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15,733 results for “article”
Data for the article "Capacitive coupling of coherent quantum phase slip qubits to a resonator"
<p>Zip file containing data for the article "Capacitive coupling of coherent quantum phase slip qubits to a resonator" published in the New Journal of Physics. The data used in the figures and tables are saved in separate txt files.</p>
Data set for the article: An artificial neural network approach to finding the key length of the Vigenere cipher
<p>Data supporting the work in the article: An artificial neural network approach to finding the key length of the Vigen\`{e}re cipher.</p>
Data for the article "Tidal heating in a subsurface magma ocean on Io revisited"
<p>The data files for the figures in the article "Tidal heating in a subsurface magma ocean on Io revisited". The structure of the files are given in the first row of each file. The file "figure2.dat" only consists of the data for Figure 2a, where Figure 2b andFiguresFigurec are part of Figure 1is.</p>
Additional data and models for the article "Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling."
<p>Additional data and models for the article "Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling."</p> <p>This data package includes:</p> <p>1-ModEM rho and dat format files of the final preferred model.</p> <p>2-vtk version of this model</p> <p>3-Scripts to plot the MT models</p> <p>4-Water content models calculated with MATE</p> <p>5-Scripts to plot the water content models</p> <p>6-Parameter files used in water calculation with MATE</p> <p>7- EDI files used in the model.</p>
Rare Diseases hand-annotated news articles: Angelman, De Lange, Fragile X, Kleefstra
<p>This dataset was produced in 2023 from the data collected throughout 2023 from Event Registry (news) for the development of the Rare Diseases Mining project (https://idefine-europe.org/medline)</p> <p>The data is distributed across 4 specific diseases supporting the research paper "Automatic text classification and interactive data visualization of published scientific and news articles on Rare Diseases"</p> <p>The available data comes in the file formats:<br>CSV - the hand annotation of the news articles in TXT with 5 to 10 MeSH headings</p> <p>This work was prepared by Joao Pita Costa (researcher) and curated by Tanja Zdolšek Draksler (domain expert) </p>
DATASET. LIST OF JOURNAL ARTICLES AND BOOK CHAPTERS THAT DEALT WITH MEDIA REPRESENTATIONS OF FEMICIDE.
<p><span>The dataset contains the list of 213 </span><span>journal articles and book chapters that deal with media empirical evidence on femicide, available in <span>Scopus, Web of Science (WoS), and EBSCOhost.</span> The dataset includes three sheets in one file, the first contains a list of the 213 documents available in the three databases including their bibliographic information, general description, and keywords describing the main results. The second sheet contains the codes for variables, and the third sheet contains the list of a subgroup of articles available in <span>Scopus and Web of Science (WoS)</span>. </span></p>
Data sets for Polyplax serrata article "Highly-resolved genomes of two closely related lineages of the rodent louse Polyplax serrata with different host specificities"
<p><strong>Supplementary data for Polyplax serrata article 2023</strong></p> <p>Data included in this repository were generated and used in various genomic and phylogenetic analysis presented by the publication "<strong>Highly-resolved genomes of two closely related lineages of the louse </strong><em><strong>Polyplax serrata</strong></em><strong> with different host specificities</strong>"</p> <p><strong>Description of the data and file structure</strong></p> <p>Data provided for each analyzed taxa include:</p> <p>- Annotation table.</p> <p>- fasta format files for transcripts (CDS and mRNA).</p> <p>- fasta format file for genome.</p> <p>- protein fasta file.</p> <p>- gbk format file that includes the genome with its corresponding annotations.</p> <p>Additionally,</p> <p>- repeat families in fasta format were included for <em>Polyplax serrata</em> S and N lineages.</p> <p>- rRNA in fasta format were included for <em>Polyplax serrata</em> S and N lineages, <em>Pediculus humanus, Columbicola columbae </em>and <em>Brueelia nebulsa</em>. </p> <p><strong>Sharing/Access information</strong></p> <p>GenBank accession number of analyzed taxa:</p> <p>· <em>Aedes Aegypti</em> (GenBank accession no. GCF_002204515.2).</p> <p>· <em>Brueelia nebulsa</em> ( GenBank accession no. GCA_028293925.1).</p> <p>· <em>Columbicola columbae</em> (GenBank accession no. GCA_016920875.1).