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Plate II Albertosaurus libratus, AMNH 5458 in Tyrannosaurs from the Late Cretaceous of western Canada
Plate II Albertosaurus libratus, AMNH 5458. The femur is approximately 1025 mm long (Matthew and Brown 1923: 10). Photograph courtesy of the American Museum of Natural History, AMNH negative number 39106
Population connectivity and genetic offset in the spawning coral Acropora digitifera in Western Australia
<p><span>Anthropogenic </span>climate change has caused widespread loss of species biodiversity and ecosystem productivity across the globe, particularly on tropical coral reefs. Predicting the future vulnerability of reef-building corals, the foundation species of coral reef ecosystems, is crucial for cost-effective conservation planning in the Anthropocene. In this study, we combine regional population genetic connectivity and seascape analyses to explore patterns of genetic offset (the mismatch of gene-environmental associations under future climate conditions) in <em>Acropora digitifera</em> across 12 degrees of latitude in Western Australia. Our data revealed a pattern of restricted gene flow and limited genetic connectivity among geographically distant reef systems. Environmental association analyses identified a suite of loci strongly associated with the regional temperature variation. These loci helped forecasting future genetic offset in random forest and generalised dissimilarity models. These analyses predicted pronounced differences in the response of different reef systems in Western Australia to rising temperatures. Under the most optimistic future warming predictions (RCP 2.6), we observed a general pattern of increasing genetic offset with latitude. Under the most extreme climate scenario (RCP 8.5 in 2090-2100), coral populations at the Ningaloo World Heritage Area were predicted to experience a higher mismatch in genetic composition, compared to populations in the inshore Kimberley region. The study suggest complex and spatially heterogeneous patterns of climate-change vulnerability in coral populations across Western Australia, reinforcing the notion that regionally tailored conservation efforts will be most effective at managing coral reef resilience into the future.</p>
Raw Microscopy and Western Blot Data for "Distinct silencer states generate epigenetic states of heterochromatin"
<p>Raw microscopy and western blot images for "Distinct silencer states generate epigenetic states of heterochromatin"</p>
Three-dimensional Digital Outcrop Models of the Tullig Sandstone, Western Irish Namurian Basin, Co. Clare, Ireland
<p>Tullig Sandstone is part of the Tullig Cyclothem, Western Irish Namurian Basin, Co. Clare, Ireland. The Tullig Sandstone is a prominent sandstone interval that represents an ancient fluvial-deltaic system. </p> <p>Outcrops of the Tullig Sandstone were surveyed by an unmanned aerial vehicle (UAV, DJI Mavic Pro Platinum™). Three-dimensional digital outcrop models were generated from images collected from UAV using Agisoft Metashape™.</p>
Satellite-derived chlorophyll-a concentrations for Western Water Treatment Plant (Melbourne, Australia) using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery
<p>This dataset contains satellite-derived chlorophyll-a data of the Western Water Treatment Plant (Melbourne, Australia) for the period 21 Mar. 2013 - 01 Feb. 2021. Chlorophyll-a concentrations have been calculated using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery.</p> <p>Mixture Density Networks are a class of neural networks that tackle the inverse problem by modelling the multimodal distribution of target variables using a mixture of Gaussians. For more information, please refer to the following:</p> <ul> <li>Pahlevan, N., Smith, B., Alikas, K., Anstee, J., et al. (2022). Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3. <em>Remote Sensing of Environment, 270</em>, 112860</li> <li>Smith, B., Pahlevan, N., Schalles, J., et al. (2021). A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks. <em>Frontiers in Remote Sensing, 1</em></li> <li>Pahlevan, N., Smith, B., Schalles, J., et al. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. <em>Remote Sensing of Environment, 240</em>, 111604</li> </ul>
Mammal occurrence records (2015-18) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India
<p>This dataset contains Mammal occurrence records (2015-18) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. It includes a few occurrence records of other chordates. Occurrence records were gathered in the field by researchers of the Nature Conservation Foundation, India, using a mobile data collection application. Suggested citation is:<br> Nature Conservation Foundation (2022). Mammal occurrence records (2015-18) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. Nature Conservation Foundation, India. Dataset, Zenodo. DOI:<br> <br> CONTACT #1<br> 1. Name: T. R. Shankar Raman<br> 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br> 3. Work Phone: +91 821 2515601<br> 4. Email address: trsr@ncf-india.org<br> 5. ORCID: https://orcid.org/0000-0002-1347-3953</p> <p>CONTACT #2<br> 1. Name: Divya Mudappa<br> 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br> 3. Work Phone: +91 821 2515601<br> 4. Email address: divya@ncf-india.org<br> 5. ORCID: https://orcid.org/0000-0001-9708-4826</p> <p>Keywords: tropical rainforest, plantations, Anamalai Hills, animal distribution, </p> <p>Geographic Coverage:<br> 1. Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India<br> 2. GPS coordinates: Valparai Plateau (10°15'- 10°22'N, 76°52' - 76°59'E); Anamalai Tiger Reserve (10°12' - 10°35'N, 76°49' - 77°24'E)</p> <p>Temporal Coverage:<br> 1. Begins: 2015-01-01 (Year, Month, Day)<br> 2. Ends: 2018-10-31 (Year, Month, Day)</p> <p>Besides this 000_README.txt file, the dataset includes 326 images (photographs) and three comma-delimited text (csv) files as explained below:</p> <ol> <li>001_valparai_mammals.csv -- raw data file from the mobile app (columns are self-explanatory)</li> <li>002_valparai_mammals.csv -- raw data file of linked images from the mobile app (columns are self-explanatory)</li> <li>003_mammal_occurrence_zenodo_2015-18.csv -- curated and compiled dataset with the following columns:</li> </ol> <ul> <li>observation_id: unique id given to a record (corresponds to fulcrum_id in raw data set) observation</li> <li>latitude: latitude in decimal degrees N (WGS 84 datum)</li> <li>longitude: longitude in decimal degrees E (WGS 84 datum)</li> <li>date_: date of observation</li> <li>time: time of observation</li> <li>place: locality name</li> <li>type_of_observation: type of observation indicating whether it was sighting, sign (based on Vocalisation/call, track/pugmark, scat/dung), death, electrocution, roadkill</li> <li>notes: general notes and remarks including number of individuals where available</li> <li>photo: reference id of corresponding photograph (as in the jpg filename)</li> <li>gps_altitude: altitude in metres estimated by the phone GPS</li> <li>gps_horizontal_accuracy: horizontal accuracy in metres estimated by the phone GPS (set at 500 m in a few cases where GPS location was assigned based on locality name)</li> <li>verbatimIdentification: taxon name as noted originally</li> <li>scientificName: scientific name (or Family in a few cases)</li> <li>vernacularName: common or English name</li> <li>recordedBy: names of observers (separated by | )</li> <li>georeferenceRemarks: remarks on georeference</li> <li>occurrenceID: unique occurrence ID assigned to each taxon (recorded under an observation_id)</li> </ul>
Data for Contrasting life-history responses to climate variability in eastern and western North Pacific sardine populations
<p><span>Massive populations of sardines inhabit both the western and eastern boundaries of the world's subtropical ocean basins, supporting both commercial fisheries and populations of marine predators. Sardine populations in western and eastern boundary current systems have responded oppositely to decadal scale anomalies in ocean temperature, but the mechanism for differing variability has remained unclear. Here, based on otolith microstructure and high-resolution stable isotope analyses, we show that habitat temperature, early life growth rates, energy expenditure, metabolically optimal temperature and, most importantly, the relationship between growth rate and temperature were remarkably different between the two subpopulations in the western and eastern North Pacific. Varying metabolic response to environmental changes partly explain the contrasting growth responses. Consistent differences in the life-history traits are observed between subpopulations in the western and eastern boundary current systems around South Africa. These growth and survival characteristics can facilitate the contrasting responses of sardine populations to climate change.</span></p>
FIGURE 21 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 21. Latest Cretaceous Transylvanian kogaionid occurrences, highlighting the spatial distribution of the different chronofaunal tiers represented. Numbers within kogaionid silhouettes refer to their respective tiers (see fig. 3). A. Hațeg Basin; B. southwestern Transylvanian Basin; C. Rusca Montană Basin.
FIGURE 23 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 23. Chronostratigraphic distribution of the sedimentary facies represented, combined with the nature of the kogaionid remains recovered, at the different uppermost Cretaceous Transylvanian kogaionid sites. Dark gray, marine deposits; light gray, continental deposits.
FIGURE 22 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 22. Chronostratigraphic distribution of the estimated body sizes of known latest Cretaceous Transylvanian kogaionid occurrences. Dark gray, marine deposits; light gray, continental deposits.
FIGURE 20 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 20. Chronostratigraphic distribution of the different kogaionid taxa identified in the uppermost Cretaceous beds of Transylvania. Dark gray, marine deposits; light gray, continental deposits. For color-coding of the taxa, see legend in figure 19.
FIGURE 12 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 12. In situ remains of the referred specimen of Barbatodon transylvanicus, LPB (FGGUB) M.1635, Pui Beds, site PB3, documenting their associated nature. A. Remains of M.1635 as first spotted in the field, July 2002, showing the dentaries and one of the femora exposed on the bed surface by river erosion. B. Closeup from the initial preparation stage of the plaster jacket containing the partial skeleton M.1635, with the fully exposed dentaries and right femur. C. Presence of further postcranial remains revealed within the plaster jacket; boxed area in left center (B) highlights the position of the first discovered remains. Abbreviations: de, dentary; fe, femur; fi, fibula; l, left; r, right.
FIGURE 14 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 14. Isolated kogaionid teeth from the Pui Beds, site PB4. A–C. Isolated left I2, LPB (FGGUB) M.1706, in A. labial, B. distal, and C. mesial views. D–F. Isolated left I3, LPB (FGGUB) M.1670, in D. mesial, E. labial, and F. distal views. Arrows in B, C, and F point to the demarcation line between thicker and thinner enamel cover. G. Isolated left M1, LPB (FGGUB) M.1671, in occlusal view. H. Holotype of Litovoi tholocephalos, LPB (FGGUB) M.1700, left M1 in occlusal view, for comparison.
