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1,582 results for “manuscript”
Fake Manuscript 1
Source: Objaverse 1.0 / Sketchfab
Supplementary Material to outdated Manuscript
<p>This dataset consists of two .xlsx files containing the supplementary material to an outdated manuscript.</p> <p>The file "supplementary_parameter.xlsx" contains the parameters used in the experiments. </p> <p>The file "supplementary_random_networks.xlsx" contains the random networks used in the numerical experiments. </p>
Data and Plotting Tools to Reproduce Figures in Manuscript: A Parametric Study of the SASI Comparing General Relativistic and Non-Relativistic Treatments
<p>This repository contains two gzipped tarballs: plottingTools.tar.gz and plottingData.tar.gz. Within plottingData.tar.gz are the data files necessary to reproduce all of the figures in the manuscript: A Parametric Study of the SASI Comparing General Relativistic and Non-Relativistic Treatments. Within plottingTools.tar.gz are the scripts necessary to reproduce the figures.</p> <p>Contents of plottingTools.tar.gz:</p> <ul> <li>globalVariables.py: this contains some user-defined variables such as where the data is stored and what extension to use for saved figures (pdf, png, etc.)</li> <li>plotFigure*.py: these scripts generate the various figures in the manuscript</li> <li>publication.sty: this sets the formatting for the figures</li> <li>requirements.txt: this contains the python packages necessary to execute the scripts</li> </ul>
Databases generated for Manuscript titled "Quantifying downward radiative fluxes from nighttime Martian water ice clouds: Applications to thermal modeling of surface temperatures"
<p>Databases generated for manuscript "<strong>Quantifying downward radiative fluxes from nighttime Martian water ice clouds: Applications to thermal modeling of surface temperatures</strong>"</p> <p>There are two zip files containing generated databases:</p> <p>The zip file titled "database.zip" contains generated database for calculated fluxes using the methodology mentioned in the manuscript. The database spans calculated fluxes in one degree bins for latitudes spanning 30° to -10° N and longitudes spanning 0° to 360°. There are 14760 separate .csv files that are for each one by one degree bin. The title of each file contains its coordinates in the format XXXNXXXEtb.csv (e.g. 000N000Etb.csv for 0°N, 0°E). Each .csv file contains four separate columns and variable rows. The columns have headers corresponding to specific values. "ls" corresponds to solar longitude or date based on Mars' orbit around the Sun. "Flux" corresponds to calculated flux based on the methodology presented on the manuscript. "Delta-T" is the difference in temperature comparing modeled temperature compared to Thermal Emission Spectrometer (TES) measured temperature. "Tau" corresponds to calculated Dust visible opacities using the methodology presented in this work. The rows in each file vary based on the temporal observations from TES at each location. </p> <p>The zip file titled "fitdatabase.zip" contains generated database for fitted fluxes using the methodology mentioned in the manuscript. The database spans calculated fluxes in one degree bins for latitudes spanning 30° to -10° N and longitudes spanning 0° to 360°. There are 14760 separate .csv files that are for each one by one degree bin. The title of each file contains its coordinates in the format XXXNXXXEtbf.csv (e.g. 000N000Etbf.csv for 0°N, 0°E). Each .csv file contains six separate columns and three hundred and sixty rows. The columns have headers corresponding to specific values. "ls" corresponds to solar longitude or date based on Mars' orbit around the Sun. "Flux" corresponds to calculated flux based on the methodology presented on the manuscript. "Delta-T" is the difference in temperature comparing modeled temperature compared to measured temperature. The fitting algorithm interpolates points between values in the calculated flux database and applies a rolling mean fit with a window spanning ten degrees in solar longitude centered at each calculated flux point. "FLAG" indicates the amount of points of calculated flux points that exist within the ten degree window centered at each flux point to demonstrate to the user how much data had to be fitted. "From Ls" shows the leftmost edge of the rolling mean fit window. "To Ls" shows the rightmost edge of the rolling mean fit window. The rows in each file correspond to one degree of solar longitude the fitting algorithm was designed to cover each solar longitude bin. </p> <p> </p>
Supplementary files for the manuscript "The Timescale and Carbon Flux Recorded by Skarn Garnet from Gangdese Arc, Southern Tibet"
<p>This supplementary datafiles include Excel spreadsheets and MATLAB codes that are supplementary to the main manuscript. </p>
Datasets underlying manuscript "Earthquake observatory with coherent laser interferometry on the telecom fiber network"
<p>Refers to the paper: "Seismic monitoring using the telecom fiber network" by S. Donadello et al.., Communications Earth and Environment, 5,178 (2024). DOI: 10.1038/s43247-024-01338-2</p> <p>Data are structured in folders corresponding to manuscript figures 1 to 4 and Extended Figures S1 to S6.</p> <p>Headers unambiguously indicate the listed quantities.</p> <p>Minimal python scripts are provided to support interpretation and visualization</p>
Supplementary materials for the manuscript "Heracleum sosnowskyi or Heracleum mantegazzianum? DNA-based identification of invasive hogweeds (Apiaceae) in two key regions of the species' invasion history in the former USSR.
