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BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 5. Fiber artist Alexandra Rusu (NUA) working at a Roman vertical loom (video movie)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages</p>
Data for "Vertical characterization of highly oxygenated molecules (*HOMs) below and above a boreal forest canopy"
<p>This excel file consists of the data been analyzed in the manuscript "Vertical characterization of highly oxygenated molecules (*HOMs) below and above a boreal forest canopy". For more details, please contact the author (qiaozhi.zha@helsinki.fi). </p>
Text-fig. 8.—The shape of the frontals. A, the Jordan theropod, LACM 28471, B, Albertosaurus libratus, AMNH 5664, C, A. libratus, USNM 12814. All are drawn to the same length. Vertical lines to the right indicate relative lengths of the three frontals respectively. (B, courtesy of Dale A. Russell, C, redrawn from Russell, 1970). in A new Theropod Dinosaur from the Upper Cretaceous of Central Montana
Text-fig. 8.—The shape of the frontals. A, the Jordan theropod, LACM 28471, B, Albertosaurus libratus, AMNH 5664, C, A. libratus, USNM 12814. All are drawn to the same length. Vertical lines to the right indicate relative lengths of the three frontals respectively. (B, courtesy of Dale A. Russell, C, redrawn from Russell, 1970).
Vertical profiles and integrated time series of bird density and flight speed vector (19.09.2016-10.10.2016)
<p><strong>Description</strong></p> <p>This dataset contains the vertical profiles and integrated time series of bird density and flight speed (NS and EW) used in Nussbaumer (2019) [open access: <a href="https://www.mdpi.com/2072-4292/11/19/2233">https://www.mdpi.com/2072-4292/11/19/2233</a>]. Data are stored in a JavaScript Object Notation (JSON) file for each radar, with the following structure:</p> <pre><code>{ "name" : "bejab", //code name of the radar (http://eumetnet.eu/wp-content/themes/aeron-child/observations-programme/current-activities/opera/database/OPERA_Database/index.html) "lat" : 51.1917, //Latitude "lon" : 3.0642, //Longitude "height" : 50, //Height of the radar antenna [m] a.s.l. "maxrange" : 25, //Maximum range [km] used for profile "alt" : [100, 300,...], "time" : ["19-Sep-2016 00:00:00", "19-Sep-2016 00:05:00",...], "dens" : [[...],...], //Vertical profile of bird density [1/km3] "u" : [[...],...], //Vertical profile of bird flight speed in East(+)/West(-) [m/s] "v" : [[...],...], //Vertical profile of bird flight speed in North(+)/South(-) [m/s] "denss" : [...], //Integrated profile of bird density [1/km2] "us" : [...], //Integrated profile of bird flight speed in East(+)/West(-) [m/s] "vs" : [...], //Integrated profile of bird flight speed in North(+)/South(-) [m/s] }</code></pre> <p> </p> <p><strong>Procedure</strong></p> <p>The raw data are downloaded on the <a href="http://enram.github.io/data-repository/">ENRAM repository</a>,( see Dokter (2011) and (2019) for more details) and processed according to the procedure described below.</p> <ol> <li>Of the 84 radars contributing data during the study period, 11 radars are discarded because of their poor quality due to S-band radar type, poor processing or large gaps (temporal or altitude cut). The same radars were removed in Nilsson et al. (2019).In addition, the 4 radars from Bulgaria and Portugal were excluded because of their geographic isolation.</li> <li>The full vertical profile was discarded when rain was present at any altitude bin. A dedicated MATLAB GUI was used to visualise the data and manually set bird densities to “not-a-number” in such cases. </li> <li>Zones of high bird densities can sometimes be incorrectly eliminated in the raw data. To address this, Nilsson et al. (2019) excluded problematic time or height ranges from the data. Here, in order to keep as much data as possible, the data was manually edited to replace erroneous data either with “not-a-number”, or by cubic interpolation using the dedicated MATLAB GUI.