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F I G U R E 3 in Estimating multiple years, tributary-specific, and overall Atlantic salmon smolt abundance in a large Canadian catchment using capture-mark-recapture experiments
F I G U R E 3 (a) Posterior distribution of the difference between the true value and posterior distribution estimates (in percentage of the true value) of annual total smolt abundance obtained from DM (Dirichlet-multinomial) model M5 (simulation exercise). Each line is a year, and the 10 (one for each replicate) distributions are overlaid. The overall average difference is indicated in the left corner of the panel and represented by a red dashed vertical line. (b) C.V. of the posterior distributions of total abundance obtained from DM model M5. Each blue dot corresponds to the C.V. of a unique year/replicate, and each dashed blue horizontal line corresponds to the average C.V. of a replicate across years. The average C.V. across years and replicates (red dashed line) is also indicated in the top-right corner of the panel.
F I G U R E 4 in Estimating multiple years, tributary-specific, and overall Atlantic salmon smolt abundance in a large Canadian catchment using capture-mark-recapture experiments
F I G U R E 4 (a–c) Posterior distribution of the relative contribution of the smolt abundance associated with each upstream rotary screw trap (RST) and (d) posterior distribution of the relative contribution of the "rest" of the smolt abundance in relation to the total abundance for the DM (Dirichletmultinomial) model M5 (simulation exercise). The red dots correspond to the true values in the simulated dataset.
F I G U R E 1 in Estimating multiple years, tributary-specific, and overall Atlantic salmon smolt abundance in a large Canadian catchment using capture-mark-recapture experiments
F I G U R E 1 Restigouche River catchment map with main streams and lakes. Red dots indicate the location of the rotary screw traps (RST). Black polygons indicate subcatchments draining into upstream RSTs. Top-right panels: zoom on the location of the two downstream RSTs and example of a smolt with a streamer tag. Photo credit: Marie-Camille St-Amour.
F I G U R E 5 in Estimating multiple years, tributary-specific, and overall Atlantic salmon smolt abundance in a large Canadian catchment using capture-mark-recapture experiments
F I G U R E 5 (left panels, a–e) Posterior distributions of the estimated annual catchability θt,k at each rotary screw trap (RST), (middle panels, f– h) posterior distributions of the annual smolt abundance estimates associated with each upstream RST (Nmt,i), (i) the total smolt abundance for the Restigouche catchment (Nmtot), and (right panels, j–m) posterior distributions of the annual relative proportions of the total smolt abundance t of the Restigouche catchment estimated for each upstream RST and for the unsampled areas (rest, bottom-right panel) using the Restigouche dataset. In the catchability panels (a–e), the dashed gray line is the median, and the light and dark gray areas indicate the 2.5th–97.5th and 25th– 75th interquantile ranges, respectively, of the hyperparameter μθ, that is, the average catchability of each RST of the time series. In the relative k proportions panels (f–i) the thick dashed colored line in the top three panels indicates the average proportion of the total catchment abundance estimated at the upstream RST. The thick dashed gray lines indicate the proportions of the Restigouche catchment wetted areas of the subbasins sampled at the upstream RST(j–l) and the wetted area for the remainder of the Restigouche catchment not sampled by any upstream RST (m); the proportions for the rest of the catchment area change over years based on the specific upstream RSTs that operated in a given year. For all panels, the colored dot is the median, and the thin and thick vertical segments indicate the 2.5th–97.5th and 25th–75th interquantile ranges, respectively.
