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67 results for “PED”
III PhasAGE International Conference - PED in 2024: improving the community deposition of structural ensembles for intrinsically disordered proteins - Lecture
<p>The III PhasAGE International Conference "Multiscale understanding of protein aggregation and biomolecular condensates in aging and disease" brought together members of the PhasAGE consortium as well as outstanding international speakers from multidisciplinary fields dedicated to unraveling the intricacies of protein aggregation and biomolecular condensates in the context of aging and disease. For details on the conference program please see https://phasage.eu/iii-phasage-international-conference/. </p>
FIGURE 1. Amber piece PED 1383 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 1. Amber piece PED 1383 with assemblage of different fossils. A, Overview. B–D. Caddisfly larva morphotype 1, Lepidostomatidae. B, Anterior region of specimen 1. C, Ventral view of specimen 2. D, Another specimen (Caddisfly larva morphotype 1, Lepidostomatidae; specimen 2 from amber piece PED 1383) not seen in overview from this direction. E, F, Non-biting midge larva (Diptera: Chironomidae) sitting on the case of a caddisfly specimen 3. E, Overview. F. Colour-marked version of F. Images obtained with digital microscopy, white transmitted light.
Cryptolacruma nidis (Isopoda: Epicaridea), Kachin amber, PED 0226, µCT scan
<p>Two fossil specimens preserved in Kachin amber (Myanmar, mid-Cretateous), described as <em>Cryptolacruma nidis </em>Schädel, Hörnig, Hyžný & Haug 2021 (https://doi.org/10.1007/s12542-021-00564-9), holotype and paratype, PED 0226, µCT data, 10x objective, 40 kV, 8 W, 4 s exposure time. TIF format, system based calculated pixel size = 1.5 µm.</p>
PEDS-C: Pegylated Interferon +/- Ribavirin for Children With Hepatitis C
ClinicalTrials.gov study NCT00100659. IPD Sharing: YES. Countries: 1. Publications: 9.
Genome wide variations of rice detected by PED
<p>Next generation sequence data of '<a href="https://www.gene.affrc.go.jp/databases-core_collections_wr_en.php" target="_blank" rel="noopener">World Rice Core Collection</a>' and '<a href="https://www.gene.affrc.go.jp/databases-core_collections_jr_en.php" target="_blank" rel="noopener">Rice Core Collection of Japanese Landraces</a>' distributing NARO genebank have been analyzed by the software 'Polymorphic Edge Detection'. This data is an additional supplementary data of <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2955-6" target="_blank" rel="noopener">the PED paper</a>.</p> <p>Polymorphisms between Japonica rice Nipponbare (wrc01) and other cultivars were detected by the PED software. More than 2 million polymorphic loci were detected. </p> <ul> <li>Lists are separated by 12 rice chromosomes.</li> <li>Column order is chromosome number, position, cultivar name, ref, alt, genotype, allele frequency, number of reads, mutation type, gene name, RAP ID, position of nucleotide sequence of gene, position of amino acid sequence of gene, left primer, right primer, amplified size.</li> <li>Accession Numbers of NGS data are listed in Japanese page 'World Rice Core Collection' and in NCBI SRA page 'Rice Core Collection of Japanese Landraces'.</li> <li>The PED software is available at: <a href="https://github.com/akiomiyao/ped" target="_blank" rel="noopener">https://github.com/akiomiyao/ped</a></li> <li>Miyao, A., Kiyomiya, J.S., Iida, K. et al. Polymorphic edge detection (PED): two efficient methods of polymorphism detection from next-generation sequencing data. BMC Bioinformatics 20, 362 (2019). <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2955-6" target="_blank" rel="noopener">https://doi.org/10.1186/s12859-019-2955-6</a></li> </ul>
BME Weights for Non-Phosphorylated and 5-Phosphorylated 4E-BP2 ensembles generated with FastFloppyTail Deposited on the PED
<p>Bayesian Maximum Entropy (BME) weights for NP- and 5P-4E-BP2 ensembles deposited on the Protein Ensemble Database (PED). 5p_100* correspond to weights for the N = 100 5-phosphorylated conformer ensemble, np_1000* correspond to weights for the N = 1000 non-phosphorylated conformer ensemble respectively.</p>
PEDS datasets and figure data
