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22,710 results for “Plants for planting”
Energy consumption data of office building and energy production data of a 185KW PV plant
<p>The dataset includes two-year monitoring data from the energy consumption of and office building located in center of Italy. The building has HVAC system, heat pumps for space heating /cooling (overall 120-140 KW load) and lighting subsystems controlled individually and/or overall by BMS.</p> <p>The building is a part of a small smart-grid which includes a PV plant (180KW). Energy production data are monitored and a two-year dataset is provided as well. </p>
The relationship between plant diversity and facilitation during tropical dry forest restoration
<p>Restoration programs that promote the functioning of restored ecosystems are in urgent demand. Although several biodiversity and ecosystem functioning (BEF) experiments have demonstrated the importance of functional complementarity enhancing plant community performance, no BEF study has yet experimentally manipulated facilitation testing its contribution to how the complementarity effect modulates community performance.</p> <p>We built a restoration experiment manipulating diversity and facilitation in a tropical semiarid forest. We planted 4704 seedlings of 16 native tree species to assemble 147 experimental communities with 45 different compositions comprising 1, 2, 4, 8 or 16 species. Facilitation was included in the experimental design by creating a gradient of communities from low to high facilitation potential (based on prior research). We measured functional diversity and functional identity using species above and below-ground traits to investigate how they modulate the effects of species diversity and facilitation on leaf biomass production, and its additive partition biodiversity effects (NE, CE & SE).</p> <p>The joint influence of diversity and facilitation was tested separately for leaf biomass production and Net Biodiversity Effect using Linear Mixed Models (LMMs). We subsequently ran LMMs including functional diversity and functional identity. We hypothesised that facilitation would increase community productivity and functioning and that functional dispersion and functional identity related to above and below-ground traits would explain facilitation performance.</p> <p>Facilitation positively influenced leaf biomass production as predicted, but unexpectedly, neither of the functional traits were important for modulating the facilitation process. Positive values for Complementarity Effect (CE) showed that plants performed better in mixtures in comparison to monocultures. Selection Effect (SE) negative values, showed that species with below-average performance in monocultures, performed better in mixtures. Unexpectedly, CE did not increase as species diversity or facilitation increased. SE was influenced negatively by facilitation leading to a more equal distribution of biomass production between species in mixtures.</p> <p>Synthesis: Facilitation improves biomass production in restored communities and increases biomass equitability among plant species and thus ecosystem reliability. To improve restoration success, plant communities should be built using facilitating plants.</p>
Dataset related to the responses of eggplant plants to Bemisia Tabaci whitefly in presence of one of its natural enemies, the Macrolophus pygmaeus plant bug
<p>This dataset assesses the response of eggplant plants to 3 conditions: noninfested control plants, plants infested by Bemisia tabaci whitefly, and plants infested by Bemisia tabaci where Macrolophus pygmaeus plant bug was also released.</p> <p>The data of the various parameters relating to the responses of the different eggplant plants to the three tested conditions were analyzed using a one-way ANOVA. Where significant differences were detected, the means were separated by Tukey’s HSD test (p < 0.05). Statistical analysis was carried out using the program Statistica (StatSoft, TIBCO Software Inc., Tulsa, OK, USA).</p> <p>The provided dataset was used in the investigation of whether the Macrolophus pygmaeus (Hemiptera: Miridae) plant bug can mitigate the damage caused to plants by the Bemisia tabaci whitefly (Hemiptera: Aleyrodidae). A discussion and interpretation of the data, as well as subsequent results, is provided in the scientific publication <a href="https://zenodo.org/record/7660447#.Y_Soh3aZObg">"Can Macrolophus pygmaeus (Hemiptera: Miridae) Mitigate the Damage Caused to Plants by Bemisia tabaci (Hemiptera: Aleyrodidae)?"</a>, published in the <em><strong><a href="https://www.mdpi.com/2075-4450/14/2/164">Insects</a> </strong></em>journal. </p> <p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Fig. 7. Bergera koenigii L. A. Plants. B. Inflorescence. C. Pistil and stamens. D–E. Infructescence. F. Fruits. G. Seeds. H in Taxonomic revision of Bergera J.Koenig ex L. (Rutaceae) based on the molecular phylogeny and morphology
Fig. 7. Bergera koenigii L. A. Plants. B. Inflorescence. C. Pistil and stamens. D–E. Infructescence. F. Fruits. G. Seeds. H. Ovary crossection. Photos taken by Feng-Juan Mou in China.
Validation of highly sensitive method based on UHPLC-ESI-MS/MS for the quantification of progestogens and androgens in plant material.
