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2,399 results for “fragmenter”
Data from: Thermal habitat fragmentation in stratified lakes induces resource waves that brook charr track across seasons
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Data from: Vrba was right: Historical climatic fragmentation, and not current climate, explains mammal biogeography
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Data from: Macroinvertebrate community responses to disturbance in a fragmented river with contrasting legacies of alteration
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Drying and fragmentation drive the dynamics of resources, consumers and ecosystem functions across aquatic-terrestrial habitats in a river network
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A spatial genomic approach identifies time lags and historic barriers to gene flow in a rapidly fragmenting Appalachian landscape
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COI Leray fragment of adult and juvenile spiders
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Data from: Seeing the wood despite the trees: exploring the impact of human disturbance on plant diversity, community structure, and standing biomass in fragmented high Andean forests
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Samasgarh समस्गढ़ (Huzur tehsil, District Bhopal, Madhya Pradesh). Ceiling fragment.
<p>Samasgarh समस्गढ़ (Huzur tehsil, District Bhopal, Madhya Pradesh). Ceiling fragment, on site of ruined Hindu temple.</p> <p> </p>
Figure 6 in Home rangeı population densityı and foraging behaviour of the Yellow-breasted Warbling-Antbird (Hypocnemis subflava) in forest fragments in southwestern Brazilian Amazonia
Figure 6. Probability of occurrence of the Yellow-breasted Warbling-Antbird (Hypocnemis subflava) in relation to: (a) total bamboo culm density; (b) density of live culms; (c) density of dead culms; (d) percentage bamboo cover, and (e) mean height of the bamboo patch. Bamboo densities are shown as the number of culms per hectare. Each datapoint represents 1 – ha plot: squares = Zoobotanical Park, circles = Catuaba Experimental Farm, Triangles = Humaitá Forest Reserve.
Figure 1 in Home rangeı population densityı and foraging behaviour of the Yellow-breasted Warbling-Antbird (Hypocnemis subflava) in forest fragments in southwestern Brazilian Amazonia
Figure 1. Location of the three study areas (circled) in eastern Acre, southwestern Brazilian Amazonia, in which the grids were installed for the monitoring of the Yellow-breasted Warbling-Antbird (Hypocnemis subflava).
Figure 5 in Home rangeı population densityı and foraging behaviour of the Yellow-breasted Warbling-Antbird (Hypocnemis subflava) in forest fragments in southwestern Brazilian Amazonia
Figure 5. Frequency (number of events observed) of foraging by the Yellow-breasted Warbling- Antbird (Hypocnemis subflava) in each height class. The columns show the total number of records and the records for each study site. ZP = Zoobotanical Park; CEF = Catuaba Experimental Farm; HFR = Humaitá Forest Reserve.
Fig. 7 Leontopithecus chryso- pygus individual from a forest fragment with a in Examination of the Taxonomy and Diversification of Leontopithecus using the Mitochondrial Control Region
Fig. 7 Leontopithecus chryso- pygus individual from a forest fragment with a patched gold and black dorsal color pattern in contrast to the black body with orange/gold rump characteristic of Leontopithecus chryspygus.
(G) Higher magnification of dinosaur femur fragment in oblique view shows dense CB lined with newly described bone tissue, also seen in oblique view of emu (H) and ostrich (I) tibia. Ostrich MB is apparently unique in forming longitudinal tubules. in Gender-Specific Reproductive Tissue in Ratites and Tyrannosaurus rex
(G) Higher magnification of dinosaur femur fragment in oblique view shows dense CB lined with newly described bone tissue, also seen in oblique view of emu (H) and ostrich (I) tibia. Ostrich MB is apparently unique in forming longitudinal tubules.
