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Dataset results
16 results for “research cycle”
Chemical data accompanying the manuscript "Chromium cycling in redox-stratified basins challenges δ53Cr paleoredox proxy applications" in Geophysical research Letters
<p>Water column and sediment chromium concentration and stable isotope data and ancillary metal data from Lake Cadagno, Switzerland. These data accompany a manuscript by the same authors in Geophysical Research Letters (doi: 10.1029/2022GL099154).</p> <p> </p> <p>The associated CTD data are available in the following Zenodo dataset: Sepúlveda Steiner, O., Carlino, C., Haizmann, E., Roman, S., Wüest, A., & Bouffard, D. (2022). Lake Cadagno 2017 CTD and water quality monitoring [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.7127882">http://doi.org/10.5281/zenodo.7127882</a></p>
The Research Life Cycle
<p>A diagram of the Research Life Cycle as used for communication by the Vrije Universiteit (VU) Amsterdam.</p> <p>This diagram was partly inspired by a diagram by <a href="https://www.jisc.ac.uk/guides/research-data-management">JISC and Bonner McHardy</a> that was released under a <a href="http://creativecommons.org/licenses/by-nc-nd/3.0">CC BY-NC-ND</a> licence.</p>
Research Data Life cycle
<p>Research Life cycle Headings & Key Points.</p> <p>1- Planning:</p> <ul> <li>Data management planning (DMPs)</li> <li>Data description and metadata extraction</li> <li>Data documentation</li> <li>Choice of repositories</li> <li>Choices of file formats</li> <li>Data re-use</li> <li>Funders requirements</li> <li>File naming</li> <li>Ethics and Research conduct</li> <li>Funding for RDM activities</li> </ul> <p>2- Managing:</p> <ul> <li>Storage and backup & security</li> <li>Active Metadata collection</li> <li>Tools and software solutions</li> <li>Curation</li> <li>Versioning</li> <li>Provenance</li> </ul> <p>3- Sharing</p> <ul> <li>Data access and Sharing rights</li> <li>Data privacy and GDPR compliance</li> <li>Data ownership, licensing</li> <li>Data Transfer</li> <li>GDPR</li> </ul> <p>4- Preservation and Publication</p> <ul> <li>Citation</li> <li>PrePrint</li> <li>DOI</li> <li>Publishing requirements</li> <li>Long Term Storage</li> <li>Archival and Disposal policies</li> </ul>
Research Data Life Cycle
<p>Visual description of an ideal research data life cycle, including traditional elements (dark blue), data reuse elements (light blue) and dissemination/sharing/publication elements (light red).</p> <p>Inspired by: Ruegg et al, Completing the data life cycle: using information management in macrosystems ecology research, Front Ecol Environ 2014; 12(1): 24–30, doi:10.1890/120375</p>
Research and Innovation Funding Cycle
<p>This figure broadly sketches the cycle of research and innovation funding from the perspective of funding agencies (RFOs). Depending on the specific workflows and regulatory framework within which an RFO operates, some steps may have greater weight or overlap with others. For instance, strategy development and program development might go hand in hand, while a program evaluation might inform the development of a new program without the development of a new strategy. </p> <p>As an output developed in the context of the H2020 project PRO-Ethics, the graph showcases where within an R&I funding cycle participatory engagement may be undertaken. </p>
CESM2 Mechanically Decoupled (MD) for "Summer westerly wind intensification weakens Southern Ocean seasonal cycle under global warming" - submitted to Geophysical Research Letters
<p>CESM2 Experiment names:</p> <ul> <li>MD = mechanically decoupled model (referred to as MD in paper)</li> <li>FC = fully coupled model (referred to as FC in paper)</li> </ul> <p>Decoding file names:</p> <ul> <li>ensmean refers to ensemble mean</li> <li>trend refers to linear trend over 1950-2014</li> </ul> <p>Variables:</p> <ul> <li>SST = sea surface temperature</li> <li>HMXL = mixed layer depth</li> <li>WSPDSRFAV = horizontal total wind speed average at the surface</li> </ul>
Research Data Management Life Cycle
