Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
20
datasets available to search
ShareScore release 0.9.0
Dataset results
20 results for “fecal analysis”
Data for the publication "Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer"
<p>This dataset encompasses all data needed to reproduce the analyses presented in <a href="https://www.nature.com/articles/s41591-019-0406-6">Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer</a></p> <p>You can also check the <a href="https://github.com/zellerlab/crc_meta">GitHub repository</a></p>
Analysis Data, "Drivers and Determinants of Strain Dynamics Following Fecal Microbiota Transplantation"
<p>This package contains datasets in `Rdata` format that underlie the analyses presented in the study, "Drivers and Determinants of Strain Dynamics Following Fecal Microbiota Transplantation" by Schmidt, Li et al.<br> </p> <p>Corresponding code, referring to these datasets, is available via `github`:</p> <p>https://github.com/grp-bork/fmt_metastudy</p> <p> </p> <p>The study is available as a preprint:</p> <p>https://www.biorxiv.org/content/10.1101/2021.09.30.462010v1</p> <p> </p> <p>The present package contains processed/derived data. Metagenome-Assembled Genomes generated for the same study are available via `Zenodo` under:</p> <p>https://zenodo.org/record/5534163#.YpoRFy8RrzA<br> doi: 10.5281/zenodo.5534163</p>
Diet composition based on stable isotopic analysis of fecal samples revealed the preference of Black-faced Spoonbill (Platalea minor) for natural wetlands and fishponds
<p><span>Background:</span><span> Black-faced spoonbill (BFS) is a global endangered species, distributed only in the coastal zones of East Asia. Xinghua Bay is one of the main wintering sites and migration stopovers of BFS in mainland China. However, </span><span>with the </span><span>reduction and degradation of natural wetlands, it is uncertain whether the constructed wetland can provide habitat for the endangered BFS. Research on diet of BFS will help to understand their preference between natural and artificial wetlands, and also provide reference for their conservation and habitat restoration. </span></p> <p><span>Results:</span><span> In the early winter, the proportion of Palaemonidae in BFS's food was as high as 74.4%, while that of other food was only 3.0% to 6.0%. In the late winter, the food contribution of BFS was as follow: Portunidae </span><span>39.3% </span><span>> Palaemonidae </span><span>26.1% </span><span>> Cyprinidae </span><span>8.8% </span><span>></span> <span>Mugilidae </span><span>8.5% </span><span>> Gobiidae </span><span>7.3% </span><span>></span> <span>Crucian </span><span>5.1% </span><span>> Whiteshrimp </span><span>4.8%</span><span>. The proportion of Portunidae exceeded that of Palaemonidae, and together with Palaemonidae, it has become the main food of BFS in late winter. </span></p> <p><span>Conclusion: </span><span>The diet composition of BFS between the early and late winter was significantly different, which may be due to seasonal changes in food resources. Natural wetlands are the main feeding grounds of BFS, but artificial wetlands also provide them with supplementary feeding grounds and resting places. Aquaculture ponds play an important ecological function in maintaining the overwintering population of BFS in Xinghua Bay.</span></p>
Diet composition based on stable isotopic analysis of fecal samples revealed the preference of Black-faced Spoonbill (Platalea minor) for natural wetlands and fishponds
Open the record for dataset details and reuse information.
Data supporting the article: "Comparative analysis of fecal microbiota between adolescents with early-onset psychosis and adults with schizophrenia"
<p>This dataset supports the article titled <em>"Comparative analysis of fecal microbiota between adolescents with early-onset psychosis and adults with schizophrenia.", </em>available at<em> <a href="https://doi.org/10.3390/microorganisms12102071">https://doi.org/10.3390/microorganisms12102071</a></em><em>.</em></p> <p>The dataset includes fecal microbiota sequencing data from adolescent patients with early-onset psychosis, adult patients with schizophrenia, and non-psychotic controls. The data were generated using 16S rRNA gene sequencing and analyzed with QIIME2 and PICRUSt2 to assess microbial diversity and functional pathways. Variables such as age, diagnosis, and medication use are included.</p> <p>The dataset contains:</p> <ul> <li><strong>Processed results</strong> from fecal microbiota analysis (OTUs and taxonomic classifications)</li> <li><strong>Metadata</strong> associated with each sample (age, diagnosis, medication)</li> <li><strong>Results from diversity analysis</strong> (alpha and beta diversity metrics)</li> <li><strong>Functional analysis</strong> of microbial pathways (PICRUSt2)</li> </ul> <p>These data are essential for reproducing the findings discussed in the article. Note that the raw sequencing data are available upon request.</p>
Data from: A pipeline for metabarcoding and diet analysis from fecal samples developed for a small semi-aquatic mammal
Metabarcoding allows the genetic analysis of pooled samples of various sources. It is becoming popular in the study of animal diet, especially because it allows the analysis of the composition of feces without the need of handling animals. In this work, we studied the diet of the Pyrenean desman (Galemys pyrenaicus), a small semi-aquatic mammal endemic to the Iberian Peninsula and the Pyrenees, by sequencing COI minibarcodes from feces using next-generation sequencing techniques. For the identification of assembled sequences, we employed a tree-based identification method that used a reference tree of sequences of freshwater organisms. The comparison of freshly collected fecal samples and older samples showed that fresh samples produced significantly more sequencing reads. They also rendered more operational taxonomical units (OTUs), but not significantly. Our analyses of 41 samples identified 224 OTUs corresponding to species of the reference tree. Ephemeroptera, Diptera excl. Chironomidae, and Chironomidae were the most highly represented groups in terms of reads as well as samples. Other groups of freshwater organisms detected were Plecoptera, Trichoptera, Neuropteroida, Coleoptera, Crustacea, and Annelida. Our results are largely in line with previous morphological and genetic studies on the diet of the Pyrenean desman, but allowed the identification of a higher diversity of OTUs in each sample. Additionally, the bioinformatic pipeline we developed for deep sequencing of fecal samples will enable the quantitative analysis of the diet of this and other species, which can be highly useful to determine their ecological requirements.
