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1,855 results for “Framework”
GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
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security framework
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From e-waste to green catalyst: Gold-loaded covalent organic framework catalyzes carboxylation of terminal alkynes
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Models, scripts, simulated data, and results from the article "Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework."
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Jind-Multi: An extended framework to leverage multiple labeled datasets for the automatic annotation of single-cell RNA and ATAC data
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Synthesis of Digital Readiness Dimensions Over Four Frameworks and Four Data Driven Indexes
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Selective adsorption of magnesium using lithium carboxylate-based Covalent Organic Frameworks
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Data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal
<p>This data set contains the data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal. <span>The settings and crop parameters are consist of maize</span><span><span>(</span></span><span><a title="Ran, 2018 #74" href="#_ENREF_44"><span>Ran et al., 2018</span></a></span><span>; </span><span><a title="Shirazi, 2021 #75" href="#_ENREF_48"><span>Shirazi et al., 2021</span></a></span><span>)</span><span></span><span>, flower</span><span><span>(</span></span><span><a title="Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018 #83" href="#_ENREF_45"><span>Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span> and wheat</span><span><span>(</span></span><span><a title="Iqbal, 2014 #76" href="#_ENREF_17"><span>Iqbal et al., 2014</span></a></span><span>; </span><span><a title="Huang, 2022 #79" href="#_ENREF_15"><span>Huang et al., 2022</span></a></span><span>; </span><span><a title="Lyu, 2022 #99" href="#_ENREF_38"><span>Lyu et al., 2022</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span>,</span><span> which used for initializing AquaCrop-OS . </span></p>
Data from: Oviposition preference of cabbage white butterflies in the framework of costs and benefits of interspecific herbivore associations
When deciding where to oviposit, herbivorous insects consider: (i) the plant's value as a food source, (ii) the risks of competing with con- and heterospecific herbivores, and (iii) the risks of parasitism and predation on the host plant. The presence of con- and/or heterospecific competitors would further affect the oviposition preference, because the preceding herbivores induce direct/indirect defences in plants against forthcoming herbivores, and thereby alter oviposition decisions. In previous studies, the abovementioned factors have not been studied in an integrative manner. We performed here a case study of this by assessing the oviposition preferences of a small white butterfly, Pieris rapae, for plants occupied by combinations of conspecific larvae, heterospecific larvae (Plutella xylostella), specialist parasitoids of Pi. rapae (Cotesia glomerata) and generalist predators (ants). We previously reported that the females showed equal preference for Pl. xylostella-infested and uninfested plants. Here, we showed that Pi. rapae females preferred uninfested plants to conspecific-infested ones, and Pl. xylostella-infested plants to Pi. rapae-infested ones. We discuss these oviposition preferences of Pi. rapae females in the framework of costs and benefits of interspecific herbivore associations from the above point of view.
Figure 1 from: Mietchen D, Rasberry L, Morata T, Sadowski JP, Novakovich J, Heilman JM (2021) Developing a scalable framework for partnerships between health agencies and the Wikimedia ecosystem. Research Ideas and Outcomes 7: e68121. https://doi.org/10.3897/rio.7.e68121
Figure 1 Schematic overview of the steps involved in developing a public health agency model for Wikipedia
Data from: Towards a framework for agent-based image analysis of remote-sensing data
Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image data has in many cases led to spatially and thematically improved classification results in comparison to pixel-based approaches. Nevertheless, robust and transferable object-based solutions for automated image analysis capable of analysing sets of images or even large image archives without any human interaction are still rare. A major reason for this lack of robustness and transferability is the high complexity of image contents: Especially in very high resolution (VHR) remote-sensing data with varying imaging conditions or sensor characteristics, the variability of the objects' properties in these varying images is hardly predictable. The work described in this article builds on so-called rule sets. While earlier work has demonstrated that OBIA rule sets bear a high potential of transferability, they need to be adapted manually, or classification results need to be adjusted manually in a post-processing step. In order to automate these adaptation and adjustment procedures, we investigate the coupling, extension and integration of OBIA with the agent-based paradigm, which is exhaustively investigated in software engineering. The aims of such integration are (a) autonomously adapting rule sets and (b) image objects that can adopt and adjust themselves according to different imaging conditions and sensor characteristics. This article focuses on self-adapting image objects and therefore introduces a framework for agent-based image analysis (ABIA).
