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.
718
datasets available to search
ShareScore release 0.9.0
Dataset results
718 results for “Crown”
Random Woody Crown Network (WCN) from 1 to 248 nodes
<p>Those woody crown networks are part of data of manuscript to consider publication </p>
Data of decomposition, topology, and the corresponding graphs of Random Woody Crown Networks with size from 10 to 248 nodes
<p>Data of decomposition, topology and the corresponding graphs of Random Woody Crown Networks with size from 10 to 248 nodes</p>
5000 Czech Crown Money Stack
A stack of 5K Czech crown bank notes. Made with Blender. Source: Objaverse 1.0 / Sketchfab
Royal sphere crown
made in blener . a royal orb . THANKS FOR YOUR FOLLOW ;) Source: Objaverse 1.0 / Sketchfab
Royal Crown
Source: Objaverse 1.0 / Sketchfab
Crown And Scepter
Source: Objaverse 1.0 / Sketchfab
Data from: drones as a tool to study and monitor endangered Grey Crowned Cranes (Balaerica regulorum): behavioural responses and recommended guidelines
<p>These data detail the results of an investigation into the impact of drones and on-foot approaches on the behaviour of the endangered Grey Crowned Crane (<em>Balearica regulorum</em>). In total, 313 drone flights and 56 on-foot approaches were conducted over three different Grey Crowned Crane group types - pairs (110 flights, 26 on-foot), families (66 flights, 7 on-foot), and flocks (110 flights, 23 on-foot). Response data describe the number of birds exhibiting a particular behaviour (1 - no behaviour change, 2 - heads raised to observe surroundings, 3 - wings raised, 4 -moving away, and 5 - flying away) based on a photograph taken during the approach. Predictor data include the distance between the drone or on-foot observer and the bird grouping and a description of the group type. The number of individuals in the group can be inferred from the response data.</p>
FIGURE 2 in First record of albinism in the Crowned River Turtle, Hardella thurjii, Gray, 1831 (Reptilia: Testudines, Geoemydidae)
FIGURE 2: Eye colouration in Hardella thurjii: A) Typical – yellowish brown iris, black pupil; B) Albinistic – pinkish iris, red pupil. Photographs by S. Dutta.
FIGURE 1 in First record of albinism in the Crowned River Turtle, Hardella thurjii, Gray, 1831 (Reptilia: Testudines, Geoemydidae)
FIGURE 1: Typical and albinistic Crowned River Turtle (Hardella thurjii): A) Typical male with normal dark brown colouration with yellow stripes on head and margins of costal and marginal scutes (Photograph by S. Singh); Albinistic male, dorsal view (B), ventral view (C) (Photographs by S. Dutta).
Species-level tree crown maps improve predictions of tree recruit abundance in a tropical landscape
<p>Predicting forest recovery at landscape scales will aid forest restoration efforts. The first step in successful forest recovery is tree recruitment. Forecasts of tree recruit abundance, derived from the landscape-scale distribution of seed sources (i.e. adult trees), could assist efforts to identify sites with high potential for natural regeneration. However, previous work has revealed wide variation in the effect of seed sources on seedling abundance, from positive to no effect. We quantified the relationship between adult tree seed sources and tree recruits, and predicted where natural recruitment would occur in a fragmented tropical agricultural landscape. We integrated species-specific tree crown maps generated from hyperspectral imagery and property boundaries data on individual property ownership with field data on the spatial distribution of tree recruits from five species. We then developed hierarchical Bayesian models to predict landscape-scale recruit abundance. Our models revealed that species-specific maps of tree crowns improved recruit abundance predictions. Conspecific crown area had a much stronger impact on recruitment abundance (8.00% increase in recruit abundance when conspecific tree density increases from zero to one tree; 95% CI: 0.80 to 11.57%) than heterospecific crown area (0.03% increase with the addition of a single heterospecific tree, 95% CI: -0.60 to 0.68%).Individual property ownership was also an important predictor of recruit abundance: the best performing model had varying effects of conspecific and heterospecific crown area on recruit abundance, depending on individual property ownership. We demonstrate how novel remote sensing approaches and cadastral data can be used to generate high-resolution and landscape-level maps of tree recruit abundance. Spatial models parameterized with field, cadastral, and remote sensing data are poised to assist decision support for forest landscape restoration.</p>
Chimeric inheritance and crown-group acquisitions of Carbon fixation genes within Chlorobiales
