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769 results for “CULTIVATE”
Data from: The genomic basis of nitrogen utilization efficiency and trait plasticity to improve nutrient stress tolerance in cultivated sunflower
<p>Supplemental datafiles and raw genotype data for "The genomic basis of nitrogen utilization efficiency and trait plasticity to improve nutrient stress tolerance in cultivated sunflower" by Andries A. Temme, Kelly L. Kerr, Kristen M. Nolting, Emily L. Dittmar, Rishi R. Masalia, Alexander K. Bucksch, John M. Burke, Lisa A. Donovan. Journal of Experimental Botany 10.1093/jxb/erae025</p>
A genomic compendium of cultivated human gut fungi characterizes the gut mycobiome and its relevance to common diseases
<p><span>Morphological and scanning electron microscopy images of 206 fungal species cultivated from human feces. </span></p>
Fig. 4 in Characterization of undescribed melanoma inhibitors from Euphorbia mauritanica L. cultivated in Egypt targeting BRAF and MEK 1 kinases via in-silico study and ADME prediction
Fig. 4. Experimental and TDDFT-simulated electronic circular dichroism spctra of (A) euphomauritanol A (1), (B) euphomauritanol B (2), and euphomauritanophane A (3).
Fig. 6 in Characterization of undescribed melanoma inhibitors from Euphorbia mauritanica L. cultivated in Egypt targeting BRAF and MEK 1 kinases via in-silico study and ADME prediction
Fig. 6. Bioavailability radar chart from Swiss ADME online web tool for compounds (A) 1, (B) 2 and (C) 3. The pink area represents the range of the optimal property values for oral bioavailability and the red line is compounds (A) 1, (B) 2 and (C) 3 predicted properties. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Characterization of undescribed melanoma inhibitors from Euphorbia mauritanica L. cultivated in Egypt targeting BRAF and MEK 1 kinases via in-silico study and ADME prediction
Fig. 5. (A) 2D binding mode, (B) 3D binding mode of Euphomauritanol A (1) in the active site of BRaf Kinase V600E (PDB ID: 4XV2) (C) 2D binding mode, and (D) 3D binding mode of euphomauritanophane A (3) in the active site of MEK 1 kinase (PDB ID: 4LMN).
Covalent grafting of Titanium Carbide for Improvement of Flake Stability and Cell Cultivation
Open the record for dataset details and reuse information.
Global-scale greenhouse cultivation areas (Version 1)
<p>This data set provides spatially explicit estimates of the area at 3 meters resolution directly used for greenhouse cultivation on a global scale. It was derived using PlanetScope data and Sentinel-2 data for the year 2019. This data set does not cover all existing greenhouses across the globe. The data can be viewed here: <a title="Follow link" href="https://rs-cph.projects.earthengine.app/view/greenhouse" target="_blank" rel="nofollow noopener">https://rs-cph.projects.earthengine.app/view/greenhouse. </a><a target="_blank">Please contact xito@ign.ku.dk for data and inform us if you identify areas that require an update.</a></p> <p>Any usage must be solely for Noncommercial education or scientific research purposes, and publication in academic or scientific research journals. Licensee agrees that all such publications must include an attribution that clearly and conspicuously identifies Planet Labs PBC.</p>
An annual 30 m cultivated pasture dataset of the Tibetan Plateau from 1988 to 2021
<p><span>Cultivated pastures have rapidly developed across the Tibetan Plateau over the past several decades, raising concerns about grassland degradation. Accordingly, considerable attention is focused on the protection of grassland ecosystems. However, the high-resolution spatial distribution of cultivated pastures on the Tibetan Plateau remains poorly understood, primarily due to the difficulty of discriminating cultivated pastures from </span><span>non-cultivated pastures<span> using remote sensing techniques. The absence of such information hinders efficient agricultural and livestock husbandry management, making it challenging to support ecological protection and restoration efforts. Here, we mapped the cultivated pastures on the Tibetan Plateau at a 30-m resolution </span></span><span>for the years 1988 to 2021 </span><span>using the Landsat data on the Google Earth Engine (GEE) cloud computing platform. We built a Random Forest (RF) binary classification model with inputs of the spectral-temporal metrics of Landsat images acquired in the growing season, as well as ancillary topographic data. The model was trained using carefully selected training samples and validated against 2,000 independent random reference points. The model achieved an overall accuracy of 97.05% ± 0.4%</span><span> and an F1 spatial consistency score of 82.51% ± 14.22% (Precision: 90.04% ± 6.18%, Recall: 76.74% ± 9.91%)</span><span>, suggesting high confidence in </span><span>mapping the</span><span> distribution of cultivated pastures. </span><span>We produced a dataset of cultivated pasture maps for the years from 1988 to 2021 for Qinghai Province and the Tibet Autonomous Region on the Tibetan Plateau, covering 77% of the plateau. </span><span>To o</span><span>ur knowledge, we are the first to map cultivated pastures on the Tibetan Plateau, and our RF binary classification approach holds promise in identifying cultivated pastures in other regions of the world, which could prove invaluable for scientists, policymakers, ecological conservation practitioners, and herdsmen.</span></p>
