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1,773 results for “Supplementary data,”
Supplementary data set for Environmental DNA in lake sediment reveals biogeography of native diversity
<p>Illumina miseq data in geneious format.</p>
Supplementary data: Hazard from Himalyan glacier lake outburst floods
<p>We provide supplementary data to the manuscript by <strong>Veh, G., Korup, O., and Walz A.: "Hazard from Himalayan glacier lake outburst floods".</strong></p> <p>These datasets (file ending .rds) are ready to use within the R software for statistical programming. Please copy all files into one single directory and follow the instructions given in the scripts. You can find the following scripts on the associated Github page: <strong>https://github.com/geveh/GLOFhazard</strong></p> <p>bayes_lm_piecewise_regression_stan.R</p> <p>lm_piecewise_const.stan</p> <p>R_Script_lake_area_vs_max_depth.R</p> <p>R_Script_Hazard_from_GLOFs_PNAS_supp.R</p> <p>HDIofMCMC.R</p> <p>Outputs within the scripts are written to disk, again as R-objects, if not suppressed by the user. Make sure you have at least 100 GB of free disk space.</p> <p> </p>
Figs 16–18 in First description of Benibotarus Kôno, 1932 larva, with supplementary data on B. longicornis (Reiche, 1878) imago (Coleoptera: Lycidae)
Figs 16–18. General view and label of Benibotarus longicornis, adult female: 16–17 — general view; 18 — label; 16 — dorsally; 17 — ventrally. Рис. 16–18. ОбЩий вид и Этикетка Benibotarus longicornis, имаго, самка: 16–17 — обЩий вид; 18 — Этикетка; 16 — сверху; 17 — сниЗу.
Figs 12–15 in First description of Benibotarus Kôno, 1932 larva, with supplementary data on B. longicornis (Reiche, 1878) imago (Coleoptera: Lycidae)
Figs 12–15. General view and aedeagus of Benibotarus longicornis, adult male: 12–13 — general view; 14–15 — aedeagus; 12 — dorsally; 13–14 — ventrally; 15 — laterally. Scale: 0.5 mm. Рис. 12–15. ОбЩий вид и Эдеагус Benibotarus longicornis, имаго, самец: 12–13 — обЩий вид; 14–15 — Эдеагус; 12 — сверху; 13– 14 — сниЗу; 15 — сбоку. МасШтабнаЯ линейка: 0,5 мм.
Fig. 1 in First description of Benibotarus Kôno, 1932 larva, with supplementary data on B. longicornis (Reiche, 1878) imago (Coleoptera: Lycidae)
Fig. 1. General view of Benibotarus longicornis, last (?) instar. Рис. 1. ОбЩий вид Benibotarus longicornis, личинка последнего (?) воЗраста.
FIGURE 12 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 12. Oribatodes reticulatus (Sitnikova, 1979), adult, SEM micrographs (cerotegument partially removed): A— anterodorsal view; B—bothridium, interlamellar and bothridial setae, basal parts of lamella and tutorium, from right lateral view.
FIGURE 11 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 11. Oribatodes reticulatus (Sitnikova, 1979), adult, SEM micrographs (cerotegument partially removed): A—dorsal view; B—ventral view; C—right lateral view; D—notogastral seta lp.
FIGURE 6. Oribatodes mirabilis Banks, 1895 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 6. Oribatodes mirabilis Banks, 1895, adult, SEM micrographs (cerotegument partially removed): A—anterodorsal view; B—humeral process of notogaster, bothridium, interlamellar and bothridial setae, basal parts of lamella, tutorium and pedotectum I, from right lateral view.
FIGURE 5. Oribatodes mirabilis Banks, 1895 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 5. Oribatodes mirabilis Banks, 1895, adult, SEM micrographs (cerotegument partially removed): A—dorsal view; B—ventral view; C—right lateral view; D—notogastral seta h3.
FIGURE 2. Oribatodes mirabilis Banks, 1895 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 2. Oribatodes mirabilis Banks, 1895, tritonymph (some gastronotic setae broken. Scale bar 100 μm.
FIGURE 9 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 9. Oribatodes reticulatus (Sitnikova, 1979), deutonymph (some gastronotic setae broken): A—dorsal view; B— ventral view; C— right lateral view. Scale bar 100 μm.
FIGURE 3. Oribatodes mirabilis Banks, 1895 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 3. Oribatodes mirabilis Banks, 1895, juvenile instars: A—epimeral and anogenital region of deutonymph, ventral view; B—epimeral and anogenital region of tritonymph, ventral view. Scale bar 100 μm.
FIGURE 10 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 10. Oribatodes reticulatus (Sitnikova, 1979), deutonymph: A—leg I, right, antiaxial view; B—leg II (tarsus not shown), right, antiaxial view; C—leg III (tarsus not shown), left, antiaxial view; D—leg IV, left, antiaxial view. Scale bar 50 μm.
FIGURE 8 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 8. Oribatodes reticulatus (Sitnikova, 1979), adult: A—subcapitulum, ventral view; B—palp, right, antiaxial view; C—chelicera, left, paraxial view; D—leg I, right, antiaxial view; E—leg II, right, antiaxial view; F—leg III, left, antiaxial view; G—leg IV, left, antiaxial view. Scale bars 50 μm (D–G), 20 μm (A–C).
