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761 results for “data journal”
Data to reproduce the results presented in Sehgal et al. 2022. Journal of Geophysical Research Earth Surface, https://doi.org/10.1029/2022JF006838 ("A Generic Relation Between Turbidity, Suspended Particulate Matter Concentration, and Sediment Characteristics")
<p>This repository consists data to reproduce results as presented in: "A Generic Relation Between Turbidity, Suspended Particulate Matter Concentration, and Sediment Characteristics", Journal of Geophysical Research Earth Surface. Kindly refer to the readme.text file to navigate through the dataset.</p>
Data for: Five decades of biogeography: A view from the Journal of Biogeography
<p>Since the first issue of <em>Journal of Biogeography</em> (JBI) was published in 1974, the discipline and its eponymous journal have grown in scope and consequence. On this 50th anniversary of the journal, we reflect on changes in biogeography and publishing, describe trends of the past five decades, and present lists of the 50 most-cited articles from JBI's back catalogue. We describe current initiatives intended to chart a course for continued success in the coming 50 years, during what may well be a period of global biogeographic crises.</p>
Data set for the journal article: The Spatial Distribution of Cobalt Phthalocyanine and Copper Nanocubes Controls the Selectivity towards C2 Products in Tandem Electrocatalytic CO2 Reduction
<p>Data set for the journal article:</p> <p>The coupling of CO-generating molecular catalysts with copper electrodes in tandem schemes is a promising strategy to boost the formation of multi-carbon products in the electrocatalytic reduction of CO<sub>2</sub>. While the spatial distribution of the two components is important, this aspect remains underexplored, especially for molecular-based tandem systems. Herein, we address this knowledge gap by studying tandem catalysts comprising Co-phthalocyanine (CoPc) and Cu nanocubes (Cu<sub>cub</sub>). In particular, we identify the importance of the relative spatial distributions of the two components on the performance of the tandem catalyst by preparing CoPc-Cu<sub>cub</sub>/C, wherein the CoPc and Cu<sub>cub</sub> share an interface, and CoPc-C/Cu<sub>cub</sub>, wherein the CoPc is loaded first on carbon black (C) before mixing with the Cu<sub>cub</sub>. The electrocatalytic measurements of these two catalysts show that the faradaic efficiency towards C<sub>2 </sub>products almost doubles for the CoPc-Cu<sub>cub</sub>/C, whereas it decreases by half for the CoPc-C/Cu<sub>cub</sub>, compared to the Cu<sub>cub</sub>/C. Our results highlight the importance of a direct contact between the CO-generating molecular catalyst and the Cu to promote C-C coupling, which hints at a surface transport mechanism of the CO intermediate between the two components of the tandem catalyst instead of a transfer via CO diffusion in the electrolyte followed by re-adsorption.</p>
Data products associated with: Tamburo, Withers, Dalba, Moore, and Koskinen (2023) Cassini radio occultation observations of Saturn's ionosphere: Electron density profiles from 2005 to 2013, Journal of Geophysical Research, doi:10.1029/2023JA031310
<p>These data products are associated with Tamburo, Withers, Dalba, Moore, and Koskinen (2023) Cassini radio occultation observations of Saturn’s ionosphere: Electron density profiles from 2005 to 2013, Journal of Geophysical Research, doi:10.1029/2023JA031310. At the time of writing, this manuscript is under review. In the future, these data products will be submitted for archiving at the NASA Planetary Data System (PDS).</p> <p> </p>
Data for the Journal article "Reduced whereas still noteworthy atmospheric pollution of trace elements in China"
<p>This dataset provides the trace elements emission inventory with 27km resolution for China in 2017, the model simulated concentrations of trace elements for China in 2017 and the associated health risks of trace elements for China in 2017.</p>
DAta set. Fallen Journals
<p>Producción de las universidades españolas en el periodo 2018-2022, en las revistas expulsadas de Web of Science en 2023. Se incluye le listado de autores que tienen 6 o más trabajos.</p>
Data from: Collective protection against the type VI secretion system in bacteria (The ISME Journal 2023)
<p>Raw experimental data as presented in Granato, Smith & Foster The ISME Journal 2023.</p> <p>Data used to prepare each figure can be found under separate tabs.<br> Tabs are labelled with their corresponding figure number in the manuscript.</p>
Supporting data to reproduce figures and anaylisis presented in Bruciaferri et al. 2023 - submitted to Journal of Advances in Modeling Earth Systems (JAMES)
<p>Data for reproducing figures and the analysis of</p> <p>Diego Bruciaferri, Catherine Guiavarc’h, Helene T. Hewitt, James Harle, Mattia Almansi and Pierre Mathiot. Localised general vertical coordinates for quasi-Eulerian ocean models: the Nordic overflows test-case, submitted to JAMES.</p> <p>Data includes (© Crown copyright Met Office):</p> <p>1) models_geometry: bathymetry, horizontal grid and domain files needed to run the models and analyse their results.</p> <p>2) hpge: output data from HPG error idealised test.</p> <p>3) ideal_ovf: output data from the idealised overflow experiment</p> <p>4) realistic: output data from the realistic simulations</p>
Data set for the journal article "Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol"
<p>Raw data for the article " Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol", already published in Catalysis Today, DOI: https://doi.org/10.1016/j.cattod.2021.04.010</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>
Data for publication "Wissenschaft fürs Wohnzimmer" - 2 years of weekly interactive, scientific livestreams on YouTube in Journal Polarforschung
<p>Data from the YouTube channel "Wissenschaft fürs Wohnzimmer"</p>
Data set supporting publication "Hydrological Coupling and Decoupling of Hydric Hemi-boreal Forest Sites Inferred from Soil Water Models and Tree-Ring Chronology" by Kalvāns A. and Dauškane I. accepted for publication in the scientific journal Forests
<p>These files are supporting information for the article:</p> <p>Kalvāns, Daukškane (<em>accepted</em>). Hydrological Coupling and Decoupling of Hydric Hemi-boreal Forest Sites Inferred from Soil Water Models and Tree-Ring Chronology. <em>Forests</em></p> <p>The data set comprises following elements:</p> <ol> <li>Hydrus-1D soil water model setup files and calculation results ([1_Hydrus_1D_hydric_forest_soil_water_model_instances.zip]) for two study plots and 12 model instances, with following naming convention: [{Site Identifier}__{proportion of active leaf area index}_kLAI__{forced groundwater exfiltration rate cm/day}_SeepIn_const]. That is model instance named [P1__0.4_kLAI__0.05_SeepIn_const.h1d], considers the study site Plot_1, the active leafe area proportion is 0.4 and it has applied constant rate of groundwater exfiltration at the base of the soil column of 0.05 cm/day. The models are forced by E-OBS v26.0e data set for the period from 1980-01-01 to 2022-06-30.</li> <li>Black alder <em>Alnus glutinosa</em> tree ring chronologies for the two study plots ([2_tree_ring_data.zip])</li> <li>Soil and ground-water observation time series for the two study plots ([3_soil_ground_water_observations.zip])</li> </ol>
Data Silva et al. Journal of Applied Entomology
<p>DATA</p>
Pay It Forward: Journal Cost Modeling Data
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Data from: Gender diversity of editorial boards and gender differences in the peer review process at six journals of ecology and evolution.
