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.
1,418
datasets available to search
ShareScore release 0.9.0
Dataset results
1,418 results for “Grasses”
FIGURE 2 in Lectotypification of the fountain grass Cenchrus setaceus (Poaceae: Paniceae)
FIGURE 2. Forsskål sheet at LD with material of Pennisetum divisum (J.F. Gmelin) Henrard (barcode LD1217537). © Herbarium LD, reproduced with permission.
FIGURE 1 in Lectotypification of the fountain grass Cenchrus setaceus (Poaceae: Paniceae)
FIGURE 1. Lectotype of Cenchrus setaceus (Forsskål) Morrone [Forsskål 117, C (barcode C10002753], front (right) and back of sheet (left). © Herbarium C, reproduced with permission.
FIGURE 2 in Stipa dickorei sp. nov. (Poaceae), three new records and a checklist of feather grasses of China
FIGURE 2. Selected morphological characters of Stipa dickorei. A. General habit. B. Spikelets. C. Anthecia with awns. D. Lemma apex with basal part of the awn. E. Micromorphological structure of the lemma epidermis (lateral view). F. Callus. G. Adaxial surface of leaves. H. Abaxial surface of leaves. Scale bars: A: 1 cm, B–C: 5 mm.
FIGURE 2 in Synflorescence morphology of grasses with reduced terminal inflorescences: a case study of Jouvea (Cynodonteae, Chloridoideae, Poaceae)
FIGURE 2. Synflorescence diagrams of Jouvea straminea. A, B, Variations of pistillate synflorescences. C, D, Variations of staminate synflorescences.
FIGURE 1 in Synflorescence morphology of grasses with reduced terminal inflorescences: a case study of Jouvea (Cynodonteae, Chloridoideae, Poaceae)
FIGURE 1. Synflorescence diagrams of Jouvea pilosa: A, Pistillate synflorescence showing the different internode zones. Dotted square indicates the terminal cluster. B, C, Other variations of pistillate synflorescences. D, Pistillate terminal cluster where the terminal inflorescence is associated with trophotagma enrichment axes. E, F, G, Variations of staminate synflorescences. References: LIZ, long internode zone; SIZ, short internode zone; tea, trophotagma enrichment axis of staminate synflorescences; tea1, trophotagma enrichment axis type 1; tea2, trophotagma enrichment axis type 2; tIn, terminal inflorescence.
Table 1 in The grass root endophytic fungus Flavomyces fulophazii: An abundant source of tetramic acid and chlorinated azaphilone derivatives
<p><b>Table 1</b> Details of Flavomyces fulophazii isolates included in this study.</p><table><tbody><tr><th>Isolate No. in this study</th><th>Other strain/isolate/culture names</th><th>Collection area</th><th>Collection date</th><th>Host plant</th><th>ITS GenBank accession No.</th><th>Publication</th></tr></tbody><tbody><tr><th>HF-1</th><td>flavo_01</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438310</td><td>This study</td></tr><tr><th>HF-2</th><td>flavo_04</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438311</td><td>This study</td></tr><tr><th>HF-3</th><td>flavo_05</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438312</td><td>This study</td></tr><tr><th>HF-4</th><td>flavo_06</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438313</td><td>This study</td></tr><tr><th>HF-5</th><td>flavo_08</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438314</td><td>This study</td></tr><tr><th>HF-6</th><td>flavo_09</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438315</td><td>This study</td></tr><tr><th>HF-7</th><td>flavo_11</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438316</td><td>This study</td></tr><tr><th>HF-8</th><td>flavo_13</td><td>Fül¨oph´aza, Hungary</td><td>April 2014</td><td><i>Festuca vaginata</i></td><td>MW438317</td><td>This study</td></tr><tr><th>HF-9</th><td>DSE8/143 = CBS 135664</td><td>Fül¨oph´aza, Hungary</td><td>July 2005</td><td><i>Festuca vaginata</i></td><td>KP184000 a</td><td>Knapp et al. (2015)</td></tr><tr><th>HF-10</th><td>DSE8/S = CBS 135761 (T)</td><td>Fül¨oph´aza, Hungary</td><td>July 2012</td><td><i>Festuca vaginata</i></td><td>KP184001 b</td><td>Knapp et al. (2015)</td></tr><tr><th>MF-1</th><td>MF03</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537657</td><td>Knapp et al. (2019)</td></tr><tr><th>MF-2</th><td>MF04</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537658</td><td>Knapp et