</li> <li>Due to ground scattering,the lower altitude layers are sometimes contaminated by errors or excluded in the raw data. We vertically interpolated bird density by copying the first layer without error into to the lower ones. This approach is relatively conservative as bird migration intensity usually decreases with height in the absence of obstacles, and more so in autumn (Bruderer, 2018)</li> <li>The vertical profiles are vertically integrated from the radar altitude and up to 5000 m asl.</li> <li>The data recorded during daytime are excluded. Daytime is defined at each radar by the civil dawn and dusk (6° below horizon).</li> <li>Finally, the data of 10 radars with high temporal resolution (5-10minutes) was down-sampled to 15 minutes to preserve a balanced representation of each radar.</li> </ol> <p>The resulting cleaned vertical-integrated time series of nocturnal bird density can be viewed in vp_corrected.zip.</p> <p>More details and illustrations are available in Nussbaumer (2019) [open access: <a href="https://www.mdpi.com/2072-4292/11/19/2233">https://www.mdpi.com/2072-4292/11/19/2233</a>], </p> <p><strong>Acknowledgement</strong></p> <p>We acknowledge the <a href="http://eumetnet.eu/activities/observations-programme/current-activities/opera/">European Operational Program for Exchange of Weather Radar Information (EUMETNET/OPERA)</a> for providing access to European radar data, faciliated through a research-only license agreement between EUMETNET/OPERA members and <a href="http://enram.eu/">ENRAM</a>.</p> <p> </p> <p><strong>References</strong></p> <p>Bruderer, B.; Liechti, F. Variation in density and height distribution of nocturnal migration in the south of israel. <em>Israel Journal of Zoology</em> <strong>1995</strong>, <em>41</em>, 477–487. <a href="http://doi.org/10.1080/00212210.1995.10688815">doi:10.1080/00212210.1995.10688815</a>.</p> <p>Dokter A. M. , F. Liechti, H. Stark, L. Delobbe, P. Tabary, and I. Holleman, “Bird migration flight altitudes studied by a network of operational weather radars,” <em>J. R. Soc. Interface</em>, vol. 8, no. 54, pp. 30–43, Jan. <strong>2011</strong>. <a href="http://doi.org/10.1098/rsif.2010.0116">doi:10.1098/rsif.2010.0116</a></p> <p>Dokter A. M. , P. Desmet, J. H. Spaaks, S. van Hoey, L. Veen, L. Verlinden, C. Nilsson, G. Haase, H. Leijnse, A. Farnsworth, W. Bouten, and J. Shamoun‐Baranes, “bioRad: biological analysis and visualization of weather radar data,” <em>Ecography </em>(Cop.)., vol. 42, no. 5, pp. 852–860, May <strong>2019</strong>. <a href="http://doi.org/10.1111/ecog.04028">doi: 10.1111/ecog.04028</a></p> <p>Nilsson, C.; Dokter, A.M.; Verlinden, L.; Shamoun-Baranes, J.; Schmid, B.; Desmet, P.; Bauer, S.; Chapman, J.; Alves, J.A.; Stepanian, P.M.; Sapir, N.;Wainwright, C.; Boos, M.; Górska, A.; Menz, M.H.M.; Rodrigues, P.; Leijnse, H.; Zehtindjiev, P.; Brabant, R.; Haase, G.; Weisshaupt, N.; Ciach, M.; Liechti, F. Revealing patterns of nocturnal migration using the European weather radar network. <em>Ecography </em><strong>2019</strong>, <em>42</em>, 876–886. <a href="http://doi.org/10.1111/ecog.04003">doi:10.1111/ecog.04003</a>.</p> <p>Nussbaumer R., L. Benoit, G. Mariethoz, F. Liechti, S. Bauer, and B. Schmid, “A Geostatistical Approach to Estimate High Resolution Nocturnal Bird Migration Densities from a Weather Radar Network,” <em>Remote Sens</em>., vol. 11, no. 19, p. 2233, Sep. <strong>2019</strong>. <a href="https://www.mdpi.com/2072-4292/11/19/2233">doi: 10.3390/rs11192233</a></p> <p> </p> <p> </p>
Glider, turbulence and ADCP datasets used in the manuscript "Storm-induced turbulence alters shelf sea vertical fluxes"
<p>Measurements of shear microstructure, temperature, conductivity, and fluorescence of chlorophyll-a of a stratified water column were taken in the German Bight of the North Sea in Summer 2014. During the measurement period, a storm entered the study region and mixed the water column thoroughly, modifying water column dynamics. The measured quantities were used to estimate turbulence, stratification, mixing, water column stability and changes in the signal of chlorophyll-a.</p>
Figures 1–2 in Vertical stratification of Sphingidae moths (Lepidoptera: Bombycoidea: Sphingidae) in the Tapajós National Forest, Pará, Brazil
Figures 1–2. Map of the location of the sampling unit (red circle): (1) Tapajós National Forest, western Pará (Google Earth satellite image); (2) LBA platform tower located at Forest National Tapajós. Photo: Genilson Rego, 2009.
