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1,855 results for “Framework”
RRI framework for the NextGenProteins - Societal Readiness Thinking Tool datasets
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Unpacking Mobile Gaming: Insights through the COM-B Framework
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Metamodels used in the Text2VQL framework
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Enhancing Streamflow Prediction through Multi-model Ensemble Framework and Machine Learning Techniques
<p>This file contains python code used in this study and data used to plot figures. </p>
A Multi-Objective Optimization Framework for Code Generation Decoding Strategies Based on Code Token Trees
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Supplementary Material: Emergent Orchestras: A Modular Framework for Musical Robot Swarms
<p>Supplementary Material containing the experiments described in the article.</p>
An exploration of an evaluation framework for digital storytelling outcomes in the AI age
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Figure 1 in Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas
Figure 1. Great Lakes basin showing the five sites where aquatic vegetation sampling occurred. Data credits: Lakes: Great Lakes Aquatic Habitat Framework (GLAHF) Great Lakes shoreline v 1.1, 2014. Basin: Institute for Fisheries Research Great Lakes GIS basin outline GLB_basin_outline_noSLS_IFR, 2004. States/Provinces: ArcGIS Content Team U.S. States and Canada Provinces, 2010.
Figure 4 in Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas
Figure 4. The predicted richness surface (from forest classification model) showing, (A) predicted plant richness for each grid (sample unit), (B) the grids sampled with rakes (highlighted), and (C) the cells intersected with boat track during the 2019 Milwaukee survey (highlighted).
Machine Learning-Enabled Software and System Architecture Frameworks
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Dataset of the Article Evaluating a Framework of Conceptual Modelling Research
<p>Excel files with the raw data of the article Evaluating a Framework of Conceptual Modelling Research</p>
Figure 1. – Map showing the 247 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 1. – Map showing the 247 AfriBasins. Rivers based on the HydroSHEDS 15-arc seconds dataset, lakes modified from the RWDB2 River and Surface Water Body Outlines African Water Resources Database. A high resolution version is available online.
Figure 6 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 6 (left). – Scatterplots of the first two axes from the correspondence analyses on the fish distribution data for the Congo Basin s.s. A: All 28 AfriBasins, 970 species; B: 24 AfriBasins, 789 species; C: 8 AfriBasins, 504 species; D: 16 AfriBasins, 573 species; E: 9 AfriBasins, 474 species. Colours correspond to the clusters identified in the cluster analyses (Fig. 5).
Figure 9 in A simple framework for the exploration of functional biodiversity
Figure 9. –Life history strategies of 92 marine fish species present in Arctic waters north of 75° latitude in around the year 2000 compared with the functional biodiversity of 263 species of fishes predicted to be present in the year 2100. Cell-width represents 100 species. The pictogram of an elongated benthic species of medium body size, medium productivity and mid-level predator trophic level represents the endemic saddled eelpout (Lycodes mucosus Richardson, 1855), whereas the pictogram of a benthic shark represents several large toppredator shark species that are predicted to newly arrive in Arctic waters in 2100.
Figure 11 in A simple framework for the exploration of functional biodiversity
Figure 11. – Boxplot of egg diameters (n = 245) of 156 species of ray-finned fishes by climate zone, as compiled in FishBase. Numbers within the boxes indicate the median diameter. The smallest reported diameter for polar/ deep fishes is 1 mm.
Figure 4. – AfriBasin units for the Congo River basin s.s in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 4. – AfriBasin units for the Congo River basin s.s. Rivers based on the HydroSHEDS 15-arc seconds dataset, lakes modified from the RWDB2 River and Surface Water Body Outlines African Water Resources Database (see Jenness et al., 2007a, b).
Figure 7. – Functional biodiversity plot for 31,134 in A simple framework for the exploration of functional biodiversity
Figure 7. – Functional biodiversity plot for 31,134 species of fishes with body weight, productivity and trophic level information in Fish- Base. The colours indicate the trophic groups from herbivore (dark green) to top predator (red) as described in Fig. 4. The width of the bars reflects the number of species in a trophic group, with cell width representing 2,000 species. Larger numbers per group are indicated by a number within pointy brackets. The numbers in the upper-right corners indicate the number of species assigned to a cell and the median evolutionary age (in millions of years) of the Orders the species belong to. The numbers left of the rows and below the columns indicate the sum of the respective species. The blue arrow indicates an evolutionary axis from few large and old species with low or very low productivity to many small and medium-sized recently evolved species with high productivity.
Figure 3 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 3. – Total number and percentage of native and endemic species per family within the Congo Basin s.s. Families ordered by total number of species. "Other" includes the following families, all with no more than three species of which none are endemic: Dasyatidae, Hepsetidae, Protopteridae, Channidae, Mugilidae, Notopteridae, Syngnathidae, Ariidae, Carangidae, Cynoglossidae, Elopidae, Latidae, Megalopidae, Ophichthidae, Pantodontidae, Phractolaemidae, Pristidae and Pristigasteridae.
Figure 2 in A simple framework for the exploration of functional biodiversity
Figure 2. – Scatterplot of trophic level over body weight for 31,134 species of fishes with trophic level and body weight information in FishBase. The grey dots represent trophic levels predicted with Equation 1 whereas the black dots represent trophic levels based on observations. The horizontal lines are artefacts of the method used to assign trophic levels in data-poor situations.
Figure 4 in A simple framework for the exploration of functional biodiversity
Figure 4. – Histogram of observed (lower bars) and predicted (upper bars) trophic levels. Note that the Herbivores group includes detritivores.
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.