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1,600 results for “input”
Low-input, deterministic profiling of single-cell transcriptomes reveals individual intestinal organoid subtypes comprised of single, dominant cell types [SPM]
GEO Series GSE148092. Homo sapiens; Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Low input ATAC-seq of CD27− or CD27+ ESLAMSK cells under homeostatic conditions [ATAC-seq]
GEO Series GSE293755. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
HeLa input control in high salt condition
GEO Series GSE17352. Homo sapiens. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Profiling R loop in mouse and human hematopietic cells with low cell input using S9.6 antibody coupled cut&tag [MOLM13]
GEO Series GSE246746. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Influence of low-input RNA from FF and FFPE samples on gene expression quantification by NanoString, microarray and RNA-seq: a comparative study [NanoString]
GEO Series GSE117670. Mus musculus. 108 samples. Type: Other.
Profiling R loop in mouse and human hematopietic cells with low cell input using S9.6 antibody coupled cut&tag [cut&tag K562]
GEO Series GSE246552. Homo sapiens. 30 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The UzcRS two-component system integrates regulatory input from a diverse set of auxiliary regulators
GEO Series GSE108075. Caulobacter vibrioides. 5 samples. Type: Expression profiling by high throughput sequencing.
Median Raphe Glutamatergic and Serotonergic Inputs Support Recruitment of Hippocampal CA1 VIP Interneurons During Novel Experience
GEO Series GSE294910. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
DMF-ChIP-seq for Highly Sensitive and Integrated Epigenomic Profiling of Low-input Cells
GEO Series GSE267187. Mus musculus; Homo sapiens. 23 samples. Type: Expression profiling by high throughput sequencing.
C elegans N2 Late embryo input control
GEO Series GSE33594. Caenorhabditis elegans. 5 samples. Type: Expression profiling by high throughput sequencing.
Balmorel input data for comparative modelling of CSP + TES and PVS
<p><strong>Description of the dataset</strong></p> <p>This dataset holds all Balmorel model input data as well as the Balmorel code used for the scenarios of the paper 'Making the sun shine at night: Comparing Concentrating Solar Power and Photovoltaics with battery storage' submitted to 'Energy Sources, Part B: Economics, Planning, and Policy.'</p> <p><strong>Data format</strong></p> <p>We provide the data in form of the data folders holding the .inc files for all scenarios as well as the Balmorel model folder containing the GAMS code.</p> <p>The original Balmorel source code is available under https://github.com/balmorelcommunity/Balmorel under the ISC license. It was adapted in order to include a new technology generating electricity from heat (GETOH). The inputs for this development were kindly supported by DTU and Ea Energy Analyses with previously done works</p> <p> </p>
Input data for a spatial urban sprawl model
<p>Input data for projecting global urban extent under future shared socioeconomic pathways (2010-2100)</p>
XGC coupling inputs
<p>This is the simplified version of the ADIOS2 supported in-memory coupling input for XGC provided by Gabriele Merlo.</p>
Passive seismic dataset to "Variable water input controls evolution of the Lesser Antilles volcanic arc" by Cooper et al.
<p>This repository contains supplementary passive seismic datasets to Cooper et al. (2020, Nature). This description serves as the README file for this repository and each component of this dataset is described below.</p> <p><strong>1. station_metadata.tar.gz</strong></p> <p> This compressed tar.gz file contains directories for each seismic network comprising a single STATIONXML file with the metadata for all stations in that network. The stationxml files can be read using ObsPy's <a href="https://docs.obspy.org/packages/autogen/obspy.core.inventory.inventory.read_inventory.html">read_inventory</a> module.</p> <p>This file can be uncompressed using the following command: </p> <pre><code class="language-bash">tar -xvzf station_metadata.tar.gz</code></pre> <p> </p> <p><strong>2. local_earthquake_catalog_2016-2017_BieEtAl.xml</strong><br> Raw local earthquake catalogue containing magnitudes and hypocentre locations from <a href="https://doi.org/10.1785/0220190147">Bie et al. (2019; doi: 10.1785/0220190147</a>). This paper should also be cited when using this dataset. This file is in QUAKEML format and can be read using ObsPy's <a href="https://docs.obspy.org/packages/autogen/obspy.core.event.read_events.html#obspy.core.event.read_events">read_events </a>module.</p>
Vortex input files -- Florida scrub-jay PVA -- revised
<p>Input files for Vortex PVA of Florida scrub-jay, a collaboration of NASA, USFWS, TNC, SCTI, and others</p>
RAPID-MRB inputs
<p>This csv file contains calibrated K Muskingum values for the RAPID model using the VIC Land Surface Model.</p>
Chesapeake Bay Model, Multi-River and Coastal Ocean tracer, CODE, Input Files, Scripts
<p>These data supplement the article: Du, J. and J. Shen, Transport of riverine material from multiple rivers in the Chesapeake Bay: the important control from the estuarine circulation. under review at the Journal Of Geophysical Research: Biogeoscience</p> <p>contact: Jiabi Du, jiabi@vims.edu</p> <p>Below are descriptions of the data files included here:</p> <p>1. CODE.zip</p> <p>-EFDC code for Chesapeake Bay Model</p> <p>- both hydro model and tracer release model are included</p> <p>- hydro model is run separately for each year. The first year is used to spin up and not be used for further analysis. e.g, run 2000 start the mode run from 1999,1,1 and only hydrodynamics field in 2000 is saved. </p> <p>2. Model run input files.zip:</p> <p>-input files for model runs from 1984-2014</p> <p>3. Monthly mean tracer output [1985-2014]</p> <p>-netCDF format results for monthly mean tracer concentrations from different sources (Susquehanna, Potomac, Rappahannock, York, James Rivers, and Coastal Ocean)</p> <p>-grid information are also included</p> <p>4. Matlab Scripts For Plotting.zip:</p> <p>-Matlab scripts used to plot the horizontal map, the vertical profile for the along channel section, the vertical profile for cross-channel sections. The script enables users to define the period and section no to plot. </p> <p>5. tracer influx and outflux ratio at 9 cross-section.xls:</p> <p>-an excel file contains the bottom tracer influx ratio and surface tracer outflux ratio for different rivers at different sections. </p>
Input datasets for the Galactic Tomography (G-Tomo) EXPLORE app
Dust extinction density cubes at different spatial resolutions and extends
Unraveling the proteome landscape of mouse hematopoietic stem and progenitor compartment with high sensitivity low-input proteomics
Open the record for dataset details and reuse information.
Clustering has a meaning: optimization of angular similarity to detect geometric anomalies in geological terrains - Input and processed data.
<p>This companion dataset relates to the manuscript "<strong>Clustering has a meaning: optimization of angular similarity </strong></p> <p><strong>to detect geometric anomalies in geological terrains</strong>", by</p> <p>Michał P. Michalak, Lesław Teper, Florian Wellmann, Jerzy Żaba, Krzysztof Gaidzik, Marcin Kostur, Yuriy P. Maystrenko, Paulina Leonowicz</p> <p>The archive contains the input and processed data. The input data contains XYZ coordinates of points documenting the investigated interfaces. The output files contains calculated orientations and coordinates of vectors. The output files can be processed in RStudio.</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.