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31,887 results for “three”
Data from: Dietary partitioning among three cryptobentic reef fish mesopredators revealed by visual analysis, metabarcoding of gut content, and stable isotope analysis
<p>Understanding how mesopredators partition their diet and the identity of consumed prey can assist in understanding the ecological role predators and prey play in ecosystem trophodynamics. Here, we assessed the diet of three common coral reef mesopredators; <em>Pseudochromis flavivertex</em>, <em>Pseudochromis fridmani</em>, and <em>Pseudochromis olivaceus</em> from the family Pseudochromidae, commonly known as dottybacks, using a combination of i) visual stomach content analysis, ii) stomach content DNA metabarcoding (18S, COI), and iii) stable isotope analysis (δ<sup>15</sup>N, δ<sup>13</sup>C). In addition, <em>P. flavivertex</em> is found in two distinct color morphs in the Red Sea, providing an opportunity to analyze intra-morph differences. These techniques revealed partitioning in the dietary composition and resource use among species. Arthropods comprised the main dietary component of <em>P. flavivertex</em> (18S > 60%; COI > 10%), and <em>P. olivaceus</em> (18S = 57.2%) while <em>P. fridmani</em> ingested predominantly mollusks (18S = 51.3%, COI = 24.6%). Despite being small predators, microplastics were found in the gut content of some of these fishes. Stable isotope analysis showed differences in species' isotopic niche breadth and trophic position. <em>Pseudochromis olivaceus</em> presented the largest isotopic niche (SEA<sub>C</sub> = 1.61‰<sup>2</sup>), while <em>P. fridmani</em> showed the smallest isotopic niche (SEA<sub>C</sub> = 0.45‰<sup>2</sup>) among species. Although the two techniques used for stomach content analysis did not show differences in the diet within color morphs of <em>P. flavivertex</em>, they differed in the isotopic niche and resource use. Despite our limited sampling, our findings provide evidence of species-specific differences in the trophic ecology of dottybacks and demonstrate their important role as predators of cryptic invertebrates and small fishes. This study highlights the importance of combining several approaches (short-term: visual analysis and DNA metabarcoding; and long-term: isotope analysis) when assessing the feeding habits of coral reef fish, as they provide complementary information necessary to delimit their niches and understand the role that small mesopredators play in coral reef ecosystems.</p>
Data from: Dung beetles from three primary forest sites in the Brazilian Amazon
<p><em>Scarabaeinae</em> beetles (Coleoptera: Scarabaeidae) is a high performance indicator group used in biodiversity assessment of tropical forests. As most species are coprophagous they are commonly known as dung beetles although few species may be necrophagous or saprophagous. Allied to the feeding habitat dung beetles display a complex reproductive behaviour with nests underground, and therefore act in many ecossistem services as nutrient cycling, bioturbation and secondary seed dispersal. Dung beetles display specific forraging methods, as they detect food odors through the antennas and fly towards the food resource. They are therefore captured by baited pitfall and flight interception traps, and studies have shown the complementary between these methods. However, the use of attractants can introduce additional sources of variation in trap performance. In our paper we aimed to assess the effect of bait attractiveness on assemblages metrics when sampled by baited pitfall traps. We identified species less and highly attracted to the baits in use, and that assemblages sampled with baited traps tend to lower diversity and higher dominance.</p>
Presentation in HEARING: High-resolution structural and functional EAR imaging 2023: Three-dimensional vibration of the human tympanic membrane using a scanning laser doppler vibrometer
<p>This is for Bastian Baselt's poster presentation in HEARING: High-resolution structural and functional EAR imaging, Ascona, Switzerland in 2023, and the related data.</p>
FIGURE 8 in Three new species of the Eigenmannia trilineata species group (Gymnotiformes: Sternopygidae) from northwestern South America
FIGURE 8 | Holotype ICN-MHN 2318 for Eigenmannia magoi, scale bar 1 cm.
FIGURE 9 in Three new species of the Eigenmannia trilineata species group (Gymnotiformes: Sternopygidae) from northwestern South America
FIGURE 9 | Holotype CZUT 11030 for Eigenmannia zenuensis, scale bar 1 cm.
FIGURE 6 in Three new species of the Eigenmannia trilineata species group (Gymnotiformes: Sternopygidae) from northwestern South America
FIGURE 6 | Holotype IAvH-P 9238 for Eigenmannia camposi, scale bar 1 cm.
