Find research datasets worth reusing

opencc-zeroJun 2024View details →

Dataset: GAN Limited (GAN) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-by-4.0Aug 2018View details →

Data for article: Understanding the Visible-light Photocatalytic Activity of GaN:ZnO Solid Solution: the Role of Rh2-yCryO3 Cocatalyst and Charge Carrier Lifetimes Over Tens of Seconds

Dataset underlying the publication 'Understanding the Visible-light Photocatalytic Activity of GaN:ZnO Solid Solution: the Role of Rh2-yCryO3 Cocatalyst and Charge Carrier Lifetimes Over Tens of Seconds', published in Chemical Science (doi: 10.1039/C8SC02348D)

opencc-by-4.0Aug 2018View details →

GaN Stripes EBSD

Raw EBSD Data for a GaN thin film sample with changing polarities and crystal structures as published in: Point-Group Sensitive Orientation Mapping Using EBSD. Winkelmann A., Nolze G., Himmerlich M., Lebedev V., Reichmann A. (2016) In: Holm E.A. et al. (eds) Proceedings of the 6th International Conference on Recrystallization and Grain Growth (ReX&GG 2016). Springer. The data was measured by G.Nolze, the sample was provided by V. Lebedev and M. Himmerlich <a href="https://doi.org/10.1007/978-3-319-48770-0_41">https://doi.org/10.1007/978-3-319-48770-0_41</a> The data in <a href="https://zenodo.org/api/files/0f9f0014-75e7-4f63-bf8d-1636448101a8/static_bam_ef.txt?versionId=9ca597c9-edd1-486d-b542-00a5dd1edf72">static_bam_ef.txt </a> is a static EBSD background image (taken from a different experiment with the same detector)

opencc-by-4.0Aug 2024View details →

Dataset for publication: Statistically Equivalent Virtual Microstructures for Modeling of Complex Polycrystalline Alloys Using a Generative Adversarial Network (GAN)-Enabled Computational Platform

This dataset provides the necessary data to get the images and results shown in the paper "Statistically Equivalent Virtual Microstructures for Modeling of Complex Polycrystalline Alloys Using a Generative Adversarial Network (GAN)-Enabled Computational Platform".  Source Data Raw.zip has the entire data set used to generate the images. Source Data.zip contains the processed data  from "Source Data Raw.zip".    Files with extension .dream3d are accompained by a file with extension .xdmf. This files can be opened with Paraview. And their data can be accesible using python or matlab. For more information contact Proffesor Somnath Ghosh at Johns Hopkins University, Civil and Systems Engineering Department.

FIG. 4. — A, B, Sphaerocypraea tardivelae n in Nouveaux taxons et discussion de la systématique des genres correspondants d'Ovulidae (Mollusca, Caenogastropoda) de l'Éocène inférieur de Gan (France)

FIG. 4. — A, B, Sphaerocypraea tardivelae n. sp., vue ventrale et vue latérale externe, holotype (déformé) MNHN-LP n° R63014 (coll. D. Ledon), h. 48,8 mm, Gan (La Tuilerie); C, D, Sphaerocypraea incomparabilis (Briano, 1993), vue ventrale et détail du pli terminal, spécimen USNM, h. 80,3 mm, « off Somalia » (« north-western Indian Ocean »); E, Sphaerocypraea jacksonensis (Johnson, 1899), détail du pli terminal, spécimen MNHN-BIMM (coll. L. & C. Dolin), h. 85 mm, Jackson (Town Creek), Hinds County (Mississippi), détail. Échelles: 5 mm.

FIG. 2 in Nouveaux taxons et discussion de la systématique des genres correspondants d'Ovulidae (Mollusca, Caenogastropoda) de l'Éocène inférieur de Gan (France)

FIG. 2. — Analyse biométrique du rapport entre hauteur et diamètre maximal (A) et du rapport entre hauteur/diamètre maximal et diamètre maximal/nombre de dents labrales (B) chez Cypraea kerniana (Anderson & Hanna, 1925) synonyme junior de Prionovolva (Grovesia) mathewsonii (Gabb, 1869) () et chez P. (G.) ganensis n. sp. ().

