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1,773 results for “Supplementary data,”
supplementary data
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Supplementary data(Jiacha County area) (including Liegang landslide boundary,Yarlung Tsangpo faults locations, and 14C and 10Be sampling locations) (V1)
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Supplementary Data of Thesis
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Supplementary Data File for Safeguarding China's long-term sustainability against systemic disruptors
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Supplementary data (Paradox lens on sustainable offshore wind development – A systematic literature review)
<p>Supplementary data for research article.</p>
Tetracarcinus Supplementary Data, JPALEO paper
<p>Supplementary data.</p>
Supplementary data for the manuscript "Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatistical Based Method: Hungarian Case Study.
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Supplementary data
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Supplementary data for "Novel isolates expand the physiological diversity of Prochlorococcus and illuminate its macroevolution" by Becker et. al.
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Supplementary data to 'Feedbacks and non-linearity of silicate glass alteration in hyperalkaline solution studied by in operando fluid-cell Raman spectroscopy'
<p>Additiona data to published article:</p> <p>Müller G., Fritzsche M. B. K., Dohmen L. and Geisler T. (2022) Feedbacks and non-linearity of silicate glass alteration in hyperalkaline solution studied by in operando fluid-cell Raman spectroscopy. Geochim. Cosmochim. Acta 329, 1–21.<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.gca.2022.05.013" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.gca.2022.05.013</span></span></a></p>
Supplementary_Data_2
<p>Stastistical data and R code used to analyse expert opinion in Tosh et al (2014) Biotic stress and yield stability in English organic silvoarable agroforestry. Agronomy for Sustainable Development.</p>
Supplementary Data for Channel Morphological Characteristics and Morphodynamic Processes of Large Braided Rivers
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Supplementary data for the publication entitled "Second life for recycled concrete and other construction and demolition waste in mortars for masonry: full scope of material properties, performance, and environmental aspects"
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Supplementary material 4 from: Bragança PHN, Amorim PF, Costa WJEM (2018) Pantanodontidae (Teleostei, Cyprinodontiformes), the sister group to all other cyprinodontoid killifishes as inferred by molecular data. Zoosystematics and Evolution 94(1): 137-145. https://doi.org/10.3897/zse.94.22173
Substitution models according to JModeltest 2.1.7 :
Supplementary material 1 from: Bragança PHN, Amorim PF, Costa WJEM (2018) Pantanodontidae (Teleostei, Cyprinodontiformes), the sister group to all other cyprinodontoid killifishes as inferred by molecular data. Zoosystematics and Evolution 94(1): 137-145. https://doi.org/10.3897/zse.94.22173
List of species, localities and respective Genbank accession numbers :
Supplementary material 2 from: Bragança PHN, Amorim PF, Costa WJEM (2018) Pantanodontidae (Teleostei, Cyprinodontiformes), the sister group to all other cyprinodontoid killifishes as inferred by molecular data. Zoosystematics and Evolution 94(1): 137-145. https://doi.org/10.3897/zse.94.22173
Material examined :
Supplementary Data: Code, Input Data and Model data: PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p>Supplementary Data (preliminary version)</p> <p>PyPSA-Eur: An Open Optimisation Model of the European Transmission System</p> <p>Authors: J. Hörsch, F. Hofmann, D. Schlachtberger, T. Brown</p> <p>and</p> <p>The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios</p> <p>Authors: J. Hörsch, T. Brown</p> <p>The files in this record contain the scripts to build a <a href="http://pypsa.org/">PyPSA</a> model of the European Electricity System including renewable feed-in from wind, solar and hydro installations derived from reanalysis weather data satellite irradiation. The model PyPSA-Eur is described in the above publication.</p> <p><strong>Scripts</strong></p> <p>To use the scripts, you need the following free software Python libraries:</p> <ul> <li><a href="https://github.com/PyPSA/PyPSA">PyPSA</a> for the modelling framework</li> <li><a href="https://github.com/FRESNA/vresutils">vresutils</a> for various helper functions to build the model instance</li> <li><a href="https://github.com/FRESNA/atlite">atlite</a> to process weather data into power system data</li> <li><a href="https://snakemake.readthedocs.io/en/latest/">snakemake</a> to organise the execution of the software</li> </ul> <p>and other standard libraries from the <a href="https://pypi.python.org/pypi">Python Package Index</a> (PyPI), such as pandas, pyomo, countrycode, etc.</p> <p>snakemake requires that all code runs with Python version 3. The code setup is known to work with the following versions: PyPSA 0.12.0, pandas 0.21.1, numpy 0.14.0, scipy 0.19.1, pyomo 5.2. You may need to downgrade your libraries to these versions for the scripts to work.</p> <p>The Python scripts in this repository (in the directory scripts/) are released under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GNU General Public Licence Version 3.0</a> (GPL 3.0).</p> <p>The scripts build_*.py process all raw input data into a form where it can be used in the model.</p> <p>base_network.py creates the initial PyPSA network topology.</p> <p>add_electricity.py adds generators and storage units to the models, it generates the detailed resolved model described in the PyPSA-Eur paper.</p> <p>simplify_network.py removes stub ac-buses from network topology and simplifies long dc lines.</p> <p>cluster_network.py creates clustered representations of the electricity network for a given number of buses following the topology described in the "spatial scale" paper.</p> <p>prepare_network.py adds parameters like the CO2 limit and the transmission expansion volume relevant for the optimization to the model.</p> <p>All scripts are managed with the <a href="http://snakemake.readthedocs.io/en/latest/">snakemake</a> workflow management tool.</p> <p>To run the scripts, adjust the parameters in config.yaml and cluster.yaml to your local configuration. Then simply execute</p> <pre><code>snakemake</code></pre> <p>for the rule you want to run.</p> <p><strong>Data</strong></p> <p>The input data include:</p> <ul> <li>Electricity sector data</li> <li>Topology derived from the analysis of an extract of the <a href="https://www.entsoe.eu/data/map/">ENTSO-E online map</a> using <a href="https://github.com/bdw/GridKit">GridKit</a> .</li> <li>A cost database with literature sources.</li> </ul> <p> </p>
Supplementary material 7 from: Schmidt M, Lischeid G, Nendel C (2018) Data on and methodology for measurements of microclimate and matter dynamics in transition zones between forest and adjacent arable land. One Ecosystem 3: e24295. https://doi.org/10.3897/oneeco.3.e24295
R Script for converting of microclimatic data
Supplementary material 1 from: Borghi J, Abrams S, Lowenberg D, Simms S, Chodacki J (2018) Support Your Data: A Research Data Management Guide for Researchers. Research Ideas and Outcomes 4: e26439. https://doi.org/10.3897/rio.4.e26439
A formatted version of the Support Your Data RDM rubric.
Supplementary material 1 from: Mulcahy DG, Lee JL, Miller AH, Chand M, Thura MK, Zug GR (2018) Filling the BINs of life: Report of an amphibian and reptile survey of the Tanintharyi (Tenasserim) Region of Myanmar, with DNA barcode data. ZooKeys 757: 85-152. https://doi.org/10.3897/zookeys.757.24453
12S and 16S neighbor-joining trees :
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.