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1,108 results for “metabolome”

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zenodo32/100

Supporting data and libraries used for statistical analysis for the article: "Targeted metabolomic profiling reveals differences in plasma metabolome of ovalbumin sensitised guinea pigs"

<p>Supporting data and libraries used for statistical analysis for the article: &quot;Targeted metabolomic profiling reveals differences in plasma metabolome of ovalbumin sensitised guinea pigs&quot;</p>

opencc-by-4.0Mar 2019View details →
zenodo32/100

Changes in microbiome and metabolomic profiles of fecal samples stored with stabilizing solution at room temperature

<p>Metabolite profiles of samples stored at room temperature.&nbsp;</p> <p>Fecal samples from three individuals were stored in non-stabilization condition and in OMNIgene.GUT metagenome stabilization solution up to 21 days. Their metabolites were profiled with ultra-performance liquid chromatograph (UPLC) - quadrupole time-of-flight (Q-TOF) mass-spectrometry pipeline on an Acquity UPLC-Q-TOF instrument (Waters, Milford, MA, USA) equipped with an Acquity UPLC BEH C18 column.&nbsp;</p> <p>&nbsp;</p> <p>* MetabolitePeak.xlsx : Metabolite profile</p> <p>* MetabolitePeak.xlsx : Metabolite peak information</p> <p>* Sample.xlsx : Sample preservation condition</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2019View details →
zenodo32/100

Plasma metabolomics of early parenteral nutrition followed with enteral nutrition in pancreatic surgery patients

<p>this dataset contains the original data of metabolomics of each recruited patients in the study and the allocation is presented or available from the author.</p>

opencc-by-4.0Nov 2019View details →
zenodo32/100

Computational Metabolomics - raw data files for a tutorial

<p>20 data files for a tutorial (computational metabolomics). Sample metadata file and the known target list is also available.&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Proteomics data for "Untargeted Spatial Metabolomics and Spatial Proteomics on the Same Tissue Section"

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

Combined transcriptomics and metabolomics analysis reveals the mechanism behind the pollen abortion in early stage among male sterile lines of alfalfa

<p><span>This study investigates early-stage anther development in cytoplasmic male sterile (CMS) alfalfa lines (MSJN1A) compared to their isotypic maintainer line (MSJN1B). Histological analyses revealed abnormal degradation of tapetal cells post-meiosis in the CMS line. Notably, during the early mononuclear stage, the central vacuole in the microspores was absent, leading to evident pollen abortion. These findings suggest that pollen abortion in the CMS line is associated with the delayed disintegration of the tapetum and structural anomalies in microspore vacuoles.</span><span> </span><span>Non-targeted metabolomic sequencing was employed to analyze the early anther metabolites of alfalfa, identifying four hundred and one and four hundred and five metabolites in the late tetrad and early mononuclear stages, respectively. Among these, thirty-nine metabolites were consistently up-regulated, while eighty-eight were down-regulated. Differential analysis revealed forty-five and thirty-seven unique metabolites in each respective stage. These metabolites primarily featured in pathways related to energy, phenylpropane, sucrose and starch, and fatty acid metabolism. Integrated analysis demonstrated that differentially expressed genes (DEGs) and differential metabolites (DMs) were co-enriched in these pathways. Additionally, quantitative real-time PCR and physiological index analysis confirmed the down-regulation of key genes during anther development, illustrating that changes in gene regulation upstream could significantly impact downstream metabolite levels, ultimately influencing pollen fertility.</span></p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

PCOS Combined with Obesity Aggravates the Metabolic and Immune Abnormality in Females Supplement_2_Differentially_expressed_statistics_Metabolomics

<p><span>This table represents the data of Figure 3/4. In this table, we show all the metabolites measured. Meanwhile, we show the anion mode and the cation mode separately, and on this basis, we count the differential metabolites between different combinations of PO/PN/NPN/NPO.<br>Differential metabolites were screened by fold change &amp;gt. 1.5 or less than 0.67.</span></p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Cell-Type Resolved Protein Atlas of Brain Lysosomes Identifies SLC45A1-Associated Disease as a Lysosomal Disorder: Untargeted Metabolomics and Lipidomics Data Deposition

<p>Raw data files used for untargeted metabolomics and lipidomics in the manuscript "Cell-Type Resolved Protein Atlas of Brain Lysosomes Identifies SLC45A1-Associated Disease as a Lysosomal Disorder".</p> <p>The PDF document <strong>(Data_Deposition_Naming_Info.pdf)</strong> contains information on the file naming system.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Microbial Metabolomics of Methanotrophes from Gradient Syringe

