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22,710 results for “Plant”
Comparative Study of Entomotoxicity of Three Medicinal Plant Extracts against Sitophilus oryzae
<p>The Sitophilus oryzae is the most widespread and destructive primary stored cereals and grain pest in the world. The major effect of Sitophilus oryzae on an infestation by the feeding activity of grubs and adults and increasing the secondary growth of pests by making conditions optimum for optimum and further infestation. Plant extracts Azadirachta indica, Osmium Sanctum, and Mentha piperita were evaluated for Entomotoxicity such as repellency, adulticidal and larvicidal effect against Sitophilus oryzae. The Entomotoxicity of plant extracts expressed in percentage and Repellency were also expressed in class repellency with class 1, class 2, Class 3, Class 4, and class 5.TheRepellency with 80% of Class 4, Adulticidaland larvicidal percentage with 100 % of Azadirachta Indica and Adulticidal highest Entomotoxicity effect than Osmium sanctum and Mentha piperita</p>
Plant image identification application demonstrates high accuracy in Northern Europe dataset
<p><strong>Images and data for the study "Plant image identification application demonstrates high accuracy in Northern Europe"</strong></p> <p><strong>Details: Jaak Pärtel, Meelis Pärtel, Jana Wäldchen, Plant image identification application demonstrates high accuracy in Northern Europe, <em>AoB PLANTS</em>, Volume 13, Issue 4, August 2021, plab050, <a href="https://doi.org/10.1093/aobpla/plab050">https://doi.org/10.1093/aobpla/plab050</a></strong></p> <p>The data table displays Flora Incognita's identification results together with species and observations characteristics. All (3199) used images are included.</p> <p>The study was conducted in two parts: database and field study.</p> <p>Database study images have been taken from eBiodiversity database (https://elurikkus.ee/en) under Creative Commons Attribution 4.0 International (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). Please cite the original source for the images as well when using the dataset.</p> <p>Field study images were taken by Jaak Pärtel in 2020 in field conditions from different habitats across Estonia.</p>
Role of information in consumers' preferences for eco-sustainable genetic improvements in plant breeding - DATASET
<p>Data-set and variables description related to the paper titled “Role of information in consumers’ preferences for eco-sustainable genetic improvements in plant breeding“, by Massimiliano Borrello, Luigi Cembalo, Riccardo Vecchio. PLOS-ONE, 2021. DOI: 10.1371/journal.pone.0255130</p>
plant diversity and terrain covariates at OAL-UK
<p>dataset containing information on plant diversity and terrain covariates retrieved from the slopes OAL-UK. Samples were collected using 1 m2 quadrants following a stratified random sampling approach. The data set casts light on the relationship between shallow landslides, terrain covariates and plant diversity. The data set is linked to the following publication <a href="https://doi.org/10.1007/s10346-017-0822-y">https://doi.org/10.1007/s10346-017-0822-y</a></p>
Trellis-forming stems of a tropical liana Condylocarpon guianense (Apocynaceae): a plant-made safety net constructed by simple "start-stop" development
<p>Data supporting article describing mechanical and structural organisation of a climin g plant trellis system sin the tropical rainforest of French Guiana</p> <p>Tropical vines and lianas have evolved mechanisms to avoid mechanical damage during their climbing life histories. We explore the mechanical properties and stem development of a tropical climber that develops trellises in tropical rain forest canopies. We measured the young stems of <em>Condylocarpon guianensis</em> (Apocynaceae) that construct complex trellises via self-supporting shoots, attached stems and unattached pendulous stems. The results suggest that in this species there is a size (stem diameter) and developmental threshold at which plant shoots will make the developmental transition from stiff young shoots to later flexible stem properties. Shoots that do not find a support remain stiff, becoming pendulous and retaining numerous leaves. The formation of a second TYPE II (lianoid) wood is triggered by attachment, guaranteeing increased flexibility of light-structured shoots that transition from self-supporting searchers to inter-connected net-like trellis components. The results suggest that this species shows a “hard-wired” development that limits self-supporting growth among the slender stems that make up a liana trellis. The strategy is linked to a stem-twining climbing mode and promotes a rapid transition to flexible trellis elements in cluttered densely branched tropical forest habitats. These are situations that are prone to mechanical perturbation via wind action, tree falls and branch movements. The findings suggest that some twining lianas are mechanically fine-tuned to produce trellises in specific habitats. Trellis building is carried out by young shoots that can perform very different functions via subtle development changes in order to ensure a safe space occupation of the liana canopy.</p>
