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Figure 18 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 18 The expression rates of MexB gene in the gold nanoparticles-treated samples and non-treated samples; a significant decrease in gene expression was observed between treated and non-treated samples in comparison with the control group. The G74 gene was used as an internal control.

Figure 15 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 15 Melting curve analysis to ensure the specificity of the amplified fragments of the MexB gene that the measured curves of the gene in all samples are consistent and single-peaked.

Figure 17 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 17 The expression rates of MexA gene in the gold nanoparticles-treated samples and non-treated samples; a significant decrease in gene expression was observed between treated and non-treated samples in comparison with the control group. The G74 gene was used as an internal control.

Figure 14 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 14 Melting curve analysis to ensure the specificity of the amplified fragments of the MexA gene; the measured curves of the gene in all samples are consistent and in the form of single-peak.

Figure 10 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 10 Percentage of Pseudomonas aeruginosa isolates carrying gyrB, rhlR, exoT, lasR, Pela, and toxA.

Figure 16 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 16 Melting curve analysis to ensure the specificity of the amplified fragments of the MexB gene; the measured curves of the gene in all samples are consistent and in the form of single-peak.

Figure 11 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 11 Results of MexA gene replication in clinical isolates of Pseudomonas aeruginosa. Well 1: marker size 1 kb; Well 2–8: positive samples of size 316 bp; Well 9: positive control of Pseudomonas aeruginosa PTCC 17589.

Figure 12 from: Dorri K, Modaresi F, Shakibaie MR, Moazamian E (2022) Effect of gold nanoparticles on the expression of efflux pump mexA and mexB genes of Pseudomonas aeruginosa strains by Quantitative real-time PCR. Pharmacia 69(1): 125-133. https://doi.org/10.3897/pharmacia.69.e77608

Figure 12 Results of MexB gene replication in clinical isolates of Pseudomonas aeruginosa. Well 6: marker size 1 kb; Well 1–5 and 8–12: positive samples of size 244 bp; Well 7: positive control of Pseudomonas aeruginosa PTCC 17589.

opencc-by-4.0Oct 2021View details →

Viral suppression after transition from nonnucleoside reverse transcriptase inhibitor- to dolutegravir-based antiretroviral therapy: A prospective cohort study in Lesotho (DO-REAL study)

Pseudonymized dataset for the published manuscript "Viral suppression after transition from nonnucleoside reverse transcriptase inhibitor- to dolutegravir-based antiretroviral therapy: A prospective cohort study in Lesotho (DO-REAL study)"

DoH -- Real-World

Please refer to the original data article for further data description: <a href="https://doi.org/10.1016/j.dib.2022.108310">Jeřábek & Hynek et al., Collection of datasets with DNS over HTTPS traffic In: Data in Brief Journal</a> ,DOI:<a href="https://doi.org/10.1016/j.dib.2022.108310">10.1016/j.dib.2022.108310</a> The collection of datasets contains DoH and HTTPS traffic that was captured in a real large ISP network. The data are provided in the form of PCAP files. However, since we needed to anonymize the real captures, we also provided TLS enriched flow data that are generated with opensource <a href="https://github.com/CESNET/ipfixprobe">ipfixprobe</a> flow exporter. Other than TLS related information is not relevant since the dataset comprises only encrypted TLS traffic. The TLS enriched flow data are provided in the form of CSV files with the following columns: <table> <thead> <tr> <th>Column Name</th> <th>Column Description</th> </tr> </thead> <tbody> <tr> <td>DST_IP</td> <td>Destination IP address</td> </tr> <tr> <td>SRC_IP</td> <td>Source IP address</td> </tr> <tr> <td>BYTES</td> <td>The number of transmitted bytes from Source to Destination</td> </tr> <tr> <td>BYTES_REV</td> <td>The number of transmitted bytes from Destination to Source</td> </tr> <tr> <td>TIME_FIRST</td> <td>Timestamp of the first packet in the flow in format YYYY-MM-DDTHH-MM-SS</td> </tr> <tr> <td>TIME_LAST</td> <td>Timestamp of the last packet in the flow in format YYYY-MM-DDTHH-MM-SS</td> </tr> <tr> <td>PACKETS</td> <td>The number of packets transmitted from Source to Destination</td> </tr> <tr> <td>PACKETS_REV</td> <td>The number of packets transmitted from Destination to Source</td> </tr> <tr> <td>DST_PORT</td> <td>Destination port</td> </tr> <tr> <td>SRC_PORT</td> <td>Source port</td> </tr> <tr> <td>PROTOCOL</td> <td>The number of transport protocol</td> </tr> <tr> <td>TCP_FLAGS</td> <td>Logic OR across all TCP flags in the packets transmitted from Source to Destination</td> </tr> <tr> <td>TCP_FLAGS_REV</td> <td>Logic OR across all TCP flags in the packets transmitted from Destination to Source</td> </tr> <tr> <td>TLS_ALPN</td> <td>The Value of Application Protocol Negotiation Extension sent from Server</td> </tr> <tr> <td>TLS_JA3</td> <td>The JA3 fingerprint</td> </tr> <tr> <td>TLS_SNI</td> <td>The value of Server Name Indication Extension sent by Client</td> </tr> </tbody> </table> The DoH resolvers in the dataset can be identified by IP addresses written in doh_resolver_ip.csv file. The main part of the dataset is located in DoH-Real-World.tar.gz and has the following structure: <pre><code>. └── data | - Main directory with data └── captured | - Directory with data captured on ISP backbone lines ├── pcap | - ISP backbone PCAPS └── tls-flow-csv | - ISP backbone CSV flow data </code></pre>   Dataset collection statistics: <table> <thead> <tr> <th>Name</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>Total Data Size</td> <td>179 GB</td> </tr> <tr> <td>Total Time</td> <td>~10 Days</td> </tr> <tr> <td>Connections</td> <td>~420 M</td> </tr> <tr> <td>Number of unique Client IP addresses</td> <td>116,263</td> </tr> <tr> <td>Number of unique Server IP addresses</td> <td>9343</td> </tr> <tr> <td>Number of unique DoH Resolver's IP addresses</td> <td>142</td> </tr> </tbody> </table>   Please cite the original article: <pre><code>@article{Jerabek2022, title = {Collection of datasets with DNS over HTTPS traffic}, journal = {Data in Brief}, volume = {42}, pages = {108310}, year = {2022}, issn = {2352-3409}, doi = {https://doi.org/10.1016/j.dib.2022.108310}, url = {https://www.sciencedirect.com/science/article/pii/S2352340922005121}, author = {Kamil Jeřábek and Karel Hynek and Tomáš Čejka and Ondřej Ryšavý} }</code></pre>