FIG. 1. — A-D in Nouveaux taxons et discussion de la systématique des genres correspondants d'Ovulidae (Mollusca, Caenogastropoda) de l'Éocène inférieur de Gan (France)

FIG. 1. — A-D, Prionovolva (Grovesia) ganensis n. sp.; A, B, vue ventrale et vue latérale externe, holotype MNHN-LP n° R63009 (coll. L. & T. Dolin), h. 13,4 mm, Gan (La Tuilerie); C, D, vue ventrale et détail du pli teminal, paratype MNHN-LP n° R63011a (coll. D. Merle), h. 13 mm, Gan (La Tuilerie); E, F, Prionovolva (Prionovolva) nubeculata (Adams, 1854), vue ventrale et détail du pli terminal, spécimen MNHN-BIMM (coll. L. Dolin), h. 18,6 mm, Nouméa (chenal îlot Maître), Nouvelle-Calédonie; G, Habuprionovolva umbilicata (Sowerby, 1849), vue ventrale, spécimen MNHN-BIMM (coll. L. Dolin), h. 9,5 mm, Honshu Isl. (Kii channel), Wakayama Prefecture (Japon). Échelles: 5 mm.

FIG. 5. — A, B, Simnia pacaudi n in Nouveaux taxons et discussion de la systématique des genres correspondants d'Ovulidae (Mollusca, Caenogastropoda) de l'Éocène inférieur de Gan (France)

FIG. 5. — A, B, Simnia pacaudi n. sp., vue ventrale et vue latérale externe, holotype MNHN-LP n° R63015 (coll. J.-M. Pacaud), h. 18,9 mm, Gan (La Tuilerie); C, D, Sandalia vibrayana (Raincourt, 1870), vue ventrale et détail du pli terminal, spécimen MNHN-BIMM (coll. L. Staadt), h. 10,2 mm, Mons-en-Laonnois (hameau des Creuttes), Aisne (France); E, F, Simnia brevirostris (Schumacher, 1817), vue ventrale et détail du pli terminal, spécimen MNHN-BIMM (coll. L. Dolin), h. 21,3 mm, Cebu Isl. (off Punta Engaño), Philippines; G, Phenacovolva angasi (Reeve, 1865), vue ventrale, spécimen MNHN-BIMM (coll. L. Dolin), h. 15,9 mm, Cebu Isl. (off Punta Engaño), Philippines. Échelles: 5 mm.

FIG. 3. — A-C, Luponovula merlei n in Nouveaux taxons et discussion de la systématique des genres correspondants d'Ovulidae (Mollusca, Caenogastropoda) de l'Éocène inférieur de Gan (France)

FIG. 3. — A-C, Luponovula merlei n. sp.; A, B, vue ventrale et vue latérale externe, holotype MNHN-LP n° R63012 (coll. L. & T. Dolin), h. 39 mm, Gan (La Tuilerie); C, vue ventrale reconstituant (tirés) le galbe initial, paratype (comprimé latéralement) MNHN-LP n° R63013 (coll. J.-M. Pacaud), h. 45,5 mm, Gan (La Tuilerie); D, E, Luponovula normalis (Gregorio, 1880), vue ventrale et détail du pli terminal, spécimen (incomplet, pédomorphisé) MNHN-LP n°J 03872 (coll. E. Hébert & E. Munier-Chalmas), h. 46,4 mm, San Giovanni Ilarione (Bosco del Prete), Vicenza (Italie). Échelles: 5 mm.

