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Figure 14 from: Suraprasit K, Jaeger J-J, Chaimanee Y, Chavasseau O, Yamee C, Tian P, Panha S (2016) The Middle Pleistocene vertebrate fauna from Khok Sung (Nakhon Ratchasima, Thailand): biochronological and paleobiogeographical implications. ZooKeys 613: 1-157. https://doi.org/10.3897/zookeys.613.8309
Figure 14 - Cranial remains of Axis axis from Khok Sung: A–B DMR-KS-05-04-18-50, a cranium with nearly complete antlers in dorsal (A) and ventral (B) views C–D DMR-KS-05-03-00-30, a cranium in lateral (C) amd ventral (D) views E DMR-KS-05-03-18-X9, a cranium in anterior view F–G DMR-KS-05-03-27-1 a cranium in dorsal (F) and ventral (G) views H DMR-KS-05-03-31-30, a right antler in anterior view; (I) DMR-KS-05-03-22-4, a right antler in lateral view J DMR-KS-05-03-18-21, a left antler fragment in lateral view K DMR-05-03-22-2, a left antler fragment in lateral view L DMR-KS-05-03-19-81, a left antler fragment in medial view.
Figure 19 from: Suraprasit K, Jaeger J-J, Chaimanee Y, Chavasseau O, Yamee C, Tian P, Panha S (2016) The Middle Pleistocene vertebrate fauna from Khok Sung (Nakhon Ratchasima, Thailand): biochronological and paleobiogeographical implications. ZooKeys 613: 1-157. https://doi.org/10.3897/zookeys.613.8309
Figure 19 - Remains of Panolia eldii from Khok Sung: A–C DMR-KS-05-04-20-4, a cranium in dorsal (A), lateral (B), and ventral (C) views D DMR-KS-05-03-15-11, a right P2 E DMR-KS-05-03-00-24, a left M1 F DMR-KS-05-03-00-23, a right M2 G DMR-KS-05-03-27-6, a left M3 H DMR-KS-05-04-9-2, a left M3 I DMR-KS-05-03-29-2, a right i1 in lingual view J–K DMR-KS-05-03-27-2, a left mandible in lateral (J) and occlusal (K) views L–M DMR-KS-05-04-9-5, a left mandible in occlusal (L) and lateral (M) views. All teeth are shown in occlusal view.
Figure 13 from: Suraprasit K, Jaeger J-J, Chaimanee Y, Chavasseau O, Yamee C, Tian P, Panha S (2016) The Middle Pleistocene vertebrate fauna from Khok Sung (Nakhon Ratchasima, Thailand): biochronological and paleobiogeographical implications. ZooKeys 613: 1-157. https://doi.org/10.3897/zookeys.613.8309
Figure 13 - Remains of Sus barbatus from Khok Sung: A DMR-KS-05-04-19-2, a left upper cheek tooth row in occlusal view B DMR-KS-05-04-19-5, a left M2 C DMR-KS-05-03-18-23, a left fragmentary M2 D DMR-KS-05-04-03-4, a right M3; (E) DMR-KS-05-04-19-4, a right M3 F–G DMR-KS-05-03-15-1, a mandible in occlusal (F) and lateral (G) views H–I DMR-KS-05-04-19-1, a mandible in occlusal (H) and lateral (I) views J DMR-KS-05-04-19-3, a left fragmentary m3 K–N DMR-KS-05-03-26-8, a right humerus in proximal (K), posterior (L), anterior (M), and distal (N) views. Cross-sections of canines are given. All isolated teeth are shown in occlusal view.
