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1,079 results for “source data”
Magnetic particle-antiparticle creation and annihilation - source data
<p>Soruce data for "<em>Magnetic particle-antiparticle creation and annihilation"</em>, including electron microscopy data in dm4 format that can be opened by Gatan Microscopy Suite software 3.0+, and source data for three-dimensional magnetic structures from micromagnetic simulations that can be opened by Mumax3 software.</p>
Source data for "In-degree centrality in a social network is linked to coordinated neural activity"
<p>The following includes the source data for the manuscript titled "In-degree centrality in a social network is linked to coordinated neural activity". A second version of the source data ("Source Data_updated_011222.xlsx") includes the source data for the figures in the supplementary materials.</p>
Data and code for zu Ermgassen et al. "Addressing indirect sourcing in zero deforestation commodity supply chains"
<p>Data and code required to reproduce figures and stats quoted in zu Ermgassen et al. "Addressing indirect sourcing in zero deforestation commodity supply chains"</p>
differential harvest problem source + data + results
<p>- source codes (ILP, CP, LocalSolver, VRPSolver)<br> - instance files<br> - result files</p>
Co-condensation of proteins with single- and double-stranded DNA. Source Data
<p>Source data for: Co-condensation of proteins with single- and double-stranded DNA, PNAS, 2022</p>
Source data for "High-κ perovskite membranes as insulators for two-dimensional transistors"
<p>IMPORTANT: The data must not be reused in other studies or publications without the approval of the corresponding authors. Additional data related to this paper may be requested from the corresponding authors upon reasonable request.</p>
Bestbiosurf supplementary files, data sources, and scripts
<p>Sources archive containing predicted NRPS clusters, networks, and supporting code for the Bestbiosurf consortium project https://www.cobiotech.eu/funded-projects/1st-call/bestbiosurf</p>
Source Data_Selective plasticity of callosal neurons following TBI.
<p>Source data for the paper in Nature Communication: Selective plasticity of callosal neurons in the adult contralesional cortex following murine traumatic brain injury.</p> <p> </p>
Source code and data used in "Reliable Editions from Unreliable Components"
<p>Source code and data used in Riddell, A. B. (2022). Reliable Editions from Unreliable Components: Estimating Ebooks from Print Editions Using Profile Hidden Markov Models.</p>
Moisture sources data of Tianshan Mountains
<p>This version of the data has modified some of the problems of previous versions: the timestamp and data storage have been modified to make it clear to other users.</p> <p>This dataset was used in a manuscript entitled "Lagrangian analysis of moisture sources of Tianshan Mountain precipitation" that has been submitted to JGR: Earth and Space Science</p> <p>Files:<br> The dataset contains two folders: one for evaporative moisture within the Planetary Boundary Layer (PBL), and the other for evaporative moisture above the PBL. Each folder has four NetCDF files, representing each of the four divisions of the Tianshan Mountains.</p> <p>License:<br> This dataset is licensed under a Creative Commons Attribution 4.0 International License (CC-BY).</p> <p>How to cite the data?<br> When using this dataset, please refer to the original publication in addition to this Zenodo repository:</p> <p>Guan. X, Langhamer, L., Schneider, C.: "Lagrangian analysis of moisture sources of Tianshan Mountain precipitation", 2022 (submitted to JGR: Earth and Space Science)</p> <p>For questions please write to xuefengg@hu-berlin.de</p>
Source data and code for manuscript 'An executive network for the control of sequence-behavior in pigeons'
<p>The contents of this folder are part of the submission of the manuscript entitled 'An executive network for the control of sequence-behavior in pigeons', by Lukas Alexander Hahn & Jonas Rose</p> <p>Contact: lukas.hahn@ruhr-uni-bochum.de</p> <p>Data and code have been compressed into a .zip folder each. Unpack the contents of the folders to use the dataset. The dataset is split into two main folders and one Matlab file:</p> <p>'code'<br> contains all analysis code to produce all figures and reported statistics of the manuscript (refer to the<br> MATLAB live script 'manuscriptResultsLiveScript.mlx' to run the analysis, please adjust the path information of where the data is stored on your computer).</p> <p>'RESULTSSTATISTICS.mat'<br> contains all reported statistical values (generated by 'manuscriptResultsLiveScript.mlx')</p> <p>'sourceData'<br> Contains all required source data files (i.e. pre-processed data) required to run the analyses stored in 'code'.