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1,760 results for “phase 2”
(A) Phase 1 and 2 Non-Ionising Radiation and Frequency Data Files
<p>The data files for all nine locations measured using the tinyUltra Spectrum Analyser (TUSA) . The file names starting with "Location" are data files for Phase 1 and the file names starting with "L" are data files for Phase 2.</p>
B2-InF Video #2: Phase 1 - the Journey
<p>The video summarises the effort and results of Stage 1 of the project. Watch our project coordinator Prof. Francisco Güell, and project partners Anna Dostalova and Michaela Novotná from Medistella, explain the Phase 1 Journey</p> <p>More information at: https://b2-inf.eu/b2-inf-phase-1-the-journey/</p>
acoustic data phase 2
<p>Acoustic data phase 2</p>
Fig 2 in Nutritional characteristics and costs of diets based on fish, spirulina, maggot and earthworm meals at the larval phase of rearing tilapia Oreochromis niloticus
Fig 2: Maggot
Intermediate field-induced phase of the honeycomb magnet BaCo2(AsO4)2
Open the record for dataset details and reuse information.
Modelling Amorphization and Dissolution of Zr(Fe,Cr)2 Secondary Phase Precipitates in Zircaloys
<p>Data and accompanying paper "Modelling Amorphization and Dissolution of Zr(Fe,Cr)2 Secondary Phase Precipitates in Zircaloys" J. D. Robson, Journal of Nuclear Materials</p>
Figure 2. Stylopallene longicauda, A, B, male dorsal and lateral views of trunk; C, male carrying juveniles, D, mating pair, male dorsal; E, swimming; F, plummeting on completion of the swimming phase.
Figure 2. Stylopallene longicauda, A, B, male dorsal and lateral views of trunk; C, male carrying juveniles, D, mating pair, male dorsal; E, swimming; F, plummeting on completion of the swimming phase.
Microscopic mechanism of the L1_2–D0_19 phase transformation in a Co-base single crystal superalloy
<p>This record contains datasets related to the publication:</p> <p>N. Karpstein et al., Microscopic mechanism of the L1<sub>2</sub>-D0<sub>19</sub> phase transformation in a Co-base single crystal superalloy, Acta Materialia (2024), <a href="https://doi.org/10.1016/j.actamat.2024.120416" target="_blank" rel="noopener">doi:10.1016/j.actamat.2024.120416</a>.</p> <p>A readme file containing descriptions of datatypes can be found in the main folder.</p> <p> </p> <p>Abstract:</p> <p>In γ′-strengthened superalloys based on the Co-Al-W system, the stability of the γ′ phase is often limited, as it is found to transform into other phases such as B2 and D0<sub>19</sub> after long-term annealing. To explore the details behind the annealing-induced transformation from the metastable L1<sub>2</sub>-γ′ phase to the thermodynamically stable D0<sub>19</sub>-χ phase in the single-crystalline Co-base superalloy ERBOCo-VF60 (Co<sub>79.8</sub>Al<sub>8.9</sub>W<sub>9.0</sub>Ta<sub>2.3</sub> in at.%), scanning transmission electron microscopy and atom probe tomography are employed. Due to the structural similarity between the L1<sub>2</sub> and D0<sub>19</sub> structures, coherent plate-shaped χ precipitates are formed in the γ/γ′ microstructure parallel to {111} planes through a shear-based transformation mechanism. While the χ phase precipitates slowly during isothermal aging, its formation can be significantly accelerated locally by coating the superalloy with a Cr-rich layer, which indirectly stabilizes the χ phase as revealed by thermodynamic calculations. This procedure allowed us to obtain an intermediate (incomplete) state of χ-phase formation in terms of both crystal structure and composition. By characterizing the partial dislocations at the tip of growing χ precipitates, the microscopic details of the shear-based cubic-to-hexagonal transformation from L1<sub>2</sub> to D0<sub>19</sub> are uncovered. The compositional aspect of the transformation involves a significant diffusion-mediated enrichment of W in the χ phase, accompanied by a simultaneous W depletion in the γ′ phase, leading to its transformation to the γ phase.</p>
Phases in the 2-Dimensional Falicov-Kimball Model
