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.
620
datasets available to search
ShareScore release 0.9.0
Dataset results
620 results for “sector”
Tumor T10 Sectors
GEO Series GSE16607. Homo sapiens. 14 samples. Type: Genome variation profiling by genome tiling array.
Tumor T14 Sectors
GEO Series GSE16611. Homo sapiens. 8 samples. Type: Genome variation profiling by genome tiling array.
Tumor T19 Sectors
GEO Series GSE16668. Homo sapiens. 7 samples. Type: Genome variation profiling by genome tiling array.
RNA-seq data of the Amphotericin (AmB)-resistant Aspergillus strain 211 and its AmB-susceptible sectorized derivative with and without AmB treatment
GEO Series GSE277670. Aspergillus terreus. 24 samples. Type: Expression profiling by high throughput sequencing.
Tumor T2 Sectors
GEO Series GSE16599. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.
Tumor T3 Sectors
GEO Series GSE16600. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.
Tumor T6 Sectors
GEO Series GSE16603. Homo sapiens. 5 samples. Type: Genome variation profiling by genome tiling array.
Tumor T4 Sectors
GEO Series GSE16601. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.
Tumor T17 Sectors
GEO Series GSE16665. Homo sapiens. 7 samples. Type: Genome variation profiling by genome tiling array.
Tumor T18 Sectors
GEO Series GSE16667. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.
COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece
<p><strong>COASTAL Project: Marine Data Set</strong></p> <p>In the framework of COASTAL Project (<a href="https://h2020-coastal.eu/">https://h2020-coastal.eu/</a>), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study.</p> <p><strong>Data set description</strong></p> <p>In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include:</p> <table> <tbody> <tr> <td> <p>Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water</p> </td> </tr> <tr> <td> <p>Metals, carbon, nitrogen, mineralogy in sediment</p> </td> </tr> <tr> <td> <p>Metals, carbon, nitrogen, mineralogy in sediment cores</p> </td> </tr> <tr> <td> <p>Particulate matter</p> </td> </tr> <tr> <td> <p>Hydrocarbons (PAHs, PCBs) in water</p> </td> </tr> <tr> <td> <p>Hydrocarbons (PAHs) in sediment</p> </td> </tr> <tr> <td> <p>Zooplankton biomass</p> </td> </tr> <tr> <td> <p>Zoobenthos taxonomic abundance</p> </td> </tr> </tbody> </table>
773782 COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece
<p><strong>COASTAL Project: Marine Data Set</strong></p> <p>In the framework of COASTAL Project (<a href="https://h2020-coastal.eu/">https://h2020-coastal.eu/</a>), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study (MAL02).</p> <p><strong>Data set description</strong></p> <p>In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include:</p> <table> <tbody> <tr> <td> <p>Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water</p> </td> </tr> <tr> <td> <p>Metals, carbon, nitrogen, mineralogy in sediment</p> </td> </tr> <tr> <td> <p>Metals, carbon, nitrogen, mineralogy in sediment cores</p> </td> </tr> <tr> <td> <p>Particulate matter</p> </td> </tr> <tr> <td> <p>Hydrocarbons (PAHs, PCBs) in water</p> </td> </tr> <tr> <td> <p>Hydrocarbons (PAHs) in sediment</p> </td> </tr> <tr> <td> <p>Zooplankton biomass</p> </td> </tr> <tr> <td> <p>Zoobenthos taxonomic abundance</p> </td> </tr> </tbody> </table>
773782 COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece
<p><strong>COASTAL Project: Marine Data Set</strong></p> <p>In the framework of COASTAL Project (<a href="https://h2020-coastal.eu/">https://h2020-coastal.eu/</a>), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study (MAL02).</p> <p><strong>Data set description</strong></p> <p>In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include:</p> <table> <tbody> <tr> <td> <p>Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water</p> </td> </tr> <tr> <td> <p>Metals, carbon, nitrogen, mineralogy in sediment</p> </td> </tr> <tr> <td> <p>Metals, carbon, nitrogen, mineralogy in sediment cores</p> </td> </tr> <tr> <td> <p>Particulate matter</p> </td> </tr> <tr> <td> <p>Hydrocarbons (PAHs, PCBs) in water</p> </td> </tr> <tr> <td> <p>Hydrocarbons (PAHs) in sediment</p> </td> </tr> <tr> <td> <p>Zooplankton biomass</p> </td> </tr> <tr> <td> <p>Zoobenthos taxonomic abundance</p> </td> </tr> </tbody> </table>
Background material for study titled: What are the different governance strategies and mechanisms in public sector platforms and how do they yield public value? A systematic literature review
<p>Extra materials for the literature study reported in the submitted paper.</p>
CAPITEL SECTOR 24 - OXIRRINCO
**3D Optimized Model 09 / 05 / 2020** Changes : Holes / Paint Texture and Optimized Optimized Model (Triangles: 28.6K) Original Model (Triangles: 481.8k) : https://skfb.ly/6SwME - J.J MARTINEZ Source: Objaverse 1.0 / Sketchfab
Telemedical Training for Chronically Ill COPD Patients: a Cross Sectoral Study
ClinicalTrials.gov study NCT02754232. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Improving the Quality of Private Sector Health Care in West Bengal
ClinicalTrials.gov study NCT02291575. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Tumor T9 Sectors
GEO Series GSE16606. Homo sapiens. 7 samples. Type: Genome variation profiling by genome tiling array.
Tumor T7 Sectors
GEO Series GSE16604. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array.
VG2 JUP LECP CALIBRATED RESAMPLED SECTORED 15MIN V1.1
This data set consists of resampled data from the Low Energy Charged Particle (LECP) experiment on Voyager 2 while the spacecraft was in the vicinity of Jupiter. This instrument measures the intensities of in-situ charged particles (>26 keV electrons and >30 keV ions) with various levels of discrimination based on energy, mass species, and angular arrival direction. A subset of almost 100 LECP channels are included with this data set. The LECP data are globally calibrated to the extent possible (see below) and they are time averaged to about 15 minute time intervals with the exact beginning and ending times for those intervals matching the LECP instrumental cycle periods (the angular scanning periods). The data is in the form of 'rate' data which has not been converted to the usual physical units. Data records for the version 1.1 data set provide all data for a given channel and time period (8 sectors, plus the average for all sectors) in a single record.
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.