</p> <p>· <em>Cimex lectularis</em> (GenBank accession no. GCF_000648675.2).</p> <p>· <em>Glossina morsitans</em> (GenBank accession no. GCA_001077435.1).</p> <p>· <em>Pediculus humanus</em> (GenBank accession no. GCA_000006295.1).</p> <p>· <em>Rhodnius prolixus</em> (GenBank accession no. GCA_000181055.3).</p> <p>· <em>Polyplax serrata S lineage</em> (GenBank accession no. JAWJWF000000000).</p> <p>· <em>Polyplax serrata N lineage</em> (GenBank accession no. JAWJWE000000000).</p> <p> </p> <p>Note: All the latter genomes except for the two genomes of <em>Polyplax serrata</em> S and N lineages, were acquired from GenBank database and were subjected to the same gene prediction and annotation workflow as <em>P. serrata</em> genomes to maintain methodological consistence in downstream analysis of the annotation results.</p> <p><strong>Software</strong></p> <p>- Gene prediction and annotation was performed using Funannotate v1.18.14 (<a href="https://github.com/nextgenusfs/funannotate">https://github.com/nextgenusfs/funannotate)</a>).</p> <p>- Repeat were identified in the genomes of P. serrata S and N lineages using RepeatModeler v2.0.3.</p>
Dataset from the project entitled HimFunDiff. Related to research article: Global warming alters Himalayan alpine shrub growth dynamics and climate sensitivity.
<p>We examined a total of 9 populations of Rhododendron anthopogon, which were located between 3200 m and 4200 m above sea level (asl). These populations were distributed across three geographically distant transects, with each transect consisting of three sites (along an elevation gradient). The transects are referred to as northern, intermediate, and southern, while the sites at each transect are categorized as low, mid, and high (as depicted in Thakur et al 2024). The northern transect exhibited colder temperatures and lower rainfall compared to the other two transects. On the other hand, the two remaining transects had relatively similar temperatures, but the southernmost transect received higher levels of precipitation. The mean annual temperature of these populations ranged from 2 °C to 5 °C from 2021 through 2022, while volumetric soil moisture levels varied from 0.198 to 0.377 based on onsite measurements using TMS4 dataloggers (Wild et al., 2019).</p> <p>We collected a total of 81 wood disc samples, with 9 samples obtained from each of the 9 sites studied (9 populations × 9 discs). The samples were collected by cutting a single piece from the thickest stem segment, approximately 5 cm in length, from 81 different mature and healthy individuals. Within each site, the 9 samples were obtained from three separate plots (three samples per plot), each covering an area of approximately 100 m2. The selection criteria for these plots included: (1) the presence of Rhododendron anthopogon as one of the dominant species; (2) minimal anthropogenic disturbance; and (3) the absence of large shrubs or trees. The sampled individuals within a plot were spaced at least 5 m apart from each other, and the plots themselves were at least 20 m apart. To prevent rapid drying, the cut stem samples were immediately placed in a wet paper towel. Within 48 hours of sampling, the stem samples underwent dehydration by being immersed in 50 % ethanol for the initial 3 days, followed by 70 % ethanol for the subsequent 7 to 10 days. After the ethanol dehydration process, the samples were air-dried for 72 hours and then stored in paper bags until further processing.</p> <p>Plant age and growth data for each of the sampled individuals were obtained following established protocols (Doležal et al., 2018). In the laboratory, we utilized a sledge microtome to cut cross-sections from each stem sample. These cross-sections were then stained with Astra Blue and Safranin and permanently affixed to microscope slides using Canada Balsam (Doležal et al., 2022). High-resolution images of the fixed sections were captured using an Olympus BX53 microscope equipped with an Olympus DP73 camera. The software CellSense Entry 1.9 was employed to analyse the best image obtained from each individual. We measured annual radial growth increments from pith to bark to the nearest micrometre. </p> <p>More details are given in the article entitled </p> <h1>Global warming alters Himalayan alpine shrub growth dynamics and climate sensitivity. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.170252" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.170252</a></h1>
Data underlying the article 'How nutrient retention and TN:TP ratios depend on ecosystem state in thousands of Chinese lakes'.