Synthetic memory circuits for stable cell reprogramming in plants
<p>The data supporting the publication: Synthetic memory circuits for stable cell reprogramming in plants</p>
Morpho-anatomical traits explain the effects of bacterial-feeding nematodes on soil bacterial community composition and plant growth and nutrition
<p>Soil Bacterial populations</p> <p>V3-V4, of the 16S rRNA gene using the primers 341F CCTAYGGGRBGCASCAG and 806R GGACTACNNGGGTATCTAAT.</p>
Methane losses from different biogas plant technologies
<p>This dataset and R code supplement the publication "Methane losses from different biogas plant technologies" by Wechselberger et al. (2023).</p> <p>The dataset contains primary and secondary data underlying the reported emission factors. By using the R code, emission factors are calculated as published.</p> <p>Available files:</p> <ul> <li>Glossary.csv (column/variable descriptions of dataset)</li> <li>Wechselberger_et_al_2023_data.csv (dataset)</li> <li>Wechselberger_et_al_2023_R_code.Rmd (code for calculating the emission factors reported in Table 2 of the publication)</li> <li>Wechselberger_et_al_2023_data_supplement.zip (containing all of the files above)</li> </ul> <p>Version v2 contains the final reference to the publication Wechselberger et al. (2023). The data are the same as in version v1.</p>
Data on the Netherlands and United Kingdom's Citizens Juries on New Plant Breeding Techniques
<p>This dataset contains the codebooks, code references, and code items for the Netherlands and United Kingdom citizens' juries on new plant breeding techniques. </p> <p>The main folders 01_NLJury_Codes & codebook and 02_UKJury_Codes contain the data for the Netherlands and United Kingdom citizens' juries and the codebook respectively. The juries were four days long and each main folder has four sub-folder which contains the code references and code items for each day of the citizens' jury. Both the main folders also contain a Word document that provides the codebooks for the respective citizens' jury. </p> <p> </p>
Fruit-bearing plant species observations in Brazilian cities
<p>This data set, extracted from iNaturalist, compiles observations from the capitals of all 27 Brazilian federative units and specifically focuses on the species listed on https://doi.org/10.5281/zenodo.10212850. A backup of this data set was obtained from iNaturalist on August 22nd, 2023. The dataset features 47 columns, capturing details such as observation time, location, license, and taxonomic identification. It provides an extensive taxonomic breakdown, covering classifications from kingdom and phylum down to species, subspecies, and variety (in some cases). </p>
Species and groundcover of understory herbaceous plants in a chronosequence of reforested urban sites, Lexington, KY USA
This dataset contains information on understory plant communities in across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.008-ha (0.02-ac) circular sampling plot to survey understory plant species. Groundcover of all species, excepting tree- and shrub-forming species, was visually estimated in 10 grids, 0.6 m x 0.6 m. These data will contribute to understanding of understory plant community dynamics in developing urban forests.
Plant aboveground biomass data: BAC: Biodiversity and Climate (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cdr/386/8. The abstract below was extracted from the Level 0 data package and is included for context: Climate changes forecast for our region by GCM???s and shifts in biodiversity and composition each have the potential to alter ecosystem functioning; their interactive effects are unknown. The "BAC" experiment is designed to determine the direct and interactive effects of plant species numbers, plant community composition, temperature, and precipitation on 11 productivity, C and N dynamics, stability, and plant, microbe, and insect species abundances in CDR grassland ecosystems.
The recovery of plant community composition following passive restoration across spatial scales, Cedar Creek Ecosystem Science Reserve, 1983-2016
1. Human impacts have led to dramatic biodiversity change which can be highly scale-dependent across space and time. A primary means to manage these changes is via passive (here, the removal of disturbance) or active (management interventions) ecological restoration. The recovery of biodiversity, following the removal of disturbance is often incomplete relative to some kind of reference target. The magnitude of recovery of ecological systems following disturbance depend on the landscape matrix, as well as the temporal and spatial scales at which biodiversity is measured. 2. We measured the recovery of biodiversity and species composition over 27 years in 17 temperate grasslands abandoned after agriculture at different points in time, collectively forming a chronosequence since abandonment from one to eighty years. We compare these abandoned sites with known agricultural land-use histories to never-disturbed sites as relative benchmarks. We specifically measured aspects of diversity at the local plot-scale (α-scale, 0.5m2) and site-scale (γ-scale, 10m2), as well as the within-site heterogeneity (β-diversity) and among-site variation in species composition (turnover and nestedness). 