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7,370 results for “supplementation”
Supplemental Data to PhD Dissertation entitled "Non-Coding and Epigenetic Regulators of Ambient Temperature Sensitive Flowering"
<p>Supplemental Data to the PhD dissertation entitled "Non-Coding and Epigenetic Regulators of Ambient Temperature Sensitive Flowering" from Suze Blom, Wageningen University & Research (doi:10.18174/670822). Supplementary data to the chapter entitled "Ambient temperature dependent changes in DNA methylation in Arabidopsis thaliana Col-0 and the decrease in DNA methylation 1 mutant" [manuscript in preparation]</p> <p>Includes Supplemental Data:</p> <p>Supplementary Data 1: Significantly differently expressed (DE) genes in Col-0 after the 24 hour ambient temperature switch from 16°C to 25°C. padj value of 0.05 was set as the cutoff value for statistical significance.</p> <p>Supplementary Data 2: Significantly differently expressed (DE) genes in ddm1-10 after the 24 hour ambient temperature switch from 16°C to 25°C. padj value of 0.05 was set as the cutoff value for statistical significance.</p> <p>Supplementary Data 3: Alternative splicing (AS) of transcripts after an ambient temperature change from 16°C to 25°C in Col-0. Gene ID, splicing event, genomic location, AS frequency and padj values are indicated.</p> <p>Supplementary Data 4: Alternative splicing (AS) of transcripts after an ambient temperature change from 16°C to 25°C in ddm1-10. Gene ID, splicing event, genomic location, AS frequency and padj values are indicated.</p> <p>Supplementary Data 5: List of genes in Col-0 (sheet 1) and ddm1-10 (sheet 2) with both significant AS and DMC associated with them. Gene ID and number of DMCs associated with the gene are indicated.</p>
Crossroads of Commerce: How the Taiwan Strait Propels the Global Economy - Supplemental Material
<p>Supplemental Material to the CSIS Report: <a href="https://features.csis.org/chinapower/china-taiwan-strait-trade"><em>Crossroads of Commerce: How the Taiwan Strait Propels the Global Economy</em></a></p> <ol> <li><em>tws_2022_trade_value_estimates.csv</em> contains estimated trade value in USD for 2022. Denominators for % estimates based on <a href="https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37">2022 CEPII BACI bilateral trade flows</a><br> <table> <tbody> <tr> <td><strong>Variable</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>ISO</td> <td>ISO3 Country Code</td> </tr> <tr> <td>Economy </td> <td>Country/Region Name</td> </tr> <tr> <td>TWS Imports_bln</td> <td>US$ value (billions) of imports that transit the Taiwan Strait</td> </tr> <tr> <td>TWS Imports_%</td> <td>% of total imports that transit the Taiwan Strait</td> </tr> <tr> <td>TWS Exports_bln</td> <td>US$ value (billions) of exports that transit the Taiwan Strait</td> </tr> <tr> <td>TWS Exports_%</td> <td>% of total exports that transit the Taiwan Strait</td> </tr> <tr> <td>Total TWS Trade_bln</td> <td>US$ value (billions) of trade (imports+exports) that transits the Taiwan Strait</td> </tr> <tr> <td>Total TWS Trade_%</td> <td>% of total trade (imports+exports) that transits the Taiwan Strait</td> </tr> </tbody> </table> </li> <li> <em>ChinaPower_CrossroadsCommerce_TaiwanStrait_methodology.pdf </em>provides and overview of methodology and data sources. </li> <li> <em>ChinaPower_CrossroadsCommerce_TaiwanStrait_factsheet.pdf </em>provides key highlights derived from the data.</li> </ol> <p>For questions about the data, please contact David Peng (dpeng@csis.org) </p> <p> </p>
Linked collectors and determiners for: The Australian Ciidae (Coleoptera: Tenebrionoidea): supplement.
Natural history specimen data linked to collectors and determiners held within, "The Australian Ciidae (Coleoptera: Tenebrionoidea): supplement". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/65d1b3a0-34d2-41a2-a1de-3207bb3ff615">https://bionomia.net/dataset/65d1b3a0-34d2-41a2-a1de-3207bb3ff615</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/65d1b3a0-34d2-41a2-a1de-3207bb3ff615">https://gbif.org/dataset/65d1b3a0-34d2-41a2-a1de-3207bb3ff615</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Diura Washingtoniana (Hanson) Resurrected From Synonymy With D. Nanseni (Kempny) (Plecoptera: Perlodidae), Supplemented With A Description Of The Larva And Egg And Comparison To Other Congeners.