<p class="MsoNormal">The geological record of microbial metabolisms and ecologies primarily consists of stable isotope fractionations and the diagenetic products of biogenic lipids. Carotenoid lipid biomarkers are particularly useful proxies for reconstructing this record, providing information on microbial phototroph primary productivity, redox couples, and oxygenation. The biomarkers okenane, chlorobactane, and isorenieratene are generally considered to be evidence of anoxygenic phototrophs, and provide a record that extends to ~1.64 Ga. The utility of the carotenoid biomarker record may be enhanced by examining the carbon isotopic ratios in these products, which are diagnostic for specific pathways of biological carbon fixation found today within different microbial groups. However, this joint inference assumes that microbes have conserved these pathways across the duration of the preserved biomarker record. Testing this hypothesis, we performed phylogenetic analyses of the enzymes constituting the reductive tricarboxylic acid (rTCA) cycle in Chlorobiales, the group of anoxygenic phototrophic bacteria usually implicated in the deposition of chlorobactane and isorenieretane. We find phylogenetically incongruent patterns of inheritance across all enzymes, indicative of horizontal gene transfers to both stem and crown Chlorobiales from multiple potential donor lineages. This indicates that a complete rTCA cycle was independently acquired at least twice within Chlorobiales and was not present in the last common ancestor. When combined with recent molecular clock analyses, these results predict that the Mesoproterzoic lipid biomarker record diagnostic for Chlorobiales should not preserve isotopic fractionations indicative of a full rTCA cycle. Furthermore, we conclude that coupling isotopic and biomarker records is insufficient for reliably reconstructing microbial paleoecologies in the absence of a complementary and consistent phylogenomic narrative.<span> </span></p>
Restoration and fuel hazard reduction result in equivalent reductions in Crown fire behavior in dry conifer forests
<p>Over the past several decades, the management of historically frequent-fire forests in the western U.S. has received significant attention due to the linked ecological and social risks posed by the increased occurrence of large, contiguous patches of high-severity fire. As a result, efforts are underway to simultaneously reduce potential fire and fuel hazards and restore characteristics indicative of historical forest structures and ecological processes that enhance the diversity and quality of wildlife habitat across landscapes. Despite widespread agreement on the need for action, there is a perceived tension among scientists concerning silvicultural treatments that modify stands to optimally reduce potential fire behavior (fuel hazard reduction) versus those that aim to emulate historical forest structures and create structurally complex stands (restoration). In this work, we evaluated thinning treatments in the Black Hills National Forest that exemplify the extremes of a treatment continuum that ranges from fuel hazard reduction to restoration. The goal of this work was to understand how the differing 3-dimensional stand structures created by these treatment approaches altered potential fire behavior. Our results indicate that restoration treatments created higher levels of vertical and horizontal structural complexity than the fuel hazard reduction treatments but resulted in similar reductions to potential crown fire behavior. There were some tradeoffs identified as the restoration treatments created larger openings which generated faster mean rates of fire spread; however, these increased spread rates did not translate to higher levels of canopy consumption. Overall, our results suggest that treatments can create vertical and horizontal complexity desired for restoration and wildlife habitat management while reducing fire hazard and that they can be used in concert with traditional fuel hazard reduction treatments to reduce landscape scale fire risk. We also provide some suggestions to land managers seeking to design and implement prescriptions that emulate historical structures and enhance forest complexity.</p>
FIGURE 3. Garcinia fluviatilis. A. Crown seen from below. B. Stem cross section with yellow exudate. C in Nomenclatural and taxonomic novelties in Garcinia (Clusiaceae) from Amazonian forest
FIGURE 3. Garcinia fluviatilis. A. Crown seen from below. B. Stem cross section with yellow exudate. C. Apex of the branch showing the inconspicuous hood-shaped structures on the base of petiole. D. Abaxial leaf surface, detail showing the intersecondary veins parallel to the secondary ones and inconspicuous exudate canals, arrowheads show secondary veins. E. Staminate floral buds in various stages of development. F. Staminate flowers visited by Ornidia obesa (Fabricius, 1775). G. Pistillate flower. Photos by Thiago Mouzinho.