opencc-zeroFeb 2022View details →

dryad28/100

Slow oscillation-spindle coupling strength predicts real-life gross-motor learning in adolescents and adults

Previously, we demonstrated that precise temporal coordination between slow oscillations (SO) and sleep spindles indexes declarative memory network development (Hahn et al., 2020). However, it is unclear whether these findings in the declarative memory domain also apply in the motor memory domain. Here, we compared adolescents and adults learning juggling, a real-life gross-motor task. We found that improved task proficiency after sleep lead to an attenuation of the learning curve, suggesting a dynamic juggling learning process. We employed individualized cross-frequency coupling analyses to reduce inter and intra-group variability of oscillatory features. Advancing our previous findings, we identified a more precise SO-spindle coupling in adults compared to adolescents. Importantly, coupling precision over motor areas predicted overnight changes in task proficiency and learning curve, indicating that SO-spindle coupling is sensitive to the dynamic motor learning process. Our results provide first evidence that regionally specific precisely coupled sleep oscillations support gross-motor learning.

opennotspecifiedNov 2017View details →

Distribution. SE Peru (S Cordillera Carabaya) and WC Bolivia (Cordillera Real). in Cricetidae

Distribution. SE Peru (S Cordillera Carabaya) and WC Bolivia (Cordillera Real).

opencc-by-4.0Jun 2022View details →

Real-time oceanography captured by autonomous sailbuoy in Lofoten/Vesterålen 2018

Real-time oceanography from sailbuoy <a href="http://sailbuoy.no/13-news/74-introducing-the-sb-echo">Echo</a>'s long-endurance data acquisition campaign for the <a href="https://prosjektbanken.forskningsradet.no/en/project/FORISS/269188">Glider project</a>. The study area ranged from 66–71N and 8–19E, focusing on the coastal shelf area surrounding the Lofoten and Vesterålen islands, Norway, from March to August 2018. The dataset contains 4684 oceanography data points, and ~10000 auxiliary data points, spread over a period of 154 days. Oceanography variables GPS <ul> <li><code>Time</code> UTC</li> <li><code>Lat</code> latitude WGS84</li> <li><code>Long</code> longitude WGS84</li> </ul> Conductivity and temperature, from <a href="https://nbosi.com">NBOSI</a> CT sensors <ul> <li><code>CTTemp</code> Sea surface temperature <code>°C</code></li> <li><code>CTCond</code> Sea water conductivity <code>mS/cm</code></li> </ul> From <a href="https://www.aanderaa.com/">Aanderaa</a> Oxygen Optode 4831 <ul> <li><code>O2Con</code> Oxygen O₂ concentration <code>µM</code></li> <li><code>O2Air</code> Oxygen O₂ air saturation <code>%</code></li> <li><code>O2Temp</code> Oxygen O₂ water temperature <code>°C</code></li> </ul> The data is published as 2 TSV files from iridium real-time messages that were received, parsed, and exported from <a href="https://iridium2.azurewebsites.net/">Offshore Sensing's portal</a>. For more information on the <a href="https://www.akvaplan.niva.no/">Akvaplan-niva</a>-led Glider project, including its partners, technology, and results, see Camus et al.: <a href="https://doi.org/10.3390/s21206752">Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project</a>. Sensors 2021, 21, 6752. <a href="https://doi.org/10.3390/s21206752">https://doi.org/10.3390/s21206752</a> In 2022, Akvaplan-niva starts publishing the complete set of data from Glider (phase I) on their research archive on <a href="https://zenodo.org/communities/akvaplan-niva">Zenodo</a>.

