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.
92
datasets available to search
ShareScore release 0.9.0
Dataset results
92 results for “Pollen grain”
Annotated dataset of microscope images of pollen grains from 40 beekeeping taxa
<p>The study of beekeeping flora and the analysis and identification of pollen collected by bees are important tools for beekeepers and researchers seeking to understand bee feeding habits and assess the ecological interactions between bees and plants. To identify the botanical origin of the pollen pellets collected by the bees, palynology method is mainly followed.</p><p>Pollen grains show great diversity, in terms of size, shape, symmetry and surface, as well as in terms of the number and type of their openings (apertures). They often present openings on their outer surface, serving as excellent diagnostic characters, as they show stability in their form and number. The most common types of openings are the pores, the sinuses, and the combination of the above, the anal canals. Pollen grains with pores are characterized as porate, those with sinuses as colpate, if they contain both as colporate. Depending on the number of openings, corresponding prefixes such as mono-, di-, tri- etc. precede the above terms. Also, the position of the openings, whether they are at the poles or in the equatorial zone, as well as their shape, are taken also into account.</p><p>Pollen size can be used as a diagnostic feature, but it shows great variability even within the same pollen grain. This is because it can be affected by various factors such as chemical treatment and the materials used in the creation of the preparations, genetic variability, etc. Specifically, a frequent phenomenon is the shrinking of pollen grains (harmomegathy or Wodehouse effect) resulting from the change in the bursting pressure of the cytoplasm during the hydration or dehydration of the pollen. Therefore, the degree of hydration is responsible for the actual shape and size of the pollen grains.</p><p>Considering all the above, a database was created including microscope images and characteristics (such as the type of pollen grain, the size, the type and number of openings, etc) of 40 taxa of major beekeeping importance.</p><p>Pollen in the form of pellets was crushed and a small amount was taken with special stainless steel forceps and then mixed with a drop of 20% glucose solution on a slide. Fuchsin solution was added and the preparation was spread over a 22 x 22 mm surface. The preparations were dried by gentle heating to 40°C, on a heating plate and a cover slip is placed to which a small amount of Entellan was added. All pollen grains were photographed on an optical microscope (Olympus SZX12), with lens 40× (Olympus DF PLAPO 1X DF), with a digital analysis camera (Olympus SC30), while a morphometry software (Image Pro Plus Software, V1.1.19) was used for their determination. For the microscopic identification of the pollen types, the collection of reference slides from the Laboratory of Apiculture of the Aristotle University of Thessaloniki, which is accredited to ISO 17025:2017, was used.</p><p>The dataset contains 3379 training captured microscope images of pollen grains from 40 major beekeeping taxa (class list can be found below) and 85 testing captured images. Polygon annotations (files train.json and val.json included) were created using LabelMe software and saved in COCO Annotation format.</p><p>Further information about the related project (SmartBeeKeep) can be found in the following article and presentation (please site if you use these data):</p><ul><li>Vasilios Liolios, Dimitrios Kanelis, Maria-Anna Rodopoulou, Chrysoula Tananaki (2023). A Comparative Study of Methods Recording Beekeeping Flora. Forests, 14(8), 1677; <a href="https://doi.org/10.3390/f14081677">https://doi.org/10.3390/f14081677</a> </li><li>Nikos Grammalidis, Andreas Stergioulas, Aggelos Avramidis, Konstantinos Karystinakis, Athanasios Partozis, Athanasios Topaloudis, Georgia Kalantzi, Chrisoula Tananaki, Dimitrios Kanelis, Vasilis Liolios, and Madesis Panagiotis "A smart beekeeping platform based on remote sensing and artificial intelligence", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860C (21 September 2023); <a href="https://doi.org/10.1117/12.2681866%20">https://doi.org/10.1117/12.2681866</a> Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus <a href="https://smartbeekeep.eu/files/rscyp23_sbk_paper.pdf">Author preprint available</a></li></ul><p><strong>Annotation - Latin name</strong></p><p>Anthemis - Anthemis sp.</p><p>Asphodelus - Asphodelus fistulosus</p><p>Brassica napus - Brassica napus</p><p>Castanea - Castanea sativa </p><p>Cephalaria - Cephalaria transsylvanica</p><p>Chenopodium - Chenopodium album</p><p>Cichorium intybus - Cichorium intybus</p><p>Cistus - Cistus creticus</p><p>Cistus salvifolius - Cistus salvifolius</p><p>Convolvulus - Convolvulus arvensis</p><p>Daucus - Daucus carota</p><p>Echium - Echium plantagineum</p><p>Erica - Erica manipuliflora</p><p>Hederahelix - Hedera helix</p><p>Helianthus - Helianthus annuus</p><p>Heliotropium - Heliotropium europaeum</p><p>Hypericum - Hypericum perforatum</p><p>Lavandula - Lavandula angustifolia</p><p>Ligustrum - Ligustrum japonicum</p><p>Matricaria - Matricaria chamomilla</p><p>Olea - Olea europaea</p><p>Paliurus - Paliurus spina-christi</p><p>Papaver - Papaver rhoeas</p><p>Pinus - Pinus sp.</p><p>Polugonum - Polygonum aviculare</p><p>Portulaca - Portulaca oleracea</p><p>Pyrus spinosa - Pyrus spinosa</p><p>Quercussp - Quercus coccifera</p><p>Rosmarinus officinalis - Rosmarinus officinalis</p><p>Rubus - Rubus ulmifolius</p><p>Silybum marianum - Silybum marianum</p><p>Sinapis - Sinapis arvensis</p><p>sonchus - Sonchus asper</p><p>Taraxacum officinale - Taraxacum officinale</p><p>Tamarix - Tamarix sp.</p><p>Tilia intermedia - Tilia sp.</p><p>Tribulus - Tribulus terrestis</p><p>Trifolium - Trifolium campestre</p><p>Verbascum - Verbascum nigrum</p><p>Vicia vilosa - Vicia villosa</p>
