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270 results for “crater”
Database of partially and completely buried craters in the northern smooth plains of Mercury
<p>This table is the database of all the partially and completely buried craters identified in the northern smooth plains of Mercury. Crater classes: A: rim-completely-exposed craters in smooth plains; B: rim-completely-exposed craters on smooth-plains/cratered-terrain boundaries; C: rim-partially-exposed craters in smooth plains; D: rim-partially-exposed craters on smooth-plains/cratered-terrain boundaries; E: rim-completely-buried craters in smooth plains. </p>
Supplementary material for the paper "Paleoenvironment Implications of Layered Ejecta Craters in Chryse Planitia, Mars"
<p>The compressed file contains the spatial crater count (scc) files for crater dating, results of randomness analysis tests and derived model ages with different chronology systems.</p> <p>Table S1 lists all the identified layered ejecta craters in the Chryse Planitia, with a 5-m-per-pixel high resolution context camera (CTX) mosaic as a base map. </p> <p>Table S2 lists all the dating results for selected layered ejecta craters in the Chryse Planitia.</p>
Data from: Genomic islands of speciation separate cichlid ecomorphs in an East African crater lake
The genomic causes and effects of divergent ecological selection during speciation are still poorly understood. Here we report the discovery and detailed characterization of early-stage adaptive divergence of two cichlid fish ecomorphs in a small (700 meters in diameter) isolated crater lake in Tanzania. The ecomorphs differ in depth preference, male breeding color, body shape, diet, and trophic morphology. With whole-genome sequences of 146 fish, we identified 98 clearly demarcated genomic "islands" of high differentiation and demonstrated the association of genotypes across these islands with divergent mate preferences. The islands contain candidate adaptive genes enriched for functions in sensory perception (including rhodopsin and other twilight-vision–associated genes), hormone signaling, and morphogenesis. Our study suggests mechanisms and genomic regions that may play a role in the closely related mega-radiation of Lake Malawi.
Data from: Weak disruptive selection and incomplete phenotypic divergence in two classic examples of sympatric speciation: Cameroon crater lake cichlids
Recent documentation of a few compelling examples of sympatric speciation led to a proliferation of theoretical models. Unfortunately, plausible examples from nature have rarely been used to test model predictions, such as the initial presence of strong disruptive selection. Here I estimated the form and strength of selection in two classic examples of sympatric speciation: radiations of Cameroon cichlids restricted to lakes Barombi Mbo and Ejagham. I measured five functional traits and relative growth rates in over 500 individuals within incipient species complexes from each lake. Disruptive selection was prevalent in both groups on single and multivariate trait axes, but weak relative to stabilizing selection on other traits and most published estimates of disruptive selection. Furthermore, despite genetic structure, assortative mating, and bimodal species-diagnostic coloration, trait distributions were unimodal in both species complexes, indicating the earliest stages of speciation. Long waiting times or incomplete sympatric speciation may result when disruptive selection is initially weak. Alternatively, I present evidence of additional constraints in both species complexes, including weak linkage between coloration and morphology, reduced morphological variance aligned with nonlinear selection surfaces, and minimal ecological divergence. While other species within these radiations show complete phenotypic separation, morphological and ecological divergence in these species complexes may be slow or incomplete outside optimal parameter ranges, in contrast to rapid divergence of their sexual coloration.
Data from: Parental coordination with respect to colour polymorphism in a crater lake fish
In many taxa, success in parental care requires the coordinated efforts of both parents. Given the evolutionary potential of parental performance, as well as phenotype-related behavioural differences, it is surprising that parental coordination in polymorphic species has attracted only very limited research attention. To redress this gap, I combined multiple approaches to assess parental performance and coordination of parental effort in the colour polymorphic and biparental cichlid fish, Amphilophus sagittae, in its natural crater lake habitat. I compared parents of the two colour morphs, dark and gold, as well as pairs that had mated colour assortatively ('same colour' pairs) versus disassortatively ('mixed' pairs). The two morphs differed in terms of a higher than expected number of single gold morph parents. Interestingly, parental coordination, in terms of the size of the defended territory and the rate of aggressive responses towards natural territory intruders, was lower in mixed than same colour pairs. Mixed pairs also had their territories in deeper water. However, no pair type differences in early survival of biparentally defended broods were detected. The findings contribute towards a better understanding of the role of parental coordination in polymorphic species, highlighting the importance of considering parental effort, coordination, and performance in the context of the dynamics of (colour) polymorphisms in the wild. Indeed, if the observed behavioural differences will translate into negative fitness effects for mixed pairs, parental performance can also provide a mechanism selecting for colour assortative mating and restricting gene flow under mating regimes that are not completely assortative.