Figure 6 in Vertical stratification of Sphingidae moths (Lepidoptera: Bombycoidea: Sphingidae) in the Tapajós National Forest, Pará, Brazil
Figure 6. Rarefaction curves of the observed species richness of Sphingidae based on the number of specimens, collected with light traps, in the three strata canopy (C), midstory (M) and understory (U), in the Forest National Tapajós, Pará, Brazil, from May 2019 to February 2020.
Figure 5 in Vertical stratification of Sphingidae moths (Lepidoptera: Bombycoidea: Sphingidae) in the Tapajós National Forest, Pará, Brazil
Figure 5. Species diversity profiles in the Rényi series samples in the three strata canopy, midstor and understory, in the Forest National Tapajós, Pará, Brazil, from May 2019 to February 2020.
Figures 3–4 in Vertical stratification of Sphingidae moths (Lepidoptera: Bombycoidea: Sphingidae) in the Tapajós National Forest, Pará, Brazil
Figures 3–4. Faunal composition of Sphingidae from canopy (C), midstory (M) and understory (U) samples of the Forest National Tapajós, Pará, Brazil, from May 2019 to February 2020. Analyzes were based on (3) abundance and (4) richness.
Figure 7 in Vertical stratification of Sphingidae moths (Lepidoptera: Bombycoidea: Sphingidae) in the Tapajós National Forest, Pará, Brazil
Figure 7. Non-metric Multidimensional Scaling analysis (NMDS) based on the Bray-Curtis index for Sphingidae species collected with a light trap in Forest National Tapajós, Pará, Brazil, from May 2019 to February 2020. Canopy (green dots), midstory (orange dots) and understory (blue dots).
Figure. Mean pre-adult development time (in days) values for all strains. Vertical bars denote 0.95 confidence intervals. in Effects of artificial migration of susceptible individuals on resistance and fitness of a fenitrothion-resistant strain of Musca domestica (L.) Diptera
Figure. Mean pre-adult development time (in days) values for all strains. Vertical bars denote 0.95 confidence intervals.
Figure 4 in Diurnal vertical distribution of zooplankton in a newly formed reservoir (Tahtalı Reservoir, Kocaeli): the role of abiotic factors and chlorophyll a
Figure 4. The vertical distribution of A) K. cochlearis, B) P. vulgaris, C) P. sulcata, D) total Rotifera, E) B. longirostris, F) total Cladocera, G) copepod nauplii, and H) total Copepoda, denoted by the time of sampling.
