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120 results for “gan”
FIGURE 2 in Amphisbaena lumbricalis Vanzolini, 1996 is a synonym of Amphisbaena carvalhoi Gans, 1965 (Squamata, Amphisbaenidae)
FIGURE 2. Head in dorsal, lateral, and ventral views, caudal region, and general view of four new examined specimens of A. carvalhoi: (A) UFRN-CH 5143, from Serra das Vacas, Paranatama, Pernambuco; (B) UFRN-CH 4711, from Serra de Santana, Lagoa Nova, Rio Grande do Norte; (C) UFRN-CH 6432, from Serra de Santana, São Vicente, Rio Grande do Norte; (D) UFRNCH 6683, from Fazenda Riacho do Navio, Campina Grande, Paraíba. Scale bars: head = 1 mm; caudal region = 5 mm; general view = 10 mm.
FIGURE 5 in Amphisbaena lumbricalis Vanzolini, 1996 is a synonym of Amphisbaena carvalhoi Gans, 1965 (Squamata, Amphisbaenidae)
FIGURE 5. Living specimens of Amphisbaena carvalhoi: (A) UFRN-CH 4711, from Serra de Santana, Rio Grande do Norte; (B) UFRN-CH 5143, from Serra das Vacas, Pernambuco (tail was damaged at time of collection); (C) UFRN-CH 6683, from Fazenda Riacho do Navio, Paraíba. Photos taken by Matheus Meira-Ribeiro (A) and Raul Fernandes Dantas Sales (B, C).
FIGURE 1 in Amphisbaena lumbricalis Vanzolini, 1996 is a synonym of Amphisbaena carvalhoi Gans, 1965 (Squamata, Amphisbaenidae)
FIGURE 1. Head in dorsal, lateral, and ventral views, and cloacal region of the holotype of Amphisbaena carvalhoi (MNRJ 2095; left) and the holotype of A. lumbricalis (MZUSP 79433; right).
Synthetic micro structure GAN
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Gabriel Turinici : GAN convergence, 2021 ICPR CADL conference.
<p>A short abstract of a talk in the 2021 ICPR CADL conference. The talk discussed the GAN (Generative Adversarial Networks) convergence. The GANS are known to be a good tool used in Generative AI but some theoretical and practical aspects are still research questions. The associated paper is https://arxiv.org/abs/2012.10410</p>
Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions_experimental dataset
<p>This dataset contains the raw unprocessed experimental data for Maniš et al., Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions, https://pubs.rsc.org/en/content/articlelanding/2022/NA/D2NA00175F </p>
Training data and prediction results for predicting water diffusion in various polymers using MD-GAN
<p>Training data and prediction results for predicting water diffusion in various polymers using MD-GAN.</p> <p>MD trajectories used as input, MSDs calculated from MD, predicted MSDs, and diffusion coefficient values.</p> <p>MD trajectories were obtained from the following paper.<br> Kojima, H.; Handa, K.; Yamada, K.; Matubayasi, N. Water Dissolved in a Variety of Polymers Studied by Molecular Dynamics Simulation and a Theory of Solutions. <em>The Journal of Physical Chemistry B</em> 2021, 125, 9357-9371.</p> <p> </p>
Supplementary Materials for "Temperature field, flow field and temporal fluctuations thereof 2 in ammonothermal growth of bulk GaN – transition from dis-3 solution stage to growth stage conditions"
<p>Video S1: dissolution stage (upper part of nutrient and above), Video S2: 630 dissolution stage (baffle region), Video S3: dissolution stage (top seed), Video S4: dissolution stage 631 (middle seed), Video S5: dissolution stage (bottom seed), Video S6: growth stage (upper part of 632 nutrient and above), Video S7: growth stage (baffle region), Video S8: growth stage (top seed), Video 633 S9: growth stage (middle seed), Video S10: growth stage (bottom seed).</p>
Herwig dataset for HadML GAN training
<p>The training data was created using the hadronization cluster model.</p>
GAN, PCA, and Statistical Shape Models for the Creation of Synthetic Craniosynostosis Distance Maps
<p>This dataset is part of the publication "Classification of Craniosynostosis Trained Only On Synthetic Data Using GANs, PCA, and Statistical Shape Models".</p> <p><strong>dataset28.zip</strong> includes 2D distance maps constructed of surface scans of craniosynostosis patients: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly).<br> <br> <strong>synthetic_1000.zip</strong> contains are random 1000 samples per class created from each individual synthetic data source (GAN, PCA, statistical shape model).<br> <br> This repository contains only the images. To synthesize your own data, please use the github repository.</p>
Supplementary material 1 from: Huang X, Gan Y, Wang L, Xu Y, Wei Z, Shi A (2023) The larval, pupal and mitogenomic characteristics of Agrilus adelphinus Kerremans, 1895 (Coleoptera, Buprestidae) from China. ZooKeys 1174: 15-33. https://doi.org/10.3897/zookeys.1174.105479
The larval, pupal and mitogenomic characteristics of Agrilus adelphinus (Coleoptera, Buprestidae) from China
Raw data for publication titled " GaN buffer growth temperature and efficiency of InGaN/GaN quantum wells: The critical role of nitrogen vacancies at the GaN surface"
<p>Raw data (Time-resolved photoluminescence and Secondary Ion Mass Spectrometry) used for the publication: <a href="https://doi.org/10.1063/5.0040326">https://doi.org/10.1063/5.0040326</a></p> <p>Layer sequence of each sample could be found in the excel sheet named SampleLibrary</p> <p> </p>
PK/PD Biosimilarity Study of Gan & Lee Insulin Glargine Injection vs.US & EU Lantus® in Type 1 Diabetes Mellitus Patients
ClinicalTrials.gov study NCT04236895. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PK/PD Biosimilarity Study of Gan & Lee Insulin Lispro Injection vs. EU and US Humalog® in Healthy Males
ClinicalTrials.gov study NCT04235439. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluating the Efficacy and Safety of Yi-Gan San in Children and Adolescents With Tourette's Disorder
ClinicalTrials.gov study NCT03564132. IPD Sharing: NO. Countries: 1. Publications: 12.
PK/PD Study of Gan & Lee Insulin Aspart Injection vs. US & EU NovoLog®/NovoRapid® in Healthy Males
ClinicalTrials.gov study NCT04237129. IPD Sharing: NO. Countries: 1. Publications: 1.
TU 025 Keishi Bukuryo Gan for Post-menopausal Hot Flash Management
ClinicalTrials.gov study NCT00119418. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Study on the optimization of the deposition rate of planetary GaN-MOCVD films based on CFD simulation and the corresponding surface model
Open the record for dataset details and reuse information.
GaN and InGaN nanowires prepared by metal-assisted electroless etching: experimental and theoretical studies
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Figure 7 from: He X-L, Horak E, Wang D, Li T-H, Peng W-H, Gan B-C (2019) Descriptions of five new species in Entoloma subgenus Claudopus from China, with molecular phylogeny of Entoloma s.l. MycoKeys 61: 1-26. https://doi.org/10.3897/mycokeys.61.46446
Figure 7 Microscopic structures of Entoloma byssisedum var. microsporum (SAAS 1279) a Basidiospores b Basidia c Pileipellis.
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.