opencc-by-4.0Apr 2023View details →

GAN-based Synthetic VIIRS-like Image Generation over India

Monthly nighttime lights (NTL) can clearly depict an area's prevailing intra-year socio-economic dynamics. The Earth Observation Group at Colorado School of Mines provides monthly NTL products from the Day Night Band (DNB) sensor on board the Visible and Infrared Imaging Suite (VIIRS) satellite (April 2012 onwards) and from Operational Linescan System (OLS) sensor onboard the Defense Meteorological Satellite Program (DMSP) satellites (April 1992 onwards). In the current study, an attempt has been made to generate synthetic monthly VIIRS-like products of 1992-2012, using a deep learning-based image translation network. Initially, the defects of the 216 monthly DMSP images (1992-2013) were corrected to remove geometric errors, background noise, and radiometric errors. Correction on monthly VIIRS imagery to remove background noise and ephemeral lights was done using low and high thresholds. Improved DMSP and corrected VIIRS images from April 2012 - December 2013 are used in a conditional generative adversarial network (cGAN) along with Land Use Land Cover, as auxiliary input, to generate VIIRS-like imagery from 1992-2012. The modelled imagery was aggregated annually and showed an R2 of 0.94 with the results of other annual-scale VIIRS-like imagery products of India, R2 of 0.85 w.r.t GDP and R2 of 0.69 w.r.t population. Regression analysis of the generated VIIRS-like products with the actual VIIRS images for the years 2012 and 2013 over India indicated a good approximation with an R2 of 0.64 and 0.67 respectively, while the spatial density relation depicted an under-estimation of the brightness values by the model at extremely high radiance values with an R2 of 0.56 and 0.53 respectively. Qualitative analysis for also performed on both national and state scales. Visual analysis over 1992-2013 confirms a gradual increase in the brightness of the lights indicating that the cGAN model images closely represent the actual pattern followed by the nighttime lights. Finally, a synthetically generated monthly VIIRS-like product is delivered to the research community which will be useful for studying the changes in socio-economic dynamics over time.

opencc-by-4.0Nov 2023View details →

Herwig dataset for HadML particle GAN training

These are the simulation data of hadronization using Herwig 7.2.1 Monte Carlo generator, which uses a cluster hadronization model.  They have been used for the HadML particle GAN training and evaluation. Two samples are prepared. One uses a nominal set of hadronization parameters, the other one uses varied parameters which affect both the hadron kinematics and the hadron type distributions. In both samples, each cluster only decays to exactly two hadrons.The code to read the data and use them for training can be found in https://github.com/hep-lbdl/hadml/releases/tag/2.0.0.

opencc-by-4.0Feb 2024View details →

CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification

This refers to the gan-generated dataset for the paper" CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification. Abstract:In recent years, Joint Communication and Sensing (JC&S), has demonstrated significant success, particularly in utilizing sub-6 GHz frequencies with commercial-off-the-shelf (COTS) Wi-Fi devices for applications such as localization, gesture recognition, and pose classification. Deep learning and the existence of large public datasets has been pivotal in achieving such results. However, at mmWave frequencies (30-300 GHz), which has shown potential for more accurate sensing performance, there is a noticeable lack of research in the domain of COTS Wi-Fi sensing. Challenges such as limited research hardware, the absence of large datasets, limited functionality in COTS hardware, and the complexities of data collection present obstacles to a comprehensive exploration of this field. In this work, we aim to address these challenges by developing a method that can generate synthetic mmWave channel state information (CSI) samples. In particular, we use a generative adversarial network (GAN) on an existing dataset, to generate 30,000 additional CSI samples. The augmented samples exhibit a remarkable degree of consistency with the original data, as indicated by the notably high GAN-train and GAN-test scores. Furthermore, we integrate the augmented samples in training a pose classification model. We observe that the augmented samples complement the real data and improve the generalization of the classification model. The repository is available here: https://github.com/nisarnabeel/Dataset-GAN-Augmented-mmWave-CSI-for-improved-pose-classification   Paper Link:https://ieeexplore.ieee.org/document/10646223/

