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253 results for “data publishing”
Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))
<p>Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))</p>
Indonesia Regional Dataset - Data supplementary material for published papers of the QuaRCS lab
<p>Indonesia Regional Dataset - Data supplementary material for published papers of the QuaRCS lab</p>
Data set published in the IEEE TCAD article "Custom Multi-Cache Architectures for Heap-Manipulating Programs"
<p>This data set contains the results presented in the paper "Custom Multi-Cache Architectures for Heap-Manipulating Programs", published in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) in 2016.</p> <p>The data set consists of two parts, a Microsoft Excel file ('FPGA_implementation_results.xlsx') and a Matlab script ('plot_cache_performance.m', in combination with measurement results in an ascii file).</p> <p>The Excel file contains<br /> - the FPGA resource utilisation,<br /> - execution time measurements,<br /> - hit rate measurement of the multi-cache system,<br /> - and power measurements</p> <p>of different FPGA designs with different on-chip cache configurations. The resource utilisation is split into FPGA slices, LUTs, FlipFlops, DSP slices and block RAMs. Results in this file can be found in Table I-IV in the paper. Please refer to the paper for more information or email f.winterstein12@imperial.ac.uk.</p> <p>The Matlab script loads a data file ('cache_performance_N16384_L1') containing the hit rate measurements for different cache sizes of two direct-mapped cache with 64bit line width. The script produces a 3D 'skyscraper' plot, i.e. a grid of coloured bars. Each bar corresponds to the hit rate measured at the particular cache size configuration. The plot is saved in the file 'surf.pdf'. The script was used to produce Figure 4 of the paper. Please refer to the paper for more information or email f.winterstein12@imperial.ac.uk.</p> <p>In addition to this description, we include an author copy of the paper. Note that this is not the official version of the paper. Please cite the original IEEE TCAD article if you use the data.</p>
Supplementary material 9: Integrated legacy literature and prospective publishing dashboard: species-rank treatments from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts summarizing content from 42 articles published either as open access articles published in Zootaxa or in Biodiversity Data Journal, containing treatments on spiders. This page shows data from species-rank treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.
Supplementary material 8: Integrated legacy literature and prospective publishing dashboard: all treatments from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts summarizing content from 42 articles published either as open access articles published in Zootaxa or in Biodiversity Data Journal, containing treatments on spiders. This page shows data from all treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.
Supplementary material 7: Prospective publishing dashboard: species-rank treatments from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts summarizing content from 5 articles published in Biodiversity Data Journal containing treatments on spiders. This page shows data from species-rank treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 dashboard charts.
Supplementary material 6: Prospective publishing dashboard: all treatments from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts summarizing content from 5 articles published in Biodiversity Data Journal containing treatments on spiders. This page shows data from all treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 dashboard charts.
