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517 results for “Floodplain”
Data and code for the publication "Multi-method analysis of microplastic distribution by flood frequency and local topography in Rhine floodplains"
<p><strong>Background</strong></p> <p>The dataset contains data on soil properties and microplastic abundance in soil samples taken in the floodplains Langel-Merkenich, Poller Wiesen and Westhovener Aue (Cologne, Germany). They were analysed in the paper by M. Rolf, H. Laermanns, J. Horn, L. Kienzler, C. Pohl, G. Dierkes, S. Kernchen, C. Laforsch, M.G.J. Löder and C. Bogner, “Multi-method analysis of microplastic distribution by flood frequency and local topography in Rhine floodplains” <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.171927" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.171927</a>) published in Science of the Total Environment.</p>
Fig. 1 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 1. Map of lago Grande de Mancapuru.
Optimal Mowing Regime in Enhancing Biodiversity in Seasonal Floodplains along Engineered Channels, Survey data
<p>This is the survey dataset used in the publication " Optimal Mowing Regime in Enhancing Biodiversity in Seasonal Floodplains along Engineered Channels".</p>
Microbial diversity in streams draining proglacial floodplains
<p>This dataset contains X files: <br> <br> 16S rRNA data:</p> <ul> <li>16S_table.csv: Absolute abundance for each ASV. Absolute abundance were obtaines by using the relative abundance form read count and multiply it by the bacterial abundance measured through flowcytometer. ASV are rows and samples are columns. </li> <li>16S_Taxonomy.csv: The taxonomy obtained for each ASV. </li> <li>16S_Metadata.csv: Information on the samples ( Glacier, date, longitude, latitude, stream type,...) </li> </ul> <p>18S rRNA data: </p> <ul> <li>18S_otu_table.csv: Read count for each OTU. 18S ASVs were clustered into operational taxonomic units (OTUs) using a 97% identity threshold using the vsearch de novo clustering method implemented in qiime2.</li> <li>18S_Taxonomy_NEW.csv: The taxonomy obtained for each OTU, updated with SILVA update in October 2021. </li> <li>18S_Metadata: Information on the samples ( Glacier, date, longitude, latitude, stream type,...) </li> </ul> <p>Water physiochemical parameter </p> <ul> <li>water_data.csv : [DOC, Na<sup>+</sup>, Mg<sup>2+</sup>, K, Ca<sup>2+</sup>, Cl<sup>-</sup>, SO<sub>4</sub><sup>2-</sup>,NH<sub>3</sub>, NOx, PO<sub>4</sub>, NO<sub>2</sub>, SRP, Alkalinity] are in ppb (mg/L) <br> [Temp] (Temperature) is in °C<br> [Conductivity] is in uS/cm <br> [Turbidity] is in NTU <br> dD_H: water stable isotope of deuterium<br> d18_16: water stable isotope Oxygen </li> </ul> <p>Sediment biomass data</p> <ul> <li>Biomass_data.csv: <br> Chla (chlorophyll-a concentration) is in ug Chla / g of DM (dry mass) <br> Bacterial_abundance: Number of bacteria counted by flow cytometer <br> BCP: Bacterial carbon production is in ng C g<sup>-1</sup><sub>DM</sub> h<sup>-1</sup><br> EPS: Extracelluar Polymeric substance is in glucose-equivalent g<sup>-1</sup><sub>DM</sub></li> </ul> <p><sub>Co-occurnece Network anaylsis - all file are in a subfolder /Network</sub></p> <ul> <li>Raw files to be pre-process : <ul> <li>GFS_Fungi_links.csv, GFS_Fungi_nodes.csv, Trib_Fungi_links.csv, Trib_Fungi_nodes.csv</li> </ul> </li> <li>Pre-processed file used for plotting: <ul> <li>GFS_links_edit.csv, GFS_node_edit.csv, Trib_links_edit.csv, Trib_node_edit.csv,<br> </li> </ul> </li> </ul>
Freshwater floodplain habitats buffer native food webs from negative effects of non-native centrarchids and bullfrogs
<p>Species introductions are common in freshwater environments, with the potential to transform community and ecosystem structure. Predatory fishes and American bullfrogs (<em>Rana catesbeiana</em> = <em>Lithobates catesbeianus</em>) are both widespread aquatic invaders implicated in native amphibian declines. In lowland ecosystems, co-occurrence between native and non-native fishes and larval amphibians appears more common than in high-elevation ecosystems, though community interactions there are poorly studied. In this study, we used stable isotope analysis of carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) to examine native fish and amphibian trophic structure in lowland, floodplain waterbodies with and without non-native centrarchid fishes and bullfrogs. In the presence of non-native taxa, three-spine stickleback (<em><span>Gasterosteus aculeatus</span></em>), two native salamander larvae, and one of two native frog species shifted their food resources and/or fed lower on the food web, with only one species exhibiting a decline in niche size. The observed trophic shifts reflect changes in habitat and/or food resources, which may reduce competition or predation, and promote co-occurrence. Collectively, our study suggests that the co-occurrence of native and non-native amphibians and fishes in lowland, floodplain habitats may be facilitated by broad food resource availability and complex habitat structure.</p>
