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676 results for “hydrologic”
How hydrology and landscape shape Odonata assemblages in marshlands crossed by ditches
<p><span>One of the major current ecological challenges is to understand how to reconcile human activities with biodiversity conservation concerns. This issue is particularly relevant in freshwater ecosystems where biodiversity is globally under severe threat. Artificial waterbodies, such as ditch networks, are part of the few remaining wetlands in agricultural landscapes and hence play a crucial role in maintaining aquatic biodiversity in these landscapes.</span></p> <p><span>We investigated the responses of adult Odonata assemblages at different spatial scales in a marshland crossed by ditches to two factors expected to be pivotal influences on assemblages. At the local scale, this was mainly the water regime in ditches and, at a broader scale, the composition of the landscape. Both taxonomic alpha and beta diversity, and functional trait composition were considered as response variables.</span></p> <p><span>Significant differences were found between the responses of the two Odonata suborders. We showed that Zygoptera species richness decreased and species turnover increased with the duration of drying episodes in ditches. Geographical distances between local assemblages as well as landscape characteristics, notably woodland cover, meadow cover, and ditch network length, also significantly shaped the distribution of Zygoptera. For Anisoptera, species richness was not explained by environmental variables and beta diversity was associated only with local conditions; it increased with increasing dissimilarity in water quality and riparian vegetation. We also found evidence of functional trait syndromes (combinations of correlated traits) in Odonata assemblages, but without clear relationships to environmental gradients.</span></p> <p><span>This study reveals the structuring role of water regime for Odonata in ditch networks and demonstrates the need to jointly consider environmental variables at different spatial scales to properly understand the distribution of Odonata. </span></p> <p><span>Our findings have important conservation implications as the water regime is heavily managed in such ecosystems. Even though the relationship between functional composition and environmental gradients was found to be of limited extent in this study, we discuss how it might provide new insights for Odonata assemblage structure and be useful, locally, for stakeholders and managers. Lastly, we call for further multiscale investigations considering both the taxonomic and functional responses of Odonata assemblages (functional analyses with multiple traits and several species being scarce in this taxonomic group) in other anthropogenic freshwater ecosystems to gather more lessons for their conservation.</span></p>
Urban Stream Environmental and Sequencing Datasets for Exploring the Impacts of Full-Scale Distribution System Orthophosphate Corrosion Control Implementation on the Microbial Ecology of Hydrologically Connected Urban Streams
<p>The dataset of environmental parameters and sequence fastqs used to create figures and do analysis in the paper <strong>Exploring the Impacts of Full-Scale Distribution System Orthophosphate Corrosion Control Implementation on the Microbial Ecology of Hydrologically Connected Urban Streams </strong>submitted to Applied and Environmental Microbiology. </p>
Data for 'Using 40 years of spot measurements to assess stream temperature response and recovery for different harvesting systems in northern hardwood forests' by Jason Leach, Danielle Hudson and R. Dan Moore. Submitted to Hydrological Processes.