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Data from: Evaluating adherence to the International Committee of Medical Journal Editors’ policy of mandatory, timely clinical trial registration
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Data from: The effectiveness of journals as arbiters of scientific quality
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Data for: Five decades of biogeography: A view from the Journal of Biogeography
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Data from: Gender disparity in physician authorship among commentary articles in high impact medical journals
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Leveraging metrics to drive data sharing at the Science journals
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Data of the article "Journal research data sharing policies: a study of highly-cited journals in neuroscience, physics, and operations research"
<p>The journals’ author guidelines and/or editorial policies were examined on whether they take a stance with regard to the availability of the underlying data of the submitted article. The mere explicated possibility of providing supplementary material along with the submitted article was not considered as a research data policy in the present study. Furthermore, the present article excluded source codes or algorithms from the scope of the paper and thus policies related to them are not included in the analysis of the present article.</p> <p>For selection of journals within the field of neurosciences, Clarivate Analytics’ InCites Journal Citation Reports database was searched using categories of neurosciences and neuroimaging. From the results, journals with the 40 highest Impact Factor (for the year 2017) indicators were extracted for scrutiny of research data policies. Respectively, the selection journals within the field of physics was created by performing a similar search with the categories of physics, applied; physics, atomic, molecular & chemical; physics, condensed matter; physics, fluids & plasmas; physics, mathematical; physics, multidisciplinary; physics, nuclear and physics, particles & fields. From the results, journals with the 40 highest Impact Factor indicators were again extracted for scrutiny. Similarly, the 40 journals representing the field of operations research were extracted by using the search category of operations research and management. </p> <p>Journal-specific data policies were sought from journal specific websites providing journal specific author guidelines or editorial policies. Within the present study, the examination of journal data policies was done in May 2019. The primary data source was journal-specific author guidelines. If journal guidelines explicitly linked to the publisher’s general policy with regard to research data, these were used in the analyses of the present article. If journal-specific research data policy, or lack of, was inconsistent with the publisher’s general policies, the journal-specific policies and guidelines were prioritized and used in the present article’s data. If journals’ author guidelines were not openly available online due to, e.g., accepting submissions on an invite-only basis, the journal was not included in the data of the present article. Also journals that exclusively publish review articles were excluded and replaced with the journal having the next highest Impact Factor indicator so that each set representing the three field of sciences consisted of 40 journals. The final data thus consisted of 120 journals in total. </p> <p>‘Public deposition’ refers to a scenario where researcher deposits data to a public repository and thus gives the administrative role of the data to the receiving repository. ‘Scientific sharing’ refers to a scenario where researcher administers his or her data locally and by request provides it to interested reader. Note that none of the journals examined in the present article required that all data types underlying a submitted work should be deposited into a public data repositories. However, some journals required public deposition of data of specific types. Within the journal research data policies examined in the present article, these data types are well presented by the Springer Nature policy on “Availability of data, materials, code and protocols” (Springer Nature, 2018), that is, DNA and RNA data; protein sequences and DNA and RNA sequencing data; genetic polymorphisms data; linked phenotype and genotype data; gene expression microarray data; proteomics data; macromolecular structures and crystallographic data for small molecules. Furthermore, the registration of clinical trials in a public repository was also considered as a data type in this study. The term <em>specific data types</em> used in the custom coding framework of the present study thus refers to both life sciences data and public registration of clinical trials. These data types have community-endorsed public repositories where deposition was most often mandated within the journals’ research data policies.</p> <p>The term ‘location’ refers to whether the journal’s data policy provides suggestions or requirements for the repositories or services used to share the underlying data of the submitted works. A mere general reference to ‘public repositories’ was not considered a location suggestion, but only references to individual repositories and services. The category of ‘immediate release of data’ examines whether the journals’ research data policy addresses the timing of publication of the underlying data of submitted works. Note that even though the journals may only encourage public deposition of the data, the editorial processes could be set up so that it leads to either publication of the research data or the research data metadata in conjunction to publishing of the submitted work.<em> </em></p> <p> </p>
ScienceDex guides
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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.