Natural history specimen data linked to collectors and determiners held within, "Diura Washingtoniana (Hanson) Resurrected From Synonymy With D. Nanseni (Kempny) (Plecoptera: Perlodidae), Supplemented With A Description Of The Larva And Egg And Comparison To Other Congeners". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d4278396-ea28-41d5-bbf8-7be81db95c02">https://bionomia.net/dataset/d4278396-ea28-41d5-bbf8-7be81db95c02</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d4278396-ea28-41d5-bbf8-7be81db95c02">https://gbif.org/dataset/d4278396-ea28-41d5-bbf8-7be81db95c02</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: New or rare Madagascar tiger beetles- 20. Pogonostoma (Bathypogonum) horimichioi sp. nov. and supplemented characters of P. (B) levigatum levigatum (W. Horn) and P. (B.) levigatum lucens Rivalier (Coleoptera: Cicindelidae).
Natural history specimen data linked to collectors and determiners held within, "New or rare Madagascar tiger beetles- 20. Pogonostoma (Bathypogonum) horimichioi sp. nov. and supplemented characters of P. (B) levigatum levigatum (W. Horn) and P. (B.) levigatum lucens Rivalier (Coleoptera: Cicindelidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0b136600-8384-4130-8c2e-94c6678f3dd2">https://bionomia.net/dataset/0b136600-8384-4130-8c2e-94c6678f3dd2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0b136600-8384-4130-8c2e-94c6678f3dd2">https://gbif.org/dataset/0b136600-8384-4130-8c2e-94c6678f3dd2</a>. Formatted as a Frictionless Data package.
Determination of hordenine in beer samples and bodybuilding supplement at the electrified liquid-liquid interface
<p>Data set for the paper " Determination of hordenine in beer samples and bodybuilding supplement at the electrified liquid-liquid interface"</p>
Confocal surface texture analysis included in the paper Paixao et al. 2021 - QI. (supplemental to SOM2)
<p>This upload contains all final reports and data of the Confocal surface texture analysis done with ConfoMap and included in the paper Paixao et al. 2021. The Middle Paleolithic Ground Stones Tools of Nesher Ramla Unit V (Southern Levant): a multi-scale use-wear approach for assessing the assemblage functional variability. Quaternary International. (https://doi.org/10.1016/j.quaint.2021.06.009)</p> <p> </p> <p>Pre-print: https://osf.io/gyvw8/</p> <p> </p> <p>Instructions to download all files at once are given here: <a href="https://doi.org/10.5281/zenodo.4011952">https://doi.org/10.5281/zenodo.4011952</a></p>
Supplemental datafiles for the manuscript "On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland"
<p>Files to accompany the submission of the manuscript <strong>"On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland" </strong>to the Journal of Geophysical Research: Solid Earth.<br> <br> <strong>File 1: </strong>conorbacon_ds01.inp - Input file for Coulomb</p> <p><strong>File 2: </strong>conorbacon_ds02.txt - Shear-wave splitting results file</p> <p> </p>
Supplemental data of publication "Reactive Transport Model of Kinetically Controlled Celestite to Barite Replacement".
<p>Supplemental data of publication "Reactive Transport Model of Kinetically Controlled Celestite to Barite Replacement".</p> <p>Authors: Morgan Tranter, Maria Wetzel, Marco De Lucia, Michael Kühn</p> <p>Contact: mtranter@gfz-potsdam.de</p> <p>Submitted to Advances in Geosciences (31.06.2021).<br> Special Issue: European Geosciences Union General Assembly 2021, EGU Division Energy, Resources & Environment (ERE)</p> <p>EGU21 Abstract:<br> https://doi.org/10.5194/egusphere-egu21-9832</p> <p>Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)</p>
Supplemental data
<p>Supplemental data for publication Klapste et al. (2021). The Use of ``Genotyping-by-Sequencing'' to Recover Shared Genealogy in Genetically Diverse Eucalyptus Populations. Forests</p>
Dataset for "Diets supplemented with Saccharina latissima influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (Oncorhynchus mykiss) fillet composition" (doi.org/10.1016/j.fct.2020.111332)
<p>Dataset corresponding to the following article:</p> <p>Ferreira, M., Larsen, B.K., Granby, K., Cunha, S.C., Monteiro, C., Fernandes, J.O., Nunes, M.L., Marques, A., Dias, J., Cunha, I., Castro, L.F.C., Valente, L.M.P., 2020. Diets supplemented with <em>Saccharina latissima </em>influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (<em>Oncorhynchus mykiss</em>) fillet composition. Food Chem. Toxicol. 140, 111332. <a href="https://doi.org/10.1016/j.fct.2020.111332">https://doi.org/10.1016/j.fct.2020.111332</a></p>
Supplemental data for Wiese et al., 2021
<p>Supplemental Data sets for Wiese et al., 2021: Can fractal dimensions objectivize gastropod shell morphometrics? A case study from Lake Lugu (SW China)</p>
