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.
608
datasets available to search
ShareScore release 0.9.0
Dataset results
608 results for “Species recognition”
Early postnatal individual vocal recognition in a highly colonial mammal species
<p>Dataset associated with the article entitled 'Early postnatal individual vocal recognition in a highly colonial mammal species'</p>
Effectiveness of the spectral area index created by three algorithms for tree species recognition
<p>This dataset is an experimental dataset used to extract PAIs and verify their effectiveness in tree species classification.</p>
FIGURE 9 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 9. Bayesian tree inferred from the combined dataset including sequences of P. aceris and P. azaleae from GenBank.
FIGURE 8 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 8. Haplotype network of the COI gene for mealybugs collected on (A) Fraxinus spp. and (B) Zanthoxylum bungeanum. For the abbreviations for the collection sites, see caption for Fig. 1.
FIGURE 6 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 6. Illustration of the distribution of oral-collar tubular ducts on the dorsum of PACE2 (left) and PACE4B (right), which occurred sympatrically in Beijing. The habitus photographs of mealybugs from the front and side view are provided to show the shape of secretions.
FIGURE 5 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 5. The width of the circulus on segment I (A) and the ratio of the width of the circulus on segment III to that of on segment I (B). Figures in parentheses indicate the number of vouchers used for the measurements.
FIGURE 4 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 4. Illustration and count of the number circuli for each of the five PTP MOTUs. Roman numerals indicate the abdominal segments. Circuli with a tendency to be absent are in red.
FIGURE 1 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 1. Collection sites and habitus photographs of the Phenacoccus aceris species-group. The four genetic clades are colored as: PACE1-red, PACE2-green, PACE3-yellow, PACE4-blue. Collection sites: 1. LNSY=Liaoning, Shenyang; 2. BJ=Beijing; 3. HBTS=Hebei, Tangshan; 4. HBSX=Hebei, Shexian; 5. HNPY=Henan, Puyang; 6. HNZZ=Henan, Zhengzhou; 7. SXYX=Shanxi, Yuxian; 8. SXHG=Shanxi, Huguan; 9. SXYC=Shanxi, Yuci; 10. SXTG=Shanxi, Taigu; 11. SXTY=Shanxi, Taiyuan; 12. IMBT=Inner Mongolia, Baotou; 13. GSLZ=Gansu, Lanzhou; 14. GSLX=Gansu, Linxia; 15. GSZY=Gansu, Zhangye; 16. QHXN=Qinghai, Xining.
FIGURE 3 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 3. Bayesian trees inferred from analysis of each of the genes separately. The name of each terminal is the code for the specimen used that was representative of that geographical population. Values next to each node indicate posterior probabilities / bootstrap proportions. Black bars indicate the monophyletic clades from PACE1 to PACE4. Colors are as in Fig. 1.
FIGURE 2 in A review of species recognition in the Phenacoccus aceris species-group (Hemiptera: Coccomorpha: Pseudococcidae) using molecular and morphological data
FIGURE 2. Bayesian tree inferred from the combined dataset (10 million generations; burn-in = 2.5 million generations). Values next to each node indicate posterior probabilities (±0.7)/ bootstrap proportions (±50). The name of each terminal is the code for the specimen used that was representative of that haplotype. Black bars indicate the monophyletic clades from PACE1 to PACE4. Numbers below PACE indicate the support value of putative species delimitated by the PTP model. In the rectangular box are the host families each clade feed with the number of host species in the parenthesis. Colors are as in Fig. 1.
FIGURE 3. Majority-rule consensus tree for 20002 in Recognition of a new species of Carmenta from New Mexico supported by morphology and mitochondrial cytochrome oxidase I data (Lepidoptera: Sesiidae: Sesiinae: Synanthedonini)
FIGURE 3. Majority-rule consensus tree for 20002 trees kept from the Bayesian analysis of 1 million generations using the morphological and DNA data. Posterior probabilities greater then 75% are shown.
FIGURE 2 in Recognition of a new species of Carmenta from New Mexico supported by morphology and mitochondrial cytochrome oxidase I data (Lepidoptera: Sesiidae: Sesiinae: Synanthedonini)
FIGURE 2. One of two most parsimonious trees found in a heuristic search. Numbers below the branches are bootstrap values. * = node resolved in the strict consensus of the most parsimonious trees.
FIGURE 1 in Recognition of a new species of Carmenta from New Mexico supported by morphology and mitochondrial cytochrome oxidase I data (Lepidoptera: Sesiidae: Sesiinae: Synanthedonini)
FIGURE 1. Collecting locations of Carmenta wildishorum, n. sp., along road NM-64 in Colfax County, New Mexico.
