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ShareScore release 0.9.0
Dataset results
51 results for “Vegan”
Datasets of "Differences in the stool metabolome between vegans and omnivores: analyzing the NIST stool reference material" publication
<p>To gain confidence in results of omic-data acquisitions, methods must be benchmarked by validated quality control materials. We here report data combining both untargeted and targeted metabolomics assays for the analysis of four new human fecal reference materials developed by the U.S. National Institute of Standards and Technologies (NIST) for metagenomics and metabolomics measurements. These reference grade test materials (RGTM) were established by NIST based on two different diets and two different samples treatments: homogenized fecal matter from subjects eating vegan diets, stored and submitted in either lyophilized (RGTM 10162) or aqueous form (RGTM 10171); secondly, homogenized fecal matter from subjects eating omnivore diets, stored and submitted in either lyophilized (RGTM 10172) or aqueous form (RGTM 10173). We used four untargeted metabolomics assays (lipidomics, primary metabolites, biogenic amines and polyphenols) and one targeted assay on bile acids.</p>
Philosphical papers reviewed and scored for their compliance with a vegan ethic 1975-2020
<p>This is the updated dataset to complement the submitted manuscript "<strong>Has the philosophical case for animal liberation been proved? A systematic and narrative review of the philosophical literature 1975-2020."</strong></p>
NutriGreen Image Dataset: A Collection of Annotated Nutrition, Organic, and Vegan Food Products
<p>The generated dataset is an annotated collection, with each image carrying labels (NutriScore, V-label and Bio). The presence of annotated data is essential for developing a supervised machine-learning model capable of automatically identifying labels in new images. In our case, we utilize this data to train a model that can autonomously recognize labels on new images not present in the dataset, achieving a model accuracy of 94%. In the future, you have the option to train a new model using the dataset to achieve higher accuracy or employ the existing model to automatically identify bio and nutri labels in newly collected images, eliminating the need for manual review. We should emphasize that these resources should be utilized by a data science team. There is an opportunity for this model to be integrated with a mobile app, but this is a direction for future work, we included in the revised version.</p> <p>In this research, we introduce the NutriGreen dataset, which is a collection of images representing packaged food products. Each image in the dataset comes with three distinct labels: one indicating its nutritional value using the Nutri-Score, another denoting whether it's vegan or vegetarian with the V-label, and a third displaying the EU organic certification (BIO) logo. The dataset comprises a total of 10,472 images. Among these, the Nutri-Score label is distributed across five sub-labels: A with 1,250 images, B with 1,107 images, C with 867 images, D with 1,001 images, and E with 967 images. Additionally, there are 870 images featuring the V-Label, 2,328 images showcasing the BIO label, and 3201 images with no labels. Furthermore, we have fine-tuned the YOLOv5 model to demonstrate the practicality of using these annotated datasets, achieving an impressive accuracy of 94.0%. These promising results indicate that this dataset has significant potential for training innovative systems capable of detecting food labels. Moreover, it can serve as a valuable benchmark dataset for emerging computer vision systems.</p> <p> </p> <p> </p>
Low Fat Vegan or American Heart Association Diets & Cardiovascular Risk in Obese 9-18 y.o. With Elevated Cholesterol
ClinicalTrials.gov study NCT01817491. IPD Sharing: NO. Countries: 1. Publications: 19.
The Effect of a 12-week Self-composed Vegan Diet With or Without Concurrent Resistance Exercise on Thigh Muscle Volume in Older Adults
ClinicalTrials.gov study NCT05809466. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Improvement of the Selenium Supply in a Vegan Diet by Different Selenium Sources
ClinicalTrials.gov study NCT05814874. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of a Vegan Diet Versus a Mediterranean Diet. Assessing Health Outcomes
ClinicalTrials.gov study NCT06008886. IPD Sharing: NO. Countries: 1. Publications: 2.
Validation of Plant-Based Vegan Meal for Gastric Emptying Testing in 10 Healthy Subjects
ClinicalTrials.gov study NCT06991036. IPD Sharing: NO. Countries: 1. Publications: 0.
Microbiota and Lipedema Evaluation in Obese Patient Treated With Very Low Energy Ketogenic Vegan Therapy
ClinicalTrials.gov study NCT07041684. IPD Sharing: NO. Countries: 1. Publications: 3.
Nutraceutical Supplement With Vegan Botanicals in Females With Self-Perceived Thinning Hair
ClinicalTrials.gov study NCT05332743. IPD Sharing: NO. Countries: 1. Publications: 1.
Influencing a Vegan Diet and the Intake of Dietary Supplements During Pregnancy and Childhood
ClinicalTrials.gov study NCT06669819. IPD Sharing: NO. Countries: 1. Publications: 25.
The Effects of an 8-week Vegan Diet on TMAO Levels and Post-challenge Glucose Levels in Individuals With Dysglycaemia
ClinicalTrials.gov study NCT03315988. IPD Sharing: NO. Countries: 1. Publications: 1.
Efficacy of a Training Program in Adults Following a Vegan Diet Versus an Omnivorous Diet
ClinicalTrials.gov study NCT06423209. IPD Sharing: NO. Countries: 1. Publications: 6.
Personality Profiles, Values and Empathy: Differences Between Ovo/Lacto-vegetarians and Vegans
ClinicalTrials.gov study NCT02055677. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Microbiota and Related Metabolome in Omnivore, Vegetarian or Vegan Diets
ClinicalTrials.gov study NCT02118857. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Development and Evaluation of a Web-based Diet Quality Screener for Vegans - BELGIUM
ClinicalTrials.gov study NCT06861205. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of Creatine Supplementation on Physical Performance in Vegan Subjects
ClinicalTrials.gov study NCT06483321. IPD Sharing: NO. Countries: 1. Publications: 0.
Vegan Whey Protein for Muscle Anabolism and Post-exercise Recovery
ClinicalTrials.gov study NCT07119749. IPD Sharing: NO. Countries: 1. Publications: 0.
Vegan Diets: the Short-term Effects on Daily Muscle Protein Synthesis Rates as Compared to Omnivorous Diets in Older Adults Assessed by D2O.
ClinicalTrials.gov study NCT05624333. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Effect of a Low-fat Vegan Dietary Intervention on Intracellular Lipid, Insulin Sensitivity, and Glycemic Control in Type 2 Diabetes
ClinicalTrials.gov study NCT06106035. IPD Sharing: NO. Countries: 1. Publications: 10.
ScienceDex guides
Understand access before you commit
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.