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Figure 1 in The introduction of Physa acuta (Gastropoda: Physidae) on Ilha Grande, Southeast Brazil, from initial stages to an established population
Figure 1. Map of the Vila do Abraão (Ilha Grande, Angra dos Reis, Rio de Janeiro), highlighting the studied stream (blue line) and the eight collecting stations (CS; red dots).
Figure 2 in A workshop to advance invasive species early detection capacity of The Rapid Environmental DNA Assessment and Deployment Initiative & Network (READI-Net)
Figure 2. The Rapid Environmental (e)DNA Assessment and Deployment Initiative & Network (READI-Net) project components being developed to support molecular detection of invasive species. Molecular tools, like eDNA sampling, are sensitive and costeffective for early detection of invasive species and are one component of the National Early Detection Rapid Response framework.
Figure 1 in A workshop to advance invasive species early detection capacity of The Rapid Environmental DNA Assessment and Deployment Initiative & Network (READI-Net)
Figure 1. The National Early Detection Rapid Response framework developed by the U.S. Department of the Interior Invasive Species Task Force. Open circles represent the components to be enacted for effective early detection and rapid response of invasive species. The associated commentary reflects the primary questions, observations, and directives that the process from one component to the next. At the core of the process, are the informational inputs necessary for management decision-making.
Swordtail fish hybrids reveal that genome evolution is surprisingly predictable after initial hybridization
<p>Over the past two decades, biologists have come to appreciate that hybridization, or genetic exchange between distinct lineages, is remarkably common – not just in particular lineages but in taxonomic groups across the tree of life. As a result, the genomes of many modern species harbor regions inherited from related species. This observation has raised fundamental questions about the degree to which the genomic outcomes of hybridization are repeatable and the degree to which natural selection drives such repeatability. However, a lack of appropriate systems to answer these questions has limited empirical progress in this area. Here, we leverage independently formed hybrid populations between the swordtail fish <em>Xiphophorus birchmanni </em>and <em>X. cortezi </em>to address this fundamental question. We find that local ancestry in one hybrid population is remarkably predictive of local ancestry in another, demographically independent hybrid population. Applying newly developed methods, we can attribute much of this repeatability to strong selection in the earliest generations after initial hybridization. We complement these analyses with time-series data that demonstrates that ancestry at regions under selection has remained stable over the past ~40 generations of evolution. Finally, we compare our results to the well-studied <em>X. birchmanni×X. malinche </em>hybrid populations and conclude that deeper evolutionary divergence has resulted in stronger selection and higher repeatability in patterns of local ancestry in hybrids between <em>X. birchmanni </em>and <em>X. cortezi</em>.</p>
Fig. 5 in Potential herbicidal effect of synthetic chalcones on the initial growth of sesame, Sesamum indicum L., and brachiaria, Urochloa decumbens (Stapf) R. D. Webster
Fig. 5. Percentage of growth inhibition/stimulus of shoot parts of brachiaria seedlings [Urochloa decumbens (Stapf) R.D. Webster] grown for five days in water solutions containing the chalcones, or analogues, or Glyphosate®, in comparison to the positive control (distilled water). The chalcones are identified in the figure 2. *Indicates a significant difference in relation to the control, p<0.05.
Fig. 4 in Potential herbicidal effect of synthetic chalcones on the initial growth of sesame, Sesamum indicum L., and brachiaria, Urochloa decumbens (Stapf) R. D. Webster
Fig. 4. Percentage of growth inhibition/stimulus of root parts of sesame seedlings (Sesamum indicum L.) grown for five days in water solutions containing the chalcones, or analogues, or Glyphosate®, in comparison to the positive control (distilled water). The chalcones are identified in figure 2. *Indicates a significant difference in relation to the control, p<0.05.
Fig. 1 in Effect of water temperature and prey concentrations on initial development of Lophiosilurus alexandri Steindachner, 1876 (Siluriformes: Pseudopimelodidae), a freshwater fish
Fig. 1. Total length of Lophiosilurus alexandri after 15 days of exogenous feeding. The graph "A" and "B" showed the best temperature for the prey concentration P 700 and P 1,300, respectively.