opencc-by-sa-4.0Aug 2023View details →

MOST-GAN Pre-trained Model

Introduction Recent advances in generative adversarial networks (GANs) have led to remarkable achievements in face image synthesis. While methods that use style-based GANs can generate strikingly photorealistic face images, it is often difficult to control the characteristics of the generated faces in a meaningful and disentangled way. Prior approaches aim to achieve such semantic control and disentanglement within the latent space of a previously trained GAN. In contrast, we propose a framework that a priori models physical attributes of the face such as 3D shape, albedo, pose, and lighting explicitly, thus providing disentanglement by design. Our method, MOST-GAN, integrates the expressive power and photorealism of style-based GANs with the physical disentanglement and flexibility of nonlinear 3D morphable models, which we couple with a state-of-the-art 2D hair manipulation network. MOST-GAN achieves photorealistic manipulation of portrait images with fully disentangled 3D control over their physical attributes, enabling extreme manipulation of lighting, facial expression, and pose variations up to full profile view.  To foster further research into this topic, we are publicly releasing our pre-trained model for MOST-GAN. Please see our AAAI paper titled [MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation](https://arxiv.org/abs/2111.01048) for details. At a Glance -The size of the unzipped model is ~300MB. -The unzipped folder contains: (i) a README.md file and (ii) ./checkpoints/checkpoint01.pt pre-trained model. The pre-trained model could be loaded in our publicly released MOST-GAN implementation. Citation If you use the MOST-GAN data in your research, please cite our paper: <pre><code>@inproceedings{medin2022most, title={MOST-GAN: 3D morphable StyleGAN for disentangled face image manipulation}, author={Medin, Safa C and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B and Liu, Xiaoming and Marks, Tim K}, booktitle={Proceedings of the AAAI conference on artificial intelligence}, volume={36}, number={2}, pages={1962--1971}, year={2022} } </code></pre> License The MOST-GAN data is released under <a href="https://creativecommons.org/licenses/by-sa/4.0/">CC-BY-SA-4.0 license</a>. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2022,2023 SPDX-License-Identifier: CC-BY-SA-4.0 </code></pre>

opencc-by-4.0Nov 2021View details →

Kinetics of Guided Growth of Horizontal GaN Nanowires on Flat and Faceted Sapphire Surfaces_experimental dataset

This dataset contains the raw experimental data for the particle Rothman et al., Kinetics of Guided Growth of Horizontal GaN Nanowires on Flat and Faceted Sapphire Surfaces, Nanomaterials 2021, 11(3), 624.

opencc-by-4.0Feb 2022View details →

Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting

OPEN DATA related to the research publication: Sai, P., Potashin, S. O., Szoła, M., Yavorskiy, D., Cywiński, G., Prystawko, P., ... & Kachorovskii, V. Y. (2021). Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting. Physical Review B, 104(4), 045301 [arXiv:2102.12791]. Abstract: We report on the study of the magnetic ratchet effect in AlGaN/GaN heterostructures superimposed with a lateral superlattice formed by a dual-grating gate structure. We demonstrate that irradiation of the superlattice with a terahertz beam results in the direct ratchet current, which shows giant magneto-oscillations in the regime of Shubnikov–de Haas oscillations. The oscillations have the same period and are in phase with the resistivity oscillations. Remarkably, their amplitude is greatly enhanced as compared with the ratchet current at zero magnetic field, and the envelope of these oscillations exhibits large beatings as a function of the magnetic field. We demonstrate that the beatings are caused by the spin-orbit (SO) splitting of the conduction band. We develop a theory which gives a good qualitative explanation of all experimental observations and allows us to extract the SO splitting constant αSO=7.5±1.5 meVÅ. We also discuss how our results are modified by plasmonic effects and show that these effects become more pronounced with decreasing the period of the grating gate structures down to submicrons.

opencc-byJun 2020View details →

Gans

In Gänserndorf colourful plastic geese decorate the town. Here a goose in the national colours of Lower Austria. Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Dec 2023View details →

TwitterGAN dataset: Fake Twitter accounts using GAN-generated faces as profiles

We release the TwitterGAN dataset, which contains 1,420 fake Twitter accounts using GAN-generated faces as their profiles. See https://github.com/osome-iu/fake_gan_accounts for details.