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121
datasets available to search
ShareScore release 0.9.0
Dataset results
121 results for “system identification”
Genome-wide essential gene identification for SubAB toxin-induced cell death using CRISPR/CAS9 screening system
GEO Series GSE125650. Homo sapiens. 8 samples. Type: Other.
Systems-based identification of the Hippo pathway for promoting fibrotic mesenchymal differentiation in systemic sclerosis
GEO Series GSE249279. Homo sapiens. 42 samples. Type: Expression profiling by high throughput sequencing; Other.
Identification of heterogeneous networks and plasma-monocytes crosstalks in multiple myeloma stratified by R-ISS system through single-cell sequencing
GEO Series GSE176131. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing.
Identification of trancripts regulated by the Listeria monocytogenes two-component system regulator VirR by RNA-seq
GEO Series GSE98373. Listeria monocytogenes. 12 samples. Type: Expression profiling by high throughput sequencing.
Data and R script for publication: The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean
<p>This is a www.zenodo.org data and R script upload for publication:</p> <p> </p> <p>Schmid, M.S. et al., The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean. Methods in Oceanography (2016), http://dx.doi.org/10.1016/j.mio.2016.03.003</p> <p> </p> <p>Downloadable script: Script_Schmid_Mio_2016_data_upload.R</p> <p>Downloadable data: Schmid_2016_MIO_CGlac.csv</p>
Identification of beneficial and detrimental bacteria that impact sorghum responses to drought using multi-scale and multi-system microbiome comparisons
<p><strong>Background: </strong>Drought is a major abiotic stress that limits agricultural productivity. Previous field-level experiments have demonstrated that drought decreases microbiome diversity in the root and rhizosphere and may lead to enrichment of specific groups of microbes, such as <em>Actinobacteria</em>. How these changes ultimately affect plant health is not well understood. In parallel, model systems have been used to tease apart the specific interactions between plants and single, or small groups of microbes. However, translating this work into crop species and achieving increased crop yields within noisy field settings remains a challenge. Thus, the next scientific leap forward in microbiome research must cross the great lab-to-field divide. Toward this end, we combined reductionist, transitional and ecological approaches, applied to the staple cereal crop sorghum to identify key beneficial and detrimental, root associated microbes that robustly affect drought stressed plant phenotypes.</p> <p> </p> <p><strong>Results: </strong>Fifty-three bacterial strains, originally characterized for association with <em>Arabidopsis</em>, were applied to sorghum seeds and their effect on root growth was monitored for seven days. Two <em>Arthrobacter </em>strains, members of the <em>Actinobacteria </em>phylum, caused root growth inhibition (RGI) in <em>Arabidopsis</em> and sorghum. In the context of synthetic communities, strains of <em>Variovorax</em> were able to protect both <em>Arabidopsis </em>and sorghum from the RGI caused by <em>Arthrobacter</em>. As a transitional system, we tested the synthetic communities through a 24-day high-throughput sorghum phenotyping assay and found that during drought stress, plants colonized by <em>Arthrobacter</em> were significantly smaller and had reduced leaf water content as compared to control plants. However, plants colonized by both <em>Arthrobacter</em> and <em>Variovorax</em> performed as well or better than control plants. In parallel, we performed a field trial wherein sorghum was evaluated across well-watered and drought conditions. Drought responsive microbes were identified, including an enrichment in <em>Actinobacteria</em>, consistent with previous findings. By incorporating data on soil properties into the microbiome analysis, we accounted for experimental noise with a newly developed method and were then able to observe that the abundance of <em>Arthrobacter</em> strains negatively correlated with plant growth. Having validated this approach, we cross-referenced datasets from the high-throughput phenotyping and field experiments and report a list of high confidence bacterial taxa that positively associated with plant growth under drought stress.</p> <p> </p> <p><strong>Conclusions: </strong>A three-tiered experimental system connected reductionist and ecological approaches and identified beneficial and deleterious bacterial strains for sorghum under drought stress.</p>
The raw data about the research of identification of biomarkers related to systemic sclerosis with or without pulmonary hypertension via co-expression analysis
<p>This file includes some of necessary raw data and code about the research of identification of biomarkers related to systemic sclerosis with or without pulmonary hypertension via co-expression analysis.</p> <p> </p>
The Study About the Identification of Treatable Traits of Severe Asthma and the Construction of Personalized Treatment System
ClinicalTrials.gov study NCT07136025. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Immunodeficiency and Cancer: Identification of Congenital Immune System Defects Underlying Paediatric Lymphomas
ClinicalTrials.gov study NCT06332196. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development of a Deep Learning System for Identification of Neuro-Ophthalmological Conditions on Color Fundus Photographs in Emergency Department
ClinicalTrials.gov study NCT06643338. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of Oral Lesions Through an Autofluorescence System
ClinicalTrials.gov study NCT05942794. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of Innovative Biomarkers Related to the Immune System or Tumor Microenvironment to Promote the Efficacy of Immunotherapies
ClinicalTrials.gov study NCT06626269. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of High Risk People for Colorectal Cancer and Evaluation of a Specific Surveillance System
ClinicalTrials.gov study NCT02931825. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of Cutaneous and Blood Biomarkers Predictive of Response to Systemic Treatments During Chronic Inflammatory Skin Diseases
ClinicalTrials.gov study NCT06599411. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Study of Systemic Impact of Trace Elements Release by Implantable Medical Devices. Identification of Biomarkers of Systemic Inflammation
ClinicalTrials.gov study NCT03812627. IPD Sharing: NO. Countries: 1. Publications: 0.
Testing a Biometric Identification System to Improve Malaria Vaccine Completion
ClinicalTrials.gov study NCT07261280. IPD Sharing: NO. Countries: 1. Publications: 0.
Identification of Liver Tumours Using BIP - Biopsy System
ClinicalTrials.gov study NCT02620228. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification and characterization of a core set of ROS wave-associated transcripts involved in the systemic acquired acclimation response of Arabidopsis to excess light [Timecourse]
GEO Series GSE117296. Arabidopsis thaliana. 48 samples. Type: Expression profiling by high throughput sequencing.
Identification and Characterization of the Determinants of Copper Resistance in the Acidophilic Fungus Acidomyces richmondensis MEY-1 Using the CRISPR/Cas9 System
GEO Series GSE217610. Acidomyces sp. 'richmondensis'. 12 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide essential gene identification for lysenin-induced cell death using CRISPR/CAS9 screening system
GEO Series GSE185404. Homo sapiens. 2 samples. Type: Other.
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.