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Fig. 1 in Revisiting the Andean butterfly Eryphanis zolvizora group (Lepidoptera, Nymphalidae): one or several species?
Fig. 1. Characters studied on the habitus (recto) and their major variations. a. HW projection, estimated by P = LCu1-((LM3+LCu2)/2) in milimetres). b. Orange mark between veins R5-M1. c. Size and shape of the orange marks. d. Violet-blue iridescence. e. Male androconial patch.
Fig. 2 in Revisiting the Andean butterfly Eryphanis zolvizora group (Lepidoptera, Nymphalidae): one or several species?
Fig. 2. Characters studied on the habitus (verso), and their major variations. f. Ground colour of the ventral surface and of the median area. g. Isolated white spot on FW cell. h. White spot at the angle formed by the cubital vein of the FW cell and Cu2. i. 'Bridge' between white stripes in FW cell Cu2-2A. j. Length on HW of posterior extension of the white stripes. k. Black designs in the HW cell, and black curved line anterior to the Cu1-Cu2 ocellus. l. Ring around the HW costal ocellus. m. Widest diameter Φ of the HW Cu1-Cu2 ocellus.
Fig. 8 in Revisiting the Andean butterfly Eryphanis zolvizora group (Lepidoptera, Nymphalidae): one or several species?
Fig. 8. Habitus of females. Yellow spot: paratype (PT). A. Eryphanis zolvizora reyi ssp. nov., PT (La Chimenea, Barinas, Colombia; MIZA). B. Eryphanis zolvizora isabelae ssp. nov., PT (Colonia Tovar, Aragua, Venezuela; MCC).
Fig. 4 in Revisiting the Andean butterfly Eryphanis zolvizora group (Lepidoptera, Nymphalidae): one or several species?
Fig. 4. Habitus of males. Red spot: holotype (HT) or lectotype (LT). Yellow spot: syntype (ST) or paratype (PT). A. Eryphanis zolvizora zolvizora (Hewitson, 1877), LT (Bolivia; BMNH). B. The southernmost known specimen of E. z. zolvizora (Manchones, Santa Cruz, Bolivia; MHNC). C. Eryphanis zolvizora inca ssp. nov., HT (Aguas Calientes, Cuzco, Peru; MJP). D. Eryphanis zolvizora chachapoya ssp. nov., HT (Huamanpata, Amazonas, Peru; MJP). E. Eryphanis z. chachapoya ssp. nov., ST of Eryphanis opimus Staudinger, 1887, from Chanchamayo, Junín, Peru (BMNH). F. PT of E. z. chachapoya ssp. nov. with small spots (Alto Nieva, Amazonas, Peru; MNHN, PBGL 706).
Fig. 5 in Revisiting the Andean butterfly Eryphanis zolvizora group (Lepidoptera, Nymphalidae): one or several species?
Fig. 5. Habitus of males. Red spot: holotype (HT) or lectotype (LT). A. Eryphanis zolvizora greeneyi Penz & DeVries, 2008, stat. rev., HT (Yanayacu, Napo, Ecuador; BMNH). B. E. z. greeneyi, specimen with increased forewing spots (Baeza, Napo, Ecuador, Pinas). C. Eryphanis zolvizora casagrande ssp. nov., HT (Altaquer, Nariño, Colombia; ICNUN). D. E. z. casagrande from Western Ecuador (Las Gralarias, Pichincha; FLMNH). E. Eryphanis zolvizora opimus (Staudinger, 1887), LT (Manizales, Colombia; ZMHB). F. E. z. opimus, specimen with reduced spots (Cauca, Colombia; MNHN, CG).
Fig. 6 in Revisiting the Andean butterfly Eryphanis zolvizora group (Lepidoptera, Nymphalidae): one or several species?
Fig. 6. Habitus of males. Red spot: holotype (HT). Yellow spot: paratype (PT). A. Eryphanis zolvizora reyi ssp. nov., HT (La Chimenea, Barinas, Venezuela; MIZA). B. E. z. reyi ssp. nov., PT (Charalá, Colombia; MNHN, PBB 2321). C. Eryphanis zolvizora isabelae ssp. nov., HT (Choroní, Aragua, Venezuela; R, to be donated to MIZA). D. E. z. isabelae ssp. nov., PT; specimen with reduced forewing spots (Choroní, Aragua, Venezuela; R).
