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110 results for “plant spacing”
Figure S9 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S9 (lef). Numbers of genes recovered with at least 75% of the target length per sample.
Figure S6 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S6 (lef). Fractions of duplicated reads per sample.
Figure S11 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S11 (lef). Numbers of nucleotide sites per alignment.
Figure S5 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S5. Overview of species tree inference workflow with PhyloBayes.
Figure S4 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S4. Overview of species tree inference workflow with RAxML.
Figure S1 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S1. Overview of the data cleaning and target assembly workflow.
Figure S2 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S2. Overview and results of the orthology assessment workflow.
Figure S35 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S35. Mimosoid taxon and genus richness per half degree latitude/longitude grid cell.
Figure S3 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S3. Overview of species tree inference workflow with ASTRAL-3.
Data from: neglected puzzle pieces of urban green infrastructure: richness, cover, and composition of insect-pollinated plants in traffic-related green spaces
Open the record for dataset details and reuse information.
Data from: Space-for-time substitution misleads projections of plant community and stand-structure development after disturbance in a slow-growing environment
Open the record for dataset details and reuse information.
Depicting the phenotypic space of the annual plant Diplotaxis acris in hyper-arid deserts
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Location and plant spacing affect biomass yield and nutritional value of pigeon pea forage
Open the record for dataset details and reuse information.
Space resource utilization of dominant species integrates abundance- and functional-based processes for better predictions of plant diversity dynamics
Open the record for dataset details and reuse information.
Fig. 11 in Computational insight into the chemical space of plant growth regulators
Fig. 11. The results of testing the discovered hit-molecules (dots within the map) using the developed in silico model (background gradient corresponds to the distribution of Ref. PGRs). This case, the scale at the bottom indicates the number of hits in each node.
Fig. 10 in Computational insight into the chemical space of plant growth regulators
Fig. 10. The discrimination between two agro-categories using Ui: PGRs/pesticides (a), herbicides/PGRs (b).
Fig. 8 in Computational insight into the chemical space of plant growth regulators
Fig. 8. The distributions of PGRs (a), herbicides (b), fungicides (c), and insecticides (d). The scale at the bottom corresponds to the number of compounds; the axes indicate the node coordinates in the lattice; the contours are smoothed.
Fig. 9 in Computational insight into the chemical space of plant growth regulators
Fig. 9. The distributions of the descriptor values within the map for HBA (a) and RBN (b) demonstrate that separation could be achieved with a holistic approach. The scale at the bottom shows the number of the compounds; the axes indicate the node coordinates in the lattice; the contours are smoothed.
Fig. 4 in Computational insight into the chemical space of plant growth regulators
Fig. 4. The diversity in heterocycles for the reference compounds: PGRs (a), the whole reference set (b), herbicides (c).
Fig. 3 in Computational insight into the chemical space of plant growth regulators
Fig. 3. The representative examples of compounds from the reference dataset (the corresponding patent application numbers are provided).
ScienceDex guides
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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.