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1,423 results for “separation”
Data for "A promiscuous mechanism to phase separate eukaryotic carbon fixation in the green lineage"
<p>This repository contains all raw data associated with the manuscript:</p> <p>"<em><strong>A promiscuous mechanism to phase separate eukaryotic carbon fixation in the green lineage</strong></em>"</p> <p> </p> <p>The files are organised according to their appearance as figures in the manuscript.</p> <p>Within each of the zipped figure folders is a <strong>_readme.txt</strong> file that contains information about the raw data provided for each figure.</p>
Qualitative Data on Effects of Early and Prolonged Parent-Child Separation: Understanding Mental Health of Separated-Reunited Chinese American Children
<div> <div> <div> <div>Early and prolonged parent-child separation due to parental migration or immigration may result in attachment disruption that can threaten the long-term mental health and functioning of affected children, and these risks can persist following reunification and through adulthood. Although sending infants back to the home country for rearing is often practiced among <em>Chinese</em> immigrants, especially low-income families, research has been sparse in understanding the long-term impact of early and prolonged parent-child separation and reunification on disparities in mental health and functioning among separated-reunited children and the mechanism through which such relationships may operate.</div> <div>Funded by National Institute on Minority Health and Health Disparities (NIMH), we collected semi-structured interview data from 24 parent-child dyads who have experienced separation. The data included interview scrpits with primary coding to understand the mental health impacts, risk/protective factors, and service needs among separated-reunited <em>Chinese</em> American children.</div> </div> </div> </div> <div> </div>
PhasAGE Training School 1 - Computational prediction and databases of protein phase separation - PRACTICAL
<p>The Training School 1 <strong>“Computational Methods to Study Protein Phase Separation”</strong> is the first edition of a series of PhasAGE training activities.</p> <p>The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of <strong>Phase Separation</strong>, its role in biological processes and diseases. In addition, the course will provide <strong>an overview of the available computational resources</strong> to navigate this knowledge. Participants will have <strong>hands-on training</strong> in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.</p>
PhasAGE Training School 1 - Phase separation in diseases - LECTURE
<p>The Training School 1 <strong>“Computational Methods to Study Protein Phase Separation”</strong> is the first edition of a series of PhasAGE training activities.</p> <p>The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of <strong>Phase Separation</strong>, its role in biological processes and diseases. In addition, the course will provide <strong>an overview of the available computational resources</strong> to navigate this knowledge. Participants will have <strong>hands-on training</strong> in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.</p>
PhasAGE Training School 1 - Computational prediction and databases of protein phase separation Overview- LECTURE
<p>The Training School 1 <strong>“Computational Methods to Study Protein Phase Separation”</strong> is the first edition of a series of PhasAGE training activities.</p> <p>The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of <strong>Phase Separation</strong>, its role in biological processes and diseases. In addition, the course will provide <strong>an overview of the available computational resources</strong> to navigate this knowledge. Participants will have <strong>hands-on training</strong> in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.</p>
PhasAGE Training School 1 - Phase separation in virus-host interactions- LECTURE
<p>The Training School 1 <strong>“Computational Methods to Study Protein Phase Separation”</strong> is the first edition of a series of PhasAGE training activities.</p> <p>The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of <strong>Phase Separation</strong>, its role in biological processes and diseases. In addition, the course will provide <strong>an overview of the available computational resources</strong> to navigate this knowledge. Participants will have <strong>hands-on training</strong> in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.</p>
IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1st Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels
<p>IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1<sup>st</sup> Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels (one panel per stakeholder group, 2 rounds), about the views of stakeholders regarding “This aspect should be considered in the evaluation of new medicines on a common basis” (2019)</p> <p>For details on the Web-Delphi process, see: IMPACT HTA, Work Package 7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2, Deliverable 7.2 (Multi-criteria evaluation framework), Advancing knowledge and MCDA tools to assist HTA agencies in evaluating medicines on a common basis (2021) Oliveira, M.D. (IST), Panos Kanavos (LSE), Bana e Costa, C. (IST)</p>
Dataset for "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos"
<p>Raw datasets used in the paper "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos". Use with the GitHub repository to reproduce results and figures from the referenced paper (https://github.com/clema12/CliffordBernoulli)</p>
Data for 'Grain boundary segregation and phase separation in ceria-zirconia from atomistic simulation'
<p>Data for the article 'Grain boundary segregation and phase separation in ceria-zirconia from atomistic simulation', including input and output files for simulations, and scripts to perform data analysis and generate figures.</p>
First Speech Separation Challenge
<p>The first international Speech Separation Challenge took place in 2006, with results disseminated at Interspeech in Pittsburgh and later in a special issue of Computer Speech and Language (volume 24, 2010). The main focus of the challenge was to compare algorithms and human listeners on the task of identifying words in sentences from one talker when mixed with similar utterances from another talker, using a single channel (i.e., operating monaurally). Development and test data was also provided for a stationary noise masking condition. For technical details and a summary of the outcome of the Challenge, see the article by Cooke, Hershey and Rennie (pp 1--15) of the special issue (available as cooke_csl2010.pdf in this dataset). </p> <p>The current dataset consisted of the following zip files:</p> <p>twotalker_dev.zip two-talker development set<br> twotalker_test.zip two-talker test set<br> 1.zip, 2.zip etc training data for each of 34 talkers (500 sentences each)<br> ssn_dev.zip speech-shaped noise (SSN) development set<br> ssn_test.zip SSN test set<br> <br> The Challenge was funded by the EU Network of Excellence PASCAL (Pattern Analysis, Statistical Modeling and Computational Learning) </p>
Figure 4 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 4. Elytral sculpture of Onthophagus fracticornis (a, b) and O. massai (c, d), to show the prominent presetal granules of the interstices in O. fracticornis (white-bordered black arrow) and the prominent perisetal punctures in O. massai (white arrow). a, modern, Šar Planina, Macedonia; b, Bronze Age, Wilsford, Wiltshire, England, age about 4000 years; c, modern, Parco dei Nebrodi, Sicily; d, Last Interglacial, Trafalgar Square, London, age about 120,000 years.