<p>Non-targeted metabolomics of organic extracts from methanotropes cultured on agarose in gradient syringe (ambient air vs methane) recorded on Exploris 480</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Age-related differences in gut microbiome and fecal metabolome of captive African penguins (Spheniscus demersus)

<p><span>The code applied for the study: "Age-related differences in gut microbiome and fecal metabolome of captive African penguins (Spheniscus demersus)".</span></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Metabolomics of Tomato Plants Inoculated with Beneficial Bacteria and Infected with Pathogen Alternaria solani

<p>Image foles of Metabolomics data generated on tomato inoculated with bacteria and infected with pathogen using LC-ESI-MS/MS.</p>

opencc-by-4.0Nov 2024View details →
dryad32/100

Metabolomic Analysis of the Effects of Leptin Replacement Therapy in Patients with Lipodystrophy

<p>Context and Objective </p><p>Leptin treatment has dramatic clinical effects on glucose and lipid metabolism in leptin-deficient patients with lipodystrophy. Further elucidation of metabolic effects of exogenous leptin therapy will shed light on understanding leptin physiology in humans. Our objective was to utilize metabolomic profiling to examine the changes associated with administration of short-term metreleptin therapy in patients with lipodystrophy.</p> Study Design <p>We conducted a pre-post treatment study in 19 patients (75% female) with varying forms of lipodystrophy (congenital generalized lipodystrophy, n=10; acquired generalized lipodystrophy, n=1; familial partial lipodystrophy, n=8) who received daily subcutaneous metreleptin injections for a period of 16 - 23 weeks. A 3-hour oral glucose tolerance test and body composition measurements were conducted before and after the treatment period, and fasting blood samples were used for metabolomic profiling. The study outcome aimed at measuring changes in physiologically relevant metabolites pre- and post- leptin therapy.</p> Results <p>Metabolomic analysis revealed changes in pathways involving branched-chain amino acid metabolism, fatty acid oxidation, protein degradation, urea cycle, tryptophan metabolism, nucleotide catabolism, vitamin E, and steroid metabolism. Fold-changes in pre- to post-treatment metabolite levels indicated increased breakdown of fatty acids, branched chain amino acids proteins, and nucleic acids.</p> Conclusions <p>Leptin replacement therapy has significant effects on important metabolic pathways implicated in patients with lipodystrophy. Continued metabolomic studies may provide further insight into the mechanisms of action of leptin replacement therapy and provide novel biomarkers of lipodystrophy.</p> <p></p>

opencc-zeroNov 2019View details →
dryad32/100

Data from: Combined transcriptome and metabolome analysis identifies defence responses in spider-mite infested pepper

<p>Plants regulate responses towards herbivory through fine-tuning of defence-related hormone production, expression of defence genes and production of secondary metabolites. Jasmonic acid (JA) plays a key role in plant-herbivorous arthropod interactions. To understand how pepper responds to herbivory, leaf transcriptomes and metabolomes of two genotypes different in their susceptibility to spider mites, were studied. Mites induced both JA and salicylic acid (SA) signalling. However, mite infestation and exogenous JA resulted in distinct transcriptome profiles. Compared with JA, mites induced less differentially expressed genes involved in metabolic processes (except for genes involved in the phenylpropanoid pathway) and lipid metabolic processes. Furthermore, pathogen-related defence responses including WRKY transcription factors, were stronger induced upon mite infestation, likely as result of induced SA signalling. Untargeted analysis of secondary metabolites confirmed that JA treatment induced larger changes in metabolism than spider-mite infestation, resulting in a higher terpenoid and flavonoid production. The more resistant genotype exhibited a larger increase in endogenous JA and volatile and non-volatile secondary metabolites upon infestation, which could explain its stronger defence. Reasoning that in JA-SA antagonizing crosstalk, SA-defences are prioritized over JA-defences, we hypothesize that lack of SA-mediated repression of JA-induced defences could result in gain-of-resistance towards spider mites in pepper.</p>

opencc-zeroDec 2018View details →
zenodo32/100

Data: Metabolomic Approaches to Studying the Response to Drought Stress in Corn (Zea mays) Cobs

<p>All data associated associated with the manuscript https://doi.org/10.3390/metabo11070438. Raw metabolomics data files (.Mzml) obtained on solariX FTICR and ms/ms spectral files (.raw) from Fusion orbitrap MS. zip file includes sample and folder descriptions.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

Carbohydrate tolerance in Amazon tambaqui (Colossoma macropomum) revealed by NMR-metabolomics - Are glucose and fructose different sugars for fruit-eating fish?

