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1,481 results for “data processing”
ebv_paper_ChIP-seq_processed_data
Open the record for dataset details and reuse information.
Data supporting the findings of "Projecting trends of arabica coffee yield under climate change: A process-based modelling study at continental scale"
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Impact of Varying Lidar Measurement and Data Processing Techniques in evaluating Cirrus Cloud and Aerosol Direct Radiative Effects
<p>Range corrected signal of the two cirrus clouds, biomass burning and dust layers, used in the analysis carried out in the paper </p>
Data for "Assessing cognitive styles through EEG-based bistable perception processing"
<p>This is the raw data collected for an ERP study on field<br> dependence-independence. Field dependence-independence (FD-I) is a widely<br> studied dimension of cognitive styles designed to measure an individual’s<br> ability to identify embedded parts of an organized visual field as entities<br> separated from that given field. The aim of the research is to determine<br> whether the brain activity features that have been found to be perceptual<br> switching indicators could serve as robust features, differentiating<br> field-dependent from field-independent participants. Previous research suggests<br> that various event related potential (ERP)-related and frequency features are<br> associated with the perceptual reversal occurring during the observation of<br> a bistable image. In this study we combined these features in the context of<br> a different experimental scheme using ambiguous and unambiguous stimuli during<br> participants’ perceptual observations.</p> <p> </p>
Data of "Effects of core electron temperature on the competing processes of whistler and electrostatic instabilities in a beam plasma"
<p>Data of simulation output for "Effects of core electron temperature on the competing processes of whistler and electrostatic instabilities in a beam plasma", including wave field, energy, temperature and particle phase density.</p>
EBD raw and processed Drugs data, generated samples.
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Processed data and model for change detection
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Processed gravity data for Evolution of enhanced magmatism at the ultraslow spreading Southwest Indian Ridge between 46°E and 53°E
<p>Mantle Bouguer gravity Anomaly (masked) in Figure 2d. Crustal thickness anomaly (masked) in Figure S2d. Crustal thickness anomaly (combined) in Figure S6.</p>
Processed grid of bathymetry and backscatter data at the Southwest Indian Ridge 50°28'E (AUV, DY40 cruise in 2016)
<p>Bathymetry and backscatter data used for this dataset were recorded during the DY40 cruise aboard R/V Xiangyanghong-10, using High-Resolution Bathymetric Sidescan Sonar System equipped by AUV QianLong-Ⅱ. The cruise took place in 2016 in the Southwest Indian Ridge 50°28'E. The sonar system was operated at 150 Hz with a swath width of 250 m, and the AUV was surveyed at an altitude of ~100 m above the seafloor at a speed of 1-2 kt with a track spacing of 400 m.</p>
Processed data for the sRNA landscape chapter
<p><strong>Processed data to be used in analyses related to the sRNA landscape. </strong></p> <p><strong>1) small RNA processed data from stem trichomes</strong>: <a href="https://zenodo.org/api/files/88937ea4-8f58-4970-a931-6f8c8388db87/2020-12-17_11-23_results_stem_trichomes.tar.gz">2020-12-17_11-23_results_stem_trichomes.tar.gz </a></p> <ul> <li>Original small RNA-seq fastq files: available at <a href="https://doi.org/10.5281/zenodo.4105911">https://doi.org/10.5281/zenodo.4105911</a></li> <li>Software: small-rna-seq-pipeline v0.4.4 available at <a href="https://zenodo.org/record/4333786">https://zenodo.org/record/4333786</a></li> </ul> <p> </p> <p><strong>2) small RNA processed data from bald stem, leaf primordium and leaf: </strong></p> <p>xxxx === to be added === xxx</p> <p> </p> <p><strong>3) mRNA-seq processed data (raw and scaled counts) from different tissues (stem trichomes, bald stem, leaf, leaf primordium): </strong> <a href="https://zenodo.org/api/files/1c5ca622-83cf-4ab6-8fc5-7c2f54dc84bb/20201117_snakemake_messenger_rnaseq_trichomes_and_other_tissues.tar.gz">20201117_snakemake_messenger_rnaseq_trichomes_and_other_tissues.tar.gz</a></p> <p>This file was obtained from the following original mRNA-seq fastq files:</p> <ul> <li>Stem trichomes of Moneymaker: <a href="https://doi.org/10.5281/zenodo.3569304">dataset available here</a></li> <li>Stem trichomes of LA0716: <a href="https://doi.org/10.5281/zenodo.3569304">dataset available here</a></li> <li>Stem trichomes of PI127826: <a href="https://doi.org/10.5281/zenodo.3611143">dataset available here</a></li> <li>Bald stems, leaf primordia and leaves of Moneymaker, LA0716 and PI127826: <a href="https://doi.org/10.5281/zenodo.3954272">datasets are available here</a>. Samples S28 to S48 were used. </li> </ul> <p>The pipeline used was <a href="https://github.com/BleekerLab/snakemake_rnaseq/releases/tag/v0.3.4)">Snakemake RNA-seq release 0.3.4</a></p> <p>The file contains:</p> <ul> <li><a href="https://zenodo.org/api/files/10c9d73a-f52b-4923-a793-2fe3326d5587/raw_counts.parsed.tsv?versionId=475a35bb-424d-48f0-bdf8-6ede0455c26e">raw_counts.parsed.tsv</a>: contains the raw counts that can be used for differential expression analysis (e.g. with DESeq2).</li> <li><a href="https://zenodo.org/api/files/10c9d73a-f52b-4923-a793-2fe3326d5587/scaled_counts.tsv?versionId=c1ae1e86-c797-42c8-ac88-f250b97d09b1">scaled_counts.tsv</a>: contains counts that are scaled between samples. This can be used for heatmap creation or PCA analysis for instance. NOT for differential analysis. </li> <li><a href="https://zenodo.org/api/files/10c9d73a-f52b-4923-a793-2fe3326d5587/samples.tsv?versionId=ebefd1b7-50cd-4408-88f6-0770d8540191">samples.tsv</a>.: a file listing the fastq files analysed. </li> <li><a href="https://zenodo.org/api/files/10c9d73a-f52b-4923-a793-2fe3326d5587/config.yaml?versionId=7e47dc9f-7a47-4fbd-9774-7dfa1a46abc1">config.yaml</a>: a file that contains the parameters used when running the pipeline. </li> </ul> <p> </p>
Supplementary processed data for Chandler et al. Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of a murine model of WT1 kidney disease
<p><strong><em>Summary datafiles for Chandler et al.</em></strong></p> <ul> <li>Processed single-cell RNA sequencing data, derived from murine glomeruli (isolated using the dynabead technique) from <em>n = 2</em> wild-type <em>Wt1<sup>+/+</sup></em> (Ctrl) and <em>n = 2</em> mutant <em>Wt1<sup>R394W/+</sup></em> (Mut) littermates of WT1 glomerulopathy, followed by 10x Genomics Chromium v3 platform.</li> <li>Please refer to associated scripts for analysis of the data: <a href="https://github.com/daniyal-jafree1995/collaborations/blob/main/Chandleretal_2022_WT1glomerulopathyscRNAseq.R">https://github.com/daniyal-jafree1995/collaborations/blob/main/Chandleretal_2022_WT1glomerulopathyscRNAseq.R</a> </li> <li>File descriptions as below: <ul> <li>barcodes.tsv.gz - barcodes file required for input to Read10X function in Seurat</li> <li>features.tsv.gz - features file required for input to Read10X function in Seurat</li> <li>matrix.mtx.gz - matrix file required for input to Read10X function in Seurat</li> <li>WT1_scRNAseq.rds - RDS file containing processed and annotated Seurat object for downstream analysis</li> </ul> </li> </ul>
Data about architectural experience influence on other's body expression processing
<p>The folder contains subjective arousal ratings, eye-tracking data (fixation times) and EEG data relative to the processing of emotional body expressions presented at the end of a virtual promenade within different architectural forms.</p> <p>Scripts are also provided for the reproducibility of statistical data analysis.</p> <p>Please refer to the "Readme.txt" file for more detailed information</p>
Expression data of male and female floral bud with Populus tomentosa during their development process.
GEO Series GSE30320. Populus sp.; Populus tomentosa. 2 samples. Type: Expression profiling by array.
