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Figure 5 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod
Figure 5. Scatter plot of canonical analysis of principal coordinates scores on the first and second canonical axes for 124 specimens of Pseudophycis, including types.
Figure 2. Pseudophycis palmata. A, B, CSIRO H 7366-01, 265 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod
Figure 2. Pseudophycis palmata. A, B, CSIRO H 7366-01, 265 mm SL, Storm Bay, east of Variety Bay on North Bruny Island, Tasmania, Australia, fresh specimen, lateral view of body and lateral view of head and anterior body with black pectoral blotch, respectively, (photographs C. Devine, CSIRO); C, SMNS 1589, holotype, 172 mm SL, Port Phillip, Hobsons Bay, Victoria, Australia (photograph C. Struthers, NMNZ).
Figure 8. Pseudophycis breviuscula. A, CSIRO H 4384-01, 110 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod
Figure 8. Pseudophycis breviuscula. A, CSIRO H 4384-01, 110 mm SL, Albany, Western Australia (photograph compliments CSIRO Marine Research); B, BMNH 1855.9.19.1182, holotype of Lota breviuscula, 152 mm SL, Bay of Islands, New Zealand (photograph © The Trustees of the Natural History Museum, London).
Figure 1 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod
Figure 1. Hasegawa-Kishino-Yano maximum likelihood tree of 65 COI sequences from four purported species of Pseudophycis, along with seven sequences for an outgroup species, Auchenoceros punctatus. Percentage bootstrap values followed by bootstrap values in p-distance neighbour joining and maximum parsimony trees are given for all well supported nodes (2 of 3 exceeding 80%). Specimen numbers are those of registered museum vouchers or sequence numbers in the Barcode of Life Database (BOLD, http://www.barcodinglife.org/).
Data and code for "Turning tables: food availability shapes dynamic aggressive behaviour among asynchronously hatching siblings in red kites Milvus milvus"
<p><strong>Abstract</strong></p> <p>Aggression represents the backbone of dominance acquisition in several animal societies, where the decision to interact is dictated by its relative cost. Among siblings, such costs are weighted in the light of inclusive fitness, but how this translates to aggression patterns in response to changing external and internal conditions remains unclear. Using a null-model-based approach, we investigate how day-to-day changes in food provisioning affect aggression networks and food allocation in growing red kite (<em>Milvus milvus</em>) nestlings, whose dominance rank is largely dictated by age. We show that older siblings, irrespective of age, change from targeting only close-aged peers (close-competitor pattern) when food provisioning is low, to uniformly attacking all other peers (downward heuristic pattern) as food conditions improve. While food allocation was generally skewed towards the older siblings, the youngest sibling in the nest increased its probability of accessing food as more was provisioned and as downward heuristic patterns became more prominent, suggesting that different aggression patterns allow for catch-up growth after periods of low food. Our results indicate that dynamic aggression patterns within the nest modulate environmental effects on juvenile development by influencing the process of dominance acquisition and potentially impacting the fledging body condition, with far-reaching fitness consequences.</p>
Fig. 4 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 4 – Numbers of RWA nests versus medium tree age of primary tree species (TS) for a) MGBSF and b) FBBSF
Fig. 2 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 2 – Tectonic setting of both study areas with a, major tectonic units, faults (black lines) taken from literature (see list under reference section geological maps), b, detailed geologic setting of the Münchsgrün (MG), and c, Falkenberg (FB) study areas with FB forest sections (1-8). In MG area, the older Mitterteich/Steinwald Granite is overlain by Miocene/Pliocene basin-filling sediments.
Fig. 3 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 3 – In total mapped areas (MG tot; FB tot) and mapped areas within the borders of BSF (MGBSF; FBBSF) for a) MG and b) FB study area.
Fig. 5 in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 5 – Nest height classes[m] versus type of nest material (%) for a, c, spruce, and b, d, pine as primary tree species (TS) in MGBSF and FBBSF.
Fig. 1 – a in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 1 – a, Position of both study areas within Germany close to the Czech border; b, detailing location in the Oberpfälzer Lake district in Tirschenreuth county, NE Bavaria.
Fig. 8 – a in Red wood Ants (Formica rufa-group) prefer mature pine forests in Variscan granite environments (Hymenoptera: Formicidae)
Fig. 8 – a, Spatial distribution of mapped RWA nests in FBBSF based on the 1m DTM provided by the LDBV (2008/2009). Black square indicates a striking radial nest distribution pattern that can be explained by b, "onion-like" joints forming in the granite, as can be seen in the former quarry beneath the ruin Flossenbürg castle, approx. 14.5 km southeast of the FB Study area. Photo credit: M. Gibhardt.
Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited
<p>Reproduction Package for the Paper "Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited".</p> <p><strong>File Organization</strong></p> <ul> <li>MESA: MESA modifications to include losses due to the neutrino magnetic dipole moment, scripts to run the grid of models, and post processing pipeline scripts including the Worthey \& Lee bolometric correction code.</li> <li>ML_models: Machine learning code to train and use the models as well as the models themselves.</li> <li>analysis: Plotting code to create figures for papers and presentations.</li> <li>makeGrids: Scripts to create the different input grid files to run MESA on.</li> <li>mcmc: Scripts and plots for the MCMC analysis.</li> <li>mesa_data: All MESA models generated in this project.</li> <li>environment.yml: Conda environment for analysis and the mcmc. </li> </ul> <p>More details can be found in the README files within each directory.</p> <p><strong>Citation Policy</strong><br> If you use any part of this reproduction package for independent work, we recommend you cite the following papers:</p> <ul> <li>This paper</li> <li>https://arxiv.org/abs/2303.12069</li> <li>https://arxiv.org/abs/2305.03113</li> <li>Astrophys. J. Suppl. 192, 3 (2011)</li> <li>Astrophys. J. Suppl. 208, 4 (2013)</li> <li>Astrophys. J. Suppl. 234, 34 (2018)</li> <li>Astrophys. J. Suppl. 243, 10 (2019)</li> </ul> <p><strong>Software</strong></p> <p>Python version 3.8, NumPy version 1.22.3, Pandas version 1.4.3, Matplotlib version 3.5.1, Seaborn version 0.11.2, Tensorflow version 2.4.1, corner version 2.2.1, emcee version 3.1.2, MESA version 12778, MESASDK version x86_64-linux-20.3.2.</p>
Fig. 1 in Catalogue and red list of Acalypha L. (Euphorbiaceae) from South America
Fig. 1. Distribution of Acalypha L. in South America. Black dots represent georeferenced Acalypha herbarium collections studied by us.
