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2,107 results for “margin;”

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zenodo36/100

Cornus (Cornaceae) - leaf - margin of upper + lower surface

Image of Cornus (Cornaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2002View details →
zenodo36/100

Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2002View details →
zenodo36/100

Aesculus californica (Hippocastanaceae) - leaf - margin of upper + lower surface

Image of Aesculus californica (Hippocastanaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Aesculus californica (Hippocastanaceae) - leaf - margin of upper + lower surface

Image of Aesculus californica (Hippocastanaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2002View details →
zenodo36/100

Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2002View details →
zenodo36/100

Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus lobata (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2002View details →
zenodo36/100

Quercus acutissima (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus acutissima (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2014View details →
zenodo36/100

Quercus acutissima (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus acutissima (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2014View details →
dryad36/100

Data from: Data for habitat quality or quantity? Niche marginality across 21 plants and animals suggests differential responses between highland and lowland species to past climatic changes

<p>Climatic changes can affect species distributions, population abundance, and evolution. Such organismal responses could be determined by the amount and quality of available habitats, which can vary independently. In this study, we assessed changes in habitat quantity and quality independently to generate explicit predictions of the species' responses to climatic changes between Last Glacial Maximum (LGM) and present day. We built ecological niche models and distribution models for 21 reptile, mammal, and plant taxa from the Baja California peninsula inhabiting lowland or highland environments. Geological data suggests the CCSM global circulation model is a better representation of LGM climate for the Baja California peninsula. Significant niche divergence was detected for all clades within species, along with significant differences in the niche breadth and area of distribution between northern and southern clades. Most clades showed a reduction in distribution area towards LGM. Further, niche marginality (used as a measure of habitat quality) was higher during LGM for most clades, except for northern highland species. Our results suggest that changes in habitat quantity and quality can affect organismal response independently. This allows the prediction of genomic signatures associated with changes in effective population size and selection pressure that could be explicitly tested to support our models.</p>

opencc-zeroMay 2024View details →
dryad36/100

Data from: Comparative productivity of six bioenergy cropping systems on marginal lands in the Great Lakes Region, United States

<p>Growing lignocellulosic crops on marginal lands is a promising solution for sustainable biofuel production. We evaluated the productivity of bioenergy cropping systems (switchgrass [<em>Panicum</em> <em>virgatum</em> L., var. Cave‐In‐Rock], miscanthus [<em>Miscanthus</em> × <em>giganteus</em>, 'Illinois clone'], hybrid poplar [<em>Populus</em> <em>nigra</em> × <em>P. maximowiczii</em> A. Henry 'NM6'], native grasses [five species], early successional vegetation, and restored prairie vs. historical vegetation [as reference control]) with and without nitrogen fertilization on low‐fertility former cropland at five sites in the Great Lakes Region, United States. We reported biomass yields for the first 7 years after establishment. Switchgrass was most consistently productive across all sites, but miscanthus was more productive at three of the five sites. When averaged across sites, years, and nitrogen (N) treatments, biomass yields followed the order miscanthus &gt; switchgrass &gt; hybrid poplar ≈ native grasses &gt; restored prairie &gt; early successional vegetation ≈ historical vegetation, but varied substantially by crop and site, with a significant crop by site interaction. Yields of miscanthus and switchgrass peaked after four to five growing seasons and declined thereafter, while yields of both native grasses and restored prairie increased throughout 6 years with no sign of follow‐on decline, suggesting that polycultures may outperform monocultures over the long term. Yields of early successional vegetation—similar in composition to historical vegetation at each site—did not improve with time. Nitrogen fertilization increased the yields of all cropping systems at all sites. Our results demonstrate the viability of low‐productivity former cropland for long‐term bioenergy production and suggest there is no single crop best suited for all low-fertility soils.</p>

opencc-zeroJun 2024View details →
zenodo36/100

FIGURE 10 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)

FIGURE 10. Polpal outcome chart – climate and ecology.

opencc-by-4.0Dec 2020View details →
zenodo36/100

High-resolution topography data and fault trace along the Southern Riyueshan fault, NE margin of Tibetan Plateau, China

<p>High-resolution digital elevation models (DEM) topography data extracted from the uncrewed aerial vehicle (UAV) of a DJI (Dajiang Innovations Science and Technology Co., Ltd.) Phantom 4 RTK, and GF-7 satellite stereo imagery. The trace of the Riyueshan fault is interpreted based on these high-resolution topography data.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

SWS and Vp/Vs results - HOBITSS, 2014-2015, Hikurangi margin, New Zealand -

<p>We include here the&nbsp;shear wave splitting and Vp/Vs&nbsp;results used in &quot;Temporal and spatial variations in seismic anisotropy and Vp/Vs ratios in a region of slow slip&quot; as part of the Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip&rdquo; (HOBITSS) experiment. This catalog is part of a paper submitted to EPSL in September&nbsp;2019. A description of the column headers can be found in the MFAST manual, in table 4,&nbsp;at:&nbsp;<a href="http://mfast-package.geo.vuw.ac.nz/mfast_manual_v2.2.pdf">http://mfast-package.geo.vuw.ac.nz/mfast_manual_v2.2.pdf</a></p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

Figure 1. Margined lineblue, P in First record of Prosotas pia Toxopeus (Lepidoptera: Lycaenidae: Polyommatinae) in West Bengal, India

Figure 1. Margined lineblue, P. pia puddling on the stone (underside view).

opencc-by-4.0Dec 2020View details →
zenodo36/100

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).

opencc-by-4.0Jul 2018View details →
zenodo36/100

FIGURE 1 in Riparian and valley-margin hardwood species of pre-colonial Piedmont forests: A preliminary study of subfossil leaves from White Clay Creek, southeastern Pennsylvania, USA

FIGURE 1. Location of the White Clay Creek leaf mat site, Chester County, Pennsylvania.

opencc-by-4.0Jan 2016View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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