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Fig. 2 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 2 RoguePlot placement of Metopiinae fossil Triclistus levii sp. nov. before and after micro-CT scanning. The plots include all branches from the majority-rule consensus tree where the attachment probability was higher than 1%. A Triclistus levii sp. nov. with colours indicating newly revealed body characteristics after the CT scan. Blue colouration represents newly added measurements; orange highlights either newly coded characters or characters where states could be reduced after the CT scan. B Placement before CT scanning. C Placement after CT scanning
Fig. 5 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 5 RoguePlot placement of Phygadeuontinae fossil Magnocula sarcophaga gen. et sp. nov. before and after micro-CT scanning. The plots include all branches from the majority-rule consensus tree where the attachment probability was higher than 1%. A Magnocula sarcophaga gen. et sp. nov. with colours indicating newly revealed body characteristics. Blue colouration represents newly added measurements; orange highlights either newly coded characters or characters where states could be reduced after the CT scan. B Placement before CT scanning. C Placement after CT scanning
Fig. 4 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 4 RoguePlot placement of Rhyssinae fossil Rhyssa gulliveri sp. nov. before and after micro-CT scanning. The plots include all branches from the majority-rule consensus tree where the attachment probability was higher than 1%. A Rhyssa guliveri sp. nov. with colours indicating newly revealed body characteristics. Blue colouration represents newly added measurements; orange highlights either newly coded characters or characters where states could be reduced after the CT scan. B Placement before CT scanning. C Placement after CT scanning
Figure 7 in Developing an advanced information system to support ballast water management
Figure 7. The application of the on-demand visualization tool for assessing the risk of ballast water sourced from Providence, USA and discharged in Louisbourg, Canada.
Figure 4 in Developing an advanced information system to support ballast water management
Figure 4. An example two-level report for Incoming Vessels by Arrival Date. Level one is displayed on the left and level two is displayed on the right.
Figure 6 in Developing an advanced information system to support ballast water management
Figure 6. An example Risk Map showing environmental risk between source port Boston, USA and destination port Saint John, Canada.
Figure 5 in Developing an advanced information system to support ballast water management
Figure 5. An example two-level report for Ballast Discharge Amount (m3) by Tank Discharge Date. Level one is displayed on the left and level two is displayed on the right.
Figure 2 in Developing an advanced information system to support ballast water management
Figure 2. The Ballast Water Information System provides services to Operational Team, Data Users, Vessel Operators, and System Administrators such as: 1) facilitating data entry, validation and verification for Ballast Water Reporting Forms (BWRFs); 2) providing a search functionality for BWRFs; 3) providing basic reports on BWRF data; and 4) implementing research on risk assessment to build decision-support reports.
Source Data for Supplementary Information of "Expanding the substrate scope of PylRS enzymes to include non-⍺-amino acids in vitro and in vivo"
<p>The attached excel file contains the source data for LC-MS traces shown in the Supplementary Information of the paper "Expanding the substrate scope of PylRS enzymes to include non-⍺-amino acids in vitro and in vivo." Each graph is contained in a tab and labeled with the Supplementary Figure number and panel with which it is associated.</p>
Data from: In vitro to in vivo extrapolation from three-dimensional hiPSC-derived cardiac microtissues and physiologically based pharmacokinetic modeling to inform next-generation arrythmia risk assessment