<div> <p>Here we share the data underlaying the publication 'How nutrient retention and TN:TP ratios depend on ecosystem<br>state in thousands of Chinese lakes' <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.170690" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.170690</a>.</p> </div> <div>In this study, we used data for analysis, models and R-scripts.</div> <div>The dataset contains data for the historic (2012) situation, and data for an economic-focused scenario and a sustainability-focused scenario for 2050.</div> <div> </div> <div>Raw input data originates from</div> <div>1) Climate scenario variables: HydroLAKES (Messager et al., 2016)</div> <div>2) Historic climate variables: https://doi.org/10.4121/13348004</div> <div>3) Nutrient losses to land for the SSP scenarios: Wang et al. 2020</div> <div> </div> <div>Model input and output data can be found in this database</div> <div>1) Simulated climate variables: folder 1</div> <div>2) Scenario specific parameter values: folder 1</div> <div>3) PCLake+ model output: folder 3</div> <div> </div> <div>R-scripts, as well as the used model (PCLake+), can be found in this database</div> <div>1) R-script to run PCLake+: folder 2 and 6</div> <div>2) R-script to process PCLake+ output data: folder 4</div> <div>3) PCLake+ software: folder 5: GNU LESSER GENERAL PUBLIC LICENSE, Version 3, 29 June 2007</div> <div> </div> <div>Data used for analysis can be found in this database</div> <div>1) ProcessedData.cvs: folder 4</div>
Research data supporting article on implementation and validation of OpenMC cell-based R2S shutdown dose rate capabilities
<p>This file contains an archive of all research data that supports the article on implementation and validation of a cell-based R2S shutdown dose rate workflow in OpenMC.</p>
Supplement to the article "Simulation of marine stratocumulus using the super-droplet method: Numerical convergence and comparison to a double-moment bulk scheme"
<p>This is a supplement to the article "Simulation of marine stratocumulus using the super-droplet method: Numerical convergence and comparison to a double-moment bulk scheme".</p> <p>The time evolution of horizontal distribution of LWP:</p> <ul> <li>SDM_lwp_2d_sdm.mp4: from nine SDM runs with different grid resolutions.</li> <li>SN14_lwp_2d_sn14.mp4: from nine SN14 runs with different grid resolutions.</li> </ul> <p>The time evolution of vertical profiles:</p> <ul> <li>sdm_profile_t.mp4: from nine SDM runs with different grid resolutions.</li> <li>sn14_profile_t.mp4: from nine SN14 runs with different grid resolutions.</li> <li>sdm_incloud_t.mp4: vertical profiles in cloudy areas and cloud holes in SDM runs.</li> <li>sn14_incloud_t.mp4: vertical profiles in cloudy areas and cloud holes in SN14 runs.</li> <li>sdm_50x5_incloud_t.mp4: comparison between original SDM and SDM without sedimentation.</li> </ul>
Data and code for the article "Advancing Fine Branch Biomass Estimation with LiDAR and Structural Models"
<p>This is the repository for the data and code to reproduce the article "Advancing Fine Branch Biomass Estimation with LiDAR and Structural Models".</p> <p>Summary:</p> <p><span><span>·</span></span><span><span><span> </span><em>Background and Aims</em></span></span></p> <p><span><span>Lidar is a promising tool for fast and accurate measurements of trees. There are several approaches to estimate aboveground woody biomass using lidar point clouds. One of the most widely used methods involves fitting geometric primitives (<em>e.g.</em> cylinders) to the point cloud, thereby reconstructing both the geometry and topology of the tree. However, current algorithms are not suited for accurate estimation of the volume of finer branches, because of the unreliable point dispersions from <em>e.g. </em>beam footprint compared to the structure diameter.</span></span></p> <p><span><span>·</span></span><span><span><span> </span><em>Methods</em></span></span></p> <p><span><span>We propose a new method that couples point cloud-based skeletonization and multi-linear statistical modelling based on structural data to make a model (structural model) that accurately estimates the aboveground woody biomass of trees from high-quality lidar point clouds, including finer branches. The structural model was tested at segment, axis, and branch level, and compared to a cylinder fitting algorithm and to the pipe model theory.</span></span></p> <p><span><span>·</span></span><span><span><span> </span><em>Key Results</em></span></span></p> <p><span><span>The model accurately predicted the biomass with 1.6% nRMSE at the segment scale from a k-fold cross-validation. It also gave satisfactory results when up-scaled to the branch level with a significantly lower error (13% nRMSE) and bias (-5%) compared to conventional cylinder fitting to the point cloud (nRMSE: 92%, bias: 82%), or using the pipe model theory (nRMSE: 31%, bias: -27%).</span></span></p> <p><span><span>The model was then applied to the whole-tree scale and showed that the sampled trees had more than 1.7km of structures on average and that 96% of that length was coming from the twigs (<em>i.e.