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21 results for “seasonal flooding”
Surface water and flooding dynamics data set based on seasonally continuous Landsat data (1986-2011) in a dryland river basin
<p>Animations of the data are available here: <a href="https://doi.org/10.5281/zenodo.2438110">https://doi.org/10.5281/zenodo.2438110</a></p> <p>If you are using this data set, please cite the following publication:</p> <p>Tulbure, M.G. and M. Broich (2018). Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data. Science of the Total Environment. https://www.sciencedirect.com/science/article/pii/S0048969718347466 </p> <p>The data represent statistically validated surface water and flooding extent dynamics derived from seasonally continous Landsat TM/ETM+ data and random forest models, and summarised to the maximum extent of surface water per season between 1986-2011 over Australia's Murray-Darling Basin. The overall accuracy was over 99% and producer's accuracy for water 87% +/- 3%. </p> <p>The method is described in the following publication: <br> Tulbure, M.G., M. Broich, S.V. Stehman, A. Kommareddy. (2016). Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region. Remote Sensing of Environment. 178: 142-157</p> <p>URL: https://www.sciencedirect.com/science/article/pii/S0034425716300621 </p> <p>Data are provided in GeoTIFF format per season per year. File naming convention is as follows:<br> yy_inund_freq_season_SamplingMethod. For example, "99_inund_freq_winter_max" will represent inundation frequency for winter 1999 resampled using a maximum resampling method. </p> <p>Inundation frequency represents the number of times a pixel has been flagged as flooded out of the times that pixel had valid observations * 100. Valid observation exclude no data values and clouds. The valid range of inundation frequency is 0-100 [%], with 255 indicating no data values. Data type is eight bit unsigned integer (uint8). </p> <p>The data were resampled to 120m resolution to reduce file size. The resampling methods used include max (e.g. selects the max value of all non-NODATA contributing 30m pixels) and mean (median and min can be provided upon request). If you are unsure which resampling to use, you may want to start with the mean. </p>
Surface water and flooding dynamics based on seasonally continuous Landsat data (1986-2011) in a dryland river basin (monthly, seasonally, and yearly animations)
<p>The animations provided here are part of the following publication:<br> Tulbure, M.G. and M. Broich (2018). Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data. Science of the Total Environment. https://www.sciencedirect.com/science/article/pii/S0048969718347466</p> <p>Please refer to the above mentioned publication for a description of the data and interpretation of the patterns.</p> <p>The animations are based on statistically validated surface water and flooding extent dynamics data derived from seasonally continous Landsat TM/ETM+ and random forest models from 1986 to 2011 over Australia's Murray-Darling Basin. The overall accuracy was over 99% and producer's accuracy for water 87% +/- 3%. </p> <p>The method is described in the following publication: <br> Tulbure, M.G., M. Broich, S.V. Stehman, A. Kommareddy. (2016). Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region. Remote Sensing of Environment. 178: 142-157 and available here: https://www.sciencedirect.com/science/article/pii/S0034425716300621 </p>
Growing Season D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
Process Controls on Flood Seasonality in Brazil - link to data and plots
<p>This data set and plots of circular histograms accompany the paper "Process Controls on Flood Seasonality in Brazil" at Geophysical Research Letters (<a href="https://doi.org/10.1029/2021GL096754">https://doi.org/10.1029/2021GL096754</a>). In this paper, we investigate the relationship between the seasonality of floods, maximum annual rainfall, and maximum annual soil moisture data of 886 basins in Brazil for 1980-2015 to shed light on process controls of flood generation.</p>
Final products from "3D MODELING AS A CONSERVATION TOOL TO CHARACTERIZE ENDANGERED SEASONALLY FLOODED ECOSYSTEMS IN THE VOLTA GRANDE DO XINGU, AMAZON FOREST, PARÁ, BRAZIL"