<p>Proarrhythmic cardiotoxicity remains a substantial barrier to drug development as well as a major global health challenge. <em>In vitro</em> human pluripotent stem cell-based new approach methodologies have been increasingly proposed and employed as alternatives to existing <em>in vitro</em> and <em>in vivo</em> models that do not accurately recapitulate human cardiac electrophysiology or cardiotoxicity risk. In this study, we expanded the capacity of our previously established three-dimensional human cardiac microtissue model to perform quantitative risk assessment by combining it with a physiologically based pharmacokinetic model, allowing a direct comparison of potentially harmful concentrations predicted <em>in vitro</em> to <em>in vivo</em> therapeutic levels. This approach enabled the measurement of concentration responses and margins of exposure for two physiologically relevant metrics of proarrhythmic risk (<em>i.e.</em>, action potential duration and triangulation assessed by optical mapping) across concentrations spanning three orders of magnitude. The combination of both metrics enabled accurate proarrhythmic risk assessment of four compounds with a range of known proarrhythmic risk profiles (<em>i.e., </em>quinidine, cisapride, ranolazine, and verapamil) and demonstrated close agreement with their known clinical effects. Action potential triangulation was found to be a more sensitive metric for predicting proarrhythmic risk associated with the primary mechanism of concern for pharmaceutical-induced fatal ventricular arrhythmias, delayed cardiac repolarization due to inhibition of the rapid delayed rectifier potassium channel, or hERG channel. This study advances human induced pluripotent stem cell-based three-dimensional cardiac tissue models as new approach methodologies that enable <em>in vitro</em> proarrhythmic risk assessment with high precision of quantitative metrics for understanding clinically relevant cardiotoxicity.</p>
Supplementary information: Subsistence and Population development from the Middle Neolithic B (2800-2350 BCE) to the Late Neolithic (2350-1700 BCE) in Southern Scandinavia
<p>This is the supplementary information of the paper “Subsistence and Population development from the Middle Neolithic B (2800-2350 BCE) to the Late Neolithic (2350-1700 BCE) in Southern Scandinavia” (DOI: tba). Please consult the publication for in depth description of the data, its context and for the method applied on the data, as well as references to primary sources. Requirements to be installed to run the scripts: Python 3 (https://www.python.org/) with the packages numpy (https://numpy.org/), pandas (https://pandas.pydata.org/), matplotlib (https://matplotlib.org/), seaborn (https://seaborn.pydata.org/) and scipy (https://scipy.org/); all included in Ancaonda (Python-Distribution, https://www.anaconda.com/). R (https://cran.r-project.org/) with the packages here (https://cran.r-project.org/web/packages/here/index.html) and rcarbon (https://cran.r-project.org/web/packages/rcarbon/index.html), tidyverse, vegan, ggplot2, reshape2, RcppRoll. </p>
Fig. 1 in Can maxillary canal morphology inform varanopid phylogenetic affinities?
Fig. 1. Lateral view of the maxillary canal in left lateral view. A. Orovenator mayorum Reisz, Modesto, and Scott, 2011 (OMNH 74606) from the lower Permian of the Dolese Brothers Limestone Quarry (Oklahoma, USA). B. Prolacerta broomi Parrington, 1935 (UCMP 7151, mirrored for comparison) from the Lower Triassic of Big Bank (Harrismith District, South Africa). C. Heleosaurus scholtzi Broom, 1907 (CGRMS353) from the middle Permian of South Africa. D. Varanosaurus acutirostris Broili, 1904 (FMNH PR 1670) from the lower Permian Wellington Formation (Garvin County, Oklahoma, USA). The maxillary canal is in green, the maxillary sinus is in purple, and the skull is transparent. Circles represent the position of a structure not visible in lateral view. Abbreviations: 1, conical cavity; 2, main trunk of the maxillary canal; 3, caudal section of the maxillary canal; 4, caudally extended side branches.
Figure 2 in C. H. McLennan ('Mallee Bird') and his Aboriginal informant Jowley: The source of early records of the Night Parrot Pezoporus occidentalis in Victoria?
Figure 2. Participants at a reception held for Gregory Mathews by the 1914 RAOU Council at Melbourne's Royal Botanic Gardens on 10 March 1914. From left to right the participants are: Dr J. Leach, L. Chandler, C. McLennan, C. Barrett, A.J. Campbell, D. Le Souef, T. Tregellas, Z. Grey and G. Mathews.
