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761 results for “data journal”
Data for Matsala et al. (2021) paper in Applied Vegetation Science journal
<p>Data to run models described in Matsala et al. (2021) paper in Applied Vegetation Science journal.</p>
Data set for the journal article "Surface Intermediates in In-Based ZrO2-Supported Catalysts for Hydrogenation of CO2 to Methanol"
<p>Raw data for the article " Surface Intermediates in In-Based ZrO<sub>2</sub>-Supported Catalysts for Hydrogenation of CO<sub>2</sub> to Methanol", already published in the Journal of Physical Chemistry C, DOI: <a href="https://doi.org/10.1021/acs.jpcc.1c08814">https://doi.org/10.1021/acs.jpcc.1c08814</a></p> <p>Folder names describe the type of data content. All details concerning conditions and equipment for measurements can be found in the main text and supporting information of the article.</p>
Supporting data for the submission to the WRR journal
<p>It is supporting data for the submission entitled "Uncertainty Quantification of Transient-based Leakage Identification: A Frequency Domain Approach" to the WRR journal.</p> <p>1. All figures in fig format.</p> <p>2. Experimental data of the Perugia Test [1], and the Shahid Chamran Test [2].</p> <p>[1] Keramat, A., Louati, M., Wang, X., Meniconi, S., Brunone, B., Ghidaoui, M.S. (2019). Objective Functions for Transient-Based Pipeline Leakage Detection in a Noisy Environment: Least Square and Matched-Filter. Journal of Water Resources Planning and Management, ASCE, 145(10), 04019042.</p> <p>[2] Rezapour, Shafai Bejestan, M., & Aminnejad, B. (2021). Case study of leak detection based on Gaussian function in experimental viscoelastic water pipeline. Water Science & Technology. Water Supply. https://doi.org/10.2166/ws.2021.145</p>
Data for the journal article: 'Ecology of testate amoebae along an environmental gradient from bogs to calcareous fens in East-Central Europe: development of transfer functions for palaeoenvironmental reconstructions'
<p><strong>DATA DESCRIPTION</strong>: This repository provides training sets and R scripts for the development of three transfer function models that allow reconstructions of Holocene hydrochemical or hydrological (hydroclimatic) conditions from testate amoeba assemblages preserved in mires of East-Central Europe. Specifically, the repository contains (<em>i</em>) <strong>the full dataset and an R script for the development of the final MLRC model</strong> for inferring past water-mineral richness (expressed as pH) in various types of mires; (<em>ii</em>) <strong>the minerotrophic subset and an R script for the development of the final WAPLS com1 model</strong> for the reconstructions of past water-mineral richness (expressed as pH) in calcareous and rich fens; and (<em>iii</em>) <strong>the ombrotrophic subset and an R script for the development of the final PLS com2 model</strong> for inferring past depth to water table (DWT) in bogs and poor fens. Additionally, the repository includes <strong>the original versions of the full, minerotrophic and ombrotrophic training sets</strong> (i.e., the versions before removing outlier samples and rare taxa due to transfer function optimisation), and <strong>the compiled dataset</strong>, from which the three above-mentioned training sets were generated. For details, see <a href="https://doi.org/10.1016/j.palaeo.2022.111145">Šímová et al. (2022)</a>.</p> <p><strong>ARTICLE ABSTRACT</strong>: Testate amoebae play an important role in biomonitoring and the understanding of peatland (palaeo)ecology. However, their application has been mainly limited to <em>Sphagnum</em>-dominated peatlands, especially ombrotrophic bogs. To facilitate wider use of these microorganisms, we explored their ecology along a gradient from mineral-poor acidic bogs to mineral-rich calcareous fens with tufa formation using a new calibration dataset of over 250 samples from East-Central Europe. Specifically, we examined environmental controls on testate amoebae along the complete gradient and separately in the minerotrophic (pH >5.5) and ombrotrophic (pH <5) parts. Based on these findings, we developed and statistically evaluated transfer function models for the dominant factors controlling the community composition of these protists. Multivariate statistical analysis showed that groundwater pH was the main driver of species composition in the full and minerotrophic datasets. In contrast, testate amoeba communities in the ombrotrophic dataset were primarily structured by depth to water table (DWT). Under leave-one-out cross-validation (LOO), the best-performing model for DWT gave a prediction error (RMSEP) of 5.43 cm. The most robust models for groundwater mineral richness yielded RMSEP<sub>LOO</sub> of 0.45 and 0.27 pH units, for the full and the minerotrophic dataset respectively. This is the first study to present a complete set of testate amoeba-based transfer functions that allow reconstructions of Holocene hydrochemical and hydrological (hydroclimatic) variability in different mire types within one region. The new models open up the possibility for testate amoebae to become a valuable tool in palaeoecological research, although further work is needed to fully assess their performance and usefulness in practice.</p>
