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Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable
Fig. 4 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 4 Area projected as suitable or unsutable under current and future (2081–2100) climatic conditions (km2) for the three tick species in comparison. a Ixodes ricinus. b Dermacentor reticulatus. c D. marginatus. The corresponding maps are shown in Figs. 1–3 in the main document. Future suitable conditions refers to the area (km2) projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). Continuing suitable conditions refers to area (km2) projected as suitable under
Fig. 1 Projected future changes for Ixodes ricinus until 2081–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 1 Projected future changes for Ixodes ricinus until 2081–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable range). In red:
Fig. 5 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 5 Potential co-occurrence under current and future climatic conditions. a Under near current climatic conditions (1970–2000). b Under projected future climatic conditions (exemplarily for SSP 245) for the period 2041–2060. c Under projected future climatic conditions (SSP 245) for the period 2081–2100. Colors indicate areas where climatic suitability is projected for the respective species; for non-mentioned species ("none of them"), the area is climatically unsuitable according to the modelling results. The thresholds to transform the logistic model output (10% omission rate threshold) are as follows: 0.3368 for Ixodes ricinus, 0.3816 for Dermacentor reticulatus, and 0.4298 for D. marginatus. Maps were built using ESRI Arc-GIS (Release 10.7, www.esri.com). Projection: Europe Albers Equal Area Conic. (A hatch-based version of this figure is additionally provided in the Supplementary Material: Figure S11.)
Fig. 3 Projected future changes for Dermacentor marginatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 3 Projected future changes for Dermacentor marginatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable range). In red: area projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). AUC = 0.8229 (average over 10 replicates using cross-validation, standard deviation = 0.001121953). Threshold to transform the logistic model output: 0.4298 (10% omission rate threshold). Maps were built using ESRI ArcGIS (Release 10.7, www.esri.com). Projection: Europe Albers Equal Area Conic
Fig. 1. Urinary parasites, light microscopy. A in Urinary capillariosis in a free-ranging Marsican brown bear (Ursus arctos marsicanus)
Fig. 1. Urinary parasites, light microscopy. A) Mature capillariid egg, 40X, B) Adult female, vulvar appendix, 40X, C) Adult female, anterior extremity, 40X, D) Adult female, posterior extremity, 40X.
FIGURE 4 in Heterobranch Sea Slug Range Shifts in the Northeast Pacific Ocean associated with the 2015-16 El Niño
FIGURE 4. Abundance of the Bulla gouldiana and Aplysia vaccaria in the low rocky intertidal at Naples, Santa Barbara, California 2006–2017.
Fig. 3 in New records, range extension and call description for the stream-breeding frog Hyloscirtus lascinius (Rivero, 1970) in Venezuela
Fig. 3. Habitat of Hyloscirtus lascinius at Campamento Guacharaca, Sierra de Perijá, Zulia state (A). Males calling from a branch; (B) and from a rocky wall; (C) at the edge of the creek in Campamento Guacharaca. Photos: F.J.M. RojasRunjaic.
Fig. 2 in New records, range extension and call description for the stream-breeding frog Hyloscirtus lascinius (Rivero, 1970) in Venezuela
Fig. 2. Distribution of Hyloscirtus lascinius in Venezuela and Colombia. 1: Campamento Guacharaca, Sierra de Perijá, Zulia state, Venezuela. 2: San Luis, Mérida state, Venezuela. 3: Road Santa Cruz de Mora-La Macana, Mérida state, Venezuela. 4: Quebrada Ovalles, Mérida state, Venezuela. 5: Quebrada De La Rana, Mérida state, Venezuela. Yellow triangle: Tabor, Tamá massif, Táchira state, Venezuela (type locality); White pentagon: Chinácota, Norte de Santander department, Colombia (Sánchez 2010); The record of headwaters of Río Táchira, Norte de Santander, Colombia (Ruiz-Carranza et al. 1996) and additional localities between Delicias and Tabor (Rivero 1970) are included in the yellow triangle that indicates the type locality.
Fig. 1 in New records, range extension and call description for the stream-breeding frog Hyloscirtus lascinius (Rivero, 1970) in Venezuela
Fig. 1. Hyloscirtus lascinius from Venezuela. (A) Campamento Guacharaca, Sierra de Perijá, Zulia state; (B) Near La Macana, Mérida state; (C) Quebrada La Rana, Mérida state. Photos: F.J.M. Rojas-Runjaic (A) and C.L. Barrio-Amorós (B and C).
