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Figure 9 in Description of new cranial material of Propalorchestes (Marsupialia: Palorchestidae) from the Middle Miocene Camfield Beds, Northern Territory, Australia
Figure 9. Propalorchetes novaculacephalus reconstructed cranial sinus outline compared with Palorchestes azael as revealed in parasagittal section taken immediately left of midline to exclude sagittal septa: a, Propalorchetes novaculacephalus QVM2000GFV459 based of CT scan data; scale bar represents 5 cm: b, Palorchestes azael NMVP216490 represented at the size of Pr. novaculacephalus 9a, based on exposures of cranial fragments and CT scan data; scale bar represents 10 cm: c, Propalorchetes novaculacephalus QVM2000GFV459 represented to scale of P. azael NMVP216490 in 9b; scale bar represents 10 cm.
Figure 8 in Description of new cranial material of Propalorchestes (Marsupialia: Palorchestidae) from the Middle Miocene Camfield Beds, Northern Territory, Australia
Figure 8. Propalorchetes novaculacephalus endocranial and sinus volumes rendered by digital segmmentation of CT scan data from QVM200GFV459: a. dorsal; b. ventral; c. lateral; d. anterior; e. posterior views; endocranial cavity red; auditory, squamosal, parietal and frontal sinuses blue; labels indicate regions described; scale bar represents 5 cm.
Figure 7. Propalorchestes novaculacephalus QVM2000GFV459 in Description of new cranial material of Propalorchestes (Marsupialia: Palorchestidae) from the Middle Miocene Camfield Beds, Northern Territory, Australia
Figure 7. Propalorchestes novaculacephalus QVM2000GFV459 reconstructed outline with translucent overly of Pr. novaculacephalus NTMP8552-10 holotype cranial fragment, not to scale - holotype reduced by 90% to compare form, based on data from Murray (1986, Figs. 1, 2b, 3); a, dorsal view; b, posterior view; c, dorsal view including sinus volume rendering from CT data and schematic diagram overlay of holotype sinuses based on Murray (1986, Fig. 4d), note - outline graphic of NTMP8552-10 shows some posterior displacement; scale bar represents 5 cm for QVM2000GFV459 only.
Figure 3 in Description of new cranial material of Propalorchestes (Marsupialia: Palorchestidae) from the Middle Miocene Camfield Beds, Northern Territory, Australia
Figure 3. Propalorchetes novaculacephalus measured cranium outline diagram based on QVM2000GFV459: a, dorsal: b, ventral views of cranium; scale bar represents 5 cm.
Figure 6 in Description of new cranial material of Propalorchestes (Marsupialia: Palorchestidae) from the Middle Miocene Camfield Beds, Northern Territory, Australia
Figure 6. Propalorchetes novaculacephalus surface rendering based on CT scan data from QVM200GFV459; a. oblique anterodorsal view; b. oblique anteroventral view; labels indicate regions described; for interactive views, refer to the 3-D pdf in supplementary information; scale bar represents 5 cm.
Figure 1 in Description of new cranial material of Propalorchestes (Marsupialia: Palorchestidae) from the Middle Miocene Camfield Beds, Northern Territory, Australia
Figure 1. Bullock Creek regional geologic map showing the early to middle Miocene Camfield Beds and their relationship to Cambrian limestones and Neogene to recent drainage systems. Abridged from Wave Hill 1:250,000 Geological Map series, sheet SE 52-08, 2nd Ed, 2003. For fossil site details refer to Murray & Megirian (1992) and files held at the Northern Territory Museum.