Data of "H2S dosimeter with controllable percolation threshold based on semi-conducting copper oxide thin films" published in JSSS 2017
<p>Raw data to the Paper "H2S dosimeter with controllable percolation threshold<br> based on semi-conducting copper oxide thin films" published in "Journal of Sensors and Sensor Systems".</p> <p>Acknowledgement and Funding in the txt.file</p>
Code and data for publication "Assessing carbon cycle projections from complex and simple models under SSP scenarios" published in "Climatic Change"
<p>Data and scripts for the article "Assessing carbon cycle projections from complex and simple models under SSP scenarios" by I. Melnikova, P. Ciais, O. Boucher and K. Tanaka was accepted for publication in Climatic Change (https://doi.org/10.1007/s10584-023-03639-5)</p><p> </p><p>We use bash, CDO, and python.</p><p>SSP2.xlsx contains preprocessed annual estimates of climate and carbon cycle variables from ESMs and SCMs used in the paper.</p><p>Two bash scripts contain preprocessing cdo commands for ESM output.s SCMs were preprocessed directly in python.</p><p>Jupyter notebook (python) contains preprocessing of data and plotting of all figures of the manuscript. The folder "additional" contains some more Excel files needed to run Jupyter-Notebook. Please adapt the folder names.</p><p>If you have any questions, please contact the corresponding author Irina MELNIKOVA at melnikova . irina@nies.go.jp</p><p> </p>
Fig. 2. A-B in Orbitolinids And Other Larger Benthic Foraminifera From The Aptian-Albian Of Tibet: Critical Discussion Of Some Recently Published Data
Fig. 2. A-B, Praeorbitolina cormyi Schroeder fide BouDagher-Fadel et al. (2017, fig. 9.6 and 9.5), Lower Cretaceous of Tibet. C-D, Paleodictoyconus actinostoma Arnaud-Vanneau & Schroeder, early Aptian of Central Iran. E, Praeorbitolina cf. wienandsi Schroeder fide BouDagher-Fadel et al. (2107, fig. 12.1). F-G, juvenile specimens of Paleodictyoconus sp., (?P. actinostoma Arnaud-Vanneau & Schroeder), early Aptian of Central Iran. H, Pseudochoffatella cuvillieri Deloffre fide Bou-Dagher-Fadel et al. (2017, fig. 12.7). I-K, unknown lituolid, early Aptian Taft Formation of Central Iran. Figures without scale.
Fig. 1. A in Orbitolinids And Other Larger Benthic Foraminifera From The Aptian-Albian Of Tibet: Critical Discussion Of Some Recently Published Data
Fig. 1. A, Mesorbitolina parva (Douglass) fide BouDagher-Fadel et al. (2017, excerpt of fig. 8), Lower Cretaceous of Tibet. B-E, Praeorbitolina cormyi Schroeder, axial sections perpendicular to the median plane (B-C: excerpt of Bosselini et al., 1999, fig. 5a and 5g, early Aptian of Ethiopia; D-E: early Aptian of Iran). Figures without scale.
nanoCT data for the samples published in the article doi 10.1002/jemt.24746
<p>nanoCT data for the samples published in the article "Dealing with Missing Angular Sections in NanoCT Reconstructions of Low Contrast Polymeric Samples Employing a Mechanical In Situ Loading Stage" - Rafaela Debastiani, Chantal Miriam Kurpiers, Enrico Domenico Lemma, Ben Breitung, Martin Bastmeyer, Ruth Schwaiger, Peter Gumbsch</p> <p><a href="https://doi.org/10.1002/jemt.24746">https://doi.org/10.1002/jemt.24746</a></p> <p>Samples:<br>Sample A_180°_phase<br>Sample A_140°_pos0°_phase<br>Sample A_140°_pos0°_absorption<br>Sample A_140°_pos45°_phase<br>Sample A_140°_pos45°_absorption<br>Sample A_140°_pos90°_phase<br>Sample A_140°_pos90°_absorption</p> <p>Sample B_140°_pos0°_phase<br>Sample B_140°_pos90°_absorption<br>Sample B_140°_pos90°_phase<br>Sample B_coated_140°_absorption<br>Sample B_coated_140°_phase</p> <p> </p> <p>Phase = Zernike phase contrast</p> <p>Absorption = absorption contrast</p>
Data published in manuscript "Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO2 and CH4" by Castro-Morales et al.
