Find research datasets worth reusing
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Dataset results
518 results for “useful plants”
Projected impacts of climate and land use changes on the habitat of Atlantic Forest plants in Brazil
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Data from: Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and Petunia exserta
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Data from: putting seed traits into pellets: using seed mass data to improve seed encapsulation technology for native plant revegetation
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Data from: Riders in the sky (islands): using a mega-phylogenetic approach to understand plant species distribution and coexistence at the altitudinal limits of angiosperm plant life
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Analyzing coastal fog effects on carbon and water fluxes in a California agricultural system using approaches in biometeorology, remote sensing, and plant physiology
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Data: Detecting preservation and reintroduction sites for endangered plant species using a two-step modelling and field approach
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Data from: Land-use intensification increases richness of native and exotic herbaceous plants, but not endemics, in Malagasy vanilla landscapes
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Data from: Plant composition and species use in agroforestry homegardens in the Eastern Amazon, Brazil
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An interpolated biogeographic framework for tropical Africa using plant species distributions and the physical environment
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Patterns of host plant use do not explain mushroom body expansion in Heliconiini butterflies
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Elk food habits using DNA metabarcoding for plant identification
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Measuring plant biomass remotely using drones in arid landscapes
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Data from: Land-use intensity and relatedness to native plants promote exotic plant invasion in a tropical biodiversity hotspot
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African sunbirds predominantly pollinate plants useful to humans
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Water Use and flooding in central Arizona-Phoenix: comparison of water and carbon dioxide uptake by selected plant species among residential patch transition types, from 1998 to 1999.
Compare the primary productivity (rate of of production of plant material) and uptake of water and carbon dioxide by selected plant species, at sites selected to represent the transition between desert or agriculture and new residential development.
Data and Code from: Using cameras for precise measurement of two-dimensional plant features: CASS
<p>Computer vision explanation: The code (https://github.com/amy-tabb/CASS, referred to as CASS) takes an image of an object on top of an aruco calibration pattern, calibrates the camera using the detected aruco information as well as EXIF tag information, and undistorts and computes the homography from the current location of the aruco calibration pattern in the image to its location in physical space. Then the image is warped to match the coordinate system of the aruco coordinate system, scaled by a user-selected parameter.</p> <p>This dataset provides examples of properly-formatted input images and accompanying text files, as well as a successful run where the option of writing intermediate results has been selected. Details about how to format the directories is found in the README of https://github.com/amy-tabb/CASS.</p> <ul> <li><code>iphone6</code>. is a directory of input files using the camera of a iPhone 6 cellular phone.</li> <li><code>iphone6_results</code>. is the directory of results created from running CASS on <code>iphone6</code>.</li> <li><code>CanonEOS60D</code>. is a directory of input files using a DSLR camera from Canon, model name EOS 60D.</li> <li><code>CanonEOS60D_results.</code> is the directory of results created from running CASS on <code>CanonEOS60D</code>.</li> </ul> <p>See the <code>Write directory format</code> section of CASS's README for details of all of the files; briefly for this example, <code>warped_ORIGINALFILENAME.jpg</code> is the original image, transformed such that 10 pixels corresponds to 1 millimeter on the two dimensional plane of the calibration pattern.</p> <p>https://github.com/amy-tabb/CASS provides code in C++ for processing on this dataset, as well as as Docker image.</p> <p> </p>
Supplementary tables S5, S7, S9, S10, original protein models fasta files used for alignments, aligned and manually curated protein modes files used for phylogenies (PHYLIP format), and phylogenetic trees of plant cell wall decomposition gene families from 44 basidiomycete genomes (.tre files)
