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Escoural Rock Art Painting number 4
Discovered on an April afternoon in 1963, after an explosion of a quarry, the Escoural Cave proved to be an unavoidable site for the history of archeology in Portugal. What the cavel represents today transcends its tourist value, and assumes itself as an international reference for Paleolithic art as the westernmost point of Europe with such artistic representations of Prehistory. The cave art of the Escoural Cave fits in chronologically between 20,000 and 18,000 years a. C. In addition to the engravings, paintings depicting various figures from aurochs to equines as well as geometrical are also known. This is the 3D model of the rock art painting panel number 4, featuring an unidentifiable red smudge. Source: Objaverse 1.0 / Sketchfab
D1D-TRNS4 Truly Random Number Seeds with Verified Statistical Quality
<p>========================================================</p> <p> Dataset: D1D-TRNS4</p> <p> Truly Random Number Seeds with Verified<br /> Statistical Quality (Jul.2016)<br /> <br /> Release Notes</p> <p> Copyright (c) 2016 by Harris V. Georgiou</p> <p>========================================================<br /> Release: Jul 31, 2016</p> <p> - Version: 1.1a<br /> - Format: .wav/.bin<br /> ========================================================</p> <p><br /> This file contains important information about the current version of the dataset package. Downloading and using this material hints that you accept the EULA/Terms-of-Use (please read carefully).</p> <p>We welcome your comments and suggestions.</p> <p>_______________________________________________<br /> WHAT'S IN THIS PACKAGE?</p> <p>- Overview<br /> - Available file formats<br /> - Files and Datasets<br /> - License Agreement</p> <p>_______________________________________________<br /> OVERVIEW</p> <p>The generation of truly random number streams is a task of fundamental importance in cryptography and computer simulations. The term "truly" refers to the use of a natural phenomenon that is inherently random, e.g. the decay of a radio-active element. Instead, a more practical approach is to use pseudo-random number generators (PRNG) that closely resembles such random process (output), as long as they have a very long period and their initial seed is inherently random. Additionally, some cryptographically strong algorithms, such as hashing/digest or encryption functions can also be used, since they act by design as "entropy diffusers".</p> <p>This package contains four sets of data that combine (a) truly random sources as seed and (b) cryptography for additional randomness in the output. Specifically, low-quality (noisy) sound recordings of rainfall and RF static are used as input for multiple PGP/GPG encryption steps with random keys. The result is a set of random binary data of very high statistical quality (sizes 690KB-1.27MB), which can be used as-is for one-time pads or as seeds for high-quality PRNG implementations.</p> <p>The source data is low-quality noisy waveforms: two rainfall samples with (approximately) mean=1.3KHz and stdev=600Hz in both cases; and two RF static samples with (approximately) mean=1.6KHz and stdev=800Hz. These can also be used as-is, but for quality PRNG seeds these raw data have to be properly pre-processed (at least whitened).</p> <p>The final data are evaluated using the ENT command-line tool and the appropriate statistics in Excel/LibreOffice format. In essence, ENT compares the bit-level statistics of the binary (PGP/GPG) files to the theoretically optimal values if the data are perfectly random.</p> <p>_______________________________________________<br /> AVAILABLE FILE FORMATS</p> <p>The datasets are available in the following formats (included):</p> <p>*.wav : source sound files (4bit/mono/8kHz/32kbps)<br /> *.bin : binary files ready for use (PGP/GPG output)</p> <p> </p>
FIGURE 1 in Crozetia Davies (Diptera: Simuliidae): redescription of Cr. crozetensis, Cr. seguyi, number of larval instars, phylogenetic relationships and historical biogeography
FIGURE 1. Geographic position of the Crozet Archipelago. (Adapted from Carroll 2001)
Figure 2. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 2. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 4. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI and 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 4. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI and 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 3. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 3. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 2. - Number of species recorded in Jean Gutierrez collection dataset (solid bar) and in the literature (dashed bar) compiled in Spider Mites Web (http://www1.montpellier.inra.fr/CBGP/spmweb/) for the areas of particular interest. Colour scheme same as in Figure 1.
