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1,855 results for “Framework”
Implementing YewPar: a Framework for Parallel Tree Search [Dataset]
<p>Dataset and scripts for "Implementing YewPar: a Framework for Parallel Tree Search"</p>
[SANER2020] Dataset of game engines and frameworks
<p>Dataset for the paper X</p>
Extending High-Order Flux Operators on Spherical Icosahedral Grids and Their Applications in the Framework of a Shallow Water Model.
<p>This entry contains data output for supporting this paper. The original dataset was uploaded at:</p> <p><a href="https://share.weiyun.com/a741e41ff503e51f27da55c531f76f70">https://share.weiyun. com/a741e41ff503e51f27da55c531f76f70</a></p> <p>Because the original server no longer allows exceeded-quota storage,</p> <p>only the SWM-wave-dynamics component of the SWE model output has been transported to this site:</p> <p>swm-tc2: zonal flow</p> <p>swm-tc5: mountain-Rossby-wave</p> <p>swm-tc6: Rossby-Haurwitz wave</p> <p>These data are useful for regression and origin.</p> <p>see also <a href="https://zenodo.org/record/2549185">https://zenodo.org/record/2549185</a> for a companion work.</p> <p>References:</p> <p>Zhang, Y., 2018: Extending High-Order Flux Operators on Spherical Icosahedral Grids and Their Applications in the Framework of a Shallow Water Model. <em>Journal of Advances in Modeling Earth Systems</em>, <strong>10,</strong> 145-164.</p>
Fig. 1 in Integrating selection, niche, and diversification into a hierarchical conceptual framework
Fig. 1 Environmental space with niche breadth and value for each species and organism. Two types of species and organisms in terms of niche breadth: specialist or generalist. Note that each specialist species occupy a certain niche value, and their organisms occupy the same niche value. E space means environmental space
Fig. 3 in A phylogeographic framework for the conservation of Saharan and Arabian Dorcas gazelles (Artiodactyla: Bovidae)
Fig. 3 Statistical parsimony network based on (a) a 412 bp fragment (73 sequences) and (b) the complete cytochrome b gene (57 sequences). Each circle represents a different haplotype, whereby circle size is proportional to the number of individuals in our data set
Fig. 2 in A phylogeographic framework for the conservation of Saharan and Arabian Dorcas gazelles (Artiodactyla: Bovidae)
Fig. 2 Phylogeny based on the complete cytochrome b gene, Bayesian analyses of 83 sequences under the GTR + Γ + I parameters. Posterior probability values larger than 0.9 are reported. Dorcas gazelles are gray shaded except for one presumed G. dorcas sample
FIGURE 1 in Why Biogeographical Hypotheses Need A Well Supported Phylogenetic Framework: A Conceptual Evaluation
FIGURE 1: Relationship between species and species names in classifications. H‑K correspond to existing biological species (I, J, and K to subspecies in C); M‑P correspond to species names in biological classifications. A. Nominal species M corresponds to a monophyletic group of species. B. Nominal species M corresponds to a paraphyletic group of species. C. Nominal species N corresponds to a paraphyletic group of subspecies. D. All species names correspond to real species.
FIGURE 3 in Why Biogeographical Hypotheses Need A Well Supported Phylogenetic Framework: A Conceptual Evaluation
FIGURE 3: Areas A and B have the same number of species (10 species each). A. Distribution of species 16‑25 in area A. B. Distribution of species 2‑4, 8‑10 and 12‑15 in area B. C. Phylogenetic relationships including the taxa distributed in areas A and B showing that area B has a larger number of distantly related monophyletic groups than A.
FIGURE 2 in Why Biogeographical Hypotheses Need A Well Supported Phylogenetic Framework: A Conceptual Evaluation
FIGURE 2: The concept of the cactophilous "Drosophila serido" before and after the proper understanding of the phylogenetic relationships "below the species level". A. Distribution of D. serido and of its "sister species", D. borborema. B. Distribution patterns after the discovery of the species previously included as groups of D. serido and their relationships with D. borborema. C. Phylogenetic relationships in the group.