<p>An overview of the research data management life cycle with proper licensing.</p> <p> </p>
Dataset: Problem-centred interviews results for Matching Data Life Cycle and Research Processes in Engineering Sciences
<p>The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.</p>
Research gaps limit understanding of invasion-fire cycles
<p>These files provide the data underlying our publication that reviews what is currently known about plant invasion-fire cycles, including complete lists of all papers and the data we gathered from them.</p>
Results dataset for research paper "Ultra-long-duration energy storage anywhere: methanol with carbon cycling"
<p>Results dataset for research paper <a href="https://doi.org/10.1016/j.joule.2023.10.001">Ultra-long-duration energy storage anywhere: methanol with carbon cycling</a>. The code is also available on <a href="https://github.com/PyPSA/methanol-uldes">GitHub</a>. Results include both the raw PyPSA NetCDF networks as well as summary files for each run. The main runs from the paper are in the directory "final-main". Runs for the other countries (Ireland, France, Sweden) are in "final-IEFRSE". Runs without wind power are in "final-nowind".</p>
Research gaps limit understanding of invasion-fire cycles
Open the record for dataset details and reuse information.
Codes for "Summer westerly wind intensification weakens Southern Ocean seasonal cycle under global warming" - submitted to Geophysical Research Letters
<pre>This repository contains the NCAR Command Language (NCL) codes (*.ncl files) used to produce the related contents of Zhang et al. (2024). For queries about this repository and its contents, please contact me (zhangyiwen2024@gmail.com). Figure 1.ncl: For plotting main Fig.1. Figure 2.ncl: For plotting main Fig.2. Figure 3.ncl: For plotting main Fig.3. Figure 4.ncl: For plotting main Fig.4.<br>Figure 5.ncl: For plotting main Fig.5. References: Zhang et al. Summer westerly wind intensification weakens Southern Ocean seasonal cycle under global warming. Geophysical Research Letters. (2024).</pre>
Dataset related to Research Article: Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system
<p>Dataset related to research article:</p> <p><strong>Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system</strong></p> <p>by Jacob Mannhardt, Paolo Gabrielli, Giovanni Sansavini (sansavig@ethz.ch)<br>Reliability and Risk Engineering Lab, Institute of Energy and Process Engineering, ETH Zurich</p> <p>All rights lie with the authors. All input data, source code, and result files needed to reproduce results and study. <br>Refer to README.docx for further information on content.</p>
Data containing alitude profiles of Joule heating and Pedersen conductivity from EISCAT and TIE-GCM used for the research work "A comparative assessment of the distribution of Joule heating in altitude as estimated in TIE-GCM and EISCAT over one solar cycle"
<p>This archive contains the data used for the research work with title "A comparative assessment of the distribution of Joule heating in altitude as estimated in TIE-GCM and EISCAT over one solar cycle". The data represent Joule heating and Pedersen conductivity altitude profiles for the duration of the solar cycle 24 between the years 2009 and 2019. The information is separated by Magnetic Local Time, Kp index and altitude. There are data from the EISCAT incoherent scatter radar in Matlab format and from a TIE-GCM simulation executed at the Department of Electrical and Computer Engineering, Democritus University of Thrace in NetCDF format. </p>
Disease-Modifying Antirheumatic Drugs Cycle Combination Therapy Research
ClinicalTrials.gov study NCT01617590. IPD Sharing: Not stated. Countries: 1. Publications: 0.
NSF Collaborative Research: A RAPID response to Hurricane Harvey impacts on coastal carbon cycle, metabolic balance and ocean acidification
Collaborative Research: A RAPID response to Hurricane Harvey's impacts on coastal carbon cycle, metabolic balance and ocean acidification.
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.