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8,038 results for “validation.”
FIGURE 10 in Species diversity deflation: Insight into taxonomic validity of Garra species (Teleostei: Cyprinidae) from Dhofar Region in the Arabian Peninsula using an integrated morpho-molecular approach
FIGURE 10. Live specimen of Garra smartae from Wadi Hadhabram, Hasik, Dhofar, Oman.
FIGURE 14 in Species diversity deflation: Insight into taxonomic validity of Garra species (Teleostei: Cyprinidae) from Dhofar Region in the Arabian Peninsula using an integrated morpho-molecular approach
FIGURE 14. Live specimen of Garra smartae from Laggashalyon, Dhofar, Oman.
FIGURE 6 in Species diversity deflation: Insight into taxonomic validity of Garra species (Teleostei: Cyprinidae) from Dhofar Region in the Arabian Peninsula using an integrated morpho-molecular approach
FIGURE 6. Live specimen of Garra sindhae from Wadi Andhur, Dhofar, Oman.
FIGURE 15 in Species diversity deflation: Insight into taxonomic validity of Garra species (Teleostei: Cyprinidae) from Dhofar Region in the Arabian Peninsula using an integrated morpho-molecular approach
FIGURE 15. Embedded scales on breast of Garra sindhae and G. smartae.
EUREKA Task 1.3 validation survey analysis
Curated results and analysis of the WP1 validation survey, including the figures for the corresponding deliverable and any resulting publications.
Fig. 6 in Novel data support validity of Phoxinus chrysoprasius (Pallas, 1814) (Actinopterygii, Leuciscidae)
Fig. 6. Phoxinus chrysoprasius (Pallas, 1814), living specimen, spawning male, Angara River, Salhir drainage, 44°51ʹ12ʺ N, 34°18ʹ47ʺ E; 16 Jun. 2003.
FIGURE 9 in How many valid Pleurosicya (Teleostei: Gobiidae) species are known from the Red Sea?
FIGURE 9. Pleurosicya prognatha, Sharm el Sheikh, Egypt, Red Sea. Photo by S.V. Bogorodsky.
FIGURE 8 in How many valid Pleurosicya (Teleostei: Gobiidae) species are known from the Red Sea?
FIGURE 8. Pleurosicya plicata, Shams Alam, southern Egypt, Red Sea. Photo by S.V. Bogorodsky.
FIGURE 3 in How many valid Pleurosicya (Teleostei: Gobiidae) species are known from the Red Sea?
FIGURE 3. Pleurosicya mossambica, SMNH-P 9017, Egypt, Gulf of Aqaba, Red Sea. From Goren (1984).
Spatial Plus Cross-Validation experiments datasets and codes (new)
<p>This rar/zip file includes all materials of Spatial Plus Cross-Validation experiments. </p> <p>They are ordered by the first number of folder's name.</p> <p>In each folder, the order of running code scripts are labeled by the first number of code's name.</p>
Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"
<p>This repository provides additional files for in the publication "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)" by Stefan Dittmar, Aki Sebastian Ruhl and Martin Jekel (DOI: <a href="https://www.doi.org/10.1021/acsestwater.3c00457">10.1021/acsestwater.3c00457</a>) </p><p>It contains:</p><p>- image processing routine for particle tracking written in Python (<strong>1_particle_tracking_algorithm.zip</strong>)<br>- single particle raw data from settling experiments (<strong>2_settling_data.zip</strong>)<br>- single particle data from appyling empirical model for interactions between settling particles (<strong>3_model_results_data.zip</strong>)<br>- additional video & animated graph referenced in publication or SI (<strong>4_videos.zip</strong>)</p>
Supplementary material 1 from: Whelan NV, Strong EE, Gladstone NS, Mays JW (2023) Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae). ZooKeys 1158: 91-120. https://doi.org/10.3897/zookeys.1158.94152
Species information
Supplementary material 2 from: Whelan NV, Strong EE, Gladstone NS, Mays JW (2023) Using genomics, morphometrics, and environmental niche modeling to test the validity of a narrow-range endemic snail, Patera nantahala (Gastropoda, Polygyridae). ZooKeys 1158: 91-120. https://doi.org/10.3897/zookeys.1158.94152
Additional images
FIGURE 1 in The valid publication of the name Malus leiocalyca (Rosaceae)
FIGURE 1. The holotype of Malus leiocalyca S.Z. Huang in Ku & Li (1990).
