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1,393 results for “traces”
Workflow Trace Archive askalon-new_ee65 trace
BWA (short for Burroughs-Wheeler Alignment tool) is a genomics analysis workflow, courtesy of Scott Emrich and Notre Dame Bioinformatics Laboratory. It maps low-divergent sequences against a large reference genome, such as the human genome.
Workflow Trace Archive LANL_Mustang trace
This workload was published by Amvrosiadis et al. as part of their ATC 2018 paper titled "On the diversity of cluster workloads and its impact on research results".
Workflow Trace Archive askalon-new_ee17 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee53 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee54 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee21 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee18 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee63 trace
BWA (short for Burroughs-Wheeler Alignment tool) is a genomics analysis workflow, courtesy of Scott Emrich and Notre Dame Bioinformatics Laboratory. It maps low-divergent sequences against a large reference genome, such as the human genome.
Workflow Trace Archive askalon-new_ee13 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee44 trace
Wien2k uses a full-potential Linearized Augmented Plane Wave (LAPW) approach for the computation of crystalline solids.
Workflow Trace Archive askalon-new_ee61 trace
BWA (short for Burroughs-Wheeler Alignment tool) is a genomics analysis workflow, courtesy of Scott Emrich and Notre Dame Bioinformatics Laboratory. It maps low-divergent sequences against a large reference genome, such as the human genome.
Workflow Trace Archive Google trace
<p>This workload contains the popular Google cluster trace (2014) in the workflow trace archive format.</p>
Trace-Share Dataset for Evaluation of Trace Meaning Preservation
<p>The dataset contains all data used during the evaluation of trace meaning preservation. Archives are protected by password "<strong>trace-share</strong>" to avoid false detection by antivirus software.</p> <p>For more information, see the project repository at <strong><a href="https://github.com/Trace-Share">https://github.com/Trace-Share</a></strong>.</p> <p> </p> <p><strong>Selected Attack Traces</strong></p> <p>The following list contains trace datasets used for evaluation. Each attack was chosen to have not only a different meaning but also different statistical properties.</p> <ul> <li><strong>dos_http_flood</strong> — the capture of GET and POST requests sent to one server by one attacker (HTTP~traffic);</li> <li><strong>ftp_bruteforce</strong> — short and unsuccessful attempt to guess a user’s password for FTP service (FTP traffic);</li> <li><strong>ponyloader_botnet</strong> — Pony Loader botnet used for stealing of credentials from 3 target devices reporting to single IP with a large number of intermediate addresses (DNS and HTTP traffic);</li> <li><strong>scan</strong> — the capture of nmap tool that scans given subnet using ICMP echo and TCP SYN requests (consist of ARP, ICMP, and TCP traffic);</li> <li><strong>wannacry_ransomware</strong> — the capture of Wanacry ransomware that spreads in a domain with three workstations, a domain controller, and a file-sharing server (SMB and SMBv2 traffic).</li> </ul> <p> </p> <p><strong>Background Traffic Data</strong></p> <p>Publicly available dataset <a href="https://www.unb.ca/cic/datasets/ids-2018.html">CSE-CIC-IDS-2018</a> was used as a background traffic data. The evaluation uses data from the day Thursday-01-03-2018 containing a sufficient proportion of regular traffic without any statistically significant attacks. Only traffic aimed at victim machines (range 172.31.69.0/24) is used to reduce less significant traffic.</p> <p> </p> <p><strong>Evaluation Results and Dataset Structure</strong></p> <ul> <li>Traces variants (<a href="https://zenodo.org/record/3547528/files/traces.zip"><em>traces.zip</em></a>) <ul> <li>./traces-original/ — trace PCAP files and crawled details in YAML format;</li> <li>./traces-normalized — normalized PCAP files and details in YAML format;</li> <li>./traces-adjusted — adjusted PCAP files using various timestamp generation settings, combination configuration in YAML format, and lables provided by ID2T in XML format.</li> </ul> </li> <li>Extracted alerts (<a href="https://zenodo.org/record/3547528/files/alerts.zip"><em>alerts.zip</em></a>) <ul> <li>./alerts-original/ — extracted Suricata alerts, Suricata log, and full Suricata output for all original trace files;</li> <li>./alerts-normalized/ — extracted Suricata alerts, Suricata log, and full Suricata output for all normalized trace files;</li> <li>./alerts-adjusted/ — extracted Suricata alerts, Suricata log, and full Suricata output for all adjusted trace files.</li> </ul> </li> <li>Evaluation results <ul> <li>*.csv files in the root directory — data contains extracted alert signatures and their count per each trace variant.</li> </ul> </li> </ul> <p> </p>