Tree species recognition with quantitative structure models
<p>A quantitative structure model (QSM) contains the geometric and topological structure of a reconstructed tree. As such, QSMs enable computation of detailed tree properties that have been laborious or impossible to measure before. The computed tree properties can be used as classification features for tree species recognition.</p> <p>The first half of this video illustrates how we define the 15 classification features our research group has used for a species recognition study. An example QSM is used to visualize the relevant tree parts and key steps in the feature computations.</p> <p>The second half shows how the feature values of over a thousand Finnish trees of three different species, Silver birch, Scots pine and Norway Spruce, are distributed, and how well the species separate in the defined feature dimensions. One example QSM of each tree species shown on the right-hand-side with the only the tree parts visible that are related to the current feature.</p> <p>Table of contents:<br> 0:01 Feature illustration<br> 3:46 Viewer guide on screen elements<br> 5:20 Feature value distributions<br> 9:07 Credits</p> <p>The contents of this video link directly to the paper titled "Automatic tree species recognition with quantitative structure models" published in Remote Sensing of Environment (http://dx.doi.org/10.1016/j.rse.2016.12.002).</p> <p>For more information about QSMs, please visit the groups homepage, or watch the other videos on the topic: "3D Forest Information" (https://www.youtube.com/watch?v=wANRdliE1zQ) and "Cylinder reconstruction" (https://www.youtube.com/watch?v=j0Emjwp-fmU).</p> <p>This animation was produced by the Inverse Problems research group in the Department of Mathematics at Tampere University of Technology (http://math.tut.fi/inversegroup).</p> <p>Animation created using Blender 2.77a (http://www.blender.org).</p> <p>Music:<br> "Life of Riley"<br> "Thinking of you"<br> "Jarvic 8"<br> by Kevin MacLeod (http://incompetech.com)<br> Licensed under Creative Commons: By Attribution 3.0<br> http://creativecommons.org/licenses/by/3.0/</p>
Figure 26 in Phylogenetics and taxonomy of the Indo-Australian genus Ulonemia sensu Drake (Hemiptera: Tingidae), with the recognition of new genera and species collected from Proteaceae in Australia
Figure 26. Male genitalia of Ulonemia concava incertae sedis: pygophore, dorsal view (A); pygophore, ventral view (B); left paramere, dorsal view (C); right paramere, lateral view (D); right paramere, dorsal view (E); aedeagus, dorsal view (F); aedeagus, ventral view (G); aedeagus, right lateral view (H). See Methods for abbreviations. Scale bars = 0.1 mm.
Figure 25. Distribution map for Ulonemia leai and U in Phylogenetics and taxonomy of the Indo-Australian genus Ulonemia sensu Drake (Hemiptera: Tingidae), with the recognition of new genera and species collected from Proteaceae in Australia
Figure 25. Distribution map for Ulonemia leai and U. concava incertae sedis. Locality information taken from the PBI database.
Figure 24 in Phylogenetics and taxonomy of the Indo-Australian genus Ulonemia sensu Drake (Hemiptera: Tingidae), with the recognition of new genera and species collected from Proteaceae in Australia
Figure 24. Male genitalia of Ulonemia leai: pygophore, dorsal view (A); pygophore, ventral view (B); left paramere, dorsal view (C); right paramere, lateral view (D); right paramere, dorsal view (E); aedeagus, dorsal view (F); aedeagus, ventral view (G); aedeagus, right lateral view (H). See Methods for abbreviations. Scale bars = 0.1 mm.
Figure 23 in Phylogenetics and taxonomy of the Indo-Australian genus Ulonemia sensu Drake (Hemiptera: Tingidae), with the recognition of new genera and species collected from Proteaceae in Australia
Figure 23. Habitus photos of Ulonemia species: U. leai male dorsal (A), female dorsal (B); U. concava incertae sedis male dorsal (C), female dorsal (D); U. leai male lateral (E), female lateral (F). Scale bar = 1 mm.
Figure 22 in Phylogenetics and taxonomy of the Indo-Australian genus Ulonemia sensu Drake (Hemiptera: Tingidae), with the recognition of new genera and species collected from Proteaceae in Australia
Figure 22. Male genitalia of Proteatingis xouthos sp. nov.: pygophore, dorsal view (A); pygophore, ventral view (B); left paramere, dorsal view (C); right paramere, lateral view (D); right paramere, dorsal view (E); aedeagus, dorsal view (F); aedeagus, ventral view (G); aedeagus, right lateral view (H). See Methods for abbreviations. Scale bars = 0.1 mm.
Figure 21 in Phylogenetics and taxonomy of the Indo-Australian genus Ulonemia sensu Drake (Hemiptera: Tingidae), with the recognition of new genera and species collected from Proteaceae in Australia
Figure 21. Distribution map for Proteatingis mjobergi stat. nov. and Pr. xouthos sp. nov. Locality information taken from the PBI database.
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.