Monumental crater, Tarraco (Tarragona, Spain)
Monumental crater from the site of Tarraco (Tarragona, Spain), dated in the 2nd century AD. Marble fragment of a monumental crater with the representation of Bacchus -or a young satyr- and silenus, adorned with crowns of ivy leaves, vine leaves and grapes. It would have been part of the urban furniture in the Provincial Forum of Tarraco. 1462 photos completely processed in Reality Capture. The project was done with the support of the National Archaeological Museum of Tarragona and the Agència Catalana del Patrimoni Cultural. Catalog No. MNAT 45459. Museu Nacional Arqueològic de Tarragona (2019): Tarraco: Exposición de síntesis. Generalitat de Catalunya Publicacions. Source: Objaverse 1.0 / Sketchfab
FIGURE 4. A–D in Comments on cladocerans of crater lakes of the Nevado de Toluca Volcano (Central Mexico), with the description of a new species, Alona manueli sp. nov.
FIGURE 4. A–D, Alonella pulchella Herrick, 1884 from Lago de la Luna Lake, volcano Nevado de Toluca, State of Mexico, parthenogenetic female: A, lateral view. B, sculpture of valves. C, postero-ventral corner of valves. D, postabdomen. E–H, Pleuroxus cf. denticulatus Birge, 1879 from Lago del Sol lake, volcano Nevado de Toluca, State of Mexico, parthenogenetic female: E, lateral view. F, postero-ventral corner of valves. G, postabdomen. H, distal marginal denticles of postabdomen. Scale bars denote 0.1 mm for A, G and E, F, 0.05 mm for B–D, F, H.
FIGURE 2 in Comments on cladocerans of crater lakes of the Nevado de Toluca Volcano (Central Mexico), with the description of a new species, Alona manueli sp. nov.
FIGURE 2. Alona manueli sp. nov. from Lago de la Luna Lake, volcano Nevado de Toluca, State of Mexico. A–F, adult parthenogenetic female. A, posteroventral corner of valves. B, labrum. C–D, postabdomen. E, antennule. F, antenna. G–H, adult male. G, postabdomen. H, antennule. Scale bar denotes 0.05 mm.
FIGURE 1 in Comments on cladocerans of crater lakes of the Nevado de Toluca Volcano (Central Mexico), with the description of a new species, Alona manueli sp. nov.
FIGURE 1. Alona manueli sp. nov. from Lago de la Luna Lake, volcano Nevado de Toluca, State of Mexico. A, juvenile female of instar I. B–С, juvenile female of instar II: B, lateral view. C, head shield. D–K, adult parthenogenetic female: D–E, lateral view (D—holotype). F, ventral margin of valves. G–I, head shield. J–K, head pores. L, adult male, outline of the body. Scale bars denote 0.1 mm for A–E, G–I, L and F, 0.05 mm for J–K.
FIGURE 3 in Comments on cladocerans of crater lakes of the Nevado de Toluca Volcano (Central Mexico), with the description of a new species, Alona manueli sp. nov.
FIGURE 3. Alona manueli sp. nov. from Lago de la Luna Lake, volcano Nevado de Toluca, State of Mexico. A–K, limbs of parthenogenetic female. A, limb I. B, IDL and ODL of limb I. C, limb II. D, exopodite of limb II. E, exopodite of limb III. F–G, inner portion of limb III. H, exopodite of limb IV. I, inner portion of limb IV. J, exopodite of limb V. K, inner portion of limb V. L–N, limb I of adult male. L, ventral margin of the limb. M, IDL and copulatory hook. M, copulatory hook. Scale bar denotes 0.05 mm.
Data for the paper "Effects of surface and subsurface water/ice on spatial distributions of impact crater ejecta on Mars"
<p>This file contains input data for iSALE simulations reported in the publication:</p><p><i>"</i>Effects of surface and subsurface water/ice on spatial distributions of impact crater ejecta on Mars<i> by Aleksandra Sokolowska, Nicolas Thomas, and Kai Wuennemann</i></p>
Geo-stratigraphic map of Tsiolkovskiy crater (Moon, Far side)
<p>Geo-stratigraphic map of the lunar far side Tsiolkovskiy crater: GIS project and map sheet.</p>
LRO Craters (COCO)
<p>This remarkable dataset of lunar images captured by the LRO Camera has been meticulously labeled in COCO format for object detection tasks in computer vision. The COCO annotation format provides a standardized way of describing objects in the images, including their locations and class labels, enabling machine learning algorithms to learn to recognize and detect objects in the images more accurately.</p> <p>This dataset captures a wide variety of lunar features, including craters, mountains, and other geological formations, all labeled with precise and consistent COCO annotation. The dataset's comprehensive coverage of craters and other geological features on the Moon provides a treasure trove of data and insights into the evolution of our closest celestial neighbor.</p> <p>The COCO annotation format is particularly well-suited for handling complex scenes with multiple objects, occlusions, and overlapping objects. With the precise labeling of objects provided by COCO annotation, this dataset enables researchers and scientists to train machine learning algorithms to automatically detect and analyze these features in large datasets.</p> <p>In conclusion, this valuable dataset of lunar images labeled in COCO annotation format provides a powerful tool for research and discovery in the field of planetary science. With its comprehensive coverage and precise labeling of lunar features, it offers a wealth of data and insights into the evolution of the Moon's landscape, facilitating research and understanding of this enigmatic celestial body.</p>
Deep learning detects entire multiple-size Lunar craters driven by elevation data and topographic knowledge
Open the record for dataset details and reuse information.
