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Cipher System T310/50, main unit (Inv. 1997-15T1)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Cipher System T310/50, main unit<br> Inv.-No. of the Deutsches Museum: 1997-15T1</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.668<br> Y pixel spacing: 0.670<br> Z pixel spacing: 0.501<br> grid size x: 1675<br> grid size y: 1448<br> grid size z: 1559<br> color depth: 16Bit</p> <p><br> ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: <a href="https://digital.deutsches-museum.de">Deutsches Museum</a><br> IP holder: Deutsches Museum<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
Fig. 11 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 11. Biogeographic distribution of dortokid turtles during the Early Cretaceous modified from Cadena and Joyce (2015), Perez-García et al. (2017) and Augustin et al. (2021).
Fig. 10 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 10. Appendicular elements of IWCMS 2018.44. A-F, Right humerus; G-L, proximal end of the left humerus; M-R, right femur; S-X, proximal end of the right fibula; Y-AD, distal end of the right tibia; in ventral (A,G,M,S,Y), posterior (B,H,N,T,Z), dorsal (C,I,O,U,AA), anterior (D,J,P,V,AB), medial (E,K,Q,W,AC), and distal (F,L,R,X,AD) views.
Fig. 8 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 8. Elements of the girdles of IWCMS 2018.44. A-F, right scapula; G-L, left scapula; M-R, proximal end of the right coracoid; S-X, left coracoid. These elements are shown in posterior (A,G,M,S), ventral (B,H,O,V), dorsal (C,I,P,T), anterior (D,J,N,U), proximal (E,K,Q,W), and distal (F,L,R,X) views.
Fig. 9 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 9. Visceral view of the left hypoplastron and xiphiplastron with the left pelvis (A), and virtually removing the pelvis (B) to show the pubic scar of IWCMS 2018.44. C-N, Left (C- H) and right (I-N) pelvis in posterior (C,I), anterior (D,J), dorsal (E,K), ventral (F,L), medial (G,M), and lateral (H,N) views. Abbreviations: hyp, hypoplastron; il, illium; is, ischium; ob, obturator foramen; ps, pubic scar; pu, pubis; xi, xiphiplastron.
Fig. 6 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 6. Dorsal vertebrae of IWCMS 2018.44. A-F, complete dorsal vertebra with fused neural; G-L, dorsal vertebra centrum; M-R, dorsal vertebra centrum; S-X, complete dorsal vertebra; Y-AD, neural arch of a posterior dorsal vertebra. All of them are shown in left lateral (A,G,M,S,Y), right lateral (B,H,N,T,Z), anterior (C,I,O,U,AA), posterior (D,J,P,V,AB), dorsal (E,K,Q,W,AC), and ventral (F,L,R,X,AD) views.
Fig. 5 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 5. Cervical vertebrae of IWCMS 2018.44. A-F, neural arch of the axis (cervical vertebra 2); G-L, cervical vertebra 3; M-R, cervical vertebra 4; S-X, cervical vertebra 5; Y-AD, cervical vertebra 6; AE-AJ, cervical vertebra 7; AK-AP, cervical vertebra 8. All of them are shown in left lateral (A,G,M,S,Y,AE,AK), right lateral (B,H,N,T,Z,AF,AL), anterior (C,I,O,U,AA,AG,AM), posterior (D,J,P,V,AB,AH,AN), dorsal (E,K,Q,W,AC,AI,AO), and ventral (F,L,R,X,AD,AJ,AP) views.
Fig. 4. IWCMS 2018.44 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 4. IWCMS 2018.44, partial skeleton of Eodortoka cf. morellana. A,C,E, virtual three-dimensional reconstruction of the left shell plates and of the bones preserved inside the specimen; B,D,F, virtual three-dimensional reconstruction of the bones virtually removing the shell, in dorsal (A,B), ventral (C,D), and left lateral (E,F) views. The anterior and posterior ends of the shell cannot be reconstructed because they were not accurately scanned (black in A, E). The plates of the shell and the bones were reconstructed independently (shell plates in yellow, vertebrae in green, appendicular bones in blue, and girdles in pink). Abbreviations: c, costal; cav, caudal vertebra; cev7, seventh cervical vertebra; cev8, eighth cervical vertebra; dv, dorsal vertebra; hyo, hyoplastron; hyp, hypoplastron; lcor, left coracoid; lhu, left humerus; lil, left illium; lis; left ischium; lsc, left scapula; me, mesoplastron; ne, neural; p, peripheral; rfe, right femur; rfi, right fibula; rhu; right humerus; rpu, right pubis; rsc, right scapula; rti, right tibia; sv, sacral vertebra; xi, xiphiplastron.