SEIROB: Validation of the simulated system
<p>Video that shows the validation of SEIROB using only virtual devices</p>
Gamification of Joint Rehabilitation Utilizing Non-Invasive Sensors and Vision-Based Software: Framework Development and Validation
<p>This file contains the video supplementary materials for an MDPI Sensor paper publication.</p>
Training and validation dataset
<p><strong>Hybrid streamflow modelling using machine learning and multi-model combination</strong></p> <p>Global Hydrological model outputs that have been processed and divided into different validation setups in an effort to improve streamflow forecasts. The dataset included the following validation setups: <em> all_stations, elbe, maas, elbe_catch,, maas_catch, rhine_catch, rhine_only, rhine_pcr.</em> The <a href="https://github.com/HassanAli99/ADS_Final_Thesis">GitHub </a>repository contains comprehensive pre-processing instructions.<br> <br> </p>
Validation of E-region Model Electron Density Profiles using High-Resolution Cross Sections
<p>Zenodo Dataset:</p> <ol> <li> <p>Arecibo ISR observation on February 9, 2012</p> </li> <li> <p>COSMIC-1 GPS radio occultation on February 9, 2012</p> </li> <li> <p>Millstone Hills ISR observation on February 16, 2012</p> </li> <li> <p>IRI-2016 output</p> </li> <li> <p>AURIC model outputs</p> </li> <li> <p>Geomagnetic and Solar indices on February 2012</p> </li> <li> <p>Associated python scripts to read and plot data</p> </li> </ol>
Dataset: Predicting and validating the spread of an exotic clonal plant under the current and future climate
<p>This repository contains the files associated with the following article:</p><p>Francisco A. Guerra-Coss, Ernesto I. Badano, Jesus Sandoval-Martínez, Joel Flores, Jorge A. Flores-Cano, Felipe Barragán-Torres, José L. Flores-Flores "Predicting future habitat invasibility for an exotic clonal plant in Mexico using climate niche models validated with field experiments", submitted to <i>Journal of Plant Ecology</i>. </p><p><strong>Supplementary material 01 - Climatic niche model data </strong>is<strong> </strong>a Microsoft Excel file with two spreadsheets. The first spreadsheet contains the presence-only data (latitude and longitude coordinates) used to calibrate the climate niche model of <i>Kalanchoe delagoensis</i> in Mexico, the near-to-present values of the 19 bioclimatic variables associated with these data, and the Spearman correlation coefficients used to select the variables included in the model (selected variables are indicated in green). The second spreadsheet contains the one-thousand random geographic coordinates projected on Mexico used to assess whether climate change will modify habitat invasibility for this plant species. For these geographic coordinates, the corresponding current and future invasibility values (occurrence probabilities) are provided on three time periods (2041-2060, 2061-2081 and 2081-2100) at four radiative forcing levels each (2.6, 4.5, 7.0 and 8.5 W/m2).</p><p><strong>Supplementary material 02 - MaxEnt output summary </strong>is a WinRAR compressed file (*.rar) that contains the summary of the MaxEnt output that support the results of the climate niche model described in the article. For visualizing this information, download and decompress the file and, after that, open the file "<strong>Kalanchoe_delagoensis.html</strong>" in your web browser. </p><p><strong>Supplementary material 03 – Interactive maps </strong>contains<strong> </strong>interactive maps optimized for the latest desktop version of Google Earth which show the invasibility estimations performed with the climate niche model under the current and future climate. These maps are provided in different the folders. The folder "<strong>Current climate</strong>" shows the invasibility of habitats across Mexico for <i>Kalanchoe delagoensis</i> under the current climatic conditions. The following folders contain the invasibility predictions performed transferring the model to the climate change scenarios forecasted for three time periods (2041-2060, 2061-2081 and 2081-2100) at four radiative forcing levels each (2.6, 4.5, 7.0 and 8.5 W/m2). The maps corresponding to climate change scenarios also show the areas classified as climatically unsuitable in the multivariate environmental similarity surface analysis. Further, clicking on the name of each map displays a dialog box that contains the results of the regression analyses conducted to assess relationships between future and current invasibility values. Below this information, the corresponding regression figure is visualized, where the red line is the empirical relationship between variables estimated with the least-squares method, and the solid blue line is the theoretical relationship with intercept = 0 and slope = 1. </p><p><strong>Supplementary material 04 - Plantlet establishment experiment </strong>is a Microsoft Excel file with two spreadsheets that support the experimental results reported in the article. The first spreadsheet contains the microclimatic data (air temperature and rainfall) measured in controls under the current climate and plots in which climate change conditions were simulated (CCS plots) with open-top chambers and rainout shelters. These data are provided over 14-days periods. The second spreadsheet contains the survival data of <i>Kalanchoe delagoensis</i> plantlets in controls and CCS plots. In this spreadsheet, the word "established" indicates that the plantlet survived until the end of the field experiment (24/06/2020).</p>
FIGURE 2 in Validation of Metanephrops serendipitus (Crustacea, Decapoda, Nephropidae), a deep-water lobster from lower Miocene of Meljski hrib (Maribor, Slovenia)
FIGURE 2. Metanephrops serendipitus sp. nov., a composite reconstruction drawing.
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.