ML_AB datasets - Hydorated covalent organic framework
<p>RPBE+D3 datasets for hydrated COFs in the VASP ML_AB format. It includes reference structures, energy, forces, and the stress tensor.</p> <table> <tbody> <tr> <td>File name</td> <td>COF</td> <td>side chain length</td> <td>water uptake</td> </tr> <tr> <td>ML_AB_S3_0_1</td> <td>COF-S3</td> <td>0</td> <td>1</td> </tr> <tr> <td>ML_AB_S3_0_2</td> <td>COF-S3</td> <td>0</td> <td>2</td> </tr> <tr> <td>ML_AB_S3_0_4</td> <td>COF-S3</td> <td>0</td> <td>4</td> </tr> <tr> <td>ML_AB_S3_1_1</td> <td>COF-S3</td> <td>1</td> <td>1</td> </tr> <tr> <td>ML_AB_S3_1_2</td> <td>COF-S3</td> <td>1</td> <td>2</td> </tr> <tr> <td>ML_AB_S3_2_1</td> <td>COF-S3</td> <td>2</td> <td>1</td> </tr> <tr> <td>ML_AB_S3_2_2</td> <td>COF-S3</td> <td>2</td> <td>2</td> </tr> <tr> <td>ML_AB_S3_3_2</td> <td>COF-S3</td> <td>3</td> <td>2</td> </tr> <tr> <td>ML_AB_S6_0_05</td> <td>COF-S6</td> <td>0</td> <td>0.5</td> </tr> <tr> <td>ML_AB_S6_0_1</td> <td>COF-S6</td> <td>0</td> <td>1</td> </tr> <tr> <td>ML_AB_S6_0_2</td> <td>COF-S6</td> <td>0</td> <td>2</td> </tr> <tr> <td>ML_AB_S6_1_05</td> <td>COF-S6</td> <td>1</td> <td>0.5</td> </tr> <tr> <td>ML_AB_S6_1_1</td> <td>COF-S6</td> <td>1</td> <td>1</td> </tr> <tr> <td>ML_AB_S6_1_2</td> <td>COF-S6</td> <td>1</td> <td>2</td> </tr> <tr> <td>ML_AB_S6_2_1</td> <td>COF-S6</td> <td>2</td> <td>1</td> </tr> <tr> <td>ML_AB_S6_3_1</td> <td>COF-S6</td> <td>3</td> <td>1</td> </tr> </tbody> </table> <p> </p>
Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework
Open the record for dataset details and reuse information.
Theoretical Framework for Measuring Cloud Effective Supersaturation Fluctuations using an Advanced Optical System
Open the record for dataset details and reuse information.
Accelerating Discovery of Mechanically Stable Metal−Organic Frameworks for Vinylidene Fluoride Storage by Active Learning
<p><span>Supplementary data including dataset and python scripts for "<strong>Accelerating Discovery of Mechanically Stable </strong></span><strong><span>Metal−Organic Frameworks </span></strong><span><strong>for Vinylidene Fluoride Storage by Active Learning</strong>"</span></p>
Dataset of the Article Evaluating a Framework of Conceptual Modelling Research
<p>Results and replication package of the article: <span>Evaluating a Framework of Conceptual Modelling Research</span></p>
Seal framework resource
<p>Seal is a framework for training sequence-based deep learning models that predict variant effect on gene expression in specific biological contexts with limited data. This record contains the following resource files that are needed for running Seal framework code: hg19 genome FASTA files, gene annotation files, expression matrix files, pre-trained CNN model for chromatin profile prediction, pre-computed chromatin profiles of TSS-proximal regions.</p>
AHP-Based Supplier Selection Framework for Recycled Polypropylene Resin in Sustainable Manufacturing
Open the record for dataset details and reuse information.
FIGURE 6 in A phylogenetic framework for the Hylocereeae (Cactaceae) and implications for the circumscription of the genera
FIGURE 6. Inversion in the matK gene. A) Four independent substitutions will be assumed if the inversion is overlooked in the alignment. B) The inverted motif corresponds to the terminal loop of a hairpin and can easily switch from one state to another. If aligned in different columns, two independent substitution events will be assumed. C) The inverted motif reverse-complemented prior to phylogenetic analysis represents the most accurate homology assessment. D) The motif re-inverted prior to phylogenetic analysis. E) Only one amino acid is substituted by the inversion.
FIGURE 7. Kimnachia ramulosa f in A phylogenetic framework for the Hylocereeae (Cactaceae) and implications for the circumscription of the genera
FIGURE 7. Kimnachia ramulosa f. ramulosa (left) and f. angustissima (right) (photo by W. Barthlott, Lotus-Salvinia.de). The specimen of f. angustissima pictured here originates from the collections of Marnier-Lapostolle at Lés Cedrés, and was very likely a clonotype from the plant Weber had described as Rhipsalis angustissima. A specimen is preserved at the Herbarium Berolinense (B-810013745, in spirit).
FIGURE 2A in A phylogenetic framework for the Hylocereeae (Cactaceae) and implications for the circumscription of the genera
FIGURE 2A. Majority-rule consensus tree from Bayesian inference. Values above branches are Posterior Probabilities (left) and Bootstrap support values from Maximum Likelihood (10.000 replicates) calculated with RAxML GUI using the "ML + thorough bootstrap" option, values below branches are Jackknife support values (10.000) calculated in PAUP. (-- denotes ML BS support below 50, n.f.: node not found). Taxon names in the cladogram reflect hitherto accepted names (Bauer 2003a, Hunt 2006), with the exception of new names in Disocactus published by Cruz et al. (2016). The new/updated generic concepts presented here are annotated with brackets.
FIGURE 5. Deamia. A in A phylogenetic framework for the Hylocereeae (Cactaceae) and implications for the circumscription of the genera
FIGURE 5. Deamia. A) D. chontalensis in habitat (M. Yañez 04); B) D. chontalensis, stem (M. Yañez 05); C) D. testudo, flower (M. Yañez 02) (photos by S. Arias).
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.