Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
38
datasets available to search
ShareScore release 0.9.0
Dataset results
38 results for “spatial segregation”
Spatial segregation between wild ungulates and livestock outside protected areas in the lowlands of Nepal
<p>Understanding how wildlife interacts with human activities across non-protected areas are critical for conservation. This is especially true for ungulates that inhabit human-dominated landscapes outside the protected area system in Nepal, where wildlife often coexist with livestock. Here we investigated how elevation, agricultural land, distance from roads, and the relative abundance of livestock influenced wild ungulate (chital (<i>Axis axis</i>), nilgai, barking deer (<i>Muntiacus muntjak</i>), wild boar (<i>Sus scrofa</i>) and sambar (<i>Rusa unicolor</i>)) abundance and occurrence. We counted all individuals of wild ungulates and livestock along 35 transects conducted between November 2017 and March 2018 in Bara and Rautahat forests in the lowlands of Nepal. We assessed abundance and occurrence relation to covariates using Generalized Linear Models. We found that livestock outnumbered wild ungulates 6 to 1. Wild boar was the most abundant wild ungulate, followed by nilgai, chital, barking deer and sambar. We found that elevation and livestock abundance were the most important covariates affecting the overall abundance of wild ungulates and the distribution of each individual ungulate species. Our results suggest spatial segregation between wild ungulates, which occur mainly on highlands, and livestock that concentrate across lowland habitats. Our results provide critical information to improve conservation in community forest areas of Nepal, where wildlife interacts with people and their livestock. Finding better strategies to allow the coexistence of ungulates with people and their livestock is imperative if they are to persist into the future.</p>
Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist
<p>The code for the numerical analysis and parametric walks for both the single strain and specialization model for the paper "Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist "</p> <p>Programs Need: Python, Jyupter notebooks and WinZip (to unzip the package).</p> <p>The Data files: The Data files are in .OUT meaning they can be overwritten if the code is run again, so if one wishes to examine the outputs, copy them into another folder or create a second copy of this folder to investigae</p> <p> </p> <p>Numerical Analysis</p> <p>The numerical analysis was conducted using the ode() function and ’lsoda’ method in Scientific Python (vers. 0.19.0). The ’lsoda’ method was used because both the single-strain model and specialization model are numerically ’stiff’. Parameters for ’lsoda’ were set to their default values, except for runs that characterized all outcomes of the model (both coexistence and exclusion); here, numerical tolerance parameters atol and was lowered to 10−9. The default tolerance values (which are both equal to 10−5) were used for runs that specifically sought coexistence of PSK+ and PSK- plasmids. These larger tolerances may miss some points of coexistence, but allow for faster numerical simulation, which was necessary given that a large number of parameter sets needed to be studied to find points of coexistence. In all cases numerical solutions were checked that they successfully completed the full time interval, which in our case was 109 time steps. Numerical analysis also used the numpy library (vers. 1.12.1) and the Python environment was vers. 3.6.1. Python scripts of the numerical systems are provided as further Supplementary Materials, as well as Juypter Notebooks that allow for the examination of single parameter sets.</p> <p> </p> <p>Parameteric Walks </p> <p>To assess whether points of coexistence of PSK- and PSK+ are mutationally connected, we took one point of coexistence for each of the single-strain and specialization models and subjected them to a parameter walk. A parameter walk consist of starting at a point of coexistence and running the simulations again with parameters randomly perturbed from their initial value. In particular, the parameter walk was either unbiased or biased. For an unbiased walk, a parameter was perturbed uniformly to up to 10% above or 10% below its current value. For a biased walk, a parameter was uniformly perturbed 1% above and 10% below, or 10% above and 1% below its current value. If a random perturbation of parameter resulted in a new coexistence point, that set of parameters was taken as the current set and perturbed again.</p>
Data from: Ecological segregation in a small mammal hybrid zone: habitat-specific mating opportunities and selection against hybrids restrict gene flow on a fine spatial scale
Open the record for dataset details and reuse information.
Data from: Spatial segregation and habitat partitioning of bobcat and Canada lynx
Open the record for dataset details and reuse information.
Data from: Measuring site fidelity and spatial segregation within animal societies
Open the record for dataset details and reuse information.
Spatial segregation between wild ungulates and livestock outside protected areas in the lowlands of Nepal
Open the record for dataset details and reuse information.
