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2,052 results for “tree species”
Data from: Assessing approaches for inferring species trees from multi-copy genes
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Genomic characterization and curation of UCEs improves species tree reconstruction: Supplementary Material S1
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Data from: Effectiveness of phylogenomic data and coalescent species-tree methods for resolving difficult nodes in the phylogeny of advanced snakes (Serpentes: Caenophidia)
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Data from: Patterns of pollen flow in a dense population of the insect-pollinated canopy tree species Castanopsis sieboldii
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The genome assembly and annotation of Magnolia biondii Pamp., a phylogenetically, economically, and medicinally important ornamental tree species
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Data from: Detecting the anomaly zone in species trees and evidence for a misleading signal in higher-level skink phylogeny (Squamata: Scincidae)
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SimPhy configuration scripts for simulations reported in the study titled: Species tree inference methods intended to deal with incomplete lineage sorting are robust to the presence of paralogs
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Genotyping by sequencing data of five legume tree species widespread in the rainforests of West and Central Africa
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Stability in subtropical forests: the role of tree-species diversity, stand structure, environmental and socio-economic conditions
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Tree Species Abundances by Plot at HJA, HFR, BCI, CWT, LUQ, and NWT
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains plant species abundances of trees in a group of five Gentry plots set up at each of the six test sites (HJA, HFR, LUQ, BCI, CWT, NWT). These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona to measure annual tree growth as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836. This file was created using R code run on the Macroplots Tree Growth Data file.
Tree Species Richness by Site at HJA, HFR, BCI, CWT, LUQ, and NWT
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains plant species richness of trees at each of the six test sites (HJA, HFR, LUQ, BCI, CWT, NWT). These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona to measure annual tree growth as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836. This file was created using R code run on the Macroplots Tree Growth Data file.
Tree Species Richness by Plot at HJA, HFR, BCI, CWT, LUQ, and NWT
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains species richness of trees in a group of five Gentry plots set up at each of the six test sites (HJA, HFR, LUQ, BCI, CWT, NWT). These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona to measure annual tree growth as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836. This file was created using R code run on the Macroplots Tree Growth Data file.
Macrosystems VIDA Tree Growth Simulation - 100 by 100 World 30 Species
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset was based on simulations run by VIDA, a software suite that attempts to model the growth of individual trees using empirically derived--or randomly chosen--values for use with allometric relationships. By modeling the behavior of an individual tree, it is possible to model population dynamics in a spatially explicit simulation space. The modeling was done by Sean Hammond at The Brown Lab (PI, Jim Brown) at the University of New Mexico as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
BOREAS TE-04 Branch Bag Data from Boreal Tree Species
The BOREAS TE-04 team collected continuous records of gas exchange under ambient conditions from intact boreal forest trees in the BOREAS NSA from 23-Jul-1996 until 14-Aug-1996. These measurements can be used to test models of photosynthesis, stomatal conductance, and leaf respiration, such as SiB2 (Sellers et al., 1996) or the leaf model (Collatz et al., 1991), and programs can be obtained from the investigators.
BOREAS TE-04 Gas Exchange Data from Boreal Tree Species
Measurements of light, CO2, temperature, and humidity response curves were made by the BOREAS TE-04 team during the summary of 1994 using intact attached leaves of boreal forest species located in the BOREAS SSA. These measurements were conducted to calibrate models used to predict photosynthesis, stomatal conductance, and leaf respiration. The data can be used to construct plots of response functions or for parameterizing models. Parameter values suitable for application in SiB2 (Sellers et al., 1996) or the leaf model of Collatz et al. (1991) and programs can be obtained from the investigators.
AfriSAR: Mondah Forest Tree Species, Biophysical, and Biomass Data, Gabon, 2016
This dataset provides plot-level estimates of basal area, aboveground biomass, number of trees, maximum tree height, and basal-area-weighted wood specific gravity that were derived from observations of nearly 6,700 individual trees including tree family, species, DBH, the height of each tree, and their x, y location within 25 x 25 m subplots. These field data were collected from 15 1-hectare plots located across the Mondah Forest of Gabon as part of the AfriSAR Campaign in 2016. These biophysical and biomass data were used for training models to derive the AfriSAR remote sensing-based aboveground biomass products.
Symbiosis with Tuber indicum and T. panzhihuanense affected the leaf transcriptomic profiles of two tree species
GEO Series GSE287070. Pinus armandii; Carya illinoinensis. 24 samples. Type: Expression profiling by high throughput sequencing.
Single-nucleus transcriptomic sequencing and cross integration comparison of multiple species revealed new cell composition and specific gene marker in hippocampal aging of tree shrew
GEO Series GSE229035. Tupaia belangeri. 15 samples. Type: Expression profiling by high throughput sequencing.
Single-cell nuclear transcriptome sequencing and cross-species analysis reveal tree shrew retina Age-associated cellular profiles and specific markers
GEO Series GSE227524. Tupaia belangeri. 15 samples. Type: Expression profiling by high throughput sequencing.
Validation data: Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance
<p>Validation data used in the analysis presented by Legaard et al. (in review). Validation data are sufficient to replicate model comparisons presented in this paper. Note that model training data were provided by the USDA Forest Service, Forest Inventory and Analysis Program through a collaborative agreement, are maintained by the USDA Forest Service as confidential, and cannot be shared.</p> <p>Legaard, K., Simons-Legaard, E., Weiskittel, A., Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance, Remote Sensing, in review.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.