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1,947 results for “Proposals”
Figs 5, 6 in Proposal of Karliella gen. n. for the Afrotropical 'Pegomya' sexpunctata Karl, 1935 (Diptera: Anthomyiidae), a possible kleptoparasite of dung-breeding beetles
Figs 5, 6. Karliella sexpunctata (Karl): (5) male thorax, dorsal view; (6) male wing, ventral view. Scale bars: Fig. 5 = 0.5 mm, Fig. 6 = 1.0 mm.
Figs 1–4 in Proposal of Karliella gen. n. for the Afrotropical 'Pegomya' sexpunctata Karl, 1935 (Diptera: Anthomyiidae), a possible kleptoparasite of dung-breeding beetles
Figs 1–4. Karliella sexpunctata (Karl): (1, 2) male head, lateral and dorsal views; (3, 4) female head, dorsal and lateral views. Scale bar = 0.5 mm.
Figs 10, 11 in Proposal of Karliella gen. n. for the Afrotropical 'Pegomya' sexpunctata Karl, 1935 (Diptera: Anthomyiidae), a possible kleptoparasite of dung-breeding beetles
Figs 10, 11. Karliella sexpunctata (Karl), female abdomen, dorsal and ventral views. Scale bar = 0.5 mm.
Figs 7–9 in Proposal of Karliella gen. n. for the Afrotropical 'Pegomya' sexpunctata Karl, 1935 (Diptera: Anthomyiidae), a possible kleptoparasite of dung-breeding beetles
Figs 7–9. Karliella sexpunctata (Karl), male abdomen, dorsal (7), ventral (8) and lateral (9) views. Scale bar = 0.5 mm.
Figure 1 in Length-weight, length-length and a proposed empirical standard weight equations for the Italian endemic cyprinid species Sarmarutilus rubilio
Figure 1. - Area of distribution of Sarmarutilus rubilio (in grey) (from IUCN, 2013 modified) and localization of sampling stations (black points).
Data from: A proposed coupling framework of biological invasions: Quantifying the management prioritization in mealybugs invasion
Open the record for dataset details and reuse information.
Supplementary data files for: Huston, D.C., Cribb, T.H. and Smales, L.R. 20XX. Molecular characterisation of acanthocephalans from Australian marine teleosts: proposal of a new family, synonymy of another and transfer of taxa between orders. Systematic Parasitology, Jan 2020.
<p>These are the supplementary data files for the manuscript "<strong>Molecular characterisation of acanthocephalans from Australian marine teleosts: proposal of a new family, synonymy of another and transfer of taxa between orders." </strong>Published in the Journal Systematic Parasitology on the 7 of January 2020.</p> <p>Included are the Nexus and Phylip alignment files used for the phylogenetic analyses, and the resulting tree files (in nexus format).</p> <p> </p>
Dataset - How do you propose your code changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub
<p>This package contains the raw open data for the study </p> <p>Marco Ortu, Giuseppe Destefanis, Daniel Graziotin, Michele Marchesi, Roberto Tonelli. 2020. How do you propose your code changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub. Under Review.</p> <p>The dataset is based on GHTorrent dataset:</p> <p>Georgios Gousios. 2013. The GHTorent dataset and tool suite. In Proceedings of the 10th Working Conference on Mining Software Repositories (MSR ’13). IEEE Press, 233–236</p> <p>And released with the same license (CC BY-SA 4.0).</p>
Fig. 4. Scombrolabrax heterolepis Roule, 1921 in Updated checklist of marine fishes (Chordata: Craniata) from Portugal and the proposed extension of the Portuguese continental shelf
Fig. 4. Scombrolabrax heterolepis Roule, 1921.
Fig. 3 in Updated checklist of marine fishes (Chordata: Craniata) from Portugal and the proposed extension of the Portuguese continental shelf
Fig. 3. Fistularia petimba Lacepède, 1803.
Fig. 2 in Updated checklist of marine fishes (Chordata: Craniata) from Portugal and the proposed extension of the Portuguese continental shelf
Fig. 2. Bajacalifornia megalops (Lütken, 1898).
Data for testing method proposed in MuSHRoom (Kinect Part 2)
<p>Data Structure</p><p>long_capture/sdf_dataset_all_interp_3</p><p>long_capture/sdf_dataset_train_interp_3</p>
Figure 9 in A new family of lithophoran Proseriata (Platyhelminthes), with the description of seven new species from the Indo-Pacific and South America, and the proposal of three new genera
Figure 9. Hard parts of the copulatory organ in the holotype of Dreuxiola philippi sp. nov.