Fig. 1 in Global systematic diversity, range distributions, conservation and taxonomic assessments of graylings (Teleostei: Salmonidae; Thymallus spp.)
Fig. 1 Map showing the global distribution range of Thymallus species. Information on sampling sites and species is given in Table S1. Numbers in the map refer to known contact zones of the following species: 1 = T. arcticus s.l. and T. baicalensis in the lower Enisei River; 2 = T. arcticus s.l. and T. baicalolenensis in the lower Lena River; 3 = T. nikolskyi and T. baicalensis in tributaries of the upper Ob River; 4 = T. baicalolenensis and T. baicalensis in tributaries of Lake Baikal; 5 = T. grubii, T. tugarinae
Fig. 2. Oreodytes mongolicus Brinck, 1943 in Endemic and sub-endemic water beetles of Mongolia and their distribution ranges
Fig. 2. Oreodytes mongolicus Brinck, 1943. Photos by Enkhnasan. a. Dorsal habitus, male, b. Head and pronotum, c. Adeagus, laterial view.
Fig. 9 in Endemic and sub-endemic water beetles of Mongolia and their distribution ranges
Fig. 9. Endemic and sub-endemic species richness in the nine subbasins of Mongolia included in this study. SRB-Selenge River Basin; ShRB-Shishkhed River Basin; GRB-Gobi River Basin.
Fig. 4. Ochthebius mongolicus Janssens, 1967 in Endemic and sub-endemic water beetles of Mongolia and their distribution ranges
Fig. 4. Ochthebius mongolicus Janssens, 1967. Photos by Tamás Németh and Aranka Grabant. a. Dorsal habitus, male, b. Head and pronotum, c. Aedeagus, dorsal view, d. Labels for lectotype.
Figure 10.a. Simulation's display: The characters "\__/" represents the front part of the car that should pass through the string "....==..=.==..==" representing the range of obstacles-Designing a Growing Functional Modules "Artificial Brain"
<p>Once performed the design and configuration, the controller and the local application are<br> executed by pressing the corresponding button. In case of a local simulation, two terminal windows<br> are generated. The first one, localized on the left side of the screen (figure 10.a), displays the<br> behavior of the simulation; the second one, localized on the right side of the screen (figure 10.b),<br> displays the behavior of the controller. Both application run concurrently and their respective<br> contents allow the user to observe and monitor the control session. The last text line of figure 10.b<br> displays the set of commands at cycle 201.</p>
Figure3. APCs A1-A4 connected within range of cohesion-factor-threshold form members of one ARB-AIDEN: A Density Conscious Artificial Immune System for Automatic Discovery of Arbitrary Shape Clusters in Spatial Patterns
<p>Figure3 depicts this process. The<br> model with the above specification then effectively detects self or non-self pathogens. In terms of<br> its application to the task of clustering, this interpretation means making the affinities high within<br> clusters and low across clusters. A pathogen corresponding to an outlier would not stimulate a TCR<br> sufficiently and may not form part of any ARB.</p>
Ultrafast optical ranging using microresonator soliton frequency combs: Data deposit
<p>This content of this data deposit is the following:</p> <ul> <li>Archive ‘Microresonator design file’: A GDS-File with the design of the microresonators</li> <li>Archive ‘Figure_data’: Data shown in all figures with MATLAB scripts for exemplary plot generation.</li> <li>Archives ‘Figure2D’, ‘Figure2E’, ‘Figure3B’ and ‘Figure3D’: Raw data and executable files related to figures 2D, 2E, 3B and 3D of the publication</li> </ul> <p><strong>Further information on the archive ‘Microresonator design file’:</strong></p> <p>A free GDS viewer can be downloaded from: https://www.klayout.de.</p> <p>The designed Si<sub>3</sub>N<sub>4</sub> height was 800 nm.</p> <p><strong>Further information on the archives ‘Figure2D’, ‘Figure2E’, ‘Figure3B’ and ‘Figure3D’:</strong></p> <p>Each archive contains two folders, corresponding to two evaluation steps executed to evaluate raw measurement data. In the first step, raw data is processed into distance information. For this purpose, the folder ‘Distance_evaluation’ in each archive contains the raw data recorded in the experiments, as well as an executable file in order to process the raw data into distance data files.