Fig. 1 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 1. Geology of the Isle of Wight showing the discovery site of Eodortoka cf. morellana IWCMS.2018.44 from the Wessex Formation. A, Map of the Isle of Wight with the locality indicated by a red star, modified from Gale (2019). B, Simplified stratigraphic column of the Wessex Formation of Compton and Brook Bays, with range of original horizon shown. C, Photo of Brook Bay showing the exposed Wessex Formation, with an arrow indicating where the specimen was found.
Fig. 2 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 2. Tera Wasserburg plot of turtle calcite 206Pb/238U intercept age. Quoted ages include propagated 2% long-term reproducibility of secondary reference material.
Fig. 3. IWCMS 2018.44 in A well preserved pan-pleurodiran (Dortokidae) turtle from the English Lower Cretaceous and the first radiometric date for the Wessex Formation (Hauterivian-Barremian) of the Isle of Wight, United Kingdom
Fig. 3. IWCMS 2018.44, partial skeleton of Eodortoka cf. morellana. A, dorsal view, B, ventral view, C, anterior view, D, posterior view, E, left lateral view, F, right lateral view. G-H, details of the ornamental pattern on the outer surface of the shell, at the level of the left first costal (G) and of the left hypoplastron (H).
Forests on the move: Tracking climate-related treeline changes in mountains of the northeastern United States
<div><em>Aim</em></div> <div>Alpine treeline ecotones are influenced by environmental drivers and are anticipated to shift their locations in response to changing climate. Our goal was to determine the extent of recent climate-induced treeline advance in the northeastern United States, and we hypothesized that treelines have advanced upslope in complex ways depending on treeline structure and environmental conditions.</div> <div> </div> <div><em>Location</em></div> <div>White Mountain National Forest (New Hampshire) and Baxter State Park (Maine), USA.</div> <div> </div> <div><em>Taxon</em></div> <div>High-elevation trees – <em>Abies balsamea, Picea mariana, and Betula cordata</em>. </div> <div> </div> <div><em>Methods</em></div> <div>We compared current and historical high-resolution aerial imagery to quantify the advance of treelines over the last four decades, and link treeline changes to treeline form (demography) and environmental drivers. Spatial analyses were coupled with ground surveys of forest vegetation and topographical features to ground-truth treeline classification and provide information on treeline demography and additional potential drivers of treeline locations. We used multiple linear regression models to examine the importance of both topographic and climatic variables on treeline advance.</div> <div> </div> <div><em>Results</em></div> <div>Regional treelines have significantly shifted upslope over the past several decades (on average by 3 m/decade). Diffuse treelines (low tree densities and temperature limited) experienced significantly greater upslope shifts (5 m/decade) compared to other treeline forms, suggesting that both climate warming and treeline demography are important drivers of treeline shifts. Topographical features (slope, aspect) as well as climate (accumulated growing degree days, AGDD) explained significant variation in the magnitude of treeline advance (R<sup>2</sup> = 0.32).</div> <div> </div> <div><em>Main conclusions</em></div> <div>The observed advance of regional treelines suggests that climate warming induces upslope treeline shifts particularly at higher elevations where greater upslope shifts occurred in areas with lower AGDD. Overall, our findings suggest that diffuse treelines at high-elevations are more a of a result of climate warming than other alpine treeline ecotones and thus they can serve as key indicators of ongoing climatic changes.</div>
Hydro-geomorphic unit hydrograph dataset of catchments across the Tibetan Plateau
<p>a hydro-geomorphic unit hydrograph dataset that characterizes the rainfall and runoff response relationship in 18440 catchments from the HydroBASINS dataset across the Tibetan Plateau has been produced based on the WFIUH extraction framework. Additionally, this dataset includes 18 attributes pertaining to the basic shape and geomorphic characteristics of 18440 HydroBASINS catchments.</p>
Data from: The role of governance in rewilding the United States to stem the biodiversity crisis
