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FIGURE 94 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 94. FMNH PR2081, Tyrannosaurus rex. Pubic shafts and feet. A, left lateral view; B, right lateral view; C, anterior view; D, posterior view. A-D taken after restoration. E, left lateral and F, right lateral views of this specimen show appearance prior to restoration. Scale = 30 cm. Photographs by J. Weinstein.
FIGURE 6 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 6. FMNH PR2081, Tyrannosaurus rex. Skull in anterior view. Scale = 30 cm. See Appendix 1 for abbreviations. Photograph by J. Weinstein.
FIGURE 110 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 110. FMNH PR2081, Tyrannosaurus rex. Muscle attachment scars associated with fourth trochanter (t4). A, cast of right femur in posteromedial view. B, closeup of right femur in posterior view with incedental light. Abbreviations in Appendix 1.
FIGURE 81 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 81. FMNH PR2081, Tyrannosaurus rex. Detail of right scapular blade showing muscle attachment scars. Abbreviations in Appendix 1. Photographs by J. Weinstein.
FIGURE 83 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 83. FMNH PR2081, Tyrannosaurus rex. Right coracoid in lateral view, showing pathological features. Scale =10 cm. Abbreviations in Appendix 1.
FIGURE 84 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 84. FMNH PR2081, Tyrannosaurus rex. Possible fragment of furcula in (A) anterior and (B) posterior view. C, Anterior view of thorax with furcula in place; rib shaft orientation shifts in the cervicodorsal transition, forming an "apron" for scapular attachment.
FIGURE 86 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 86. FMNH PR2081, Tyrannosaurus rex. Right ulna in (A) anterior, (D) medial, and (C) lateral view. Right radius in (A) medial and (B) lateral view. Scale = 5 cm. Abbreviations in Appendix 1. Photographs by J. Weinstein.
FIGURE 77 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 77. FMNH PR2081, Tyrannosaurus rex. Isolated bone possibly representing a rib for the last presacral vertebra (p17). Scale = 5 cm. Photograph by J. Weinstein.
FIGURE 49 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 49. FMNH PR2081, Tyrannosaurus rex. Cervical vertebrae (p2 through p9), posterior view. A is axis. Scale =15 cm. See Appendix 1 for abbreviations. Photographs by J. Weinstein.
FIGURE 37 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 37. FMNH PR2081, Tyrannosaurus rex. CT images of the ear. A, Horizontal slice showing features tentatively identified as the fenestra ovalis and fenestra pseudorotunda. B and C, Coronal slice showing what later proved to be the right stapes; C is an expansion of B, as indicated by the box. Abbreviations in Appendix 1.
FIGURE 26 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 26. FMNH PR2081, Tyrannosaurus rex. Right ectopterygoid recess as seen in a coronal slice through the skull. See Appendix 1 for abbreviations.
FIGURE 56 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 56. FMNH PR2081, Tyrannosaurus rex. Presacral vertebrae (p14 through p23), right lateral view. Scale =15 cm. See Appendix 1 for abbreviations. Photographs by J. Weinstein.
FIGURE 55 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 55. FMNH PR2081, Tyrannosaurus rex. Presacral vertebrae (p14 through p23), left lateral view. Scale =15 cm. See Appendix 1 for abbreviations. Photographs by J. Weinstein.
FIGURE 35 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 35. FMNH PR2081, Tyrannosaurus rex. Horizontal slices through braincase showing supraoccipital recess. Slices are 4.5 cm apart, with A ventral to B. Communication between the supraoccipital and exoccipital recesses can be seen on the left-hand side in A. Abbreviations in Appendix 1.
FIGURE 41 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 41. FMNH PR2081, Tyrannosaurus rex. Right dentary in medial view with the supradentary ossification removed, showing interdental plates. Scale = 10 cm. Abbreviations in Appendix 1. Photograph by J. Weinstein.
FIGURE 63 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 63. FMNH PR2081, Tyrannosaurus rex. Proximal ends of cervical ribs, medial view. Second (axial, A) through seventh (p7, F) and ninth (p9, G). All right elements except F, which has been reversed to preserve symmetry. Scale = 5 cm, abbreviations in Appendix 1. Photographs by J. Weinstein.
FIGURE 107 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 107. FMNH PR2081, Tyrannosaurus rex. Phalanges of right pes in lateral view. Scale = 10 cm. Photographs by J. Weinstein.
