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Dataset results
1,509 results for “Calibrations”
Internally Calibrated ChIP-seq (ICeChIP-seq) using a large panel of antibodies against H3K4 methylations to measure genome-wide histone modification density in mammalian cells
GEO Series GSE103543. Homo sapiens; Mus musculus. 25 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
TMPRSS2-ERG, HDACs and EZH2 are involved in an AR-centric transcriptional circuitry that calibrates androgenic response for prostate cancer progression (ChIP-Seq data)
GEO Series GSE28950. Homo sapiens. 15 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Calibration data EPIC array: Mouse and Rat
GEO Series GSE174568. Mus musculus; Rattus norvegicus; Homo sapiens. 28 samples. Type: Methylation profiling by array.
Calibration of a custom designed microarray
GEO Series GSE36800. Cottus. 7 samples. Type: Expression profiling by array.
Calibration data mammalian array: Human, Mouse, Rat
GEO Series GSE174567. Homo sapiens; Mus musculus; Rattus norvegicus. 45 samples. Type: Methylation profiling by array.
TMPRSS2-ERG, HDACs and EZH2 are involved in an AR centric transcriptional circuitry that calibrates androgenic response for prostate cancer progression (gene expression after ERG KD)
GEO Series GSE35540. Homo sapiens. 4 samples. Type: Expression profiling by array.
TMPRSS2-ERG, HDACs and EZH2 are involved in an AR-centric transcriptional circuitry that calibrates androgenic response for prostate cancer progression (gene expression data)
GEO Series GSE28948. Homo sapiens. 8 samples. Type: Expression profiling by array.
Antigen calibration of T Cell Receptor signalling strength and T cell differentiation in vivo
GEO Series GSE165817. Mus musculus. 21 samples. Type: Expression profiling by high throughput sequencing.
Calibration of cell-intrinsic Interleukin-2 response thresholds guides design of a regulatory T cell biased agonist
GEO Series GSE162928. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
CD4+ T cell calibration of antigen-presenting cells optimizes antiviral CD8+ T cell immunity
GEO Series GSE171690. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing.
Calibrated native ChIP-seq for H2AK119ub1 and H3K27me3 in FKBP12-PCGF3/5 mESCs
GEO Series GSE185769. Mus musculus. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Calibration array
GEO Series GSE93063. Cottus rhenanus; Cottus; Cottus perifretum. 16 samples. Type: Genome variation profiling by array.
Calibrated CAR activation potential directs alternative T cell fates and therapeutic potency
GEO Series GSE121226. Homo sapiens. 27 samples. Type: Expression profiling by high throughput sequencing.
Figure 3 from: Wiemers M, Chazot N, Wheat CW, Schweiger O, Wahlberg N (2020) A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938: 97-124. https://doi.org/10.3897/zookeys.938.50878
Figure 3 Time-calibrated tree of European butterflies. Grey bars indicate gene coverage per taxon.
KALIv2: calibration and validation experiment results
<p>The presented .zip archive consists of calibration and validation results we obtained while investigating the effect of calibration data length on the performance of different hydrological models.</p> <p>For more information, please visit our GitHub repository at <a href="https://github.com/hydrogo/KALIv2">https://github.com/hydrogo/KALIv2</a>.</p>
TempSense Calibration and Testing Data
<p>Data from ice-point and boiling-point calibrations of TempSense temperature sensor and data from demonstration of an aluminum bar with heated at one end with spaced thermocouples. </p>
MicN model calibration and calibration data
<p>MicN model calibration and validation data, including concentrations of ammonium and nitrate and N2O emission.</p>
Data from: It's all in the timing: calibrating temporal penalties for biomedical data sharing
Objective: Biomedical science is driven by datasets that are being accumulated at an unprecedented rate, with ever-growing volume and richness. There are various initiatives to make these datasets more widely available to recipients who sign Data Use Certificate agreements, whereby penalties are levied for violations. A particularly popular penalty is the temporary revocation, often for several months, of the recipient's data usage rights. This policy is based on the assumption that the value of biomedical research data depreciates significantly over time; however, no studies have been performed to substantiate this belief. This study investigates whether this assumption holds true and the data science policy implications. Methods: This study tests the hypothesis that the value of data for scientific investigators, in terms of the impact of the publications based on the data, decreases over time. The hypothesis is tested formally through a mixed linear effects model using approximately 1200 publications between 2007 and 2013 that used datasets from the Database of Genotypes and Phenotypes, a data-sharing initiative of the National Institutes of Health. Results: The analysis shows that the impact factors for publications based on Database of Genotypes and Phenotypes datasets depreciate in a statistically significant manner. However, we further discover that the depreciation rate is slow, only ∼10% per year, on average. Conclusion: The enduring value of data for subsequent studies implies that revoking usage for short periods of time may not sufficiently deter those who would violate Data Use Certificate agreements and that alternative penalty mechanisms may need to be invoked.
Towards calibrating for bottom water oxygenation using magnetofossils: New insights from Southeast Atlantic and Northeast Pacific surface sediments
Open the record for dataset details and reuse information.
The First Evaluation of Newly Calibrated MODIS Infrared Water Vapour Observations in the Iqaluit, Arctic
<p>This dataset has not been published yet. This dataset corresponds to the GRL submission. It will be updated based on the GRL publication</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.