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Supplementary material 2 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 5: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae and Bactrocera dorsalis populations. The highest Betweenness-centrality is highlighted in blue.
Supplementary material 1 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the five successive thresholds used to illustrate Figure 4: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae populations. The Highest Betweenness-centrality is highlighted in blue.
Supplementary material 2 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure S2: Explanation note: Maximum likelihood tree, based the EF-1α gene dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.
Supplementary material 1 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure S1: Explanation note: Maximum likelihood tree, based the COI gene dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.
Supplementary material 4 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Comparisons among three different the individual admixture plots: Explanation note: Comparisons among the individual admixture plots of 289 individuals, for K = 3, considering correlated allele frequency, uncorrelated allele frequency, and missing data as recessive homozygotes for the null alleles, respectively.
Supplementary material 3 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure S3: Explanation note: Maximum likelihood tree, based the period gene dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.
Supplementary material 3 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 6: Explanation note: Component data are used to illustrate the structure of the subset of the Salaya5 strain and wild populations. The highest Betweenness-centrality is highlighted in blue.
Supporting data for "KOCL: Power Self-awareness for Arbitrary FPGA-SoC-accelerated OpenCL Applications"
<p>Supporting data for "KOCL: Power Self-awareness for Arbitrary FPGA-SoC-accelerated OpenCL Applications"</p>
Enhancing Facial Emotion Recognition: A Comparative Analysis of Sobel and Laplacian Filters for Computer Vision Applications
<p><span>This project explores the efficacy of integrating Sobel and Laplacian filters to enhance the performance of Convolutional Neural Network (CNN) models for facial emotion recognition. The project was part of our final Mtech in Data Science thesis at the Institute of Defence Institute of Advanced Technology, Pune. The FER2013 dataset was utilized for the research.</span></p>
Supplementary data to research paper "Linking local climate scenarios to global warming levels: Applicability, prospects and uncertainties"
<p>This file contains supplementary data for the research paper "<span>Linking local climate scenarios to global warming levels: Applicability, prospects and uncertainties"", submitted to IOP Publishing Environmental Research: Climate. The DOI and link to the paper will be added once it is published.</span></p> <p><span>Each file lists the annual mean temperature anomalies relative to the period 1991-2020 for a model of the Austrian climate scenarios OEKS15 (Leuprecht, 2018). The full dataset is available here: https://data.hub.geosphere.at/dataset/oks15_bias_corrected<br></span></p> <p> </p> <div> <div>Leuprecht, A. (2018). <em>ÖKS15 Bias Corrected EURO-CORDEX Model Precipitaion, Radiation, Temperature</em> [dataset]. <a href="https://doi.org/10.60669/B37Q-JD39">https://doi.org/10.60669/B37Q-JD39</a></div> </div>
Android applications obfuscation analysis
<p>Dataset for the research "Android Software Protection in the Wild: A Survey"</p>
Genome Skimming of Thysanoptera (Arthropoda, Insecta) and Its Taxonomic and Systematic Applications
<p>High-throughput sequencing has transformed molecular systematics. This study presents a semi-automated pipeline for genome skimming in Thysanoptera, an insect order known for challenging species identification and cryptic relationships. By efficiently obtaining mitochondrial genomes and nuclear genes from multiple thrips specimens, the study evaluates the limitations of traditional barcoding and the data required for accurate species delimitation. The results highlight the importance of the sequencing data volume and this pipeline in reconstructing Thysanoptera phylogeny. This research also showcases the potential of advanced sequencing techniques for species delimitation and phylogenetics.</p>
Snakemake report for manuscript "Orthanq: transparent and uncertainty-aware haplotype quantification with application in HLA-typing"
<p>For viewing the report, unzip the file and open index.html in your browser.</p>
Mechanical and thermal thresholds before and after application of a conditioning stimulus in healthy Göttingen Minipigs
<p>Mechanical and thermal thresholds, Von Frey thresholds, physiological parameters and feasibility scores of healthy adult minipigs before and after the application of a conditioning stimulus.</p>
Synthetic dataset and prediction files for the paper "Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction", by Costantino et al. (2024)
<p>Synthetic database used for training and evaluation of SSEdenoiser</p>
Obtaining Continental-Scale, High-Resolution 2-d Ionospheric Flows and Application to Meso-Scale Flow Science
<p>The SuperDARN 2-d velocity vectors using the spherical elementary current systems (SECS) technique. The file names show UT. Each file contains magnetic latitude and longitude, geographic latitude and longitude, northward and eastward velocity in magnetic, northward and eastward velocity in geographic, and the number of echoes in each grid. AACGM is used as the magnetic coordinates.</p>
SAT Competition 2016 Application Track Benchmarks
<p>These are the 299 CNF files in DIMACS format from the application track of the SAT competition 2016.</p> <p>Originally the competition advocated 300 benchmarks but <code>sncf_model_ixl_bmc_depth_14.cnf</code> was truncated (terminating zero and many clauses were missing). Thus only 299 valid DIMACS benchmarks were actually made available. This broken benchmark is from a family of SNCF BMC encodins for the bounds 7 to 15. In 2016 no solver solved any of these bounds nor were the bounds 9, 10, 15 solved in the following anniversary track from the SAT competition 2022 by any solver.</p>
NOAA Coastwatch Satellite Course (Set up an Application Model of Digital Satellite Data Simulation by Video Graphic Technology of Oceanic data Remotely Sensed of algerian coast)
<p>The goal of the course is to familiarize NOAA/university researchers, Sea Grant professionals and agency/org. partners with different types of ocean satellite data, different tools, and teach participants how to use satellite data in their own research/outreach using their choice of software (NOAA ,2023)</p>
SAT Competition 2011 Application Track Benchmarks
<p>These are the 300 CNF files in DIMACS format from the application track of the SAT competition 2011.</p>
SAT Competition 2013 Application Track Benchmarks
<div> <p>These are the 300 CNF files in DIMACS format from the application track of the SAT competition 2013.</p> </div>
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.