РИС. 1. СмеШаннаЯ колониЯ Monacha claustralis и M. cartusiana во Львове. А. Местообитание, основные места сбора улиток отмечены красными крестиками. B. НеполовоЗрелаЯ особь на ветке туи. C. Раковины анатомически определенных M. claustralis. D. То же длЯ M. cartusiana. МасШтаб 5 мм. FIG. 1. Mixed colony of Monacha claustralis and M. cartusiana in Lviv. A. Habitat, the main places of snail collecting marked with red crosses. B. Immature specimen on a thuja branch. C. Shells of anatomically identified M. claustralis. D. The same for M. cartusiana. Scale bar 5 mm. in Monacha claustralis и M. cartusiana (Gastropoda, Hygromiidae) - два криптических вида антропохорных наЗемных моллюсков на Западе Украины
РИС. 1. СмеШаннаЯ колониЯ Monacha claustralis и M. cartusiana во Львове. А. Местообитание, основные места сбора улиток отмечены красными крестиками. B. НеполовоЗрелаЯ особь на ветке туи. C. Раковины анатомически определенных M. claustralis. D. То же длЯ M. cartusiana. МасШтаб 5 мм. FIG. 1. Mixed colony of Monacha claustralis and M. cartusiana in Lviv. A. Habitat, the main places of snail collecting marked with red crosses. B. Immature specimen on a thuja branch. C. Shells of anatomically identified M. claustralis. D. The same for M. cartusiana. Scale bar 5 mm.
RoadTrafficMARKS: Dataset of 10057 images (256x256 pixels) of Curved arrow, Straight arrow, Pedestrian crossing, Straight-right merge arrow, Merge arrow, Left arrow, Yield, Stop, Right arrow, Straight-left merge arrow, Speed limit and Straight-right-left merge arrow markings and their BoundingBox labels
<p><strong>The dataset consists of 10057 PNG images (256x256 pixels) of </strong><strong>high resolution aerial orthoimages </strong><strong>taggged with </strong><strong>twelve classes of traffic signals</strong><strong>: (1) Curved arrow, (2) Straight arrow, (3) Pedestrian crossing, (4) Straight-right merge arrow, (5) Merge arrow, (6) Left arrow, (7) Yield, (8) Stop, (9) Right arrow, (10) Straight-left merge arrow, (11) Speed limit and (12) Straight-right-left merge arrow markings, together with their corresponding Bounding Boxes. The dataset has been created in the framework of the SROADEX project to train an identification process based on artificial neural networks.</strong></p> <p><strong>The dataset was created by manually tagging the twelve class of marks on orthoimage tiles of 256x256 pixels </strong><strong><strong>with the LabelMe tool</strong>. After the semantic labeling (manual digitalization of the contour of the signals), a transformation and random splitting process has been carried to prepare the data for the neural networks</strong><strong><strong> training</strong>. It resulted in 80% of the images for training (8031), 10% for validation (1000) and 10% for testing (1021).</strong></p> <p><strong>The next table presents the number of images of each class on the </strong><strong><strong>"train", "valid" and "test" </strong>sets.</strong></p> <table> <tbody> <tr> <td> </td> <td>Train</td> <td>Valid</td> <td>Test</td> <td>Total</td> </tr> <tr> <td>CURVED ARROW</td> <td>319</td> <td>43</td> <td>48</td> <td>410</td> </tr> <tr> <td>STRAIGHT ARROW</td> <td>6730</td> <td>806</td> <td>843</td> <td>8379</td> </tr> <tr> <td>PEDESTRIAN CROSSING</td> <td>3881</td> <td>465</td> <td>485</td> <td>4831</td> </tr> <tr> <td>STRIGNT-RIGHT MERGE ARROW</td> <td>1373</td> <td>187</td> <td>177</td> <td>1737</td> </tr> <tr> <td>MERGE ARROW</td> <td>550</td> <td>91</td> <td>59</td> <td>700</td> </tr> <tr> <td>LEFT ARROW </td> <td>238</td> <td>33</td> <td>31</td> <td>302</td> </tr> <tr> <td>YIELD</td> <td>356</td> <td>47</td> <td>40</td> <td>443</td> </tr> <tr> <td>STOP</td> <td>141</td> <td>19</td> <td>15</td> <td>175</td> </tr> <tr> <td>RIGHT ARROW</td> <td>836</td> <td>93</td> <td>111</td> <td>1040</td> </tr> <tr> <td>STRIGNT-LEFT MERGE ARROW</td> <td>152</td> <td>19</td> <td>21</td> <td>192</td> </tr> <tr> <td>SPEED LIMIT</td> <td>392</td> <td>50</td> <td>45</td> <td>487</td> </tr> <tr> <td>STRIGNT-RIGHT-LEFT MERGE ARROW</td> <td>82</td> <td>9</td> <td>9</td> <td>100</td> </tr> </tbody> </table>
Supplementary Material 1: Original dataset collected during the tracking and mark-release-recapture study and R script used to analyse the data