Data files associated with the article entitled: "High-throughput behavioral phenotyping of tiny arthropods: chemosensory traits in a mesostigmatic hematophagous mite" (accepted in Journal of Experimental Zoology - part A))
<p>Here are provided three groups of datasets, corresponding respectively to the data obtained from MiteMap bioassays (1) with the monomolecular reference substances (geraniol and NH<sub>3</sub>), (2) with the patented blend MIX1.0, (3) with the odors emitted by the mites' bodies. These datasets were analyzed using the script provided in RMarkdown format in the Zenodo repository DOI 10.5281/zenodo.6109388. A folder is also provided with the heatmaps associated with these data grouped in subfolders by farm x modality.</p>
Data and software in support of article submitted to Journal Geophy. Res. Atmos., titled "Self lofting increases altitude of black carbon in a climate model""
<p>The collection provides data and software to support a journal article submission to the Journal of Geophysical Research Atmospheres. The contents will allow potential future investigators to explore the simulation data and reproduce the analyses in the submitted article.</p> <p>This dataset includes 7 tarred files that when expanded will contain a set of netcdf data files and a collection of python programs to read and analyze the data. The data provided in the netcdfs are model outputs from the UK Earth System Model (UKESM1) from a pair of simulations that explored the impact of black carbon aerosol on atmospheric motion.</p> <p> </p>
Dataset supporting the submission to the journal "Ocean Dynamic" and titled "Hybrid covariance super-resolution data assimilation"
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Research data for journal article: Balancing Environmental and Economic Impacts in the rapidly evolving European EV Battery Value Chain
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Data supplementing article "Role of baroclinic processes on flushing characteristics in a highly stratified estuarine system, Mobile Bay, Alabama" submitted to Journal of Geophysical Research: Oceans
<p>The dataset uploaded includes the model inputs and outputs, as well as the time-series of dye mass for each of the 16 numerical experiments that are tested in this study. </p>
Data supplementing article "Estuarine circulation in a shallow but stratified estuary: Different responses to river discharge between deep ship channel and shoals" submitted to Journal of Geophysical Research: Oceans
<p>The dataset uploaded includes the measured salinity and velocity at two monitoring stations (one at the lower Mobile Bay and the other at the eastern edge of ship channel in middle Mobile Bay) and from multiple ship cruises crossing the lower, middle, and upper Mobile Bay. </p> <p>Detail information on the measurement frequency, date, and location can be found in the mat files. Records with bad quality are filled with NaN values. </p> <p> </p> <p> </p>
Data associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry
<p>Observations and Model setup associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry</p>
Data file for paper: Rubio Garcia, Javier; Kucernak, Anthony; Zhao, Dong; Li, Danlei; Fahy, Kieran; Yufit, Vladimir; Brandon, Nigel; Gomez-Gonzalez, Miguel, "Hydrogen/manganese hybrid redox flow battery", Journal of Physics: Energy, 2018
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Rubio Garcia, Javier; Kucernak, Anthony; Zhao, Dong; Li, Danlei; Fahy, Kieran; Yufit, Vladimir; Brandon, Nigel; Gomez-Gonzalez, Miguel, "Hydrogen/manganese hybrid redox flow battery", Journal of Physics: Energy, 2018</p> <p>DOI: 10.1088/2515-7655/aaee17 </p> <p>Please cite the above reference if you wish to use this data</p>
Data used for the paper Daniel Malko, Yanjun Guo, Pip Jones, George Britovsek, and Anthony Kucernak, "Heterogeneous iron containing carbon catalyst (Fe-N/C) for epoxidation with molecular oxygen|", Journal of Catalysis, 2019, DOI:10.1016/j.jcat.2019.01.008
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Daniel Malko, Yanjun Guo, Pip Jones, George Britovsek, and Anthony Kucernak</p> <p>Heterogeneous iron containing carbon catalyst (Fe-N/C) for epoxidation with molecular oxygen</p> <p>Journal of Catalysis</p> <p>DOI:10.1016/j.jcat.2019.01.008</p> <p>Please cite the above reference if you wish to use this data<br> DOI of this data file is: 10.5281/zenodo.2539183</p>
Supporting data: Guzzo et al., (2019) Effects of repeated daily acute heat challenge on the growth and metabolism of a cold water stenothermal fish, Journal of Experimental Biology
<p>Supporting data for Guzzo et al. (2019) Effects of repeated daily acute heat challenge on the growth and metabolism of a cold water stenothermal fish. Journal of Experimental Biology, jeb.198143 doi: 10.1242/jeb.198143</p>
Data for: Palma, N. and Reis, J. (2019). From convergence to divergence: Portuguese economic growth, 1527-1850. Journal of Economic History 79 (2): 477-506
<p>Data for: Palma, N. and Reis, J. (2019). From convergence to divergence: Portuguese economic growth, 1527-1850. Journal of Economic History 79 (2): 477-506 </p>
Code and Data for "Global Surface Eddy Mixing Ellipses: Spatio-temporal Variability and Machine Learning Prediction" By Jing et al. Submitted to Journal of Geophysical Research: Oceans.
