Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
22,710
datasets available to search
ShareScore release 0.9.0
Dataset results
22,710 results for “Plants for planting”
Vascular Plant Recording Cards - Vice County 110 Outer Hebrides, Scotland - Field Notes - 2016
<p>Scans of original field recording cards of vascular plants for Vice County 110 Outer Hebrides, Scotland collected during 2016 season.</p>
Vascular plant recording cards - Vice County 110 - Scotland - Field Notes - 2015
<p>Scans of original field recording cards collected in Vice County 110 Outer Hebrides, Scotland during 2015 field season. </p>
Dataset supporting Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants
<p>Executable benchmarks and result data set for the experimental evaluation in our publication "Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants" published at Hybrid Systems: Computation and Control (HSCC) 2017.</p> <p> </p> <p>Abstract:</p> <p>Modern control is implemented with digital microcontrollers, embedded within a dynamical plant that represents physical components.</p> <p>We present a new algorithm based on counter-example guided inductive synthesis that automates the design of digital controllers that are correct by construction. The synthesis result is sound with respect to the complete range of approximations, including time discretization, quantization effects, and finite-precision arithmetic and its rounding errors.</p> <p>We have implemented our new algorithm in a tool called DSSynth, and are able to automatically generate stable controllers for a set of intricate plant amodels taken from the literature within minutes.</p>
SMART-Plant project flyer (H2020)
<p>Scale-up of low-carbon footprint <strong>MA</strong>terial <strong>R</strong>ecovery <strong>T</strong>echniques in existing wastewater treatment <strong>PLANT</strong>s</p> <p>SMART-plant aims to support the water sector to improve and ensure environmental protection, become more adaptive, and respond to contemporary environmental and societal challenges by introducing innovative technological solutions, moving towards resource recovery approaches in wastewater management.</p> <p>SMART-plant will scale-up and demonstrate eco-innovative solutions to upgrade existing WWTPs. Nine pilot low-carbon footprint systems will be applied in the real environment, in five different wastewater treatment plants with the aim of optimizing wastewater treatment, resource recovery, energy-efficiency and reduction of greenhouse gas emissions. Through these processes, a comprehensive portfolio comprising of biopolymers, cellulose, fertilizers and intermediates will be recovered and processed up to the final commercial end products.</p> <p>The SMART-Plant project promotes the energy efficient wastewater resource recovery concept, through the technology platform developed within existing plants to eventually prompt the development of new products and business opportunities.</p> <p>Global market deployment will be achieved as the right fit solution for water utilities and relevant industrial stakeholders, considering the strategic implications of the resource recovery paradigm in case of both public and private water management. New public-private partnership models will be explored connecting the water sector to the chemical industry and its downstream segments such as the construction and agricultural sector, thus generating new opportunities for funding, as well as potential public-private competition.</p> <p> </p> <p> </p>
CALLISTO-SPK: A Stochastic Point Kinetics Code for Performing Low Source Nuclear Power Plant Start-up and Power Ascension Calculations Data Repository
<p>This dataset provides data to accompany the submission named "CALLISTO-SPK: A Stochastic Point Kinetics Code for Performing Low Source Nuclear Power Plant Start-up and Power Ascension Calculations" which has been submitted to Annals of Nuclear Energy. Details of the file included may be found in the readme file.</p>
Summary statistics of North American plant populations
<p>Summary statistics of North American plant populations calculated by using the microsatellites of invasive and native species from multiple studies. The packages “hierfstat” (Goudet and Jombart, 2015), “vegan” (Oksanen <em>et al.</em>, 2017) and “sp” (Pebesma and Bivand, 2005; Bivand <em>et al.</em>, 2013) were used in RStudio to calculate the averaged heterozygosity over all subpopulations (<em>H</em><sub>S</sub>), the proportion of genetic variation due to differences among populations (<em>F</em><sub>ST</sub>p), the degree of non-random mating within subpopulations (<em>F</em><sub>IS</sub>) and the correlation between geographic and genetic distance (<em>r)</em>. STRUCTURE (Pritchard <em>et al.</em>, 2000) was used to calculate the number of genetic clusters (<em>K)</em> (5 iterations, burnin length 1000, 10000 MCMC reps after burnin). STRUCTURE HARVESTER (Earl & vonHoldt, 2012) was consulted to determine Evanno’s ΔK (Evanno <em>et al.</em>, 2005).</p>
