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2,031 results for “transformation”
Figure 3 in What causes transformation of the parasitic copepod? A new example of host switching in the family Anthessiidae (Cyclopoida) from Singaporean waters, with the proposal of a new genus
Figure 3. Merlionia zeeae, adult female, holotype (ZRC 2023.0305). A, left antennule, anterior. B, same, distal portion, anterior. C, left antenna, anterior. D, same, distal portion, frontal. E, labrum, anterior. F, left mandible, posterior. G, right maxillule, posterior. H, right maxilla, posterior. I, labium, posterior. Scale bars: A, I, 100 μm; B, G, H, 30 μm; C, E, 50 μm; F, H, 40 μm.
Metabolic transformation of gentiopicrin, a liver protective active ingredient, based on intestinal bacteria
<p>Gentiopicrin is the main component of the famous Chinese patent medicine Long Dan Xie Gan Wan, and belongs to iridoid glycoside with a variety of pharmacological activities, such as liver protection, liver damage prevention. However, it has been reported that gentiopicrin is quickly absorbed <em>in vivo</em> and has low bioavailability in mice. As we known, the types of metabolic reactions of intestinal bacteria are different from that of liver metabolism, and intestinal bacteria play an important roles for the efficacy of compounds with low oral bioavailability. Thus, it is necessary to better understand the metabolic pathway of gentiopicrin.</p> <p>In the work, we adopted the co-incubation system of intestinal bacteria and gentiopicrin. Six metabolites were analyzed and identified, which includes aglycone reduction product (G-M1 and G-M2), aglycone hydrolysis product (G-M3), erythrocentaurin reduction product (G-M4 and G-M6), and dehydration product (G-M5). Three metabolites (G-M3, G-M5 and G-M6) have not been previously reported. We also demonstrated for the first time that G-M1 and G-M2 were chiral metabolites of gentiopicrin by NMR data. Moreover, possible new metabolic pathways of gentiopicrin have been found. Therefore, this study provides a new clue to the type of metabolic reactions and the spectrum of metabolites of gentiopicrin.</p>
Multi-omics data analysis for rare population inference using single-cell graph transformer
<p>## MarsGT: For rare cell identification from matched scRNA-seq (snRNA-seq) and scATAC-seq (snATAC-seq),includes genes, enhancers, and cells in a heterogeneous graph to simultaneously identify major cell clusters and rare cell clusters based on eRegulon.</p> <p>## Data Collection The data was collected using GEO Database.</p> <p>## Data Format The data is stored as TSV file and MTX file where each row represents a gene and each column represents a sample. </p> <p>## Variables - Gene IDs: Gene Symbols (e.g., MALAT1) - Sample IDs: Sample identifiers (e.g., AAACATGCAAATTCGT-1) - Expression level: Row gene expression level.</p>
Data and Code for [Localization of Mechanical and Electrical Defects in Dry-Type Transformers Using an Optimized Acoustic Imaging Approach]
Open the record for dataset details and reuse information.
Transforming Proprietary to High-Level Trigger-Action Programming Rules Dataset
<p>This dataset contains the results of performing Natural Language Processing (NLP) techniques on the May~2017 dataset of Mi et al. (https://www-users.cse.umn.edu/~fengqian/ifttt_measurement/download/201705.tar.gz) using 3 different approaches.</p><p>It comprises folders for each of the approaches (<strong>allennlp, spacy and combined</strong>) as well as folders containing the raw dataset divided into <strong>triggers and actions</strong>. The allennlp and spacy datasets are also divided into (filtered) <strong>triggers and action</strong>s.</p><p>The <strong>allennlp folders</strong> comprise 1 JSON file which shows</p><ul><li>The proprietary trigger or action name - ifttt_name</li><li>The EUPont translation - eupont_hypothesis</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be similar - </i>allen_nlp_entailment</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be contradictory - </i>allen_nlp_contradiction</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be neutral - </i>allen_nlp_neutral</li></ul><p>The <strong>spacy folders</strong> comprise 1 JSON file for each trigger and action which shows</p><ul><li>The EUPont translation</li><li>The proprietary trigger or action name</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be similar</i></li></ul><p>The <strong>combined folder </strong>comprises folders for triggers and actions which comprise 1 JSON file for each trigger and action which shows</p><ul><li>The proprietary trigger or action name - ifttt_name</li><li>The EUPont translation - eupont_hypothesis</li><li>A value for the spacy similarity - spacy_similarity</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be similar - </i>allen_nlp_entailment</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be contradictory - </i>allen_nlp_contradiction</li><li>A value for which the ifttt_<i>name and the eupont_hypothesis may be neutral - </i>allen_nlp_neutral</li><li>A value for the combined similarity -<i> </i>combined_similarity</li></ul>
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation
<p>This dataset contains trained deep learning models and sample data for the manuscript "MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation". Please find the software and more information including tutorials here: https://github.com/MMV-Lab/mmv_im2im.</p><p> </p><p>sample_data.zip includes the following datasets:</p><ul><li>Labelfree prediction of nuclear structure from 2D/3D brighteld images<ul><li>2D<ul><li><a href="https://zenodo.org/record/6139958#.Y78QJKrMLtU">https://zenodo.org/record/6139958#.Y78QJKrMLtU</a></li><li><a href="https://zenodo.org/record/6140064#.Y78YeqrMLtU">https://zenodo.org/record/6140064#.Y78YeqrMLtU</a></li><li>Both repositories have a Creative Commons Attribution 4.0 International License</li></ul></li><li>3D<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li></ul></li><li>2D semantic segmentation of tissues from H&E images<ul><li><a href="https://www.kaggle.com/datasets/sani84/glasmiccai2015-gland-segmentation">https://www.kaggle.com/datasets/sani84/glasmiccai2015-gland-segmentation</a></li><li>"<strong>The dataset used in this competition is provided for research purposes only. Commercial uses are not allowed.</strong><br>If you intend to publish research work that uses this dataset, you must cite our review paper to be published after the competition"</li></ul></li><li>Instance segmentation<ul><li>2D<ul><li><a href="https://bbbc.broadinstitute.org/BBBC010">https://bbbc.broadinstitute.org/BBBC010</a></li><li>Terms of use: <a href="https://bbbc.broadinstitute.org/">https://bbbc.broadinstitute.org/</a></li><li>"Researchers are encouraged to use these image sets as reference points when developing, testing, and publishing new image analysis algorithms for the life sciences."</li></ul></li><li>3D<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li></ul></li><li>Compare semantic segmentation and instance segmentation<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li><li>Unsupervised semantic segmentation<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li><li>Generating synthetic images<ul><li><a href="https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset">https://open.quiltdata.com/b/allencell/packages/aics/hipsc_single_cell_image_dataset</a></li><li>Terms of use: <a href="https://www.allencell.org/terms-of-use.html">https://www.allencell.org/terms-of-use.html</a></li><li>"Your use of the Content, including creation of derivative works of the services, data and tools, must be for research or other noncommercial purposes unless it is otherwise set forth in these Terms or agreed to in writing by the Allen Institute."</li></ul></li><li>Image denoising<ul><li><a href="https://csbdeep.bioimagecomputing.com/scenarios/">https://csbdeep.bioimagecomputing.com/scenarios/</a></li><li>Two datasets: "Denoising in 3D (Planaria nuclei)" and "Denoising in 3D (Tribolium nuclei)"</li><li>Terms of use: <a href="http://csbdeep.bioimagecomputing.com/">http://csbdeep.bioimagecomputing.com/</a></li><li>"The entire CSBDeep toolbox is fully open source and intended to be used from either Python or <a href="https://fiji.sc">Fiji</a>."</li></ul></li><li>Imaging modality transformation<ul><li><a href="https://zenodo.org/record/4624364#.Y9bWOoHMIqJ">https://zenodo.org/record/4624364#.Y9bWOoHMIqJ</a></li><li>Two datasets: "Confocal_2_STED.zip" (Microtubule and Nuclear_Pore_complex)</li><li>Repository has a Creative Commons Attribution 4.0 International License</li></ul></li><li>Staining transformation:<ul><li><a href="https://zenodo.org/record/4751737#.Y9gbv4HMLVZ">https://zenodo.org/record/4751737#.Y9gbv4HMLVZ</a></li><li>Dataset "BC-DeepLIIF_Training_Set.zip" and "BC-DeepLIIF_Validation_Set.zip"</li><li>Repository has a Creative Commons Attribution 4.0 International License</li></ul></li></ul><p> </p>
Construct Validity of a Large Loop Excision of the Transformation Zone (LLETZ) Training Model
ClinicalTrials.gov study NCT02476500. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Transformation of Indigenous Primary Healthcare Delivery
ClinicalTrials.gov study NCT02234973. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Transformative Learning to Virtual Inter-Professional Education in Musculoskeletal Pain
ClinicalTrials.gov study NCT05589311. IPD Sharing: NO. Countries: 1. Publications: 10.
Transformation of Plexiform Neurofibromas to Malignant Peripheral Nerve Sheath Tumors in Neurofibromatosis Type 1
ClinicalTrials.gov study NCT02211768. IPD Sharing: YES. Countries: 1. Publications: 3.
A Virtual Reality Couples' Intervention for Sexual Victimization Prevention: a Gender-swapping Transformative Approach
ClinicalTrials.gov study NCT06839937. IPD Sharing: NO. Countries: 0. Publications: 11.
Transforming Research and Clinical Knowledge in Geriatric Traumatic Brain Injury (TRACK-GERI)
ClinicalTrials.gov study NCT07296783. IPD Sharing: YES. Countries: 1. Publications: 0.
Implementing Mental Health Programs Across Communities in Iowa & Indiana for Transformation
ClinicalTrials.gov study NCT06575894. IPD Sharing: YES. Countries: 0. Publications: 1.
Neuroendocrine Transformation in RB1/TP53 Inactivated NSCLC
ClinicalTrials.gov study NCT06369181. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pivotal Study of Iodine I 131 Tositumomab for Chemotherapy-refractory Low-grade or Transformed Low-grade B-cell Non-Hodgkin's Lymphoma
ClinicalTrials.gov study NCT00989664. IPD Sharing: YES. Countries: 0. Publications: 1.
A Transformational Teaching Intervention: Adolescents in Motion (AIM) Trial
ClinicalTrials.gov study NCT01371292. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Transforming Households With Refraction and Innovative Financial Technology
ClinicalTrials.gov study NCT05510687. IPD Sharing: YES. Countries: 1. Publications: 20.
Transforming Care and Payment Priorities for Vulnerable Families
ClinicalTrials.gov study NCT03416712. IPD Sharing: NO. Countries: 1. Publications: 4.
Large Loop Excision of the Transformation Zone (LLETZ) with Vs Without IntraOperative Application of Lugol's Iodine
ClinicalTrials.gov study NCT05132114. IPD Sharing: YES. Countries: 1. Publications: 13.
Health eHeart BEAT-AFib - Health eHeart Biomarkers of Early Atrial Transformation in Atrial Fibrillation
ClinicalTrials.gov study NCT04404465. IPD Sharing: NO. Countries: 1. Publications: 10.
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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.