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140 results for “Pinus sylvestris”
Data from: Location, but not defensive genotype, determines ectomycorrhizal community composition in Scots pine (Pinus sylvestris L.) seedlings
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Changes in the intensity of heartwood formation in Scots pine (Pinus sylvestris L.) ontogenesis
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Data from: EuMIXFOR empirical forest mensuration and ring width data from pure and mixed stands of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) through Europe
This data set provides unique empirical data from triplets of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) across Europe. Dendrometric variables are provided for 32 triplets, 96 plots, 7555 trees and 4695 core samples. These data contribute to our understanding of mixed stand dynamics.
Flat-bed scanner images and daily growth of Scots pine (Pinus sylvestris L.) roots data in SMEAR II Hyytiälä
<p>This zip-file contains</p> <p>(1) the daily root scanner images of three flat-bed scanners during the growing season of 2018 in SMEAR II, Hyytiälä. </p> <p>The images were brightness adjusted by the Authors. The images were taken between 25.04.2018-01.10.2018. The missing images for scanner 2 due to connection errors: 27.05-28.05.2018 and 04.08.2018. Missing dates for scanner 3: 29.08-02.09.2018 and 14.10.2018.</p> <p>(2) daily_root_growth<br> We used 'Winrhizotron 2015a' software to analyze the daily root elongation data, divided by pioneer and fibrous roots, including daily active root number, and average daily elongation rate</p> <p>(3) CASSIA_root<br> We estimated the growth phenology of aboveground tree organs, such as shoots, needles, buds and secondary xylem using the ‘Carbon Allocation Sink Source Interaction’ (CASSIA) model (Schiestl-Aalto et al. 2015). Simulated aboveground organs' data and our root data were combined in the same dataset.</p> <p>(4) surface_area<br> Root surface area increase rate ( analyzed by 'Winrhizotron 2015a' software), divided by pioneer and fibrous roots</p> <p> </p>
Data from: EuMIXFOR empirical forest mensuration and ring width data from pure and mixed stands of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) through Europe
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Data from: Genetic heterogeneity underlying variation in a locally adaptive clinal trait in Pinus sylvestris revealed by a Bayesian multipopulation analysis
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Data from: Species interactions increase the temporal stability of community productivity in Pinus sylvestris-Fagus sylvatica mixtures across Europe
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Data from: Parentage and relatedness reconstruction in Pinus sylvestris using genotyping by sequencing
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Data from: Carbon use efficiency of mycorrhizal fungal mycelium increases during the growing season but decreases with forest age across a Pinus sylvestris chronosequence
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Fig. 4 in Variation In Cone And Seed Morphology Traits Among The Mitochondrial Dna Haplotypes Of Scots Pine (Pinus Sylvestris L.)
Fig. 4. Dependence of seed number per cone on cone width for the type A and type B mitotypes of Scots pine. Individual cone values are shown.
Thousand-year Indexed tree-ring pine (Pinus sylvestris) chronologies from the Neman basin, Belarus
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Data from: Cold adaptation drives variability in needle structure and anatomy in Pinus sylvestris L. along a 1,900 km temperate–boreal transect
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Gene expression changes in Cenococcum geophilum-Pinus sylvestris ectomycorrhizal roots compared to Cenococcum geophilum free-living mycelium
GEO Series GSE83909. Cenococcum geophilum. 6 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcript profiling of interaction events in Pinus sylvestris root tissues following challenge (15dpi).
GEO Series GSE5407. Pinus sylvestris; Pinus taeda. 36 samples. Type: Expression profiling by array.
Gene expression changes in Suillus luteus- Pinus sylvestris ectomycorrhizal roots compared to Suillus luteus free-living mycelium
GEO Series GSE63926. Suillus luteus. 4 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcript profiling of interaction events in Pinus sylvestris root tissues following challenge (5dpi).
GEO Series GSE5408. Pinus sylvestris; Pinus taeda. 36 samples. Type: Expression profiling by array.
Gene expression changes in Cenococcum geophilum 1.58-Pinus sylvestris ectomycorrhizal roots, sclerotia and extramatrical mycelium compared to Cenococcum geophilum free-living mycelium
GEO Series GSE108866. Pinus sylvestris; Cenococcum geophilum 1.58. 12 samples. Type: Expression profiling by high throughput sequencing.
