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2,516
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Dataset results
2,516 results for “Seri”
Time series of Escherichia coli BL21(DE3) after temperature upshift from 37°C to 42°C, tiling arrays
GEO Series GSE148034. Escherichia coli BL21(DE3). 9 samples. Type: Expression profiling by genome tiling array.
Chromatin structure and CTCF across the MCF10 breast cancer progression series (HiC)
GEO Series GSE98552. Homo sapiens. 4 samples. Type: Other; Third-party reanalysis.
Time series transcriptome and DNA methylome analysis of immature T-cells and reMAIT cells
GEO Series GSE88938. Homo sapiens. 26 samples. Type: Methylation profiling by genome tiling array; Non-coding RNA profiling by array; Expression profiling by array.
DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data
GEO Series GSE255888. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Molecular characterization of a series of 7 NF1-associated human MPNSTs
GEO Series GSE92647. Homo sapiens. 7 samples. Type: Genome variation profiling by genome tiling array.
Drosophila ananassae embryonic development RAMPAGE time series
GEO Series GSE89298. Drosophila ananassae. 22 samples. Type: Expression profiling by high throughput sequencing.
Analysis of gene expression with the Hmga2 allelic series.
GEO Series GSE50932. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Expression of time series data of spawning with light/dark conditions for mature adult Ciona intestinalis
GEO Series GSE31902. Ciona intestinalis. 24 samples. Type: Expression profiling by array.
Photoperiodic time-series mRNASeq assays of the sheep pars tuberalis
GEO Series GSE144677. Ovis aries. 60 samples. Type: Expression profiling by high throughput sequencing.
Discovery of progenitor signatures by time series synexpression analysis during Drosophila cell immortalization
GEO Series GSE73354. Drosophila melanogaster. 50 samples. Type: Expression profiling by high throughput sequencing; Expression profiling by array.
use of aCGH in a large series of prenatal samples
GEO Series GSE26654. Homo sapiens. 956 samples. Type: Genome variation profiling by array.
Drosophila erecta embryonic development RAMPAGE time series
GEO Series GSE89304. Drosophila erecta. 23 samples. Type: Expression profiling by high throughput sequencing.
SYNOPSIS OF SPECIES WITH PAGE AND PLATE REFERENCES-Continzmd. in New genera and species from the Belly River Series (mid-Cretaceous)
SYNOPSIS OF SPECIES WITH PAGE AND PLATE REFERENCES-Continzmd.
Seasonal time series with random collective outliers
<p>Dataset containing collections of time series ECG 1[1], ECG 2[1] and Sunspot[2].</p> <p>Each collection comprises 10 time series, where each time series has exactly one collective outlier.</p> <p>[1] https://www.cs.ucr.edu/~eamonn/discords</p> <p>[2] Andrews, D.F., Herzberg, A.M.: Data: a collection of problems from many fieldsfor the student and research worker. Springer Science & Business Media (2012)</p>
Artifact for Counterfactual Explanations for Machine Learning on Multivariate HPC Time Series Data
<p>This includes the data sets used in the SC'20 submission "Counterfactual Explanations for Machine Learning on Multivariate HPC Time Series Data".</p>
SPEI and SSI time-series datasets for the Indus Basin of Pakistan
<p>The file contains 2 datasets namely:<br> 1-Standard Precipitation and Evapotranspiration Index (SPEI) for four catchments (Chenab,Jhelum, Indus and Kabul) of the Indus Basin<br> 2-Standard Streamflow Index (SSI) for four catchments of the Indus Basin.</p> <p>SPEI:<br> The Standard Precipitation and Evapotranspiration Index (SPEI) (Vicente-Serrano et al., 2010a) is the indicator used <br> for quantification and monitoring of meteorological droughts.<br> SPEI is calculated for the four catchments (Chenab,Jhelum, Indus and Kabul) at each catchment level using gridded climate data from the CRU data set (Harris et al., 2020). <br> For catchment level SPEI calculations, gridded precipitation and Potential Evapotranspiration values extracted from CRU dataset are averaged over the catchment. A map(study_area) delineating the four catchments is provided.</p> <p>SSI:<br> The Standard Streamflow Index (SSI) (Nalbantis and Tsakiris, 2009; Modarres, 2007) is used (also called the Streamflow<br> Drought Index and the Streamflow Runoff Index) to quantify and analyze hydrological droughts.SSIs are computed at catchment outlets as shown in the attached map (study_area). Streamflow station names are Marala(for Chenab),Mangla (Jhelum), Tarbela(for Indus) and Nowshera(for Kabul).</p> <p><br> Units: Both the datasets are dimensionless </p> <p><br> References:</p> <p>Harris, I. C. and Jones, P. D.: CRU TS4.03: Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2018), https://doi.org/10.5285/10d3e3640f004c578403419aac167d82, university of East Anglia Climatic Research Unit; Centre for Environmental Data Analysis, 2020.</p> <p>Modarres, R.: Streamflow drought time series forecasting, Stochastic Environmental Research and Risk Assessment, 21, 223–233, https://doi.org/10.1007/s00477-006-0058-1, 2007.</p> <p>Nalbantis, I. and Tsakiris, G.: Assessment of hydrological drought revisited, Water Resources Management, 23, 881–897,<br> https://doi.org/10.1007/s11269-008-9305-1, 2009.</p> <p>Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A Multiscalar Drought Index Sensitive to GlobalWarming: The Standardized Precipitation Evapotranspiration Index, Journal of Climate, 23, 1696–1718, https://doi.org/10.1175/2009JCLI2909.1, https://doi.org/10.1175/2009JCLI2909.1, 2010a.</p>
Figure 4 from: Wilson CA (2020) Two new species in Iris series Chinenses (Iridaceae) from south-central China. PhytoKeys 161: 41-60. https://doi.org/10.3897/phytokeys.161.55483
Figure 4 Map of known distribution for I. dabashanensis in gray outlined in black.
Figure 6 from: Wilson CA (2020) Two new species in Iris series Chinenses (Iridaceae) from south-central China. PhytoKeys 161: 41-60. https://doi.org/10.3897/phytokeys.161.55483
Figure 6 Map of known distribution for I. probstii in gray outlined in black.
Is disruption of sleep quality a consequence of severe Covid-19 infection? A case-series examination
<p>The Covid-19 outbreak put enormous stress on the health system worldwide, and objective data to handle the emergency are still needed. We aimed to objectively assess the consequence of severe symptoms of Covid-19 infection on sleep quality through wrist actigraphy monitoring of four patients during the sub-acute recovery stage of the disease. The sleep of those patients who had experienced the most severe respiratory symptoms and who had needed prolonged intensive care unit (ICU) stay showed lower Sleep Efficiency and Immobility Time and higher Fragmentation Index compared to those patients who had experienced only mild respiratory symptoms and not requiring ICU stay. Wrist actigraphy assessment provided important clinical information about the sleep and activity levels of Covid-19 patients during the post-acute rehabilitation management.</p>
Figure 3 from: Bulbul MZH, Chowdhury TS, Misbah MMH, Ferdous J, Dey S, Hasan I, Fujii Y, Ozeki Y, Kawsar SMA (2021) Synthesis of new series of pyrimidine nucleoside derivatives bearing the acyl moieties as potential antimicrobial agents. Pharmacia 68(1): 23-34. https://doi.org/10.3897/pharmacia.68.e56543
Figure 3 MIC values for compounds 7, 9, and 14.
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.