Supplement to "Rotation and Lithium Confirmation of a 500 Parsec Halo for the Open Cluster NGC2516"
<p>This repository contains supplementary data to the paper "Rotation and Lithium Confirmation of a 500 Parsec Halo for the Open Cluster NGC2516", which will be published in the Astronomical Journal in 2021 (https://arxiv.org/abs/2107.08050). Please see README.txt for a detailed description of the contents. To unzip and decompress the gzipped tarball file, <em>tar -xvzf ngc2516supplementary.tar.gz</em> should work on most computers.</p>
Supplement to Creating Mobile Self-Triage Applications: Requirements and Usability Perspectives
<p>This is a supplement to our paper "Creating Mobile Self-Triage Applications: Requirements and Usability Perspectives", presented at the <strong>Second International Workshop on Requirements Engineering for Well-Being, Aging, and Health</strong> (REWBAH 2021, https://sites.google.com/view/rewbah2021) and published by IEEE CS.</p> <p>This zip file contains the email template used to invite participants, the consent letter, the pre-test interview, the protocol for the evaluator, the participant tasks, a questionnaire, and a description of three scenarios.</p> <p>Note that the Symptoms Pal application discussed in the paper was named <em>Symptom Checker Mobile</em> (SCM) at the time we performed the usability study.</p>
Supplement: Multicenter validated detection of focal cortical dysplasia using deep learning
<p><span><b><span>Objective</span></b><span>. </span><span><span>To test the hypothesis that a multicenter-validated computer deep learning algorithm detects MRI-negative focal cortical dysplasia (FCD).</span></span></span></p> <p><span><b><span>Methods</span></b><span>. We used clinically acquired 3D T1-weighted and 3D FLAIR MRI of 148 patients (median age, 23 years [range, 2-55]; 47% female) with histologically verified FCD at nine centers to train a deep convolutional neural network (CNN) classifier. Images were initially deemed as MRI-negative in 51% of cases, in whom intracranial EEG determined the focus. For risk stratification, the CNN incorporated Bayesian uncertainty estimation as a measure of confidence. To evaluate performance, detection maps were compared to expert FCD manual labels. </span><span><span>We also tested sensitivity in an independent cohort of </span></span><span><span>23 FCD cases (13±10 years</span></span><span><span>).</span></span><span> Applying the algorithm to 38 healthy and 63 temporal lobe epilepsy disease controls tested specificity. </span></span></p> <p><span><b><span>Results.</span></b><span> Overall sensitivity was 93% (137/148 FCD detected) using a leave-one-site-out cross-validation, with an average of six false positives per patient. Sensitivity in MRI-negative FCD was 85%. In 73% of patients, the FCD was among the clusters with the highest confidence; in half it ranked the highest. </span><span><span>Sensitivity in the </span></span><span><span>independent cohort was </span></span><span><span>83% (19/23; average of five false positives per patient).</span></span><span> Specificity was 89% in healthy and disease controls.</span></span></p> <p><span><b><span>Conclusions</span></b><span>. This first multicenter-validated deep learning detection algorithm yields the highest sensitivity to date in MRI-negative FCD. By pairing predictions with risk stratification</span><span><span> this classifier may assist clinicians to adjust hypotheses relative to other tests, increasing </span></span><span>diagnostic confidence</span><span><span>.</span></span><span> Moreover, generalizability across age and MRI hardware </span><span><span>makes this approach ideal for pre-surgical evaluation of MRI-negative epilepsy. </span></span></span></p> <p><b><span>Classification of evidence</span></b><span>. This study provides Class III evidence that deep learning on multimodal MRI accurately identifies FCD in epilepsy patients initially diagnosed as MRI-negative.</span></p>
Figs 1-6 in Supplement to the knowledge of the genera Baeocera ERICHSON, 1845 and Scaphobaeocera CSIKI, 1909 (Coleoptera, Staphylinidae, Scaphidiinae) of the People's Republic of China
Figs 1-6: Baeocera karenovicsi nov.sp., genitalia. (1) Aedeagus in dorsal view; (2) Apical part of median lobe in lateral view; (3) Internal sac; (4) Paramere in ventral view; (5) Paramere in lateral view; (6) Gonocoxite and gonostyle. Fig. 7-9. Baeocera proclinata nov.sp., genitalia. (7) Aedeagus in dorsal view; (8) Internal sac in dorsal view; (9) Internal sac in lateral view. Scale-bars = 0.1 mm (1, 7); 0.05 mm (2-5, 8); 0.03 mm (6).