<p>This dataset contains spot stream temperature measurements taken at 5 headwater streams draining forested hillslopes (C31, C32, C33, C34, C35) in the Turkey Lakes Watershed, approximately 65 km northwest of Sault Ste. Marie, Ontario, Canada.</p>
Code of "Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation"
<p>Code used to prepare a paper entitled "Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation" which was submitted to Hydrology and Earth System Sciences.</p>
Data for: Substantial intraspecific trait variation across a hydrological gradient in northern Australian fishes
<p>Trait-based models of ecological communities and ecosystem functioning often fail to account for intraspecific variation in functional traits, <span>assuming that intraspecific variability is negligible compared to interspecific variability</span>. However, this assumption remains poorly tested across vertebrate animals where past studies routinely describe species according to mean trait values without explicit consideration of individual trait variability. We assessed nine functional traits for 4,254 individuals belonging to 15 freshwater fish species from 11 families in Northern Australia, including: body elongation, body shape, caudal peduncle throttle, eye size, eye position, gape shape, gape size, mouth position and pectoral fin length. We quantified the extent and geography of intraspecific trait variability and its relationship with riverine hydrologic regimes using a structured sampling design. Using a combination of single- and multi-trait analyses, we demonstrate that intraspecific trait variability can contribute up to 70% of the total trait variability depending on the attribute considered and averaged 31% across all traits. The magnitude of intraspecific trait variability also varied across the hydrological permanency gradient. Fish assemblages in intermittent streams subjected to frequent environmental disturbance had high intraspecific trait variability, most likely due to strong abiotic filters limiting interspecific divergence. Conversely, assemblages in perennial rivers with less harsh environmental filters but with a larger pool of species expressed lower intraspecific trait variability: this is most likely due to stronger resource competition (biotic filter), which promotes specialization of resource use and, consequently, interspecific divergence. Our study provides the first evidence of intraspecific trait variability driven by a disturbance gradient for an animal group and points to the need for additional research into the functional importance of intraspecific variability in animal ecology. A better understanding of the patterns, drivers, and implications of intraspecific trait variability will help guide mechanistic-based predictions of the effects of environmental changes on community assemblage and ecosystem processes.</p>
Localizing Hydrological Drought Early Warning using In-Situ Groundwater Sensors - Veness et al. (2022) - Dataset
<p>This upload contains full input data and modelling scripts to support AGU WRR's 'Localizing Hydrological Drought Early Warning using In-situ Groundwater Sensors' (Veness et al., 2022).</p> <p>'WRR_Data_Extraction' contains input data and processing of these for model input.</p> <p>'WRR_Modelling_Methods' contains two folders. 'Groundwater Model & Calibration' provides the code for the modified AquiMod, formatted for input in to an automated calibration procedure (run time approx. 5 minutes with 10,000 runs). The 'Plotting Files' folder contains the code converting the groundwater levels from the automated calibration procedure to plots seen in the paper.</p> <p>These scripts require use of the data and functions within the 'data_and_functions' folder, which may require careful directory management and minor edits to the code to ensure the scripts can communicate.</p>
Disentangling the impact of event- and annual-scale precipitation extremes on critical-zone hydrology in semiarid loess: A case study in apple tree plantation