<p>In these .zip folders, you will find the products generated from flight missions carried out between November 7th to 14th, 2021, in the Volta Grande do Xingu, Pará, Brazil. <br>These results are presented as an integral part of the article titled '3D MODELING AS A CONSERVATION TOOL TO CHARACTERIZE ENDANGERED SEASONALLY FLOODED ECOSYSTEMS IN THE VOLTA GRANDE DO XINGU, AMAZON FOREST, PARÁ, BRAZIL' published on the doctoral thesis "Characterization and monitoring of the flooding dynamics and seasonally flooded environments of the Volta Grande do Xingu through remote sensing", available at <a href="https://doi.org/10.11606/T.106.2023.tde-02022024-211517">https://doi.org/10.11606/T.106.2023.tde-02022024-211517</a>. To understand the data processing methodology that led to these results, please refer to the thesis.<br>Each folder represents a flight mission. They are named by date and flight number (DD_MM_YYYY_FLIGHT#).<br>Within each folder, there are six files resulting from the processed flights: The georeferenced orthophoto and Digital Surface Model, which are raster files (.TIFs), the dense point cloud (.las), and the files composing the 3D Model generated by Agisoft Metashape (extensions .OBJ, .MTL, and .JPEG).<br>The .OBJ file is the primary file for visualizing the model, including the three-dimensional mesh formed by the points of the point cloud and containing geometry, texture, and color information. <br>The .MTL file contains the material description associated with the OBJ file and includes information about the visual properties of the model, such as texture, reflections, and materials. <br>The .JPEG files are the texture images used on the Digital Surface Model to generate the 3D model. This information provides the model with its realistic properties.<br>The .OBJ, .MTL and .JPEG files need to be together in the same folder for a complete 3D Model visualization (i.e., shape, color, and texture).<br>When using this data, please cite Affonso, A. A. (2023). <em>Caracterização e monitoramento da dinâmica de alagamento e dos ambientes sazonalmente alagáveis da Volta Grande do Xingu através de sensoriamento remoto</em>. Tese de Doutorado, Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo. doi:10.11606/T.106.2023.tde-02022024-211517. Recuperado em 2024-04-14, de www.teses.usp.br</p>
Deciphering the impacts of main inflowing rivers on dissolved organic matter in Lake Daye using isotopes, optical spectroscopy, and FT-ICR-MS during non-flood season
<p>The uploaded data include water quality data, isotopes, DOM fluorescence index and FT ICR MS data of Daye Lake and its inflowing rivers.</p>
Dataset for: Windows of opportunity for predicting seasonal climate extremes: Pakistan floods of 2022
<p>Data required to regenerate any of the figures in Nature Communications paper "Windows of opportunity for predicting seasonal climate extremes: Pakistan floods of 2022"</p>
Data from: Resource partitioning confirmed by isotopic signatures allows small mammals to share seasonally flooded meadows
Meadows in river deltas are characterized by a high diversity and abundance of small mammals. However, neither their spatial arrangement nor differences in their use of microhabitat can necessarily explain the dense co‐occurrence of sympatric species. We investigated how several small mammal species share a seasonally flooded meadow of limited size, testing predictions (P1) that herbivore, granivore, insectivore, and omnivore species are separated in time (dominant in different years), (P2) that sympatric species undergo isotopic partitioning, and (P3) that there are intraspecific differences in diet. Stable carbon and nitrogen isotope signatures in the hair of seven synantropic shrew, vole, and mice species were used as a proxy for their diet. We found that the three most abundant species in eight of the nine years were from different diet groups. However, based on the number of species in the functional groups, the state of small mammal community was considered unfavored in five out of the nine investigation years. In years with the greatest dominance of Apodemus agrarius, the small mammal community was characterized by decreased diversity and Micromys minutus was either in low abundance or absent. In 2014 and 2016, years of low abundance or absence of M. oeconomus, M. agrestis, and M. glareolus were both recorded in high numbers. Differences in the isotopic signatures of the three most abundant small mammal species in the community were clearly expressed and core areas in the isotopic space were separated, showing their dependence on different dietary resources. Intraspecific dietary separation between young and adult animals was observed only in M. oeconomus. Thus, the high species diversity of small mammals and the formation of their community in this investigated flooded meadow are maintained by isotopic partitioning (segregation in dietary space) and by changes in their number over time (shifting dominance).