3. At our α-scale, sites recovering after agricultural abandonment only had 70% of the plant species richness (and ~30% of the evenness), compared to never-ploughed sites. Within-site β-diversity recovered following agricultural abandonment to around 90% after 80 years. This effect, however, was not enough to lead to recovery at our γ-scale. Richness in recovering sites was ~65% of that in remnant never-ploughed sites. The presence of species characteristic of the never disturbed sites increased in the recovering sites through time. Forb and legume cover declines in years since abandonment, relative to graminoid cover across sites. 4. Synthesis. We found that, during the 80 years after agricultural abandonment, old-fields did not recover to the level of biodiversity in remnant never-plough
Understory plant community data from repeated plot sampling (1978-2019) in old-growth northern hardwood forest, northern Michigan (Dukes RNA, Hiawatha National Forest)
This data-set includes long-term, permanent-plot-based data for understory plant communities in old-growth mixed northern hardwood-hemlock forest and forested peatland in the Upper Great Lakes region. Data for over 900 understory quadrats (all associated with long-term canopy data from larger permanent plots) included multiple (2-5) remeasurements over 23-40 years, with longest periods and most remeasurements for upland forest types. The Dukes Research Natural Area (RNA) (https://www.fs.usda.gov/research/nrs/rnas/locations/dukes) in the Hiawatha National Forest (Marquette Co., MI) includes ca. 100 ha of largely unlogged, original forest. Publications cited below include more detailed information about the site. About half of the RNA supports upland forests intergrading from hemlock (Tsuga candensis) dominance to mixtures of hemlock and northern hardwoods species. Sugar maple (Acer saccharum) is dominant over much of the upland area, with, locally, significant admixtures of beech (Fagus grandifolia), yellow birch (Betula alleghaniensis), and red maple (Acer rubrum). Topographic relief is very slight with total elevational change within the RNA only about 10 m. The stand is within a few km of the western limit of the continuous range of beech. In 1935, 248 continuing forest inventory (CFI) plots (circular, 0.2 acre) were established on a regular grid throughout the RNA, and these have been the subject of repeated sampling through 2018-2019 and support continuing long-term study addressing canopy tree communities (canopy data to be deposited in a separate project). Examples of resulting publications are cited elsewhere in metadata, and can provide more detailed information about the RNA. In 1978-80, U.S. Forest Service researchers, directed by Jan Schultz and Frederick Metzger, initiated studies of understory communities, including herbaceous species and woody seedlings. Data were derived from four sub-quadrats within each of the CFI plots. These quadrats were re-estab
Seedling emergence and biomass data of nine dryland plant species characterizing the impact of soil residual auxin herbicide across two soil types and water pulse events on greenhouse growth; Las Cruces, New Mexico, Spring 2021.
Synthetic-auxin herbicides are often used to control woody plants and aid in grassland restoration. Seed-based restoration is common alongside herbicide applications and there may be unintended effects of these herbicides on dryland plant species at the seed and seedling stages. Additionally, abiotic conditions at the time of herbicide application may influence herbicide-soil-plant interactions. We conducted a greenhouse study to examine the effects of a common shrub-control herbicide mix and its interaction with soil type and a post-herbicide water pulse on common desert plant seeds and seedlings. In this greenhouse study, we found that a subset of species responded negatively to soil residual herbicide activity of a mixture of aminopyralid, clopyralid, and triclopyr at the seed and seedling stages. Species sensitive to soil herbicide residues were primarily shrub and forb species that are often the target species of herbicide applications for woody plant control, such as Prosopis glandulosa (honey mesquite) and Larrea tridentata (creosote bush). However, two shrub species (Atriplex canescens [four-wing saltbush] and Yucca elata [soaptree yucca]) and one perennial grass species (Digitaria californica [Arizona cottontop]), which are used in dryland restoration projects, were found to be particularly sensitive to soil residual herbicide activity. Thus, if using these herbicides to control woody plants and restore herbaceous vegetation via active seeding or relying on the in situ seed bank, considerations should be given to what species are used in the seed mix, what species are already present in the soil seed bank, and other details of the circumstances of herbicide application.