FIGURE 8 in A new perspective on the molecular dating of the brown trout complex with an extended phylogeographic information on the species in Serbia
FIGURE 8 Simplified palinspastic map for the Pliocene (compiled and modified after Popov et al., 2004, 2006; Neubauer et al., 2015) with the indication of hypothetic BT colonization routes (arrows). Interrupted lines mark migration routes that are, in our opinion, less likely. Green areas represent brackish environments, light blue freshwater lakes or marshes and rivers, dark blue seas, dark gray mountain ranges, and light gray land mass; all geographic features are tentatively positioned. 1 – Ancestral trout originated in the Ponto-Caspian system and crossed from the paleo-Danube into the Western Mediterranean basin via stream capture of Alpine rivers in Pliocene; 2 – Ancestral trout originated in the Balkans basin and colonized other parts of the Mediterranean Basin from here; 3 – Colonization of the Central Alps took place in the Pliocene after the paleo-Rhône separated from the paleo-Danube and reached the Mediterranean; 4 – Atlantic basin was colonized when the Rhine captured Central Alpine rivers; 5 – Atlantic basin was colonized along the Mediterranean coastline and via Gibraltar; 6 – Ponto-Caspian basin was colonized from the Mediterranean basin following a presumed sea corridor in the upper Euphrates valley or using the paleo-Euphrates, which might have been connected with the Mediterranean until the Middle Pliocene; 7 – Ponto-Caspian basin was colonized via a possible Pliocene gateway that connected the Dacic basin and the Aegean Sea; 8 – Ponto-Caspian basin was colonized through the Bosphorus gateway.
FIGURE 6 in A new perspective on the molecular dating of the brown trout complex with an extended phylogeographic information on the species in Serbia
FIGURE 6 Split graph of the Neighbor-Net phylogenetic network analysis of brown trout lineages. The colors of the haplotypes represent different lineages, and the scale bar represents the nucleotide substitutions per site.
FIGURE 4 in A new perspective on the molecular dating of the brown trout complex with an extended phylogeographic information on the species in Serbia
FIGURE 4 Median-joining network of CR mtDNA sequences belonging to Danubian haplogroups. Haplotypes are represented by colored circles whose size is proportional to haplotype frequencies detected and taken from the literature (supplementary tables S2 and S3). Haplotypes from this study are bolded and framed. Mutations are represented by hatch marks on the lines connecting the haplotypes. Missing or theoretical haplotypes are shown as black dots. The maps show the distribution of haplotypes from the network (A – DA-ES haplotypes, B – DA-INT haplotypes, C – DA-BS haplotypes), and their numbering corresponds to that in supplementary table S2.
FIGURE 3 in A new perspective on the molecular dating of the brown trout complex with an extended phylogeographic information on the species in Serbia
FIGURE 3 Reconstruction of the sequence evolution in the Danubian lineage. Defining variable nucleotide sites in the control region are all placed nearby in the central part of the control region, between the nucleotide positions 540-550 of our alignment. The 542 G → C transversion defines the split of the DAES + DA-INT and the DA-BS; 541 G → A split of the DA-ES + DA-INT (excluding DaBS9) from the DaBS9 haplotype; and 548 C → T defines the DA-ES.
FIGURE 7 in A new perspective on the molecular dating of the brown trout complex with an extended phylogeographic information on the species in Serbia
FIGURE 7 Fossil and geologically calibrated chronogram of the genus Salmo created with a relaxed clock in BEAST 2. 95% highest posterior density (HPD) intervals are shown as gray bars at the nodes. Calibration points are indicated by arrows. Median node ages are shown as node labels. Time estimates are given in millions of years. Clades, that were a priori treated as monophyletic are indicated with a black star, while a red star indicates the clade, where posterior probability was> 90% only in BEAST analysis.
Dataset: Cass Information Systems, Inc. (CASS) 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 Information Technology ETF (PSCT) 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.
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.