<p>The original dataset collected in northern Serbia during butterfly behavioural study on two species, <em>Phengaris teleius</em> and <em>Polyommatus icarus</em>. The dataset is provided in two separate CSV files for mark-release-recapture study and for butterfly tracking study. In addition, R script used to preopare the dataset and fit the models is given.</p>
A corpus-based study of the acquisition of the English progressive by L1 Chinese learners: From prototypical activities to marked statives
<p>This article investigates how EFL learners’ progressive markings are influenced by the lexical aspect of verbs, modality (spoken vs. written), and proficiency levels, focusing on the controversial issue of stative verbs in progressives in L2 acquisition. Spoken (SECCL) and written (WECCL) corpus data from two proficiency levels of Chinese EFL learners and comparison data from native English speakers (COCA) were analyzed. The results suggest that in both learner and native data the progressive -<em>ing</em> is strongly associated with activity verbs, stative verbs being least likely to be inflected with the progressive<em>,</em> as predicted by the Aspect Hypothesis (Andersen and Shirai 1994, 1996). However, inconsistently with the Aspect Hypothesis, this association strengthens with higher proficiency levels. Learners’ use of stative verbs in the progressive and the overextended use of stative progressives was also found to be related to spoken vs. written mode of production and proficiency levels, with learners retreating from overextension as their proficiency increases. A usage-based account of the findings is proposed.</p>
A comparison of density estimation methods for monitoring marked and unmarked animal populations
<p>These data were generated to compare different methods of estimating population density from marked and unmarked animal populations. We compare conventional live trapping with two more modern, non-invasive field methods of population estimation: genetic fingerprinting from hair-tube sampling and camera trapping for the European pine marten (Martes martes). We used arrays of camera traps, live traps, and hair tubes to collect the relevant data in the Ring of Gullion in Northern Ireland. We apply marked spatial capture-recapture models to the genetic and live trapping data where individuals were identifiable, and unmarked spatial capture-recapture (uSCR), distance sampling (CT-DS), and random encounter models (REM) to the camera trap data where individual ID was not possible. All five approaches produced plausible and relatively consistent point estimates (0.41 – 0.99 animals per km<sup>2</sup>), despite differences in precision, cost, and effort being apparent.</p> <p>In addition to the data, we provide novel code for running unmarked spatial capture-recapture (uSCR) and random encounter models (REM) to the camera trap data where individual ID was not possible. </p>
Quantifying phenology and migratory behaviours of hummingbirds using single-site dynamics and mark-detection analyses
<p>Nuanced understanding of seasonal movements of partially migratory birds is paramount to species and habitat conservation. Using nascent statistical methods, we identified migratory strategies of birds outfitted with radio-frequency identification (RFID) tags detected at RFID feeders in two sites in California, USA. We quantified proportions of migrants and residents and the seasonal phenology for each movement strategy in Allen's and Anna's hummingbirds; we also validated our methodology by fitting our model to obligate migratory black-chinned hummingbirds. Allen's and Anna's hummingbirds exhibited characteristics of facultative migratory behaviour. We also quantified apparent annual survival for each migratory strategy and found that residents had significantly higher probabilities of apparent survival. Low survival estimates for migrants suggest that a high proportion of birds in the migrant group permanently emigrated from our study sites. Considered together, our analyses suggest that hummingbirds in both northern and southern California sites partake in diverse and highly plastic migratory behaviours. Our assessment elucidates the dynamics underlying idiosyncratic migratory behaviours of two species of hummingbirds, in addition to describing a framework for similar assessments of migratory behaviours using the multi-state open robust design with state uncertainty (MSORD-SU) model and single-site dynamics.</p>
