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C2SMARTER Year 1 Project "Enhancing Transit Access and Safety Through Equitable Micromobility Solution"
<p>These 6 PDF files are the maps produced from Task 1 of the C2SMARTER Year 1 project Enhancing Transit Access and Safety Through Equitable Micromobility Solution.</p> <p>Site A and Site B are transit underserved areas (census tracts in El Paso, Texas) identified in Task 1 of this project.</p> <p>The first 2 maps shows the underserved areas overlaid with bus stops (taken from the General Transit Feed Specification or GTFS database).</p> <p>The next 2 maps shows the underserved areas overlaid with locations of crashes involving pedestrians and bicycles from 1/1/2024 to 7/30/2024..</p> <p>The last 2 maps color coded the streets in Site A and Site B with bicycle level of traffic stress (LTS).</p>
Large SEM-BSE images of hydrated belite of ages from 14 days up to 1 year
<p>This dataset contains 8-Bit SEM-BSE images of commercially available dicalcium silicate (C<sub>2</sub>S; belite; Vustah, Czech Republic). The belite was mixed with a water/binder ratio of 0.5. The paste was the cast in small sealed containers, which were submersed with water. The specimens were stored at 22 ± 2°C.</p> <p>After the desired hydration times (14, 28, 84, 365 days) the hydration was stopped by immersing the prisms in isopropanol and drying them at 60°C for 12 hours. The dried prisms were then embedded in low viscosity epoxy resin and mechanically polished using diamond paste with a grain size down to 0.25 µm. Finally, the specimens were coatet with a thin layer of carbon to avoid charging.</p> <p>The images were acquired at 12 kV using a CBS (concentric backscatter) detector within a Thermofischer Helios G4 UX.</p> <p><strong>Table 1</strong>: Basic information like resolution, size and phase composition of the images.</p> <table> <tbody> <tr> <td><strong>file</strong></td> <td><strong>age</strong></td> <td><strong>size</strong></td> <td><strong>size</strong></td> <td><strong>area</strong></td> <td><strong>pores</strong></td> <td><strong>hydrates</strong></td> <td><strong>clinker</strong></td> </tr> <tr> <td> </td> <td>in days</td> <td>in px</td> <td>in µm</td> <td>in mm²</td> <td>area-%</td> <td>area-%</td> <td>area-%</td> </tr> <tr> <td>C2S 14d.tif</td> <td>14</td> <td>36864 x 36864</td> <td>1554.0 x 1554.0</td> <td>2.41</td> <td>31.4</td> <td>43.5</td> <td>25.2</td> </tr> <tr> <td>C2S 28d.tif</td> <td>28</td> <td>36864 x 36864</td> <td>1554.0 x 1554.0</td> <td>2.41</td> <td>15.9</td> <td>62.6</td> <td>21.5</td> </tr> <tr> <td>C2S 84d.tif</td> <td>84</td> <td>36864 x 36864</td> <td>1554.0 x 1554.0</td> <td>2.41</td> <td>19.3</td> <td>65.6</td> <td>15.2</td> </tr> <tr> <td>C2S 365d.tif</td> <td>365</td> <td>36864 x 36864</td> <td>1554.0 x 1554.0</td> <td>2.41</td> <td>23.8</td> <td>64.4</td> <td>12.0</td> </tr> </tbody> </table> <p>The proportions of pores, hydrates and unhydrated clinker shown in table 1 are the result of manual thresholding of denoised versions of these images and may therefore differ to own measurements.</p> <p>The scaling is backed into the file and can be read using ImageJ/Fiji.</p> <p>The unstitched files are provded as 7z archives. The sub-images were arranged in a 10 x 10 grid. The pixel scaling of these files is the same as in the larger files.</p> <p><strong>Internal note</strong></p> <p>These files are included in the following MAPS datasets:</p> <ul> <li>2023_05_24 C32-C2S 14-84 d</li> <li>2023_06_08 C2S-C3S 28d-1year</li> </ul> <p><strong>Funding</strong></p> <p>The research was supported by the Deutsche Forschungsgemeinschaft (DFG), grant number <a href="https://gepris.dfg.de/gepris/projekt/344069666">344069666</a>.</p>
Fig. 1 in Preface: How far has Neotropical Ichthyology progressed in twenty years?
