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22,710 results for “Plants for planting”
Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Image of Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Image of Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Image of Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Image of Crataegus harbisonii (Rosaceae) - fruit - as borne on the plant
Ulmus serotina (Ulmaceae) - fruit - as borne on the plant
Image of Ulmus serotina (Ulmaceae) - fruit - as borne on the plant
Figure 6 in Colotis lais (Butler, 1876) and Colotis euippe omphale (Godart, [1819]) use Cadaba aphylla (Thunb.) Wild LC as a host-plant at Tswalu Kalahari, Northern Cape Province, South Africa)
Figure 6 – Location of Tswalu Kalahari in southern Africa.
Mesolithic Plant Processing Unveiled: Multiscale Use-Wear Analysis of the Ground Stone Tools from Vlasac (Serbia)
<p>This repository contains the raw data and code to reproduce the analyses presented in the paper "Mesolithic Plant Processing Unveiled: Multiscale Use-Wear Analysis of the Ground Stone Tools from Vlasac (Serbia)" by Zupancich et al.</p> <p>The repositiory includes:</p> <ul> <li>CSV files containing the raw data of:</li> <li>3D surface measurement of experimental and archaeological ground stone tools</li> <li>Use wear spatial distribution</li> <li>Ground stone tools techno-morphological data</li> <li>HTML files of the code utilised to perform the analyses</li> </ul>
Dynamic cortical behavior of plant protoplasts reveals unexpected similarities between plant and animal cells
<p>The raw data presented in this folder corresponds to the publication<br># Dynamic cortical behavior of plant protoplasts reveals unexpected similarities between plant and animal cells</p> <p>Johanna E. M. Dickmann 1,2, Marjolaine Martin 1,§, Claire Lionnet 1,§, Zoe Nemec-Venza 1, Olivier Hamant 1,2</p> <p>1 Laboratoire Reproduction et Développement des Plantes, ENS de Lyon, INRAE, CNRS, UCBL1 <br>2 Correspondence: olivier.hamant@ens-lyon.fr, johanna.dickmann@ens-lyon.fr <br>§ Equal contribution </p> <p>ORCIDs:<br>* Johanna Dickmann: 0000-0002-0861-4440<br>* Zoe Nemec-Venza: 0000-0002-2346-2596<br>* Olivier Hamant: 0000-0001-6906-6620</p> <p>Submitted to bioRxiv in November 2024 </p> <p>This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 521501033 to J.D. and the European Research Council (ERC-2021-AdG-101019515 “Musix” to O.H.).</p> <p>## Data organization</p> <p>The data are organized according to the figure panels in the publication. For large experiments, the folders may contain subfolders for each experimental repeat and/or condition. For explanations on the data and the methods, please refer to the publication.</p> <p>All data presented here are the original raw data output of the microscopes in the CZI format, a proprietary format developed by Zeiss, encapsulating both 4D image data and metadata, i.e. acquisition settings. This format is supported by open-source software such as Fiji and Open Microscopy Environment.</p> <p>Refer to the README files in the subfolders for information on which exact file was used to display in the figure.</p> <p>## Explanation of the file names</p> <p>### Arabidopsis experiments</p> <p>The filenames contain the following information, separated by underscores:<br>* an experiment identifier (e.g.”PLA001”, “PRO077”)</p> <p>* the line of the imaged plant material (e.g. “pUBQ10-LTi6B-TdTomato”)</p> <p>* sometimes information on the ecotype of the line (e.g. “Col-0”)</p> <p>* the age of the plants (e.g. “7d” = 7 day old plants)</p> <p>* sometimes information on a stain added (e.g. “FM4-64_0_5ugPml” = FM4-64 dye at a final concentration of 5 ug/ml)</p> <p>* sometimes information on a treatment (e.g. “beforeFDA” = image taken before FDA was added; “FDA2.5ugPml” = after adding FDA at a final concentration of 2.5 ug/ml, sometimes with additional information on the time between adding the FDA and imaging, e.g. “25min”)</p> <p>* sometimes information on the centrifugation speed (e.g. “100g”)</p> <p>* sometimes information on the imaging support (e.g. “bucket” = NOA73 container, “wells” = NOA73 microwells, “coverslip”)</p> <p>* sometimes information on the imaging mode (“z-stack”, “t-series” = time series/timelapse, “6x” = zoom of 6 in Zen