</em> <5 cm diameter). Our results showed that neglecting twigs can lead to a significant underestimation of tree aboveground woody biomass (-21%).</span></span></p> <p><span><span>·</span></span><span><span><span> </span><em>Conclusions</em></span></span></p> <p><span><span>The structural model approach is an effective method that allows a more accurate estimation of the volumes of smaller branches from lidar point clouds. This method is versatile but requires manual measurements on branches for calibration. Nevertheless, once the model is calibrated, it can provide unbiased and large-scale estimations of tree structure volumes, making it an excellent choice for accurate 3D reconstruction of trees and estimating standing biomass.</span></span></p>
Data for the research article "High-Temperature Deformation of Enstatite-Olivine Aggregates" published in JGR Solid Earth
<p>The data available in this repository is the original data presented in the research article: Bystricky, M., Lawlis, J., Mackwell, S., & Heidelbach, F. (2024). High-temperature deformation of enstatite-olivine aggregates, Journal of Geophysical Research: Solid Earth, 129, e2023JB027699. https://doi.org/10.1029/2023JB027699.</p> <p>Version v1: data at time of original submission (2023)</p> <p>Version v2: data at time of publication (2024)</p>
REFS for Chem Mater_Review Article
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Supplementary materials of the article "First report of plastic biomedia contamination in Brazilian beaches – evidence from the Paraná coast"
<p>Supplementary materials of the article "First report of plastic biomedia contamination in Brazilian beaches – evidence from the Paraná coast", published in Ocean and Coastal Research.</p>
Dataset for the research article titled "Evaluation of Reanalysis and Satellite Products against Ground-based Observations in a Desert Environment "
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Data referring to the Article "Harmonized Skies: A Survey on Drone Acceptance across Europe" published in Drones Journal
<p><span>The material provided is part of the article "Harmonized Skies: A Survey on Drone Acceptance across Europe," published in the Drones Journal (https://doi.org/10.3390/drones8030107). This article describes a study investigating civil drone acceptance in six different EU countries. This study was part of the USpace4UAM project (Grant Agreement No 101017643). The material includes the data set for the study described and the Python codes for the random forest analysis carried out to investigate the influence of demographic and personnel factors on drone acceptance.</span></p>
Replication package for article 'Parallel Program Analysis on Path Ranges'
<p>This Replication package contains all the results for the article "Parallel Program Analysis on Path Ranges"</p> <p>Abstract. Symbolic execution is a software verification technique symbolically running programs and thereby checking for bugs. <br> Ranged symbolic execution <br> performs symbolic execution on program parts, so called {\em path ranges}, in parallel.<br> Due to the parallelism, verification is accelerated and hence scales to larger programs.</p> <p>In this paper, we discuss a generalization of ranged symbolic execution to arbitrary program analyses.<br> More specifically, we present a verification approach that splits programs into path ranges and<br> then runs arbitrary analyses on the ranges in parallel. Our approach in particular allows to run {\em different}<br> analyses on different program parts.<br> We have implemented this generalization on top of the tool \textsc{CPAchecker} and evaluated it on programs from the SV-COMP benchmark. Our evaluation shows that verification can benefit from the parallelisation of the verification task,<br> but also needs a form of work stealing (between analysis) as to become efficient.</p>
Set of instances used in article "Medical staff planning for field hospital deployments: the START hospital"
<p>The dataset presented is used in the article "Medical staff planning for field hospital deployments: the START hospital" by F. Javier Martín-Campo, M. Teresa Ortuño and Berta Ruiz-González, submitted for publication (2024).</p> <p>This paper proposes a mathematical optimisation model to deal with the management of emergency staff to a field hospital from a roster of volunteers with different characteristics.</p> <p>A set of Excel files is available being:</p> <ul> <li>Readme: It contains the general information of the files.</li> <li>Data: It contains the data (general parameters, demand, prices, charter flights, health profiles, availability and grades).</li> <li>8 files with the solution for: Infeasibility test, Cost, Availability, Grades, Monoobjective, Goal Programming 1, Goal Programming 2 and Compromise Programming.</li> </ul>
Datasets for the article "Evaporative controls on Antarctic precipitation: an ECHAM6 model study using innovative water tracer diagnostics"
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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.