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831 results for “Partition”
Fig. 12. Austrochaperina derongo, MCZ A132824, SVL 41.9 in Partition Of The Australopapuan Microhylid Frog Genus Sphenophryne With Descriptions Of New Species
Fig. 12. Austrochaperina derongo, MCZ A132824, SVL 41.9 mm, photo by Fred Parker.
Fig. 6 in Partition Of The Australopapuan Microhylid Frog Genus Sphenophryne With Descriptions Of New Species
Fig. 6. Paratype of Austrochaperina archboldi, AMNH A66723, SVL 38.4 mm.
Fig. 13 in Partition Of The Australopapuan Microhylid Frog Genus Sphenophryne With Descriptions Of New Species
Fig. 13. Distribution of Austrochaperina derongo.
Fig. 11. Austrochaperina brevipes, AMNH A130535, SVL 23.9 in Partition Of The Australopapuan Microhylid Frog Genus Sphenophryne With Descriptions Of New Species
Fig. 11. Austrochaperina brevipes, AMNH A130535, SVL 23.9 mm male and associated eggs.
Fig. 1 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.
Fig. 1. Beach profile showing the burrow zones of Ocypode gaudichaudii at Culebra Beach.
Experimental data from the PhD thesis "Counterexample-guided Cartesian Abstraction Refinement and Saturated Cost Partitioning for Optimal Classical Planning"
<p>The three data sets contain the raw experiment data, parsed values and basic reports for the three parts of the thesis. For each experiment there are two directories. The first directory contains the raw data of all experiment runs. The code directories and benchmark files have been removed to avoid duplication and save space. The second directory (*-eval) contains "properties" file with all parsed values and an HTML report.</p>
Partitioning Seed Dispersal Rate Amongst Vertebrates Vs Invertebrates Along a Land-Use Gradient
<b>Description: </b><p>Seed perdation and dispersal experiments</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/72"><b>Partitioning Seed Dispersal Rate Amongst Vertebrates Vs Invertebrates Along a Land-Use Gradient</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=77">here</a></p><p><b>Data worksheets: </b>There are 1 data worksheets in this dataset:</p><ol><li><p><b>Seed removal experiments</b> (Worksheet Data)</p><p>Dimensions: 904 rows by 13 columns</p><p>Description: Experimental seed removal trials. Each trial consisted of 20 pumpkin seeds being placed on a plate, with seed fates ascertained the following day.</p><p>Fields: </p><ul><li><b>Location</b>: SAFE project sample site (Field type: Location)</li><li><b>Point </b>: SAFE project sample site (Field type: ID)</li><li><b>Date</b>: Date seeds were placed in field (Field type: Date)</li><li><b>Treatment</b>: Experimental treatment (Field type: Categorical)</li><li><b>NPlacement</b>: Unknown variable (Field type: ID)</li><li><b>RemainUneat</b>: How many seeds remained on the plate and had no evidence of having been eaten? (Field type: Numeric)</li><li><b>RemovUneat</b>: How many seeds were removed from the plate and had no evidence of having been eaten? (Field type: Numeric)</li><li><b>RemainEat</b>: How many seeds remained on the plate but had evidence of having been eaten? (Field type: Numeric)</li><li><b>RemovEat</b>: How many seeds were removed from the plate and also had evidence of being eaten? (Field type: Numeric)</li><li><b>RemovUnknown</b>: How many seeds were removed from the plate and had an unknown fate? (Field type: Numeric)</li><li><b>Rain</b>: How heavily did it rain last night? 0 being no rain and 5 being torrential rain (Field type: Numeric)</li><li><b>TreatmentSuccessFail</b>: Was the treatment successful? (Field type: Categorical)</li></ul><br></li></ol><p><b>Date range: </b>2013-05-07 to 2013-07-27</p><p><b>Latitudinal extent: </b>4.6350 to 4.7523</p><p><b>Longitudinal extent: </b>116.9632 to 117.5934</p>
Simulated datasets analysed in Rota et al. study "A simple method for data partitioning based on relative evolutionary rates"
<p>Simulated datasets analysed in Rota et al. study "A simple method for data partitioning based on relative evolutionary rates". AS refers to datasets simulated on an asymmetrical trees and SS to those simulated on a symmetrical tree. The datasets are in phylip format. Having 'miss' in the name of a file refers to missing 25% of the data.</p>
Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioning of Arctic mixed-phase clouds with NCAR CAM5
<p>The model simulation outputs for the paper "Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioningof Arctic mixed-phase clouds with NCAR CAM5".</p>
Picophytoplankton lineages display clear niche partitioning but overall positive response to future ocean warming
<p>This repository contains data used in the Flombaum et al. (2019) Nature Geoscience paper entitled "<strong>Picophytoplankton lineages display clear niche partitioning but overall positive response to future ocean warming" </strong>for sensitivity tests.</p> <p>npp_91x180.mat is a 2D net primary production data from satellite ( SeaWiFS).</p> <p><a href="https://zenodo.org/api/files/ea47715e-18fe-42d4-8d36-848824829b53/omega2_ad1e-05_ai1000.mat">omega2_ad1e-05_ai1000.mat</a> contains advection and diffusion transport operator.</p> <p><a href="https://zenodo.org/api/files/ea47715e-18fe-42d4-8d36-848824829b53/po4obs_91x180x24.mat">po4obs_91x180x24.mat</a> is 3D dissolved inorganic phosphorus concentrations obtained from WOA2013 and interpolated into the inverse model gird (91x180x24);</p> <p><a href="https://zenodo.org/api/files/ea47715e-18fe-42d4-8d36-848824829b53/xhat_91x180_control.mat">xhat_91x180_control.mat</a> is optimal phosphorus model parameters; It has four parameters: <em>b - </em><em>Marine curve exponent; kappa_d - dissolved organic phosphorus remineralization rate constant; alpha and beta: parameters used to scale satellite NPP to model organic phosphorus production.</em></p>
Figure 1 in Microhabitat partitioning of closely related Sarawak (Malaysian Borneo) frog species previously assigned to the genus Hylarana (Amphibia: Anura)
Figure 1. Bayesian inference of 16S mtDNA Sarawak frogs (* represents 95% BPP).