software)</p> <p>* the solution the sample was imaged in (“Solution A” or “A” = hyperosmotic buffer with D-mannitol, “AS” = hyperosmotic buffer with D-sorbitol)</p> <p>* sometimes information on experimental setup (“ON” = overnight timelapse imaging)</p> <p>* increasing numbers at the end of the file name indicate subsequent fields of view or positions imaged with the same settings</p> <p>* for Fig. 1A: information about the length of the plasmolysis (“50 min”)</p> <p>* for Fig. 4c,d: information on which solution the protoplasts are and have been imaged in: “A” = hyperosmotic buffer solution with 600 mM D-mannitol. “B” = hyperosmotic buffer solution with 280 mM D-mannitol. Times indicate time between addition of new buffer and onset of imaging of the position list.</p> <p>* for Fig. 4e-f: the concentration of the hyperosmotic buffer solution is indicated. For the control, the number of additions of hyperosmotic buffer solution with 600 mM D-mannitol is indicated.</p> <p>### Physcomitrium patens experiments</p> <p>The filenames contain the following information, separated by underscores:<br>* an experiment identifier (e.g. "PyP001") </p> <p>* “Physco_wt” referring to Physcomitrium patens wild type</p> <p>* the age of the moss tissue used for protoplasting (e.g. “6d” = 6 days)</p> <p>* information on the stain added (e.g. “ Fm4-64_2ugPml” = FM4-64 dye at a final concentration of 2 ug/ml)</p> <p>* information on the imaging support (e.g. “bucket” = NOA73 container, “coverslip”)</p> <p>### Maize experiments</p> <p>The filenames contain the following information, separated by underscores:<br>* the date on which the experiment was performed (yyyymmdd)</p> <p>* the plant species (“Maize”)</p> <p>* sometimes information in the solution used for digestion ("A+E" = hyperosmotic buffer solution with D-mannitol)</p> <p>### Bead experiments</p> <p>The filenames contain the following information, separated by underscores:<br>* an experiment identifier (e.g. “beads008”)</p> <p>* a description of the beads (“fluoresbrite1micron” = Fluoresbrite beads of a diameter of 1 um)</p> <p>* sometimes a short description of the protocol (e.g. “SolAwashed-2-3mLsolA” = NOA73 microwells were washed in hyperosmotic buffer with 600 mM D-mannitol 2x prior to imaging, beads were imaged in 3 ml hyperosmotic buffer solution with 600 mM D-mannitol.)</p> <p>* an information on the size of the field of view (e.g. “small FOV” = small field of view, i.e. one microwell with beads)</p> <p>* information at which approx. height of the microwell the image was taken (“TopOfWells” = close to the opening of the wells on the top)</p> <p>* sometimes information on the zoom of the Zen software (e.g. “7x”)</p>
Abundance of Oxythyrea sp. and Tropinota sp. Flower Chafer Beetles on Various Plant Species in Northern Mallorca
<p>The relevant study investigated the habitat preferences of beetles belonging to the <em>Oxythyrea</em> and <em>Tropinota</em> genera in Northern Mallorca, with a particular focus on flowering species as host plants. A total of 838 observational results were collected throughout field surveys. Key findings indicated that <em>Oxythyrea </em>sp. and <em>Tropinota </em>sp. beetles predominantly inhabited areas with dense populations of flowering <em>Galactites </em>sp. and <em>Asphodelus </em>sp. plants in this region.</p>
Evolution of sympatric host-specialized lineages of the fungal plant pathogen Zymoseptoria passerinii in natural ecosystems
<p>This repository contains the data sets from the research paper "Evolution of sympatric host-specialized lineages of the fungal plant pathogen <em>Zymoseptoria passerinii</em> in natural ecosystems"</p>
Catalogue of expansive plants of the Czech Republic
<p>Our goal was to create an up-to-date catalogue of expansive species in the Czech Republic, compare their functional traits and ecological strategies with non-expansive native species and provide a list of regions and habitats where they spread. We conducted a questionnaire survey, asking local experts to evaluate the expansive character of preselected species in 17 regions and 27 broadly defined habitat types (66 regional assessments). We critically revised these data and verified the distribution patterns. </p> <p><strong>This repository provides the data, original codes and outputs</strong> related to the paper Axmanová <em>et al</em>. 2024.</p> <p>Axmanová I., Chytrý K., Boublík K., Chytrý M., Dřevojan P., Ekrtová E., Fajmon K., Hájková P., Härtel H., Hejda M., Horáková V., Jongepier J.W., Kalníková V., Kaplan Z., Koutecký P., Lustyk P., Pergl J., Prach K., Pyšek P., Sádlo J., Vojík M. & Těšitel J. (2024) <strong>Catalogue of expansive plants of the Czech Republic</strong>. – Preslia 95: 299–327. </p> <p>DOI: 10.23855/preslia.2024.299</p> <p> </p> <p> </p>