<p>The dataset is the basic data of the author's paper ' Disentangling the impact of event-and annual-scale precipitation extremes on critical-zone hydrology in semiarid loess - a case study in apple tree plantation '. The main content of this paper is to study the hydrological effect of extreme precipitation on the critical area of semi-arid loess. Taking apple plantation as an example, the data set includes the soil moisture and soil temperature data monitored in the field and the apple tree transpiration data. The measured data are used to calibrate and verify the model used in this paper. The water vapor flux, apple tree evapotranspiration and soil leakage data of the simulated soil profile are also included to analyze the hydrological effect of extreme precipitation on the critical area of loess.</p>
Stable Isotope Hydrology Data from Gnamma Systems in the Colorado Front Range
<p>This dataset accompanies a submission to Geophysical Research Letters titled "Stable Isotopes Constrain Water Seepage from Gnammas into Bare Granitic Bedrock".</p>
Dataset: Local hydrological conditions influence tree diversity and composition across the Amazon basin
<p>Tree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance, and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased toward better-drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian forests. Overall, this study shows that the effect of local hydrological conditions is pervasive, extending overwide Amazonian regions, and reinforces the importance of accounting for local topography and hydrology to better understand the likely response and resilience of forests to increased frequency of extreme climate events and rising temperatures.</p>
Integrated hydrological model results for Lower Triangle Region in East River Watershed, Colorado, WYs 2016 and 2017
<p><strong>Summary</strong></p> <p>This data package contains numerical simulation results of integrated hydrology in Lower Triangle Region in East River Watershed, Colorado. The system is forced with <a href="https://daymet.ornl.gov/">DAYMET</a> precipitation and climate data of the region for the water years 2016 and 2017. The results are computed on triangular multi-resolution meshes with resolutions ranging from 10 meter to 80 meter. The purpose of the data is to assess the influence of surface-subsurface exchange on distributed and aggregated hydrological response.</p> <p><strong>Material and Methods</strong></p> <p>Data has been generated by the <a href="https://amanzi.github.io/">Advanced Terrestrial Simulator (ATS)</a> v1.0. The output format of ATS for spatially distributed data is <a href="https://www.hdfgroup.org/solutions/hdf5">HDF5</a> and can be viewed, for example, using <a href="https://hpc.llnl.gov/software/visualization-software/visit">VisIt</a> or <a href="https://www.paraview.org/">ParaView</a>. The format of point data is plain text.</p> <p><strong>README content</strong></p> <p>The uploaded files have been created using the unix split(1) command to limit the size of each individual package. Files can be merged under a unix system through:</p> <p><code>$ cat OZGEN_ETAL_2022.zip.partaa OZGEN_ETAL_2022.zip.partab OZGEN_ETAL_2022.zip.partac > output.zip</code></p> <p>Unzip via</p> <p><code>$ unzip output.zip</code></p> <p>or using a graphical environment.</p>
Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway
<p>This folder contains earthquake catalog used in "Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway" by Shiddiqi et al. (2022) submitted to Geophysical Journal International.</p> <p>note: unrelocated earthquakes are marked with 999 in location errors.</p>
Earthquake catalog for "Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway"
<p>This folder contains earthquake catalog used in "Seismicity modulation due to hydrological loading in a stable continental region: a case study from the Jektvik swarm sequence in Northern Norway" by Shiddiqi et al. (2022) submitted to Geophysical Journal International.</p>
Combined effects of stream hydrology and land use on basin-scale hyporheic zone denitrification in the Columbia River Basin
<p><strong>This data includes inputs and outputs of a coupled carbon-nitrogen river corridor model (RCM) for the Columbia River Basin and sensitivity results with varying substrate concentrations, and random forest model results with key model inputs/watershed/stream variables. The detailed descriptions of the individual files are included in the readme.txt file. </strong></p>
Data to reproduce the results presented in Lake et al. 2022. Hydrological processes, https://doi.org/10.1002/hyp.14726 ("Using particle size distributions to fingerprint suspended sediment sources – evaluation at laboratory and catchment scales")
