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1,940
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ShareScore release 0.9.0
Dataset results
1,940 results for “data sample”
Spatial transcriptomic data from longitudinal tumor samples from one patient undergoing neoadjuvant BO-112 and hypofractionated radiation therapy in soft tissue carcoma
GEO Series GSE313858. Homo sapiens. 4 samples. Type: Other.
RNA-Seq data for KRAS wild-type(WT) and two mutant forms G12V and Q61H over-expressed samples with green fluorescent protein control samples using human mammary epithelial cells
GEO Series GSE76877. Homo sapiens. 36 samples. Type: Expression profiling by high throughput sequencing.
Expression data from 42 prostate cancer samples - 16 recurrent and 26 recurrence-free
GEO Series GSE18916. Homo sapiens. 42 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Affymetrix SNP array data for Dwarf and Rhode Island Red chicken samples
GEO Series GSE130568. Gallus gallus. 176 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Near Surface Air Temperature Dataset for China with high temporal and spatial resolution generated using random forest and multi-source data (Samples)
<p>The dataset presents the daily near surface air temperature of China with 1km spatial resolution, including daily average air temperature, maximum temperature and minimum air temperature. The dataset was generated using machine learning and multiple variables, the accuracy was:T<sub>ave</sub>, R<sup>2</sup> = 0.97, RMSE = 1.61℃ and rRMSE = 13.24%; T<sub>max</sub>, R<sup>2</sup> = 0.94, RMSE = 2.35℃ and rRMSE = 13.02%; T<sub>min</sub>, R<sup>2</sup> = 0.95, RMSE = 2.04℃ and rRMSE = 27.09%).</p>
Stochastic Sampling of Operator Growth Dynamics - Monte Carlo Data
<p>Monte Carlo Data for preprint https://arxiv.org/abs/2401.06215 . The paper has been accepted to Physical Review B.</p> <p>DOI - https://doi.org/10.1103/PhysRevB.110.155135</p>
PP-recyclates characterization after different sampling and recycling strategies - Tensile tests data
<p>The purpose of this analysis is to evaluate the efficiency of different recycling procedures and the quality of the resulting recyclates.</p> <p>This dataset contains tensile testis raw data of PP-recyclates from different recycling strategies. The content is:</p> <ul> <li>One Excel file containing rensile testing data of PP recyclates after scCO2 recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after solvent-based recycling, reference samples and measurement protocol</li> <li>One Excel file containing tensile testing data of PP recyclates after upcycling, reference samples and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature</li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p> <p> </p>
Lewa Conservancy LDSF standard soil sample data
<p>LDSF soil data for Lewa.</p> <ul> <li>SSN: Sample Serial Number (in the lab)</li> <li>SOC: Soil organic carbon</li> <li>TN: Total nitrogen</li> <li>ExBas: Sum of exchangeable bases (Ca+Mg+K+Na; cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExCa: Exchangeable Ca (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExMg: Exchangeable Mg (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExK: Exchangeable K (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExNa: Exchangeable Na (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>Sand content (%)</li> <li>Clay content (%)</li> </ul>
ABS-rich model waste characterization for different sampling strategies – ATR FTIR data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw ATR-FTIR data of the model waste from the different sampling approaches. The content is:</p> <ul> <li>One Excel file containing ATR-FTIR data of the model waste, wherein the approach was based on extrusion and measurement protocol</li> <li>One Excel file containing ATR-FTIR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</li> <li>One Readme file containing further information about the methodology and nomenclature </li> </ul> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p> <p> </p> <p> </p>
ABS-rich model waste characterisation for different sampling strategies – MFR data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw MFR data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing MFR data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing MFR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Word file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
ABS-rich model waste characterisation for different sampling strategies – TGA data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw TGA data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing TGA data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing TGA data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Word file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
ABS-rich model waste characterisation for different sampling strategies – DSC data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains raw DSC data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing DSC data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing DSC data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Word file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon European project (101058670)</p>
ABS-rich model waste characterization for different sampling strategies - XRF data
<p>The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. </p> <p>A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. </p> <p>This dataset contains XRF data of the model waste from the different sampling approaches. The content is:</p> <p>·One Excel file containing XRF data of the model waste, wherein the approach was based on extrusion and measurement protocol</p> <p>·One Excel file containing XRF data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol</p> <p>·One Readme file containing further information about the methodology and nomenclature </p> <p>This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)</p>
Sparse wavelengths data in mid-infrared spectroscopy: Modelling approaches and channel sampling
<p>Milk and fungi dataset (already split in calibration and test set) in .mat format + MATLAB workspaces for i) variable selection (for milk and fungi); ii) PLSR on broadband spectra (for milk and fungi) iii) PLSR on single wavelengths (for milk and fungi); iv) PLSR on tuned wavelengths (for milk and fungi); v) PLSR test for fungi on milk selected wavelengths (FM_).</p>
Gene expression data from NCI-H295R cell line treated with rottlerin samples.
GEO Series GSE255729. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Affymetrix SNP array data for adult acute lymphoblastic leukemia samples
GEO Series GSE57018. Homo sapiens. 50 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
Affymetrix SNP array data for acute-type adult T-cell leukemia (ATL) samples
GEO Series GSE54509. Homo sapiens. 10 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Molecular, Phenotypic, and Sample-associated Data to Describe Pluripotent Stem Cell Lines and Derivatives
GEO Series GSE85828. Homo sapiens. 114 samples. Type: Methylation profiling by array.
scRNAseq data of healthy and agangionic colon whole-tissue samples from three Hirschsprung's disease patient
GEO Series GSE312486. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide expression data of breast cancer samples
GEO Series GSE59198. Homo sapiens. 154 samples. Type: Expression profiling by array.
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.