Cataloged fresh craters of "Subsurface heterogeneity of light plains formed by the Orientale basin"
<p>This dataset includes all the fresh impact craters observed in the work. The craters in each region are stored as a separate shapefile. In the attribute table, the "Rock" field is marked as "1" for observed excavated boulders and "0" for no observed boulders. The "Diameter" field represents the crater diameter in meters, and the "Max_EXdepth" field indicates the excavation depth of the crater, also in meters.</p>
RSL distribution data in Palikir crater and Raga crater on Martian surface
<p>This dataset includes the RSL distribution data in Palikir crater and Raga crater on the Martian surface as reported in an article by Shuo Liu, Bo Wu et al. (Time-Series Variations of Recurring Slope Lineae on Mars Suggest Contemporary Water Activity from Bedrock Aquifer Melting).</p>
Illuminating Tycho's Rays: Automated Crater Census Uncovers Equilibrium Dynamics and Regolith Stratification on the Lunar Surface
<p>Excel files containing all crater data are output from ArcMap.</p> <p><br>DATA_HUMA_craters_raw contains two files for the *186 and *808 NAC images as coordinates and diameter (km). These are all the manual labelling for the NACs, with not-included data. Full set.</p> <p>DATA_YOLO_craters_raw contains several files for each sub-area, coordinates, diameter, and additional information</p> <p>DATA_selected_craters is a table that formed the <strong>basis for the analysis</strong>. It lists the crater sizes for each area (summed) and gives the surface area of the regions under investigation.</p>
New crater clusters on Mars
<p>Crater cluster data set used in the submitted paper</p>
Figure data for "From the top of Martian Olympus to Deep Craters and Beneath: Mars Radiation Environment under Different Atmospheric and Regolith Depths"
<p>Include data underlying figures of the article "From the top of Martian Olympus to Deep Craters and Beneath: Mars Radiation Environment under Different Atmospheric and Regolith Depths" by Zhang & Guo et. al in 2022 at Journal of Geophysical Research - Planets. </p>
Digital elevation data of Nakadake first crater, Aso Volcano, Japan, in March and May 2015
<p>We here present two digital elevation models (DEMs) for the Nakadake first crater, Aso Volcano, Japan (Kazama et al., 2015). The DEMs were created using the software of Agisoft PhotoScan (version: 1.1.5), and synthesized from photographs taken with DJI Phantom 2 Vision FC200 and PENTAX Optio WG-2. Two zip files (1503.zip and 1505.zip) correspond to the DEMs as of March and May 2015, originating from the photo data taken on March 26-27 and May 8, 2015, respectively. In synthesizing the DEMs, the absolute coordinate of the ground surface was fixed by seven ground control points (GCPs) located around the crater; the GCPs' coordinates had been determined with GNSS surveys in advance.</p> <p>In each zip file (15??.zip), 15??.xyz indicates the raw topographic data, and its each line contains longitude [deg], latitude [deg] and elevation [m]. The DEM resolution is 0.000005 deg (~= 50 cm) for longitude and latitude, and 0.000001 m for elevation. Both 15??.stl and 15??.pdf are the three-dimensional shape of the DEM data, and they can be shown using typical 3D viewers and Adobe Acrobat Reader, respectively. Both 15??.jpg and 15??.kmz are the orthophotographs of the Nakadake crater; in particular, 15??.kmz can be projected to maps using map softwares such as Google Earth Pro.</p> <p>Note that the DEM coordinate may contain random and/or systematic errors greater than the DEM resolution. According to the PhotoScan software, the coordinate errors of the GCPs were estimated to be (longitude, latitude, elevation) = (0.62, 4.01, 6.87) and (4.27, 3.94, 1.78) meters for 1503.xyz and 1505.xyz, respectively.</p> <p>Acknowledgments: Aso Volcano Disaster Prevention Council helped us taking photographs at the Nakadake first crater.</p>
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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.