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472
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ShareScore release 0.7.1
Dataset results
472 results for “COVID 19”
Influence of COVID‑19 on the prognosis and medication compliance of glaucoma patients in the Nile Delta Region
Open the record for dataset details and reuse information.
Persistent post-COVID-19 smell loss is associated with inflammatory infiltration and altered olfactory epithelial gene expression
GEO Series GSE201620. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Durable Alterations of Hematopoiesis and Chromatin post-COVID-19 [Bulk ATAC-seq]
GEO Series GSE190004. Homo sapiens. 57 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Durable Alterations of Hematopoiesis and Chromatin post-COVID-19 [snATAC-seq]
GEO Series GSE196989. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Durable Alterations of Hematopoiesis and Chromatin post-COVID-19 [bulkRNA-Seq]
GEO Series GSE234939. Homo sapiens. 50 samples. Type: Expression profiling by high throughput sequencing.
Unresolved Immune Dysfunction is Lethal in Both COVID-19 and non-COVID-19 Sepsis
GEO Series GSE222393. Homo sapiens. 58 samples. Type: Expression profiling by high throughput sequencing.
Case Report: Deep Immune Profiling Links Neutrophil and Plasmablast Dysregulation to Microvascular Damage in post-COVID-19 Multisystem Inflammatory Syndrome of Adults (MIS-A).
GEO Series GSE171052. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Durable Alterations of Hematopoiesis and Chromatin post-COVID-19 [MultiomeATAC-seq]
GEO Series GSE196987. Mus musculus; Homo sapiens. 40 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Durable Alterations of Hematopoiesis and Chromatin post-COVID-19 [MultiomeRNA]
GEO Series GSE196988. Homo sapiens; Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.
Embeddings of KG-COVID-19 knowledge graph (Aug 12 build), produced using node2vec, skipgram model, p=q=1, walk length = 100, num walks = 20
<p>Embeddings of KG-COVID-19 knowledge graph (Aug 12 build), produced using Embiggen, node2vec, skipgram model, p=q=1, walk length = 100, num walks = 20</p>
Embeddings of KG-COVID-19 knowledge graph (Aug 12 build), 80/20 training/test split, produced using node2vec, skipgram model, p=q=1, walk length = 100, num walks = 20
<p>KG-COVID-19 embedding data from Sep 8, 2020 experiment, for training/test split of 80/20: </p> <p>These embeddings and weights were produced from this notebook on or around Sep 8, 2020:</p> <p>https://github.com/justaddcoffee/kg_covid_19_drug_analyses/blob/master/Graph%20embedding%20using%20SkipGram%20homogeneous%20graph.ipynb</p> <p>SkipGram_80_20_training_test_epoch_500_delta_0.0001_embedding.npy<br> SkipGram_80_20_training_test_epoch_500_delta_0.0001_weights.h5</p> <p>I'm also including two runs just before this, with different epoch number and delta values:</p> <p>SkipGram_80_20_training_test_embedding_sep_6_2020_epoch_200_delta_0.001.npy</p> <p>SkipGram_80_20_training_test_weights_sep_6_2020_epoch_200_delta_0.001.h5</p> <p>SkipGram_80_20_training_test_embedding_sep_7_2020_epoch_200_delta_0.0001.npy<br> SkipGram_80_20_training_test_weights_sep_7_2020_epoch_200_delta_0.0001.h5</p>
KG-COVID-19 graph containing all current sources EXCEPT ChEMBL antivirals
<p>KG-COVID-19 graph containing all sources EXCEPT ChEMBL antivirals</p> <p>The follow commit was used to produce this KG on Sep 18, 2020</p> <blockquote> <p>commit 9fd270e1b141487ee422d138cd74add87118f669 (HEAD -> no_chembl_merge, origin/master, origin/HEAD, fix_internal_tabs_scibite_data)<br> Merge: bf8a47a b545edc<br> Author: Justin Reese <justaddcoffee+github@gmail.com><br> Date: Thu Sep 17 12:29:17 2020 -0700</p> </blockquote>
Management of Patients Suspected of COVID 19 With Ultra Low Dose Thoracic Scanner
ClinicalTrials.gov study NCT04794361. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mental Status and Quality of Life of Post-COVID-19 Patients
ClinicalTrials.gov study NCT04949035. IPD Sharing: NO. Countries: 1. Publications: 0.
Role of mHealth-based Interventions Including Social Media to Improve Childhood Immunization Coverage During COVID 19 Pandemic in Pakistan: Qualitative Study
ClinicalTrials.gov study NCT05042011. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multicentre Observational Study on Management COVID 19 Positive Outpatients in a French Cluster.
ClinicalTrials.gov study NCT04363099. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Acute Phase Reactant in Non-COVID-19 Bacterial Pneumonia
ClinicalTrials.gov study NCT05926089. IPD Sharing: NO. Countries: 1. Publications: 0.
Physiological Studies in Post-COVID-19 Syndrome, and the Association With DNA Methylation
ClinicalTrials.gov study NCT04859894. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Dendritic Cell Vaccine, AV-COVID-19, to Prevent COVID-19 Infection
ClinicalTrials.gov study NCT04690387. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Dynamic Balance After Recovery From COVID 19 Disease
ClinicalTrials.gov study NCT05813886. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.
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.