<p>This repository contains data on particle size distribution data obtained from the laboratory and field experiments as described in Lake et al., 2022. </p> <p>The data contains the input files as needed for the modelling:</p> <p>- In the excel files the particle size distribution data for the target SS</p> <p>- In the text file the particle size distribution data from the sources.</p> <p> </p> <p>Furthermore, the data contains the resulting output files.</p> <p> </p>
Hydrologic Response of the Columbia River System to Climate Change
<p>Hydrologic projections for the Columbia River Basin and coastal drainages in the Pacific Northwest, United States.</p> <p>See http://www.hydro.washington.edu/CRCC/ for more information.</p> <p> </p>
Modeling the hydrological cycle in the atmosphere of Mars: Influence of a bimodal size distribution of aerosol nucleation particles
<p>Data from figures.</p>
Data for "Multifractal comparison of reflectivity and polarimetric rainfall data from C- and X-band radars and respective hydrological responses of a complex catchment model"
<p>The data files arranged here correspond to the data used in the paper: “Multifractal comparison of reflectivity and polarimetric rainfall data from C- and X-band radars and respective hydrological responses of a complex catchment model”, submitted to <em>Water</em>.</p> <p>The data organized as follows:</p> <ul> <li>Data_type_20150912_time_steps.mat: the rainfall data for 3 different products of the X-band radar (FIR filter, a=200, b=1.6; FIR filter, a=150, b=1.3; simple filter, a=150, b=1.3) for the event of 12-13 September 2015, over an area of 64 km x 64 km.</li> <li>Data_type_Event_time_steps.mat: X-band radar data (FIR filter, a=150, b=1.3) for the events of 16 September 2015 and 5-6 October 2015, over an area of 64 km x 64 km.</li> <li>Sub-catchment_name_Data_type_Event.txt: the rainfall series for each of 26 sub-catchments of the model, for 3 different types of rainfall data (C-band, X-band and rain gauges) for the events of 12-13 September 2015, 16 September 2015 and 5-6 October 2015.</li> <li>X-band_Pixels_Event.txt: the rainfall series for all 6 X-band radar pixels corresponding to the 6 rain gauges for the 3 studied events (12-13 September 2015, 16 September 2015, and 5-6 October 2015).</li> <li>X-Band_Optim 20150916_Measurement_point_name.txt: flow simulated at each of the 4 measurement points with X-band data for the 16 September 2015 event, with the implementation of the tool mimicking the regulation optimization.</li> <li>Data_type_Event_Measurement_point_name.txt: flow simulated at each of the 4 measurement points with 3 different types of rainfall data (C-band, X-band and rain gauges) for the 3 studied events (12-13 September 2015, 16 September 2015, and 5-6 October 2015), without the implementation of the tool mimicking the regulation optimization.</li> </ul> <p>The original C-band radar data remains property of Météo-France and was provided to the authors for this research study, without any possibility of data disclosure.</p> <p>The details on how the rainfall series were generated over each sub-catchment could be found in the paper.</p> <p>The authors greatly acknowledge partial financial supports of the Chair “Hydrology for resilient cities” endowed by Veolia, and of the Department of Science and Technology of the Brazilian Army. The authors are thankful to M Bernard Urban (Météo-France) for providing access to the C-band radar data and documentation in the framework of the INTERREG NWE RainGain project.</p>
Pilot 1 Model-based decision support for testing drought-related adaptation strategies in the Aa of Weerijs river basin, the Netherlands: Hydrological model description, input data sources and model results
<p>This dataset contains: the report with the description of the model structure, the input data sources and the spatial locations within the catchment for which surface and groundwater results data are provided.</p>
Velocity of Greenland's Helheim Glacier controlled both by terminus effects and subglacial hydrology with distinct realms of influence