al. (2019)</td></tr><tr><th>MF-3</th><td>MF05</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537659</td><td>Knapp et al. (2019)</td></tr><tr><th>MF-4</th><td>MF06</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537660</td><td>Knapp et al. (2019)</td></tr><tr><th>MF-5</th><td>MF07</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537661</td><td>Knapp et al. (2019)</td></tr><tr><th>MF-6</th><td>MF08</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537662</td><td>Knapp et al. (2019)</td></tr><tr><th>MF-7</th><td>MF09 = DSE8309</td><td>Nalaikh, Mongolia</td><td>October 2016</td><td><i>Stipa krylovii</i></td><td>MN537663 c</td><td>Knapp et al. (2019)</td></tr></tbody></table><p><sup>a</sup> Sequences of further DNA loci of this strain are available: LSU (partial 28S large subunit of the nrRNA gene): KP184039; SSU (partial 18S small subunit of the nrRNA gene): KP184081; ACT (partial actin gene): KP184116; CAL (partial calmodulin gene): KP184159.</p><p><sup>b</sup> Sequences of further DNA loci of this strain are available: LSU: KP184040; SSU: KP184082; ACT: KP184118; CAL: KP184158.</p><p><sup>c</sup> Sequences of further DNA loci of this strain are available: LSU: MN515261; TEF (translation elongation factor 1-α): MN535259. (T): ex-type culture.</p>
Data from: Evolutionary potential of a widespread clonal grass under changing climate
Adaptive responses are probably the most effective long-term responses of populations to climate change, but they require sufficient evolutionary potential upon which selection can act. This requires high genetic variance for the traits under selection, and low antagonizing genetic covariances between the different traits. Evolutionary potential estimates are still scarce for long-lived, clonal plants, although these species are predicted to dominate the landscape with climate change. We studied the evolutionary potential of a perennial grass, Festuca rubra, in western Norway, in two controlled environments corresponding to extreme environments in natural populations: cold-dry and warm-wet, the latter being consistent with the climatic predictions for the country. We estimated genetic variances, covariances, selection gradients and response to selection for a wide range of growth, resource acquisition and physiological traits, and compared their estimates between the environments. We showed that the evolutionary potential of F. rubra is high in both environments, and genetic covariances define one main direction along which selection can act with relatively few constraints to selection. The observed response to selection at present is not sufficient to produce genotypes adapted to the predicted climate change under a simple, space for time substitution model. However, the current populations contain genotypes which are pre-adapted to the new climate, especially for growth and resource acquisition traits. Overall, these results suggest that the present populations of the long-lived clonal plant may have sufficient evolutionary potential to withstand long-term climate changes through adaptive responses. We studied the evolutionary potential of a perennial grass, Festuca rubra, in western Norway, in two controlled environments corresponding to extreme environments in natural populations: cold-dry and warm-wet, the latter being consistent with the climatic predictions for the country. We estimated genetic variances, covariances, selection gradients and response to selection for a wide range of growth, resource acquisition and physiological traits, and compared their estimates between the environments. We showed that the evolutionary potential of F. rubra is high in both environments, and genetic covariances define one main direction along which selection can act with relatively few constraints to selection. The observed response to selection at present is not sufficient to produce genotypes adapted to the predicted climate change under a simple, space for time substitution model. However, the current populations contain genotypes which are pre-adapted to the new climate, especially for growth and resource acquisition traits. Overall, these results suggest that the present populations of the long-lived clonal plant may have sufficient evolutionary potential to withstand long-term climate changes through adaptive responses.