<p>We prepared a highly sensitive method for the quantification of progestogens and androgens in plant materials. This method is based on UHPLC-ESI-MS/MS. We show here the data used for the method validation. This includes the determination of linearity, recovery, precision, limits of detection and limits of quantification. </p> <p>The general procedure can be found in the txt or pdf file. </p> <p>The resulting data are collected in the excel file and can be found in the csv files, additonally.</p>
Where should they come from? Where should they go? Several measures of seed source locality fail to predict plant establishment in early prairie restorations
<ol> <li>During the "decade on restoration," we must understand how to reliably re-establish native plant populations. When establishing populations through seed addition, practitioners prioritize obtaining seed from locations geographically near the restoration site (i.e., "local seed sourcing"). They are assumed to be under similar environmental conditions to the restoration site and should establish more robust plant populations and preserve local biotic interactions than seeds sourced from further away. However, this assumption remains virtually untested in realistic restoration settings and the importance of seed sourcing, relative to other factors such as seeding rate and management regimes, is unclear.</li> <li>To determine if seed source impacts plant establishment, abundance, and phenology, we developed a partnership between university researchers and a native seed producer that kept records on where their seed was sourced from and where it was planted. At each site, we recorded the abundance and phenological stage of five commonly used tallgrass prairie restoration species seeded at 24 sites undergoing restoration across Michigan. We considered two measures of seed source locality: geographic distance (seeds were sourced from locations 6–750km away from their respective restoration sites) and climate distance. We also obtained data on the seeding rate and post-seeding management efforts at each site.</li> <li>We found that no measure of seed source locality predicted the likelihood of plant establishment or abundance at restoration sites. However, sites sown with seed from further away, or from cooler and wetter climates, had a greater proportion of flowering individuals earlier in the season. Finally, sites with higher seeding rates had greater plant abundance, and post-seeding management of the restoration site increased the likelihood a species would establish by 36%.</li> <li>Overall, these results suggest that seed sourcing did not impact plant establishment or abundance in our system. However, using fewer local seed sources can alter flowering phenology.</li> <li>Our results suggest that tallgrass prairie restoration efforts should prioritize higher seeding rates, post-seeding management, and might expand the region seed sources are considered "local", though this could impact flowering phenology. Future research leveraging native seed producer records can help answer critical questions about restoration seed sourcing.</li> </ol>
The turnover of plant-frugivore interactions along plant range expansion: consequences for natural colonisation processes
<p><span>Plant-animal mutualisms such as seed dispersal are key interactions for sustaining plant range shifts. Whether the organisation of interactions with seed dispersers is reconfigured along the expansion landscape template, and its effects accelerating or slowing colonisation, remain elusive. Here we analyse plant-frugivore interactions in a scenario of rapid population expansion of a Mediterranean juniper. We combined complex network analyses with intensive field surveys, sampling interactions between individual plants and frugivores by DNA-Barcoding and phototrapping over two seasons. We assess the role of intrinsic and extrinsic intraspecific variability in shaping interactions and we estimate the contribution of individual plants to seed rain. The whole interaction network was highly structured, with a distinct set of modules including individual plants and frugivore species arranged concordantly along the expansion gradient. The modular configuration found was partially shaped by individual neighbourhood context (density and fecundity) and phenotypic traits (cone size). Interaction reconfiguration resulted in a higher and uneven contribution to seed dispersal rain by individuals of the expansion boundaries, providing signals of the colonisation local-history. Our study provides novel insights into the key role of mutualistic interactions in colonisation scenarios by promoting fast plant expansion processes.</span></p>
Working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians
<p>This is a table version of a working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians that I developed during 2015-2023. It contains the most full synonymy on all (sub)endemics validly accepted as (sub)species.</p>
Data from: Fungal symbionts generate water-saver and water-spender plant drought strategies via diverse effects on host gene expression