Monocyte class switch and hyperinflammation characterise severe COVID-19 in type 2 diabetes
<p>raw and source data for manuscript EMM-2020-13038 under revision and preprint doi: https://doi.org/10.1101/2020.06.02.20119909</p>
Generalized linear model with elastic net regularization and convolutional neural network for evaluating Aphanomyces root rot severity in lentil
<p>Red-Green-Blue (RGB) imaging was used to evaluate Aphanomyces root rot in 547 lentil accessions and lines. The root images were pre-processed by removing image background. This dataset (6,460 root images) was used to build two machine learning models — generalized linear model with elastic net regularization and convolutional neural network— to classify root images into three classes. Details about the methodology and results are described in Marzougui et al. (2020, Plant Phenomics).</p> <p>The excel file includes Aphanomyces root rot disease visual scores (<em>Root_Rating</em>), unique identifier for each lentil accession/line (<em>Lentil_ID</em>), unique identifier for each experiment (<em>Experiment</em>), and unique identifier for each image (<em>Lab_ID</em>).</p>
Dataset of clinical biomarkers for prediction of the arboviral infection severity using SIMON analysis
<p>The SISA dataset was used for the identification of clinical biomarkers that can predict the severity of the arboviral infection severity using SIMON analysis, as described (<a href="https://doi.org/10.1101/2020.08.16.252767">https://doi.org/10.1101/2020.08.16.252767</a>). The dataset contains clinical data from 543 individuals hospitalized due to the arboviral infection with Dengue, chikungunya, or Zika viruses from a surveillance study in Ecuador collected from 2013 to 2017 (Suppy et al., 2020, doi: 10.1371/journal.pntd.0007969). In the SISA dataset, we have excluded columns with high level of missing values (pregnancy, <em>WomPreg</em> and complete blood count test which was not performed for all donors and includes columns: <em>PLT_count, Lymphocytes, CBC_N%, WBC_calc </em>and<em> CBC_HCT</em>). Additionally, 9 donors with missing values were removed and SIMON analysis was performed with this final dataset.</p>
Data archive for the journal article: "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites"
<p>Data archive accompanying the peer-reviewed journal article "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites". In January 2021 this article was accepted for publication in the journal <em>Atmospheric Measurement </em><em>Techniques</em>. Data are uploaded in the form of Igor 8.0 graphics source files (.pxp) and data exported to Excel spreadsheet (.xlsx).</p>
No severe genetic bottleneck in a rapidly range-expanding bumblebee pollinator
<p>Genetic bottlenecking can limit the success of populations colonising new ranges. However, successful colonisations can occur despite bottlenecking, a phenomenon known as the genetic paradox of invasion. Eusocial Hymenoptera such as bumblebees (<em>Bombus</em> spp.) should be particularly vulnerable to genetic bottlenecking, since homozygosity at the sex-determining locus leads to costly diploid male production. The Tree Bumblebee (<em>B. hypnorum</em>) has rapidly colonised the UK since 2001 and has been highlighted as exemplifying the genetic paradox of invasion. Using microsatellite genotyping, combined with the first genetic estimates of diploid male production in UK B. hypnorum, we tested two alternative genetic hypotheses ('bottleneck' and 'gene flow' hypotheses) for B. hypnorum's colonisation of the UK. We found that the UK population has not undergone a recent severe genetic bottleneck and exhibits levels of genetic diversity falling between those of widespread and range-restricted<em> Bombus</em> species. Diploid males occurred in 15.4% of reared colonies, leading to an estimate of 21.5 alleles at the sex-determining locus. Overall, the findings show that this population is not bottlenecked, instead suggesting that it is experiencing continued gene flow from the continental European source population with only moderate loss of genetic diversity, and does not exemplify the genetic paradox of invasion.</p>
Data from: Differential impact of severe drought on infant mortality in two sympatric neotropical primates
<p>Extreme climate events can have important consequences for the dynamics of natural populations, and severe droughts are predicted to become more common and intense due to climate change. We analysed infant mortality in relation to drought in two primate species (white-faced capuchins, <i>Cebus capucinus imitator,</i> and Geoffroy's spider monkeys, <i>Ateles geoffroyi</i>) in a tropical dry forest in north-western Costa Rica. Our survival analyses combine several rare and valuable long-term data sets, including long-term primate life-history, landscape-scale fruit abundance, food-tree mortality, and climate conditions. Infant capuchins showed a threshold mortality response to drought, with exceptionally high mortality during a period of intense drought, but not during periods of moderate water shortage. In contrast, spider monkey females stopped reproducing during severe drought, and the mortality of infant spider monkeys peaked later during a period of low fruit abundance and high food-tree mortality linked to the drought. These divergent patterns implicate differing physiology, behaviour, or associated factors in shaping species-specific drought responses. Our findings link predictions about the Earth's changing climate to environmental influences on primate mortality risk and thereby improve our understanding of how the increasing severity and frequency of droughts will affect the dynamics and conservation of wild primates.</p>
Fig. 24 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 24. Internal views of juvenile specimens of Bennelongia gwelupensis. Top row. internal views of A-2 juveniles from Arro Swamp (LV on left and RV on right with appendages). Second row. details of internal views of anterior RV (tilted) of A-1 specimen from Katanning Road pool on left, and A-2 on right which is the same specimen as the image above, but tilted. Third row. internal views of A-1 juveniles from Katanning Road pool (LV on left and RV on right); same specimen as detail left above. Bottom row.detail of internal views of RV on left and of LV on right; both are the same A-1 specimens as the images above, to show that the pores on the cones connect with the inside of the valve.