Fecal Microbiota Analysis of PNPLA3 Polymorphism in Hispanic Patients With MASLD
ClinicalTrials.gov study NCT06495333. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Profile Fecal Analysis of Neutropenic Enterocolitis
ClinicalTrials.gov study NCT04438278. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: A pipeline for metabarcoding and diet analysis from fecal samples developed for a small semi-aquatic mammal
Open the record for dataset details and reuse information.
Non-invasive monitoring of multiple wildlife health factors by fecal microbiome analysis
<p>Fecal microbial biomarkers represent a less invasive alternative for acquiring information on wildlife populations than many traditional sampling methodologies. Our goal was to evaluate linkages between fecal microbiome communities in Rocky Mountain elk (<i>Cervus canadensis</i>) and four host factors including sex, age, population, and physical condition (body-fat). We paired a feature-selection algorithm with an LDA-classifier trained on elk differential bacterial abundance (16S-rRNA amplicon survey) to predict host health factors from 104 elk microbiomes across four elk populations. We validated the accuracy of the various classifier predictions with leave-one-out cross-validation using known measurements. We demonstrate that the elk fecal microbiome can predict the four host factors tested. Our results show that elk microbiomes respond to both the strong extrinsic factor of biogeography and simultaneously occurring, but more subtle, intrinsic forces of individual body-fat, sex, and age class. Thus, we have developed and described herein a generalizable approach to disentangle microbiome responses attributed to multiple host factors of varying strength from the same bacterial sequence data set. Wildlife conservation and management presents many challenges, but we demonstrate that non-invasive microbiome surveys from scat samples can provide alternative options for wildlife population monitoring. We believe that, with further validation, this method could be broadly applicable in other species and potentially predict other measurements. Our study can help guide the future development of microbiome-based monitoring of wildlife populations and supports hypothetical expectations found in host-microbiome theory.</p>
Non-invasive monitoring of multiple wildlife health factors by fecal microbiome analysis
Open the record for dataset details and reuse information.
mWGS analysis of the fecal microbiota of WT and TCRb-/- mice
GEO Series GSE262397. feces metagenome. 14 samples. Type: Other.
Microbial RNAseq analysis of cecal and fecal samples collected from mice colonized with the microbiota of human twins discordant for obesity
GEO Series GSE48861. mouse gut metagenome. 59 samples. Type: Expression profiling by high throughput sequencing.
Fecal Microbiota Transplantation and Analysis of Fecal Microbiome in IBD Patients
ClinicalTrials.gov study NCT03399188. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Predictive Diagnosis of Ulcero-Necrotizing EnteroColitis in Premature Babies Using an Artificial Intelligence Approach Based on Early Analysis of the Fecal Microbiota
ClinicalTrials.gov study NCT06727877. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasibility Study to Diagnose Helicobacter Pylori in the Paediatric Population Using Non-invasive Fecal Analysis
ClinicalTrials.gov study NCT07083804. IPD Sharing: NO. Countries: 1. Publications: 0.
16S rRNA sequencing analysis of bacteiral community composition in antibiotic-treated mouse fecal sample
GEO Series GSE291841. feces metagenome. 36 samples. Type: Expression profiling by high throughput sequencing.
FIG. 1. Rarefaction curves for individual Ozark big-eared bat fecal pellets showed that A — 14 in Molecular dietary analysis of the endangered Ozark big-eared bat (Corynorhinus townsendii ingens)
FIG. 1. Rarefaction curves for individual Ozark big-eared bat fecal pellets showed that A — 14 of the 32 pellets clearly reached the asymptote, B — 18 of the 32 pellets were still increasing in species detection
Next generation sequencing analysis of the single-cell transcriptomes of the T cell eclited by fecal phageome
GEO Series GSE269903. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Source-tracking fecal contamination by genomic analysis of Escherichia coli from human and animal hosts
GEO Series GSE21115. Escherichia coli str. K-12 substr. MG1655; Escherichia coli. 24 samples. Type: Genome variation profiling by array.
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.