FIGURE 89 in Osteology of Tyrannosaurus rex: insights from a nearly complete skeleton and high-resolution computed tomographic analysis of the skull
FIGURE 89. FMNH PR2081, Tyrannosaurus rex. Articulated right manus, dorsal view. Scale = 5 cm. Photograph by J. Weinstein.
Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v2.0)
<p><strong>Agricultural land resources – a global suitability evaluation</strong></p> <p><em>An inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. Within the context of the GLUES project, researchers at the Ludwig-Maximilians University (LMU) investigated the global agricultural suitability of land under changing climate conditions at high spatial resolution. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes land use/cover change and trade-offs between different uses of land and ecosystem services. In order to ensure food security, agricultural potentials need to be used more efficiently in the future. Therefore, the agricultural suitability of land are important information e.g. in order to identify todays suitable areas and possible future changes. The potential suitability of todays forested and protected areas can be used to identify possible hotspots of land use/cover change. Therefore, LMU is working on improving the knowledge of global agricultural potentials of land and better understanding the interdependencies between ecological and socio-economic systems which are driving land use/cover change.</em></p> <p><strong>Determining Agricultural Suitability</strong></p> <p>Local climate, soil and topography determine the available energy, water and nutrient supply for agricultural crops and thus their natural suitability. In order to allow for computing the natural agricultural constraints on the globe at 30 arc seconds (1km) spatial resolution, the following high resolution data were applied:</p> <p>Daily data for temperature, precipitation and solar radiation from the global climate model ECHAM5. Soil data comes from the Harmonized World Soil Database (HWSD). Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Topography data was applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the crop’s suitability. It is considered on todays irrigated areas as given by the FAO Aquastat Global Maps of Irrigated Areas (GMIA) dataset. The determinant factors are contrasted with the crop-specific requirements, using a fuzzy-logic approach. The crop requirements are taken from literature.</p> <p><strong>Agricultural Suitability</strong></p> <p>General agricultural suitability at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Suitability Change due to Climate until 2100</strong></p> <p>Change in agricultural suitability and crop suitability due to climate change for SRES A1B scenario conditions for 16 crops between 1981-2010 and 2071-2100 at a spatial resolution of 30 arcsec.</p> <p><strong>Multiple Cropping</strong></p> <p>Potential number of suitable crop cycles for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Growing Cycle</strong></p> <p>Start of the growing cycle for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Further information</strong></p> <p>Detailled information are available in the following publication:<br> Zabel F., Putzenlechner B., Mauser W. (2014): <strong>Global agricultural land resources – a high resolution suitability evaluation and its perspectives until 2100 under climate change conditions. </strong> Online available: <a href="http://dx.plos.org/10.1371/journal.pone.0107522">PLOS ONE</a>. DOI: 10.1371/journal.pone.0107522</p> <p><strong>Improvements in v2.0</strong></p> <p>Compared to previous versions, v2.0 uses updated input data for soil and minor improvements of the statistical downscaling and the bias correction of the climate model data.</p> <p><strong>Contact</strong></p> <p>Please contact: Dr. Florian Zabel, <a href="mailto:f.zabel@lmu.de">f.zabel@lmu.de</a>, Department für Geographie, LMU München (<a href="http://www.geografie.uni-muenchen.de">www.geografie.uni-muenchen.de</a>)</p>
CoDEC Dataset - Data underlying the paper "A high-resolution global dataset of extreme sea levels, tides and storm surges including future projections "
<p>The world’s coastal areas are increasingly at risk of coastal flooding due to sea-level rise (SLR). We present a novel global dataset of extreme sea levels, the Coastal Dataset for the Evaluation of Climate Impact (CoDEC), which can be used to accurately map the impact of climate change on coastal regions around the world. The third generation Global Tide and Surge Model (GTSM), with a coastal resolution of 2.5 km (1.25 km in Europe), was used to simulate extreme sea levels for the ERA5 climate reanalysis from 1979 to 2017, as well as for future climate scenarios from 2040 to 2100. The validation against observed sea levels demonstrated a good performance, and the annual maxima had a mean bias (MB) of -0.04 m, which is 50% lower than the MB of the previous GTSR dataset. The CoDEC-ERA5 dataset is the successor of GTSR <a href="https://www.nature.com/articles/ncomms11969">(Muis et al., 2016)</a> and is based on the next generation climate and hydrodynamic models. The main improvements are summarized in Table 2 of the accompanying paper <a href="https://www.frontiersin.org/articles/10.3389/fmars.2020.00263/abstract">(Muis et al., 2020)</a>.</p> <p><br> </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.