Plant species distribution survey and its explanatory variables
<p>Ten common herbaceous species were selected based on a survey of a 6.4-km² upstream catchment named « Bourdic » in southern France. Approximately 74 % of the catchment is agricultural (mainly vineyards), and 26 % is semi-natural (mainly woodlands and shrubs). The catchment has a Mediterranean climate with heavy rainfalls causing significant Hortonian runoff. The mean annual temperature is 14°C, and precipitation ranges from 600 to 800 mm per year with a drier period from March to October. Annual potential evapotranspiration is about 1100 mm. The altitude ranges from 55 a.s.l. at the outlet at the northeast to 128 m a.s.l. at the northwest.</p> <p>The surveys were conducted in July-August 2013 according to a non-destructive sampling procedure using GPS with an Android self-developed application; this enabled a location accuracy of 2 m. Agricultural ditches, including roadside ditches, were part of the study. Thirty-five kilometres of the drainage network (46%) were surveyed for presence/absence of the species. The remaining ditches were excluded from the analysis because surveying them was impractical or because recent management practices impaired species identification. After the survey, the georeferenced data were exported in a shapefile data format with line features.</p> <p>Also, explanatory variables of the dataset were reported, such as the geomorphological variables at the landscape scale that included the distance to the outlet (<strong>Doutlet</strong>), the drained surface area (<strong>Drain</strong>), the Multiresolution Index of Valley Bottom Flatness (<strong>Mrvbf</strong>), and the sun exposure of the slopes (<strong>Northness</strong>). The geomorphological variables at the local (ditch) scale were the slope (<strong>Slope</strong>) and solar radiation (<strong>Solar</strong>). All these variables are derived from a Digital Elevation Model (MNT) and a Digital Surface Model (MNS) taken in 2001 using an aerial lidar.</p> <p>We added also the distance to natural lands (<strong>Dnat</strong>) and distance to roads (<strong>Droad</strong>) on the basis of the manual classification of an orthophoto of the area taken in 2012.</p>
Rapid establishment of species barriers in plants compared to animals
<p><strong>fasta_sequences.zip: </strong>Plant datasets used for demographic inference in the "plants versus animals" comparison.<br>Each archive corresponds to a genus, with the exception of <em>Howea</em> and <em>Linospadix</em>, which are treated as a single dataset.<br>These archives contain at least one "<em>genus</em>_populations.fasta" file corresponding to the individual genotypes used for inferences.<br>Where required, there is also a "<em>genus</em>_reference.fasta" file corresponding to the reference used for read mapping.<br>All references used are coding sequences (CDS).</p> <p><strong>figures.zip: </strong>Figures of the article, produced by the script <em>scripts/figures_plants_animals.R</em> using data from <em>results/</em></p> <p><strong>results.zip:</strong> Include information about the different species pairs in plants and animals, such as the statistics used for demographic inferences, the results of these inferences, geographic distances, and the outcomes of the goodness-of-fit tests.</p> <p><strong>results_selfing_estimates_per_species.zip: </strong>Selfing rate estimates for surveyed plant species.</p> <p><strong>scripts.zip:</strong> R-script used to perform statistical analyses on data from the <em>results.zip</em> file and to generate the main and supplementary figures.</p> <p><strong>QuIBL_DILS.zip:</strong> Scripts, simulated datasets, and figures for the QuIBL and DILS comparison.</p> <p><strong>Auxiliary_Tables.ods: </strong>Auxiliary tables providing supplementary data and results supporting the analyses presented in the manuscript, including demographic inference statistics, selfing rate estimates, and geographic distance measurements</p> <p> </p> <p> </p> <p> </p>
Dataset of confocal microscopy - Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants
<p>This contains additional data relative to version 1, corresponding to a new versio of the manuscript. </p> <p>This data set contains confocal images (3D stacks and 2D projections) from propidium iodide stained <em>Arabidopsis thaliana </em>dark grown hypocotyls of various wildtype and mutant plants reported in the study "Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants" (https://www.biorxiv.org/content/10.1101/2024.11.26.625362v1). Data was acquired following method described in the publication.</p> <p> </p>
Data and code for "Competition contributes to quantitative mismatches between plant fitness and occurrence along environmental gradients"
<p>This repository contains data and code for the following manuscript: Hayashi, K. T., & Kraft, N. J. B. (2025). Competition contributes to quantitative mismatches between plant fitness and occurrence along environmental gradients. Journal of Ecology, 113, 2590–2602. <a href="https://doi.org/10.1111/1365-2745.70115">https://doi.org/10.1111/1365-2745.70115</a></p>
Dataset for paper "Interpreting the shifts in forest structure, plant community composition, diversity, and functional identity by using remote sensing-derived wildfire severity"
<p>Interpreting the shifts in forest structure, plant community composition, diversity, and functional identity by using remote sensing-derived wildfire severity . New collected data</p>
STEMMUS-SCOPE for PLUMBER2: A Physically Consistent Dataset Across the Soil-Plant-Atmosphere Continuum
<p>High-quality and long-term measurements of water, energy, and carbon fluxes between the land and atmosphere are critical for climate monitoring and land surface model (LSM) benchmarking. This dataset presents high-quality and long-term fluxes, and the corresponding above and below-ground hydrological, physiological, photosynthetic and radiative data derived from the STEMMUS-SCOPE model simulations for the PLUMBER2 project at 170 FLUXNET sites. The generated datasets by STEMMUS-SCOPE are in good agreement with quality in-situ measurements. Therefore, we recommend future applications of the datasets, for such as the detection and attribution of historical changes of fluxes and SM and associated extreme events, providing the initial and boundary conditions for atmospheric models, benchmarking various types of models, and monitoring drought risks. The published dataset can contribute to the development of earth system models in better representing land surface processes and land-atmosphere exchanges in forms of energy, water, and carbon.</p>
Hourly wind and solar generation profiles for every EIA 2020 plant in the CONUS
<p>Historical hourly time series of wind and solar generation profiles for every plant within the United States (US) that is part of the Energy Information Administration (EIA) 2020 dataset for the years 1980 through 2022. The data uses regional atmospheric climate model simulations and 2020 wind and solar power plant configurations across the entire contiguous US. This data is designed to be be aggregated to the Balancing Authority (BA) scale, or to other scales such as to the nodes of a production cost model which would allow the data to be used to perform reliability assessments and evaluations of technology innovation. There are ongoing efforts to extend this dataset for future climate projections, which additionally require the projection of future infrastructure under a wide range of uncertainties. This historical dataset is a benchmark for those projections and can be used to understand sensitivity to historical inter-annual variability, seasonality, and recent extreme events.</p> <p>For more information please refer to the <a href="https://www.nature.com/articles/s41597-024-03894-w">Scientific Data paper</a> and the <a href="https://github.com/GODEEEP/tgw-gen">code repository</a>.</p> <p>The dataset consists of two components:</p> <ul> <li>Plant configuration files - The plant configuration files (<code>eia_solar_configs.csv</code> and <code>eia_wind_configs.csv</code>) contain all the plant data that is relevant to a generation model, derived from EIA 860 2020 data. Each row corresponds to a single logical plant. In some cases actual plants were split into two logical plants for modeling purposes.</li> <li>Generation data files - The generation data resides in the <code>solar/</code> and <code>wind/</code> directories and consists of one file per year. Each year contains an 8760 (hourly) profile of generation for every plant. The first column in each csv file is the datetime in Coordinated Universal Time (UTC), and the subsequent columns correspond to the <code>plant_code_unique</code> column in the configuration files. Data in these generation files is expressed as a capacity factor, which is generation divided by the plant capacity. To obtain the actual Megawatts (MW) generated, multiply the capacity factor for a plant by the value in the <code>system_capacity</code> column from the respective configuration file.</li> </ul> <p>This research was supported under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p> <p>Version 1.1.0 adds bias corrected solar and extends the data through 2022</p> <p>Version 1.1.1 adds missing wind years 2021 and 2022</p> <p>Version 1.2.0 Extends the data through 2024</p> <p>Corresponding Author:</p> <ul> <li>Cameron Bracken, cameron.bracken@pnnl.gov</li> </ul>