Data for "Willingness of rural and urban citizens to undertake pollinator conservation actions across three contrasting European countries"
<p>Data for: "Willingness of rural and urban citizens to undertake pollinator conservation actions across three contrasting European countries" by Costanza Geppert, Cristiano Franceschinis, Thijs P.M. Fijen, David Kleijn, Jeroen Scheper, Ingolf Steffan-Dewenter, Mara Thiene, Lorenzo Marini (2024) <em>People and Nature</em>. This dataset was obtained by administering an online questionnaire in Germany, Italy, and the Netherlands.</p>
Datasets from hydrus simulations for three soils
<p>The data were obtained from hydrus simulation results and consisted of three parts for different texture soils.</p>
Acclimation of thermal tolerance in juvenile plants from three biomes is supressed when extremes co-occur
<p>Given the rising frequency of thermal extremes (heatwaves and cold snaps) due to climate change, comprehending how a plant's origin affects its thermal tolerance breadth becomes vital. We studied juvenile plants from three biomes: temperate coastal rainforest, desert, and alpine. In controlled settings, plants underwent hot days and cold nights in a factorial design to examine thermal tolerance acclimation. We assessed thermal thresholds (<em>T</em><sub>crit-hot</sub> and <em>T</em><sub>crit-cold</sub>) and thermal tolerance breadth (TTB). We hypothesised that: 1) desert species would show the highest heat tolerance, alpine the greatest cold tolerance, with temperate species intermediate; 2) all species would increase heat tolerance post hot days and cold tolerance after cold nights; 3) combined exposure would broaden TTB more than individual conditions, especially in desert and alpine species. We found that biome responses were minor compared to the responses to the extreme temperature treatments. All plants increased thermal tolerance in response to hot 40°C days (<em>T</em><sub>crit-hot</sub> increased by ~3.5°C) but there was minimal change in <em>T</em><sub>crit-cold</sub> in response to the cold -2°C nights. In contrast, when exposed to both hot days and cold nights, on average plants exhibited an antagonistic response in TTB, where cold tolerance decreased and heat tolerance was reduced, and so we did not see the bi-directional expansion we hypothesised. There was, however, considerable variation among species in these responses. As climate change intensifies, plant communities, especially in transitional seasons, will regularly face such temperature swings. Our results shed light on potential plant responses under these extremes, emphasizing the need for deeper species-specific thermal acclimation insights, ultimately guiding conservation efforts.</p>
Raw data for the manuscript: Survival and reproduction effects of microplastics from three agricultural mulching films on Folsomia candida, Sinella curviseta, Heteromurus nitidus and Ceratophysella denticulata (Collembola)
<p>Survival and reproduction data from single species tests involving four Collembola species and three types of plastic materials.</p>
Dataset used for the article Intergroup Ethnocentrism and Social Media: Evidence from three western Democracies
<p>This is the dataset, used for the paper <strong>Intergroup Ethnocentrism and Social Media: Evidence from three western Democracies</strong>, submitted to the Information, Communication & Society for review. This work was supported by an Audencia Foundation research grant Innovation and Stability.</p>
Fig 7 in On three species of Plexippoides Prószyński, 1984 from Southwest, China (Araneae: Salticidae)
Fig 7. Distributional records of the species of Plexippoides Prószyński, 1984.
Three-dimensional Unfolding and Unfaulting Dataset for Structural Interpretation Using Self-Supervised Learning
<p>This dataset accompanies the study "Three-dimensional unfolding and unfaulting for structural interpretation using self-supervised learning." It provides synthetic data used to develop and validate a novel 3-D lightweight neural network framework for restoring deformed geological structures to their flattened state. The data include highly deformed examples with complex faulting and folding, designed to test the model's ability to compute precise shifts that realign stratigraphic layers. </p>
Figures referring to the paper "Radii, masses, and transit-timing variations of the three-planet system orbiting the naked-eye star TOI-396" (Bonfanti et al.) accepted for publication in A&A on 20/11/2024
<p>Fig. A.1: ttv_pla1_2.pdf</p> <p>TTV amplitudes obtained for TOI-396 b (black markers) and TOI-396 c (red markers). This is a superposition of the first two panels of Figure 4 in the paper emphasising the anti-correlation pattern.</p> <p> </p> <p>Fig. A.2: lcGLS*.pdf</p> <p>First column: Generalised Lomb-Scargle periodograms of TESS Sector 3 (lcGLS_3.pdf), 4 (lcGLS_4RawFluxrm.pdf), 30 (lcGLS_30RawFlux.pdf), and 31 (lcGLS_31RawFlux.pdf) raw photometry. Second column: Generalised Lomb-Scargle periodograms of the residuals (lcGLSRaw_3noSine.pdf, lcGLSRaw_4noSinerm.pdf, lcGLSRaw_30noSine.pdf, lcGLSRaw_31noSine.pdf) after removing the best fitting sinusoidal signals at the most significant frequency identified in the periodograms of the corresponding TESS time series. The long dashed red line marks the FAP at 0.1\%. Significant peaks are detected in the 6---8 day range, which we attribute to the presence of active regions co-rotating with the star.</p>
Fig. 11 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)
Fig. 11. Collection localities for three new species of Meotipa Simon, 1895 in China.