How riparian and floodplain restoration modify the effects of increasing temperature on adult salmon spawner abundance in the Chehalis, River, WA
<p>Model code (R) to accompany the manuscript "How riparian and floodplain restoration modify the effects of increasing temperature on adult salmon spawner abundance in the Chehalis River, WA", PLOS ONE.</p>
Binary (presence/absence) maps of phototrophic biofilms - Otemma floodplain, June 2020 - November 2020
<p>Maps of presence/absence of phototrophic biofilms - Otemma floodplain, June 2020 - November 2020</p> <p>Presence/Absence is binary, where 0 is "not biofilm" and 1 is "biofilm". <strong>Binary maps generated from probability maps using date-by-date logistic models of Roncoroni et al. (2022)</strong>.</p> <p>For further information see Roncoroni et al.(2022), <a href="http://dx.doi.org/10.1080/01431161.2022.2079963">http://dx.doi.org/10.1080/01431161.2022.2079963</a></p> <p>Details:</p> <ul> <li>Format: .ascii </li> <li>Name format: mmdd_Binary (where mm is the month, and dd the day)</li> <li>Coordinate system: CH1903+ LV95 (EPSG:2056)</li> <li>Spatial resolution: 0.05 m</li> </ul>
Modeling of the river-aquifer alluvial-floodplain interaction in the reach of the Duero River between Toro and Zamora
<p>MOHID and HEC-RAS models and results in river reach Toro-Zamora. The project consists of 3 folders and 1 Excell with the lamination results. The folders are: (1) MOHID models; (2) HEC-RAS models; (3) and graphical results. All files in the above mentioned folders have been separated into different parts named in consecutive order</p>
Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river
<p>The matlab data consists of 14 model runs (lab numbers in filenames), each for two timesteps in separate files, namely one for low river flow (ecological timestep 12, which is in month 6) and one for high river flow (ecological timestep 24, which is in month 12). The hydromorphological model is Delf3D, which is coupled to a riparian vegetation model 24 times per year for 150 years (some for 300 years). Each matlab file contains all variables stored by Delft3D and by the vegetation model. The most relevant variables are three-dimensional matrices containing the yearly maps. The various model runs are permutations on only sand, including mud (at various concentrations and erosion thresholds) and/or riparian vegetation.</p> <table> <caption>Table: Model runs with lab number, number in the publication, and keyworks describing the model</caption> <thead> <tr> <th scope="col">lab run number</th> <th scope="col">run number in Kleinhans et al. 2018</th> <th scope="col">properties</th> </tr> </thead> <tbody> <tr> <td>153</td> <td>4</td> <td>only sand</td> </tr> <tr> <td>149</td> <td>3</td> <td>mud added default concentration default erosion threshold</td> </tr> <tr> <td>131</td> <td>2</td> <td>vegetation added</td> </tr> <tr> <td>132</td> <td>1</td> <td>mud and vegetation</td> </tr> <tr> <td>139</td> <td>5</td> <td>5 mg/L mud</td> </tr> <tr> <td>140</td> <td>6</td> <td>50 mg/L</td> </tr> <tr> <td>141</td> <td>7</td> <td>100 mg/L</td> </tr> <tr> <td>162</td> <td>8</td> <td>500 mg/L</td> </tr> <tr> <td>144</td> <td>9</td> <td>0.1 N/m2 critical shear stress</td> </tr> <tr> <td>145</td> <td>10</td> <td>0.5 N/m2</td> </tr> <tr> <td>161</td> <td>12</td> <td>500 mg/L 0.5 N/m2 vegetation</td> </tr> <tr> <td>160</td> <td>14</td> <td>500 mg/L 0.5 N/m2</td> </tr> <tr> <td>158</td> <td>13</td> <td>800 mg/L 0.5 N/m2 vegetation</td> </tr> <tr> <td>159</td> <td>11</td> <td>100 mg/L 0.5 N/m2 vegetation</td> </tr> </tbody> </table> <p>The open access paper describing the data and its method of production is:<br> Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river</p> <p>Maarten G. Kleinhans, Bente de Vries, Lisanne Braat, Mijke van Oorschot<br> Earth Surf. Process. Landforms 43(14), 2018<br> <a href="https://doi.org/10.1002/esp.4437">https://doi.org/10.1002/esp.4437</a></p> <p>The modelling was conducted by Bente de Vries under supervision of Maarten Kleinhans as part of her MSc thesis research, which was embedded in the ERC Consolidator project of Kleinhans.</p>
