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3,081
datasets available to search
ShareScore release 0.9.0
Dataset results
3,081 results for “arrays”
Gene array analysis of WT and TAOK3 KO T cells
GEO Series GSE116276. Homo sapiens. 6 samples. Type: Expression profiling by array.
Expression QTL mapping of Toxoplasma gondii genes, Tachyzoite array
GEO Series GSE11514. Toxoplasma gondii; synthetic construct. 28 samples. Type: Expression profiling by array.
Identification of beta-cetenin/TCF4 target genes in LS174T colorectal cancer cells using gene expression arrays
GEO Series GSE56896. Homo sapiens. 6 samples. Type: Expression profiling by array.
Translation state array analysis of Mouse embryonic stem cells and embryoid bodies
GEO Series GSE9563. Mus musculus. 30 samples. Type: Expression profiling by array.
Array-CGH screening of pediatric T-lymphoblastic leukemias (n=73)
GEO Series GSE8738. Homo sapiens. 73 samples. Type: Genome variation profiling by genome tiling array.
Gene array analysis of WT and SKO macrophages following engulfment of irradiated HEK 293 cells with/without double-stranded DNA
GEO Series GSE110929. Mus musculus. 12 samples. Type: Expression profiling by array.
Axiom® Exome 319 Array data to identify susceptible genetic variations of gastric cancer
GEO Series GSE58356. Homo sapiens. 1012 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Compared performance of Affymetrix HTA arrays and Illumina RNAseq for the analysis of tumours [Affymetrix]
GEO Series GSE84784. Homo sapiens. 18 samples. Type: Expression profiling by array.
ChIP-Chip tiling array for H3k27ac in mouse MV+ (lens epithelium) and RAG cells ( renal adenocarcinoma) over panel of genes including Pax6, Sox2, Otx2, Sox9.
GEO Series GSE119659. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Transcriptomic responses of Arabidopsis wild-type and amp1 seedlings after hyperphyllin treatment [AraGene-1_1-st array]
GEO Series GSE106659. Arabidopsis thaliana. 12 samples. Type: Expression profiling by array.
Expression data from PC-3 cells with increased in vivo metastatic potential compared to parental tumor cells [Array]
GEO Series GSE86642. Homo sapiens. 4 samples. Type: Expression profiling by array.
Madin-Darby canine kidney cells expression array
GEO Series GSE48525. Canis lupus familiaris. 6 samples. Type: Expression profiling by array.
Expression profile of the first 24 hrs of Drosophila embryonic development using tiling arrays
GEO Series GSE5514. Drosophila melanogaster. 12 samples. Type: Expression profiling by genome tiling array.
Microseismic activity and subsurface structure characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
<p>EGFs and earthquake data in the Laohutai coal mine</p>
Raw Acoustic data samples from hydrophone SLim Towed Array towed by marine robot acquired during STO-CMRE sea trials
<p>Sample raw acoustic datasets acquired from hydrophone array SLiTA (SLim Towed Array, specific for AUV applications) towed by marine autonomous vehicles (e.g, Autonomous Underwater Vehicles, AUVs) [*] during three STO-CMRE sea trials:</p> <ul> <li>PORTOPALO (2013), at Portopalo di Capo Passero, Sicily, Italy, on 18-19 February 2013</li> <li>COLLAB13, at Palmaria Island, La Spezia, Italy, on 30 June - 7 July 2013</li> <li>COLLAB14, at Massa, Italy, on 29-31 October 2014</li> </ul> <p>Access to this dataset is restricted to NATO and H2020 INFORE consortium. This data set is provided to INFORE consortium partners for the purposes of executing tasks under the INFORE Grant Agreement and may not be used for other purposes or further distributed.</p> <p>The creation of derived products, as well the use in scientific publications must be pre-approved by NATO STO CMRE and acknowledged.</p> <p>These data are available to partners of NATO Nations after the execution of the project on the basis of existing NATO policies and rules for data release, other memorandum of understanding and agreements, and on the basis of CMRE terms and conditions for data reuse.</p> <p>Acoustic raw data from SliTa array header specification is described in the Table below,</p> <table> <thead> <tr> <th> <p><strong>Field Name</strong></p> </th> <th> <p><strong>Data Type</strong></p> </th> <th> <p><strong>Description</strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>headersize</p> </td> <td> <p>int</p> </td> <td> <p>Size of header in bytes</p> </td> </tr> <tr> <td> <p>dataFormat</p> </td> <td> <p>int</p> </td> <td> <p>0 means 2’s complement; 1 means Offset Binary</p> </td> </tr> <tr> <td> <p>fs</p> </td> <td> <p>float</p> </td> <td> <p>Sampling Frequency [Hz]</p> </td> </tr> <tr> <td> <p>inputRange</p> </td> <td> <p>int</p> </td> <td> <p>Flag to determine the max voltage.