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Dataset results
355 results for “data extraction”
Data from: Extracting phylogenetic signal from phylogenomic data: higher-level relationships of the nightbirds (Strisores)
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Data from: Airway segmentation and centerline extraction from thoracic CT – comparison of a new method to state of the art commercialized methods
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Data from: Comparison of capture and storage methods for aqueous macrobial eDNA using an optimized extraction protocol: advantage of enclosed filter
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Data from: Robust extraction of quantitative structural information from high-variance histological images of livers from necropsied Soay sheep
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Data from: Long-term storage effects in steroid metabolite extracts from baboon (Papio sp.) faeces – a comparison of three commonly applied storage methods
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Data from: Toward synthesizing our knowledge of morphology: using ontologies and machine reasoning to extract presence/absence evolutionary phenotypes across studies
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Data from: Parser extraction of triples in unstructured text
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NS001 TMS Extracted Data (FIFE)
As part of the FIFE staff science data processing effort, the FIFE Information System (FIS) extracted site average radiances from the level-1 NS001-TMS products. Data were collected by the NS001 during each of the FIFE IFC's. Selected flights were processed to level-1. The site averages were extracted from these processed images. Therefore, this data set contains a small number of observation dates for each site, but at the multiple angles provided by the grid pattern used during each flight. The data set can be used for canopy reflectance modeling studies. The site average radiances extracted from the NS001 imagery are instrument-corrected spectral radiances for each of the eight spectral bands. Geographic location and viewing and solar angles for each of 39 FIFE ground measurement sites are also included for each observation. The sensor calibrated radiance values were corrected using atmospheric aerosol optical thickness and gaseous absorption profile measurements, when available. The atmospheric correction algorithm of Fraser et al. (1989) was used to calculate reflectance in the visible and infrared channels. The thermal data are corrected using parameters derived from the Lowtran7 atmospheric path radiance model (Kneizys et al., 1988).
Satellite SPOT Extracted Data (FIFE)
The Site Reflectances Extracted from SPOT HRV Imagery Data Set contains the average instrument corrected spectral radiances for each of the spectral bands (3 in XS and 1 in PAN) collected during the growing seasons of 1987, 1988, and 1989. In addition, the associated view angles and solar angles are available for each of 39 FIFE ground measurement sites. The data set also contains reflectances and exoatmospheric reflectances for these spectral bands. These reflectances were derived using the sensor calibrated radiance values corrected using atmospheric aerosol optical thickness and gaseous absorption profile measurements, when available. The atmospheric correction algorithm of Fraser et al. (1989) was used to calculate reflectance in the visible and infrared channels.
Satellite AVHRR Extracted Data (FIFE)
The Advanced Very High Resolution Radiometer (AVHRR) is a four- or five-channel scanning radiometer capable of providing global daytime and nighttime sea-surface temperature and information about ice, snow, and clouds. The sensor measures emitted and reflected radiation in five channels (bands) of the electromagnetic spectrum. The Site Average Reflectances Extracted from AVHRR-LAC Imagery Data Set consists of averages of pixel extracts from AVHRR-LAC (1 km resolution) scenes that overlay the FIFE site. Average radiances for dates are available for the five sensor wavebands and average reflectance and exoatmospheric reflectances are available for wavebands 1 and 2. Site averages are clustered in 1987 and during the summer of 1989. Some data are also available for early 1988. The AVHRR is capable of operating in both real-time or recorded modes. Direct readout data were transmitted to ground stations of the automatic picture transmission (APT) class at low-resolution (4x4 km) and to ground stations of the high-resolution picture transmission (HRPT) class at high resolution (1x1 km). Data recorded on board were available for processing in the NOAA Central Computer Facility. They included local area coverage (LAC) data which were from selected portions of each orbit with a 1x1 km resolution. The precision of satellite remote sensing estimates of surface reflectance (Hall et al., 1992), calibrated and corrected for atmospheric effects, was no worse than about 1 percent absolute.
End Sequence Analysis ToolKit (ESAT) expands the extractable information from single cell RNA-Seq data
GEO Series GSE79651. Mus musculus; Rattus norvegicus. 14 samples. Type: Expression profiling by high throughput sequencing.