Data from: Using quantum dots as pollen labels to track the fates of individual pollen grains
1. Despite a long history of significant advances in understanding natural selection and evolution, the field of plant reproductive biology has largely studied plant mating without directly tracking pollen movement due to a lack of suitable pollen-tracking methods. 2. Here, we develop and test a novel pollen-tracking technique using quantum dots as pollen-grain labels. Quantum dots are semiconductor nanocrystals that are so small, they behave like atoms. When exposed to UV light, they emit extremely bright light in both visible and infrared wavelengths We tested the suitability of non-toxic CuInSexS2-x/ZnS (core/shell) quantum dots with oleic acid ligands as pollen-grain labels.Using a micropipette, we dispensed quantum dots dissolved in hexane in minute volumes (0.15–0.5 µl) directly onto dehisced anthers of four different plant species from four different families [Wachendorfia paniculata (Haemodoraceae), Sparaxis villosa (Iridaceae), Arctotheca calendula (Asteraceae), Oxalis purpurea (Oxalidaceae)]. 3. After application, the hexane solvent evaporated immediately, leaving behind quantum dots that remained attached to pollen grains of the four different plant species even after agitation in a polar solvent. This suggests a lipophilic interaction between oleic-acid ligands on quantum dots, and pollenkitt surrounding pollen grains. We also showed that most pollen grains within anthers of the same four plant species were labelled with quantum dots after applying a volume of quantum-dot solution sufficient to cover an individual anther. To test whether quantum-dot pollen-labels influenced pollen transport, we conducted pollen transfer trials (one donor, ten sequential recipients) on S. villosa using captively-reared honey bees to ensure bees were free of external pollen prior to experiments. We found no difference in pollen transport to recipients from donor flowers with labelled or unlabelled pollen grains. 4. We demonstrate that quantum dots can be used as pollen labels allowing subsequent tracking of pollen fates. This method is relatively inexpensive (<$500 for equipment and ca. $0.02 per labelled anther thereafter) and can be simply and directly applied to anthers of most flowers in the lab and field. The ability to track pollen grain movement in situ, may help to address an historically neglected aspect of plant reproductive ecology and evolution.
Text-fig. 3. Cercidiphyllum japonicum SIEB. et ZUC., Botanical Garden, Moscow: pollen grains from anthers. in In Situ Pollen Of Alasia, A Supposed Staminate Inflorescence Of Trochodendroides Plant
Text-fig. 3. Cercidiphyllum japonicum SIEB. et ZUC., Botanical Garden, Moscow: pollen grains from anthers.
Figure 1 in Suitability of different pollen grains and Tetranychus urticae as food for the predatory mite, Amblyseius swirskii (Acari: Phytoseiidae)
Figure 1. Age-stage-specific survival rate (sxj) of Ambluseius swirskii fed on Tetranychus urticae and seven different plant pollen grains.
Text-fig. 39. Scanning electron microscope (SEM) images of "Pollen clump with tricolpate pollen sp. 3"; Catefica locality, Portugal. a) Pollen clump, probably an anther fragment, containing one kind of pollen; b, d, e) Pollen grains from stamen fragment in polar (b, d) and equatorial (e) views showing the long colpi with coarsely verrucate aperture membranes; note the semitectate-reticulate tectum in the mesocolpium regions and foveolate-punctate tectum in the polar regions and along the aperture margins; c) Detail of pollen wall showing smooth muri and short, densely-spaced columellae. Specimen, Catefica 49-S107785 (a–e). Scale bars = 600 Μm (a), 6 Μm (b, d, e), 1.5 Μm (c). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 39. Scanning electron microscope (SEM) images of "Pollen clump with tricolpate pollen sp. 3"; Catefica locality, Portugal. a) Pollen clump, probably an anther fragment, containing one kind of pollen; b, d, e) Pollen grains from stamen fragment in polar (b, d) and equatorial (e) views showing the long colpi with coarsely verrucate aperture membranes; note the semitectate-reticulate tectum in the mesocolpium regions and foveolate-punctate tectum in the polar regions and along the aperture margins; c) Detail of pollen wall showing smooth muri and short, densely-spaced columellae. Specimen, Catefica 49-S107785 (a–e). Scale bars = 600 Μm (a), 6 Μm (b, d, e), 1.5 Μm (c).