<h2>Introduction</h2> <p>The dataset consists of a subset of 1,467,059 configurations obtained using Monte Carlo (MC) simulations of the Falicov-Kimball Model (FKM) on a 2-dimensional 12x12 square lattice with periodic boundary conditions.</p> <p>The FKM [1,2] is one of the simplest models of interacting fermions that displays a variety of distinct phases and phenomena. It considers two types of particles: itinerant (light) f-electrons and localized (heavy) d-electrons on a lattice. In its spineless version it can be understood as a special limit of the Hubbard model where electrons with one spin species, e.g. spin up, are localized. Its advantage over the Hubbard model is that it is accessible with a sign-problem-free Monte Carlo [3].</p> <p>The main parameters of the FKM are the hopping parameter (t), which defines the mobility of itinerant electrons across neighboring lattice sites, and the interaction parameter (U), which represents the on-site Coulomb repulsion between the itinerant and localized electrons. In our MC simulations, the parameter t has been set to 1, making U the only relevant parameter in the FKM Hamiltonian. Another important parameter in the MC simulations is the temperature (T).</p> <p>Further details of the MC simulations can be found in Ref. [3]. For each pair of U and T values, 20 independent MC simulations have been run, each producing 500 configurations. To keep the configurations in the dataset uncorrelated, just a subset as large as 5% of all the produced configurations has been randomly selected for further analysis.</p> <p>The dataset can be used to train unsupervised machine learning models for phase classification or supervised regression models for predicting simulation parameters.</p> <h2>Dataset Structure</h2> <p>The dataset consists of two CSV files:</p> <ul> <li> <strong>fkm_data.csv:</strong> Contains 1,467,059 configurations taken at various values of U (ranging from 0 to 12) and T (ranging from 0.005 up to 0.3). The values of U and T are chosen from a grid where U changes in steps of dU=0.25, and T changes in steps of dT=0.005. Multiple independent configurations are provided for each pair of U and T values.</li> <li> <strong>fkm_data_ht.csv:</strong> Contains an additional 342,320 configurations taken at higher temperatures, T, ranging from 0.35 up to 1.0 with a step of dT=0.05. The range and step of U values remain the same as in the previous file. These additional configurations can help regularize training of unsupervised machine learning models.</li> </ul> <p>Each configuration is stored as a row in the attached CSV files. A configuration vector consists of:</p> <ul> <li><strong>144 binary components</strong> (0s and 1s) indicating site occupancy by f-electrons.<br> In the CSV files, these components are named "f1", "f2", ..., "f144", where the number denotes the site.</li> <li><strong>144 float components</strong> (between 0 and 1) indicating the electron density of d-electrons.<br> In the CSV files, these components are named "d1", "d2", ..., "d144," where the number denotes the site.</li> <li><strong>2 float components</strong> specifying the corresponding values of U and T. <br>These values are in columns labeled "U" and "T," respectively.</li> </ul> <p>The values of U and T are given in units of the hopping parameter t.</p> <p>An accompanying Jupyter notebook, <strong>load_fkm_data.ipynb</strong>, demonstrates how to load the data and view its structure.</p> <h2>References</h2> <p>[1] J. Hubbard, Proc. Royal Soc. Lond. A 276, 238 (1963).<br>[2] L. M. Falicov and J. C. Kimball, Phys. Rev. Lett. 22, 997 (1969).<br>[3] M. M. Maśka and K. Czajka, Phys. Rev. B 74, 035109 (2006).</p>
Cubic, hexagonal and tetragonal FeGex phases (x = 1, 1.5, 2): Raman spectroscopy and magnetic properties
<p>Raw data associated to the manuscript “Cubic, hexagonal and tetragonal FeGe<sub>x</sub> phases (x = 1, 1.5, 2): Raman spectroscopy and magnetic properties", <em>CrystEngComm</em> 2021, XXXX, XXX, XXX-XXX</p> <p>Abstract:</p> <p>There is currently an emerging drive to computational materials design and fabrication of the predicted novel materials. One of the keys for developing appropriate fabrication methods is determination of the composition and phase. Here we explore the FeGe system and establish reference Raman signatures for the distinction between the FeGe hexagonal and cubic structures, as well as FeGe<sub>2</sub> and Fe<sub>2</sub>Ge<sub>3</sub> phases. The experimental results are substantiated by first principles lattice dynamics calculations as well as by complementary structural characterizations such as transmission electron microscopy and X-Ray diffraction, along with the magnetic measurements.</p>
Sri Ksetra, Bago, Myanmar. Map of Sri Ksetra, phase 2.