Non-targeted metabolomics-based molecular networking enables the chemical characterization of Rumex sanguineus, a wild edible plant
<p>This dataset delves into the chemical composition of Rumex sanguineus employing non-targeted metabolomics and Feature-Based Molecular Networking (FBMN), with compound annotation facilitated by SIRIUS. Utilizing UHPLC-HRMS, we conducted comprehensive analyses on samples extracted from Rumex roots, stems, and leaves, further enhancing our insights through molecular networking.</p>
Dataset for "Effects of drought on carbonyl sulfide exchange in four plant species"
<p>Additional funding:</p> <p><span>Tyrolian Science Fund (UNI-404/2318)</span></p> <p><span>FWF I03859</span></p>
GloHydroRes - a global dataset combining open-source hydropower plant and reservoir data
<div> <div> <div> <div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <div> <p>Analyzing the impacts of drought and climate change on hydropower requires detailed data not only on hydropower attributes such as plant type, head, and installed capacity, but also on reservoir characteristics like area, depth, and volume. Current open-source hydropower datasets typically lack information on reservoirs, while reservoir datasets often omit hydropower details. GloHydroRes is a global dataset that integrates open-source hydropower and reservoir data, offering 29 attributes, including key information such as installed capacity, plant type, dam height, reservoir depth, area, volume, and river name. Overall, GloHydroRes provides data on 7,775 hydropower plants across 128 countries.</p> </div> </div> </div> </div> <div> <div> <div> </div> </div> </div> </div> </div>
Chromosome Numbers and Reproductive Life Cycles in Green Plants: A phylo-transcriptomic perspective
<p>The supplemental dataset for "Chromosome Numbers and Reproductive Life Cycles in Green Plants: A phylo-transcriptomic perspective."</p>
Data From: Oatk - a de novo assembly tool for complex plant organelle genomes
<p>This reposity hosts the data for 195 plant organelle genome assemblies generated in the manuscript "Oatk: a de novo assembly tool for complex plant organelle genomes". The sequence data were produced by the Tree of Life programme at the Sanger Institute, mostly from the Darwin Tree of Life (DToL) project, including 24 monocots, 154 eudicots, 16 mosses and one liverwort. See SAMPLE_LIST file for descriptions of these species.</p> <p>In each species subfolder, below files are included.</p> <ol> <li><code>PLTD.fasta</code> Plastome assembly file in FASTA format</li> <li><code>PLTD.annot.bed</code> Plastome assembly annotation file in BED format</li> <li><code>MITO.fasta</code> Mitogenome assembly file in FASTA format</li> <li><code>MITO.annot.bed</code> Mitogenome assembly annotation file in BED format</li> <li><code>MBG.gfa</code> Genome assembly file in GFA format generated with MBG</li> <li><code>PMAT.gfa</code> Genome assembly file in GFA format generated with OATK</li> <li><code>OATK.gfa</code> Genome assembly file in GFA format generated with PMAT (may not exist)</li> </ol> <p> </p> <p>Updates in the New Version:</p> <p>In the previous version, our raw PacBio HiFi read pre-processing pipeline had screened out some reads that it erroneously thought contained HiFi adapter sequence, which led to the gaps in the Hibiscus plastomes. We now fixed this and have rerun all the assemblies that led to any linear organelle components (37 species). All plastomes remain unchanged except for the three Hibiscuses, which are now also circular. Thirteen mitogenomes changed, with six of them now becoming circular.</p>
Abiotic conditions along altitude shape plant-fungal associations by influencing both fungal availability and association strength