Multi-surveyor capture-mark-recapture as a powerful tool for butterfly population monitoring in the pre-imaginal stage
<p>For many elusive insect species, which are difficult to cover by standard monitoring schemes, innovative survey methods are needed to gain robust data on abundance and population trends. The recording of pre-imaginal butterfly life stages provides great potential for ecological studies and conservation monitoring. However, using counts of pre-imaginal stages for quantitative research requires detection probability to be determined.</p> <p>We tested different removal and capture-mark-recapture (CMR) approaches to determine the detection probability for overwintering larvae of the endangered nymphalid butterfly <em>Limenitis reducta</em>. Classical removal and CMR studies require movement of the organisms under study but in our approach, we replaced movement of the study organisms by random movement of multiple different surveyors. The study was conducted in three plots within a spruce clear-cut in the 'Alb-Donau' region, Germany.</p> <p>Our dataset provides detection data of nine/ten different surveyors per study plot. The surveyors differed in their experience ('experts' vs. 'novices'). In the R-scripts we present the analysis of the data using i) the removal method, ii) CMR approaches with varying personnel expenditure. In addition, we test the validity of our method by comparing observed and simulated detection frequencies.</p> <p>The results of our study indicate that multi-surveyor removal/CMR techniques are highly suitable for estimating abundance of overwintering L. reducta larvae and that the proposed methodology has several strengths: long survey period, estimates of the absolute population size accompanied by uncertainty measures, estimates of overwinter mortality. The methods from our study can be adapted and used for several different butterfly species, other insect taxa with specific immobile life-stages, and some sessile organisms, e.g. elusive plants, fungi, or corals.</p>
THE BATTERY MATERIALS SOURCING ENGINEER - Mark Huijben - University of Twente
<p>The need for radically different usage of our planet's resources has never been so high. There is an increasing demand for electricity in the years to come. We need innovative ways to store that energy to take it out whenever and wherever we need it. </p> <p>Professor in Nanomaterials for Energy Conversion and Storage, Mark Huijben elaborates on the development of next-level batteries. Not only having optimal performance but also being more sustainable. That begins with the design of a battery. Also, the materials being used make a huge difference in their recyclability. </p> <p>Gerwin Hoogsteen, a researcher on energy management for smart grids, surprises us with a creative perspective on energy usage and storage. He takes us to the year 2030 where energy is stored locally, in self-driving cars that drive to places with energy overload and take it to the place where you need it: your home. What hurdles do we need to take to make this a reality?</p>
Evaluating the suitability of close-kin mark-recapture as a demographic modelling tool for a critically endangered elasmobranch population
<p>Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries-independent approaches are often unsuitable as the data may be subject to various sources of bias, whilst low recapture rates can render mark-recapture programmes ineffectual. Close-kin mark-recapture (CKMR), a novel demographic modelling approach based on the genetic identification of close relatives within a sample, represents a promising alternative approach as it does not require physical recaptures. We evaluated the suitability of CKMR as a demographic modelling tool for the critically endangered blue skate (<em>Dipturus batis</em>) in the Celtic Sea using samples collected during fisheries-dependent trammel-net surveys that ran from 2011 to 2017. We identified three full-sibling and 16 half-sibling pairs among 662 skates, which were genotyped across 6,291 genome-wide single nucleotide polymorphisms (SNPs), 15 of which were cross-cohort half-sibling pairs that were included