Population dynamics of Amazonian floodplain forest species support spatial variation on genetic diversity but not range expansions through time
<p><strong>Aim: </strong>We tested if historical demographic changes of populations occurring on the floodplains of a major Amazon Basin tributary could be associated with range expansions from upper and middle sections of the river, following the establishment of widespread river-created environments during the Late Pleistocene and Holocene.</p> <p><strong>Location: </strong>Solimões River, Western Amazon, South America.</p> <p><strong>Taxon: </strong><em>Myrmoborus lugubris</em>, <em>Thamnophilus cryptoleucus</em> and <em>Myrmotherula assimilis</em>.</p> <p><strong>Methods:</strong> We explored spatial patterns of genetic diversity and connectivity among sampled localities using thousands of Ultra-Conserved Elements. Range expansions were tested with alternative methods. We quantified habitat preference for the analyzed species to test whether the occupation of dynamic habitats could predict spatial patterns of genetic diversity.</p> <p><strong>Results: </strong>Our study did not support shared population range expansions related to historical regionalized changes in habitat availability. We found considerable variation in the spatial distribution of the genetic diversity between studied taxa, and that species with higher levels of specialization to dynamic environments have a more heterogeneous distribution of genetic diversity and reduced levels of gene flow across space.</p> <p><strong>Main conclusions:</strong> Our results suggest that demographic expansions along the Solimões River might be linked to spatially homogeneous oscillation in the distribution of floodplain environments, promoting effective population size changes but not range expansion. We found that habitat specificity might be a good predictor of population connectivity along the Amazonian floodplains.</p>
Data from: Environmental filtering of macroinvertebrate traits influences ecosystem functioning in a large river floodplain
<p>The Biodiversity-Ecosystem Function hypothesis postulates that higher biodiversity is correlated with faster ecosystem process rates and increased ecosystem stability in fluctuating environments. Exhibiting high spatio-temporal habitat diversity, floodplains are highly productive ecosystems, supporting communities that are naturally resilient and highly diverse. </p> <p>We examined linkages among floodplain wetland habitats, invertebrate communities and their associated traits, and ecosystem function across 60 sites within the floodplain wetlands of the lower Wolastoq | Saint John River, New Brunswick, using structural equation modelling and Threshold Indicator Taxa ANalysis (TITAN2). </p> <p>We identified key environmental filters structuring invertebrate communities, by linking increased niche differentiation through shoreline change, flood pulse dynamics, and macrophyte bed complexity with increased taxa and functional diversity. </p> <p>Examination of traits linked to ecosystem functions revealed that more resilient wetlands with balance between primary productivity and decomposition as carbon sources were associated with greater functional evenness and richness, while habitat patches with elevated decomposition rates had lower functional richness, reflecting a simplified, more disturbed habitat. </p> <p>While our more complex overarching SEM model was ultimately compromised by an overspecified number of pathways, our results nevertheless are indicative of a divergence between wetland and riverine ecosystems in their relationships linking biodiversity and ecosystem function, illustrating how to define ecosystem health in wetland habitats, and demonstrating how critical functions support healthy wetland habitats by providing increased resilience to disturbance.</p>
Figure 1 in Birds of the Pantanal floodplains, Brazil: historical data, diversity, and conservation
Figure 1. Localities with ornithological inventories in Pantanal wetland.The circles correspond to different sample sites, whose geographic coordinates can be found in Table S1. The dark gray spots correspond to burned areas in 2020 fire gray spots correspond to burned areas in 2020 fire according to ALARMES-HISTÓRICO (LASA/ UFRJ, 2021; Pinto et al., 2020).
