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3,673 results for “Temporal”
Figure 1. Map showing 3 in Occurrence and temporal variation in the size-frequency distribution of 2 bloom-forming jellyfishes, Catostylus perezi (L. Agassiz, 1862) and Rhizostoma pulmo (Cuvier, 1800), in the Indus Delta along the coast of Sindh, Pakistan
Figure 1. Map showing 3 sampling sites: Bhanbore, Mirpur Sakro, and Keti Bunder.
Figure 1 in Temporal variation in the reproductive pattern of blood cockle Anadara antiquata from Pakistan (northern Arabian Sea)
Figure 1. Map showing sampling sites (*).
Figure 3 in Temporal changes in some Rajiformes species of cartilaginous fish (Chondrichthyes) from the west coast of İskenderun Bay (northeastern Mediterranean)
Figure 3. The mean seasonal CPUE values of species between 2004 and 2011.
Figure 1 in Temporal changes in some Rajiformes species of cartilaginous fish (Chondrichthyes) from the west coast of İskenderun Bay (northeastern Mediterranean)
Figure 1. Sampling area (trawling stations at 10 and 20 m).
Figure 2 in Spatial and temporal distribution of aquatic insects in the Dicle (Tigris) River Basin, Turkey, with new records
Figure 2. Psychomyia sp. larva: a- head, b- trochantin, c- anal claws.
Figure 1 in Spatial and temporal distribution of aquatic insects in the Dicle (Tigris) River Basin, Turkey, with new records
Figure 1. The locations of the selected sampling sites in the Tigris River Basin.
Figure 2 in Spatial and temporal variations of soft bottom polychaetes of Sinop Peninsula (southern Black Sea) with new records
Figure 2. Dendrogram of the sampling stations (A: autumn, W: winter, Sp: spring, S: summer).
Figure 1 in Spatial and temporal variations of soft bottom polychaetes of Sinop Peninsula (southern Black Sea) with new records
Figure 1. Map of the sampling stations.
Figure 1 in Tintinnina (Ciliophora) and Foraminifera in plankton of hypersaline Lagoon Bardawil (Egypt): spatial and temporal variability
Figure 1. Map of sampling stations in Lagoon Bardawil.
Figure 6 in Temporal variability of the macroinvertebrate community associated with Eichhornia azurea (Swarts) Kunth (Pontederiaceae) in a lake marginal to a tropical river
Figure 6. Box-plots of macroinvertebrates community richness (expressed in log values).
Figure 1 in The partitioning of temporal movement patterns of breeding red-crowned crane (Grus japonensis) induced by temperature
Figure 1. The study area of Zhalong Reserve. Inset shows its location in northeastern China.
Predição do Conceito Enade e Análise Temporal das Características Socioeconômicas dos Cursos de Computação no Brasil
<p>Os arquivos disponibilizados foram utilizados para o TCC do aluno Renan Guensuke Aoki Sakashita, para graduação em Ciência da Computação pela UTFPR-CM.<br><br>O ENADE é uma avaliação aplicada aos concluintes dos cursos de graduação do Brasil, cuja nota é usada como métrica de qualidade do ensino superior. Este trabalho tem como objetivo avaliar o desempenho de técnicas de Aprendizado de Máquina na predição das notas dos cursos de computação, e a influência da distância temporal entre as edições deste exame sobre as características socioeconômicas destes cursos.</p>
Figure 1 in Temporal dynamics of the recruitment of glass eels in two valleys of French Polynesia (Tahiti and Moorea Islands)
Figure 1. – Location of Opunohu's mouth in Moorea Island and Papenoo's mouth in Tahiti Island.
Fig. 1 in South American Sea Lions Otaria flavescens, a good indicator of relative spatial and temporal changes in the distribution and abundance of marine resources?
Fig. 1. Study area showing the location of the rookeries analysed at RÍo Negro Province, Argentina.
Fig. 1 in Temporal variations of larval digenean assemblages parasitizing Heleobia parchappii (Mollusca: Cochliopidae) in two shallow lakes from the Buenos Aires province, Argentina
Fig. 1. Sampling sites in the Buenos Aires province, Argentina.
Fig. 3 in Temporal dynamics of the geographic differentiation of Late Devonian Palmatolepis assemblages in the Prototethys
Fig. 3. Upper view of a Palmatolepis (Manticolepis) element.
Fig. 1 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 1. Geographical location of the Caravaca and Zumaia sections (Spain).
Figure 2 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 2. Emergence trap on Quebrada Prieta.
Dataset from Makino H. and Suhaimi A. Distributed representations of temporally accumulated reward prediction errors in the mouse cortex.
<p>Dataset from the paper:</p> <p>Makino H. and Suhaimi A. Distributed representations of temporally accumulated reward prediction errors in the mouse cortex.</p> <p>Each variable is described in Description.pdf.</p> <p>Analysis code is available at <a href="https://github.com/HiroshiMakinoLaboratory/RPEAccumulation" target="_blank" rel="noopener">https://github.com/HiroshiMakinoLaboratory/RewardPredictionErrorAccumulation</a>.</p>
MetTLM 20NRM01 TU/e Dataset: Dependence of Temporal Frequency and Chromaticity on the Visibility of the Phantom Array Effect
<p>The dataset has the following format: 20 (Participants) by 18 (= 3 Chromaticities × 6 Temporal Frequencies)</p> <p><strong>Chromaticities</strong>: <strong>R</strong>ed (<strong>R</strong>); <strong>G</strong>reen (<strong>G</strong>); Warm <strong>W</strong>hite (<strong>W</strong>)</p> <p><strong>Temporal Frequencies</strong>: <em>F1</em> = <strong>80</strong> Hz; <em>F2</em> = <strong>300</strong> Hz; <em>F3</em> = <strong>600</strong> Hz; <em>F4</em> = <strong>900</strong> Hz; <em>F5</em> = <strong>1200</strong> Hz; <em>F6</em> = <strong>1800</strong> Hz.</p> <table> <tbody> <tr> <td> </td> <td> <p> <strong>R</strong></p> <p><em>F1</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F2</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F3</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F4</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F5</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F6</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F1</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F2</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F3</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F4</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F5</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F6</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F1</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F2</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F3</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F4</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F5</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F6</em></p> </td> </tr> <tr> <td>P01</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P02</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P03</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P04</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>...</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P19</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P20</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> <p>Due to the fractional factorial 3 (colour) × 6 (temporal frequency) mixed design, there are some empty cells. The details are described in Table 2 of the publication.</p> <p>The values in the table represent the visibility thresholds in Modulation Depth (MD). For example, the values of 0.05, 0.1, and 1 means a MD of 5%, 10% and 100% respectively.</p> <p><br><br></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.