in a CKMR model. Despite limitations owing to a lack of validated life-history trait parameters for the species, we produced the first estimates of adult breeding abundance, population growth rate, and annual adult survival rate for <em>D. batis</em> in the Celtic Sea. The results were compared to estimates of genetic diversity, effective population size (N<sub>e</sub>), and catch per unit effort (CPUE) estimates from the trammel-net survey. Although each method was characterised by wide uncertainty bounds, together they suggested a stable population size across the time-series. Recommendations for the implementation of CKMR as a conservation tool for data-limited elasmobranchs are discussed. In addition, the spatio-temporal distribution of the 19 sibling pairs revealed a pattern of site-fidelity in <em>D</em>. <em>batis</em>, and supported field observations suggesting an area of critical habitat that could qualify for protection might occur near the Isles of Scilly.</p>
Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick)
<p>This video is the fourth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021.</p> <p>Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick)</p> <p>Bio: <strong><a href="https://warwick.ac.uk/fac/sci/wmg/people/profile/?wmgid=1147">Dr Mark Elliott</a> </strong>Mark is an Associate Professor at the Institute of Digital Healthcare, WMG, University of Warwick (UoW). Mark’s core research focuses on human movement and physiology analytics. His research uses signal processing and data science approaches to monitor, measure and model human movement and physiology to infer health status. He is the PI of the WMG Motion Capture Laboratory. His work further extends into the broader area of using wearable and on-the- body sensing devices to make objective measures of human behaviour and behaviour change. Much of Dr Elliott’s research is highly applied and involves collaborating with commercial and NHS partners. He has received funding from EPSRC, Innovate UK and SBRI Healthcare, as well as direct industrial funding. He is currently Data Analytics Theme Lead for the EPSRC funded OATech+ Network and on the steering committee for the EPSRC funded VSimulators facilities at Bath and Exeter.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/ChdbggScUgo</p>
Text-fig. 11. Acer Post Hammer species 1, UF 279-34456. a, b: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. c: Crowded alternate intervessel pits, TLS. d: Simple perforation plates, helical thickenings in vessel elements, TLS. e: Rays 2–3-seriate, gum deposit in vessel element, TLS. Acer Post Hammer species 2. UF 279-34466. f: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. g: Alternate intervessel pits, helical thickenings in vessel elements, TLS. h: Rays 1–4(–5)-seriate, TLS. i: Crystalliferous strand, multiseriate ray, TLS. Trochodendron beckii, UF 279-24558. j, k: Distinct growth rings, abrupt transition from earlywood to latewood, vesselless, wide rays noded at growth ring boundaries, TS. l: Rays of two distinct sizes, uniseriate and multiseriates>10-seriate, TLS. m. Scalariform intertracheary pits. RLS. Scale bars: 500 µm in j; 200 µm in a, f, k, l; 100 µm in b, h; 50 µm in c, d, e, g, i, m. in A Diverse Assemblage Of Late Eocene Woods From Oregon, Western Usa
Text-fig. 11. Acer Post Hammer species 1, UF 279-34456. a, b: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. c: Crowded alternate intervessel pits, TLS. d: Simple perforation plates, helical thickenings in vessel elements, TLS. e: Rays 2–3-seriate, gum deposit in vessel element, TLS. Acer Post Hammer species 2. UF 279-34466. f: Diffuse-porous wood with distinct growth rings, marked by marginal parenchyma, vessels solitary and in short radial multiples, TS. g: Alternate intervessel pits, helical thickenings in vessel elements, TLS. h: Rays 1–4(–5)-seriate, TLS. i: Crystalliferous strand, multiseriate ray, TLS. Trochodendron beckii, UF 279-24558. j, k: Distinct growth rings, abrupt transition from earlywood to latewood, vesselless, wide rays noded at growth ring boundaries, TS. l: Rays of two distinct sizes, uniseriate and multiseriates>10-seriate, TLS. m. Scalariform intertracheary pits. RLS. Scale bars: 500 µm in j; 200 µm in a, f, k, l; 100 µm in b, h; 50 µm in c, d, e, g, i, m.