On following pages: 57. Yellow-crowned Brush-tailed Rat (/sothrix bistriata); 58. Plain Brush-tailed Rat (/sothrix pagurus); 59. Sinnamary Brush-tailed Rat (/sothrix sinnamariensis); 60. Tuft-tailed Spiny Tree-rat (Lonchothrix emiliae); 61. Ferreira's Spiny Tree-rat (Mesomys hispidus); 62. Long-haired Spiny Tree-rat (Mesomys leniceps); 63. Hidden Spiny Tree-rat (Mesomys occultus); 64. Para Spiny Tree-rat (Mesomys stimulax); 65. Amazon Bamboo Rat (Dactylomys dactylinus); 66. Bolivian Bamboo Rat (Dactylomys boliviensis); 67. Montane Bamboo Rat (Dactylomys peruanus); 68. Atlantic Bamboo Rat (Kannabateomys amblyonyx); 69. White-tailed Olalla Rat (Olallamys albicauda); 70. Greedy Olalla Rat (Olallamys edax). in Echimyidae
On following pages: 57. Yellow-crowned Brush-tailed Rat (/sothrix bistriata); 58. Plain Brush-tailed Rat (/sothrix pagurus); 59. Sinnamary Brush-tailed Rat (/sothrix sinnamariensis); 60. Tuft-tailed Spiny Tree-rat (Lonchothrix emiliae); 61. Ferreira's Spiny Tree-rat (Mesomys hispidus); 62. Long-haired Spiny Tree-rat (Mesomys leniceps); 63. Hidden Spiny Tree-rat (Mesomys occultus); 64. Para Spiny Tree-rat (Mesomys stimulax); 65. Amazon Bamboo Rat (Dactylomys dactylinus); 66. Bolivian Bamboo Rat (Dactylomys boliviensis); 67. Montane Bamboo Rat (Dactylomys peruanus); 68. Atlantic Bamboo Rat (Kannabateomys amblyonyx); 69. White-tailed Olalla Rat (Olallamys albicauda); 70. Greedy Olalla Rat (Olallamys edax).
On following pages: 4. Olallas' Titi (Callicebus olallae); 5. San Martin Titi (Callicebus oenanthe); 6. Coppery Titi (Callicebus cupreus); 7. Red-crowned Titi (Callicebus discolon; 8. Ornate Titi (Callicebus ornatus); 9. Chestnut-bellied Titi (Callicebus caligatus); 10. Doubtful Titi (Callicebus dubius); 11. Stephen Nash's Titi (Callicebus stephennashi); 12. Caqueta Titi (Callicebus caquetensis);, 13. Ashy Titi (Callicebus cinerascens); 14. Hoffmanns's Titi (Callicebus hoffmannsi); 15. Lake Baptista Titi (Callicebus baptista); 16. Red-bellied Titi (Callicebus moloch). in Phitheciidae
On following pages: 4. Olallas' Titi (Callicebus olallae); 5. San Martin Titi (Callicebus oenanthe); 6. Coppery Titi (Callicebus cupreus); 7. Red-crowned Titi (Callicebus discolon; 8. Ornate Titi (Callicebus ornatus); 9. Chestnut-bellied Titi (Callicebus caligatus); 10. Doubtful Titi (Callicebus dubius); 11. Stephen Nash's Titi (Callicebus stephennashi); 12. Caqueta Titi (Callicebus caquetensis);, 13. Ashy Titi (Callicebus cinerascens); 14. Hoffmanns's Titi (Callicebus hoffmannsi); 15. Lake Baptista Titi (Callicebus baptista); 16. Red-bellied Titi (Callicebus moloch).