Figure 2. - Number of species recorded in Jean Gutierrez collection dataset (solid bar) and in the literature (dashed bar) compiled in Spider Mites Web (http://www1.montpellier.inra.fr/CBGP/spmweb/) for the areas of particular interest. Colour scheme same as in Figure 1.
Figure 10. - Maximum-likelihood phylogeny of Epicephala species based on sequences of the COI, ArgK and EF1α genes. Numbers above nodes are maximum-likelihood bootstrap support values based on 1,000 replications. The Japanese Epicephala species are marked in blue. Symbols right to species names donate ovipositor morphology: inverted U-shape, rounded apically; inverted V-shape, acute apically.
Figure 10. - Maximum-likelihood phylogeny of Epicephala species based on sequences of the COI, ArgK and EF1α genes. Numbers above nodes are maximum-likelihood bootstrap support values based on 1,000 replications. The Japanese Epicephala species are marked in blue. Symbols right to species names donate ovipositor morphology: inverted U-shape, rounded apically; inverted V-shape, acute apically.
Supplementary material 1: Number of Pteridaceae species by gender in Togo from: The Pteridaceae family diversity in Togo - Biodiversity Data Journal 3: e5078 (15 July 2015) https://doi.org/10.3897/BDJ.3.e5078
Number of Pteridaceae species by gender in Togo
Research Data Management: The Numbers
<p>Infographic illustrating the numbers associated with research data management. In particular the associated costs, the value and the volume of data</p>
Edge Detour Graphs with Edge Detour Number 2
<p>By a graph G = (V,E), we mean a finite undirected graph without loops or multiple edges. The order and size of G are denoted by p and q respectively. For basic definitions and terminologies, we refer to [1], [6].</p>
UCSC Xena Data Browser Copy Number Data - Genes (Thresholded)
<p>Downloaded by Gregory Way from the UCSC Xena data browser on 14 July 2017</p> <p>https://xenabrowser.net/datapages/?dataset=TCGA.PANCAN.sampleMap/Gistic2_CopyNumber_Gistic2_all_thresholded.by_genes&host=https://tcga.xenahubs.net</p>
Kappa matrices presented in "An EFT approach to baryon number violation: lower limits on the new physics scale and correlations between nucleon decay modes" arXiv:2312.13361
<p>In this archive we provide the kappa matrices introduced in Sec 2.4 of our paper <em>An EFT approach to baryon number violation: lower limits on the new physics scale and correlations between nucleon decay modes</em> <a href="https://arxiv.org/abs/2312.13361">2312.13361</a>, also <a href="https://link.springer.com/article/10.1007/JHEP07(2024)004">published in JHEP</a>. These are the numerical values that are presented as matrix plots in Appendix C. Here they are packaged into CSV files, whose first row is the row/column label.</p> <p>Please consult the README for further information on how to use these data.</p> <p><em>Version 3: Fixed error common to d=7 matrices.</em></p>
Final Version of the Data associated to the publication "A Benchmark for Finite Prandtl Number Convection: Comparison of Boltzmann and Navier-Stokes Solutions"
<p>Final Version of V_rms and Nu for the three codes, GAIA, StreamV, TLBM, used for a benchmark manuscript titled "A Benchmark for Finite Prandtl Number Convection: Comparison of Boltzmann and Navier-Stokes Solutions", Authors: Gabriele Morra, Peter Mora, Christian Huttig, Nicola Tosi, Henri Samuel, David A. Yuen</p> <p>The Zip file contains both npy and out versions of V_rms and Nu. In the out files, time is embedded in each file. In the "npy" version, time is a separate npy file. In this final version, pdf figures for each case are also embedded.</p>
Supplementary Table 1 - GISAID Accession Numbers of Samples analysed in the first and second waves of SARS-CoV-2 cases in Irish hospitals
<p>The Supplementary Table 1 contains the GISAID accession numbers of samples sequenced in the context of the AIID biobank in the Republic of Ireland during the first and second wave of SARS-CoV-2 cases in hospitals of Dublin.</p>
The number of precipitation days of three adjacent stations (Tingri, Lazi, Nyalam) of the Mount Qomolangma in July since 1961