Fig. 1. Accumulative curve of valid freshwater species described by year from 1977 to 2017 (last 40 years) in the Neotropical region (based on Reis et al., 2003, and Fricke et al., 2018), showing an increased rate of species description in the beginning of the twenty-first century, and the estimate number of total valid species for the region based on Jackknife 1.
Fig. 1 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 1. Satellite image of the study area Mbiye Island, DRC (map data © 2012 Google & GeoEye). The blue point shows the collection locality of G. superba Hayman, 1939.
Fig. 1 in New details of the enigmatic 100 million years old antlion-like larvae of Ankyloleon (Myrmeleontiformia, Neuroptera)
Fig. 1. Late stage larva of Ankyloleon caudatus Badano, Haug & Cerretti, 2021, PED 2475. A. Ventral view. B. Lateral right view. C. Dorsal view. E. Colour-marked version of a combined image of A and C. E. Close-up on tip of stylets, showing serrations. F. Close-op of pronotum with prominent setae. G. Close-up on paddle-shaped trunk end. E is an inverted image under transmitted light; all other images under reflected light. Abbreviations: hc = head capsule; pa = posterior abdomen; pt = prothorax; sy = stylet.
Fig. 1 in Seventy years of Dr. Jan Ježek
Fig. 1. Jan Ježek in his famous tropical pith helmet collecting ectoparasitic insects during one of the Iranian entomological expeditions in 1970s.
Year 1 Tanzanian ponds snail-parasite dynamics
<div> <div> <div> <div> <p>Different populations of hosts and parasites experience distinct seasonality in environmental factors, depending on local-scale biotic and abiotic factors. This can lead to highly heterogeneous disease outcomes across host ranges. Variable seasonality characterizes urogenital schistosomiasis, a neglected tropical disease caused by parasitic trematodes (<em>Schistosoma</em> <em>haematobium</em>). Their intermediate hosts are aquatic <em>Bulinus</em> snails that are highly adapted to extreme rainfall seasonality, undergoing prolonged dormancy yearly. While <em>Bulinus</em> snails have a remarkable capacity for rebounding following dormancy, we investigated the extent to which parasite survival within snails is diminished. We conducted an investigation of seasonal snail-schistosome dynamics in 109 ponds of variable ephemerality in Tanzania from August 2021 to July 2022. First, we found that ponds have two synchronized peaks of schistosome infection prevalence and observed cercariae, though of lower magnitude in the fully-desiccating than non-desiccating ponds. Second, we evaluated total yearly schistosome prevalence across an ephemerality gradient, finding ponds with intermediate ephemerality to have the highest infection rates. We also investigated dynamics of non-schistosome trematodes, which lacked synonymity with schistosome patterns. We found peak schistosome transmission risk at intermediate pond ephemerality, thus the impacts of anticipated increases in landscape desiccation could result in increases or decreases in transmission risk with global change.</p> </div> </div> </div> </div>
Figure 1. A-G. Trichocline maxima. A in Trichocline maxima (Compositae, Mutisieae) a rare Pampean daisy rediscovered after 70 years in Uruguay
Figure 1. A-G. Trichocline maxima. A. General view of the species habit; B. Capitulum; C. Involucre; D. Detail of achene and pappus; E. Detail of rosette leaves, scapes and xylopodium; F. Detail of the rosette and lobate leaves; G. Habitat. Photos credits: A-C, F and G by José M. Bonifacino; D by Fábio P. Torchelsen.
FIGURE 1 in Biological control of weeds in Australia: the last 120 years
FIGURE 1 Number of weed biological control agent releases per decade (known deliberate releases only).
FIGURE 1 in Developing a database of Australian grasshopper occurrences from historic field survey notebooks spanning 54 years (Orthoptera: Acrididae, Morabidae, Pyrgomorphidae, Tetrigidae)
FIGURE 1 First page of field notebook number 156. This trip was conducted from Port Augusta to Norseman, Western Australia, by Ken Key, Murray S Upton and Jim Balderson from 28/9/1963 to 23/10/1963. Plant specimens were identified by Nancy T Burbidge. On 28th of September, they started from Mildura, took Arumpo road at a vehicle odometer 6827 and travelled 6 mi to reach 6833. Site description and general observations for collection at stop 6833: Flat with sparse belah and Callitris robusta to 25 ft on pale brown sandy loam with?Cassia sp. abundant to 8 ft and regrowth. Ground layer of Bassia spp. and Kochia spp. to 6 in. and occasional Kochia?pyramidata to 2 ft barley grass and succulents drying off, considerable bare ground. Return. Grasshoppers collected at this site: Cratilopus sp. 1, Chortoicetes terminifera, Caperrala sp. 1 (j.), Apotropis vittata (j.).