Figure 23 from: Suraprasit K, Jaeger J-J, Chaimanee Y, Chavasseau O, Yamee C, Tian P, Panha S (2016) The Middle Pleistocene vertebrate fauna from Khok Sung (Nakhon Ratchasima, Thailand): biochronological and paleobiogeographical implications. ZooKeys 613: 1-157. https://doi.org/10.3897/zookeys.613.8309
Figure 23 - Remains of Rusa unicolor from Khok Sung: A DMR-KS-05-03-20-11, a right antler in lateral view B DMR-KS-05-03-26-2, a right antler fragment in lateral view C DMR-KS-05-03-28-23, a right antler fragment in medial view D DMR-KS-05-04-9-3, a left M2 E DMR-KS-05-03-31-1, a left M3 F–G DMR-KS-05-03-13, a right mandible in lateral (F) and occlusal (G) views H–I DMR-KS-05-03-00-101, a left mandible in lateral (H) and occlusal (I) views J DMR-KS-05-03-00-5, a right m1 K DMR-KS-05-03-27-4, a left m3. All isolated teeth are shown in occlusal view.
Figure 1 from: Suraprasit K, Jaeger J-J, Chaimanee Y, Chavasseau O, Yamee C, Tian P, Panha S (2016) The Middle Pleistocene vertebrate fauna from Khok Sung (Nakhon Ratchasima, Thailand): biochronological and paleobiogeographical implications. ZooKeys 613: 1-157. https://doi.org/10.3897/zookeys.613.8309
Figure 1 - Map of Southeast Asia showing A the Sundaland boundaries and the migration route hypothesis: Siva-Malayan route (black), Sino-Malayan route (red), and Taiwan-Philippine Archipelago route (blue) and B the location of the Khok Sung sand pit (star) and other Middle (red circle) and Late (yellow circle) Pleistocene sites. The Sunda shelf boundaries at the sea level about 120 m lower than the present day are compiled from Voris (2000). Some Middle Pleistocene sites in South China and central Eastern China are shown in the map. Only Gua Cha (Peninsular Malaysia) is Holocene in age (Groves 1985, Bulbeck 2003).
Figure 10 from: Suraprasit K, Jaeger J-J, Chaimanee Y, Chavasseau O, Yamee C, Tian P, Panha S (2016) The Middle Pleistocene vertebrate fauna from Khok Sung (Nakhon Ratchasima, Thailand): biochronological and paleobiogeographical implications. ZooKeys 613: 1-157. https://doi.org/10.3897/zookeys.613.8309
Figure 10 - Cranial, mandibular, dental remains of Rhinoceros sondaicus from Khok Sung: A DMR-05-03-00-128, a left P2 in occlusal view B DMR-KS-05-03-22-17, a left P3 in occlusal view C DMR-KS-05-03-00-129, a left M1 in occlusal view D DMR-KS-05-03-00-127, a left M3 in occlusal view E–G DMR-KS-05-03-00-126, a mandible in lateral (E), occlusal (F) and ventral (G) views H–I DMR-KS-05-03-31-28, a fragmentary mandible in occlusal (H) and lateral (I) views J–K DMR-KS-05-03-00-56, a nasal in dorsal (J) and lateral (K) views.
Figure 3 from: Hassall M, Moss A, Dixie B, Gilroy JJ (2018) Interspecific variation in responses to microclimate by terrestrial isopods: implications in relation to climate change. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 5-24. https://doi.org/10.3897/zookeys.801.24934
Figure 3 Aggregation of isopod species differing in desiccation resistance at different temperatures. Mean ± 1 SE aggregation indices (variance:mean ratio) at 90% relative humidity. aP.scaber (F 4,249 = 3.76, p < 0.01) bA.vulgare (F 4,249 = 1.97, P < 0.01) cO.asellus (F 4, 249 = 12.22, P < 0.001) d thermal reaction norms for aggregation expressed as quadratic response curves for: P.scaber (dashed line): y = -11.519 + 1.526× - 0.04×2; A.vulgare (solid line): y = -3.534 + 0.574× 0.016×2; O.asellus (dotted line): y = -5.890 + 0.814× – 0.018×2.