Biophysical effects of bioenergy crop cultivation scenarios on global land air temperature
<p>Biophysical effects of different bioenergy crop cultivation scenarios on global land air temperature simulated by coupled IPSL-CM model, with ORCHIDEE-MICT-BIOENERGY as the land component and LMDz as the atmosphere component. The spatial resolution of the coupled model was 1.26° latitude × 2.5° longitude (i.e., 143*144 grid cells globally).</p> <p>Datasets includes:</p> <p>1. Source data for global air temperature change in each grid from different scenarios based on the idealized cultivation map and the land cover type for the simulations.</p> <p>2. Source data for global temperature change and its different contributors.</p> <p>3. Source data for global temperature change in different regions.</p> <p>4. Source data for global temperature change and different contributors in scenarios based on different cultivation maps.</p> <p> </p>
Agronomic and Environmental Performance of Lemnaminor Cultivated on Agricultural Wastewater Streams—A Practical Approach
<p>This study investigated the potential of Lemna minor to valorise agricultural wastewater in protein-rich feed material in order to meet the growing demand for animal feed protein and reduce the excess of nutrients in certain European regions. For this purpose, three pilot-scale systems were monitored for 175 days under outdoor conditions in Flanders. The systems were fed with the effluent of aquaculture (pikeperch production—PP), a mixture of diluted pig manure wastewater (PM), and a synthetic medium (SM). PM showed the highest productivity (6.1 ± 2.5 g DW m<sup>−2</sup> d<sup>−1</sup>) and N uptake (327 ± 107 mg N m<sup>−2</sup> d<sup>−1</sup>). PP yielded a similar productivity and both wastewaters resulted in higher productivities than SM. Furthermore, all media showed similar P uptake rates (65–70 P m<sup>−2</sup> d<sup>−1</sup>). Finally, duckweed had a beneficial amino acid composition for humans (essential amino acid index = 1.1), broilers and pigs. This study also showed that the growing medium had more influence on the productivity of duckweed than on its amino acid composition or protein content, with the latter being only slightly affected by the different media studied. Overall, these results demonstrate that duckweed can effectively remove nutrients from agriculture wastewaters while producing quality protein.</p>
FIGURE. Euphorbia guillemetii in cultivation in the National Tree Museum Gimborn, The Netherlands. A. branch showing the spines, leaves, and young brachyblasts; B, C. cyathium variation from different individuals; D. main stems. Credits: W.L.A. Hetterscheid. in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia guillemetii in cultivation in the National Tree Museum Gimborn, The Netherlands. A. branch showing the spines, leaves, and young brachyblasts; B, C. cyathium variation from different individuals; D. main stems. Credits: W.L.A. Hetterscheid.
FIGURE. Euphorbia fanjahiraensis in cultivation in the National Tree Museum Gimborn, The Netherlands. A. habit; B. detail of the inflorescence. Credits: W.L.A. Hetterscheid (A and B). in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia fanjahiraensis in cultivation in the National Tree Museum Gimborn, The Netherlands. A. habit; B. detail of the inflorescence. Credits: W.L.A. Hetterscheid (A and B).
FIGURE. Euphorbia crassicaulis, reddish form in cultivation in the National Tree Museum Gimborn, The Netherlands. A. flowering branch; B. detail of a cyathium and cyathophylls. Credits: W.L.A. Hetterscheid (A and B). in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia crassicaulis, reddish form in cultivation in the National Tree Museum Gimborn, The Netherlands. A. flowering branch; B. detail of a cyathium and cyathophylls. Credits: W.L.A. Hetterscheid (A and B).
FIGURE. Euphorbia neobosseri in cultivation in the National Tree Museum Gimborn, The Netherlands. A. succulent rootstock and stem base; B, D. details of inflorescences; C. branch habit. Credits: W.L.A. Hetterscheid (A–D). in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia neobosseri in cultivation in the National Tree Museum Gimborn, The Netherlands. A. succulent rootstock and stem base; B, D. details of inflorescences; C. branch habit. Credits: W.L.A. Hetterscheid (A–D).
FIGURE. Euphorbia multibrachiata in cultivation. A. detail of the spination; B. detail of the leaf venation and reddish petiole; C. inflorescence showing the spreading cyathophylls; D. fruits; E. young seedling in cultivation showing the early branching. Credits: J.Spannring (A–E). in Taxonomic changes and new species in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia multibrachiata in cultivation. A. detail of the spination; B. detail of the leaf venation and reddish petiole; C. inflorescence showing the spreading cyathophylls; D. fruits; E. young seedling in cultivation showing the early branching. Credits: J.Spannring (A–E).