FIGURE 1 in DARIO R. FAUSTINO-FUSTER, JEISSON A. LÓPEZ-CASTAÑO, JHONATAN M. QUIÑONES & VANESSA MEZA-VARGAS (2024) Increasing the species diversity of the monotypic genus Pariolius Cope 1872 (Siluriformes: Heptapteridae) after more than 150 years. Zootaxa, 5433 (3): 389-403.
FIGURE 1. Pariolius pax, new species, MHNU-I, 3258, holotype, 38.8 mm SL, Ovejas creek tributary to Guaviare River, Meta State. (A) Lateral view. (B) Ventral view. (C) Dorsal view. Bar = 1 cm.
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.
Monthly averaged lightning data extracted from 1-year EMAC simulation including LCC-lightning (between 1 March, 2017 and 28 February, 2018, T42L90MA resolution).
<p>About Dataset<br> Monthly averaged lightning data extracted from 1-year EMAC simulation (between 1 March, 2017 and 28 February, 2018, T42L90MA resolution).</p> <p>Authors: Francisco J. Perez-Invernon, Heidi Huntrieser, Patrick Joeckel and Francisco J. Gordillo-Vazquez</p> <p>Description of the data<br> P_cth.tar: Lightning parameterization based on cloud top height. Scaling factor is applied.<br> L_cth.tar: Lightning parameterization based on cloud top height and modified over the oceans. A scaling factor of 0.571 have to be applied.<br> G_updr: Lightning parameterization based on updraft velocity. Scaling factor is applied.<br> A_prec: Lightning parameterization based on convective precipitation. A scaling factor of 0.76 have to be applied.<br> A_updr: Lightning parameterization based on Updraft strength at 440~hPa. A scaling factor of 0.01618 have to be applied.<br> P_cth + A_prec: Lightning parameterization based on cloud top height and updraft velocity. A scaling factor of 1.13 have to be applied.</p> <p>File format: netcdf</p> <p> Example:<br> <br> netcdf LCC_2017_______20170201_0000_mmlb_PaR_T {<br> dimensions:<br> time = UNLIMITED ; // (1 currently)<br> lon = 128 ;<br> lat = 64 ;<br> tbnds = 2 ;<br> variables:<br> double time(time) ;<br> time:long_name = "time" ;<br> time:bounds = "time_bnds" ;<br> time:units = "day since 2017-01-01 00:00:00" ;<br> time:calendar = "gregorian" ;<br> double YYYYMMDD(time) ;<br> YYYYMMDD:long_name = "time" ;<br> YYYYMMDD:units = "days as %Y%m%d.%f" ;<br> YYYYMMDD:calendar = "gregorian" ;<br> double dt(time) ;<br> dt:long_name = "delta_time" ;<br> dt:units = "s" ;<br> double nstep(time) ;<br> nstep:long_name = "current time step" ;<br> float lon(lon) ;<br> lon:long_name = "longitude" ;<br> lon:units = "degrees_east" ;<br> float lat(lat) ;<br> lat:long_name = "latitude" ;<br> lat:units = "degrees_north" ;<br> float aps(time, lat, lon) ;<br> aps:long_name = "surface pressure" ;<br> aps:units = "Pa" ;<br> aps:representation = "GP_2D_HORIZONTAL" ;<br> aps:grid_type = "gaussian" ;<br> aps:table = 128 ;<br> aps:code = 134 ;<br> aps:REFERENCE_TO = "g3b: aps" ;<br> aps:coordinates = "lon lat" ;<br> aps:cell_methods = "time: point" ;<br> float aps_ave(time, lat, lon) ;<br> aps_ave:long_name = "surface pressure" ;<br> aps_ave:units = "Pa" ;<br> aps_ave:representation = "GP_2D_HORIZONTAL" ;<br> aps_ave:grid_type = "gaussian" ;<br> aps_ave:table = 128 ;<br> aps_ave:code = 134 ;<br> aps_ave:REFERENCE_TO = "g3b: aps" ;<br> aps_ave:coordinates = "lon lat" ;<br> aps_ave:cell_methods = "time: mean" ;<br> float fpscg(time, lat, lon) ;<br> fpscg:long_name = "CG flash frequency" ;<br> fpscg:units = "1/s" ;<br> fpscg:REFERENCE_TO = "lnox_PaR_T_gp: fpscg" ;<br> fpscg:coordinates = "lon lat" ;<br> fpscg:cell_methods = "time: point" ;<br> float fpscg_ave(time, lat, lon) ;<br> fpscg_ave:long_name = "CG flash frequency" ;<br> fpscg_ave:units = "1/s" ;<br> fpscg_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpscg" ;<br> fpscg_ave:coordinates = "lon lat" ;<br> fpscg_ave:cell_methods = "time: mean" ;<br> float fpsic(time, lat, lon) ;<br> fpsic:long_name = "IC flash frequency" ;<br> fpsic:units = "1/s" ;<br> fpsic:REFERENCE_TO = "lnox_PaR_T_gp: fpsic" ;<br> fpsic:coordinates = "lon lat" ;<br> fpsic:cell_methods = "time: point" ;<br> float fpsic_ave(time, lat, lon) ;<br> fpsic_ave:long_name = "IC flash frequency" ;<br> fpsic_ave:units = "1/s" ;<br> fpsic_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpsic" ;<br> fpsic_ave:coordinates = "lon lat" ;<br> fpsic_ave:cell_methods = "time: mean" ;<br> float fpsm2cg(time, lat, lon) ;<br> fpsm2cg:long_name = "CG flash density" ;<br> fpsm2cg:units = "1/s/m2" ;<br> fpsm2cg:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2cg" ;<br> fpsm2cg:coordinates = "lon lat" ;<br> fpsm2cg:cell_methods = "time: point" ;<br> float fpsm2cg_ave(time, lat, lon) ;<br> fpsm2cg_ave:long_name = "CG flash density" ;<br> fpsm2cg_ave:units = "1/s/m2" ;<br> fpsm2cg_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2cg" ;<br> fpsm2cg_ave:coordinates = "lon lat" ;<br> fpsm2cg_ave:cell_methods = "time: mean" ;<br> float fpsm2ic(time, lat, lon) ;<br> fpsm2ic:long_name = "IC flash density" ;<br> fpsm2ic:units = "1/s/m2" ;<br> fpsm2ic:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2ic" ;<br> fpsm2ic:coordinates = "lon lat" ;<br> fpsm2ic:cell_methods = "time: point" ;<br> float fpsm2ic_ave(time, lat, lon) ;<br> fpsm2ic_ave:long_name = "IC flash density" ;<br> fpsm2ic_ave:units = "1/s/m2" ;<br> fpsm2ic_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2ic" ;<br> fpsm2ic_ave:coordinates = "lon lat" ;<br> fpsm2ic_ave:cell_methods = "time: mean" ;<br> float fpslcc10(time, lat, lon) ;<br> fpslcc10:long_name = "LCC(>10 ms) flash frequency" ;<br> fpslcc10:units = "1/s" ;<br> fpslcc10:REFERENCE_TO = "lnox_PaR_T_gp: fpslcc10" ;<br> fpslcc10:coordinates = "lon lat" ;<br> fpslcc10:cell_methods = "time: point" ;<br> float fpslcc10_ave(time, lat, lon) ;<br> fpslcc10_ave:long_name = "LCC(>10 ms) flash frequency" ;<br> fpslcc10_ave:units = "1/s" ;<br> fpslcc10_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpslcc10" ;<br> fpslcc10_ave:coordinates = "lon lat" ;<br> fpslcc10_ave:cell_methods = "time: mean" ;<br> float fpslcc20(time, lat, lon) ;<br> fpslcc20:long_name = "LCC(>20 ms) flash frequency" ;<br> fpslcc20:units = "1/s" ;<br> fpslcc20:REFERENCE_TO = "lnox_PaR_T_gp: fpslcc20" ;<br> fpslcc20:coordinates = "lon lat" ;<br> fpslcc20:cell_methods = "time: point" ;<br> float fpslcc20_ave(time, lat, lon) ;<br> fpslcc20_ave:long_name = "LCC(>20 ms) flash frequency" ;<br> fpslcc20_ave:units = "1/s" ;<br> fpslcc20_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpslcc20" ;<br> fpslcc20_ave:coordinates = "lon lat" ;<br> fpslcc20_ave:cell_methods = "time: mean" ;<br> float fpsm2lcc10(time, lat, lon) ;<br> fpsm2lcc10:long_name = "LCC(>10 ms) flash density" ;<br> fpsm2lcc10:units = "1/s/m2" ;<br> fpsm2lcc10:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2lcc10" ;<br> fpsm2lcc10:coordinates = "lon lat" ;<br> fpsm2lcc10:cell_methods = "time: point" ;<br> float