Data from: Native lagomorphs suppress grass establishment in a shrub‐encroached, semiarid grassland
Shrub encroachment into arid grasslands has been associated with reduced grass abundance, increased soil erosion, and local declines in biodiversity. Livestock overgrazing and the associated reduction of fine fuels has been a primary driver of shrub encroachment in the southwestern United States, but shrublands continue to persist despite livestock removal and grassland restoration efforts. We hypothesized that herbivory feedbacks from native mammals may contribute to continued suppression of grasses after the removal of livestock. Our herbivore exclusion experiment in southeastern Arizona included five treatment levels and allowed access to native mammals based on their relative body size, separating the effects of rodents, lagomorphs, and mule deer. We included two control treatments and replicated each treatment 10 times (n = 50). We introduced uniform divisions of lawn sod (Cynodon dactylon) into each exclosure for 24-hour periods prior to (n = 2) and following (n = 2) the monsoon rains and used motion-activated cameras to document herbivore visitations. In the pre-monsoon trials, treatments that allowed lagomorph access had less sod biomass relative to other treatments (p < 0.001), averaging 44% ( 36%) and 29% ( 45%) remaining biomass after the 24-hour trial periods. Following the onset of monsoons, differences in remaining biomass among treatments disappeared. Desert cottontails (Sylvilagus audubonii) were detected more frequently than any of the other 11 herbivore species present at the site, accounting for 83% of detections during the pre-monsoon trials. Significantly more (p < 0.001) desert cottontails were detected during the pre-monsoon trials (2,077) compared to the post-monsoon trials (174), which coincided with biomass removal from lagomorph accessible treatments. We conclude that desert cottontails are significant consumers of herbaceous vegetation in shrub-encroached arid grasslands and they, along with other native herbivores, may act as a biotic feedback contributing to the competitive advantage and persistence of shrubs.
Data from: Stress in native grasses under ecologically relevant heat waves
Future increases in the intensity of heat waves (high heat and low water availability) are predicted to be one of the most significant impacts on organisms. Using six native grasses from Eastern Australia, we assessed their capacity to tolerate heat waves with low water availability. We were interested in understanding differential response between native grasses of differing photosynthetic pathways in terms of physiological and some molecular parameters to ecologically relevant summer heat waves that are associated with low rainfall. We used a simulation heatwave event in controlled temperature cabinets and investigated effects of the different treatments on four stress indicators: leaf senescence, leaf water content, photosynthetic efficiency and the relative expression of two heat shock proteins, Hsp70 and smHsp17.6. Leaf senescence was significantly greater under the combined stress treatment, while declines in leaf water content and photosynthetic efficiency were much larger for C3 than C4 plants, particularly under the combined stress treatment. Species showed an increase in expression of Hsp70 associated with heat treatment, rather than drought stress. In contrast Hsp17.6 was only detected in two species, responding to heat rather than drought, although species' responses were variable. Overall, the C3 species were less tolerant than C4 species. Variation in individual plants within species was evident, especially under multiple stresses, and indicates that losses of individual plants may occur during a heat wave associated with this variability in tolerance. Heat waves will impose significant stress on plant communities that would not otherwise occur when heat and drought stress are experienced singly. Using ecologically relevant heat stress is likely to yield better predictability of how native plants will cope under a hotter, drier future.