<p>This repository contains the code and data for the study of "Global Surface Eddy Mixing Ellipses: Spatio-temporal Variability and Machine Learning Prediction" By Jing et al. Submitted to Journal of Geophysical Research: Oceans.</p> <p>Specifically, this repository contains the following items: </p> <p>(1) The codes needed for assessing the representation and prediction skills of Random Forest (RF) and Convolutional Neural Network (CNN) models. </p> <p>(2) Original and normalized data to run these codes.</p> <p>(3) Code here is built on early work from our laboratory (Guan et al., 2022; Zhang et al., 2023), though great modifications have been made tailored to our scientific question.</p> <div>[1] Guan, W., Chen, R., Zhang, H., Yang, Y., & Wei, H. (2022). Seasonal surface eddy mixing in the Kuroshio Extension: Estimation and machine learning prediction. Journal of Geophysical Research: Oceans, 127 (3), e2021JC017967.</div> <div>[2] Zhang, G., Chen, R., Li, X., Li, L., Wei, H., & Guan, W. (2023). Temporal variability of global surface eddy diffusivities: Estimates and machine learning prediction. Journal of Physical Oceanography, 53 (7), 1711–1730.</div>
Data Mentah Harga Eceran Minyak Goreng Kelapa Sawit_Journal IJMS_Artikel Ilmiah 2024
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Data for journal article "Dancing Sprites Above a Lightning Mapping Array - an analysis of the storm and flash/sprite developments"
<p>Data used for the analysis presented in the paper: "Dancing Sprites Above a Lightning Mapping Array - an analysis of the storm and flash/sprite developments" published in JGR Atmospheres.</p>
Radiation and Spontaneous Annealing of Radiation-sensitive Field-effect Transistors with Gate Oxide Thicknesses of 400 and 1000 nm (raw data from journal article)
<p>This upload contains raw data from the manuscript "Radiation and Spontaneous Annealing of Radiation-sensitive Field-effect Transistors with Gate Oxide Thicknesses of 400 and 1000 nm". The manuscript was published in Sensors and Materials, Vol. 33, No. 6 (2021) 2109–2116; DOI: https://doi.org/10.18494/SAM.2021.3425</p> <p>The upload consists of .pdf file of the manuscript and .opj files with raw data related to the figures in the manuscript. </p> <p>This work was supported in part by the European Union’s Horizon 2020 research and innovation programme (Grant No. 857558) and the Ministry of Education, Science and Technology Development of the Republic of Serbia (Project No. 43011).</p>
Code & Data for "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals"
<p>This entry contains code and data that was used in the publication: "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals" submitted in Publications journal.</p> <p>*It was version 2 when we added Fig_3_Tab2_Defining_science_disciplines_plus_plot.R script to version 1.</p> <p>*It was version 3 because we added script that calculates median and mean values of the stringency levels to version 2 data.</p> <p>*Latest version is version 4: we added supplementary data.</p> <p>#IDEA:</p> <p>This project was about analyzing policies of two thousand journals within the framework of eight TOP standards: <br> data citation, transparency of data, material, code and design and analysis, replication, plan and study pre-registration, <br> and two effective interventions: “Registered reports” and “Open science badges”. </p> <p># MATERIALS & METHODS<br> We downloaded the TOP Factor (v33, 2022-08-29 3:12 PM) metric from the https://osf.io/kgnva/files/osfstorage/5e13502257341901c3805317 <br> website and analyzed its content with an in-house R script (in this repo):<br> 1) SCRIPT: fig1_Analyzing_journals_policies_and_TOP_guidelines.R<br> 2) SCRIPT: Figure2a_b_TOP_impl_journal_statistist_0_1_piechart_barplot.R<br> In order to get statistics about implementation of the TOP guidelines across discipline-specific journals, <br> we extracted information about journal’s disciplines from the Scopus content database. <br> We downloaded SCOPUS content coverage from the https://www.elsevier.com/solutions/scopus/how-scopus-works/content?dgcid=RN_AGCM_Sourced_300005030 (existJuly2022.xlsx)<br> and used the first Sheet.<br> We identified match between those 2 tables: <br> 3) SCRIPT: Rscript_overlapping_TOP_dataframe_and_SCOPUS_db.R<br> And resulted in Overlap_SCOPUS_TOP.rds file<br> And performed visualization and statistics:<br> 4) SCRIPT: Fig_3_Tab2_Defining_science_disciplines_plus_plot.R</p> <p> </p> <p>#RESULTS Submitted to Publications 30.9.2022.</p> <p>Reviewed 2.11.2022.</p> <p>Latest version: 25.11.2022.</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.