<p>Datasets:</p><ul><li>y_fisher25.csv: reaction-diffusion equation; the thermal flux corresponding to structures with 25 holes</li><li>X_fisher25.csv: reaction-diffusion equation; the side lengths of the 25 holes in the structures</li><li>y_fisher16.csv: reaction-diffusion equation; the thermal flux corresponding to structures with 16 holes</li><li>X_fisher16.csv: reaction-diffusion equation; the side lengths of the 16 holes in the structures</li><li>y_fourier25.csv: diffusion equation; the thermal flux corresponding to structures with 25 holes</li><li>X_fourier25.csv: diffusion equation; the side lengths of the 25 holes in the structures</li><li>y_fourier16.csv: diffusion equation; the thermal flux corresponding to structures with 16 holes</li><li>X_fourier16.csv: diffusion equation; the side lengths of the 16 holes in the structures</li><li>y_maxwell10.csv: Helmholtz equation; the complex transmission through the 10-layered structure</li><li>X_maxwell10.csv: Helmholtz equation; the side lengths of the 10 holes in each layer of the structure followed by a one-hot encoding of the frequency [0.5, 0.75, 1]</li></ul><p>Figure data:</p><ul><li>nb_trainingpoints_Fig1.csv: number of training points in the dataset–x-coordinates (Fig 1, S1, and S2)</li><li>baseline_alFig1.csv: error of the baseline ensemble using a dataset that was generated using active learning (Fig 1, S1, and S2)</li><li>baseline_noalFig1.csv: error of the baseline ensemble using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)</li><li>baseline_single_noalFig1.csv: error of the baseline (single model) using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)</li><li>PEDS_alFig1.csv: error of the PEDS ensemble using a dataset that was generated using active learning (Fig 1, S1, and S2)</li><li>PEDS_noalFig1.csv: error of the PEDS ensemble using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)</li><li>PEDS_single_noalFig1.csv: error of the PEDS (single model) using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)</li><li>SM10_ALFigS1.csv: error of the space mapping ensemble with a resolution of 10 using a dataset that was generated using active learning (Fig S1)</li><li>SM10_noALFigS1.csv: error of the space mapping ensemble with a resolution of 10 using a dataset that was sampled uniformly at random (Fig S1)</li><li>SM10_single_noALFigS1.csv: error of the space mapping (single model) with a resolution of 10 using a dataset that was sampled uniformly at random (Fig S1)</li><li>SM20_single_noalFigS2.csv: error of the space mapping (single model) with a resolution of 20 using a dataset that was sampled uniformly at random (Fig S2)</li><li>SM20_ALFigS2.csv: error of the space mapping ensemble with a resolution of 20 using a dataset that was generated using active learning (Fig S2)</li><li>SM20_noALFigS2.csv: error of the space mapping ensemble with a resolution of 20 using a dataset that was sampled uniformly at random (Fig S2)</li><li>resolutionFigS4.csv: resolution of the middle fidelity model–x-coordinate (Fig. S4)</li><li>error_midfidFigS4.csv: error of the middle fidelity model (Fig. S4)</li></ul>
Safety and Immunogenicity of V114 in Children Infected With Human Immunodeficiency Virus (HIV) (V114-030/PNEU-WAY PED)
ClinicalTrials.gov study NCT03921424. IPD Sharing: YES. Countries: 3. Publications: 1.
Peds Sanofi H1N1 Influenza Vaccine Administered at Two Dose Levels
ClinicalTrials.gov study NCT00944073. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Feasibility of Parasacral Transcutaneous Electrical Nerve Stimulation PTENS for Voiding Dysfunction in Peds Population
ClinicalTrials.gov study NCT04570605. IPD Sharing: NO. Countries: 1. Publications: 2.
BREATHE-Peds Pilot- II III Trial and Post Trial
ClinicalTrials.gov study NCT05832437. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Trial of PDE4 Inhibition With Roflumilast for the Management of Atopic Dermatitis (Integument-PED)
ClinicalTrials.gov study NCT04845620. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Safety, Tolerability, and Immunogenicity of a 3-dose Regimen of V114 in Healthy Infants (PNEU-PED-EU-2/V114-026)
ClinicalTrials.gov study NCT04016714. IPD Sharing: YES. Countries: 5. Publications: 1.
SPARCS_WP3_Espoo_City_SPARCS-WP3 number of promising solutions for PEDs identified in Espoo
<p>Number of promising solutions for PEDs identified during SPARCS Work Package 3 (WP3) work</p>
Peds Metabolic Syndrome in Psoriasis
ClinicalTrials.gov study NCT00930592. IPD Sharing: NO. Countries: 1. Publications: 10.
Continuous vs Intermittent Ketorolac for Pain Control in Peds CV Surgery
ClinicalTrials.gov study NCT04040452. IPD Sharing: NO. Countries: 1. Publications: 12.
Evaluation of the Implementation of PED-t in a Naturalistic Setting
ClinicalTrials.gov study NCT04980781. IPD Sharing: NO. Countries: 1. Publications: 1.
Anterior Femoral and Adductor Canal Nerve Blocks in Peds Knees
ClinicalTrials.gov study NCT06590402. IPD Sharing: NO. Countries: 1. Publications: 12.
Vaccination Coverage Amongst Children/Young People Attending the PED
ClinicalTrials.gov study NCT04485624. IPD Sharing: YES. Countries: 1. Publications: 1.
ST of TN-Salud Con La Familia: Prevent Onset of Ped Obesity
ClinicalTrials.gov study NCT00808431. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.