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1,896 results for “call”
Calling Cards: a customizable platform to longitudinally record protein-DNA interactions over time in cells and tissues
GEO Series GSE223926. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Gene expression study after 1 and 3 days of salt exposure in a Solanum tuberosum cultivar called PS3
GEO Series GSE18053. Solanum tuberosum. 6 samples. Type: Expression profiling by array.
Oligo-CALL: A Next-Generation Barcoding Platform for Studying Resistance to Targeted Therapy [bulk RNA-seq]
GEO Series GSE299096. Homo sapiens. 48 samples. Type: Expression profiling by high throughput sequencing.
Artifact for "Efficient Construction of Practical Python Call Graphs with Entity Knowledge Base"
<p>This is the artifact for the paper titled "Efficient Construction of Practical Python Call Graphs with Entity Knowledge Base"</p>
Nonlinear vocal phenomena in the begging calls of the African penguin
<p>This repository hosts the dataset used in the analysis conducted for the article titled "Nonlinear Vocal Phenomena in the Begging Calls of the African Penguin," including all the necessary files to replicate the analysis and findings presented in the study.</p> <p> </p> <p><strong>Files information</strong></p> <ul> <li><strong>Dataset_full_model.csv = model 1</strong><br>The variable inside are: <br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp= presence/absence<br><br></li> <li><strong>Dataset_control_model.csv = model 2</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp= nlp presence/absence<br><br></li> <li><strong>Dataset_reduced_NLP_category.csv = model 3, model 4, model 5</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp_ch=nlp chaos presence/absence<br>nlp_sb=nlp sidebands presence/absence<br>multi = presence of subharmonics, frequency jump or both<br><br></li> <li><strong>Dataset_reduced_NLP_duration.csv = model 6</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>freq= duration of the NLP normalised on the call duration</li> </ul> <p> </p>
Nonlinear vocal phenomena in African penguin begging calls: occurrence, significance, and potential applications
<p>This repository hosts the dataset used in the analysis conducted for the article titled "Nonlinear vocal phenomena in African penguin begging calls: occurrence, significance, and potential applications" including all the necessary files to replicate the analysis and findings presented in the study.</p> <p> </p> <p><strong>Files information</strong></p> <ul> <li><strong>Dataset_full_model.csv = model 1</strong><br>The variable inside are: <br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp= presence/absence<br><br></li> <li><strong>Dataset_control_model.csv = model 2</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp= nlp presence/absence<br><br></li> <li><strong>Dataset_reduced_NLP_category.csv = model 3, model 4, model 5</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp_ch=nlp chaos presence/absence<br>nlp_sb=nlp sidebands presence/absence<br>multi = presence of subharmonics, frequency jump or both<br><br></li> <li><strong>Dataset_reduced_NLP_duration.csv = model 6</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>freq= duration of the NLP normalised on the call duration</li> </ul> <p> </p>
Variant calls, first batch of colonic polyps
<p>From the Halberg/Pickhardt/Grady/Newton et al project, we have whole-exome data on 32 colonic polyps. The raw .fastq files were processed by Zijian Ni to variant calls, which record numbers of variants per gene and sample (snp's, indels),</p>
Expanded Access for LOXO-260 in Participants With Cancer Caused by an Abnormal RET Gene That Did Not Respond/is no Longer Responding to Treatment With a Type of Drug Called a RET Inhibitor
ClinicalTrials.gov study NCT05225259. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Oligo-CALL: A Next-Generation Barcoding Platform for Studying Resistance to Targeted Therapy [scRNA-seq]
GEO Series GSE299095. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Benchmarking bulk and single-cell variant calling approaches on Chromium scRNA-seq and scATAC-seq libraries
GEO Series GSE213338. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
CIDU 2011 Call for Papers
not available
Impact of CALR Mutations on Treatment and Survival Outcomes in Myelofibrosis: A Call for Early Intervention and Tailored Treatment
Open the record for dataset details and reuse information.
Re-sequencing data used for calling CNVs
GEO Series GSE123857. Sus scrofa. 1 samples. Type: Other.
Data, Text and Supporting files for the paper "The noseleaf of Rhinolophus formosae focuses the Frequency Modulated (FM) component of the calls"
<p>This entry contains all data, text and scripts used in compiling the paper. This includes all versions of the paper (incl. revisions, reviews and replies).</p>
Dataset Acoustic cues to development of African penguins begging calls
<p>Dataset used for GAM and SRM models built to investigate the presence of acoustic cues of development in the begging calls of African penguin chicks in the paper entitled: <strong><span>Acoustic cues to development of African penguins begging calls</span></strong></p>
Dicionary dataset for experiments calling Julia from Python
<p>ERRORED, please ignore this upload</p>
ScienceDex guides
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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.