<p><em>Panicum</em> <em>hallii</em> var <em>hallii</em> HAL2 plants were inoculated individually with six foliar fungal endophytes or fungus-free controls and subjected to 5% or 20% soil moisture treatments. The fungi were selected for their previously observed effects on plant drought physiology, inducing either a "water saver" or a "water spender" strategy in the host. Plants were grown in enclosed microcosms to prevent cross-contamination and each treatment and control included 6 replicates. All fungi were Ascomycetes isolated from plants in central Texas. Plants were monitored for height, wilt, water loss, and survival. At the harvest, we also measured biomass and leaf colonization by the fungi and flash-froze leaf tissue for transcriptomic analyses. Both plant response and gene expression data are provided.</p>
Austrian Hydro Power Plants
<p>Dataset of major hydropower plants in Austria. Provides location, capacity, turbine technology, head, flow, and further data.</p>
Vertical plant profiles for Dassenbos (NL, 2014-2018, TLS); Wytham Woods (UK, 2022, LEAF) & Northern Australia (2021-2022, LEAF)
<p>This dataset was described and used for the analysis of the following publication:<br> <em>StrucNet: A global network for automated vegetation structure monitoring. Brede, B., Newnham, G., Culvenor, D., Armston, J., Bartholomeus, H., Griebel, A., Hayward, J., Junttila, S., Lau, A., Levick, S., Morrone, R., Origo, N., Pfeifer, M., Verbesselt, J. & Herold, M. Remote Sensing in Ecology and Conservation (accepted)</em></p> <p><strong>Any use of this dataset should cite the paper above </strong>(Creative Commons Attribution 4.0 International Public License).</p> <p>Contact: kim.calders@ugent.be</p> <p> </p> <p>================================================<br> Dataset<br> ================================================</p> <p>1) TLS vertical plant profiles Dassenbos. Five-year dynamics of forest structure for the four sampling locations in Dassenbos. Data were collected using the same measurement protocol and data analysis using https://www.pylidar.org/ as described in Calders et al. (2015) using a zenith range of 35-70 degrees for 184-186 (some scans were discarded for quality purposes) measurement days during the period from February 2014 to November 2018. The data repository contains the vertical plant profiles and plotting code (Fig 1 in paper)</p> <p>2) One-year dynamics of vegetation structure for a tropical savanna site in Northern Australia (Fig 2 in paper) and Wytham Woods (Fig 3 in paper). The data repository contains the vertical plant profiles derived from LEAF data and plotting code.</p>
Screening the maize rhizobiome for consortia that improve Azospirillum brasilense root colonization and plant growth outcomes
<p>Data corresponds to results from: <em>Barua N, Clouse KM, Ruiz Diaz DA, Wagner MR, Platt TG and Hansen RR (2023) Screening the</em> <em>maize rhizobiome for consortia that improve Azospirillum brasilense root colonization and plant growth outcomes. Front. Sustain. Food Syst. 7:1106528. doi: 10.3389/fsufs.2023.1106528</em></p>
Effects of nurse shrubs and biochar on planted conifer seedling survival and growth in a high-severity burn patch in New Mexico, USA
<p>The synergistic effects of widespread high-severity wildfire and anthropogenic climate change are driving large-scale vegetation conversion. In the southwestern United States, areas that were once dominated by conifer forests are now shrub- or grasslands after high-severity wildfire, an ecosystem conversion that could be permanent without human intervention. Yet, the reforestation of these landscapes is rarely successful, with a mean planted seedling survival of just 25 %. Given these low rates, we carried out a planting experiment to quantify the impacts of biochar as a soil amendment and shrubs as nurse plants on planted conifer seedling survival and growth following high-severity wildfire. We planted 1200 seedlings of three species (<em>Pinus</em> <em>ponderosa</em>, <em>P. strobiformis</em>, and <em>Pseudotsuga</em> <em>menziesii</em>) in a 2-ha area within the footprint of the Las Conchas fire in New Mexico, USA. We used four treatments: under shrubs, or in the open and with or without biochar in a full-factorial design. We found that planting tree seedlings underneath shrubs increased tree seedling survival by 46 % after 3 years, with some marginal evidence that shrubs inhibited seedling diameter growth (mean <em>R<sup>2</sup></em> = 0.08). The addition of biochar increased seedling survival by 11 % but had no effect on seedling growth. Our study suggests that planted seedling survival in post-wildfire areas can be increased by planting under shrubs in soil amended with biochar. The widespread adoption of these methods may improve the success rates of post-wildfire reforestation efforts in semi-arid areas, regaining some of the ecosystem services lost to high-severity wildfire.</p>
Recorded plant sounds from: Sounds emitted by plants under stress are airborne and informative
<p>Stressed plants show altered phenotypes, including changes in color, smell, and shape. Yet, airborne sounds emitted by stressed plants have not been investigated before. Here we show that stressed plants emit airborne sounds that can be recorded from a distance and classified. We recorded ultrasonic sounds emitted by tomato and tobacco plants inside an acoustic chamber, and in a greenhouse, while monitoring the plant's physiological parameters. We developed machine learning models that succeeded in identifying the condition of the plants, including dehydration level and injury, based solely on the emitted sounds. These informative sounds may also be detectable by other organisms. This work opens new avenues for understanding plants and their interactions with the environment and may have a significant impact on agriculture.</p>
