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8,038 results for “validation.”
Reference LES Simulations for Ocean Models Validation
<p>All Large-Eddy Simulations (LES) computations are conducted with the open-source PALM solver (<a href="https://palm.muk.uni-hannover.de/trac">https://palm.muk.uni-hannover.de/trac</a>) and version 5.0 of the Los Alamos National Laboratory (<a href="https://github.com/lanl/palm_lanl">https://github.com/lanl/palm_lanl</a>) branch. The simulations use a cubical domain with length L=128m, three grid resolutions (N=128<sup>3</sup>, 256<sup>3</sup>, or 512<sup>3</sup>), and mimic four single-column canonical oceanic regimes in which the surface flux and background stratification profiles are imposed. These simulations are named cooling (c), stratification (s), evaporation (e), and mixed (m):</p> <ul> <li><strong>cooling cases</strong> test different surface heat fluxes: Q<sub>h</sub>=-1.185x10<sup>-5</sup> (c<sub>01</sub>), -2.371x10<sup>-5</sup> (c<sub>02</sub>), -4.742x10<sup>-5</sup> (c<sub>04</sub>), and -18.966x10<sup>-5</sup> (c<sub>16</sub>) [K.m/s]. The background stratification is set through a vertical temperature gradient (T<sub>z</sub>) equal to 0.1 [K/m], and both the salinity surface flux (Q<sub>s</sub>) and the background stratification due to vertical salinity gradient (S<sub>z</sub>) are equal to zero.</li> <li><strong>stratification cases</strong> are similar to the cooling c<sub>02</sub> case, but Q<sub>h</sub>=-2.371x10<sup>-5</sup> [K.m/s], and T<sub>z</sub>=0.01 (s<sub>01</sub>), 0.1 (s<sub>10</sub>), or 0.2 (s<sub>20</sub>) [K/m].</li> <li><strong>evaporation cases</strong> define Q<sub>h</sub>=T<sub>z</sub>=0, S<sub>z</sub>=-0.025 [PSU/m], and Q<sub>s</sub>=3.115x10<sup>-6</sup> (e<sub>01</sub>) or 1.225x10<sup>-5</sup> (e<sub>04</sub>) [PSU/(m<sup>2</sup>.s)].</li> <li><strong>mixed cases</strong> combine heat and salinity surface fluxes, and the background stratification is imposed by both vertical temperature and salinity gradients. There are four mixed cases in which Q<sub>h</sub>=-1.185x10<sup>-6</sup> [K.m/s], T<sub>z</sub>=0.05 [K/m], S<sub>z</sub>=-0.025 [PSU/m], and Q<sub>s</sub> is either 0 (m<sub>01</sub>), 3.115x10<sup>-6</sup> (m<sub>02</sub>), 9.10x10<sup>-6</sup> (m<sub>03</sub>), or 4.55x10<sup>-5</sup> (m<sub>04</sub>) [PSU/(m<sup>2</sup>.s)].</li> </ul> <p>The simulations run 96h at a latitude of 43.29<sup>o</sup>, and utilize a linear equation of state where the reference temperature and salinity are 293.15 K and 35 PSU. The subgrid turbulent scales are modeled through the Moeng and Wyngaard SGS closure (see PALM documentation), and the flow is perturbed during the first 150 s of simulation with normally distributed fluctuations with a maximum amplitude of 10<sup>-4</sup>. The dataset provides 1D and 3D statistics. The 1D profiles are time-averaged during 3600 s and written every 3600 s. The 3D fields are not time-averaged and written every 3600 s, except those obtained with the grid having 512<sup>3</sup> points. In this case, the data are written every 21,600 s. The 3D fields are not in the tar file but can be requested by emailing the authors (fmsoarespereira@lanl.gov). The PALM input decks of the simulations are included in the shared files.<br> <br> <strong>Note:</strong> the PALM version used in this work requires the 1D salinity flux profiles to be normalized by the product of N<sub>x </sub>and<sub> </sub>N<sub>y </sub>(number of grid points in x and y)</p> <p> </p> <p><strong>LA-UR-22-32996</strong></p>
FIGURE 1. Euastacus clydensis Riek, 1969 in Redescription of Euastacus clydensis Riek, 1969 (Crustacea: Parastacidae), a valid species of spiny crayfish from southern New South Wales, Australia
FIGURE 1. Euastacus clydensis Riek, 1969, male holotype (OCL 73.37 mm), Clyde River, NSW, AM P15491: A) dorsal habitus; B) ventral habitus.
Development and validation of an eDNA protocol for monitoring endemic Asian Spiny Frogs in the Himalayan region of Pakistan
<p>Wildlife monitoring programs are instrumental for the assessment of species, habitat status, and for the management of factors affecting them. This is particularly important for species found in freshwater ecosystems, such as amphibians, as they have higher estimated extinction rates than terrestrial species. We developed and validated two species-specific environmental DNA (eDNA) protocols and applied them in the field to detect the Hazara Torrent Frog (<em>Allopaa hazarensis</em>) and Murree Hills Frog (<em>Nanorana vicina</em>). Additionally, we compared eDNA surveys with visual encounter surveys and estimated site occupancy. eDNA surveys resulted in higher occurrence probabilities for both <em>A. hazarensis</em> and <em>N. vicina</em> than for visual encounter surveys. Detection probability using eDNA was greater for both species, particularly for <em>A. hazarensis</em>. The top-ranked detection model for visual encounter surveys included effects of both year and temperature on both species, and the top-ranked occupancy model included effects of elevation and year. The top-ranked detection model for eDNA data was the null model, and the top-ranked occupancy model included effects of elevation, year, and wetland type. To our knowledge, this is the first time an eDNA survey has been used to monitor amphibian species in the Himalayan region.</p>
FIGURE 9 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 9. Garra smartae; a, ZM-CBSU O.16Ga183, 65 mm SL; b, ZM-CBSU O.16Ga186, 55 mm SL; c, ZM-CBSU O.16Ga192, 46 mm SL; Oman: Hasik, Wadi Hadhabram.