Shade alters grass growth and architecture by reducing root biomass
<p>Variable tree cover characterizes tropical grassy biomes. Light availability in the ground layer becomes increasingly limited as tree cover increases while open canopy environments are associated with a flammable grassy ground layer. Grass species dominating the ground layer of these ecosystems have adopted strategies to persist and proliferate with frequent fire. However, there is limited understanding of how grass growth and flammability traits respond to changes in light availability. We experimentally grew 14 grass species characteristic of the Malagasy Central Highlands for one year with four treatments of light exclusion ranging from 0 – 60%. Six plant functional traits and four leaf flammability traits were measured: plant height, bulk density, aboveground biomass, belowground biomass, ratio of root to shoot biomass, specific leaf area, leaf heat release capacity, temperature of maximum decomposition, total heat release and peak heat release rate. Belowground biomass, the ratio of root to shoot biomass and bulk density were substantially negatively affected by decreasing light availability while aboveground biomass showed no significant change although, there was a trend towards smaller plants at high shade. Specific leaf area increased with declining light availability. In terms of leaf flammability, unexpectedly, only leaf total heat release was significantly positively affected and the other traits were not. These suggest that any field alterations in grass flammability would be primarily underpinned by changes in plant architecture and potentially microclimate. The reductions observed in belowground biomass suggests that grasses would be rapidly lost from shaded environments with a diminished competitive capacity to resprout.</p>
FIGURE 3 in Diversity, chorology and conservation of the grasses (Poaceae) in Serra do Ouro Branco, State of Minas Gerais, Brazil
FIGURE 3. Habitats and dominant species in Serra do Ouro Branco, State of Minas Gerais, Brazil. A. Axonopus brasiliensis, inflorescence. B. Paspalum erianthum, inflorescence. C. campo rupestre with Trachypogon spicatus. D. Paspalum pectinatum, inflorescence. E. campo rupestre with Vellozia compacta. F. Paspalum polyphyllum growing in rock crevices. G. rocky outcrops with Apochloa poliophylla. H. Aulonemia effusa. Photo credit: H.M. Longhi-Wagner.
FIGURE 2. Poaceae genera that exhibited a in Diversity, chorology and conservation of the grasses (Poaceae) in Serra do Ouro Branco, State of Minas Gerais, Brazil
FIGURE 2. Poaceae genera that exhibited a higher species richness in Serra do Ouro Branco, State of Minas Gerais, Brazil.
FIGURE 1 in Diversity, chorology and conservation of the grasses (Poaceae) in Serra do Ouro Branco, State of Minas Gerais, Brazil
FIGURE 1. Geographic location of Serra do Ouro Branco and other localities within the Espinhaço Range mentioned in the text (States of Minas Gerais and Bahia, Brazil).
Split root Poa annua grass
<p>This dataset shows plant mass for Poa annua plants grown under high and low light and N, with N supplied equally or unqually to the roots</p>
Figure 10. Nests 6 and 7a in Nest architecture in polydomous grass-cutting ants (Acromyrmex balzani)
Figure 10. Nests 6 and 7a. (A) General view of subnest 1, nest 6; (B) general view of subnest 2, nest 6; (C) general view of subnest 1, nest 7; (D) general view of subnest 2, nest 7. Scale: 40 cm.
Figure 7. Nest 2a in Nest architecture in polydomous grass-cutting ants (Acromyrmex balzani)
Figure 7. Nest 2a (A–C). General view of the subnests of nest 2 of Acromyrmex balzani. Scale: 40 cm.
Figure 4 in Nest architecture in polydomous grass-cutting ants (Acromyrmex balzani)
Figure 4. (A) General view of nest 3 moulded with cement; (B) general view of subnest 1; (C) general view of subnest 2; (D) general view of subnest 3. Scale: 1.5 m.
Figure 2 in Nest architecture in polydomous grass-cutting ants (Acromyrmex balzani)
Figure 2. Nests moulded with cement. (A) Nest 1 containing two chambers; (B) nest 7 containing three chambers; (C) nest 4 containing two chambers; (D) nest 5 containing three chambers. Scale: 40 cm.
Figure 1 in Nest architecture in polydomous grass-cutting ants (Acromyrmex balzani)
Figure 1. External view of Acromyrmex balzani nests. (A, B) Distance between the holes and mound of loose soil. (C, D) Nests without an exposed mound of loose soil. Scale: 40 cm.
Figure 6. Nest 1a in Nest architecture in polydomous grass-cutting ants (Acromyrmex balzani)
Figure 6. Nest 1a (A–D). General view of the subnests of colony 1 of Acromyrmex balzani. Scale: 40 cm.
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.