>The data and code are provided as is without any warranty.</p> <p> </p> <p><strong>Funding</strong></p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.</p> <p> </p> <p><strong>References</strong></p> <p>M. Rolf, H. Laermanns, L. Kienzler, C. Pohl, J.N. Möller, C. Laforsch, M.G.J. Löder and C. Bogner, “Flooding frequency and floodplain topography determine abundance of microplastics in an alluvial Rhine soil” <a href="https://doi.org/10.1016/j.scitotenv.2022.155141">https://doi.org/10.1016/j.scitotenv.2022.155141</a></p> <p>R Core Team, 2021, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, https://www.R-project.org/</p>
Data from: Determinants of tree cover in tropical floodplains
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Data for: Landscape features affect caiman body condition in the middle Araguaia river floodplain
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Data from: Drift happens: molecular genetic diversity and differentiation among populations of jewelweed (Impatiens capensis Meerb.) reflect fragmentation of floodplain forests
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Data for: Channel mobility and floodplain reworking across river planform morphologies
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Biomass from six vegetation types along a toposequence on a floodplain terrace of the Sagavanirktok River, Alaswka,1988, Arctic LTER.
Biomass was harvested from six vegetation types along a toposequence on a floodplain terrace of the Sagavanirktok River in the northern foothills of the Brooks Range , Alaska (68degrees 46' N, 148 degrees 51' W 50m). The vegetation sites are; upland tussock tundra, "hilltop heath", a "hillslope shrub-lupine", a "footslope Equisetum", a wet sedge tundra, and a "riverside willow".
Plant available NH4, NO3, and PO4 was determined at sites near ARC LTER Toolik acidic tundra and at a toposequence along the floodplain of the Sagavanirktuk River using 2 N KCL and weak HCL extracts, Arctic LTER 1987 to 2002
Plant available NH4, NO3, and PO4 was determined at sites near ARC LTER Toolik acidic tundra and at a toposequence along the floodplain of the Sagavanirktuk River using 2 N KCL and weak HCL extracts. This file complies data collected at different times from 1987 through 2001 and includes initial extracts taken for buried bag method of net nitrogen mineralization.
Soil Ammonium and Nitrate rates in and out of the Moose Exclosures on the Tanana River Floodplain , Fall 2001
Soil ammonium and nitrate rates were sampled both inside and out of the moose exclosures located on the Tanana River Floodplain. Samples were collected in the fall of 2001.
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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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.