Expression data from MOLT-4 Cells treated with Cannabis extract
GEO Series GSE154287. Homo sapiens. 2 samples. Type: Expression profiling by array.
Expression data from the cerebral cortex of sugarcane top ethanolic extract (STEE)-administered SAMP8 mice, water-administered SAMP8 mice, and water-administered SAMR1 mice.
GEO Series GSE151727. Mus musculus. 6 samples. Type: Expression profiling by array.
Expression data from C2C12 myotubes treated with sugarcane top ethanolic extract (STEE) and control C2C12 myotubes.
GEO Series GSE243411. Mus musculus. 6 samples. Type: Expression profiling by array.
Expression data from HepG2 hepatocytes treated with sugarcane top ethanolic extract (STEE) and control HepG2 cells.
GEO Series GSE243412. Homo sapiens. 6 samples. Type: Expression profiling by array.
Data from: Extraction and separation of active ingredients in Schisandra chinensis (Turcz.) Baill and the study of their antifungal effects
Schisandra chinensis extracts (SEs) have traditionally been used as an oriental medicine for the treatment of various human diseases, however, their further application in the biocontrol of plant disease remains poorly understood. This study was conducted to develop eco-friendly botanical pesticides from extracts of S. chinensis and assess whether they could play a key role in plant disease defense. Concentrated active fractions (SE-I, SE-II, and SE-III) were obtained from S. chinensis via specific extraction and separation. Then, lignan-like substances, such as Schisanhenol B, were detected via High-Performance Liquid Chromatography-ElectroSpray Ionization-Mass Spectrometry (HPLC-ESI-MS) analyses of the active fractions. Moreover, the results from biological tests on colony growth inhibition and spore germination indicated that SE-I, SE-II, and SE-III could inhibit hyphal growth and spore generation of three important plant pathogenic fungi (Monilinia fructicola, Fusarium oxysporum, and Botryosphaeria dothidea). The study of the mechanisms of resistant fungi revealed that the oxidation resistance system, including reactive oxygen species (ROS), malondialdehyde (MDA), catalase (CAT), and superoxide dismutase (SOD), was activated. The expression of genes related to defense, such as pathogenesis-related protein (PR4), α-farnesene synthase (AFS), polyphenol oxidase (PPO), and phenylalanine ammonia lyase (PAL) were shown to be up-regulated after treatment with SEs, which suggested an increase in apple immunity and that fruits were induced to effectively defend against the infection of pathogenic fungi (B. dothidea). This study revealed that SEs and their lignans represent promising resources for the development of safe, effective, and multi-targeted agents against pathogenic fungi.
Data from: Towards a Methodology for Technoscientific Objects Extraction (Short Paper)
<p>This dataset includes data adopted in the paper "Towards a Methodology for Technoscientific Objects Extraction (Short Paper)". </p> <p>The file "articles_urls_2022.txt.zip" is an archive containing a txt file; each line of the txt file is an article URL. </p> <p>The libraries adopted to process the articles are reported in the paper or in the paper references. </p>
Microscopy and track data for extraction of accurate cytoskeletal actin velocity distributions
<p>This data accompanies the paper <strong>Extraction of accurate cytoskeletal actin velocity distributions from noisy measurements</strong> by C M Miller, E Korkmazhan, and A R Dunn.</p> <p>The data include actin speckle microscopy videos and corresponding track files containing coordinates and other information from tracked speckles. These data were collected in both human foreskin fibroblasts (HFFs) and human umbilical vein endothelial cells (HUVECs). Each data "set" contains one group of fixed cells, and one or more groups of live cells. </p> <p>Further information about the data structure is supplied in the README doc, and further experimental detail in the accompanying paper: https://doi.org/10.1101/2020.08.13.247304 </p>
Data extraction and Quality assessment consensus only
<p>This file , contain data regarding "Data extraction and Quality assessment consensus only". Data were extraxted during a systematic review and mea-analysis study.</p>
LCMS data of Oyster Mushroom (Pleurotus ostreatus) Extract
<p>LCMS data and Total Chromatogram of Oyster Mushroom (Pleurotus ostreatus) Extract</p>
ScienceDex guides
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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.