Text-fig. 7. Hamamelidoxylon crystalliferum sp. nov., UF 279-34464. a: Diffuse porous wood with exclusively solitary vessels, tending to be angular in outline, TS. b: Growth ring boundary, marked by radially narrowed fibers, latewood vessels narrower than earlywood vessels of the next ring, fibers thick-walled, no axial parenchyma visible, TS. c: Scalariform intervessel pits in narrow vessel (left), fibers with distinctly bordered pits, TLS. d: Scalariform perforation plate, tyloses (T) formation from marginal ray cell, TLS. e: Scalariform perforation plates with fewer than 15 bars (PP), RLS. f: Vessel-ray parenchyma pits with in A Diverse Assemblage Of Late Eocene Woods From Oregon, Western Usa
Text-fig. 7. Hamamelidoxylon crystalliferum sp. nov., UF 279-34464. a: Diffuse porous wood with exclusively solitary vessels, tending to be angular in outline, TS. b: Growth ring boundary, marked by radially narrowed fibers, latewood vessels narrower than earlywood vessels of the next ring, fibers thick-walled, no axial parenchyma visible, TS. c: Scalariform intervessel pits in narrow vessel (left), fibers with distinctly bordered pits, TLS. d: Scalariform perforation plate, tyloses (T) formation from marginal ray cell, TLS. e: Scalariform perforation plates with fewer than 15 bars (PP), RLS. f: Vessel-ray parenchyma pits with
Text-fig. 6. Paramblypterus vratislaviensis (AGASSIZ, 1833). a: restoration of the body in lateral view, scale bar 10 mm; b: restoration of the skull in lateral view (bones that are not clearly retained on the skull are marked with dashed lines), scale bar 10 mm; c: restoration of the skull in dorsal view, scale bar 10 mm. Abbreviations: Cl – cleithrum, Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Ext – extrascapular, Fr – frontal, Gul – lateral gular, Ios – infraorbital superior, Ju – jugal, La – lacrymal, Md – mandible, Mx – maxilla, Na – nasal, Op – operculum, Orb – orbit, Pa – parietal, Pmx – premaxilla, Pop – preoperculum, Pt – posttemporal, Ptr – postrostral, Rbr- branchiostegal rays, Scl – supracleithrum, Soant – supraorbital anterior, Sop – suboperculum, Spi – spiracular, sr – sclerotic ring. in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)
Text-fig. 6. Paramblypterus vratislaviensis (AGASSIZ, 1833). a: restoration of the body in lateral view, scale bar 10 mm; b: restoration of the skull in lateral view (bones that are not clearly retained on the skull are marked with dashed lines), scale bar 10 mm; c: restoration of the skull in dorsal view, scale bar 10 mm. Abbreviations: Cl – cleithrum, Dhy – dermohyal, Dpt – dermopterotic, Dsph – dermosphenotic, Ext – extrascapular, Fr – frontal, Gul – lateral gular, Ios – infraorbital superior, Ju – jugal, La – lacrymal, Md – mandible, Mx – maxilla, Na – nasal, Op – operculum, Orb – orbit, Pa – parietal, Pmx – premaxilla, Pop – preoperculum, Pt – posttemporal, Ptr – postrostral, Rbr- branchiostegal rays, Scl – supracleithrum, Soant – supraorbital anterior, Sop – suboperculum, Spi – spiracular, sr – sclerotic ring.