Subspecies and Distribution. S. n. mgricollis Spix, 1823 — Brazilian Amazon, N Peru, and possibly SE Colombia, between the Rio Ica—Putumayo and the rios Solimoes-Amazonas and Napo, W as far the seasonally flooded forest varzea along the Tamboryacu. S. n. graellsiJiménez de la Espada, 1870 — S Colombia, NE Ecuador, and N Peru, S of the upper Rio Caqueta (W from the mouth of the Rio Yari) in Colombia, S to both sides of the upper Putumayo as far as the N (left) bank of the Rio Napo, extending E between the Napo and Putumayo as far as the seasonally flooded forest along the Tamboryacu. S. mn. hernandezi Hershkovitz, 1982 — S Colombia, Meta Department, between the rios Caqueta, Caguan, and Orteguaza and the base of the Cordillera Oriental to the Rio Guayabero. in Callitrichiade
Subspecies and Distribution. S. n. mgricollis Spix, 1823 — Brazilian Amazon, N Peru, and possibly SE Colombia, between the Rio Ica—Putumayo and the rios Solimoes-Amazonas and Napo, W as far the seasonally flooded forest varzea along the Tamboryacu. S. n. graellsiJiménez de la Espada, 1870 — S Colombia, NE Ecuador, and N Peru, S of the upper Rio Caqueta (W from the mouth of the Rio Yari) in Colombia, S to both sides of the upper Putumayo as far as the N (left) bank of the Rio Napo, extending E between the Napo and Putumayo as far as the seasonally flooded forest along the Tamboryacu. S. mn. hernandezi Hershkovitz, 1982 — S Colombia, Meta Department, between the rios Caqueta, Caguan, and Orteguaza and the base of the Cordillera Oriental to the Rio Guayabero.
Copernicus EMS flood activations delimitations (2012 - 2020) rasterised at 30m and aggregated per year and season
<p>This dataset was created as part of the <a href="https://opendatascience.eu/">Geo-harmonizer project</a>, with the scope of making open data easier to access. It contains all the flood activations mapped by the <a href="https://emergency.copernicus.eu/mapping/list-of-activations-rapid">Copernicus Emergency Rapid Mapping Service</a> between 2012 and 2020. To obtain these GeoTIFFs, the vector data packages from CEMS were individual downloaded, rasterized and mosaicked per year and season, resampled at 30-m and reprojected to <a href="https://epsg.io/3035">EPSG 3035: ETRS89-extended / LAEA Europe</a>. If no CEMS flood activation was identified in a specific year and season, the raster was not created. The rasters are provided as COG files, type=16Int, the flooded area pixels have value 100, nodata value is 255.</p> <p>To allow an easier and faster search through all 2012 - 2020 CEMS flood activations, we have prepared a point vector layer (geojson) containing one point for each flood activation area of interest with the following attributes attached: CEMS identification number <ems_id>, area of interest defined by CEMS <ems_aoi>, URL link to the CEMS activation <ems_link>, year of the event <year_start>, <year_end> , <season> and the name of the <geo_harmonizer_raster> where the 30m rasterised delimitations of the flooded areas of the corresponding flood activation can be found. </p> <p>For any additional questions regarding the data, please contact the author at codrina.ilie[at]terrasigna.com.</p> <p>The Copernicus Emergency Rapid Mapping Service data access policy is available <a href="https://emergency.copernicus.eu/mapping/sites/default/files/files/CopernicusEMS-Data_and_Dissemination_Policy.pdf">here</a>.</p>
Recent population differentiation in the habitat specialist Glossy Antshrike (Aves: Thamnophilidae) across Amazonian seasonally flooded forests: Complete matrix
<p>We assessed population structure and the spatio-temporal pattern of diversification in the Glossy Antshrike <i>Sakesphorus luctuosus</i> (Aves, Thamnophilidae) to understand the processes shaping the evolutionary history of Amazonian floodplains and address unresolved taxonomic controversies surrounding its species limits. By targeting ultraconserved elements (UCEs) from 32 specimens of <i>S. luctuosus</i>, we identified independent lineages and estimated their differentiation, divergence times and migration rates. We also estimated current and past demographic histories for each recovered lineage. We found evidence confirming that <i>S. luctuosus</i> consists of a single species, comprising at least four populations, with some highly admixed individuals and overall similar levels of migration between populations. We confirmed the differentiation of the Araguaia River basin population (<i>S. l.