Formation of meandering streams in a young floodplain within the Yarlung Tsangpo Grand Canyon in the Tibetan Plateau
<p>For submission to the Journal of Geophysical Research Letters, the accompanying dataset comprises seven Excel sheets that encapsulate comprehensive measurements and observations of two meandering streams within the Cuoka floodplain, located in the Yarlung Tsangpo Grand Canyon. The specific contents of each sheet are as follows:</p> <ol> <li> <p><strong>Width</strong>: This sheet documents the varying widths of the main and tributary streams throughout different segments of the Cuoka floodplain.</p> </li> <li> <p><strong>Meander Center Coordinate at 46R</strong>: Contains the GPS coordinates for the center points of meander bends at the designated 46R marker, providing spatial data essential for geomorphological analysis.</p> </li> <li> <p><strong>Geometric Data</strong>: Includes detailed geometric parameters such as meander wavelength, amplitude, and radius of curvature, which are critical for understanding the morphodynamic characteristics of the streams.</p> </li> <li> <p><strong>Migration of Main and Tributary Streams</strong>: Tracks the lateral migration rates and patterns of both streams, offering insights into the dynamic processes shaping the floodplain over time.</p> </li> <li> <p><strong>Elevation from the Water Source</strong>: Presents elevation data from the origin of the streams to their current endpoints, aiding in the analysis of gradient-driven sediment transport and deposition mechanisms.</p> </li> </ol> <p>This dataset serves as a fundamental resource for elucidating the formative and evolutionary processes of meandering streams in a geologically unique setting, contributing to broader discussions on fluvial dynamics and landscape development.</p>
Data and Script used in "Effects of canopy gaps on microclimate, soil biological activity and their relationship in a European mixed floodplain forest"
<p>The R code and data provided in this repository allow to reproduce the data carpentry, analysis and visualization of “Effects of canopy gaps on microclimate, soil biological activity and their relationship in a European mixed floodplain forest” (https://doi.org/10.1016/j.scitotenv.2024.173572).</p> <p> </p> <p>Folder structure</p> <p> </p> <p>Data abstracts:</p> <p>Data_abstract_climate.pdf</p> <p>Data_abstract_soil_biotics.pdf</p> <p>Data_abstract_soil_abiotics_openness.pdf</p> <p> </p> <p>Data:</p> <p>Climate_data.xlsx</p> <p>Soil_biotics.xlsx</p> <p>Soil_abiotics_openness.xlsx</p> <p> </p> <p>R Scripts:</p> <p>00-preamble.R loads all required packages</p> <p>01-data-carpentry.R loads all datasets and prepares the analysis of all experimental periods.</p> <p>02-data-analyses-microclimate.R compares understorey air and soil microclimate between forest types and treatments, presents diurnal and seasonal variations and tests the relationship of under- and overstorey openness on microclimate.</p> <p>03-data-analyses-decomposition.R compares decomposition rates and feeding activity between forest types and treatments and models the dependencies of soil biological activity on microclimate and soil abiotic factors.</p> <p> </p> <p>Information of related software and package versions used in the script:<br>R version 4.3.2 (2023-10-31 ucrt)<br>Platform: x86_64-w64-mingw32/x64 (64-bit)<br>Running under: Windows 10 x64 (build 19045)<br>Matrix products: default</p> <p> </p> <p>Contact</p> <p>Please contact me at annalena.lenk@uni-leipzig.de if you have further questions.</p>
Fig. 2 in Pools and rapids as spawning and nursery areas for fish in a river stretch without floodplains
Fig. 2. Light trap used to capture the ichthyoplankton.
