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Dataset results
641 results for “data validation”
CALIPSO Wide Field Camera Level 1B 1 km Registered Science data, Validated Stage 1 V3-01
CAL_WFC_L1_IIR-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Registered Science data. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).
GPM Ground Validation Kumpula Mast Meteorological Data LPVEx V1
The GPM Ground Validation Kumpula Mast Meteorological Data LPVEx dataset is comprised of temperature, radiation, and wind measurements collected by the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) Kumpula Mast in Helsinki, Finland. This occurred during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological dataset files are available from September 17 through October 21, 2010 in ASCII text format.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse liver transcriptomic proteomic and epigenomic data
RR-1 is a validation flight to evaluate the hardware operational and science capabilities of the Rodent Research Project on the ISS. RNA DNA and protein were purified from liver tissues from RR-1 mice (female C57BL/6J 16wk old at time of launch). From each group two liver samples were collected and frozen immediately after euthanasia. The rest of the liver samples from each group were collected from frozen carcasses dissected post-flight. RNA-Seq whole genome and RNA BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed. RNA extracted from these tissues was re-sequenced; these data are available as part of GLDS-168 (https://genelab-data.ndc.nasa.gov/genelab/accession/GLDS-168).
Rodent Research-1 (RR1) NASA Validation Flight: Mouse kidney transcriptomic proteomic and epigenomic data
NASA s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse quadriceps muscle transcriptomic proteomic and epigenomic data
NASA s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
CALIPSO Wide Field Camera Level 1B 1 km Native Science data, Validated Stage 1 V3-02
CAL_WFC_L1_1Km-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC), Level 1B 1 km Native Science data, Validated Stage 1 Version 3-02. Data collection for this product is ongoing. Version 3.02 represents a transition of the Lidar, Imaging Infrared Radiometer (IIR), and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced, and minor changes were observed between V3.01 and V3.02 due to the compiler and computer architecture differences. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During regular operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The WFC Level 1B 1 km Native Science grid covers the 61 km swath centered on the Lidar track. CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), IIR, and WFC. CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).
Rodent Research-1 (RR1) NASA Validation Flight: Mouse gastrocnemius muscle transcriptomic proteomic and epigenomic data
NASA s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment (RR-1) a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
Chromosomal microarray data for validation of copy-number variants detection from a low-coverage whole-genome sequencing approach in clinical samples
GEO Series GSE73191. Homo sapiens. 72 samples. Type: Genome variation profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array.
Circulating Cell-Free RNA in Blood as a Host Response Biomarker for the Detection of Tuberculosis [validation_data]
GEO Series GSE255074. Homo sapiens. 60 samples. Type: Expression profiling by high throughput sequencing.
Longitudinal clinico-genomic data generation, drugable target development and multi-sites validation for drug development enhancement
GEO Series GSE183984. Homo sapiens. 113 samples. Type: Expression profiling by high throughput sequencing.
Identification and validation of single sample breast cancer radiosensitivity gene expression predictors [Nanostring custom assay data]
GEO Series GSE103745. Homo sapiens. 336 samples. Type: Expression profiling by array.
Identification and validation of single sample breast cancer radiosensitivity gene expression predictors [Illumina HT12 v4 data]
GEO Series GSE103744. Homo sapiens. 172 samples. Type: Expression profiling by array.
CD8+ T cells in peripheral blood lymphocytes and tumor-infiltrating lymphocytes of melanoma patients: additional validation data
GEO Series GSE153098. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
CNA data from The human glioblastoma cell culture resource: validated cell models representing all molecular subtypes
GEO Series GSE72209. Homo sapiens. 48 samples. Type: Genome variation profiling by SNP array.
Microarray gene-expression data to identify a robust biomarker signature in PDAC and validate it in formalin-fixed paraffin-embedded tissue material.
GEO Series GSE101448. Homo sapiens. 43 samples. Type: Expression profiling by array.
Microarray gene-expression data to validate a 17-gene biomarker obtained from excessive meta-analysis to test its PDAC specificity in the presence of pancreatitis tissues.
GEO Series GSE101462. Homo sapiens. 20 samples. Type: Expression profiling by array.
Three-dimensional hydraulic tomography analysis of long-term municipal wellfield operations: Validation with synthetic flow and solute transport data
<p>Attached are the datasets utilized to accomplish the study of "<em>Three-dimensional hydraulic tomography analysis of long-term municipal wellfiled operations: Validation with synthetic flow and solute transport data". </em>Basically, it includes the information of the discrete model and assigned, wells as well as the generated synthetic hydraulic head and solute concentration data.</p>
Validation data: Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance
<p>Validation data used in the analysis presented by Legaard et al. (in review). Validation data are sufficient to replicate model comparisons presented in this paper. Note that model training data were provided by the USDA Forest Service, Forest Inventory and Analysis Program through a collaborative agreement, are maintained by the USDA Forest Service as confidential, and cannot be shared.</p> <p>Legaard, K., Simons-Legaard, E., Weiskittel, A., Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance, Remote Sensing, in review.</p>
Input data for manuscript "An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea level altimetry"
<p>Input data for Fagundes et al. (2021), "An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea level altimetry", GPS Solutions (in press). <a href="https://www.researchgate.net/publication/341946011">preprint</a></p>
Data for validation STEC workflow
<p>Additional data<br> ========</p> <p>This archive contains additional data for the manuscript "Validation of a bioinformatics workflow for characterization of Shiga Toxin-Producing *Escherichia coli*, applied to a high-quality reference dataset, demonstrates high performance for using WGS for routine pathogen typing"</p> <p># Notes</p> <p>Samples were analyzed with anonymized file names. They can be linked back to the original sample name as indicated in the Excel sheet.</p> <p># Content</p> <p>## Validation results ('all_results.xlsx')</p> <p>This spreadsheet contains detailed results for the validation. It contains all workflow output, corresponding metadata and classification (TP, FN, TN or FP).</p> <p>## KMA output ('kma.tar')</p> <p>This folder contains the output from KMA for the various assays. They were executed in isolation for each of the assays (instead of with the workflow). </p> <p><br> ## Example reports ('report_EH1236_*.zip')</p> <p>Example output reports of the workflow for each of the three detection methods on the same sample (EH1236).</p> <p><br> ## Virulence gene custom database ('virulence_genes_db.fasta')</p> <p>This folder contains a FASTA file with the sequences that were used to evaluate the performance of the virulence gene detection.</p> <p>## Virulence gene detection ('virulence_gene_detection.tar')</p> <p>This folder contains the output of the virulence gene detection for the three detection methods.<br> This was executed separately because the custom virulence gene database is not included in the bioinformatics workflow.</p> <p>## Workflow reports ('workflow_reports_updated.tar')</p> <p>This folder contains the output of the workflow for all of the validation samples with the three detection methods. <br> All runs were executed in August 2020, with database updated to the latest available version. <br> A single archive is created for each sample, containing the output for the three bioinformatics approaches (BLAST+, KMA, SRST2).<br> BAM files were omitted from the archives due to their large sizes.</p> <p>## Workflow reports - validation ('workflow_reports_validation.tar')</p> <p>This folder contains the output reports used for the validation (with older database version, etc).<br> This does not include KMA results because they were validated per-assay (see KMA archive).</p> <p># Contact</p> <p>For further questions you can contact Bert Bogaerts (bert.bogaerts@sciensano.be)<br> </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.