Text-fig. 16. Scanning electron microscope (SEM) images of "Stamen fragments with in situ Clavatipollenites- or Asteropollis-type pollen" (sp. 1: a–c; sp. 2: d–f; sp. 3: g–i); Catefica locality, Portugal. a) Stamen fragment showing pollen sacs; b) Distal view of pollen grain from (a) showing semitectate-reticulate tectum; c) Detail of pollen wall showing the semitectate-reticulate tectum and long, scattered, columellae supporting muri with fine pits and rounded supratectal ornamentation; note orbiculae with a finely spiny surface (arrows); d) Stamen showing very short filament, lateral pollen sacs and short apical extension of the narrow connective; e) Folded pollen grain from (d) showing semitectate-reticulate tectum; f) Detail of pollen wall from (d) showing the semitectatereticulate tectum and muri with fine rounded ornamentation; g) Stamen fragment; h, i) Detail of pollen grains from (g) showing the semitectate-reticulate tectum with smooth muri, long scattered columellae and tiny scattered orbicules (arrow). Specimens, Catefica 50-S170395 (a–c), Catefica 49-S172561 (d–f), Catefica 50-S170390 (g–i). Scale bars = 600 Μm (a, d, g), 6 Μm (b, e, h), 1.5 Μm (c, f, i). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 16. Scanning electron microscope (SEM) images of "Stamen fragments with in situ Clavatipollenites- or Asteropollis-type pollen" (sp. 1: a–c; sp. 2: d–f; sp. 3: g–i); Catefica locality, Portugal. a) Stamen fragment showing pollen sacs; b) Distal view of pollen grain from (a) showing semitectate-reticulate tectum; c) Detail of pollen wall showing the semitectate-reticulate tectum and long, scattered, columellae supporting muri with fine pits and rounded supratectal ornamentation; note orbiculae with a finely spiny surface (arrows); d) Stamen showing very short filament, lateral pollen sacs and short apical extension of the narrow connective; e) Folded pollen grain from (d) showing semitectate-reticulate tectum; f) Detail of pollen wall from (d) showing the semitectatereticulate tectum and muri with fine rounded ornamentation; g) Stamen fragment; h, i) Detail of pollen grains from (g) showing the semitectate-reticulate tectum with smooth muri, long scattered columellae and tiny scattered orbicules (arrow). Specimens, Catefica 50-S170395 (a–c), Catefica 49-S172561 (d–f), Catefica 50-S170390 (g–i). Scale bars = 600 Μm (a, d, g), 6 Μm (b, e, h), 1.5 Μm (c, f, i).
Text-fig. 15. Scanning electron microscope (SEM) images of stamen with "Asteropollis-type pollen sp. 2"; Catefica locality, Portugal. a) Stamen with pollen in situ showing the dome-shaped extension of the connective with hairs; b–d) Pollen in situ in stamen in (a) showing poorly defined pentachotomocolpate (b, d) and possibly tetrachotomocolpate (c) apertures and semitectate-reticulate tectum; e) Detail of broken pollen grains showing the loosely attached reticulum, long scattered columellae and thick foot layer. Specimen, Catefica 49-S101209 (a–e). Scale bars = 600 Μm (a), 6 Μm (b–e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 15. Scanning electron microscope (SEM) images of stamen with "Asteropollis-type pollen sp. 2"; Catefica locality, Portugal. a) Stamen with pollen in situ showing the dome-shaped extension of the connective with hairs; b–d) Pollen in situ in stamen in (a) showing poorly defined pentachotomocolpate (b, d) and possibly tetrachotomocolpate (c) apertures and semitectate-reticulate tectum; e) Detail of broken pollen grains showing the loosely attached reticulum, long scattered columellae and thick foot layer. Specimen, Catefica 49-S101209 (a–e). Scale bars = 600 Μm (a), 6 Μm (b–e).
Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e).
Data from: Using quantum dots as pollen labels to track the fates of individual pollen grains
Open the record for dataset details and reuse information.
Transcriptome analysis of Arabidopsis mature pollen grains from wild type and heterozygous NOT1 mutants
GEO Series GSE133490. Arabidopsis thaliana. 6 samples. Type: Expression profiling by array.
Comparative transcriptome profiling of tomato (Solanum lycopersicum L.) pollen grains during maturation and in response to acquired thermotolerance conditions
GEO Series GSE117733. Solanum lycopersicum. 4 samples. Type: Expression profiling by high throughput sequencing.
MSH7 confers quantitative variation in pollen fertility and boosts grain yield in maize
GEO Series GSE224891. Zea mays. 12 samples. Type: Expression profiling by high throughput sequencing.
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.