Ecological memory effects on plants and soils in early post-fire steppe, Barton Ecological Research Area, Pocatello, Idaho, 2021
In many regions of the world, wildfires are becoming more frequent due to the invasion of exotic grasses that are highly flammable and often replace native plants as burned landscapes regrow. To prevent invasive species from dominating post-burn landscapes, land managers are increasingly applying seeds of native plants to suppress invasive plants and encourage ecosystem recovery. However, there is still much to learn about the ability of seeded species to establish and suppress flammable invaders. It is also unclear how previous human-caused landscape changes, such as nitrogen pollution or the removal of shrubs (a common practice in western USA rangelands), affect the success of native seed additions and plant recovery from fire. This study addresses these issues by building on a long-term experiment investigating the legacy effects of past nitrogen pollution and shrub removal in a highly invaded sagebrush steppe ecosystem at Idaho State University’s Barton Ecological Research Area in Pocatello, ID. This experiment burned in a wildfire in August, 2020, providing a unique opportunity to evaluate how a history of nitrogen pollution and shrub removal influences plant recovery from wildfire. We developed three native seed mixes intended to suppress invasive plants, particularly flammable annual grasses, and in April, 2021, we sowed the experimental mixes into research plots within the original experiment. To measure the initial effects of the experimental seed additions and the legacy effects of previous nitrogen pollution and shrub removal, we collected the data provided here during the summer of 2021, the first growing season following the wildfire. We established 240 monitoring quadrats (1 m²) within the original experiment, dividing the quadrats between areas where shrubs had formerly been (evidenced by stumps) and intershrub areas. At a microhabitat scale, the presence of shrubs alters soil properties and can create legacy effects after shrub death, and we were int
Understory percent cover, plant traits, canopy LAI, PAR, temperature, and soil moisture data at multiple time points for sites in the burn chronosequence and Indian Point forest at the University of Michigan Biological Station, Pellston, MI (2022-2023)
Community ecology has sought to understand the mechanisms by which plant communities are assembled through time and space. One prominent way to address how communities are assembled is by quantifying functional traits. While there is a tremendous body of literature on functional traits, debate persists about how to account for variation in measured traits. For example, intraspecific trait variation (ITV) can be equal to or greater than interspecific trait variation and ITV has also been found to vary greatly across years. Therefore, there is a need to account for variability in functional trait measures among and within species and through time to improve our understanding of community assembly. Chronosequences are a powerful tool to address temporal changes in community dynamics, however, the inclusion of understory plants in forest chronosequence studies is still relatively uncommon. Previous chronosequence studies have been primarily performed in grasslands or in a limited subset of forest types, so further work is needed in understory plant traits across other ecosystems and climates to improve trait-based understanding of understory plant communities through time. Additionally, because plant traits change as ecosystems age, community interactions are likely to change with ecosystem age. Interactions of particular interest are herbivory, arthropod predation, and the influence of plant traits on arthropod diversity.
Pitcher plant herbivory experimental data at the University of Michigan Biological Station, Pellston, MI 2024-2025
Coping with low-nutrient environments has led to the repeated evolution of plant carnivory. Given the repeated evolution of carnivory as well as the facultative nature of this otherwise costly trait, why are carnivorous plants not more speciose in wet, sunny, nutrient-poor sites? Recent evidence suggests herbivores may play an important role in limiting the success of plants with specialized nutrient acquisition strategies (e.g. nitrogen-fixing bacterial associates), as herbivores are drawn to more nutrient-rich plant tissue. To test this hypothesis in carnivorous plants, we conducted a factorial herbivore exclusion and prey addition experiment on Sarracenia purpurea, the purple pitcher plant. Specifically, we examined whether 1) plant growth rate is maximized at intermediate levels of prey intake, and 2) if this pattern is caused by preferential consumption by herbivores of plants with high nutrient intake. To test these hypotheses, we measured plant growth and herbivore damage on 110 pitcher plants (Sarracenia purpurea) growing at Mud Lake Bog near UMBS from June to August 2024. To measure effects of stored nutrients on plant growth and herbivory, we plan to collect 2nd year early season growth data in June of 2025.
The fate of a plant defense mutualism in a warming world at the University of Michigan Biological Station, Pellston, MI (2024-2026)
Mutualisms are vital to plant survival and reproduction, but climate warming has the potential to alter these interactions. One such mutualism involves foliar mites, which provide plants with defense by consuming harmful fungi. In exchange, plants offer protective structures on their leaves called domatia. Both mite and fungal communities are potentially temperature-sensitive, and warming may shift community composition, potentially altering trophic interactions between botch groups. However, the specific changes in mite and fungal community composition and their implications for plant-mite mutualism and plant performance remain unclear. To investigate the responses of both of these communities to warming, and the effects these changes will have on plants, I conducted a nested factorial field experiment with 96 P. serotina seedlings at the University of Michigan Biological Station. Plants were warmed using open top chambers, nested within which were fully factorial manipulations of the mite and fungal communities. Each group was manipulated using either pruning tar to exclude mites or Quilt fungicide to exclude fungi.
Compost Amendments up to One Inch Restore Dry Rangeland Soil Health and Plant Productivity in New Mexico, 2020-2022
Dry rangelands are important systems for coproducing food and other ecosystem services, but degradation of productivity, diversity, and water holding capacity may require active intervention to restore. Use of compost amendments on grasslands has been shown to improve many outcomes related to carbon, water, and nutrients unless excessive amounts are used, but practitioners lack guidance of optimal and cost-effective use to meet their management goals. We compared compost additions from 0-2.54 cm at two ranches in New Mexico and measured plant composition and biomass, soil characteristics such as bulk density, infiltration rate, aggregate stability, and total carbon content under baseline conditions and one- and two years after addition.
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.