Data from: Mesophotic Foraminiferal-Algal Nodules play a role in the Red Sea carbonate budget
<p>Free-living mesophotic Foraminiferal-Algal Nodules (FANs) have been discovered along the coast of the northern Saudi Arabian Red Sea (NEOM region) where they form a novel benthic ecosystem in mesophotic water depths on the continental shelf. Being mostly spheroidal, the nodules are transported <em>en masse</em> down slope, into the deep water of the basin, where they stop accreting. Radiometric dating informs that FANs can be more than two thousand years old and that they collectively contribute up to 66 g m<sup>-2</sup> year<sup>-1</sup> to the mesophotic benthic carbonate budget and account for at least 980 megatons of CaCO<sub>3</sub>, a substantial contribution considering the depauperate production of carbonate by other means in this light-limited environment. Our findings advance the knowledge of mesophotic biodiversity and carbonate production, and provide data that will inform conservation policies in the Saudi Arabian Red Sea.</p>
Fig.2 in On the daily activity of the Red Fox (Vulpes vulpes) in two village areas of Bulgaria: a case study
Fig.2. Number of all pictures of the red fox (Vulpes vulpes) made in 24 hours interval (number of images per hour) for NP "Sinite Kamani" (Georgiev et al., 2015).
Fig. 3 in On the daily activity of the Red Fox (Vulpes vulpes) in two village areas of Bulgaria: a case study
Fig. 3. Number of all pictures of the fox (Vulpes vulpes) made in 24 hours interval (number of images per hour) for the villages of Byaga and Isperihovo.
Near-Chromosomal-Level Genome of the Red Palm Weevil (Rhynchophorus ferrugineus), a Potential Resource for Genome-Based Pest Control.
<p>Red palm weevil genome annotation data set</p>
Red de drenaje de la cuenca alta y media del río Luján
<p>Se delimitó la red de drenaje de la cuenca alta y cuenca media del río Luján a través del uso de un modelo digital de terreno (MDT) de 5 m de resolución elaborado a partir de un relevamiento aéreo durante el 2018 (Instituto Geográfico Nacional, 2020) y fue corregida en base a imágenes de imágenes satelitales de alta resolución para los años 2021 y 2022 provistas por Google Earth de la costelación de satélites de la companía Maxar Technologies. Todas las capas generadas fueron georreferenciadas según el sistema WGS84 con proyección POSGAR 2007 - FAJA 5.</p> <p> </p>
low Cerro Gordo; StL 2, Cerro Gordo sandstone; StL 3, between Cerro Gordo and Chunchullo; StL 4, Chunchullo sandstone; StL 5, bed set between Chunchullo and Tatacoa; StL 6, Tatacoa sandstone; StL 7, bed set below Cerbatana conglomerate; StL 8, Cerbatana conglomerate; StL 9, Monkey beds; StL 10, bed set above Monkey beds; StL 12, bed set above Fish bed; StL 14, bed set below La Venta red beds; StL 15, La Venta red beds; StL 16, bed set between La Venta red beds and El Cardón red beds; StL 17, El Cardón red beds; StL 18, San Francisco sandstone; StL 19, Polonia red beds; D, reconstruction of the head of Neodolodus colombianus based on the 3D model of the almost complete skull of the specimen VPPLT 1696. Abbreviations: Fm, Formation; St m, Stratigraphic meter. Reconstruction of N. colombianus made by Tatsuya Shimura. in New remains of Neotropical bunodont litopterns and the systematics of Megadolodinae (Mammalia: Litopterna)
low Cerro Gordo; StL 2, Cerro Gordo sandstone; StL 3, between Cerro Gordo and Chunchullo; StL 4, Chunchullo sandstone; StL 5, bed set between Chunchullo and Tatacoa; StL 6, Tatacoa sandstone; StL 7, bed set below Cerbatana conglomerate; StL 8, Cerbatana conglomerate; StL 9, Monkey beds; StL 10, bed set above Monkey beds; StL 12, bed set above Fish bed; StL 14, bed set below La Venta red beds; StL 15, La Venta red beds; StL 16, bed set between La Venta red beds and El Cardón red beds; StL 17, El Cardón red beds; StL 18, San Francisco sandstone; StL 19, Polonia red beds; D, reconstruction of the head of Neodolodus colombianus based on the 3D model of the almost complete skull of the specimen VPPLT 1696. Abbreviations: Fm, Formation; St m, Stratigraphic meter. Reconstruction of N. colombianus made by Tatsuya Shimura.
Red_Giants Catalog
<p>This dataset is provided by a red giant search method based on convolutional neural networks. This data set is located in the sub-area of the SMSS survey project. After data cleaning and search through the CBAMResNets model, and comparison with models such as CVGG16 and TPC, a relatively complete and reliable red giant star catalog-provided area for this sub-area was obtained.</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.