<p>Description of files contained in this archive:</p> <p><strong> </strong></p> <p>SHAKTI-ISSM model output</p> <p>Winter spin-up</p> <p>Helheim_SHAKTI_N_2_1yr_H10.mat</p> <ul> <li> <p>Winter base state spin-up simulation, final state serves as initial conditions for seasonal simulations</p> </li> </ul> <p><strong> </strong></p> <p>Seasonal hydrology-forced simulations</p> <p>Helheim_big_seasonal_low.mat</p> <ul> <li> <p>Seasonal simulation</p> </li> </ul> <p>Helheim_big_seasonal_firn.mat</p> <ul> <li> <p>Seasonal + firn aquifer simulation</p> </li> </ul> <p>Helheim_big_seasonal_bigmelt.mat</p> <ul> <li> <p>Enhanced melt simulation</p> </li> </ul> <p><strong> </strong></p> <p>Seasonal terminus-forced simulations</p> <p>Helheim_termforce_year2_v3.mat</p> <ul> <li> <p>Termforce simulation</p> </li> </ul> <p>Helheim_termforce_seasonal_v3.mat</p> <ul> <li> <p>Seasonal + termforce simulation</p> </li> </ul> <p>Helheim_termforce_seasonal_firn_v3.mat</p> <ul> <li> <p>Seasonal + firn aquifer + termforce simulation</p> </li> </ul> <p>Helheim_termforce_seasonal_bigmelt2_v3.mat</p> <ul> <li> <p>Enhanced melt + termforce simulation</p> </li> </ul> <p><strong> </strong></p> <p>Sensitivity simulations</p> <p>MOLHO_365d.mat</p> <ul> <li> <p>Winter base state spin-up simulation using MOLHO instead of SSA</p> </li> </ul> <p>A15_365d.mat</p> <ul> <li> <p>Winter base state spin-up simulation with flow law parameter for -15 deg C instead of -10 deg C</p> </li> </ul> <p>Helheim_br1_lr100_1yr.mat</p> <ul> <li> <p>Winter base state spin-up simulation including opening by sliding, final state serves as initial conditions for seasonal simulations</p> </li> </ul> <p>Helheim_br1_lr100_bigmelt.mat</p> <ul> <li> <p>Enhanced melt simulation including opening by sliding</p> </li> </ul> <p><strong><br><br></strong></p> <p>Model setup scripts (to be used with ISSM in MATLAB)</p> <p>runme_Helheim_inversion.m</p> <ul> <li> <p>Script to perform stress balance inversion</p> </li> </ul> <p>Helheim_CG.exp</p> <ul> <li> <p>Model domain coordinates</p> </li> </ul> <p>Greenland_clean.par</p> <ul> <li> <p>Parameter file</p> </li> </ul> <p>merra2_runoff.mat</p> <ul> <li> <p>14-day smoothed meltwater input</p> </li> </ul> <p>runme_Helheim_shaktiissm_startfrominversion_clean.m</p> <ul> <li> <p>Script to perform coupled SHAKTI-ISSM simulation, beginning from a model set up in the inversion script</p> </li> </ul> <p>runme_Helheim_continue_shaktiissm_clean.m</p> <ul> <li> <p>Script to continue a coupled SHAKTI-ISSM simulation, beginning from the end state of a previous SHAKTI-ISSM simulation</p> </li> </ul> <p>runme_Helheim_continue_seasonal_clean.m</p> <ul> <li> <p>Script to run a transient seasonal coupled SHAKTI-ISSM simulation, beginning from the end state of a winter SHAKTI-ISSM spin-up simulation</p> </li> </ul> <p><strong> </strong></p> <p>Plotting scripts</p> <p>load_models_Helheim_termforce.m</p> <ul> <li> <p>Load model output</p> </li> </ul> <p>plot_timeseries_coupled_point_paper_clean.m</p> <ul> <li> <p>Plot time series of effective pressure, velocity, and meltwater input. Also plots scatter plot of velocity vs. effective pressure</p> </li> </ul> <p>plot_pm_logscale.m</p> <ul> <li> <p>Plot difference in velocity compared to winter state with +/- log10 color scale</p> </li> </ul> <p>plot_pm_logscale_N.m</p> <ul> <li> <p>Plot difference in effective pressure compared to winter state with +/- log10 color scale</p> </li> </ul>
Hydrologic data from long-term research catchments at the Santa Rita and Jornada Experimental Ranges
<p>This datasets contains ecohydrological data collected for the research catchments at the Santa Rita Experimental Range (SRER, 31.817° N, -110.851° W) in southern of Arizona and the Jornada Experimental Range (JER, 32.585° N, -106.603° W) in southern New Mexico. The SRER catchment correspond to a mesquite savanna of the Sonoran Desert and the JER catchment is a mixed shrubland of the Chihuahuan Desert.</p> <p>Dataset includes the following ecohydrological variables at a daily scale:</p> <ul> <li>Year of measurement.</li> <li>Day of year (DOY) of measurement.</li> <li>Precipitation (<em>P</em>).</li> <li>Evapotranspiration (<em>ET</em>).</li> <li>Runoff (<em>Q</em>).</li> <li>Soil moisture (<em>SM</em>).</li> <li>Net Radiation (<em>R<sub>n</sub></em>).</li> <li>Sensible heat flux (<em>H</em>).</li> <li>Latent heat flux (<em>λET</em>).</li> <li>Gross primary production (<em>GPP</em>).</li> <li>Ecosystem respiration (<em>R<sub>eco</sub></em>).</li> <li>Net ecosystem exchange (<em>NEE</em>).