Server Traces for The Last-Level Branch Predictor
<p>These traces are used in the paper "The Last-Level Branch Predictor". They where collected by running the workloads on gem5 in full-system mode. The traces are encoded in the <a href="https://github.com/ChampSim/ChampSim">ChampSim </a>format.</p> <p>For more details on the traces and how to use them, refer to the <a href="https://github.com/dhschall/LLBP" target="_blank" rel="noopener">LLBP framework</a>.</p> <p> </p> <p>Four traces (charlie, delta, merced, whiskey) were obtained from the publicly available <a href="https://dynamorio.org/google_workload_traces.html">Google Workload Traces</a>, converted into the ChampSim format and are available under the following license:</p> <blockquote> <p>Copyright (c) 2022 Google LLC. <br>All other rights reserved.</p> <p>Redistribution and use in source and binary forms, with or without<br>modification, are permitted provided that the following conditions are met:</p> <p>* Redistributions of source code must retain the above copyright notice,<br> this list of conditions and the following disclaimer.</p> <p>* Redistributions in binary form must reproduce the above copyright notice,<br> this list of conditions and the following disclaimer in the documentation<br> and/or other materials provided with the distribution.</p> <p>* Neither the name of Google LLC. nor the names of its contributors may be<br> used to endorse or promote products derived from this software without<br> specific prior written permission.</p> <p>THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"<br>AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE<br>IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE<br>ARE DISCLAIMED. IN NO EVENT SHALL GOOGLE LLC. OR CONTRIBUTORS BE LIABLE<br>FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL<br>DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR<br>SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER<br>CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT<br>LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY<br>OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH<br>DAMAGE.</p> </blockquote> <p> </p> <p> </p>
Data Sets for: Trace elements in aerosol from Northwest Pacific marginal sea, Indian Ocean and South Pacific to Antarctica: Spatial variability and source identification
<p>This dataset includes the concentrations of trace elements in aerosols, along with location and time information, collected during a cruise from November 2021 to April 2022. The cruise covered the Pacific, the Indian Ocean, the Southern Ocean.</p>
Tracing the oxidizing state and element-mobilizing fluids in continental subduction zones:Insights from the granitic melt-eclogite interface
Open the record for dataset details and reuse information.
Figure 26 in Integrative revision of the Lygodactylus gutturalis (Bocage, 1873) complex unveils extensive cryptic diversity and traces its evolutionary history
Figure 26. Photos in life of L. cf. gutturalis from (A) Jinka, South West Region, (B) Dolo Mena, Oromia Region, and (C–D) Debre Markos, Amhara Region, Ethiopia, and Lygodactylus sp. from (E–F) Maasai Mara, Rift Valley Province, Kenya and (G–H) Dodoma, Dodoma Region, Tanzania. Photos by Tim Spawls (A–B), Tomáš Mazúch (C–D), and Steve Spawls (E–H).
Figure 25. A in Integrative revision of the Lygodactylus gutturalis (Bocage, 1873) complex unveils extensive cryptic diversity and traces its evolutionary history
Figure 25. A, Dorsal and ventral views of head, showing gular ornamentation and pholidosis variation in L. gamblei sp. nov. B, Specimens of L. gamblei sp. nov. in lateral view, showing its characteristic scapular pattern. Red points denote males and blue points denote females. Photos by J.L.R.
Figure 24 in Integrative revision of the Lygodactylus gutturalis (Bocage, 1873) complex unveils extensive cryptic diversity and traces its evolutionary history
Figure 24. Holotype of L. gamblei sp. nov. (UTEP 22587) from Manono, Tanganyika Province, DRC. A, Dorsal and ventral view of body. B, Details of the cloacal region. C, Detailed view of head in ventral, dorsal, and lateral views (from top to bottom). Photos by J.L.R.
Figure 23. A–B in Integrative revision of the Lygodactylus gutturalis (Bocage, 1873) complex unveils extensive cryptic diversity and traces its evolutionary history
Figure 23. A–B, Holotype (UTEP 22577) and (C–D) paratype (UTEP 22596) of L. leopardinus sp. nov. in life and photo of habitat from (E) type locality at Balolombo Village, Busira River, Équateur Province, DRC. F–G, Holotype (UTEP 22587) and (H–I) paratype (UTEP 22584) of L. gamblei sp. nov. in life and photo of habitat from (J) type locality at Manono, Tanganyika Province, DRC. Photographs by E.G.
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.