FIGURE 13 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 13. Garra smartae; a, ZM-CBSU O.12Ga101, 70 mm SL; b, ZM-CBSU O.12Ga106, 58 mm SL; c, ZM-CBSU O.12Ga104, 41 mm SL; Oman: Dhofar, Laggashalyon.
FIGURE 5 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 5. Garra sindhae; a, ZM-CBSU O.17Gi102, 69 mm SL; b, ZM-CBSU O.17Gi107, 56 mm SL; c, ZM-CBSU O.17Gi113, 50 mm SL; Oman: Wadi Andhur.
FIGURE 8 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 8. Garra smartae; a, ZM-CBSU O.16Ga183, 65 mm SL; b, ZM-CBSU O.16Ga186, 55 mm SL; c, ZM-CBSU O.16Ga192, 46 mm SL; Oman: Hasik, Wadi Hadhabram.
FIGURE 4 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 4. Garra sindhae; a, ZM-CBSU O.17Gi102, 69 mm SL; b, ZM-CBSU O.17Gi107, 56 mm SL; c, ZM-CBSU O.17Gi113, 50 mm SL; Oman: Wadi Andhur.
FIGURE 2 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 2. Maximum Likelihood and Bayesian phylogeny reconstructed based on 629 bp of COI 5' end. The values besides the branches before and after a slash are BI posterior and ML bootstrap probability values, respectively. Black bars right to the specimen labels indicates species delimitation results from PTP followed by the results of the mPTP approach as dashed bars.
FIGURE 11 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 11. Garra smartae; a, ZM-CBSU O.12Ga101, 70 mm SL; b, ZM-CBSU O.12Ga106, 58 mm SL; c, ZM-CBSU O.12Ga104, 41 mm SL; Oman: Dhofar, Laggashalyon.
FIGURE 12 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 12. Garra smartae; a, ZM-CBSU O.12Ga101, 70 mm SL; b, ZM-CBSU O.12Ga106, 58 mm SL; c, ZM-CBSU O.12Ga104, 41 mm SL; Oman: Dhofar, Laggashalyon.
FIGURE 7 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 7. Garra smartae; a, ZM-CBSU O.16Ga183, 65 mm SL; b, ZM-CBSU O.16Ga186, 55 mm SL; c, ZM-CBSU O.16Ga192, 46 mm SL; Oman: Hasik, Wadi Hadhabram.
FIGURE 3 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 3. Garra sindhae; a, ZM-CBSU O.17Gi102, 69 mm SL; b, ZM-CBSU O.17Gi107, 56 mm SL; c, ZM-CBSU O.17Gi113, 50 mm SL; Oman: Wadi Andhur.
FIGURE 1 in On the validity and distribution of Myxobolus curemae Vieira, Agostinho, Negrelli Silva, Azevedo and Abdallah, 2022 (Myxozoa: Bivalvulida) from a new record on the coast of southeastern Brazil
FIGURE 1. Mature myxospores of Myxobolus curemae Vieira, Agostinho, Negrelli, Silva, Azevedo and Abdallah, 2022 from white mullet Mugil curema Valenciennes, 1836 on the coast of the State of Rio de Janeiro, Brazil. A–B. Frontal view; C. Lateral view. Bar = 5 μm.
Shock Induced Dilation - Validation data
<p>Input files needed for running shock simulations in LIGGGHTS as well as the results of a single granular shock run. Full description is provided in Frizzell and Hartzell, 2023 - Simulation of Shock Induced Inertial Dilation at the Surface of an Unconfined Granular Assembly</p>
Benchmark dataset for verification and validation of elPaSo Core module
<p>This dataset contain the set of vibroacoustic benchmark problems for verification and validation of the FEM research code "elPaSo Core".</p>
Case studies from doubleHelix: nucleic acid sequence identification, assignment and validation tool for cryo-EM and crystal structure models
<p>Case studies from "doubleHelix: nucleic acid sequence identification, assignment and validation tool for cryo-EM and crystal structure models"</p>
Case studies from: Sequence assignment validation in protein crystal structure models with checkMySequence
<p>Case studies from "Sequence assignment validation in protein crystal structure models with checkMySequence"</p>
FIGURE 1 in Names validly published in Kalanchoe (Crassulaceae subfam. Kalanchooideae) by Louis-René 'Edmond' Tulasne in 1857, with reference to names proposed in sched. by Hilsenberg and Bojer for two Malagasy species, and with notes on the type of the name K. tubiflora
FIGURE 1. Kalanchoe pinnata. In Tulasne (1857: 148) K. pinnata was included under the name Bryophyllum calycinum (see main text for a discussion). A. Leaf with plantlets developing along the margin. B. Inflorescence. Photographs: Gideon F. Smith.
FIGURE 1. Kalanchoe porphyrocalyx. A in A reassessment of combinations previously proposed or published for Kalanchoe subg. Alatae (Crassulaceae subfam. Kalanchooideae), and its valid publication at the rank of subgenus
FIGURE 1. Kalanchoe porphyrocalyx. A. Close-up of foliage and flowers. B. Corolla segments viewed from the mouth, i.e., from above. Note the burgundy red sepals. Both photographs by Gideon F. Smith.
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.