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2,984 results for “Raw data”
Survey Base Calculation tool. Raw data.
<p>Raw data from survey application of Perceptions towards the adoption of Bio-based fertilisers. </p>
Raw data for DNA-PAINT MINFLUX nanoscopy
<p>Raw data sets for "DNA-PAINT MINFLUX nanoscopy"</p> <p>by Lynn M. Ostersehlt (1), Daniel C. Jans (1,2), Anna Wittek (1,2), Jan Keller-Findeisen (1), Steffen J. Sahl (1),<br> Stefan W. Hell (1,3,4), and Stefan Jakobs (1,2,4,5)</p> <p>1 Max Planck Institute for Multidisciplinary Sciences, Department of NanoBiophotonics, Göttingen, Germany<br> 2 University Medical Center Göttingen, Department of Neurology, Göttingen, Germany<br> 3 Max Planck Institute for Medical Research, Department of Optical Nanoscopy, Heidelberg, Germany<br> 4 Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC),<br> University of Göttingen, Germany<br> 5 Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Translational Neuroinflammation and<br> Automated Microscopy, Göttingen, Germany<br> <br> to appear in Nature Methods<br> <br> Contact: stefan.jakobs@mpinat.mpg.de</p> <p>The raw data is provided for academic and visualization purposes only. Please contact the authors for further inquiries.</p>
AmelHap pilot: raw data
<p>Honey bee <em>Apis mellifera</em> drones are typically haploid, developing from an unfertilized egg, inheriting only their queen’s alleles and none from the many drones she mated with. Being haploid, the ordered combination or ‘phase’ of alleles is known, making drones a valuable haplotype resource. We collated whole genome sequence data for 688 drones, including 45 newly sequenced Scottish drones, which collectively represent 13 countries, 7 subspecies and various hybrids strains. After alignment to the reference assembly Amel_Hav3.1, and haploid variant calling, we identified 18.9M variants. </p> <p>Whole-genome sequencing data underpinning the dataset is available from the European Nucleotide Archive (ENA), <a href="https://www.ebi.ac.uk/ena">https://www.ebi.ac.uk/ena</a>, with the project accession codes: PRJEB16533, PRJNA311274, PRJNA363032, PRJNA516678, PRJNA544324, and PRJEB39369.</p> <p>Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. Joint variant calling was performed across all samples using GATK’s GenomicDBImport and GenotypeGVCFs with --sample-ploidy 1 and a window size of 2.5 Mb. </p> <p>This dataset is unfiltered, and contains all variants regardless of quality or call rate.</p> <p> </p>
Raw and aggregated data for the study introduced in the paper "The way we cite: common metadata used across disciplines for defining bibliographic references"
<p>These data have been gathered in the context of a study aiming to investigate citation practices for referencing different types of entities and, in particular, for understanding the most used metadata in bibliographic references. The data are stored in two documents in XLSX format:</p> <ul> <li>file "links-intext-pointers-and-cited-entity-types.xlsx" - it contains information about whether the in-text reference pointers of the various PDF articles of the corpus have specified hypertextual links from the in-text reference pointers to the denoted bibliographic reference, plus information about the types of all the entities cited by each article in the corpus;</li> <li>file "metadata-bibliographic-references.xlsm" - it contains information about the metadata used to identify the various descriptive elements of all the bibliographic references defined in the article of the corpus.</li> </ul> <p>The methodology used to gather all these data is described in:</p> <blockquote> <p>Santos, E. A. d., Peroni, S., Mucheroni, M. L.: Workflow for retrieving all the data of the analysis introduced in the article "Citing and referencing habits in Medicine and Social Sciences journals in 2019". (2020), <a href="https://doi.org/10.17504/protocols.io.bbifikbn">https://doi.org/10.17504/protocols.io.bbifikbn</a></p> </blockquote>
FAIR raw data and heat maps of ARAP deposition modeling
<p>FAIR Supplementary Information and Raw Data for <a href="https://www.plus.ac.at/biowissenschaften/der-fachbereich/arbeitsgruppen/duschl/members/martin-himly/list-of-publications/">Hofer S. et al., 2021, SARS-CoV-2-Laden Respiratory Aerosol Deposition in the Lung Alveolar-Interstitial Region Is a Potential Risk Factor for Severe Disease: A Modeling Study, Journal of Personalized Medicine 11(5):431</a>, DOI: <a href="https://doi.org/10.3390/jpm11050431">https://doi.org/10.3390/jpm11050431</a></p> <p>1. pdf/A of deposition heat maps (incl probability values) for 5 different ARAP modes</p> <p>2. xls-formatted file of MPPD v3.04-derived deposition raw data sets for 5 different ARAP modes</p> <p>3.-7. rpt-formatted MPPD v3.04 files of deposition raw data sets for 5 different ARAP modes</p> <p>8.-12. csv-formatted files of MPPD v3.04-derived deposition raw data sets for 5 different ARAP modes</p> <p>13. pdf/A of deposition heat maps (incl probability values) for 5 different ERAP modes (upon rehydration of ARAPs)</p> <p>14. txt-formatted README file for Hofer et al 2021</p>