Supporting dataset for: "Floodplain Backwater Effect on Overtopping Induced Fluvial Dike Failure" (DOI: https://doi.org/10.1029/2017WR022492)
<p>Supporting data for:</p> <p>Rifai, I., El Kadi Abderrezzak, K., Erpicum, S., Archambeau, P., Violeau, D., Pirotton, M., & Dewals, B. (2018). Floodplain backwater effect on overtopping induced fluvial dike failure. Water Resources Research, 54. DOI:10.1029/2017WR022492.</p> <p> </p> <p>Included in this repository the data used in:</p> <p> - Figure 2 : Longitudinal profiles at dike crest for Tests 3 and 14<br> - Figure 3 : Elevations of 3D reconstructions of dike breaching for Tests 2, 5, and 14<br> - Figure 4 : Selected longitudinal profiles of Tests 14, 2, 3, and 5<br> - Figure 5 : Time series of water levels, breach discharges, breach widths, and channel Froude numbers for Tests 14, 1, 2, 4, and 5<br> - Figure 6 : Elevations of final 3D reconstructions of dikes for Tests 14, 1, 2, 4, and 5<br> - Figure 7 : Time series of the breach widening and deepening.</p>
GIS data - Model potenciálních rozlivových zón na území ČR | GIS data - Model of Potential Floodplains in the Czech Republic
<p>GeoTIFF layer (8 x 8 m) containing a model of potential floodplains of watercourses in the landscape of the Czech Republic. Based on watercourse network model (see http://doi.org/10.13140/RG.2.2.19409.48489). For a detailed description of layers, see http://doi.org/10.5281/zenodo.3367296</p>
Compilation of data used to implement floodplain DEM algorithm in the Logone Floodplain
<p>This document describes the dataset that was used in the article submitted to Geophysical Research Letters by Shastry and Durand entitled "Water Surface Elevation Constraints in a Data Assimilation Scheme to Infer Floodplain Topography: A Case Study in the Logone Floodplain". The dataset is distributed as a NetCDF file containing the Digital Elevation Models at different stages of the algorithm described in the article, and a set of excel files describing the location coordinates of flood boundaries used in the study.</p> <p><strong>Description of Files</strong></p> <p><strong>Excel files</strong><br> Each excel file provides the location coordinates of flood boundaries on a particular day; the date is mentioned in the file name as YYYYMMDD. Each Sheet is each excel file corresponds to a unique flooded region on the particular day. The first column corresponds to Northing and the second Easting. The coordinates are in the WGS 1984 UTM Zone 33 N coordinate system. </p> <p><strong>NetCDF file</strong><br> This file contains Digital Elevation Models (DEMs) at various stages of the algorithm. The various stages are described below.<br> 1. The Prior DEM: Multi-Error-Removed Improved-Terrain (MERIT) DEM (Yamazaki et al., 2017; http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/) of the Logone Floodplain in Cameroon upscaled to 500 m.<br> 2. Ensemble of particle DEMs: Spatially correlated errors added to the prior DEM to produce an ensemble of 50 particles.<br> 3. Channel smoothed ensemble of particles: The elevations of the river network smoothed in the ensemble of particles in 2.<br> 4. Flood boundary smoothed ensemble of particles: The elevations along flood boundaries provided in the excel files smoothed in the ensemble mentioned in 3.<br> 5. Water surface constrained ensemble: A water surface constraint is applied to the ensemble in 4 to produce the ensemble that goes into the particle batch smoother described in the article.</p> <p><strong>Reference:</strong></p> <p>Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O’Loughlin, F., Neal, J. C., Bates, P. D. (2017). A high-accuracy map of global terrain elevations. <em>Geophysical Research Letters</em>, 44 (11), 5844–5853. doi: 10.1002/2017GL072874</p>
Text-fig. 1 Map of the area surrounding Bohutín and the Litavka River. PA – locality. www.mapy.cz in Reconstruction Of Vegetation Development On The Floodplain Of The Litavka River In The Holocene (Central Bohemia, Brdy Mts.)
