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7 results for “stand condition”

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zenodo40/100

Fig. 2 in Characteristic Growing Parameters Of Small-Leaved Lime And Norway Maple Stands In The Climatic Conditions Of Latvia

Fig. 2. Small leaved lime and Norway maple area dynamics in Latvia in 2001–2017 (http:// www.vmd.gov.lv/ Digital Forest Map Database of the State Forest Register [Accessed on March 2017]).

opencc-by-4.0Dec 2019View details →
zenodo40/100

Fig. 3 in Characteristic Growing Parameters Of Small-Leaved Lime And Norway Maple Stands In The Climatic Conditions Of Latvia

Fig. 3. Site location of sample plots of small leaved lime and Norway maple stands (Legend: L 15 (plantation forest); L 16 (plantation forest); L 17 (plantation forest); L 80 (forest stand); L 90 (forest stand); L 115 (forest stand) – lime/age; M 12 – plantation; M 12* – forest stand; M 55 (naturally established plantation forest); M (forest stand); M (forest stand) – lime/age; maple/age).

opencc-by-4.0Dec 2019View details →
ClinicalTrials.gov36/100

Effects of Substituting Sitting With Standing and Light Intensity Activity in Free-living Conditions on Glycaemia in Overweight and Obese South Asian Adults

ClinicalTrials.gov study NCT04645875. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad28/100

Stability in subtropical forests: the role of tree-species diversity, stand structure, environmental and socio-economic conditions

<p><strong>Aim: </strong>Tree species diversity can increase the stability of ecosystem productivity by increasing mean productivity and/or reducing the standard deviation in productivity. However, stand structure, environmental and socio-economic conditions influence plant diversity and may strongly influence the relationships between diversity and stability in natural forest communities. The relative importance of these factors on community stability remains poorly understood in complex (species-rich) subtropical forests.</p> <p><strong>Location: </strong>Subtropical area of southern China.</p> <p><strong>Time period: </strong>1999-2014.</p> <p><strong>Major taxa studied:</strong> Forest trees.</p> <p><strong>Methods: </strong>We conducted bivariate analyses to examine the mechanisms (overyielding and species asynchrony) underlying the effects of diversity on stability. Multiple regression models were then used to determine the relative importance of tree species diversity, stand structure, socio-economic factors and environmental conditions on stability. Structural equation modeling was used to disentangle how these variables directly and/or indirectly affect forest stability.</p> <p><strong>Results: </strong>Tree species richness exerted a positive effect on stability through overyielding and species asynchrony and this effect was stronger in mountainous forests than that in hilly forests. Species richness positively affected the mean productivity whereas species asynchrony negatively affected the variability in productivity, and hence increased forest stability. Structural diversity also had a positive effect while population density had a negative effect on stability. Precipitation variability and slope mainly indirectly influenced stability through their effects on tree species richness.</p> <p><strong>Main conclusions: </strong>Overall, tree species diversity governed stability; however stand structure, socio-economic and environmental conditions also played an important role in shaping stability in these forests. Our work highlights the importance of regulating stand structure and socio-economic factors in forest management and biodiversity conservation, to maintain and enhance their stability of providing the ecosystem services in the face of unprecedented anthropogenic activities and global climate change.</p>

opencc-zeroNov 2021View details →
dryad28/100

Data from: The features of muscle activity during chair standing and sitting motion in submerged condition

Open the record for dataset details and reuse information.

publicAug 2019View details →
dryad28/100

Stability in subtropical forests: the role of tree-species diversity, stand structure, environmental and socio-economic conditions

Open the record for dataset details and reuse information.

publicNov 2021View details →
ClinicalTrials.gov24/100

Effects of Standing on Non-Ambulatory Children With Neuromuscular Conditions

ClinicalTrials.gov study NCT02428673. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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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