FIGURE. Euphorbia parvimedusae in cultivation by P.Pavelka (Czech Republic). A. detail of the subterranean branching pattern with caudex; B. young flowering branch; C. habit in cultivation; D. detail of an inflorescence, cyathia with staminate flowers. Credits: R. van Veldhuisen (A–D). in Taxonomic changes and new species in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia parvimedusae in cultivation by P.Pavelka (Czech Republic). A. detail of the subterranean branching pattern with caudex; B. young flowering branch; C. habit in cultivation; D. detail of an inflorescence, cyathia with staminate flowers. Credits: R. van Veldhuisen (A–D).
FIGURE. Euphorbia tsihombensis, plants in cultivation at the National Tree Museum Gimborn, The Netherlands. A. detail of the young spination with accessory spines at the base; B. branch in cultivation showing brachyblast leaves; C. branch with young spines and flat leaves with reddish and widely undulating margin. Credits. W.L.A.Hetterscheid (A–C). in Taxonomic changes and new species in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia tsihombensis, plants in cultivation at the National Tree Museum Gimborn, The Netherlands. A. detail of the young spination with accessory spines at the base; B. branch in cultivation showing brachyblast leaves; C. branch with young spines and flat leaves with reddish and widely undulating margin. Credits. W.L.A.Hetterscheid (A–C).
Georeferenced phylogenetic analysis of a global collection of wild and cultivated Citrullus species
<p>The geographical origin of watermelon (Citrullus lanatus) remains debated. While a first hypothesis suggests the center of origin to be west Africa, where a sister endemic species C. mucosospermus thrives, a second hypothesis suggests north-eastern Africa where the white-fleshed Sudanese Kordophan melon is cultivated. In this study, we infer biogeographical and haplotype genealogy for C. lanatus, C. mucosospermus, C. amarus, and C. colocynthis using non-coding cpDNA sequences (trnT-trnL and ndhF-rpl32 regions) from a global collection of 135 accessions. In total, we identified 38 haplotypes in C. lanatus, C. mucosospermus, C. amarus, and C. colocynthis; of these, 21 were found in Africa and 17 appear endemic to the continent. The least diverse species was C. mucosospermus (5 haplotypes) and the most diverse was C. colocynthis (16 haplotypes). Some haplotypes of C. mucosospermus were nearly exclusive to West-Africa, and C. lanatus and C. mucosospermus shared haplotypes that were distinct from those of both C. amarus and C. colocynthis. The results support previous findings C. mucosospermus to be the closest relative to C. lanatus (including subsp. cordophanus). West Africa, as a center of endemism of C. mucosospermus, is an area of interest in the search of the origin of C. lanatus. This calls for further historical and phylogeographical investigations and wider collection of samples in West and North-East Africa.</p>
Effects of cultivation practice on floristic and flowering diversity of spontaneously growing plant species on arable fields
<p>In the past, the floristic diversity of arable fields has been described in terms of species diversity (SD) and their degree of coverage (C), but never in combination with the recording of the actually flowered species (FS) and their flowering intensity (FI) to striking differences in the cultivation methods on arable land. In relation with SD and C, however, FS and FI may provide important additional information on the functional biodiversity of fields. The aim was therefore to investigate the effects of a) conventional, b) organic as well as c) smallholder (never application of herbicides) on the floristic diversity. Using a region in Germany, we investigated SD, C, FS and FI synchronously in a), b) and c), by 356 vegetation surveys (5x5m plots) conducted in spring and summer in 2019 in winter cereals. Statistical tests were used to analyse the differences between a), b) and c). The medians were used to compare the floristic diversity of a), b) and c) and finally relationships of FS and FI to SD were analysed in relation to the cultivation methods. Significant differences in SD, C, FS and FI were found between the a), b) and c) in spring and summer characterised by sharp declines from c) to b) to a). A drastic reduction in floristic diversity from c) 100 to b) 52 to a) 3 was determined. Plants in flower (FS, FI), were very poorly in a), moderately well to well in b) and well to very well represented in c). C) to a) was characterised by an sharp decline, and, from a) to b) by sharp increase in floristic diversity. With current acreage proportions of a) in mind, this would affect, about one-third of land area in Germany, associated with a drastic reduction in functional biodiversity for insects.</p>
FIGURE 1. Morphological comparission between C. agatiflora subsp. engleri and C in Misidentified For More Than 50 Years, Crotalaria Rosenii (Leguminosae, Papilionoideae, Crotalarieae), A Cultivated Species In Colombia And Ecuador
FIGURE 1. Morphological comparission between C. agatiflora subsp. engleri and C. rosenii. (A, C, E) C. rosenii; (B, D, F) C. agatiflora subsp. engleri; (A-B) habit; (C-D) bark; (E-F) leaves. Scales: A-B, 50 cm. C-F, 2 cm. Photographs: Andrés Fonseca-Cortés.
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.