Data from: Temperature alters the toxicological impacts of plant terpenoids on the polyphagous model herbivore Vanessa cardui
<p>Terpenes are a major class of secondary metabolites present in all plants, and long hypothesized to have diversified in response to specific plant-herbivore interactions. Herbivory is a major biotic interaction that plays out across broad temporal and spatial scales that vary dramatically in temperature regimes, both due to climatic variation across geographic locations as well as the effect of seasonality. In addition, there is an emerging understanding that global climate change will continue to alter the temperature regimes of nearly every habitat on Earth over the coming centuries. Regardless of source, variation in temperature may influence herbivory, in particular via changes in the efficacy and impacts of plant defensive chemistry. This study aims to characterize temperature-driven variation in toxicological effects across several structural classes of terpenes in the model herbivore Vanessa cardui, the painted lady butterfly. We observed a general increase in monoterpene toxicity to larvae, pupa, and adults at higher temperatures, as well as an increase in development time as terpene concentration increased. Results obtained from this study yield insights into possible drivers of seasonal variation in plant terpene production as well as inform effects of rising global temperatures on plant-insect interactions. In the context of other known effects of climate change on plant-herbivore interactions like carbon fertilization and compensatory feeding, temperature-driven changes in plant chemical defense efficacy may further complicate the prediction of climate change impacts on the fundamental ecological process of herbivory.</p>
Ground-dwelling invertebrates and plants following the application of inverted soil mounding on seismic lines
<p><span>In northern Alberta, Canada, much of treed boreal peatlands are fragmented by seismic lines – linear disturbances where trees and shrubs are cleared for the exploration of fossil fuel reserves. Seismic lines have been shown to have slow tree regeneration, likely due to the loss of microtopography during the creation of seismic lines. Inverted soil mounding is one of the treatments commonly applied in Alberta to restore seismic lines and to mitigate the use of these corridors by wildlife and humans. In 2018, we assessed the effects of mounding on understory plants and arthropod assemblages, three years after treatment application. We sampled in five mounded and five untreated seismic lines, and in their adjacent treed fens (reference fens) within the <span>Canadian Natural Resources Ltd (CNRL) Kirby South in-situ steam-assisted gravity drainage (SAGD) Plant, in the Athabasca oil sands (55°22'37.2" N, 111°10'3" W) of NW Alberta</span>. Here we provide the species composition at these sites.</span></p>
Data from: Plant biodiversity responds more strongly to climate warming and anthropogenic activities than microbial biodiversity in the Qinghai-Tibetan alpine grasslands
<p>Biodiversity serves as the fundamental underpinning for ecosystem functions and services. As a result of human-induced global change, there is a growing awareness of the substantial alterations in terrestrial aboveground biodiversity, particularly within alpine regions. However, it remains uncertain whether belowground biodiversity will exhibit similar responses, both in terms of magnitude and manner, to anthropogenic global changes as aboveground biodiversity.</p> <p>Here, we conducted a meta-analysis to assess the impacts of warming, nutrient addition, and grazing on plant and soil microbial biodiversity in alpine grasslands on the Qinghai-Tibetan Plateau, which are known to be climate-sensitive and vulnerable. The analysis included 819 experimental observations from 152 studies, focusing on species richness, Shannon diversity, and Pielou's evenness.