Figure 3 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 3. Mitotic chromosomes of Onthophagus fracticornis (a – l) and O. massai (m, n), arranged as karyotypes. a, c, e, g, i, k, m, plain, b, d, f, h, j, l, n, the same nuclei C-banded. a, b, Spain; c, d, England; e, f, Macedonia, Šar Planina; g, h, Macedonia, Mavrovo National Park, with one B-chromosome and autosome 5 heterozygous for a pericentric inversion; i, j, Czech Republic; k, l, Italy; m, n, Sicily, Piano Zucchi.
Figure 2 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 2. Mitotic chromosomes of Copris hispanus hispanus (a, b) and C. h. cavolinii (c, d) arranged as karyotypes. a, c, plain, b, d, the same nuclei C-banded.
A Post-separation Social Accounting Matrix for the Sudan
<p>A detailed Social Accounting Matrix for the Sudan. Data includes 57 commodity, 64 activity, 14 production factor and 10 households accounts. Currency: Sudanese Pound (SDG)</p>
NUMERICAL INVESTIGATION OF CONDENSING FLOWS IN A SUPERSONIC SEPARATOR A LOW PRESSURE.
<p>As a contribution to overcoming the challenges of numerical simulation involving the phenomenon of condensation, this work aims to investigate the nucleation of simple molecules, through the classical nucleation theory (CNT) associated with the Hill’s Moments (MoM) models . The main objective of this simulations was to investigate the numerical precision of the CFD open source code - Stanford University Unstructured(SU2) - to correctly capture the occurrence of a condensation wave, and to analyze thenucleation of liquid droplets through the moments of order zero to three</p>
Figure 2 in Morphological and molecular separation between Macrocamptoptera grangeri Soyka and M. metotarsa (Girault) (Hymenoptera: Mymaridae)
Figure 2. Macrocamptoptera grangeri, female (Mt. Kudigora, Lagodekhi Nature Reserve, Georgia): (a) habitus (in ethanol); (b) antenna; (c) body; (d) fore wing.
Figure 1 in Morphological and molecular separation between Macrocamptoptera grangeri Soyka and M. metotarsa (Girault) (Hymenoptera: Mymaridae)
Figure 1. Macrocamptoptera grangeri, female: (a) habitus (holotype of Herulia sundholmi); (b) labels (same as (a)); (c) antenna (Banská Štiavnica, Banská Bystrica Region, Slovakia).
Figure 4 in Morphological and molecular separation between Macrocamptoptera grangeri Soyka and M. metotarsa (Girault) (Hymenoptera: Mymaridae)
Figure 4. Macrocamptoptera metotarsa, female: (a) habitus, in ethanol (Columbus, Franklin Co., Ohio, USA); (b) antenna (Camp Maxey Texas Army National Guard training facility area, Lamar Co., Texas, USA); (c) fore and hind wings (same as (b)).
Pressure-driven Poiseuille flow inherited from Mesozoic mantle circulation led to the Eocene separation of Australia and Antarctica
<p>Mantle temperature field at 60 Ma and at a random distribution for TERRA and numerical grids for SHELLS.</p> <p> </p>
FIGURES 46 - 47 in Haplohyphes (Ephemeroptera: Leptohyphidae), new species and stage descriptions with a key to separate the species of the genus
FIGURES 46 - 47. Haplohyphes yanahuicsa sp. nov.: 46, general view of male imago; 47, general view of nymph.
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.