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.
Isotopes complement morphology: Niche partitioning among greenbuls in the Afrotropical lowland forest
<p><a name="_Hlk153960869"></a>Biodiversity plays a vital role in ecosystem functioning, so understanding how species coexist is a cornerstone of ecology. However, despite decades of research, our current knowledge is incomplete due to methodological limitations and sampling bias, particularly in the species-rich tropics. In this study, we combined bill and body morphological traits with stable isotopes in feathers to quantify niche differentiation among six co-occurring greenbul taxa, a diverse group of frugivorous and insectivorous passerines with remarkable similarities in body shape, in the lowland rainforests of Mt. Cameroon, West Central Africa. Our results showed that the greenbul’s niche space was primarily differentiated by variations in body morphology, with Yellow-lored Bristlebill <em>Bleda notatus</em> and Eastern Bearded Greenbul <em>Criniger chloronotus</em> occupying ecological niches distinct from the remaining four taxa, while bill morphology indicated substantial overlap between the taxa. In addition, isotopic composition of the feathers revealed a separation of Western Greenbul <em>Arizelocichla tephrolaema</em> from the other taxa. Our results show that the integration of morphological and isotopic data can provide robust estimates of niche overlaps, providing evidence for the differentiation of ecological roles. This highlights the importance of integrating variable traits to improve our understanding of how animals exploit the multidimensional niche space that enables their coexistence.</p>
Fig. 3 in Spatial partitioning between juveniles and adults of the freshwater anomuran crab Aegla parana (Crustacea Aeglidae) from southern Brazil
Fig. 3. Totó River, partial view. The river bed is dominated by pebble carpet.
Fig. 2 in Spatial partitioning between juveniles and adults of the freshwater anomuran crab Aegla parana (Crustacea Aeglidae) from southern Brazil
Fig. 2. Negro River, partial view. It was a navigation route in the previous centuries.
Figure 2 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 2. Emergence trap on Quebrada Prieta.
Strain partitioning, interseismic coupling, and shallow creep along the Ganzi-Yushu fault from Sentinel-1 InSAR data
<p>The dataset includes the InSAR velocity data and fault coupling model in the article "Strain partitioning, interseismic coupling, and shallow creep along the Ganzi-Yushu fault from Sentinel-1 InSAR data" (<a href="https://doi.org/10.1029/2024GL111469">https://doi.org/10.1029/2024GL111469</a>). The "insardata.zip" file includes original data of 5 tracks export from MintPy software, and the detailed format of the data can be found in the instruction provided by the MintPy software (<a href="https://github.com/insarlab/MintPy">GitHub - insarlab/MintPy: Miami InSAR time-series software in Python</a>). The "couplingmodel.gmt" is the fault coupling distribution along the Ganzi-Yushu fault, formatted for utilization in GMT software (<a href="https://github.com/GenericMappingTools/gmt">GitHub - GenericMappingTools/gmt: The Generic Mapping Tools</a>).</p>
Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS
<p>InSAR Line-of-Sight (LOS) velocities and their associated uncertainties in the southeastern Tibetan Plateau, along with the strain rate fields.</p> <p><br>Citations:</p> <p><br>Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS. Geophysical Research Letters.</p> <p><br>Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13731812</p>
Partitioning species contributions to ecological stability - Data and Code
<p>This repository contains all R code and data used for the manuscript entitled "Partitioning species contributions to ecological stability in disturbed communities".</p> <p>Authors: Charlotte Kunze, Dominik Bahlburg, Pablo Urrutia-Cordero, Maren Striebel, Egle Kelpsiene, Silke Langenheder, Ian Donohue & Helmut Hillebrand</p>
Data from: Sympatric wren-warblers partition acoustic signal space and song perch height
Animals employing acoustic signals, such as birds, must effectively communicate over both background noise and potentially attenuating objects in the environment. To surmount these obstacles, animals evolve species-specific acoustic signals that do not overlap with sources of interference (such as songs of close relatives), and issue these songs from locations that maximize transmission. In multispecies assemblages of birds, the acoustic resource may thus be interspecifically partitioned along multiple axes, including song perch height and signal space. However, very few such studies have focused on open habitats, where differences in sound transmission patterns and limited availability of song perches may drive competition across multiple axes within signal space. Here, we demonstrate acoustic signal space partitioning in four sympatric species of wren-warbler (Cisticolidae, Prinia), in an Indian dry deciduous scrub-grassland habitat. We found that the breeding songs of the four species partition acoustic signal space, resulting in interspecific community organization. Within each species' signal space, we uncovered different intraspecific patterns in note diversity. Two species partitioned intraspecific signal space into multiple note types, whereas the other two varied note repetition rate to different extents. Finally, we found that the four species also partition song perch heights, thus exhibiting acoustic niche separation along multiple axes. We hypothesize that divergent song perch heights may be driven by competition for higher singing perches or other ecological factors rather than signal propagation. Acoustic signal partitioning along multiple axes may therefore arise from a combination of diverse ecological processes.
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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.