<p><span><span><span><span><span><span><span><span><span><span><span>Litter-decomposing Agaricales play key role in terrestrial carbon cycling, but little is known about their decomposition mechanisms. We assembled datasets of 42 gene families involved in plant-cell-wall decomposition from seven newly sequenced litter decomposers and 35 other Agaricomycotina members, mostly white-rot and brown-rot species. Using sequence similarity and phylogenetics, we split the families into phylogroups and compared their gene composition across nutritional strategies. Subsequently, we used Raman spectroscopy to examine the ability of litter decomposers, white-rot fungi, and brown-rot fungi to decompose crystalline cellulose. Both litter decomposers and white-rot fungi share the enzymatic cellulose decomposition, whereas brown-rot fungi possess a distinct mechanism that disrupts cellulose crystallinity. However, litter decomposers and white-rot fungi differ with respect to hemicellulose and lignin degradation phylogroups, suggesting adaptation of the former group to the litter environment. Litter decomposers show high phylogroup diversity, which is indicative of high functional versatility within the group, whereas a set of white-rot species shows adaptation to bulk-wood decomposition. In both groups, we detected species that have unique characteristics associated with hitherto unknown adaptations to diverse wood and litter substrates. Our results suggest that the terms white-rot fungi and litter decomposers mask a much larger functional diversity.</span></span></span></span></span></span></span></span></span></span></span></p>
Stand age rather than soil moisture gradient dominantly regulates the compromise between plant growth and water use of Eucalyptus urophylla in hilly South China
<p>These files contain the clinate data, the morphology characteristics, soil water content and tree normalized transpiration collected in our studied site.</p>
Data from: Host-plant use of a polyphagous mirid, Apolygus lucorum: molecular evidence from migratory individuals
While the host-plant use of insect herbivores is important for understanding their interactions and coevolution, field evidence of these preferences is limited for generalist species. Molecular diet analysis provides an effective option for gaining such information, but data from field-sampled individuals are often greatly affected by the local composition of their host plants. The polyphagous mirid bug Apolygus lucorum (Meyer-Dür) seasonally migrates across the Bohai Sea, and molecular analysis of migrant bugs collected on crop-free islands can be used to estimate the host-plant use of A. lucorum across the large area (northern China) from where these individuals come. In this study, the host-plant use of A. lucorum adults was determined by identifying plant DNA using a three-locus DNA barcode (rbcL, trnH-psbA and ITS) in the gut of migrant individuals collected on Beihuang Island. We successfully identified the host plant families of A. lucorum adults, and the results indicated that captured bugs fed on at least 17 plant families. In addition, gut analyses revealed that 35.9% of A. lucorum individuals fed on multiple host plants but that most individuals (64.1%) fed on only one plant species. Cotton, Gossypium hirsutum L., DNA was found in 35.8% of the A. lucorum bugs examined, which was much higher than the percentage of bugs in which other host plants were found. Our work provides a new understanding of multiple host-plant use by A. lucorum under natural conditions, and these findings are available for developing effective management strategies against this polyphagous pest species.
Data from: Using text-mined trait data to test for cooperate-and-radiate co-evolution between ants and plants
Mutualisms may be "key innovations" that spur lineage diversification by augmenting niche breadth, geographic range, or population size, thereby increasing speciation rates or decreasing extinction rates. Whether mutualism accelerates diversification in both interacting lineages is an open question. Research suggests that plants that attract ant mutualists have higher diversification rates than non-ant associated lineages. We ask whether the reciprocal is true: does the interaction between ants and plants also accelerate diversification in ants, i.e. do ants and plants cooperate-and-radiate? We used a novel text-mining approach to determine which ant species associate with plants in defensive or seed dispersal mutualisms. We investigated patterns of lineage diversification across a recent ant phylogeny using BiSSE, BAMM, and HiSSE models. Ants that associate mutualistically with plants had elevated diversification rates compared to non-mutualistic ants in the BiSSE model, with a similar trend in BAMM, suggesting ants and plants cooperate-and-radiate. However, the best-fitting model was a HiSSE model with a hidden state, meaning that diversification models that do no account for unmeasured traits are inappropriate to assess the relationship between mutualism and ant diversification. Against a backdrop of diversification rate heterogeneity, the best-fitting HiSSE model found that mutualism actually decreases diversification: mutualism evolved much more frequently in rapidly diversifying ant lineages, but then subsequently slowed diversification. Thus, it appears that ant lineages first radiated, then cooperated with plants.
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.