<p class="p1">A critical, yet underattended, feature of the biodiversity crisis is the contraction of geographic range experienced by most studied terrestrial vertebrates. In the United States, the primary policy tool for mitigating the biodiversity crisis is the Endangered Species Act (ESA). For the past two decades, the federal agencies that administer the ESA have interpreted the act in a manner that precludes treating this geographic element of the crisis. Therefore, the burden of mitigating the biodiversity crisis largely falls on state wildlife agencies, which are obligated to operate on behalf of the interests of their constituents. We present survey research indicating that most constituents expect state agencies to prioritize species restoration over other activities, including hunting. This prioritization holds even among self-identified hunters, which is significant since state agencies often take the provisioning of hunting opportunities as their top priority. By prioritizing rewilding efforts that restore native species instead, state agencies could unify hunting and non-hunting constituents while simultaneously stemming the biodiversity crisis.</p>
Metabolizable energy and biomass of plants consumed by caribou (Rangifer tarandus) in tundra communities of northern Alaska and deer (Odocoileus spp.) in forests and grasslands of Washington, United States of America
<p>A ubiquitous interaction operates at the base of food webs in many terrestrial ecosystems of the world, creating the foundation for bottom-up regulation of consumers. This interaction plays out as follows. Populations of herbivores deplete plant biomass by foraging. Increasing herbivore population size intensifies this depletion, which in turn, creates a negative feedback regulating herbivore population growth. Large herbivores and the plants they consume offer a useful system for studying this interaction because populations of large herbivores are often regulated by density dependence, defined as the reduction in the per-capita growth rate that occurs as populations grow. Diminished body mass of individuals has been repeatedly observed in high-density populations, implicating plant-mediated, diminished nutrition as the primary cause of density dependence. However, there is no general explanation for why these nutritional deficiencies occur. The data deposited here were used to demonstrate fit new model of the feedbacks from plant biomass to herbivores. The model shows how reduced nutrition of herbivores can result from increased dilution of metabolizable energy in the plant tissue they consume as populations grow even when a large fraction of the consumable plant biomass remains uneaten. This result provides a tidy, mechanistic explanation for bottom-up control of population dynamics of primary consumers in a "green world." </p>
Real-world human-robot interaction data with robotic pets in user homes in the United States and South Korea
<p>Socially-assistive robots (SARs) hold significant potential to transform the management of chronic healthcare conditions (e.g. diabetes, Alzheimer's, dementia) outside the clinic walls. However doing so entails embedding such autonomous robots into people's daily lives and home living environments, which are deeply shaped by the cultural and geographic locations within which they are situated. That begs the question of whether we can design autonomous interactive behaviors between SARs and humans based on universal machine learning (ML) and deep learning (DL) models of robotic sensor data that would work across such diverse environments. To investigate this, we conducted a long-term user study with 26 participants across two diverse locations (the United States and South Korea) with SARs deployed in each user's home for several weeks. We collected robotic sensor data every second of every day, combined with sophisticated ecological momentary assessment (EMA) sampling techniques, to generate a large-scale dataset of over 270 million data points representing 173 hours of randomly-sampled naturalistic interaction data between the human and robot pet. Interaction behaviors included activities like playing, petting, talking, cooking, etc.</p>
The Risk of Venous Thromboembolism in Systemic Inflammatory Disorders: a United Kingdom (UK) Matched Cohort Study
ClinicalTrials.gov study NCT03835780. IPD Sharing: YES. Countries: 1. Publications: 2.
Vision Restoration With a Collagen Crosslinked Boston Keratoprosthesis Unit
ClinicalTrials.gov study NCT02863809. IPD Sharing: NO. Countries: 1. Publications: 1.
Optimizing bikeshare service to connect affordable housing units with transit services
Open the record for dataset details and reuse information.
Documenting twenty years of the contracted labor-intensive forestry workforce on National Forest System lands in the United States
Open the record for dataset details and reuse information.
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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.