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174 results for “Species cover”
Fig. 9 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 9. Miscellaneous compounds isolated from Siparuna species.
Fig. 6 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 6. Previously undescribed terpenoids isolated from Siparuna species.
Fig. 5 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 5. Structure of catechin, a known flavanol isolated from P. boldus.
Fig. 8 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 8. Known alkaloids isolated from the Siparunaceae family.
Fig. 4 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 4. Known alkaloids isolated from the Monimiaceae family.
Fig. 11 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 11. Previously undescribed and known alkaloids isolated from the Atherospermataceae family.
Fig. 3 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 3. Miscellaneous known compounds isolated from Mollinedia in the Monimiaceae family.
Data from: Bird species diversity in Altai riparian landscapes: wood cover plays a key role for avian abundance
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Data from: Landscape-specific thresholds in the relationship between species richness and natural land cover
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SNF Forest Cover by Species/Strata
The purpose of the SNF study was to improve our understanding of the relationship between remotely sensed observations and important biophysical parameters in the boreal forest. A key element of the experiment was the development of methodologies to measure forest stand characteristics to determine values of importance to both remote sensing and ecology. Parameters studied were biomass, leaf area index, above ground net primary productivity, bark area index and ground coverage by vegetation. Thirty two quaking aspen and thirty one black spruce sites were studied. Use of multiple plots within each site allowed estimation of the importance of spatial variation in stand parameters. Within each plot, all woody stems greater than two meters in height were recorded by species and relevant dimensions were measured. Diameter breast height (dbh) was measured directly. Height of the tree and height of the first live branch were determined by triangulation. The difference between these two heights was used as the depth of crown. Similar measurements were made for shrubs between one and two meters tall in the aspen sites. The Forest Canopy Composition (SNF) data set provides the counts of canopy (over two meters tall) tree species and subcanopy (between one and two meters tall) tree species. Also related, for the aspen sites, in each plot a visual estimation of the percent coverage of the canopy, subcanopy and understory vegetation was made. The site averages of these coverage estimates are presented in the Aspen Forest Cover by Stratum/Plot (SNF) data set.
NDVI, Species Cover, and LAI, Burned and Unburned sites, Interior Alaska, 2017-2018
This dataset provides leaf area index (LAI), tree species and canopy cover, normalized difference vegetation index (NDVI), and NDVI trends for boreal forests in interior Alaska, U.S. These data were collected to investigate NDVI trends with forest structure and composition as influenced by disturbance and succession. The data are from 102 sites surveyed in 2017 and 2018 and include locations with and without a fire since 1940. A time series of NDVI was developed from Landsat (1999-2018) to measure NDVI trends. The field data cover the period 2017-08-29 to 2018-08-20. The surveyed forest stands spanned a distance of over 425 km across interior Alaska. The sites were selected before visiting the field to include locations with and without a fire since 1940. Recently burned sites were selected to span a range of years since fire, while sites without a recent fire were selected to include a range of Landsat NDVI trends. For each year, the median NDVI during the growing season was calculated. Then, a simple linear regression trend was calculated for years 1999-2018.
Shrubland Species Cover, Biometric, Carbon and Nitrogen Data, Southern Idaho, 2014
This dataset provides the results of the characterization of shrubland vegetation at two study areas in southern Idaho, USA: the Reynolds Creek Experimental Watershed (RCEW) and Hollister. Data were collected in September and October 2014. In each study area, several 10-m x 10-m plots were randomly established that are representative of the local dominant vegetation types. Measurements are reported for both plot and individual shrub attributes. Plot measurements include shrub density and biometric data, percent shrub cover derived from line intercept transects, percent plant species and bare ground cover derived from photo analysis, and average LAI. Measurements for selected individual shrubs include height, width, length, number of stems, and LAI. Leaf samples were collected for determining LAI, specific leaf area (SLA), carbon and nitrogen concentrations, and isotopic nitrogen and carbon.
Supplementary Material-Tree Cover Improved the Species Diversity of Understory Spontaneous Herbs in a Small City
<p>A table of trait data for all species identified in the study "Tree Cover Improved the Species Diversity of Understory Spontaneous Herbs in a Small City"</p>
FIGURE. Puccinia caulophylli on Caulophyllum robustum (A–G) and Milium effusum (H–N). A. Plants producing spermogonia and aecia on leaf surface in the field. B. Vertical section of a spermogonium. C. Vertical section of an aecia surrounded with peridia. D, E. Aecia on the leaf surface observed by SEM. F. Aeciospores with verrucose surface observed by SEM. G. Aeciospores. H. Telia on the lower leaf surface. I. Uredinia on the leaf surface observed by SEM. J. Uredinia and telia on the leaf surface. K. Vertical section of an uredinium with paraphyses. L. Urediniospore observed by SEM. M. Vertical section of telia covered by host epidermis. N. Vertical section of a telium covered by host epidermis observed by SEM. Scale bars: B, G, N = 30 μm, C, E, I = 100 μm, F, L = 10 μm, K, M = 20 μm. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China
FIGURE. Puccinia caulophylli on Caulophyllum robustum (A–G) and Milium effusum (H–N). A. Plants producing spermogonia and aecia on leaf surface in the field. B. Vertical section of a spermogonium. C. Vertical section of an aecia surrounded with peridia. D, E. Aecia on the leaf surface observed by SEM. F. Aeciospores with verrucose surface observed by SEM. G. Aeciospores. H. Telia on the lower leaf surface. I. Uredinia on the leaf surface observed by SEM. J. Uredinia and telia on the leaf surface. K. Vertical section of an uredinium with paraphyses. L. Urediniospore observed by SEM. M. Vertical section of telia covered by host epidermis. N. Vertical section of a telium covered by host epidermis observed by SEM. Scale bars: B, G, N = 30 μm, C, E, I = 100 μm, F, L = 10 μm, K, M = 20 μm.
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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.