Raw data to "Scaling at quantum phase transitions above the upper critical dimension"
<p>This directory contains the data used to generate the numerical results in the work "Scaling at quantum phase transitions above the upper critical dimension[1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p> <p>[1]: A. Langheld et al., Scaling at quantum phase transitions above the upper critical dimension, <a href="https://scipost.org/10.21468/SciPostPhys.13.4.088">SciPost Phys. <strong>13</strong> 088</a>, 2022.</p>
TRPC3 interaction with cholesterol as explored through MD (raw data)
<p>Transient receptor potential canonical 3 (TRPC3) channel belongs to the superfamily of transient receptor potential (TRP) channels which mediate Ca<sup>2+</sup> influx into the cell. These channels constitute essential elements of cellular signalling. TRPC3 is primarily gated by lipids, and its surface expression has been shown to be dependent on cholesterol, yet a comprehensive exploration of its interaction with this lipid has thus far not emerged. Here, through 80 µs of coarse-grained molecular dynamics simulations, we show that cholesterol interacts with multiple elements of the transmembrane machinery of TRPC3. Through our approach, we identify an annular binding site for cholesterol on the pre-S1 helix, and a non-annular site at the interface between the voltage-sensor like domain and pore domains. Here cholesterol interacts with exposed polar residues, and possibly acts to stabilise the domain interface.</p> <p> </p> <p><br> p { margin-bottom: 0.08in; color: #000000; line-height: 0.24in; text-align: justify; orphans: 2; widows: 2; background: transparent }p.western { font-family: "Palatino Linotype", serif; font-size: 12pt }p.cjk { font-family: "Palatino Linotype", serif; font-size: 12pt; so-language: de-DE }p.ctl { font-family: "Palatino Linotype", serif }a:visited { color: #954f72; text-decoration: underline }a:link { color: #0000ff; text-decoration: underline }</p> <p> </p>
Raw data for the article "Games on Climate Change: Identifying Development Potentials through Advanced Classification and Game Characteristics Mapping"
<p>Raw data used for the article "Gerber, Andreas, Markus Ulrich, Flurin X. Wäger, Marta Roca-Puigròs, João S.V. Gonçalves, and Patrick Wäger. 2021. "Games on Climate Change: Identifying Development Potentials through Advanced Classification and Game Characteristics Mapping" <em>Sustainability</em> 13, no. 4: 1997. <a href="https://doi.org/10.3390/su13041997">https://doi.org/10.3390/su13041997</a>"</p> <p>The documents include the raw data (both as .csv and .xlsx files with the same content), as well as the publication (.pdf file). The data collection process and the data itself are described in the publication. The data is published as "supplementary material" on the publisher's homepage.</p>
Raw data for the book chapter "Review of Haptic and Computerized (Simulation) Games on Climate Change"
<p>Raw data used for the book chapter "Gerber, A., Ulrich, M., Wäger, P. (2021). Review of Haptic and Computerized (Simulation) Games on Climate Change. In: Wardaszko, M., Meijer, S., Lukosch, H., Kanegae, H., Kriz, W.C., Grzybowska-Brzezińska, M. (eds) Simulation Gaming Through Times and Disciplines. ISAGA 2019. Lecture Notes in Computer Science(), vol 11988. Springer, Cham. <a href="https://doi.org/10.1007/978-3-030-72132-9_24">https://doi.org/10.1007/978-3-030-72132-9_24</a>"</p> <p>The documents include the raw data (both as .csv and .xlsx files with the same content), as well as the publication (.pdf file). The data collection process and the data itself are described in the publication. The data is published as "supplementary material" on the publisher's homepage.</p>
Raw data for the journal article "Cracks as efficient tools to mitigate flooding in gas diffusion electrodes used for the electrochemical reduction of carbon dioxide"
<p>This data set corresponds to the article by Kong et al. entitled "Cracks as efficient tools to mitigate flooding in gas diffusion electrodes used for the electrochemical reduction of carbon dioxide", published in Small Methods</p>
Raw sequencing data PhD Mixoplankton spatio-temporal diversity and its environmental drivers in the North Sea
<p>Raw sequencing data PhD Mixoplankton spatio-temporal diversity and its environmental drivers in the North Sea</p>
Raw data for the manuscript "Experimental Higher-Order Interference in a Nonlinear Triple Slit"
