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Dataset results
8,038 results for “validation.”
Functional Validation and Mechanistic Insights into Cadmium Removal by the Green Microalgae Coelastrella tenuitheca S93-3
GEO Series GSE313091. Coelastrella tenuitheca. 9 samples. Type: Expression profiling by high throughput sequencing.
RNA-Seq Analysis of p53 Knockdown validated Human SU. 86.86 Pancreatic Cancer cells
GEO Series GSE206943. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Validation of Differentially Expressed Immune Biomarkers in Latent and Active Tuberculosis by Real-Time PCR
GEO Series GSE168247. Homo sapiens. 379 samples. Type: Expression profiling by RT-PCR.
Validation of molecularly-defined olfactory bulb projection neurons targeting anterior or posterior brain areas
GEO Series GSE176350. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Identification and validation of KIF20A for predicting prognosis and treatment outcomes in patients with breast cancer
GEO Series GSE280284. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
TOXICOLOGY TAILORED LOW DENSITY MICROARRAY FOR THE THICKLIP GREY MULLET Chelon labrosus DEVELOPMENT, PRODUCTION AND VALIDATION
GEO Series GSE35054. Chelon labrosus. 68 samples. Type: Expression profiling by array.
Oral Cavity Cancer Compared to Adjacent "Normal" Tissue [Validation Set]
GEO Series GSE42743. Homo sapiens. 103 samples. Type: Expression profiling by array.
Validation of the Personalized Gene Therapy by stably transfection of PANK2 in the papillary (BCPAP) and anaplastic (8505C) thyroid cancer cell lines
GEO Series GSE97030. Homo sapiens. 8 samples. Type: Expression profiling by array.
Dual-transcriptomic analysis of human nasal transcriptome and microbiome reveals host-bacteria interactions associated with symptomatic respiratory infection (16S validation)
GEO Series GSE309134. Homo sapiens. 53 samples. Type: Other.
Mathematical approach to the validation of surface texture filtration software
<pre>A novel method for the validation of surface texture filtration software is introduced. Mathematically traceable reference pairs for linear Gaussian filtration are developed, utilising Fourier series surface definitions in conjunction with the frequency dependent transmission characteristic of the linear Gaussian filter. The novel method is demonstrated using a library of reference pairs to validate the performance of five surface texture analysis software packages. Investigations into the effects of different surface properties are made in relation to the deviation of the software-obtained results from the traceable reference values. Analysis of variance tests are used to verify the statistical significance of the results.</pre>
Mathematical approach to the validation of surface texture form removal software
<pre>A new approach to the validation of surface texture form removal methods is introduced. A linear algebra technique is presented that obtains total least squares (TLS) model fits for a continuous mathematical surface definition. This model is applicable to both profile and areal form removal, and can be used for a range of form removal models including polynomial and spherical fits. The continuous TLS method enables the creation of mathematically traceable reference pairs suitable for the assessment of form removal algorithms in surface texture analysis software. Multiple example reference pairs are presented and used to assess the performance of four tested surface texture analysis software packages. The results of each software are compared against the mathematical reference, highlighting their strengths and weaknesses.</pre>
FIGURE 1 in Validation of Anemia lepigera (Anemiaceae)
FIGURE 1. One of the type sheets of Anemia lepigera
Figs. 1–2 in The Validity of Xyleborus impressus Eichhoff (Coleoptera: Curculionidae: Scolytinae) as Distinct from Xyleborus ferrugineus (Fabricius)
Figs. 1–2. Declivity of Xyleborus ferrugineus.
FIGURE 1 in A benefit to biodiversity assessment: An Indian survey demonstrates that Cheiriphotis geniculata is a misidentification of the valid species Photis geniculata Barnard, 1935 (Crustacea: Amphipoda)
FIGURE 1. Map showing the sampling site in Valanthakad island,Vembanad lake, Kerala, India.
Ataset of the publication "Is red distribution width a valid tool to predict impaired iron transport in heart failure?"
<p>Background: Impaired iron transport (IIT) is a form of iron deficiency (ID) defined as transferrin saturation (TSAT) < 20% irrespective of serum ferritin levels. It is frequently observed in heart failure (HF) where it negatively affects prognosis irrespective of anaemia. Objectives: In this retrospective study we searched for a surrogate biomarker of IIT. Methods: We tested the predictive power of red distribution width (RDW), mean corpuscular volume (MCV) and mean corpuscular haemoglobin concentration (MCHC) to detect IIT in 797 non-anaemic HF patients. Results: At ROC analysis, RDW provided the best AUC (0.6928). An RDW cut-off value of 14.2% identified patients with IIT, with positive and negative predictive values of 48 and 80%, respectively. Comparison between the true and false negative groups showed that estimated glomerular filtration rate (eGFR) was significantly higher (p = 0.0092) in the true negative vs. false negative group. Therefore, we divided the study population according to eGFR value: 109 patients with eGFR ≥ 90 ml/min/1.73 m2, 318 patients with eGFR 60-89 ml/min/1.73 m2, 308 patients with eGFR 30-59 ml/min/1.73 m2 and 62 patients with eGFR < 30 ml/min/1.73 m2. In the first group, positive and negative predictive values were 48 and 81% respectively, 51 and 85% in the second group, 48 and 73% in the third group and 43 and 67% in the fourth group. Conclusion: RDW may be seen as a reliable marker to exclude IIT in non-anaemic HF patients with eGFR ≥60 ml/min/1.73 m2.</p>
ATR - phosphoproteomics - DHX9 validation HeLa & HEK293
<p>Scripts used for the establishment of the elution time window in the DHX9 IP samples. Annotated spectra also available.</p>
Dataset for "Validation of SSDE calculation in a modern CT scanner and correlation with effective dose"
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Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022.
<p>Validation dataset and reference code for <strong>Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022</strong>. </p> <p>Please refer to our website: <strong>https://vessel-wall-segmentation-2022.grand-challenge.org/</strong>.</p>
validation
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Validation dataset for StrikeLearn
<p>Titre: Validation data for StrikeLearn.<br>Annee: 2024<br>Projet: Exploration et exploitation de marqueurs de failles sismiques dans les images satellitaires par IA<br>Auteurs: Sarah Visage, Lea Pousse, Sophie Giffard-Roisin, Sarah Perrinel.<br>Projet finance par RT CNES </p>
ScienceDex guides
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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.