</i> <i>araguayae</i>), and gathered circumstantial evidence indicating that the taxon <i>S. hagmanni</i> may represent a highly introgressed population between 3 distinct phylogroups of <i>S. luctuosus</i>. Divergence time estimates between populations seem to be recent, occurring during the last 183 kya. Signs of population expansions were detected for populations attributed to subspecies <i>S. l. luctuosus</i>, but the <i>S. l. araguayae </i>population had probably maintained its effective size through time. Our results support<b> </b>that <i>S. luctuosus</i> has had a complex population history, resulting from a high dependence on southeastern "clear-water" habitats and their availability through time. Spatial and demographic expansions towards the western "white water" flooded forests might still be ongoing. Our study reinforces the view that isolation due to absence of suitable habitat has been an important driver of population differentiation within Amazonian flooded forests, but also that differences between <i>várzeas</i> ("white water" floodplains, mostly in southwestern Amazonia) and <i>igapós</i> ("clear- water" floodplains, especially located in the east) should be further explored as powerful drivers of micro-evolution.</p>
Recent population differentiation in the habitat specialist Glossy Antshrike (Aves: Thamnophilidae) across Amazonian seasonally flooded forests: Final SNPs dataset
<p>We assessed population structure and the spatio-temporal pattern of diversification in the Glossy Antshrike <i>Sakesphorus luctuosus</i> (Aves, Thamnophilidae) to understand the processes shaping the evolutionary history of Amazonian floodplains and address unresolved taxonomic controversies surrounding its species limits. By targeting ultraconserved elements (UCEs) from 32 specimens of <i>S. luctuosus</i>, we identified independent lineages and estimated their differentiation, divergence times and migration rates. We also estimated current and past demographic histories for each recovered lineage. We found evidence confirming that <i>S. luctuosus</i> consists of a single species, comprising at least four populations, with some highly admixed individuals and overall similar levels of migration between populations. We confirmed the differentiation of the Araguaia River basin population (<i>S. l.</i> <i>araguayae</i>), and gathered circumstantial evidence indicating that the taxon <i>S. hagmanni</i> may represent a highly introgressed population between 3 distinct phylogroups of <i>S. luctuosus</i>. Divergence time estimates between populations seem to be recent, occurring during the last 183 kya. Signs of population expansions were detected for populations attributed to subspecies <i>S. l. luctuosus</i>, but the <i>S. l. araguayae </i>population had probably maintained its effective size through time. Our results support<b> </b>that <i>S. luctuosus</i> has had a complex population history, resulting from a high dependence on southeastern "clear-water" habitats and their availability through time. Spatial and demographic expansions towards the western "white water" flooded forests might still be ongoing. Our study reinforces the view that isolation due to absence of suitable habitat has been an important driver of population differentiation within Amazonian flooded forests, but also that differences between <i>várzeas</i> ("white water" floodplains, mostly in southwestern Amazonia) and <i>igapós</i> ("clear- water" floodplains, especially located in the east) should be further explored as powerful drivers of micro-evolution.</p>
Spatiotemporal patterns and implications of changing seasonal flooding extents on wetland landscapes of a transboundary Chobe River Basin in Southern Africa
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Dataset to the article 'Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics'
<p>This repository contains model input files, and pre- and post-processing scripts for the research article:</p> <p>Janek Greskowiak, Stephan L. Seibert, Vincent E.A. Post, Gudrun Massmann (2023), Redox-zoning in high-energy subterranean estuaries as a function of storm floods, temperatures, seasonal groundwater recharge and morphodynamics, Estuarine, Coastal and Shelf Science, https://doi.org/10.1016/j.ecss.2023.108418</p> <p><br> Data:</p> <p>The folder Laserascannerdata_top_and_hydr_heads contains five cross-shore topography profiles of a high energy beach on Spiekeroog Island, Germany, including a python-script that assembles them to a daily times-series over one year and that calculates the tide-averaged hydraulic heads in the intertidal zone as detailed in Greskowiak and Massmann (2021), The impact of morphodynamics and storm floods on pore water flow and transport in the subterranean estuary, Hydrological Processes, 35:e14050, https://doi.org/10.1002/hyp.14050</p> <p><br> Model input:</p> <p>The file Dynamod_1_redox_basecase.zip contains a folder with the model input textfiles (SEAWAT and PHT3D) for the case that considers all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics.</p> <p>The files pht3d_ph.dat and pht3d_datab.dat are PHT3D model specific files defining the reacants and reactions, and have to be copied into the model folder before PHT3D is started.</p> <p><br> Run models:</p> <p>First the SEAWAT model needs to be run with the name file 'Dynamod_1_redox_basecase.nam'. This creates the mt3d link file 'mt3d_link.ftl'. After that, PHT3D has to be started with the name file 'pht3d.nam'</p> <p>Note that running the models will generate 22 Gybte output.</p> <p><br> Pre-processing:</p> <p>All model input files were generated with the python-script Dynamod_1_redox_basebase.py using Flopy, a python-based groundwater modelling user-interface:<br> https://www.usgs.gov/software/flopy-python-package-creating-running-and-post-processing-modflow-based-models</p> <p><br> Post-processing:</p> <p>For the figures 3,4 and S1, S2 in the paper, the corresponding python scripts are provided in this database. Note that with respect to Figures 5 and S3, only the results for the case with all dynamic influence factors (Figure S3_h) are being plotted.</p> <p> </p> <p>Other model output:<br> Animation_A1_Dynamod_redox.mp4 is a video animation showing the dynamic modelled salinity and temperature distribution, and redox zoning in the subterranean estuary all dynamic influence factors investigated in the paper, i.e., seasonal meteoric groundwater recharge, stormfloods, temperature-dependence of reaction rates and morphodynamics.</p>
Data from: Resource partitioning confirmed by isotopic signatures allows small mammals to share seasonally flooded meadows
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Recent population differentiation in the habitat specialist Glossy Antshrike (Aves: Thamnophilidae) across Amazonian seasonally flooded forests: Complete matrix
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Recent population differentiation in the habitat specialist Glossy Antshrike (Aves: Thamnophilidae) across Amazonian seasonally flooded forests: Final SNPs dataset
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Multivariate hazard assessment for nonstationary seasonal flood extremes considering climate change
<p>Processed streamflow data used to create the plots shown in the paper ("Multivariate hazard assessment for nonstationary seasonal flood extremes considering climate change" published on JGR_A) for reproducibility</p>
Data from: Seasonal flooding, topography, and organic debris interact to influence the emergence and distribution of seedlings in a tropical grassland
In seasonally flooded wetlands, natural disturbances such as flooding and associated organic debris deposition followed by a drawdown period provide various opportunities for plant species regeneration, which can promote plant community diversity across space and time. Specifically, regeneration may be influenced by the direct effect of flooding on seed dispersal and seedling emergence as well as the indirect effect of organic debris on seed trapping and germination. Our objective was to examine the influence of seasonal flooding, topography, and cover of organic debris on seedling distribution in seasonally flooded grassland of the Pantanal. We measured species richness and abundance of seedlings for three years at three topographic levels with variable coverage of organic debris at the end of the flood season, and during the dry season when there was no debris deposition. A total of 43 species were recorded with no difference in species richness between immediate post-flood and dry seasons. However, the abundance of some species was higher post-flood than during the dry period. The distribution of seedlings differed between topographic levels post-flood with the greatest seedling abundance and richness occurring at the medium level, followed by the high and finally the low level, this was due to the higher concentration of organic debris in the low-level. Our results indicate that areas with predictable annual floods promote the individual species adaptation for successful regeneration.
Data from: Tough fishing and severe seasonal food insecurity in Amazonian flooded forests
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.