Supplemental Material - Convergence Graphs
<p>Supplemental material to: Olsen NT, Göransson C, Vejlstrup N, Carlsen J. Myocardial adaptation and exercise performance in patients with pulmonary arterial hypertension assessed with patient-specific computer simulations. Am J Physiol Heart Circ Physiol. 2021 Aug 27. doi: 10.1152/ajpheart.00442.2021. Epub ahead of print. PMID: 34448636</p>
Supplement to "Endogenous DHEAS is causally linked with lumbar spine bone mineral density and forearm fractures in women - A mendelian randomization study"
<p>Supplemental tables to "Endogenous DHEAS is causally linked with lumbar spine bone mineral density and forearm fractures in women - A mendelian randomization study" by Johan Quester, Maria Nethander, Anna Eriksson and Claes Ohlsson.</p>
Supplement Data to Manuscript "Allocating small transporters to large jobs"
<p><strong>Data Description</strong></p> <p>In the data file `instances.csv`, we provide the original data that was used for the manuscript `Allocating small transporters to large jobs` by Neil Jami, Neele Leithäuser and Christian Weiß from Fraunhofer ITWM. </p> <ul> <li>SimulationId: Identifier for each configuration (encoded by NumberJobs_NumberResources).</li> <li>InstanceIndex: Running index for each sample of a simulation configuration.</li> <li>NumberJobs: Number of jobs in the simulation configuration.</li> <li>NumberResources: Number of available resources (transporters) in the simulation configuration.</li> <li>JobReturnTimes: Array of return times for the individual jobs in this sample.</li> <li>NumberResourceWithCapacity_1: Number of resources in this sample that have Filling time =1.</li> <li>NumberResourceWithCapacity_2: Number of resources in this sample that have Filling time =2.</li> <li>NumberResourceWithCapacity_3: Number of resources in this sample that have Filling time =3.</li> <li>NumberResourceWithCapacity_4: Number of resources in this sample that have Filling time =4.</li> <li>NumberResourceWithCapacity_5: Number of resources in this sample that have Filling time =5.</li> </ul>
Supplemental material for "Computational study of the dissolution of cellulose into single chains: the role of the solvent and agitation"
<p>Input-scripts and data-files from the Cellulose article "Computational study of the dissolution of cellulose into single chains: the role of the solvent and agitation" by Bering, E., Torstensen, J., Lervik, A., Wijn, A. S.</p> <p># Content</p> <p>The folder "glycamstructures" contains the output from GLYCAM carbohydrate builder with force-field parameters, coordinates and topology of a single chain of cellulose composed of 4 cellobiose units.</p> <p>The folder "intermol" contains the output from the software Intermol were the content of "glycamstructures" is translated into the lingo of LAMMPS.</p> <p>The folder "packmol" contains input files for the software Packmol, which was used for creating coordinate-files for solvated systems of cellulose with water and cellulose with the solvent mixture. (The bash-script clean.sh fixes the formatting of the .xyz-files such that LAMMPS can read it.)</p> <p>The folder "36bundle" contains input files for creating the initial configuration of the bundle with 36 chains in a maze configuration, namely 36bundle.sh reads 1chain.xyz to make the coordinate file 36bundle.xyz. Further, nvt00.in is the initial LAMMPS script for slowly starting up this system with the NVT-ensemble, which reads system information from the LAMMPS-datafile chain.36bundle, cellulose parameters from the LAMMPS-datafile data.cellulose_nohybrid and coordinates from 36bundle.xyz. nvt01.in and nvt02.in continues sequentially, resulting in the configuration stored in the LAMMPS data-file chain.nvt02.</p> <p>The folder "36bundle_mix" continues from 36bundle by first adding the solvent mixture with coordinates from Packmol in the file 36bm.xyz and slowly starting up in the NVT-ensemble with nvt00.in, with force-field parameters in data.cellulose.in, data.water_spce.in, data.naoh.in and data.urea.in, with charges and connectivity of the solvent molecules in the files water_spce.txt, naoh.txt and urea.txt. The LAMMPS script npt00.in continues with the NPT-ensemble, which is continued with npt01.in etc., resulting in the configuration stored in the LAMMPS data-file chain.npt06. These systems can be continued with length- or force-controlled oscillatory stretching/compression with osc_length.in and osc_force.in respectively, which was used to make the configurations stored in the LAMMPS data-files chain.osc_length4 and chain.osc_force4.</p> <p>Similarly, the folder "36bundle_water" continues from 36bundle by first adding the water with coordinates from Packmol in the file 36bw.xyz and slowly starting up in the NVT-ensemble with nvt00.in, with force-field parameters in data.cellulose.in and data.water_spce.in, with charges and connectivity of the water molecules in the file water_spce.txt. Again, these systems can be continued with length- or force-controlled oscillatory stretching/compression with osc_length.in and osc_force.in respectively, which was used to make the configurations stored in the LAMMPS data-files chain.osc_length4 and chain.osc_force4.</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.