<p>In the present study, two approaches were followed to evaluate the metabolic responses of tambaqui (Colossoma macropomum), a frugivorous species, to intraperitoneal (IP) administration of glucose (GLU) and fructose (FRU) in fed (FED) and 10-day fasted (FAST) esh. Glucose and fructose tolerance tests were performed to assess the car- bohydrate utilization and complementary NMR-metabolomics analyses were done to elucidate the impacts of sugar mobilization on the metabolic proele of plasma, liver and muscle. Blood was sampled from FED groups at 0, 3, 6 and 24 h; and at 0 and 24 h from FAST groups. Significant differences were observed in the hypergly- caemic peak between sugars at 3 h (GLU - 13.7 &plusmn; 2.0 mM vs. FRU - 8.7 &plusmn; 1.1 mM; saline 6.3 &plusmn; 0.6 mM) and on the return to normoglycaemia (GLU - 8.5 &plusmn; 2.2 mM vs. FRU - 5.2 &plusmn; 0.9 mM; saline 4.9 &plusmn; 0.6 mM) 6 h after IP on the FRU esh. The NMR-metabolomics approach allowed to conclude that tambaqui seems to be more re- sponsive to the feeding regime (FED vs. FAST) than to the injected sugar (FRU vs. GLU). From the studied tissues, plasma showed no significant variations between feeding regimes at 24 h after IP, while muscle and liver re- vealed some variations on the enal metabolome proele between FED and FAST groups. The metabolome varia- tions between feeding regimes are indicative of changes on the amino acid utilization. Fish from FAST group seem to utilize amino acids as energy source rather than for protein synthesis and muscle growth. Variations on glucose concentration in muscle can also indicate different utilization of the sugars depending on the feeding regime.</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Untargeted metabolomic analysis of thyroid cancer and benign thyroid nodule

<p>Thyroid cancer (TC) is the most common endocrine malignancy with increasing incidence in recent years. Fine-needle aspiration biopsy (FNAB), as a quick and cost-effective method, serves as a gold standard for initial evaluation of thyroid nodules. However, this technique fails to cover all the cytopathologic conditions resulting in a high rate of indeterminate results. There is an urgent need for better classification of thyroid cancer from benign thyroid nodule (BTN). Here, we conducted&nbsp;untargeted metabolomics in 25 plasma samples from&nbsp;10 patients with TC and 15 patients with BTN.</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

IDSL.CSA - metabolomics data matrix for annotated compound using CSA spectra for ST001000 study

<p>IDSL.CSA - metabolomics data matrix for annotated compound using CSA spectra for ST001000 study</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Supporting Information: High-throughput Saccharomyces cerevisiae cultivation method for credentialing-based untargeted metabolomics

<p>F1: Physiological Constraints: Growth rate, glucose uptake, and intracellular 13C succinate concentration</p> <p>F2: PAVE input and adduct list</p> <p>F3: Credentialing results, HILIC data</p> <p>F4: Credentialing results, RP lipids data</p> <p>F5: HILIC Level 2A annotation with MS-DIAL and manual mass shift quality control</p> <p>F6: R script for the MetFrag/PCLite-based annotation</p> <p>F7: HILIC annotation with MetFrag/PCLite</p> <p>F8: RP-lipids annotation with MS-DIAL</p> <p>F9: Level 1 compounds identification</p> <p>F10: InChKey-based YMDB and HMDB recovery analysis &nbsp;&nbsp;</p> <p>F11: InChKey-based comparison with PAVE publication</p> <p>F12: Statistic Results</p> <p>F13: Supernatant measurements</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

Artificial neural network model and metabolomics data of selected microbial strains

<p>Metabolomics data, metadata, sample R code, and a pre-trained artificial neural network model to predict group memberships of the bacterial strains in the dataset.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Characterization and amelioration of filtration difficulties encountered in metabolomic studies of Clostridium thermocellum at elevated sugar concentrations

<p>Datasets and python codes to generate figures for the research paper published in Applied and Environmental Microbiology (DOI:10.1128/aem.00406-23).</p>

opencc-by-4.0Apr 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record