Mars Atmosphere and Volatile Evolution (MAVEN) Imagining Ultraviolet Spectrometer (IUVS) Processed-level Data Product Bundle
Mars Atmosphere and Volatile Evolution (MAVEN) Imagining Ultraviolet Spectrometer (IUVS) Processed-level Data Product Bundle
OUTDATED: BfR Compilation of Processing Factors and Evaluation of Quality Controlled Data of Food Processing Studies
<p>See updated version: <a href="../records/6827098">https://zenodo.org/records/6827098</a></p>
X-ray CT data for WD and WZX during the process of spontaneous imbibition
<p>Before spontaneous imbibition, X-ray μ-CT measurement at dry condition was firstly carried out to require the base information of CT intensity. Subsequently, imbibition liquid was injected into the acrylic plastic tube to fill up to the bottom surface of the coal plug (co-current imbibition). The imbibition fluid was removed after 15 minutes of spontaneous imbibition and prepare for CT scanning. Finally, repeating the above steps completes two samples under the same condition for 60 min, 120 min, 240 min, 600 min, 1440 min successively.Due to the large size of original 3-D reconstruction data (1920×1920×3620 for sampled WD and 1920×1920×4647 for sample WZX), the image was cropped into 600×600×2350 of sample WD and 600×600×3400 of sample WZX for subsequent analysis.</p>
1.29 Å remote diffraction data and processing files of VAP crystallised in 0.5 M NaCl
<p>1.29 Å X-ray diffraction dataset collected from a crystal of <em>Vibrio</em> alkaline phosphatase grown in 0.5 M NaCl. Diffraction data were collected at the P11 beamline (DESY, Hamburg, Germany), using an X-ray wavelength of 1.033 Å. Also included are processing files form XDS and XSCALE. "SiM59_05MNaCl_remote.hkl" is the final processed reflections file.</p>
A new methodology using borehole data to measure angular distances between geological interfaces - Input and processed data
<p>This companion dataset relates to the manuscript "<strong>A new methodology using borehole data to measure angular distances between geological interfaces</strong>", by</p> <p>Michał P. Michalak<sup>a,b,</sup><a href="#sdfootnote1sym"><sup>1</sup></a>, Paweł Marzec<sup>b,</sup><a href="#sdfootnote2sym"><sup>2</sup></a>, Filip Turoboś<sup>c,</sup><a href="#sdfootnote3sym"><sup>3</sup></a>, Paulina Leonowicz<sup>d,</sup><a href="#sdfootnote4sym"><sup>4</sup></a>, Lesław Teper<sup>a,</sup><a href="#sdfootnote5sym"><sup>5</sup></a>, Paweł Gładki<sup>e,</sup><a href="#sdfootnote6sym"><sup>6</sup></a>, Michael J. Pyrcz<sup>f</sup><sup>,</sup><a href="#sdfootnote7sym"><sup>7</sup></a>,</p> <p>Mariusz Szubert<sup>g,</sup><a href="#sdfootnote8sym"><sup>8</sup></a></p> <p><a href="#sdfootnote1anc">1</a> Michał Michalak devised the project, wrote the manuscript, performed the computations and discussed the results.</p> <p><a href="#sdfootnote2anc">2</a> Paweł Marzec conducted the geological interpretation and discussed the results.</p> <p><a href="#sdfootnote3anc">3</a> Filip Turoboś conducted the statistical analysis.</p> <p><a href="#sdfootnote4anc">4</a> Paulina Leonowicz prepared the chapter about stratigraphy.</p> <p><a href="#sdfootnote5anc">5</a> Lesław Teper prepared the chapter about regional geology.</p> <p><a href="#sdfootnote6anc">6</a> Paweł Gładki participated in the study conceptualisation (discussion about distance functions)</p> <p><a href="#sdfootnote7anc">7</a> Michael Pyrcz discussed the applications of the method and revised the statistical section.</p> <p><a href="#sdfootnote8anc">8</a> Mariusz Szubert was responsible for the data acquisition.</p> <p>The archive contains the input and processed data. The input data contains XYZ coordinates of points documenting the investigated interfaces. The output files contains calculated orientations and coordinates of vectors. The output files can be processed in RStudio.</p>
The processed data of a landscape of immune microenvironment for Solid Tumors
<h3>This study provides a comprehensive and detailed atlas of the immune microenvironment for solid tumors. The dataset includes processed single-cell sequencing data from 25 types of solid tumors and 3 normal tissues.</h3>
data set related to article Sensory Profiles in School-Aged Children with Autism Spectrum Disorder: A Descriptive Study Using the Sensory Processing Measure-2 (SPM-2)
<p>This record contains raw data related to article Sensory Profiles in School-Aged Children with Autism Spectrum Disorder: A Descriptive Study Using the Sensory Processing Measure-2 (SPM-2)</p> <p>Per la richiesta di accesso al file contattare il Dr. Antonio Narzisi all'indirizzo email antonio.narzisi@fsm.unipi.it</p> <p> </p>
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.