Mapping of solar panels and Fukushima Daiichi Nuclear Power Plant Accident-associated radioactive waste storage in 2022 and 2023, Fukushima, Japan
<p>The policy of reconstruction after the Fukushima Daiichi Nuclear Plant accident has led to a radical transformation of the landscapes of Fukushima Prefecture especially in two aspects (Asanuma-Brice et al., 2023). The first is related to an extensive decontamination policy which resulted in the removal of more than 13 million m<sup>3</sup> of contaminated soil (MOEJ, 2021). The second is the widespread installation of solar panels, which demonstrate the transition decided by the Prefecture and the inhabitants in terms of energy policy.</p> <p>A systematic mapping of these features was carried out from the satellite imagery of Google Map (2023) within the boundaries of Fukushima Prefecture. The objective was to highlight the evolution of specific land use features that are captured imprecisely by automatic detection mapping. We focused on the main visible change in the landscape in terms of land use since Fukushima Daiichi nuclear accident: contaminated waste disposal areas and solar panel fields. These zones were delineated allowing a calculation of the corresponding surface areas (m<sup>2</sup>).<strong> The dataset is composed of 4 shapefile layers: contaminated waste deposits in 2022 and 2023, solar panels in 2022 and 2023. For the year 2022 the last update was conducted in July 2022 and for the year 2023 the last update took place in March 2023.</strong></p> <p>As the land use is in constant and rapid transition (Asanuma-Brice, 2021), we considered as contaminated waste deposits, the permanent storage centers as well as the sites where there are still bags of contaminated waste in varying numbers, knowing that they will be removed and stored on other dedicated sites (Evrard et al., 2019). This choice was made to potentially identify, when the map was updated, the future uses of the land where this waste was stored temporarily.</p> <p>This dataset is part of a larger project that aims to provide the community with an interactive tool (https://mitatelab.cnrs.fr/mitate-labs-map-of-solar-panel-and-contaminated-wasted-land/) that makes available various types of information essential to the analysis of the reconstruction, such as: the delineation of the evacuated zone (which evolved throughout time), the delineation of the municipality boundaries affected by the reconstruction policy, the main services found in these localities, the location of the memorials of the disaster in the zone, as well as the geo-localization of the soil/sediment samples collected by other Mitate lab researchers in order to investigate the redistribution of radionuclides in the environment (Evrard et al., 2021).</p>
Spanish wild plants traditionally used as medicine
<p>List of Spanish wild plant species with the ethnobotanical references in which they have been reported as medicinal and their cultural importance index (CI). Accompanied as well by data about origin (wild or cultivated), abundance, occupancy area, endemicity, conservation status, protection status. We also provide the complete list of references and legislation used.</p> <p>The excel file has five tabs: 1. Ethnobotanical references, 2. Medicinal species, 3. Legislation, 4. Protection, 5. Protection categories.</p>
Advanced photochemical processes for the manufacture of nanopowders: an evaluation of long-term pilot plant operation
<p>Dataset for the publication:</p> <p>Advanced photochemical processes for the manufacture of nanopowders: an evaluation of long-term pilot plant operation</p> <p>React. Chem. Eng., 2022, 7, 968–977</p> <p>DOI: 10.1039/d1re00374g</p>
ENPKG from 1,600 plant extracts
<p>These files constitute the Experimental Natural Products Knowledge Graph (ENPKG) generated from the LC-MS analysis and the anti-trypanosomatid screening of a 1,600 plant extracts dataset.</p>
Leveraging FSPMs for Unconventional Computing with Plants
<p>This software contains the code and presentation from the conference paper `` Comparing FSPMs using Unconventional Computing Methods'', presented at FSPM2023 in Berlin.</p> <p>The software to run the analysis can be found on [Github](https://github.com/opieters/fspm2023).</p> <p>The YAML-files (`hydroshoot_environment.yml`, `wheatfspm_environment.yml`) should be used to create the anaonda environments and reproduce the output CSV files. The files are also included for convenience (`hydroshoot.zip` and `WheatFspm.zip`). The source code is also included here in case the original repositories are no longer available on GitHub.</p> <p>The code for the grass leaf model is not yet available because the research paper has not yet been published.</p> <p>The input files (`*_meteo.csv`) is the input meteorological data. The output files all end with `_data.csv`. Import these into the `data` directory from the GitHub code and you should be able to reproduce the results.</p>
How do young identify plants? Using the drawing method to explore early ethnobotanical knowledge in Madagascar
<p>Database from the article "How do young identify plants? Using the drawing method to explore early ethnobotanical knowledge in Madagascar"</p> <p>Please contact the author before using it for more details.</p> <p> </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.