Figure 4 from: Hassall M, Moss A, Dixie B, Gilroy JJ (2018) Interspecific variation in responses to microclimate by terrestrial isopods: implications in relation to climate change. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 5-24. https://doi.org/10.3897/zookeys.801.24934
Figure 4 Moisture reaction norms for a) sheltering and b) feeding behaviours with changing sand moisture content (time spent in behaviour as percentages of total observed behaviours). Lines represent linear regression models: A.vulgare (solid line) (sheltering: y = 95.24 – 1.05×; feeding: y = 0.32 + 0.03), P.scaber (dashed line) (sheltering: y = 96.72 – 0.19×; feeding: y= 0.22 + 0.05×), Ph.muscorum (dotted line) (sheltering: y = 93.14 – 2.16×; feeding: y = 0.36 + 0.55x). Further regression statistics and number of observations (N), are given in Table 1.
Figure 2 from: Hassall M, Moss A, Dixie B, Gilroy JJ (2018) Interspecific variation in responses to microclimate by terrestrial isopods: implications in relation to climate change. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 5-24. https://doi.org/10.3897/zookeys.801.24934
Figure 2 A schematic representation of a typical thermal response curve for enzymes (simplified from Huey and Kingsolver 1989). The temperature optimum is the temperature at which performance reaches its maximal level or peak performance. The performance breadth defines how steeply peaked (stenothermal) or broadly plateaued (eurythermal) the response curve is. Any part or the whole of such a curve can be considered to be a reaction norm of a genotype representing a range of phenotypes expressed across an environmental gradient, in this example, of temperature.
Figure 1 from: Hassall M, Moss A, Dixie B, Gilroy JJ (2018) Interspecific variation in responses to microclimate by terrestrial isopods: implications in relation to climate change. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 5-24. https://doi.org/10.3897/zookeys.801.24934
Figure 1 A conceptual diagram illustrating some of the pathways by which changes in global climate could potentially impact on rates of carbon dioxide emissions from soils. Both changes in temperature and in the levels and patterns of rainfall have strong direct effects on the metabolism of bacteria and fungi but their ecology and metabolism are also regulated by the extent to which they are stimulated by soil animals. Both functional (e.g., behavioural and physiological) responses and numerical (both life history and population) responses of soil animals are affected by their microclimate. This is in turn affected by larger scale changes in temperature and rainfall. Therefore, as well as their direct effect on microbial metabolism, these climatic variables have a strong indirect effect by influencing the behavioural, physiological, life history, and population processes of soil animals such as isopods.
Figure 6 from: Hassall M, Moss A, Dixie B, Gilroy JJ (2018) Interspecific variation in responses to microclimate by terrestrial isopods: implications in relation to climate change. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 5-24. https://doi.org/10.3897/zookeys.801.24934
Figure 6 Thermal reaction norm gradients for evaporation rate (water loss) for isopods from biomes differing in availability of moisture. Evaporation rate (g g-1 h-1× 10-2) standardised to a temperature range of 3.5 °C (from Edney 1951; Warburg 1965, 1987, 1989). Key to species: Lo Ligiaoceanica, Ph Philosciamuscorum, Oa Oniscusasellus, Ps Porcellioscaber, Av Armadillidiumvulgare, Ao Armadilloofficinalis, Aa Armadilloalbomarginatus, Po Porcellioolivieri, An Armadilliumnasatum, Ba Buddelundiaalbinogrisescens, Bf Buddelundiafrontosa, Va Veneziilloarizonicus, Bsp Buddelundia spp. probably lateralis, Hr Hemilepistusreaumurii, Sf Schizidiumfestai. Key to habitats: littoral (blue), mesic (green), xeric (yellow), semi-arid (orange) habitats in South Australia.
Figure 5 from: Hassall M, Moss A, Dixie B, Gilroy JJ (2018) Interspecific variation in responses to microclimate by terrestrial isopods: implications in relation to climate change. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 5-24. https://doi.org/10.3897/zookeys.801.24934
Figure 5 Gradients of moisture reaction norms for respiration of isopods differing in their resistance to desiccation. Reaction norms over the range 50–100% relative humidity for respiratory rates measured as rates of oxygen uptake (mm3 mm-2 body surface h-1) (Edney 1968). Key to species: Lo Ligiaoceanica, Oa Oniscusasellus, Ps Porcellioscaber, Av Armadillidiumvulgare. Key to habitats: littoral (blue), mesic (green).