<p><span><span><span><span><span>Supplementary material for </span></span></span></span></span><span><span><span><span><span>the </span></span></span></span></span><span><span><span><span><span>manuscript "</span></span></span></span></span><span><span><span><span><span>Heracleum sosnowskyi or Heracleum mantegazzianum? DNA-based identification of invasive hogweeds (Apiaceae) in two key regions of the species' invasion history in the former USSR". <br></span></span></span></span></span></p> <p><span><span><span><span><span>Shadrin_et_al_Online_Resource_Table_01.xlsx - Plant samples origin and identification.</span></span></span></span></span></p> <p><span><span><span><span><span>Shadrin_et_al_Online_Resource_Table_02.xlsx - </span></span></span></span></span><span><span><span><span><span>GenBank accession numbers for DNA markers.</span></span></span></span></span></p> <p><span><span><span><span><span> </span></span></span></span></span></p> <p><span><span><span><span><span> </span></span></span></span></span></p>
Dataset and software for manuscript 2023RS007900
<p>This is a collection of software and data for the analysis included in the Radio Science manuscript 2023RS007900.</p>
Data generated for the manuscript: "Increased 'selfness' in the tumor emerges as a possible immune scuplting mechanism: A pan-cancer data analysis of 32 solid tumors in TCGA"
<p>This submission has processed data generated for the manuscript: "Increased 'selfness' in the tumor emerges as a possible immune scuplting mechanism: A pan-cancer data analysis of 32 solid tumors in TCGA".</p> <p>The `data` folder contains processed information for the Human Protein Atlas (HPA) and The Cancer Genome Atlas (TCGA) datasets. The HPA data is found in `data/hpa` and contains gene ranks used to compute the thymus-likeness score (TLS) and files where the TLS has been calculated for the HPA tissues. The TCGA data can be found in `data/proc`, where individual RDS files have been given for each analyzed cohort. These RDS files contain the results of the cutoff scanning procedure mentioned in the manuscript and account for the bulk of the data generated for this study. RDS files can be loaded using the `readRDS` function in an R session. Other information used to create plots is in the `data` folder.</p> <p>The `plots` folder contain the result of plotting the entireity of the cutoff scanning procedure. The manuscript only contains plots for the 28 cohorts where a significant difference in terms of immune difference is observed, and that too, only the final heuristic plots. The `plots/tcga/immuneres` folder has plots at different levels: (i) single cell category/single deconvolution method with permutation tests (ii) single cell category/multiple deconvolution methods and (iii) significant cell categories/representative deconvolution method. Only (iii) is present in the manuscript. Overall, this folder should contain ~2000 plots.</p> <p>The code used to generate this study is deposited at: https://gitlab.com/narencs179/thymus-like-score</p>
Raw data for the submitted manuscript entitled "Novel strategies for the determination of plastic additives derived from agricultural plastics in soil using ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS)"
Open the record for dataset details and reuse information.