FIGURE 16 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 16. Kogaionid-bearing fossiliferous localities from the Densuș-Ciula Formation, Hațeg Basin. A. The Tuștea-Oltoane nesting locality, corresponding to site DC1; large-scale excavation on the newly created platform, August 1998. B. Close-up of the fossiliferous bed at Vălioara-Fântânele, hosting site DC2; C. Close-up of the fossiliferous bed at Vălioara-Fântânele 2, location of site DC3. D. Ravines north of Livezi with outcrops of uppermost Cretaceous continental beds; in the middle foreground, below the grass cover, is site DC4; E. Limited exposures of the uppermost Cretaceous continental beds north of General Berthelot, locality GB1, with the lower red silty mudstones hosting site DC5.
FIGURE 19 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 19. Latest Cretaceous Transylvanian kogaionid occurrences, highlighting the spatial distribution of the different taxa; estimated body sizes taken from figure 18. A. Hațeg Basin; B. southwestern Transylvanian Basin; C. Rusca Montană Basin. Question-mark refers to taxonomical uncertainty concerning the small kogaionid taxon from site RB1, in the Hațeg Basin.
FIGURE 9 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 9. Kogaionid remains from the Sînpetru Formation. A. Close-up of the left upper molars (M1 and M2) of Kogaionon ungureanui (ISER SPT/001), site SP1. B, C. Isolated right M2, LPB (FGGUB) M.1631, of an indeterminate kogaionid, site SP3, occlusal view as B. reflected light stereomicroscopic image; C. SEM image.
FIGURE 18 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 18. Latest Cretaceous Transylvanian kogaionid occurrences, highlighting the spatial distribution of their estimated body size (see text and figure 2 for identity of the fossiliferous sites marked in red in figures 18–23; see text and tables 4–7 for details of body size estimates). A. Hațeg Basin; B. southwestern Transylvanian Basin; C. Rusca Montană Basin.
FIGURE 5 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 5. Craniodental morphology of the Kogaionidae. Skull structure in dorsal view (A, B, D, E) and occlusal view of upper dentition (C, F) in different kogaionid genera (skulls and tooth rows, respectively, drawn to the same scale). A, B. Skull of Litovoi tholocephalos, A. Reconstructed, with missing elements (shaded) mirrored from their counterparts, and B. Simplified outline drawing (from Csiki-Sava et al., 2018). C. Left-side upper dentition of Litovoi tholocephalos (from Csiki-Sava et al., 2018). D. Skull of Kogaionon ungureanui, simplified outline drawing (from Rădulescu and Samson, 1996: Kielan-Jaworowska et al., 2004). E. Skull of Barbatodon transylvanicus, simplified outline drawing (from Smith and Codrea, 2015). F. Left-side upper dentition of Kogaionon ungureanui, in occlusal view (from Rădulescu and Samson, 1996).
FIGURE 3 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 3. Approximate chronostratigraphic distribution of the latest Cretaceous kogaionid occurrences from the Transylvanian area (red stars), alongside other important fossil sites (gray stars) using the biochronofaunal tier system developed by Csiki-Sava et al. (2016), in the main kogaionid-bearing successions: A, the Sînpetru Formation (SP sites); B, the Râul Mare Beds (RB sites); C, the Pui Beds (PB sites); D, the Densuș-Ciula Formation (DC sites), all in the Hațeg Basin; E, the Rusca Montană Basin (RM sites); F, the southwestern Transylvanian Basin, eastern (left column) and western (right column) outcropping areas (TB sites); dark gray, marine deposits; light gray, continental deposits. For kogaionid site abbreviations, see text and figure 2; for other abbreviations, see Csiki-Sava et al. (2016) and Botfalvai et al. (2021). Question mark added in the Râul Mare Beds succession reflects current lack of details as to the relative straigraphic positions of sites RB2 and RB3 (see text).
FIGURE 11 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 11. Isolated kogaionid incisors from the Pui Beds, site PB1. A–E, Isolated left i1, ISER PUI.004, of an indeterminate kogaionid, A. Specimen identified as "ptilodontoid," puncturing-grasping type of i1; drawing from Rădulescu and Samson (1997). B. apical, C. labial, D. dorsal, and E. lingual views. F. Holotype of Litovoi tholocephalos, LPB (FGGUB) M.1700, left i1 in lingual view, for comparison. G–K, Isolated left I2, ISER PUI.003, of an indeterminate kogaionid, G. Specimen identified as "taeniolabidoid," gnawing type of i1; drawing from Rădulescu and Samson (1997), H. apical, I. labial, J. dorsal, and K. lingual views. L. Holotype of Litovoi tholocephalos, LPB (FGGUB) M.1700, right premaxilla with in situ I2–I3 in labial view, for comparison.
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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.