</p> <p>We found that plant biodiversity exhibited greater sensitivity to climate warming and anthropogenic activities compared to soil microbial biodiversity. Specifically, plant richness and Shannon diversity were reduced by warming and nutrient addition, while plant evenness was increased by grazing. However, only microbial richness was increased by grazing and microbial evenness was increased by warming slightly.</p> <p>The responses of biodiversity to climate warming and anthropogenic activities were modulated by multiple factors. Specifically, the negative effects of warming on plant biodiversity were more pronounced in long-term experiments under warmer or drier environmental conditions. The negative effects of nitrogen addition on biodiversity were enhanced by the intensity and duration of nitrogen treatment. Appropriate intensity and frequency of grazing were beneficial to sustaining plant biodiversity. Soil microbial biodiversity was weakly regulated, where bacterial Shannon diversity was more sensitive to nutrient addition, while fungal species richness was sensitive to grazing.</p> <p><strong>Synthesis: </strong>Our findings reveal a mismatch between aboveground plant and belowground microbial biodiversity in response to climate warming and anthropogenic activities in alpine grasslands, with plant biodiversity being more sensitive. In the context of future global change, plant biodiversity may be at greater risk than soil microbial biodiversity. In addition, biodiversity responses of different experimental and environmental conditions should be distinguished, and more attention is needed on biodiversity conservation in alpine steppe, or areas with warmer and drier environmental conditions, high-intensity fertilization or heavy grazing. </p>
The effects of water-stress, temperature, and plant traits on the outbreak potential of a specialist and generalist spider mite species (Acari: Tetranychidae)
<p>The host-generalist two-spotted spider mite [<em>Tetranychus</em> <em>urticae</em> (Acari: Tetranychidae); TSM] and host-specialist Banks grass mite [<em>Oligonychus</em> <em>pratensis</em> (Acari: Tetranychidae); BGM] are common pests of corn (<em>Zea</em> <em>mays</em> L.) in the arid western United States. Climate warming and decreased precipitation may promote conditions favored by these spider mites. However, rapid evolution of spider mite resistance to commercially available acaricides is driving the need for alternative solutions for managing outbreaks. Planting of drought-tolerant corn hybrids has been proposed to be a dual-purpose strategy for mitigating water deficits for irrigation and reducing leaf conditions favorable for BGM outbreaks. However, understanding of the mechanisms responsible for reducing the BGM in the field is lacking, and determining whether outbreaks of the TSM can also be averted using drought-tolerant corn is a pressing concern. We conducted a two-year field study testing a drought-tolerant corn hybrid and an analogous drought-susceptible hybrid under water-stress with artificially-infested spider mite populations. Drought-tolerant corn had larger stem diameter, more massive cobs, and greater leaf water mass compared to the drought-susceptible corn under water stress. We also found that the BGM populations were reduced on drought-tolerant plants under water-stress, as expected, but we found an opposite trend in the TSM. Lastly, water-stressed leaves were warmer, transpired less, and had higher carbon concentration, which contributed to larger investment in eggs and growth in the BGM. We anticipate that further evaluation of irrigation and crop drought-tolerance in management of agriculture systems for multiple pest species will be increasingly impactful in arid regions.</p>
Higher vascular plant abundance associated with decreased ecosystem respiration after 20 years of warming in the forest-tundra -ecotone
<p><span>The ongoing climate warming is promoting shrub abundance in high latitudes, but the effect of this phenomenon on ecosystem functioning is expected to depend on whether deciduous or evergreen species increase in response to warming. </span></p> <p><span>To explore effects of long-term warming on shrubs and further on ecosystem functioning, we analyzed vegetation and ecosystem CO<sub>2</sub> exchange after 20 years of warming in the forest-tundra ecotone in sub-arctic Sweden. A previous study conducted nine years earlier had found increased evergreen <em>Empetrum</em> <em>nigrum</em> ssp. <em>hermaphroditum</em> in the forest and increased deciduous <em>Betula</em> <em>nana</em> in the tundra. </span></p> <p><span>Following current understanding, we expected a continued increase in shrub abundance that would be stronger in tundra than in forest. We