Supplementary material: One of Many: A Neolithic Settlement History of the Three Lakes Region in Western Switzerland
<p>Data and code to produce the figures of the paper "One of Many: A Neolithic Settlement History of the Three Lakes Region in Western Switzerland" by Julian Laabs. In the edited book: Heitz, C., Stapfer, R., Hinz, M. (Eds.), 2024. Aufgetau(ch)t. Archäologie zu Seeufer­­siedlungen, Eisfunden und Klimawandel. Festschrift für Albert Hafner zum 65. Geburtstag. Sidestone Press, Leiden. DOI: <a href="https://doi.org/10.59641/uu545xg">10.59641/uu545xg</a><br><br></p>
Enhanced Majorana stability in a three-site Kitaev chain
<p>This repository contains all the raw data and the code used to generate the figures of the article "Enhanced Majorana stability in a three-site Kitaev chain".<br><br>A "kitaev3_simulations.ipynb" notebook generates all the theory simulations and a "kitaev3_figures.ipynb" notebook generates all the figures. To be able to run them you can install anaconda, create a fresh environment and install the proplot, jupyterlab, xarray, netcdf4, tqdm python packages as in the following example:</p> <pre><code>conda create -n kitaev3 python=3.10 conda activate kitaev3 conda install proplot conda install jupyterlab conda install xarray netcdf4 conda install tqdm</code></pre> <p>Alternatively, you can install the environment from the env.yml file we provide and run the notebooks as follows:</p> <pre><code>conda env create -f env.yml conda activate kitaev3 jupyter lab</code></pre> <p>In addition, in "raw_data > databases-and-notebooks" we share the entire QCoDeS databases from which the measurements shown in the manuscript are extracted. They contain the tuning of our device's quantum dots, the optimization of the tunneling barriers and much more. We include our measurement logs in PDF form for easy browsing.</p>
AMaze: fully discrete training with three regimes (direct, scaffolding, interactive) and two algorithms (A2C, PPO)
<p>Dataset containing all training artifacts (final models, training curves, intermediate visualizations, ...) as well as the raw data used to assert generalization capabilities.</p> <p>The associated archive final_behavior.tar.gz provides a visualization of every replicate's final behavior for easier navigation.</p> <p>Distribution files contain a sampling across 1000 seeds, 5 probabilities for traps and lures, 4 sizes and 5 set sizes resulting in 486356 mazes. Descriptive graphs provide an overview of the accessible "maze space".</p> <p> </p> <p>v2: Added script to aggregate run dynamics (mean reward, errors, maze lengths...) and resulting generated dataset (csv) and plots (pdf)</p>
Three-dimensional crustal channel flows beneath the southeastern Tibetan Plateau revealed by full-waveform ambient noise tomography
<p>This is a new version of Vp and Vs models for paper titled "Three‐Dimensional Crustal Channel Flows Beneath the Southeastern Tibetan Plateau Revealed by Full‐Waveform Ambient Noise Tomography" published in Geophysical Research Letters.</p> <p>Modification history: new Vs model includes from surface downward to 120 km depth.</p> <p>Please ignore the models in version 1 and 2.</p>
Data and Code for "Observation of edge and bulk states in a three-site Kitaev chain"
<p>This folder contains the raw data and code used to generate the plots for the manuscript <em>Observation of e</em><em>dge and bulk states in a three site Kitaev chain.</em></p> <p>Three jupyer notebooks are included for outputting the data.</p> <p>To run the Jupyter notebooks, install Anaconda and execute the .yml file to create the appropriate environment:</p> <blockquote> <p><em>conda env create -f 0_env.yml </em></p> </blockquote> <p>Active the environment by running: </p> <blockquote> <p><em>conda activate Kitaev3_2DEG</em></p> </blockquote> <p>Finally, open jupyer lab:</p> <blockquote> <p><em>jupyter lab</em></p> </blockquote> <p>to launch the notebooks.</p> <p>Data is stored in the qcodes '.db' format. Datasets are transformed in the plotting functions to an xarray dataformat, before being processed. All data obtained over the course of the measurements is included. The file '1_Introduction.ipynb' details what data is included and how to load/visualise the datasets. A package has been included in the folder 'Plotting', which allows for automatically plotting any dataset with some minimal configuration options. </p> <p>The following files are included:</p> <ul> <li><em>0_env.yml : </em>conda environment required for running the notebooks</li> <li>1_Introduction.yml: explanation of how to load and output the datasets</li> <li>2_Figures_Main.ipynb: loads data from the databases and outputs the figures as shown in the main text</li> <li>3_Figures_Supp.ipynb: loads data from the databases and outputs the figures as showni n the supplementary text</li> <li>Kitaev_3_conductance.py: File for solving the tight-binding Kitaev chain model and calculate conductances using a scattering matrix approach, used to generate the numerical results as shown in the main text and supplementary file</li> </ul>
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.