Text-fig. 3. Schematic geological section of the Kristina Mine near Hrádek/N. (state in 1963–1964) – height/length ratio 3:1. Explanations: vertical hatching – lignite seam, seamlet; dotted – coarse-grained sand, pea-gravel; short lines – sandy clay; white – clay; black lines – clay ironstone concretions; black dots – individual fossiliferous horizons designated as (A) plastic clay from the upper part of the main xylitic seam (about 5 m under t of the seam, (B) clay and "Blätterkohle" from the uppermost part of the first seamlet (split off the Main Coal Seam), (C) slightly sandy brown clay under the uppermost part of the Main Coal Seam, (D) base of the sandy clay with large concretions of the clay ironstone above the Main Coal Seam, (E) sandy clay (incl. clay ironstone) supplying most of leaf material with cuticles (F) 1–2 cm thin silty lenticles or thin beds of the sandy clay with xylites and Eomastixia within peagravels and coarse-grained sands, (G) coarse-grained sands with clayish silts with Fagus, Ocotea, Pterocarya, Tectocarya, (H) brown sandy clay underlying the uppermost seamlet, (I) lignite clay, base of the uppermost seamlet (J) Glyptostrobus – "Blätterkohle", base of the uppermost seamlet (according to Holý 1975, modified). in A Review Of The Early Miocene Mastixioid Flora Of The Kristina Mine At Hrádek Nad Nisou In North Bohemia (The Czech Republic)
Text-fig. 3. Schematic geological section of the Kristina Mine near Hrádek/N. (state in 1963–1964) – height/length ratio 3:1. Explanations: vertical hatching – lignite seam, seamlet; dotted – coarse-grained sand, pea-gravel; short lines – sandy clay; white – clay; black lines – clay ironstone concretions; black dots – individual fossiliferous horizons designated as (A) plastic clay from the upper part of the main xylitic seam (about 5 m under t of the seam, (B) clay and "Blätterkohle" from the uppermost part of the first seamlet (split off the Main Coal Seam), (C) slightly sandy brown clay under the uppermost part of the Main Coal Seam, (D) base of the sandy clay with large concretions of the clay ironstone above the Main Coal Seam, (E) sandy clay (incl. clay ironstone) supplying most of leaf material with cuticles (F) 1–2 cm thin silty lenticles or thin beds of the sandy clay with xylites and Eomastixia within peagravels and coarse-grained sands, (G) coarse-grained sands with clayish silts with Fagus, Ocotea, Pterocarya, Tectocarya, (H) brown sandy clay underlying the uppermost seamlet, (I) lignite clay, base of the uppermost seamlet (J) Glyptostrobus – "Blätterkohle", base of the uppermost seamlet (according to Holý 1975, modified).
Text-fig. 8. Eospondylus cf. primigenius (STÜRTZ) "Červený lom" quarry near Praha-Klukovice, Loděnice Limestone, Lower Devonian, Pragian, NM L 36910, x 25. Left lateral plate, outer view. The surface leading to the vertical ridge flairs outward. The height profile leaves uncovered part of the side of the arm vertebra. in Isolated Ossicles Of The Family Eospondylidae Spencer Wright, 1966, In The Lower Devonian Of Bohemia (Czech Republic) And Correction Of The Systematic Position Of Eospondylid Brittlestars (Echinodermata: Ophiuroidea: Oegophiurida)
Text-fig. 8. Eospondylus cf. primigenius (STÜRTZ) "Červený lom" quarry near Praha-Klukovice, Loděnice Limestone, Lower Devonian, Pragian, NM L 36910, x 25. Left lateral plate, outer view. The surface leading to the vertical ridge flairs outward. The height profile leaves uncovered part of the side of the arm vertebra.
Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively. in A nonparametric approach in quantifying species richness of Lumbricidae in East Serbia, Balkan Peninsula
Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively.
Dataset to: Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland
<p>This repository contains the datasets used in the study 'Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland'. Detailed information and technical aspects of the data can be found in the publication.</p>
Fig. 1 in Lack of evidence of vertical transmission of Karyolysus blood parasites in Iberian green lizards (Lacerta schreiberi)
Fig. 1. Karyolysus sp. Trophozoite (a–c) and gamonts (d–f) found in blood smears of L. schreiberi lizards. Scalebar = 10 μm.