<p><strong>The number of precipitation days of three adjacent stations (Tingri, Lazi, Nyalam) of the Mount Qomolangma in July since 1961, light rain level, moderate rain level, heavy rain level and above.</strong></p>
Beaumont numbers and associated values of several mountain belts on Earth
<p>This file contains the data shown in table 1 in the Article: Tectonics or Surface Processes during orogenesis - the Beaumont number: II. Application to orogens on Earth.</p><p>Variable definitions:<br>NAndes are the Northern Andes, CAndes are the central Andes, EurAlps are the European Alps, Him is Himalaya-Tibet, Pyr are the Pyrenees, SANZ are the Southern Alps of New Zealand, TW is Taiwan, TS is the Tian Shan, Zag is the Zagros. <br>Bm is the Beaumont number (mean value), Kf is the fluvial erodibility (mean value), vc is the convergence or shortening rate (mean value), Fint is the integrated crustal strength of the orogen foreland (mean value), and AvgPrecip is the mean annual precipitation (mean value). BmVar, KfVar, vcVar, and FintVar are the variability of the respective mean values. AvgPrecipSTD is the standard deviation of AvgPrecip.</p>
ChromoPhyloGen: characterizing copy number alteration patterns in heterogeneous tumor cell populations at Single-Cell Resolution
<p>The human liver cancer cell line Huh7 was obtained from the American Type Culture Collection (ATCC). Huh7 cells were cultivated in Dulbecco's Modified Eagle Medium (DMEM, Gibco, C11995), supplemented with 1% penicillin/streptomycin (Gibco, 15140122), and 10% fetal bovine serum (FBS, Excell, FSP500). Huh7 cell line was maintained under a 95% O2 and 5% CO2 humidified atmosphere in an incubator at 37˚C. </p> <p>The scDNA-seq library was performed using the Chromium Single cell DNA Library & Gel Bead kit (10x Genomics, PN1000040) in combination with the Chromium instrument. The samples were processed on Chromium Single cell Chip C and D (10x Genomics, 1000022 and 1000042, respectively) according to the manufacturer's user guide and subsequently run on a thermocycler. The barcoded libraries were sequenced using the Novaseq 6000 300 cycle high-output flow cells.</p> <p>The scRNA-seq library was generated using the 10x Genomics Chromium Single Cell 3' & Gel Bead Kit v3 (10x Genomics, PN100075) in combination with the Chromium instrument. The samples were processed on Chromium Single cell Chip B (10x Genomics,1000154) according to the manufacturer's protocol and subsequently run on a thermocycler. The 3' gene expression libraries were sequenced using the Novaseq 6000 300 cycle high-output flow cells.</p> <p> </p>
Convergent evolution and predictability of gene copy numbers associated with diets in mammals
<p>Convergent evolution, the evolution of the same or similar phenotypes in phylogenetically independent lineages, is a widespread phenomenon in nature. If the genetic basis for convergent evolution is predictable to some extent, it may be possible to infer organismic phenotypes and adaptability based on genome sequence data. While repeated amino acid changes have been studied in association with convergent evolution, relatively little is known about the potential contribution of repeated gene copy number changes. In this study, we explore whether certain gene copy number changes are linked to diet shifts in mammals and assess if trophic ecology can be inferred from the copy numbers of a specific set of genes. Using 86 mammalian genome sequences, we identified several genes with higher copy numbers in herbivores, carnivores, and omnivores, even after phylogenetic corrections. We were able to confirm previous findings on genes such as amylase, olfactory receptor, and xenobiotic metabolism genes, and identify novel genes whose copy numbers correlate with dietary patterns. For example, omnivores exhibited higher copy numbers of genes encoding gene expression regulators. We also established a discriminant function based on the copy numbers of 13 genes that can help predict trophic ecology based on genome sequence data. These findings highlight a possible association between convergent evolution and repeated copy number changes in specific genes, suggesting the potential to develop a method for predicting animal ecology and adaptability from genome sequence data.</p>
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.