Data for: Wind drives temporal variation in pollinator visitation in a fragmented tropical forest
<p>Data for "Wind drives temporal variation in pollinator visitation in a fragmented tropical forest." Files include:</p> <p>1. Data on orchid bee abundance and species identification.</p> <p>2. Data for collection sessions, including forest cover at each site, as well as wind data for the specific time period of the collection, and overall abundance counts, etc.</p> <p>3. R scripts to recreate statistical presented in the paper, using the two datasets described above.</p>
IO Islamic 3046. Jawâmi'-alḥikâyât wa lawâmi'-alriwâyât, Fragments of the Same Jawâmi'-alḥikâyât wa lawâmi'-alriwâyât
<p>IO Islamic 3046. Jawâmi’-alḥikâyât wa lawâmi’-alriwâyât, Fragments of the Same Jawâmi’-alḥikâyât wa lawâmi’-alriwâyât</p>
Madanpur मदनपुर (Lalitpur, UP). Sculpture fragments at Bījāsan Devī
<p>Madanpur मदनपुर (Lalitpur, UP). Sculpture fragments at Bījāsan Devī, base of a temple door belonging to the 700s.</p>
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments (HisFrag20) Dataset
<p>This competition investigates the performance of large-scale retrieval of historical document fragments based on writer recognition. The analysis of historic fragments is a difficult challenge commonly solved by trained humanists.<br> We focus on the task of automatic image retrieval to simulate common scenarios of humanities research, such as fragment or writer retrieval. Therefore, we created a large dataset consisting of more than 120000 fragments.<br> The goal is then to find similar patches of the same page or manuscript. contains ~100 000 fragments using the Historical-IR19 as base dataset, they should all contain some text, however some fragments are quite small.</p> <p>Training-set: contains ~100 000 fragments using the Historical-IR19 as base dataset, they should all contain some text, however some fragments are quite small.</p> <p>Test-set: contains about 20 000 new fragments</p> <p>Naming-convention: WID_PID_FID.jpg , where WID=writer id, PID: page id, FID= fragment id</p> <p>For more information visit: <a href="https://lme.tf.fau.de/research/competitions/hisfragir20/">https://lme.tf.fau.de/research/competitions/hisfragir20/</a></p>
K.107 Fragment of Práḥ Thãt Khnai Van : Transcription, translation and analysis
<p><a href="https://siddham.network/inscription/k107/">K.107</a> Fragment of Práḥ Thãt Khnai Van : Transcription, translation and analysis</p> <p><br> <a href="https://catalog.lib.uchicago.edu/vufind/alphabrowse/home?source=topic&from=Inscriptions+--+Cambodia">Inscriptions -- Cambodia</a><br> <a href="https://catalog.lib.uchicago.edu/vufind/alphabrowse/home?source=topic&from=Inscriptions.">Inscriptions. </a><br> <a href="https://catalog.lib.uchicago.edu/vufind/alphabrowse/home?source=topic&from=Cambodia.">Cambodia. </a></p> <p> </p>
Data from: Friends and Family: a software program for identification of unrelated individuals from molecular marker data. And from: Genetic diversity, relatedness and inbreeding of ranched and fragmented Cape buffalo populations in southern Africa
The identification of related and unrelated individuals from molecular marker data is often difficult, particularly when no pedigree information is available and the data set is large. High levels of relatedness or inbreeding can influence genotype frequencies and thus genetic marker evaluation, as well as the accurate inference of hidden genetic structure. Identification of related and unrelated individuals is also important in breeding programmes, to inform decisions about breeding pairs and translocations. We present Friends and Family, a Windows executable program with a graphical user interface that identifies unrelated individuals from a pairwise relatedness matrix or table generated in programs such as COANCESTRY and GenAlEx. Friends and Family outputs a list of samples that are all unrelated to each other, based on a user-defined relatedness cut-off value. This unrelated data set can be used in downstream analyses, such as marker evaluation or inference of genetic structure. The results can be compared to that of the full data set to determine the effect related individuals have on the analyses. We demonstrate one of the applications of the program: how the removal of related individuals altered the Hardy-Weinberg equilibrium test outcome for microsatellite markers in an empirical data set. Friends and Family can be obtained from https://github.com/DeondeJager/Friends-and-Family.
Data from: Urban forest fragments as unexpected sanctuaries for the rare endemic ghost butterfly from the Atlantic forest.
Anthropogenic land expansion, particularly urbanization, is pervasive, dramatically modifies the environment and is a major threat to wildlife with its associated environmental stressors. Urban remnant vegetation can help mitigate these impacts and could be vital for species unable to survive in harsh urban environments. Although resembling non-urban habitats, urban vegetation remnants are subject to additional environmental stresses. Here we evaluate the occurrence and density of the endemic ghost butterfly (Morpho epistrophus nikolajewna), that was once common, in the highly fragmented Atlantic forest of NE Brazil. We tested whether this butterfly would be found at lower densities in urban forest fragments of contrasting sizes as opposed to rural ones, given the number of environmental stressors found in urban areas. We surveyed 14 forest fragments (range 2.8 to over 3000 ha) of semi-deciduous Atlantic forest in rural and urban locations using transect based distance sampling. The ghost butterflies showed strong seasonality; flying only from April to June. They were only identified in an urban fragment (515 ha), with an estimate of 720 individuals and a density 1.4 ind/ha. All forest fragments had experienced some level of logging in the past, which might have had an effect in the butterfly population. Nevertheless, rural forest fragments were subject to increased particulate matter concentrations, associated to biomass burning, that we suggest might have had a more influential role driving the collapse of rural populations. Our findings show the importance of urban forest remnants to sustain population of this endangered species.
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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.