Рис. 21–32. Lixus pulverulentus, кукоΛка, внешний виΔ и хетотаксия. 21 – виΔ снизу; 22 – виΔ сверху; 23 – виΔ сбоку; 24 – хетотаксия гоΛовы; 25 – хетотаксия переΔнеспинки; 26 – хетотаксия среΔнеспинки; 27 – хетотаксия заΔнеспинки; 28 – хетотаксия брюшного сегмента I; 29 – хетотаксия брюшного сегмента II; 30 – хетотаксия брюшного сегмента VII; 31 – хетотаксия брюшного сегмента VIII; 32 –хетотаксия брюшного сегмента IX. Figs 21–32. Lixus pulverulentus, pupa, habitus and chaetotaxy. 21 – ventral view; 22 – dorsal view; 23 – lateral view; 24 – chaetotaxy of head; 25 – chaetotaxy of pronotum; 26 – chaetotaxy of mesonotum; 27 – chaetotaxy of metanotum; 28 – chaetotaxy of abdominal segment I; 29 – chaetotaxy of abdominal segment II; 30 – chaetotaxy of abdominal segment VII; 31 – chaetotaxy of abdominal segment VIII; 32 – chaetotaxy of abdominal segment IX. ps – pseudocerci, Th n –thoracic segments, Ab n –abdominal segments; setae: as – apical, d – dorsal, ds – discal, fs – femoral, ls – lateral, os – orbital, pas – postatennal, pls – posterolateral, rs – rostral, sos – super-orbital, sls – superlateral, v – ventral, vs – vertical. in Description of the preimaginal stages and biology of the weevil Lixus (Dilixellus) pulverulentus (Scopoli, 1763) (Coleoptera: Curculionidae: Lixini)
Рис. 21–32. Lixus pulverulentus, кукоΛка, внешний виΔ и хетотаксия. 21 – виΔ снизу; 22 – виΔ сверху; 23 – виΔ сбоку; 24 – хетотаксия гоΛовы; 25 – хетотаксия переΔнеспинки; 26 – хетотаксия среΔнеспинки; 27 – хетотаксия заΔнеспинки; 28 – хетотаксия брюшного сегмента I; 29 – хетотаксия брюшного сегмента II; 30 – хетотаксия брюшного сегмента VII; 31 – хетотаксия брюшного сегмента VIII; 32 –хетотаксия брюшного сегмента IX. Figs 21–32. Lixus pulverulentus, pupa, habitus and chaetotaxy. 21 – ventral view; 22 – dorsal view; 23 – lateral view; 24 – chaetotaxy of head; 25 – chaetotaxy of pronotum; 26 – chaetotaxy of mesonotum; 27 – chaetotaxy of metanotum; 28 – chaetotaxy of abdominal segment I; 29 – chaetotaxy of abdominal segment II; 30 – chaetotaxy of abdominal segment VII; 31 – chaetotaxy of abdominal segment VIII; 32 – chaetotaxy of abdominal segment IX. ps – pseudocerci, Th n –thoracic segments, Ab n –abdominal segments; setae: as – apical, d – dorsal, ds – discal, fs – femoral, ls – lateral, os – orbital, pas – postatennal, pls – posterolateral, rs – rostral, sos – super-orbital, sls – superlateral, v – ventral, vs – vertical.
FIGURE 14. Vertical shafts with terminal chambers. 1 in Neoichnology of the burrowing spiders Gorgyrella inermis (Mygalomorphae: Idiopidae) and Hogna lenta(Araneomorphae: Lycosidae)
FIGURE 14. Vertical shafts with terminal chambers. 1, Burrow produced by juvenile Gorgyrella inermis (G2). 2, Burrow produced by adult G. inermis (G17). 3, Burrow produced by adult G. inermis (G16). 4, Burrow produced by Hogna lenta (H4).
FIGURE 12. Vertical shafts. 1 in Neoichnology of the burrowing spiders Gorgyrella inermis (Mygalomorphae: Idiopidae) and Hogna lenta(Araneomorphae: Lycosidae)
FIGURE 12. Vertical shafts. 1, Burrow produced by an adult Gorgyrella inermis (G9). 2, Burrow produced by Hogna lenta. This burrow served as a brood burrow in addition to a dwelling structure (H5). 3, Burrow produced by juvenile G. inermis (G15). 4, Burrow produced by H. lenta (H7).
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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.