Data set of resilience indices to drought and prescribed burning of Pinus nigra ssp. salzmannii and P. sylvestris L. trees
<p>Data on resilience and resistance indices to drought and burning inferred from tree ring width and carbon 13 isotopes for burned and unburned <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris </em>trees<em>.</em>The dataset contains two files:</p> <p>TreeGrowth.txt: Data on resilience and resistance indices to drought and prescribed burning as well as the ratio of latewood to earlywood. Indices are inferred from total tree-ring, earlywood, and latewood widths. Included variables:</p> <ul> <li> Idsite (factor): code to identify uniquely each locality. Two levels: Miravé (1) and Lloreda (2).</li> <li> Idplot (factor): code to identify uniquely burned plots. Four levels: Miravé-Fall (1), Mirave-Spring (2), Lloreda-Fall (3) and Lloreda-Spring (4).</li> <li>Treatment (factor): whether the plot was burned or not. Two levels: control or left unburned (C) or burned (B)</li> <li>BurningSeason (factor): season of the burn. Three levels: control or left unburned (C), fall burn (F) or spring burn (S)</li> <li>Sp (factor): species. Two levels: <em>Pinus sylvestris</em> (ps) or<em> Pinus nigra </em>(pn)</li> <li>TreeCode (numeric): code to identify trees in the field</li> <li>dbh (numeric): diameter at breast height (cm)</li> <li>c12 (numeric): competition index before burning</li> <li>rci15 (numeric): release from tree competition 2 years post-burning calculated as the difference between pre (CI12) and post-burning competition (CI15) indices relative to pre-burning levels </li> <li>bchmin (numeric): minimum bole scorch height (cm)</li> <li>bchmax (numeric): maximum bole scorch height (cm)</li> <li>whiteAshes (numeric): white ashes after burning (%, in 1m radius from tree center)</li> <li>Resistance (numeric): Average basal area increment (BAI) during the stress period (drought 2012 and prescribed burning 2013) divided by the average BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR (numeric): Average total tree ring BAI of the two years after the stress period (2014 and 2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR14 (numeric): Total tree ring BAI of the first year after the stress period (2014) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR15 (numeric): Total tree ring BAI of the second year after the stress period (2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW (numeric): Average earlywood BAI of the two years after the stress period (2014 and 2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW14 (numeric): Earlywood BAI of the first year after the stress period (2014) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW15 (numeric): Earlywood BAI of the second year after the stress period (2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW (numeric): Average latewood BAI of the two years after the stress period (2014 and 2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW14 (numeric): Latewood BAI of the first year after the stress period (2014) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW15 (numeric): Latewood BAI of the second year after the stress period (2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>preLWEW (numeric): mean pre-stress ratio of latewood to earlywood calculated for the period 2006-2011</li> <li>difLWEW (numeric): mean post-stress latewood:earlywood (2014-2015) minus mean pre-stress latewood:earlywood (2006-2011)</li> </ul> <p>d13c.txt: Early and late-wood carbon 13 isotope from 2011 to 2015 for <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris</em> burned in spring and fall in year 2013 at two sites. </p> <ul> <li>Idsite (factor): code to identify uniquely each locality. Two levels: Miravé (1) and Lloreda (2).</li> <li>Sp (factor): species. Two levels: Pinus sylvestris (ps) or Pinus nigra (pn)</li> <li>BurningSeason (factor): season of the burn. Three levels: control or left unburned (C), fall (F) or spring (S)</li> <li>TreeCode (factor): code to identify trees in the field."Pool" means that a pool of 5 individuals was used to determine carbon 13 isotope.</li> <li>SeasonalGrowth (factor): seasonal wood growth. Two levels: earlywood (E) and latewood (L).</li> <li>year (numeric): calendar year.</li> <li>d13c (numeric): carbon 13 isotope<br> </li> </ul>
Scots pine (Pinus sylvestris) differentially interacts with Cenococcum geophilum and other simultaneously inoculated mycorrhizal (ECM) fungi
GEO Series GSE80549. Pinus sylvestris; Cenococcum geophilum. 14 samples. Type: Expression profiling by array.
Transcript profiling of Pinus sylvestris trees as a response to Heterobasidion annosum infection under field conditions
GEO Series GSE66168. Pinus sylvestris. 24 samples. Type: Expression profiling by array.
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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)
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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.