Datasets generated for the manuscript: The basement membrane regulates the cellular localization and the cytoplasmic interactome of Yes-Associated Protein (YAP) in mammary epithelial cells
<p><strong>File proteinGroups-CoIP-Yap1:</strong> Dataset of co-Immunoprecipitation followed of Yes-associated protein (YAP) followed by proteomics to identify YAP interactants.</p> <p><strong>File Gene_set_file_YAP: </strong>Gene sets used for gene set enrichment analysis.</p> <p><strong>Files enrichr_x: </strong>output of the EnrichR tool</p>
Datasets associated with the manuscript Protein Condensate Atlas from predictive models of heteromolecular condensate composition
<p>Datasets associated with the manuscript "Protein Condensate Atlas from predictive models of heteromolecular condensate composition".</p>
Flowchart of the manuscript "Total Mesorectal Excision after Rectal Sparing Approach in Locally Advanced Rectal Cancer Patients after neoadjuvant treatment: a high volume center experience"
<p>I uploade the original figure of the manuscript "Total Mesorectal Excision after Rectal Sparing Approach in<br>Locally Advanced Rectal Cancer Patients after neoadjuvant treatment: a high volume center experience."</p>
Simulation data for the manuscript "Characterizing Optimal Signal Propagation in the Human Brain Network."
<p>See <a href="https://github.com/kuffmode/OI-and-CMs">https://github.com/kuffmode/OI-and-CMs</a></p>
Supplementary Materials for the manuscript "Inter-individual speed variation of bacteria dispersing on fungal highways"
<p>This repository includes all datasets used and created for the manuscript "Inter-individual speed variation of bacteria dispersal on fungal highways". </p> <p>----5 videos were used for producing the dispersal speed distribution of the RFP labelled Pseudomonas putida UWC1 cells:</p> <p>100x_rfp_2days***.gif</p> <p>----5 videos were used for producing the dispersal speed distribution of the GFP labelled Pseudomonas putida KT2440 cells:</p> <p>100x_gfp_2days***.gif</p> <p>----Data used for location tracking of the two videos shown in Figure 1:</p> <p>100x_rfp_2days028.nd2</p> <p>TrackMate capture of 100x_rfp_2days028.tif</p> <p>100x_gfp_2days005.nd2</p> <p>TrackMate capture of 100x_gfp_2days005.tif</p> <p>----5 Speed distribution raw data files for the RFP labelled cells:</p> <p>rfp_2days***_11fps_2_2movement.csv</p> <p>----5 Speed distribution raw data files for the GFP labelled cells:</p> <p>gfp_2days***_11fps_2_movement.csv</p> <p>----R script for calculating speed distribution of cells:</p> <p>speed calculation.R</p> <p>----Mathematica Notebook file for data visulization:</p> <p>HistCompare.nb</p> <p>----10 best fits of probability distribution functions and goodness-of-fit criteria analysis of the speed of RFP labelled cells:</p> <p>rfp-FitTable.csv</p> <p>----10 best fits of probability distribution functions and goodness-of-fit criteria analysis of the speed of GFP labelled cells:</p> <p>gfp-FitTable.csv</p>
Source data for manuscript(De novo protein design with a denoising diffusion network independent of pre-trained structure prediction models)
<p>This respository contains the source data for figure and supplementary figure in manuscript(SCUBA-D).</p>
Source data for manuscript(De novo protein design with a denoising diffusion network independent of pre-trained structure prediction models)
<p>This respository contains the source data for figure and supplementary figure in manuscript(SCUBA-D).</p>
Dataset for manuscript Meier et al. 2024 -- Leveraging the Histidine Kinase-Phosphatase Duality to Sculpt Two-Component Signaling
<p>Dataset for manuscript Meier et al. 2024 -- Leveraging the Histidine Kinase-Phosphatase Duality to Sculpt Two-Component Signaling</p>
Data for the manuscript "Squeezed light from an oscillator measured at the rate of oscillation"
<p>The data and the data analysis scripts supporting the results reported in the manuscript "Squeezed light from an oscillator measured at the rate of oscillation" by Christian Bærentsen, Sergey A. Fedorov, Christoffer Østfeldt, Mikhail V. Balabas, Emil Zeuthen and Eugene S. Polzik.</p> <p>https://arxiv.org/abs/2302.13633</p>
Results of the community survey associated with manuscript "Knowledge gaps in quantifying the climate change response of biological storage of carbon in the ocean" by Henson et al.
<p><span><span>Full anonymised results of the community survey are available as part of the Supporting Information (Data Set S1)</span></span> for manuscript "Knowledge gaps in quantifying the climate change response of biological storage of carbon in the ocean" by Stephanie Henson, Chelsey A. Baker, Paul Halloran, Abigail McQuatters-Gollop, Stuart Painter, Alban Planchat, Alessandro Tagliabue</p> <p><strong> </strong></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.