Fig. 2 in Effect of water temperature and prey concentrations on initial development of Lophiosilurus alexandri Steindachner, 1876 (Siluriformes: Pseudopimelodidae), a freshwater fish
Fig. 2. Mean body weight of Lophiosilurus alexandri after 15 days of exogenous feeding. Different letters represent significant differences (P<0.05) among temperatures (a, b, c and d) and prey concentrations (x and y).
Fig. 3. Representative samples from initial experiment interrupted and lef untended for 17 d in Greenhouse evaluation of neonate and adult applications of Coleomegilla maculata (Coleoptera: Coccinellidae) to control twospotted spider mite infestations
Fig. 3. Representative samples from initial experiment interrupted and lef untended for 17 d. Plants treated with lady beetles recovered from extreme stress; infested and untreated plants could not grow new leaves (no recovery).
Figures: 'Preliminary Sizing of High-Altitude Airships Featuring Atmospheric Ionic Thrusters: An Initial Feasibility Assessment'
<p><strong>Figures from the publication <em>Preliminary Sizing of High-Altitude Airships Featuring </em><em>Atmospheric Ionic Thrusters: An Initial Feasibility Assessment</em></strong></p> <p>*.fig files can be opened in <code>Matlab</code></p>
Fig. 1 in Selitrichodes neseri (Hymenoptera: Eulophidae) recovered from Leptocybe invasa (Hymenoptera: Eulophidae) galls afer initial release on Eucalyptus (Myrtaceae) in Brazil, and data on its biology
Fig. 1. Municipality of Rio Real, Bahia State, where Selitrichodes neseri (Hymenoptera: Eulophidae) adults were released for the first time in Brazil.
The Fundamentals Regarding the Usage of the Concept of Interface for the Modeling of the Software Artefacts-Figure 4. The artefact during the initial structuring stage
<p>The IT developer elaborates the detailed structure of the artefact, while considering several aspects:</p> <p>— The resources that are necessary to the artefact in order to accomplish its mission;</p> <p>— The artefact’s resistance to the changes regarding the functional requirements;</p> <p>— The artefact’s resistance to the technological changes;</p> <p>— The reasonably priced integration of the artefact in the structure of the host system;</p> <p>— The assurance of a reasonable reusability coefficient of the artefact during the struc- turing process of other artefacts;</p> <p>— The flexibility of the relations that exist among the components of the artefact;</p> <p>— The flexibility of the artefact’s connections with the host system.</p> <p> </p>
BRAIN Journal-An Efficient Combined Meta-Heuristic Algorithm for Solving the Traveling Salesman Problem-Figure 1. The Initial Empires
<p>The ICA is a novel global search strategy which uses imperialism and imperialistic competition process as a source of inspiration. This algorithm is based on the fact that in a real world, countries try to extend their power over other countries in order to use their resources and bolster their own government. The first step in ICA is to generate an initial population like other evolutionary algorithms. The population set includes a number of feasible solutions called a ‘country’, which corresponds to the term ‘chromosome’ in the GA method. These countries are of two types: colonies and imperialists that altogether form some empires. As it is shown in Figure 1 (Atashpaz Gargari & Lucas, 2007), bigger and stronger empires have more colonies than smaller and weaker ones.</p>
A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count-Figure 11. Initial population
<p>In figure 11 it is the initial population showed and figure 12 the population started to change and figure 13 we reached a convergence.</p>
e-ROSA initiatives' data set
<p>This dataset holds the metadata for the initiatives uploaded/mapped on http://map.aginfra.eu/</p> <p> </p>
Aggregated frequencies of transcription initiations observed in FANTOM5 CAGE data on GRCh38, including alignments with low mapping qualities
<p><strong>Overview</strong></p> <p>Aligned reads of the FANTOM5 CAGE data have been used after filtering (ones with mapping quality less than 20 or percent identity less than 85% were discarded) for general purpose, resulting in the data set consisting of only the reads aligned with confidence. The filtering process made possible to interpret the data without ambiguity, however it also limited interpretation of paralogous or duplicated regions within the genome. Here all of the 5'-ends of the CAGE read alignments, including the ones with low mapping quality, were counted. The counts in the individual profiles were aggregated and summed up. </p> <p> </p> <p><strong>Special usage note</strong></p> <p>As noted