Text-fig. 17. Aeduellidae. Scale bars 5 mm. a: the scales of oblong shape on the lateral side of the body, locality Otovice "Stěnava", DP 4307, whitened; b: drawing of the scales with fine denticles on their posterior edge, locality Otovice "Stěnava", DP 4307; c, d: drawing and photograph (whitened) of the scales of lateral side of the body, two times large scales occur in the rows 14, 16, 17, 19 (they are marked with arrows), locality Otovice "Černý potok", NM-M 4912; e: lepidotrichia of the anal fin with sigmoidal sutures between the segments (marked by arrows), locality Otovice, NM-M 4931, whitened; f: anterior edge of the dorsal fin and lepidotrichia with sigmoidal sutures between the segments, locality Otovice "Stěnava", DP 4307, whitened; g: anterior edge of the ventral lobe of the caudal fin, locality Otovice, NM-M 4931, whitened; h: the caudal peduncle with begin of bifurcation of the dorsal and ventral lobes of the caudal fin, locality Otovice, NM-M 4931. in Actinopterygians Of The Broumov Formation (Permian) In The Czech Part Of The Intra-Sudetic Basin (The Czech Republic)
Text-fig. 17. Aeduellidae. Scale bars 5 mm. a: the scales of oblong shape on the lateral side of the body, locality Otovice "Stěnava", DP 4307, whitened; b: drawing of the scales with fine denticles on their posterior edge, locality Otovice "Stěnava", DP 4307; c, d: drawing and photograph (whitened) of the scales of lateral side of the body, two times large scales occur in the rows 14, 16, 17, 19 (they are marked with arrows), locality Otovice "Černý potok", NM-M 4912; e: lepidotrichia of the anal fin with sigmoidal sutures between the segments (marked by arrows), locality Otovice, NM-M 4931, whitened; f: anterior edge of the dorsal fin and lepidotrichia with sigmoidal sutures between the segments, locality Otovice "Stěnava", DP 4307, whitened; g: anterior edge of the ventral lobe of the caudal fin, locality Otovice, NM-M 4931, whitened; h: the caudal peduncle with begin of bifurcation of the dorsal and ventral lobes of the caudal fin, locality Otovice, NM-M 4931.
Text-fig. 1. a: Simplified geological map of the Permo-Carboniferous Brive Basin (after Feys 1989) with marked localities L 1 (Brive, road D1089), L 2 (Lanteuil). b: Profile of the Brive Basin (modified from Feys 1989). c: Profile recorded by Guy and Maryse Chantepie in 2007 on the type locality Brive, road D1089. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central
Text-fig. 1. a: Simplified geological map of the Permo-Carboniferous Brive Basin (after Feys 1989) with marked localities L 1 (Brive, road D1089), L 2 (Lanteuil). b: Profile of the Brive Basin (modified from Feys 1989). c: Profile recorded by Guy and Maryse Chantepie in 2007 on the type locality Brive, road D1089.
Text-fig. 1. Locality map with the approximate extent of Clarkia Lake during Miocene times in what is today northern Idaho, USA. Black dots mark three of the localities yielding the Miocene Clarkia flora; the fossil leaf of Nymphaea sp. described here comes from locality P-33. Other symbols: Dashed lines for county boundaries; a thin dotted line for Idaho State Hwy 3; a triangle for the local peak of Bechtel Butte; and a star for the town of Clarkia. Inset: Location of the map in northern Idaho. Abbreviations: WA – Washington state, OR – Oregon, ID – Idaho, MT – Montana. Map redrawn from Ladderud et al. (2015). in First Water Lily, A Leaf Of Nymphaea Sp., From The Miocene Clarkia Flora, Northern Idaho, Usa: Occurrence, Taphonomic Observations, Floristic Implications
Text-fig. 1. Locality map with the approximate extent of Clarkia Lake during Miocene times in what is today northern Idaho, USA. Black dots mark three of the localities yielding the Miocene Clarkia flora; the fossil leaf of Nymphaea sp. described here comes from locality P-33. Other symbols: Dashed lines for county boundaries; a thin dotted line for Idaho State Hwy 3; a triangle for the local peak of Bechtel Butte; and a star for the town of Clarkia. Inset: Location of the map in northern Idaho. Abbreviations: WA – Washington state, OR – Oregon, ID – Idaho, MT – Montana. Map redrawn from Ladderud et al. (2015).
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.