<p>This data is published in the manuscript<strong>:</strong></p> <p>Castro-Morales, K., Canning, A., Körtzinger, A., Göckede, M., Küsel, K., et al. (2022). Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO<sub>2</sub> and CH<sub>4</sub>. <em>Journal of Geophysical Research: Biogeosciences</em>, 127, e2021JG006485. <a href="https://doi.org/10.1029/2021JG006485">https://doi.org/10.1029/2021JG006485</a>.</p> <p>The data contains the water properties and gases data measured at a site in Ambolikha River, meteorological data measured at an eddy covariance tower located in the neighbor floodplain, and data from the analysis of dissolved organic matter in river water samples. The data was collected between 26 June, 2019 and 02 August, 2019.<strong> </strong></p> <p>This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_Ambolikha_River.txt" should be read before accessing the data. The authors recommend downloading Version 2.0 because it is the most up to date data.</p> <p>For questions contact the main and corresponding author Dr. Karel Castro-Morales at: karel.castro.morales@uni-jena.de</p>
Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p>Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data in Northern America and Europe for the period 1988 – 2016.</p> <p>We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of all studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</p> <p>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</p>
Code for data and figures published in "Solar energy as an early just transition opportunity for coal-bearing states in India"
<p>The following code and data were used to generate the figures in the article "Solar energy as an early just transition opportunity for coal-bearing states in India". The article was published in Environmental Research Letters (<a href="https://iopscience.iop.org/article/10.1088/1748-9326/ac5194">https://iopscience.iop.org/article/10.1088/1748-9326/ac5194</a>)</p> <p>The code is written in R. Before running the Rmd file, create a folder called "Data" and store all the files there, except the Rmd file.</p>
Data to "Evidence for the evolution of eusociality in stem ants and a systematic revision of †Gerontoformica (Hymenoptera: Formicidae)" published in Zoological Journal of the Linnean Society
<p>These are the µCT Datasets used in the study "Evidence for the evolution of eusociality in stem ants and a systematic revision of †<em>Gerontoformica</em> (Hymenoptera: Formicidae)" published in the Zoological Journal of the linnean society.<br> In the study, an amber piece containing 4 specimens of the stem ant genus †<em>Gerontoformica </em>was investigated, one of them being a pupa belonging to †<em>G. gracilis</em> (CASENT0741231), one adult belonging to †<em>G. gracilis</em> (CASENT0741232) and two adults of the newly described species †<em>G. sternorhabda</em> (CASENT0741233 and CASENT0741234). The adult specimen of †<em>G. gracilis</em> (CASENT0741232) had exception internal preservation, so higher magnification scans for anatomical details were performed. The dataset includes full body scans of all of these individuals, adjusted datasets in which the adult specimens were segmented out of the amber matrix (used for the volume renderings in the article) and the two head focused scans of †<em>G. gracilis</em> (CASENT0741232). The scanning parameters can be taken from the uploaded Scans Metadata Excel file, which is also part of the supplementary material of the related article. The two adult scans of †<em>G. sternorhabda</em> (CASENT0741233 and CASENT0741234) are in DICOM file format, all other data are in TIFF image format.</p>
Data for analysis procedure for rectenna-based THz-spectroscopy as published in Lechelon et al., Sci. Adv. 8, eabl5855 (2022)
<p>Example of data for R-PE data processing </p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in MDPI Electronics 2021
<p>The datasets contain data for the normalization of tactile voltages, the training dataset for the diameter classifier, and data recorded during the experiment related to the publication:</p> <p>A. Cirillo, G. Laudante, and S. Pirozzi, “Tactile sensor data interpretation for estimation of wire features,” Electronics, vol. 10, no. 12, art. 1458, June 2021. (DOI: 10.3390/electronics10121458)</p>
REMODEL. WP6. Sensory Systems and Mechatronic Tools. T6-2. Development and optimization of sensory system components. Data related to a paper published in MDPI Machines 2021
<p>The datasets contain the data related to the experiment presented in the publication:</p> <p>A. Cirillo, G. Laudante, and S. Pirozzi, “Proximity sensor for thin wire recognition and manipulation,” Machines, vol. 9, no. 9, art. 188, Sept. 2021. (DOI: 10.3390/machines9090188)</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in IEEE Access 2021
<p>The datasets contain images for the training and testing of algorithms presented in the publication:</p> <p>Cirillo, P., Laudante, G., Pirozzi, S. “Vision-Based Robotic Solution for Wire Insertion with an Assigned Label Orientation” (2021) IEEE Access, 9, art. no. 9490630, pp. 102278-102289. DOI: 10.1109/ACCESS.2021.3098472</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.