On following pages: 4. Olallas' Titi (Callicebus olallae); 5. San Martin Titi (Callicebus oenanthe); 6. Coppery Titi (Callicebus cupreus); 7. Red-crowned Titi (Callicebus discolon; 8. Ornate Titi (Callicebus ornatus); 9. Chestnut-bellied Titi (Callicebus caligatus); 10. Doubtful Titi (Callicebus dubius); 11. Stephen Nash's Titi (Callicebus stephennashi); 12. Caqueta Titi (Callicebus caquetensis);, 13. Ashy Titi (Callicebus cinerascens); 14. Hoffmanns's Titi (Callicebus in Phitheciidae
On following pages: 4. Olallas' Titi (Callicebus olallae); 5. San Martin Titi (Callicebus oenanthe); 6. Coppery Titi (Callicebus cupreus); 7. Red-crowned Titi (Callicebus discolon; 8. Ornate Titi (Callicebus ornatus); 9. Chestnut-bellied Titi (Callicebus caligatus); 10. Doubtful Titi (Callicebus dubius); 11. Stephen Nash's Titi (Callicebus stephennashi); 12. Caqueta Titi (Callicebus caquetensis);, 13. Ashy Titi (Callicebus cinerascens); 14. Hoffmanns's Titi (Callicebus
On following pages: 11. White-fronted Brown Lemur (Eulemur albifrons); 12. Sanford's Brown Lemur (Eulemur sanford); 13. White-collared Brown Lemur (Eulemur cinereiceps); 14. Red-collared Brown Lemur (Eulemur collaris); 15. Black Lemur (Eulemur macaco); 16. Blue-eyed Black Lemur (Eulemurflavifrons); 17. Crowned Lemur (Eulemur coronatus); 18. Red-bellied Lemur (Eulemur rubriventer); 19. Mongoose Lemur (Eulemur mongoz). in Lemuridae
On following pages: 11. White-fronted Brown Lemur (Eulemur albifrons); 12. Sanford's Brown Lemur (Eulemur sanford); 13. White-collared Brown Lemur (Eulemur cinereiceps); 14. Red-collared Brown Lemur (Eulemur collaris); 15. Black Lemur (Eulemur macaco); 16. Blue-eyed Black Lemur (Eulemurflavifrons); 17. Crowned Lemur (Eulemur coronatus); 18. Red-bellied Lemur (Eulemur rubriventer); 19. Mongoose Lemur (Eulemur mongoz).
On following pages: 12. Crowned Sifaka (Propithecus coronatus); 13. Coquerel's Sifaka (Propithecus coquerell); 14. Tattersall's Sifaka (Propithecus tattersall); 15. Diademed Sifaka (Propithecus diadema); 16. Milne-Edwards's Sifaka (Propithecus edwardsi); 17. Silky Sifaka (Propithecus candidus); 18. Perrier's Sifaka (Propithecus perrieri). in Indriidae
On following pages: 12. Crowned Sifaka (Propithecus coronatus); 13. Coquerel's Sifaka (Propithecus coquerell); 14. Tattersall's Sifaka (Propithecus tattersall); 15. Diademed Sifaka (Propithecus diadema); 16. Milne-Edwards's Sifaka (Propithecus edwardsi); 17. Silky Sifaka (Propithecus candidus); 18. Perrier's Sifaka (Propithecus perrieri).
Distribution. NW Madgascar, found discontinuously in the coast S of the Manambolo River, from where the distribution swings inland to the uplands before touching the coast again N and E of the Mahavavy River; reports of the Crowned Sifaka as far S as the Sakay River, as far E to Andanotongo, and SE beyond Tsiroanomandidy suggest that its distribution is more complicated than originally believed. Decken's (PF. deckeniz) and Crowned sifakas are often found in the same areas, although the Crowned Sifaka tends to be found further inland than the more coastal Decken's Sifaka. In general, the boundary between these two species is the Mahavavy River, while the Betsiboka River separates the Crowned Sifaka from Coquerel's Sifaka (PF. coquereli). in Indriidae
Distribution. NW Madgascar, found discontinuously in the coast S of the Manambolo River, from where the distribution swings inland to the uplands before touching the coast again N and E of the Mahavavy River; reports of the Crowned Sifaka as far S as the Sakay River, as far E to Andanotongo, and SE beyond Tsiroanomandidy suggest that its distribution is more complicated than originally believed. Decken's (PF. deckeniz) and Crowned sifakas are often found in the same areas, although the Crowned Sifaka tends to be found further inland than the more coastal Decken's Sifaka. In general, the boundary between these two species is the Mahavavy River, while the Betsiboka River separates the Crowned Sifaka from Coquerel's Sifaka (PF. coquereli).
Distribution. CW Madagascar, found mainly between the Manambolo and Mahavavy rivers, the S limit of its distribution does not extend to the Tsiribihina River (which marks the N limit of Verreaux's Sifaka, P. verreauxi). This species and the Crowned Sifaka (PF. coronatus) are often found in the same areas, although the latter tends to be found further inland than the more coastal Decken's Sifaka. in Indriidae
Distribution. CW Madagascar, found mainly between the Manambolo and Mahavavy rivers, the S limit of its distribution does not extend to the Tsiribihina River (which marks the N limit of Verreaux's Sifaka, P. verreauxi). This species and the Crowned Sifaka (PF. coronatus) are often found in the same areas, although the latter tends to be found further inland than the more coastal Decken's Sifaka.
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.