Raw data for "UV Attenuation in Rocks and Minerals: Implications for Mars Science"
<p>Raw data for "UV Transmission in Rocks and Minerals: Implications for Mars Science"</p>
Detecting and removing sample contamination in phylogenomic data: An example and its implications for Cicadidae phylogeny (Insecta: Hemiptera)
<p class="MsoNormal">Contamination of a genetic sample with DNA from one or more non-target species is a continuing concern of molecular phylogenetic studies, both Sanger sequencing studies and Next-Generation Sequencing (NGS) studies. We developed an automated pipeline for identifying and excluding likely cross-contaminated loci based on detection of bimodal distributions of patristic distances across gene trees. When the contamination occurs between samples within a dataset, comparisons between a contaminated sample and its contaminant taxon will yield bimodal distributions with one peak close to zero patristic distance. Here we present an automated pipeline for identifying and excluding likely cross-contaminated loci based on detection of these bimodal distributions of patristic distances between taxa across gene trees. This new method does not rely on <em>a priori</em> knowledge of taxon relatedness nor does it determine the process(es) that caused the contamination. Exclusion of putatively contaminated loci from a dataset generated for the insect family Cicadidae showed that these sequences were affecting some topological patterns and branch supports, although the effects were sometimes subtle, with some contamination-influenced relationships exhibiting strong bootstrap support. Long tip branches and outlier values for one anchored phylogenomic pipeline statistic (AvgNHomologs) were correlated with the presence of contamination. While the AHE markers used here, which target hemipteroid taxa, proved effective in resolving deep and shallow level Cicadidae relationships in aggregate, individual markers contained inadequate phylogenetic signal, in part probably due to short length. The cleaned dataset, consisting of 90 genera representing 44 of 56 current Cicadidae tribes, and 429 loci, supported three of the four sampled Cicadidae subfamilies in concatenated-matrix (IQ-TREE ML) and multispecies coalescent-based (ASTRAL-III) species tree analyses, with the fourth subfamily weakly supported in the ML trees. No well-supported patterns from previous family-level Sanger sequencing studies of Cicadidae phylogeny were contradicted. One taxon (<em>Aragualna plenalinea</em>) did not fall with its current subfamily in the genetic tree, and this genus and its tribe Aragualnini is reclassified to Tibicininae following morphological re-examination. Only subtle differences were observed in trees after removal of loci for which divergent base frequencies were detected. Greater success may be achieved by increased taxon sampling and developing a probe set targeting a more recent common ancestor and longer loci. Searches for contamination are an essential step in phylogenomic analyses of all kinds and our pipeline is an effective solution.</p>
FIGURE 4 in Using an Asteraceae checklist to understand collection history, species density and conservation implications: a case study in the state of Alagoas, Northeastern Brazil
FIGURE 4. Distribution of Asteraceae species by vegetation type in Alagoas.
FIGURE 2 in Using an Asteraceae checklist to understand collection history, species density and conservation implications: a case study in the state of Alagoas, Northeastern Brazil
FIGURE 2. Habit proportion by vegetation type in the state of Alagoas, Brazil
FIGURE 1 in Using an Asteraceae checklist to understand collection history, species density and conservation implications: a case study in the state of Alagoas, Northeastern Brazil
FIGURE 1. Geographic location of Alagoas and vegetation types included in its limits.
Supplementary material 1 from: Shan S, Wang Y (2022) Complete mitochondrial genomes of Boiga kraepelini and Hebius craspedogaster (Reptilia, Squamata, Colubridae) and their phylogenetic implications. ZooKeys 1124: 191-206. https://doi.org/10.3897/zookeys.1124.87861
Table S1, S2
Figs 32–34 in Morphology of larvae and pupae of the genus Autocrates (Coleoptera: Trictenotomidae) and its phylogenetic implications
Figs 32–34. Pupa of Autocrates maqueti Drumont, 2006. 32 – dorsal habitus; 33 – ventral habitus; 34 – lateral habitus.
Prediction of olivine in distinct forming-environments using machine learning and implications for magmatic sulfide prospectivity
<p>Olivine compositions from global volcanic and plutonic samples.</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.