fpsm2lcc10_ave(time, lat, lon) ;<br> fpsm2lcc10_ave:long_name = "LCC(>10 ms) flash density" ;<br> fpsm2lcc10_ave:units = "1/s/m2" ;<br> fpsm2lcc10_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2lcc10" ;<br> fpsm2lcc10_ave:coordinates = "lon lat" ;<br> fpsm2lcc10_ave:cell_methods = "time: mean" ;<br> float fpsm2lcc20(time, lat, lon) ;<br> fpsm2lcc20:long_name = "LCC(>20 ms) flash density" ;<br> fpsm2lcc20:units = "1/s/m2" ;<br> fpsm2lcc20:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2lcc20" ;<br> fpsm2lcc20:coordinates = "lon lat" ;<br> fpsm2lcc20:cell_methods = "time: point" ;<br> float fpsm2lcc20_ave(time, lat, lon) ;<br> fpsm2lcc20_ave:long_name = "LCC(>20 ms) flash density" ;<br> fpsm2lcc20_ave:units = "1/s/m2" ;<br> fpsm2lcc20_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2lcc20" ;<br> fpsm2lcc20_ave:coordinates = "lon lat" ;<br> fpsm2lcc20_ave:cell_methods = "time: mean" ;<br> float fpssprite(time, lat, lon) ;<br> fpssprite:long_name = "Sprites flash frequency" ;<br> fpssprite:units = "1/s" ;<br> fpssprite:REFERENCE_TO = "lnox_PaR_T_gp: fpssprite" ;<br> fpssprite:coordinates = "lon lat" ;<br> fpssprite:cell_methods = "time: point" ;<br> float fpssprite_ave(time, lat, lon) ;<br> fpssprite_ave:long_name = "Sprites flash frequency" ;<br> fpssprite_ave:units = "1/s" ;<br> fpssprite_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpssprite" ;<br> fpssprite_ave:coordinates = "lon lat" ;<br> fpssprite_ave:cell_methods = "time: mean" ;<br> float fpsm2sprite(time, lat, lon) ;<br> fpsm2sprite:long_name = "Sprites flash density" ;<br> fpsm2sprite:units = "1/s/m2" ;<br> fpsm2sprite:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2sprite" ;<br> fpsm2sprite:coordinates = "lon lat" ;<br> fpsm2sprite:cell_methods = "time: point" ;<br> float fpsm2sprite_ave(time, lat, lon) ;<br> fpsm2sprite_ave:long_name = "Sprites flash density" ;<br> fpsm2sprite_ave:units = "1/s/m2" ;<br> fpsm2sprite_ave:REFERENCE_TO = "lnox_PaR_T_gp: fpsm2sprite" ;<br> fpsm2sprite_ave:coordinates = "lon lat" ;<br> fpsm2sprite_ave:cell_methods = "time: mean" ;<br> float bps(time, lat, lon) ;<br> bps:long_name = "BJ flash frequency" ;<br> bps:units = "1/s" ;<br> bps:REFERENCE_TO = "bluejetbPaR_T_gp: bps" ;<br> bps:coordinates = "lon lat" ;<br> bps:cell_methods = "time: point" ;<br> float bps_ave(time, lat, lon) ;<br> bps_ave:long_name = "BJ flash frequency" ;<br> bps_ave:units = "1/s" ;<br> bps_ave:REFERENCE_TO = "bluejetbPaR_T_gp: bps" ;<br> bps_ave:coordinates = "lon lat" ;<br> bps_ave:cell_methods = "time: mean" ;<br> float bpsm2(time, lat, lon) ;<br> bpsm2:long_name = "BJ flash density" ;<br> bpsm2:units = "1/s/m2" ;<br> bpsm2:REFERENCE_TO = "bluejetbPaR_T_gp: bpsm2" ;<br> bpsm2:coordinates = "lon lat" ;<br> bpsm2:cell_methods = "time: point" ;<br> float bpsm2_ave(time, lat, lon) ;<br> bpsm2_ave:long_name = "BJ flash density" ;<br> bpsm2_ave:units = "1/s/m2" ;<br> bpsm2_ave:REFERENCE_TO = "bluejetbPaR_T_gp: bpsm2" ;<br> bpsm2_ave:coordinates = "lon lat" ;<br> bpsm2_ave:cell_methods = "time: mean" ;<br> double time_bnds(time, tbnds) ;<br> time_bnds:long_name = "time bounds" ;<br> time_bnds:units = "days since 2017-01-01T00:00:00Z" ;<br> time_bnds:cell_methods = "time: point"</p>
Fig. 1 in Re-description of Metedwardsia akkeshi (Cnidaria: Anthozoa: Actiniaria: Edwardsiidae), Discovered in Akkeshi, Hokkaido, Almost 80 Years after Original Description, with a Revision of the Diagnosis of Genus Metedwardsia