Text-fig. 1 Map of the area surrounding Bohutín and the Litavka River. PA – locality. www.mapy.cz
Table 1 in Pseudofilamentous desmids (Zygnematophyceae) from an Amazonian floodplain lake (Macapá, AP, Brazil)
<p><b>Table 1.</b> Seasonal occurrence of pseudofilamentous desmids at Curralinho Lake (FR: relative frequency; F: frequent; LC: less common; R: rare; BP: both periods, rainy and less rainy; RP: rainy period.</p><table><tbody><tr><th><b>Taxon</b></th><th><b>F.R. (%)</b></th><th><b>Category</b></th><th><b>Seasonal occurrence</b></th></tr></tbody><tbody><tr><th><i>Bambusina borreri</i> var. <i>borreri</i></th><td>58,33</td><td>F</td><td>BP</td></tr><tr><th><i>B. borreri</i> var. <i>brasiliense</i></th><td>50</td><td>F</td><td>BP</td></tr><tr><th><i>B. borreri</i> var. <i>majus</i></th><td>50</td><td>F</td><td>BP</td></tr><tr><th><i>Desmidium baileyi</i> var. <i>baileyi</i> f. <i>baileyi</i></th><td>33.33</td><td>LC</td><td>RP</td></tr><tr><th><i>D. elegans</i></th><td>50</td><td>F</td><td>BP</td></tr><tr><th><i>D. graciliceps</i> var. <i>graciliceps</i></th><td>16.66</td><td>LC</td><td>BP</td></tr><tr><th><i>D. graciliceps</i> var. <i>groenbladii</i></th><td>25</td><td>LC</td><td>BP</td></tr><tr><th><i>D. longatum</i></th><td>33.33</td><td>LC</td><td>BP</td></tr><tr><th><i>D. quadratum</i> var. <i>quadratum</i></th><td>16.66</td><td>LC</td><td>RP</td></tr><tr><th><i>D. quadratum</i> var. <i>constrictum</i></th><td>16.66</td><td>LC</td><td>RP</td></tr><tr><th><i>Groenbladia neglecta</i> var. <i>neglecta</i></th><td>58.33</td><td>F</td><td>BP</td></tr><tr><th><i>G. neglecta</i> var. <i>elongata</i></th><td>58.33</td><td>F</td><td>BP</td></tr><tr><th><i>Haplozyga armata</i> var. <i>armata</i></th><td>41.66</td><td>F</td><td>RP</td></tr><tr><th><i>Hyalotheca dissiliens</i> var. <i>dissiliens</i></th><td>41.66</td><td>F</td><td>BP</td></tr><tr><th><i>H. javanica</i></th><td>58.33</td><td>F</td><td>BP</td></tr><tr><th><i>Mateola curvata</i></th><td>8.33</td><td>R</td><td>RP</td></tr><tr><th><i>Phymatodocis nordstedtiniana</i> var. <i>nordstedtiniana</i> f. <i>minor</i></th><td>25</td><td>LC</td><td>BP</td></tr><tr><th><i>Spondylosium desmidiiforme</i></th><td>8.33</td><td>R</td><td>RP</td></tr><tr><th><i>S. pulchrum</i> var. <i>pulchrum</i></th><td>16.66</td><td>LC</td><td>BP</td></tr><tr><th><i>S. rectangulare</i> var. <i>rectangulare</i></th><td>41.66</td><td>F</td><td>BP</td></tr><tr><th><i>S. rectangulare</i> var. <i>goyazense</i></th><td>25</td><td>LC</td><td>BP</td></tr></tbody></table>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.