<br> {3=10V, 2=5V, else 2.5V}</p> </td> </tr> <tr> <td> <p>gainHydPreamp</p> </td> <td> <p>float</p> </td> <td> <p>Preamplifier fain</p> </td> </tr> <tr> <td> <p>gainA2dAmp</p> </td> <td> <p>float</p> </td> <td> <p>A/D gain</p> </td> </tr> <tr> <td> <p>dataWidth</p> </td> <td> <p>int</p> </td> <td> <p>Flag to determine the number of bit per sample<br> {3=24bit, 2=20bit, 1=18bit, else 15bit}</p> </td> </tr> <tr> <td> <p>acqLength</p> </td> <td> <p>float</p> </td> <td> <p>Size (in seconds) on each block of data returned by A/D</p> </td> </tr> <tr> <td> <p>octave</p> </td> <td> <p>int</p> </td> <td> <p>Determine the array spacing:<br> {1=0.21m, 2=0.42, 3=0.84, 4=1.05m}</p> </td> </tr> <tr> <td> <p>pc_day</p> </td> <td> <p>int</p> </td> <td> <p>Day from PC time</p> </td> </tr> <tr> <td> <p>pc_month</p> </td> <td> <p>int</p> </td> <td> <p>Month from PC time</p> </td> </tr> <tr> <td> <p>pc_year</p> </td> <td> <p>int</p> </td> <td> <p>Year from PC time</p> </td> </tr> <tr> <td> <p>pc_hr</p> </td> <td> <p>int</p> </td> <td> <p>Hour from PC time</p> </td> </tr> <tr> <td> <p>pc_min</p> </td> <td> <p>int</p> </td> <td> <p>Minute from PC time</p> </td> </tr> <tr> <td> <p>pc_sec</p> </td> <td> <p>int</p> </td> <td> <p>Seconds from PC time</p> </td> </tr> <tr> <td> <p>gps_month</p> </td> <td> <p>int</p> </td> <td> <p>Month from GPS</p> </td> </tr> <tr> <td> <p>gps_day</p> </td> <td> <p>int</p> </td> <td> <p>Day from GPS</p> </td> </tr> <tr> <td> <p>gps_year</p> </td> <td> <p>int</p> </td> <td> <p>Year from GPS</p> </td> </tr> <tr> <td> <p>oex_hr</p> </td> <td> <p>int</p> </td> <td> <p>Hour from Frontseat PC</p> </td> </tr> <tr> <td> <p>oex_min</p> </td> <td> <p>int</p> </td> <td> <p>Minute from Frontseat PC</p> </td> </tr> <tr> <td> <p>oex_sec</p> </td> <td> <p>double</p> </td> <td> <p>Seconds from Frontseat PC</p> </td> </tr> <tr> <td> <p>lat_deg</p> </td> <td> <p>int</p> </td> <td> <p>Latitude [degrees]</p> </td> </tr> <tr> <td> <p>lat_min</p> </td> <td> <p>double</p> </td> <td> <p>Latitude [minutes]</p> </td> </tr> <tr> <td> <p>lon_deg</p> </td> <td> <p>int</p> </td> <td> <p>Longitude [degrees]</p> </td> </tr> <tr> <td> <p>lon_min</p> </td> <td> <p>double</p> </td> <td> <p>Longitude [minutes]</p> </td> </tr> <tr> <td> <p>heading</p> </td> <td> <p>float</p> </td> <td> <p>Size of header in bytes</p> </td> </tr> <tr> <td> <p>cog</p> </td> <td> <p>float</p> </td> <td> <p>0 means 2’s complement; 1 means Offset Binary</p> </td> </tr> <tr> <td> <p>depth</p> </td> <td> <p>float</p> </td> <td> <p>Sampling Frequency [Hz]</p> </td> </tr> <tr> <td> <p>altitude</p> </td> <td> <p>double</p> </td> <td> <p>Flag to determine the max voltage.<br> {3=10V, 2=5V, else 2.5V}</p> </td> </tr> <tr> <td> <p>sog(dm/s)</p> </td> <td> <p>int</p> </td> <td> <p>Preamplifier fain</p> </td> </tr> <tr> <td> <p>sow(dm/s)</p> </td> <td> <p>int</p> </td> <td> <p>A/D gain</p> </td> </tr> <tr> <td> <p>track_stat</p> </td> <td> <p>int</p> </td> <td> <p>Flag to determine the number of bit per sample<br> {3=24bit, 2=20bit, 1=18bit, else 15bit}</p> </td> </tr> <tr> <td> <p>fix_type</p> </td> <td> <p>int</p> </td> <td> <p>Size (in seconds) on each block of data returned by A/D</p> </td> </tr> <tr> <td> <p>pps_output</p> </td> <td> <p>int</p> </td> <td> <p>Determine the array spacing:<br> {1=0.21m, 2=0.42, 3=0.84, 4=1.05m}</p> </td> </tr> </tbody> </table> <p>[*] Alain Maguer, Rodney Dymond, Piero Guerrini, Luigi Troiano, Vittorio Grandi, Alberto Figoli, Claudio Olivero, Alessandro Sapienza, Stefano Fioravanti, John Potter Receiving and transmitting acoustic systems for AUV/gliders. Proceedings of the 3rd International Conference and Exhibition on Underwater Acoustic Measurements: Technologies and Results, 21-26 June, 2009, Nafplion, Greece. <a href="https://openlibrary.cmre.nato.int/bitstream/handle/20.500.12489/651/NURC-PR-2009-004.pdf">https://openlibrary.cmre.nato.int/bitstream/handle/20.500.12489/651/NURC-PR-2009-004.pdf</a></p>
CGH-array in Prenatal Diagnosis of Isolated Severe and Early Intra-uterine Growth Restriction
ClinicalTrials.gov study NCT04729361. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Evaluation of an Oligonucleotide Array for Rapid Identification of Dermatophytes in Clinical Specimens
ClinicalTrials.gov study NCT02270697. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Rijavithi Viral and Mycobacterium PCR Arrays in CNS Infection Study
ClinicalTrials.gov study NCT00807378. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Phased-Array Versus Curvilinear Probe for FAST Ultrasonography
ClinicalTrials.gov study NCT07037797. IPD Sharing: NO. Countries: 0. Publications: 0.
Anatomy Based Selection of CI Array for SSD Patients
ClinicalTrials.gov study NCT06189274. IPD Sharing: NO. Countries: 0. Publications: 0.
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.