Data from: A modular framework characterizes micro- and macroevolution of Old World monkey dentitions
The study of modularity can provide a foundation for integrating development into studies of phenotypic evolution. The dentition is an ideal phenotype for this as it is developmentally relatively simple, adaptively highly significant, and evolutionarily tractable through the fossil record. Here, we use phenotypic variation in the dentition to test a hypothesis about genetic modularity. Quantitative genetic analysis of size variation in the baboon dentition indicates a genetic modular framework corresponding to tooth type categories. We analyzed covariation within the dentitions of six species of Old World monkeys (OWMs) to assess the macroevolutionary extent of this framework: first by estimating variance–covariance matrices of linear tooth size, and second by performing a geometric morphometric (GM) analysis of tooth row shape. For both size and shape, we observe across OWMs a framework of anterior and postcanine modules, as well as submodularity between the molars and premolars. Our results of modularity by tooth type suggest that adult variation in the OWM dentition is influenced by early developmental processes such as odontogenesis and jaw patterning. This study presents a comparison of genotypic modules to phenotypic modules, which can be used to better understand their action across evolutionary time scales.
Data from: Delimiting species of marine gastropods (Turridae, Conoidea) using RAD-sequencing in an integrative taxonomy framework
Species delimitation in poorly-known and diverse taxa is usually performed based on monolocus, DNA barcoding-like approaches, while multilocus data are often used to test alternative species hypotheses in well-studied groups. We combined both approaches to delimit species in the Xenuroturris / Iotyrris complex, a group of venomous marine gastropods from the Indo-Pacific. First, COI sequences were analyzed using three methods of species delimitation, ABGD, PTP and GMYC to propose primary species hypotheses (PSH). Second, RAD-seq data were also obtained and an IQ-tree phylogenetic tree produced. We tested the impact of the level of missing data on the robustness of the phylogenetic tree obtained with the RAD-seq data. Alternative species partitions revealed with the COI dataset were also tested using the RAD-seq data and the BFD method. The congruence between the species hypotheses proposed with the mitochondrial gene and the clades in the RAD-seq tree, together with the morphological variability of the shell and the radula and the distribution pattern, was used to turn the PSH into secondary species hypotheses (SSH). Allopatric PSH defined with the COI gene were interpreted to correspond to intraspecific structure. Most of the species are found sympatrically in the Philippines, and only one is confidently identified as a new species and described as Iotyrris conotaxis n. sp. The results obtained demonstrate the efficiency of the combined monolocus/multilocus approach to delimit species.
Track-to-Learn: A general framework for tractography with deep reinforcement learning
<p>Datasets used in the experiments presented in Track-to-Learn: A general framework for tractography using deep reinforcement learning</p> <p>See https://github.com/scil-vital/TrackToLearn to use the datasets and recreate the experiments.</p>
Near Isotropic D4d Spin Qubits as Nodes of a Gd(III)-Based Metal–Organic Framework
<p>Data supporting the original figures 2,3,4 of the related publication.</p>
Supplementary material 1 from: Blaalid R, Magnussen K, Westberg NB, Navrud S (2021) A benefit-cost analysis framework for prioritization of control programs for well-established invasive alien species. NeoBiota 68: 31-52. https://doi.org/10.3897/neobiota.68.62122
Table S1
FIGURE 24 in Diverse new scale insects (Hemiptera: Coccoidea) in amber from the Cretaceous and Eocene with a phylogenetic framework for fossil Coccoidea
FIGURE 24. Strict consensus of the 32 most parsimonious trees retrieved from TNT using 112 taxa (fossil + Recent) and 174 morphological characters. The tree is divided into three parts, A (opposite page), B (above), and C (next page). Fossil taxa are represented in bold. Unambiguous characters were mapped as dots on branches with, black dots = unique change, white dots = multiple changes. Branch supports are indicated above branches for Bremer and below branches for jackknife supports (below)>20 (P = 36).
FIGURE 9 in Diverse new scale insects (Hemiptera: Coccoidea) in amber from the Cretaceous and Eocene with a phylogenetic framework for fossil Coccoidea
FIGURE 9. Photomicrographs of the new species of Apticoccus. (A) Dorsal surface of Apticoccus fortis, n. sp., holotype HAM-1669A. (B) Dorsal and (C) ventral surfaces of Apticoccus longitenuis, n. sp., holotype AD-20.
FIGURE 4 in Diverse new scale insects (Hemiptera: Coccoidea) in amber from the Cretaceous and Eocene with a phylogenetic framework for fossil Coccoidea
FIGURE 4. Details of Kozarius achronus, n. sp. (A) Ventral view of head. (B) Dorsal view of head. (C) Dorsal view of mesothorax. (D) Basisternum. (E) Apical antennal segments. (F) Leg from tibia. (G) Dorsal view of posterior abdominal segments and penial sheath, with wax filaments.
FIGURE 7 in Diverse new scale insects (Hemiptera: Coccoidea) in amber from the Cretaceous and Eocene with a phylogenetic framework for fossil Coccoidea
FIGURE 7. Details of Hodgsonicoccus patefactus, n. sp. (A) Head from right lateral view. (B) Antenna. (C) Tarsus and claw. (D) Fore wing. (E) Hamulohaltere. (F) Left lateral view of penial sheath.
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.