<p>This folder contains the raw data and analysis coded need to reproduce all of the major results in the manuscript "Experimental Higher-Order Interference in a Nonlinear Triple Slit". </p> <p>The folder "matlab" contains the data and code used to produce all of the main data figures in the paper. The various script load the data, and plots the final results used in the paper. </p> <p>The folder "mathematica" contains the scripts to implement our 4-th order perturbative quantum solution. There is one script to fit to experimental data to find the effective nonlinearity, and another to generate the dependence of the different terms if kappa as a function of Z. The result is plotted in the matlab script found in the directory "matlab\quantum"</p>
Raw Data - 3D Printing Temperature Tailors Electrical and Electrochemical Properties through Changing Inner Distribution of Graphite/Polymer
<p>This Data set contains the raw data of the article:</p> <p>3D Printing Temperature Tailors Electrical and Electrochemical Properties through Changing Inner Distribution of Graphite/Polymer, Small, 2021, 17, 2101233.</p> <p>C. Iffelsberger, C. W. Jellett, and M. Pumera*,</p> <p>https://doi.org/10.1002/smll.202101233</p> <p>Related to the MSCA Project: 888797 LoCatSpot</p>
Raw Data - Photoelectrolysis of TiO2 is highly localized and the selectivity is affected by the light
<p>The dataset contains raw data that complements the article:</p> <p>Photoelectrolysis of TiO<sub>2</sub> is highly localized and the selectivity is affected by the light, <em>Chemical Engineering Journal</em>, 2022, 136995.</p> <p>C. Iffelsberger, S. Ng, and M. Pumera*</p> <p>https://doi.org/10.1016/j.cej.2022.136995</p> <p>Related to the MSCA Project: 888797 LoCatSpot</p>
Raw Data - High resolution electrochemical additive manufacturing of microstructured active materials: case study of MoSx as a catalyst for the hydrogen evolution reaction
<p>The dataset contains raw data that complements the article:</p> <p>High resolution electrochemical additive manufacturing of microstructured active materials: Case study of MoSx as a catalyst for the hydrogen evolution reaction, J. Mater. Chem. A, 2021, 9, 22072-22081.</p> <p>C. Iffelsberger and M. Pumera*</p> <p>https://doi.org/10.1039/D1TA05581J</p> <p>Related to the MSCA Project: 888797 LoCatSpot</p>
Raw Data - Photo-Responsive Doped 3D-Printed Copper Electrodes for Water Splitting: Refractory One-Pot Doping Dramatically Enhances the Performance
<p>The dataset contains raw data that complements the article:</p> <p>Photo-Responsive Doped 3D-Printed Copper Electrodes for Water Splitting: Refractory One-Pot Doping Dramatically Enhances the Performance</p> <p>Christian Iffelsberger, Daniel Rojas, and Martin Pumera<strong>*</strong></p> <p>https://doi.org/10.1021/acs.jpcc.1c10686</p> <p>Related to the MSCA Project: 888797 LoCatSpot</p>
Raw data for the article "Size-Dependent Structural Alterations in Ag Nanoparticles During CO2 Electrolysis in a Gas-Fed Zero-Gap Electrolyzer"
<p>In the article "Size-Dependent Structural Alterations in Ag Nanoparticles During CO2 Electrolysis in a Gas-Fed Zero-Gap Electrolyzer" we described our investigation on the size-dependent degradation behavior of Ag NPs (10, 40, and 100 nm in size) on GDE during CO<sub>2</sub> electrolysis. Here we present the dataset the work was based on. For each figure in the article and the supporting information we provide a set of raw and unprocessed data.</p>
Raw data for the plot in the article entitled "On the electrophoretic deposition of Bi2Te3 nanoparticles through electrolyte optimization and substrate design"
<p>raw data of transport presented in Fig1a of the open access article with the following details:</p> <p>On the electrophoretic deposition of Bi2Te3nanoparticles through electrolyte optimization and substrate design</p> <p><a href="https://www.sciencedirect.com/journal/colloids-and-surfaces-a-physicochemical-and-engineering-aspects">Colloids and Surfaces A: Physicochemical and Engineering Aspects</a></p> <p><a href="https://www.sciencedirect.com/journal/colloids-and-surfaces-a-physicochemical-and-engineering-aspects/vol/649/suppl/C">Volume 649</a>, 20 September 2022, 129537</p> <p><a href="https://doi.org/10.1016/j.colsurfa.2022.129537">https://doi.org/10.1016/j.colsurfa.2022.129537</a></p>
Raw data for the article entitled "Facile Solution Synthesis, Processing and Characterization of n- and p-Type Binary and Ternary Bi–Sb Tellurides"
<p>Raw data for the plots in the open access article "Facile Solution Synthesis, Processing and Characterization of n- and p-Type Binary and Ternary Bi–Sb Tellurides"</p>
Raw data for the plots in the article entitled "Thermoelectric Inks and Power Factor Tunability in Hybrid Films through All Solution Process"
<p>Raw data for the plots in the article entitled "Thermoelectric Inks and Power Factor Tunability in Hybrid Films through All Solution Process"</p> <p>https://doi.org/10.1021/acsami.1c24392 </p> <p>ACS Appl. Mater. Interfaces 2022, 14, 19295−19303</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.