<p>Sri Ksetra, Bago, Myanmar. Map of Sri Ksetra, phase 2.</p>
DMID14-0100: A randomized, controlled Phase 1b trial of the Sm-TSP-2 vaccine for intestinal schistosomiasis ELISA results
<p>Recombinant <em>Schistosoma</em> <em>mansoni</em> Tetraspanin-2 formulated on Alhydrogel (<em>Sm</em>-TSP-2/Alhydrogel) is being developed to prevent intestinal and hepatic disease caused by <em>S</em>. <em>mansoni</em>. The tegumentary <em>Sm</em>-TSP-2 antigen was selected based on its unique recognition by cytophilic antibodies in putatively immune individuals living in areas of ongoing <em>S</em>. <em>mansoni</em> transmission in Brazil, and preclinical studies in which vaccination with <em>Sm</em>-TSP-2 protected mice following infection challenge. </p>
Nivolumab plus ipilimumab in advanced salivary gland cancer: a phase 2 trial
<p>This is a de-identified dataset accompanying the <em>Nature Medicine</em> publication titled "<strong>Nivolumab plus ipilimumab in advanced salivary gland cancer: a phase 2 trial</strong>", by Vos <em>et al. </em>(DOI: https://doi.org/10.1038/s41591-023-02518-x). It contains the clinical features and processed data of 64 patients with salivary gland cancer, treated with nivolumab and ipilimumab immunotherapy. These data underlie results reported in the article. Raw whole-exome and RNA sequencing data generated in this study have been made publicly available at SRA under BioProject number PRJNA940989.</p>
Phase 3 Herniorrhaphy Study for Postoperative Analgesia (EPOCH 2)
ClinicalTrials.gov study NCT03237481. IPD Sharing: Not stated. Countries: 2. Publications: 2.
A Phase 2 Influenza A Challenge Study Following Oral Administration of an H1N1 HA Ad-Vector Seasonal Flu Vaccine
ClinicalTrials.gov study NCT02918006. IPD Sharing: NO. Countries: 1. Publications: 2.
A Phase 2 Study to Evaluate Efficacy and Safety of AL002 in Participants With Early Alzheimer's Disease
ClinicalTrials.gov study NCT04592874. IPD Sharing: UNDECIDED. Countries: 12. Publications: 2.
Phase 2 STIR Trial: Haploidentical Transplant and Donor Natural Killer Cells for Solid Tumors
ClinicalTrials.gov study NCT02100891. IPD Sharing: Not stated. Countries: 1. Publications: 1.
BG00012 Phase 2 Combination Study in Participants With Multiple Sclerosis
ClinicalTrials.gov study NCT01156311. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Phase 2 Study of BMN 111 to Evaluate Safety, Tolerability, and Efficacy in Children With Achondroplasia
ClinicalTrials.gov study NCT02055157. IPD Sharing: Not stated. Countries: 4. Publications: 3.
A Phase 2 Open-Label Study of the Efficacy and Safety of ABT-199 (GDC-0199) in Chronic Lymphocytic Leukemia (CLL) Subjects With Relapse or Refractory to B-Cell Receptor Signaling Pathway Inhibitor The
ClinicalTrials.gov study NCT02141282. IPD Sharing: YES. Countries: 1. Publications: 3.
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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.