</li> <li>Air Temperature (<em>Tair</em>).</li> <li>Relative Humidity (<em>RH</em>).</li> <li>Vapour Pressure Deficit (<em>VPD</em>).</li> </ul> <p>Please cite the next data note together with the dataset:</p> <p>Vivoni, E. R., Perez-Ruiz, E. R., Keller, Z. T., Escoto, E. A., Templeton, R. C., Templeton, N. P., Anderson, C. A., Schreiner-McGraw, A. P., Mendez-Barroso, L. A., Robles-Morua, A., Scott, R. L., Archer, S. R., Peters, D. P. C. 2021. Long-term Research Catchments to Investigate Shrub Encroachment in the Sonoran and Chihuahuan Deserts: Santa Rita and Jornada Experimental Ranges. <em>Hydrological Processes</em>. 35: e14031. <a href="https://urldefense.com/v3/__http://doi.org/10.1002/hyp.14031__;!!IKRxdwAv5BmarQ!OTbdNyLUWzTumWFs0u8j8dW3TT9O3UzM6XrcR-ReiWzf7vxHHKdNTKy8wR27fiHR$">http://doi.org/10.1002/hyp.14031</a></p> <p>This new version incudes three new variables (<em>Tair</em>, <em>RH</em> and <em>VPD</em>), and some carbon and water fluxes were updated to match data used in publications 1 and 2.</p> <p>Related publications:</p> <ol> <li>Perez-Ruiz, E.R., Vivoni, E.R., and Sala, O.E. 2022. <a href="https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4189" target="_blank" rel="noreferrer noopener">Seasonal Carryover of Water and Effects on Carbon Dynamics in a Dryland Ecosystem</a>. <em>Ecosphere.</em> 13(7): e4189.</li> <li>Vivoni, E.R., Perez-Ruiz, E.R., Scott, R.L., Naito, A.T., Archer, S.R., Biederman, J.A., and Templeton, N.P. 2022. <a href="http://www.sciencedirect.com/science/article/pii/S0168192321004494" target="_blank" rel="noreferrer noopener">A Micrometeorological Flux Perspective on Brush Management in a Shrub-encroached Sonoran Desert Grassland</a>. <em>Agricultural and Forest Meteorology</em>. 313: 108763.</li> <li>Schreiner-McGraw, A.P., and Vivoni, E.R. 2018. <a href="http://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018WR022842">On the Sensitivity of Hillslope Runoff and Channel Transmission Losses in Arid Piedmont Slopes.</a> <em>Water Resources Research</em>. 54(7): 4498-4518.</li> <li>Schreiner-McGraw, A.P., and Vivoni, E.R. 2017. <a href="http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2000/full">Percolation Observations in an Arid Piedmont Watershed and Linkages to Historical Conditions in the Chihuahuan Desert.</a> <em>Ecosphere</em>. 8(11): e02000, <a href="http://dx.doi.org/10.1002/ecs2.2000">http://dx.doi.org/10.1002/ecs2.2000</a></li> <li>Anderson, C.A., and Vivoni, E.R. 2016. <a href="http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015WR018016/abstract">Impact of Land Surface States within the Flux Footprint on Daytime Land-Atmosphere Coupling in Two Semiarid Ecosystems of the Southwestern U.S.</a> <em>Water Resources Research.</em> 52: 4785-4800.</li> <li>Schreiner-McGraw, A.P., Vivoni, E.R., Mascaro, G., and Franz, T.E. 2016. <a href="http://www.hydrol-earth-syst-sci.net/20/329/2016/hess-20-329-2016.html">Closing the Water Balance with Cosmic-ray Soil Moisture Measurements and Assessing Their Relation with Evapotranspiration in Two Semiarid Watersheds.</a> <em>Hydrology and Earth System Sciences</em>. 20: 329-345.</li> <li>Pierini, N.A., Vivoni, E.R., Robles-Morua, A., Scott, R.L., and Nearing, M.A. 2014. <a href="http://onlinelibrary.wiley.com/doi/10.1002/2014WR015781/abstract">Using Observations and a Distributed Hydrologic Model to Explore Runoff Threshold Processes Linked with Mesquite Encroachment in the Sonoran Desert.</a> <em>Water Resources Research</em>. 50(10): 8191–8215.</li> <li>Templeton, R.C., Vivoni, E.R., Méndez-Barroso, L.A., Pierini, N.A., Anderson, C.A., Rango, A., Laliberte, A.S., and Scott, R.L. 2014. <a href="http://www.sciencedirect.com/science/article/pii/S0022169413008718">High-Resolution Characterization of a Semiarid Watershed: Implications on Evapotranspiration Estimates.</a> <em>Journal of Hydrology</em>. 509: 306-319.</li> <li>Vivoni, E.R., Rango, A., Anderson, C.A., Pierini, N.A., Schreiner-McGraw, A., Saripalli, S., and Laliberte, A.S. 2014. <a href="http://www.esajournals.org/doi/abs/10.1890/ES14-00217.1">Ecohydrology with Unmanned Aerial Vehicles.</a> <em>Ecosphere</em>. 5(10): art130. <a href="http://dx.doi.org/10.1890/ES14-00217.1">http://dx.doi.org/10.1890/ES14-00217.1</a></li> </ol> <p> </p>
ScienceDex guides
Understand access before you commit
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.