expected warming to increase ecosystem respiration (</span><span>R<sub>e</sub></span><span>) and gross primary productivity (GPP), with a greater increase in </span><span>R<sub>e </sub>in tundra due to increased deciduous shrub abundance, leading to a less negative net ecosystem exchange (NEE) and reduced ecosystem C sink strength. </span></p> <p><span>As predicted, vascular plant abundances were higher in the warmed plots with a stronger response in tundra than in forest. </span><span>However, whereas <em>B. nana</em> had increased in abundance since the last survey, <em>E. hermaphroditum </em>abundance had declined due to several moth and rodent outbreaks during the past decade. </span><span>I</span><span>n contrast to predictions, </span><span>R<sub>e </sub>was significantly lower in the warmed plots irrespective of habitat, and GPP increased marginally only in the forest. The lower R<sub>e</sub> and a higher GPP under warming in the forest together led to increased net C sink. </span><span>R<sub>e </sub>was negatively associated with the total vascular plant abundance.</span></p> <p><span>Our results highlight the importance of disturbance regimes for vegetation responses to warming. </span><span>Climate warming may promote species with </span><span>both a high capacity to grow under warmer conditions and a resilience towards herbivore outbreaks. Negative correlation between R<sub>e</sub> and total vascular plant abundance further indicates that t</span><span>he </span><span>indirect impacts of increased plants on soil microclimate may become increasingly important for ecosystem CO<sub>2</sub> exchange </span><span>in the long </span><span>run</span><span>, </span><span>which adds to the different mechanisms that link warming and CO<sub>2</sub> fluxes in northern ecosystems.</span></p>
Data from: Increases in understory plant cover and richness persist following restoration treatments in Pinus ponderosa forests
<p>A combination of forest thinning followed by prescribed burning is widely applied in the western US to increase ecosystem resistance and resilience to disturbances. Understory plant community responses may be driven both by management treatments and climatic factors. Thus, responses to treatments during a 20-year megadrought have implications for the role of management in fostering adaptive capacity to climate change.</p> <p>We used a network of five sites (600 plots) spanning an environmental gradient in ponderosa pine (<em>Pinus ponderosa</em>) forests of the American Southwest, an ecosystem that is broadly distributed and actively managed throughout the western US. We used repeated long-term monitoring data to quantify plant community responses to treatment 1-5, 6-10, and >10 years post-implementation. Specifically, we focused on the effects of treatment and abiotic conditions on native and nonnative plant cover and species richness, and on the proportion of native species with northern (cool-mesic) biogeographic affinities.</p> <p>Overall, thinning and prescribed burning nearly doubled native cover and increased native species richness by about 50% relative to untreated controls. These effects persisted for over a decade after treatment, even under the influence of significant and persistent drought. Cover and richness were also greater on intermediate to wet sites. Finally, native species with northern biogeographic affinities were reduced for up to five years after treatment relative to those with southern (warm-xeric) affinities, and in dry years, indicating that both management and interannual climate variability may foster shifts in plant communities that are more resilient to a warming climate.</p> <p>Synthesis and applications: In ponderosa pine forests of the American Southwest, tree thinning followed by prescribed burning will generally promote restoration goals of increasing resilience to climate change by enhancing the diversity and abundance of native understory plant species, even during a persistent 20-year megadrought.</p>
Experimental Investigation of the Bubble Size Distribution in a Mini Plant Batch Bubble Column With Variation of Gas Flux, Bubble Column Height and Composition of the Liquid Phase
<p>This data set contains bubble size distributions (BSD) measured in a dN = 100 mm mini-plant batch bubble column. The BSD were measured using the optical multimode online probe. The liquid holdup, the feed gas volume flow rate/flux, the composition of the liquid phase (water or aqueous solutions of NaCl, EtOH, glycerol or Na2SO3) and the measuring position in the bubble column were varied. </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.