Data for testing method proposed in MuSHRoom (iPhone Part 2)
<p>Data Structure</p><p>long_capture/sdf_dataset_all_interp_3</p><p>long_capture/sdf_dataset_train_interp_3</p>
Data for testing method proposed in MuSHRoom (iPhone Part 1)
<p>Data Structure</p><p>long_capture/sdf_dataset_all_interp_4</p><p>long_capture/sdf_dataset_train_interp_4</p>
Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma
<p><strong>Supplementary Table 1</strong>. Basic traits of the seven microarray datasets from the Gene Expression Omnibus and The Cancer Genome Atlas.</p><p><strong>Supplementary Table 2</strong>. Basic characteristics of the nine differentially expressed circRNAs</p><p><strong>Supplementary Table 3</strong>. Index of concordance (C-index) and variance inflation factor (VIF) of ABCA8, CXCL12, and CAT.</p><p><strong>Supplementary Table 4.</strong> LASSO and cox analysis of ceRNA with coef/se(coef) < 0.01 and P-value of proportional hazards assumption (PH) > 0.05.</p><p><strong>Supplementary Table 5</strong>. Robust rank aggregation analysis of ABCA8, CXCL12, and CAT. LogFC in the four datasets and RRA score of the three RNAs.</p><p><strong>Supplementary Figure 1.</strong> Competitive endogenous RNA in osteosarcoma.</p><p><strong>Supplementary Figure 2.</strong> Protein–protein interaction (PPI) network of genes in the competitive endogenous RNA network</p><p><strong>Supplementary Figure 3.</strong> Proportional hazards assumption (left) and linearity assumption (right).</p><p><strong>Supplementary Figure 4.</strong> Survival analysis for competitive endogenous RNA in osteosarcoma.</p>
Geodetic height changes at proposed IHRF sites estimated from GRACEGRACE-FO data
<p>This data provide information about geodetic heights change used to obtain all results presented in the article "<span>Yadeta S.M., </span><strong><span>Godah W.</span></strong><span>, Szelachowska M., Fotopoulos G., (2023): </span><span> <em>Assessment of temporal variations of orthometric/normal heights at proposed International Height Reference Frame sites using GRACE/GRACE-FO</em>. Survey Review. </span><span><a href="https://doi.org/10.1080/00396265.2023.2293367"><span>https://doi.org/10.1080/00396265.2023.2293367</span></a></span>" </p>
Model checking of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm
<p>This video shows model checking of a proposed parametric colored Petri net model of the Chandy-Lamport distributed global snapshot algorithm using the CPN tool version 4.0.0. The number of constituting processes is parametric in this model. It shows the functions written in ML language and the result of calling them for customized analysis of the proposed model's state space graph. The last ML code at the end of the page, "state space," summarizes the model checking and operates by calling previously displayed functions. This video aimed to demonstrate the proposed verification process of the parametric model.</p>
Automatic message sequence chart creation from simulation run of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm
<p><span>These videos show the creation of two message sequence charts from simulation runs of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm using the CPN tool with three constituting processes. </span></p> <p><strong><span>Message Sequence Chart of <span> </span>Parametric Model With 3 Processes via Automatic Simulation Run_SuppInfo.mp4</span></strong><span>: This video shows the automatic generation of a message sequence chart of the proposed parametric colored Petri net model of the Chandy-Lamport distributed global snapshot algorithm using the CPN tool version 4.0.0. The number of constituting processes is parametric in the model and was set to three. The video was generated using the authors' updated CPN tool extension server. The automatic simulation run of the model has been used to create this video. The CPN tool randomly selects the enabled transition at each step in an automatic simulation run.</span></p> <p><strong><span>Message Sequence Chart of Parametric Model With 3 Processes via Step-By-Step Simulation Run_SuppInfo.mp4:</span></strong><span> This video shows the automatic generation of a message sequence chart of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm in a step-by-step simulation run with our updated extension server of the CPN tools version 4.0.0. The number of constituting processes is parametric in the model and was set to three. We manually fired our selected enabled transition of the model to create this video. </span></p>
The processing results, dataset and original codes of Coral reef PtCloud segmentation model (based on proposed underwater camera systems)
<p><strong># Data Introduction</strong><br>The proposed camera system includes three operation modes: Surface Mode, Horizontal Mode, and Curved Mode.</p> <ul> <li><strong>Surface Mode</strong>: Provides 3D reconstructions (point cloud), DEM, and orthophoto maps of the seabed (covering a line of 70m in length).</li> <li><strong>Horizontal Mode</strong>: Provides 3D reconstructions (point cloud and mesh) and orthophoto maps of a single transect line.</li> <li><strong>Curved Mode</strong>: Offers 3D reconstructions (mesh) of various targets, including artificial coral reefs, coral reefs with snails, and coral reefs with starfish.</li> </ul> <p>All mesh results are saved in <code>.FBX</code> format, and point cloud results are saved in <code>.TXT</code> format.</p> <p><strong># Code Introduction</strong><br>The backbone of our point cloud segmentation model is the KPConv model.<br>If you encounter any issues during code deployment, please refer to the original KPConv repository (<a href="https://github.com/HuguesTHOMAS/KPConv" target="_new" rel="noopener">Original Code: https://github.com/HuguesTHOMAS/KPConv</a>).<br>We provide our modified code (customized for our task) along with the complete point cloud dataset.</p>
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.