Fig. 1. Location of sites where Metedwardsia akkeshi specimens were collected. A, localities where Metedwardsia akkeshi were collected in Hokkaido, Japan. Sites in Nemuro are indicated by black arrows (Lake Onne-to and Lake Furen); B, enlarged map of Akkeshi. Collection sites in Akkeshi are indicated by black arrows (Akkeshi Bay and Lake Akkeshi); C, the Chikarakotan mud flat of Lake Akkeshi; D, Shinryuhama Beach of Akkeshi Bay (image courtesy of Naoto Jimi); E, mud flat near the Onne-to Ohashi Bridge, Lake Onne-to.
FIG. 1 in The "Our Planet Reviewed" Mitaraka 2015 expedition: a full account of its research outputs after six years and recommendations for future surveys
FIG. 1. — Number of species published by semester from the end of the expedition, with first semester: July-December 2015, and last semester: January-July 2021. The expedition was accomplished in August 2015.
FIG. 1 in A 100-million-year-old ensiferan with unusual mouthparts and comments on the evolution of raptorial appendages within Polyneoptera
FIG. 1. — Holotype of Gryllobencain patrickmuelleri n. gen., n. sp., PED 0147: A, overview in dorsal view; B, overview in ventral view; C, close-up on maxillary palp, distal part; D, close-up on thorax appendage 1. Abbreviations: an, antenna; ce, cercus; cl1, claw of thorax appendage 1; f1-2, femur of thorax appendage 1-2; hc, head capsule; mp, maxillary palp; sp, spine-like seta; t1-3, thorax segment 1-3; ta1-3, tarsus of thorax appendage 1-3; tcl, tibia claw; ti1-3, tibia of thorax appendage 1-3. Scale bars: A, B, 1 mm; C, 0.25 mm; D, 0.5 mm.
Data for "Measurement Report: A Multi-Year Study on the Impacts of Chinese New Year Celebrations on Air 1 Quality in Beijing, China."
<p>These are the datasets that have been used for the article "Measurement Report: A Multi-Year Study on the Impacts of Chinese New Year Celebrations on Air 1 Quality in Beijing, China," which is published in the journal <em>Atmospheric Chemistry and Physic</em><em>s</em>, by Foreback et al. (2022).</p>
Fig. 1 in Yearly and seasonal changes in species composition of hornets (Hymenoptera: Vespidae) caught with bait traps on the Sea of Japan coast
Fig. 1. Yearly changes in the species composition of hornets in Sakata Park (A) and campus of Niigata University (B).
Figure 1. 2nd year section in the Educational Portal - Questions Regarding Alterity in Social Collaborative Networks
<p>Portlets proved to be the most intelligent way of presenting information on an educational<br> portal, due to the richness of the user interface tools. The portal may be found at http://cursfs.ub.ro<br> URL. In Figure 1 there is a screenshot of the 2nd year students section in educational portal, which is<br> very easy to use and helpful.</p>
Fig. 1 in ONCHOCERCA VOLVULUS transmission in the Mbam valley of Cameroon following 16 years of annual community-directed treatment with ivermectin, and the description of a new cytotype of SIMULIUM SQUAMOSUM
Fig. 1 Map of the study area showing adult and larval blackfly collection sites and dissection stations in relation to the Mbam river. Grey arrows show the direction of river flow and the inset map shows the location of the study area (black star) in Cameroon
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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.