opencc-by-4.0Oct 2022View details →

data source file to factors affecting augmented reality head mounted device performance in real OR

Excel spread sheet of data generated durgin the experiments and later used for statistical analysis

Figures 5-8 from: Nogueira DS, de Oliveira FF, de Oliveira ML (2017) The real taxonomic identity of Trigona latitarsis Friese, 1900, with notes on type specimens (Hymenoptera, Apidae). ZooKeys 713: 113-130. https://doi.org/10.3897/zookeys.713.11653

Figures 5-8 - Paralectotype worker of Trigona latitarsis Friese, 1900 deposited at the Entomological Collection of the HNHM. Lateral view 5 Frontal view of head 6 Lateral view of hind leg 7 Lateral view of metasoma 8 Scale bars in millimeters.

Figures 9-12 from: Nogueira DS, de Oliveira FF, de Oliveira ML (2017) The real taxonomic identity of Trigona latitarsis Friese, 1900, with notes on type specimens (Hymenoptera, Apidae). ZooKeys 713: 113-130. https://doi.org/10.3897/zookeys.713.11653

Figures 9-12 - Details of Trigona latitarsis Friese, 1900 workers of the additional material examined from Amazonas State. Blackish setae among the ramified whitish setae on pronotal lobe 9 Apex of the posterior border of mesothoracic basitarsus sharp 10 Blackish setae on T4 to T6 11 Whitish setae on sterna 12 Scales in millimeters.

Figures 21-24 from: Nogueira DS, de Oliveira FF, de Oliveira ML (2017) The real taxonomic identity of Trigona latitarsis Friese, 1900, with notes on type specimens (Hymenoptera, Apidae). ZooKeys 713: 113-130. https://doi.org/10.3897/zookeys.713.11653

Figures 21-24 - Physogastric queen of Scaura latitarsis (Friese, 1900). Lateral view (21) Frontal view of head (22) Dorsal view (23) Ventral view of fifth sterna (24). Scales in millimeters.

Figures 19- 20 from: Nogueira DS, de Oliveira FF, de Oliveira ML (2017) The real taxonomic identity of Trigona latitarsis Friese, 1900, with notes on type specimens (Hymenoptera, Apidae). ZooKeys 713: 113-130. https://doi.org/10.3897/zookeys.713.11653

Figures 19- 20 - Male genital capsule of Scaura latitarsis (Friese, 1900). Dorsal view (19) Ventral view (20). Scales in millimeters.

Figures 26-28 from: Nogueira DS, de Oliveira FF, de Oliveira ML (2017) The real taxonomic identity of Trigona latitarsis Friese, 1900, with notes on type specimens (Hymenoptera, Apidae). ZooKeys 713: 113-130. https://doi.org/10.3897/zookeys.713.11653

Figures 26-28 - Labels of type material deposited at the Entomological Collection of the HNHM. Lectotype of Trigona latitarsis Friese, 1900 (26) Lectotype of Trigona heideri Friese, 1900 (27A, B) Paralectotype Trigona kohli Friese, 1900 (28).

Figures 1-4 from: Nogueira DS, de Oliveira FF, de Oliveira ML (2017) The real taxonomic identity of Trigona latitarsis Friese, 1900, with notes on type specimens (Hymenoptera, Apidae). ZooKeys 713: 113-130. https://doi.org/10.3897/zookeys.713.11653

Figures 1-4 - Lectotype of Trigona latitarsis Friese, 1900, designated by Melo and Costa (2004) deposited at the ZMB, invalidated in this study. Lateral view 1 Frontal view of head 2 Lateral view of hind leg and metasoma 3 Dorsal view 4 Scale bars in millimeters.