FIGURE 1. Oribatodes mirabilis Banks, 1895 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 1. Oribatodes mirabilis Banks, 1895, adult (gnathosoma and legs not shown): A—dorsal view; B—anterior part of prodorsum, anterodorsal view; C—ventral view; D—right lateral view; E—posterior view. Scale bars 100 μm (A, C–E), 50 μm (B).
FIGURE 7 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 7. Oribatodes reticulatus (Sitnikova, 1979), adult (gnathosoma and legs not shown): A—dorsal view; B—anterior part of prodorsum, anterodorsal view; C—ventral view; D—right lateral view; E—posterior view. Scale bars 100 μm (A, C–E), 50 μm (B).
Supplementary video for "Rapid brain tumor classification from sparse epigenomic data"
<p>Although the intraoperative, molecular differential diagnosis of the approximately one hundred different brain tumor entities described to date has been a goal of neuropathology in the last decade, this has not yet been achieved in a clinically relevant time frame of less than one hour after biopsy collection. Recent advances in third-generation sequencing technologies have brought this once-elusive goal within reach. However, established machine learning techniques rely on concepts and methods, impractical for live diagnostic workflows in clinical applications. Here, we present MethyLYZR, a Naïve Bayesian framework enabling fully tractable live classification of cancer epigenomes. MethyLYZR can be run in parallel with an ongoing Nanopore experiment with negligible computational cost and provides clinically relevant and accurate cancer classification results within 15 minutes of sequencing. Therefore, only the time required for DNA extraction and the Nanopore sequencer's maximum parallel throughput remain limiting factors for even faster time-to-results. We demonstrate the potential utility of the MethyLYZR framework not only for the neurosurgical intraoperative use case but also for other oncologic indications and cell-free DNA from liquid biopsies.</p> <div> <div> <div> <p> </p> <p>The video is a composite of 10 clinical demonstrator runs with timings for DNA extraction and library preparation.</p> </div> </div> </div>
Greater lactate accumulation does not alter peripheral concentrations of key appetite-regulating neuropeptides - Supplementary Data
<p>The manuscript "Greater lactate accumulation does not alter peripheral concentrations of key appetite-regulating neuropeptides" has been submitted to the Journal of Applied Physiology and the following data are supplementary data for this manuscript. Upon acceptance this record will be updated with the manuscript and journal information.</p>
Supplementary data for the article: "Towards an widely applicable earthquake detection algorithm for fibreoptic and hybrid fibreoptic-seismometer networks"
<p>Repository of supporting data associated with the article submitted to GJI, titled: "Towards an widely applicable earthquake detection algorithm for fibreoptic and hybrid fibreoptic-seismometer networks".</p> <p> </p> <p>Contents include:</p> <ol> <li>A full working example of modified QuakeMigrate version and seismic time-series data used to detect an earthquake.</li> <li>Earthquake catalogues for the three datasets described in the publication.</li> </ol>
Supplementary data (CC BY-NC-SA 4.0): Germanium Distributions in Zeolites Derived from Neural Network Potentials
<p><strong>Content (Creative Commons Attribution Non Commercial Share Alike 4.0 International):</strong></p> <p>This dataset contains supplementary data related to the Germanosilicate Project titled <br>"Germanium Distributions in Zeolites Derived from Neural Network Potentials". <br>In various subfolders, it hosts database, simulations and post-processing calculations.<br><br>Below is a brief overview of each subfolder:</p> <ol> <li><em>Post_Processing_Calculation:</em> <br>- Contains scripts and data for post-processing calculations such as coordination numbers, <br>- Pair distribution function, and various germanium distribution metrics.<br><br></li> <li><em>NNP_Simulation_DATA:</em> <br>- Stores simulation data for different zeolite structures along with setup files for neural network potentials (NNP) simulations.<br><br></li> <li><em>NNP_files_database</em>: <br>- NNP_files: NNP model files (compatible with <a href="https://github.com/atomistic-machine-learning/schnetpack/tree/schnetpack1.0">SchNetPack version 1.0</a>)<br>- GeSiO_training.db: DFT (PBE+D3(BJ)) training database as SchNetPack1.0 database file readable by <a href="https://wiki.fysik.dtu.dk/ase/index.html">Atomic Simulation Environment (ASE)</a> and SchNetPack version 1.0<br><br><em> </em></li> <li><em>DFT_vs_NNP_Data:</em> <br>- ASE traj files storing structures subsampled from MCBH runs along with energies/forces at the PBE+D3(BJ) ("*_dft.traj") and NNP level (*_nnp.traj)<br><br></li> <li><em>Zeolite_Structurers_ALL</em>: <br>- Holds data for various zeolite structures, including optimized structures for both single-cell and supercell configurations.<br><br></li> <li>GSOs_DATA:<br>- The unoptimised Global Structure Optimas (GSOs) are provided<br>- Optimised GSOs are stored inside folders for both various DFT and NNP methods</li> </ol> <p> <br>Please refer to individual readme files in each subfolder for more detailed information.</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.