Data from: The spatial segregation patterns of sharks from Western Australia
The extent to which sharks segregate by size and sex determines the population structure and the scale at which populations should be managed. We summarized 20 years of fisheries-dependent and independent sampling to define the spatial patterns of size and sexual segregation for sharks in Western Australia. Carcharhinus obscurus and C. plumbeus showed a large-scale (more than 1000 km) latitudinal gradient in size. Large individuals occurred predominantly in the northwest and north whereas smaller individuals occurred predominantly in the southwest and south. Mustelus antarcticus and Furgaleus macki showed strong sexual segregation at very large scales. Females occurred predominantly in the west and southwest whereas the proportion of males in catches substantially increased in the southeast. The populations of other shark species did not show sex and size segregation patterns at very large scales; most species, however, showed varying degrees of segregation when data were analysed at a smaller scale. These findings highlight the importance of matching the scale of observation to the scale of the phenomenon observed. As many shark species are highly mobile, if sampling is opportunistic and constrained both temporally and spatially, the observed segregation patterns may not be representative of those at the population level, leading to inaccurate scientific advice.
Figure 3 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 3 Time overlap analysis of activity patterns between jaguar (Panthera onca) and puma (Puma concolor) in El Cielo Biosphere Reserve. Time overlap is shown by the shaded area. The solid line represents the activity pattern of jaguars and dashed line shows the activity pattern of pumas (∆4 = 0.77 is the result of the overlapping coefficient between jaguar and puma activity).
Figure 1 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 1 Geographical location of the El Cielo Biosphere Reserve in northeastern Mexico, with habitats and camera trap station locations.
Figure 4 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 4 Habitat selection by jaguars and pumas based on the Index of selectivity (Ei) in El Cielo Biosphere Reserve, Tamaulipas, Mexico. (DF) Deciduous forest, (SDF) semi-deciduous forest, (OF) oak forest, (OPF) oak-pine forest, (MCF) mountain cloud forest.
Figure 2 from: Contreras-Díaz CA, Soria-Díaz L, Gómez-Ortiz Y, Carrera-Treviño R, Astudillo-Sánchez CC, Chacón-Hernández JC, Martínez-García LF (2021) Temporal and spatial segregation of top predators (Felidae) in a Mexican tropical Biosphere Reserve. Zoologia 38: 1-10. https://doi.org/10.3897/zoologia.38.e63231
Figure 2 Circular histograms of activity patterns for jaguar (Panthera onca) and puma (Puma concolor) in El Cielo Biosphere Reserve, Tamaulipas, Mexico. Each bar is a discrete 1-hour time interval and is centered on the hour. The dependent variable (inner circles) is number of times jaguars or pumas appeared in photographs at each time interval.
Data from: The spatial segregation patterns of sharks from Western Australia
Open the record for dataset details and reuse information.
Functional and spatial segregation of embryo-larval and adult globin genes in Danio rerio major globin gene locus shows possible way of generation of structural-functional genomic domains in eukaryoti
GEO Series GSE86548. Danio rerio. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Spatial segregation of BMP/Smad signaling affects osteoblast differentiation in C2C12 cells
GEO Series GSE29373. Mus musculus. 8 samples. Type: Expression profiling by array.
Is there a species swarm paradox? Spatial segregation of related species in the understory of a tropical plant community
<p>In tropical forests, some highly diverse angiosperm families occur in aggregates of related species that constitute a species swarm. This spatial aggregation seems paradoxical since related species should segregate in space due to expected ecological similarities. We found that Rubiaceae species segregate from each other. The swarm is not paradoxical because species occupy different microhabitats in the forest understory. (Published in Journal Vegetation Science; Funded by Fundação de Amparo à Pesquisa e Inovação do Espírito Santo, FAPES).</p> <p>If you have any query, write to: karinnasantos0@gmail.com</p>
Data from: Mutualistic mimicry enhances species diversification through spatial segregation and extension of the ecological niche space
Open the record for dataset details and reuse information.
Murine models of IDH-wild-type glioblastoma exhibit spatial segregation of tumor initiation and manifestation during evolution
GEO Series GSE152071. Mus musculus. 40 samples. Type: Expression profiling by array.
Intervals of unmethylated DNA spatially co-segregate in cis and in trans [WGBS]
GEO Series GSE107024. Homo sapiens. 1 samples. Type: Methylation profiling by high throughput sequencing.
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.