<p>These files contains the description of the data and scripts to reproduce the analyses of:<br>"Abiotic conditions along altitude shape plant-fungal associations by influencing both fungal availability and association strength" which can be found here: <a href="https://doi.org/10.1111/1365-2745.70075">https://doi.org/10.1111/1365-2745.70075</a></p> <p>As detailed in the study, the data consist of fungal DNA data from ten high and low <em>Bistorta vivipara </em>populations across Fennoscandia. Species-level fungal OTUs have been identified applying ITS2-based metabarcoding to the different parts of the focal plant <em>B. vivipara </em>(bulbils, leaves and roots) and its surrounding soil and leaves of surrounding plants. In total, the data contains data on 253 fungal OTUs across 641 sampling units.</p> <p>The README file describes the contents of the metadata and explains how the scripts are to be run in order to reproduce the results of the study.</p> <p> </p>
Questionnaire on COVID pandemic influence at attitude and prevalence of plant-based food products consumption in Serbia
<p>An anonymous online questionnaire that contained 16 open-ended and closed-ended questions was used to assess the influence of the COVID-19 pandemic on 1) eating behavior and dietary habits changes concerning various plant-based foods; 2) frequency of consumption of herbal teas and dietary supplements; 3) quantity of traditionally pickled plant-based food prepared for the winter period, and 4) the general attitude toward diet, plant-based food, natural products, and dietary supplements.</p> <p> </p>
Morphological trait matching in plant–Hymenoptera and plant–Diptera mutualisms across an elevational gradient
<p>Morphological trait-matching and species abundance are thought to be the main factors affecting the frequency and strength of mutualistic interactions. However, the relative importance of trait-matching and species abundance in shaping species interactions across environmental gradients remains poorly understood, especially for plant–insect mutualisms involving generalist species.</p> <p>Here, we characterised variation in species and trait composition and the relative importance of trait-matching and species abundance in shaping plant–Hymenoptera and plant–Diptera mutualisms in four meadows across an elevational gradient (2,725–3,910 m) in Yulong Snow Mountain, Southwest China. We also evaluated the effects of morphological traits of flower visitors and plant composition on their foraging specialisation (d' and normalised degree).</p> <p>There was a high degree of dissimilarity in the composition of Hymenoptera and Diptera visitors and their visited plants between communities. This variation was mainly driven by the spatial replacement of species. Both for plant–Hymenoptera and plant–Diptera networks, trait-matching between nectar tube depth and proboscis length was a stronger predictor of the interactions between temporally co-occurring plants and flower visitors than species abundance. Fourth-corner analyses revealed statistically significant trait-matching between nectar tube depth and proboscis length in plant–Hymenoptera networks at all sites, suggesting that Hymenoptera consistently foraged on plant species with nectar tube depths matching their proboscis lengths. By contrast, significant trait-matching in plant–Diptera networks was only observed at the two lower elevation sites. The species-level specialisation d' of flower visitors increased significantly as the proboscis length and the difference in nectar tube depth between the plant community and the plants visited by flower visitors increased.</p> <p>Our results highlight that the importance of trait-matching in shaping pairwise interactions and niche partitioning depends on the specific features (e.g. species composition and trait availability) of the plant-pollinator system. For specialised plant-Hymenoptera systems, trait-matching is an important determinant of species interactions, whereas for generalist plant-Diptera systems, trait-matching is relatively unimportant.</p>
Edaphic heterogeneity and the evolutionary trajectory of Amazonian plant communities
<p>Fern community data.</p>
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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)
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.