</p> <p>In the second step, distance data files are further processed according to the respective measurement, e.g. the computation of the Allan deviation in Fig. 2D. For this purpose, further executable files are available in the other folder in each archive. The required distance files are already copied into these folders, but can also be computed again and copy-pasted into the respective folder. The final output will be txt-files with data such as the data shown in the figures.</p> <p><strong>Instructions on running the executable files:</strong></p> <p>All executable files require Matlab Runtime version R2017a, see in each folder the readme.txt-file for further instructions. In order to process the raw data, do not rename the files and do not change the folder, within which the raw data is located. Otherwise, the executable file may not work. Likewise, do not rename any distance-files that are used for further evaluation as well as the other input files that are required for further evaluations:</p> <ul> <li>Figure3B\Profile_Comparison: ‘xCMM.txt’, ‘yCMM.txt’</li> <li>Figure3D\OCT_Comparison: ‘OCTX.txt’, ‘OCTY.txt’</li> </ul> <p>Note, that some of the executable files make use of parallel computing. Depending on the CPU available and the amount of data to be processed, the evaluation duration can vary between a few minutes and several hours.</p> <p><strong>Information on the raw data files: </strong></p> <p>The raw data of all distance measurements are .h5 files recorded using a high-speed oscilloscope with a sample rate of 80 GSa/s. For each measurement, two recordings are stored, one for the actual distance measurement, and one for the reference measurement (indicated by either ‘MES’ or ‘REF’ at the end of the file name). An h5-viewer (see e.g. https://www.hdfgroup.org/downloads/hdfview/) is recommended in order to look directly into the raw data.</p> <p><strong>Information on the distance data files</strong>:</p> <p>The output of each distance evaluation is another h5-file, containing an <em>n</em> × 6 matrix, with <em>n</em> being the number of distance values.</p> <ul> <li>The first column represents the actual distance value,</li> <li>The second column the time,</li> <li>The third column the quantity <em>ε<sub>N</sub></em> as defined in Eq. (S13) in the Supplementary Materials,</li> <li>The fourth and the fifth column the intensity of the signal received from the oscilloscope for the signal and the reference channel (scales are not the same),</li> <li>And the last column the recorded free spectral range of the measurement comb.</li> </ul> <p>Again, the files are directly accessible by using an h5-viewer.</p>
ESR-thermochronometry of the Hida range of the Japanese Alps: Validation and future potential
<p><strong>Supplementary data for the above titled paper published in <em>Geochronology</em>. </strong></p> <p><strong>Contents:</strong></p> <p>Raw OSL data, Raw ESR data, DRAC dose rate input spreadsheet.</p> <p><strong>OSL-thermochronometry Raw Data.</strong></p> <p>KRG16-05</p> <p>KRG16-06</p> <p>KRG16-101</p> <p>KRG16-104</p> <p>KRG16-111</p> <p>KRG16-112<br> </p> <p><strong>ESR-thermochronometry Raw Data.</strong></p> <p>KRG16-05 Al & Ti-centres</p> <p>KRG16-06 Al & Ti-centres</p> <p>KRG16-101 Al & Ti-centres</p> <p>KRG16-104 Al & Ti-centres (4.3 kGy isothermal holding experiment)</p> <p>KRG16-104 Al & Ti-centres (2.15 kGy isothermal holding experiment)</p> <p>KRG16-111 Al & Ti-centres</p> <p>KRG16-112 Al & Ti-centres</p> <p><strong>Dosimetry data.</strong></p>
Fig. 1 in The Study Of Age-Related Variability Of Pigmentation Patterns Of The Shells Of Dreissena Polymorpha (Bivalvia, Dreissenidae) From Different Parts Of It'S Range
Fig. 1. Change of pattern types on zebra mussel shell. The present shell has four age zones (0+, 1+, 2+, 3+). The pattern sequence is С–АС–А–А.
Figure 6. Response curve showing how each environmental variable affected the Maxent prediction. Variables A, B in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 6. Response curve showing how each environmental variable affected the Maxent prediction. Variables A, B, and C were the ones that most affected the potential distribution of S. giannae, and D, E, and F most affected the potential distribution of S. lilium. The curves show the average response of the 10 replicate Maxent runs (red) and the standard deviation (blue).
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.