above, this data derived from the alignments with low mapping qualities, as well as the ones with high mapping qualities. The result has to be examined very carefully: observations on the genome does not support transcription initiation with confidence, and even absence of such observation does not support silence of transcription with confidence. For example, file size on the forward strand is substantially larger than the one on the reverse strand, which is likely caused by an arbitrary preference of the alignment process. It does not mean transcription happens more frequently on the forward strand. Interpretation has to be made always in comparison with the standard data (BED files under http://fantom.gsc.riken.jp/5/datafiles/reprocessed/hg38_v4/basic/ or bigWig files under http://fantom.gsc.riken.jp/5/datahub/hg38/reads/).</p> <p> </p> <p><strong>Data files</strong></p> <p>The resulting data files are formatted as bigWig (https://genome.ucsc.edu/FAQ/FAQformat.html#format6.1). '*.fwd.bw' and '*.rev.bw' represent forward and reverse strand on the genome, respectively. </p> <p> </p> <p><strong>Methods</strong></p> <p>The BAM files under http://fantom.gsc.riken.jp/5/datafiles/reprocessed/hg38_v4/basic/ were subjected to 5'-end counting by bedtools v2.27.1 (https://github.com/arq5x/bedtools2), followed by conversion into bigWig with jksrc v357 (http://hgdownload.cse.ucsc.edu/admin/).</p> <p> </p>
Initial dataset used in SIMON, an automated machine learning approach
<p>The 7-Zip file contains raw data in the CSV file downloaded from Stanford Data Miner and used for further analysis using mulset algorithm and SIMON, as described in the publication:</p> <p>Tomic A, Tomic I, Rosenberg-Hasson Y, Dekker CL, Maecker HT, and Davis MM. SIMON, an automated machine learning system reveals immune signatures of influenza vaccine responses. <em>JImmunol</em>, doi: 10.4049/jimmunol.1900033, 2019.</p> <p>File was compressed using 7-Zip available at https://www.7-zip.org/.</p>
PROSEU survey questionnaire. New energy for Europe: Renewable Energy Prosumers Initiatives
<p>As part of work package nº2 of the H2020 PROSEU project, which aimed to establish a baseline review and characterisation of renewable energy sources (RES) prosumer (self-consumption) initiatives across Europe, data were collected for nine EU member states (Belgium, Croatia, France, Germany, Italy, Portugal, Spain, the Netherlands, and the United Kingdom) using a self-administered online survey launched in these countries in eight languages, from October 2018 to January 2019. The results of the survey are presented in deliverable D2.1. The present document contains the English version of the questionnaire used in the survey.</p>
ScintPi: A low-cost, easy-to-build GPS ionospheric scintillation monitor for DASI studies of space weather, education, and citizen science initiatives
<p>These data sets contain ionospheric scintillation (GPS L1) observations (S4 indices) collected by a ScintPi prototype during 2018 at a low magnetic latitude station (Presidente Prudente). ScintPi is a low-cost, easy-to-build GPS ionospheric scintillation monitor for DASI studies of space weather, education, and citizen science initiatives.</p> <p>The file named "ScintPi_PPR_S4_2018.mat" contains S4 values (s4mat) for 2018 as a function of universal time (utmat), day-of-year (doymat), GPS satellite identifier number (prnmat), GPS satellite elevation (elmat) and azimuth (azmat) angles.</p> <p>The file named "ScintPi_PPR_20180211.mat" contains example raw (10 Hz) measurements made by ScintPi on February 11, 2018. The file contains values of receiver's altitude, latitude and longitude (variables alt,lat, and lon), GPS satellite azimuth and elevation (variables el and az), GPS identifier number (prn), signal-to-noise ratio (snr), and day-of-year (doy).</p>
Figure 2 in Soil BON Earthworm - A global initiative on earthworm distribution, traits, and spatiotemporal diversity patterns
Figure 2. Information on studies that will be resampled globally by the Soil BON Earthworm consortium. (A) Global distribution of studies, with the distribution of sites along longitude and latitude, (B) distribution of ecosystem types among studies, (C) localization of sites among terrestrial biomes defined by Mean Annual Temperature (MAT, °C) and Mean Annual Precipitation (MAP, mm), with the distribution of MAT and MAP values, (D) distribution of time span with blue and green colors representing the variable distribution before and after resampling, respectively, (E) Temporal coverage of individual studies.
ScienceDex guides
Understand access before you commit
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.