Appendix A. Supplementary material for: Water-like thermal conductivity of ionanofluids containing high aspect ratio multi-walled carbon nanotubes and 1-ethyl-3-methylimidazolium-based ionic liquids with cyano-functionalized anions
<p><span>Experimental data in numerical form for INFs composed of CNTs and [Emim]-based ILs with cyano-functionalized anions: density (Table S1), viscosity (Tables S2–S5), thermal conductivity (Tables S6, S7), and ANOVA analysis (Table S8).</span></p>
Supplementary Materials: The molecular landscape of premature aging diseases defined by multilayer network exploration
<p>This dataset contains supplementary materials related to study "The molecular landscape of premature aging diseases defined by<br>multilayer network exploration" (Beust C., Valdeolivas A., Baptista A., Brière G., Lévy N., Ozisik O., Baudot A.)</p> <p>Supplementary Figures: <br>Supplementary Figure S1: Clustering of the premature aging disease communities obtained with 50 iterations of itRWR <br>Supplementary Figure S2: Clustering of the premature aging disease communities obtained with 150 iterations of itRWR <br>Supplementary Figure S3: Clustering of the premature aging disease communities obtained with 100 iteration of itRWR, with a cutoff value at 0.5 on the dendrogram </p> <p>Supplementary Tables: <br>Supplementary Table S1: Premature Aging HPO phenotypes <br>Supplementary Table S2:Tthe 67 PA diseases and their 132 associated genes from ORPHANET <br>Supplementary Table S3: Number of nodes, edges, and densities of the 4 network layers composing the multilayer biological network <br>Supplementary Table S4: Parameters used for MultiXrank </p> <p>Supplementary Files: <br>Supplementary File S1: Csv file containing the enrichment analysis results computed using the genes associated with physiological aging <br>Supplementary File S2: Excel file containing the gene nodes belonging to each of the 67 communities <br>Supplementary File S3: Excel file containing the gene nodes belonging to each cluster (i.e., the union of the genes belonging to the set of communities composing the cluster) <br>Supplementary File S4: Csv file containing the diseases belonging to each cluster <br>Supplementary File S5: Excel file containing the enrichment of clusters using lists of physiological aging genes <br>Supplementary File S6: Csv file containing the lists of genes differentially expressed in human blood, skin, brain, muscle and breast during aging, from the study of Irizar et al. <br>Supplementary File S7: Excel file containing the enrichment analysis results of the 67 communities, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations <br>Supplementary File S8: Excel file containing the enrichment analysis results of the 6 clusters, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations. The last 2 columns contain the seed nodes of the cluster annotated for the corresponding function and their corresponding diseases. <br>Supplementary File S8bis: Excel file containing the enrichment analysis results of the 8 clusters obtained with an alternative cutoff of 0.5 in the dendrogram, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations.<br>Supplementary File S9: Excel file containing enrichment analysis results of the 6 clusters, using HPO phenotypes </p> <p>Supplementary Text: <br>Supplementary Text S1: Comparison with alternative network exploration strategies, including classical (non- iterative) Random Walk with Restart, Multilayer network partitioning, and computation of network distances with shortest paths.</p> <p> </p> <p> </p>
Dataset: 5E Advanced Materials, Inc. (FEAM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Electra Battery Materials Corporation (ELBM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Global X Disruptive Materials ETF (DMAT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Applied Materials, Inc. (AMAT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Sprott Energy Transition Materials ETF (SETM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Invesco Dorsey Wright Basic Materials Momentum ETF (PYZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Invesco S&P SmallCap Materials ETF (PSCM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Origin Materials, Inc. (ORGNW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Origin Materials, Inc. (ORGN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Meta Materials Inc. (MMAT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: iShares Energy Storage & Materials ETF (IBAT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Supplementary material for "Cretaceous lacewing larvae with binocular vision demonstrate the convergent evolution of sophisticated simple eyes" by Haug C. et al.
<p>Supplementary matereial including R-Code and data for elliptic Fourier analysis for the publication: "<span>Cretaceous lacewing larvae with binocular vision demonstrate the convergent evolution of sophisticated simple eyes" </span></p> <p><span>Carolin Haug, Roland R. Melzer, Florian Braig, Simon J. Linhart, Derek E. G. Briggs, Alejandro Caballero, Yanzhe Fu, Gideon T. Haug, Marie K. Hörnig, Joachim T. Haug</span></p> <p> </p> <p><span>Abstract: </span></p> <p><span>Many insects and their relatives are renowned for sophisticated compound eyes, which are also preserved in the fossil record. Yet there are also other types of eyes, notably the so-called stemmata of holometabolans, such as beetles, bees, and butterflies. Stemmata are not as effective as compound eyes, except in some predatory larvae. Here we report three lacewing larvae with large forward-directed stemmata from Cretaceous Kachin amber, Myanmar. The stemmata are large relative to those of other fossil lacewing larvae, comparable to the simple eyes of modern larvae capable of image formation. The head is very wide in one larva, representing a new type of morphology as demonstrated by a quantitative comparison of the head and stylets of over 400 fossil and extant lacewing larvae. The arrangement of the exceptionally large stemmata of the larvae reported here provides stereoscopic vision. These new specimens demonstrate the convergent evolution of highly developed simple eyes in at least two additional lineages of lacewings, showcasing the enormous diversity of lacewing larvae in the Cretaceous.</span></p>
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.