</p> <p>Data related to animal behavior was recorded using MATLAB (R2016b). Electrophysiological data was recorded by NeuroNexus microelectrodes and an INTAN RHD2000 headstage on an INTAN USB-Interface board, with a sampling rate of 30 kHz and was subsequently filtered for spike sorting at bandpass 0.5 - 7.5 kHz.</p> <p>Data format is the MATLAB '.mat' type (which can be loaded in by MATLAB, or alternatively by the freely available Octave Software (https://www.gnu.org/software/octave)).<br> Data is organized in MATLAB structures, one file per session for behavioral results, one file per neuron for different alignments and preprocessing conditions (refer to manuscriptResultsLiveScript).<br> Structures contain individual matrices (labelled by a descriptive name) that contain numerical values or character strings.<br> Matrices labelled by the keyword 'Info' contain character strings that give a brief description of the loaded data.<br> Source data contains two separate folders containing data of animal 1 ('P855'), and animal 2 ('T1003').</p> <p>Data was sorted into different subsets, for analysis of individual task phases. Subfolder 'NCL' refers to 'nidopallium caudolaterale', 'NIML' refers to 'nidopallium intermedium mediale pars laterale', the recorded brain regions.</p> <p> </p>
Data Supplement: Open-source model-based reconstruction in Julia (ISMRM 2022)
<p>Dataset to accompany the abstract presented at ISMRM 2022:</p> <p>Open-source model-based reconstruction in Julia: A pipeline for spiral diffusion imaging</p> <p>Instructions after download are found at the github link for the project.</p>
Source Data For: "Focused ultrasound excites action potentials in mammalian peripheral neurons in part through the mechanically gated ion channel Piezo2"
<p>Source Data For: "Focused ultrasound excites action potentials in mammalian peripheral neurons in part through the mechanically gated ion channel Piezo2"</p>
Source concepts for language data
<p>An Excel spreadsheet containing the data for the paper "Mouths, tongues, and ears: Source concepts for 'language' across Africa".</p>
Source data and codes for the paper "Inviting atomic mechanics to macro-continua: A study on monocrystalline Si using a spatial multilevel coarsening model"
<p>Source data and codes for the paper "Inviting atomic mechanics to macro-continua: A study on monocrystalline Si using a spatial multilevel coarsening model"</p> <p>This file includes </p> <p>- Source data for Figs 1-5 and Supplementary Materials</p> <p>- LAMMPS codes and raw log files used to produce the results of this study</p> <p> </p>
Dynamic implicit modeling of tunnel unfavorable geology based on multi-source data fusion using support vector machine
<p>This is the relevant data of the article "Dynamic implicit modeling of tunnel unfavorable geology based on multi-source data fusion using support vector machine"</p>
Elemental and S isotopic composition data for "Sulfur isotopic fractionation of the youngest Chang'e-5 basalts: Constraints on the magma degassing and geochemical features of the mantle source"
<p>Data for "Sulfur isotopic fractionation of the youngest Chang'e-5 basalts: Constraints on the magma degassing and geochemical features of the mantle source".</p>
Source data used for meta-analysis
<p>File Name: Supplementary Data1</p> <p>Description: Data from articles published for meta-analysis</p> <p>File Name: Supplementary Data2</p> <p>Description: The sensitivity of rice yield losses to extreme temperatures using linear regression between the yield and intensity of the temperature extreme</p> <p>File Name: Supplementary Data3</p> <p>Description: Results from the meta-analysis investigating the effect of long-term manure amendment on soil fertility</p>
Source data for the paper A laser-assisted chlorination process for reversible writing of doping patterns in graphene
<p>Source Data supporting the plots within the paper "A laser-assisted chlorination process for reversible writing of doping patterns in graphene." </p> <p>Including Source Data for Figures 1-4 in the main text, and Supplementary Figures S1, S3-12, S14, S17. </p>
Source data for the paper A laser-assisted chlorination process for reversible writing of doping patterns in graphene
<p>Source Data supporting the plots within the paper "A laser-assisted chlorination process for reversible writing of doping patterns in graphene." </p> <p>Including Source Data for Figures 1-4 in the main text, and Supplementary Figures S1, S3-12, S14, S17. </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.