Fig. 22 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 22. External views of carapaces of Bennelongia gwelupensis Martens et al., 2012 from Arro Swamp. Right lateral views in left column for adult, A-1 and A-2 specimens, and dorsal views on the right of A-1 and A-2 specimens. Note that the ornamentation becomes progressively more intricate at younger stages.
Fig. 20 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 20. Lateral views of carapaces of Bennelongia dedeckkeri Shearn et al., 2012 from Lake Dunn for the last 3 instars (A-3 to A-1) to show the changes in external ornamentation and the progressive disappearance of the domes and cones with ontogeny. Right lateral views are displayed in the top 3 left images, and left lateral views on the right. Details of the cones (bottom left) and the domes with fewer cones (bottom right) of A-3 specimens are portrayed. Note the presence of nodules stuck to the anterior portion of the valve of bottom left specimen.
Fig. 23 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 23. External views of Bennelongia gwelupensis Martens et al., 2012 from Katanning Road pool, except for the middle image on the right which shows an internal view of a LV. Top left image represents the right lateral view of an adult carapace, with the antero-ventral beak-like expansion of the LV. In the internal view of the A-1 LV, note the depressions seen internally that mirror the cones that occur externally. A prominent inner list is visible all along the periphery of the valve, except in the dorsal region. This latter feature is usually not seen in juveniles ostracods.
Fig. 21 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 21. Detailed views of carapaces of Bennelongia dedeckkeri Shearn et al., 2012 from Lake Dunn to show the domes in both images and 4 cones in the top image of an A-3 specimen, and only one cone in the image of an A-4 specimen. Note the interlacing reticulation around the domes, and the small nodes coating the valves, with 2 different diameters best seen to the right of the largest dome. These nodules are thought to be part of the valve ornamentation.
Fig. 18 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 18. Specimens of Bennelongia cf. barangaroo nov. sp. from McNeil Claypan, to show specific features of juvenile specimens. Top left image shows the poorly pronounced domes in the dorsal region of the LV of an A-3 specimen. Top right image shows an internal view of an A-3 that shows the less pronounced inner list and the depression located opposite the cones and the possible larger depression matching the external dome. The middle images show the cones with the lips near their apex. Bottom left image shows the larger pores on the inside of the valve, that are connected to the opening of each pore on the apex of each cone. Bottom right corner image shows the highly reticulated texture of an A-3 valve and the domes that are not as pronounced as in other Bennelongia species (e.g., compare to B. nimala nov. sp. in Fig. 3).
Fig. 14 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 14. Bennelongia kimberleyensis Martens et al., 2012 from Taylor's Lagoon. Lateral views of carapaces of different moult stages going from adult to A-3 specimens, plus a lateral view of a single LV of an A-4 specimen (bottom image) that is partly broken along its anterior margin. Top left image represents an adult showing the asymmetric valves, with the antero-ventral beak-like expansion of the LV that is the characteristic of most Bennelongia species in the adult stage. Right lateral views are in the left column, left lateral views are in right column. Note that the pseudo-punctation is more pronounced in the youngest stages compared to the almost smooth nature of the adult valve.
Fig. 19 in Extraordinary morphological changes in valve morphology during the ontogeny of several species of the Australian ostracod genus Bennelongia (Crustacea, Ostracoda)
Fig. 19. Dorsal views of carapaces of Bennelongia dedeckkeri Shearn et al., 2012 from Lake Dunn (Queensland) for the last 4 instars (A-4 to A-1) and the adult to show the changes in external ornamentation and the progressive disappearance of the domes and cones with ontogeny, such that at the adult stage, there is no ornamentation. Observe the presence of outer lists in all juvenile specimens clearly visible in the antero-dorsal region.
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.