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Dataset results
12 results for “timestamps”
Forensic Exchange Analysis of Contact Artifacts on Data Hiding Timestamps-ADS Experiment Supplementary Files
<p>Da-Yu Kao is an Associate Professor at the Department of Information Management, Central Police University, Taiwan. He was a detective and forensic police officer at Taiwan's Criminal Investigation Bureau (under the National Police Administration). With a Master's degree in Information Management and a Ph.D. degree in Crime Prevention and Correction, he had led several investigations in cooperation with police agencies from other countries for the past 20 years. He is now the director of Computer Crime Investigation Lab at Central Police University and the webmaster of Cybercrime Investigation and Digital Forensics in the Facebook Group.</p>
Timestamped RDF-star datasets according to the rdfstar policy
<p>All three datasets were built on the basis of independent snapshots of the <a href="https://aic.ai.wu.ac.at/qadlod/bear.html">BEAR datasets</a>.</p> <p>Each triple was together with a creation and deletion timestamp cast into a <a href="https://w3c.github.io/rdf-star/tests/sparql/syntax/manifest.html#sparql-star-nested-1">nested quoted triples in subject position</a>. </p> <p>The timestamps for both datasets do not reflect the original timestamps of the triples but were for the sake of evaluating the RDF-star policies incremented by 1sec from the initial system timestamp.</p> <p>The main script used to construct these datasets can be found <a href="https://github.com/GreenfishK/starvers_eval/blob/master/scripts_dev/3_construct_datasets/construct_datasets.py">here</a>, which contains the logic on how to assemble these datasets. However, the script was run within a Docker container found on the <a href="https://github.com/GreenfishK/starvers_eval">starvers_eval</a> Github page.</p> <p> </p>
Complete Dataset links and GPS timestamps and locations of our recordings at the Morton Arboretum.
<p>This repository contains all the data to reproduce the experiments conducted in the research article:<br><br>"Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring"</p> <p>The complete dataset for reproducing the experiments conducted in this research are available at<a href="https://web.lcrc.anl.gov/public/waggle/datasets/morton_arb.tar"> Complete Morton Arboretum Data</a>.</p> <p>For a sub-sample of the complete version of the dataset, go to the following link: <a href="https://web.lcrc.anl.gov/public/waggle/datasets/morton_arb_small.tar">2021/06/30 study</a></p> <p>This repository also contains GPS timestamps, and GPS locations of our recordings at the Morton Arboretum, an internationally recognized tree-focused botanical garden and research center in Lisle, IL.</p> <p> </p> <p> </p>
Graphs with creation timestamp for Sortledton experiments
<p>These are the graphs used for the creation date ordered loads in the experiment for the Sortledton paper.</p> <p>The files are currently ordered by creation timestamp but the timestamp itself has been removed. This data can also be produced by downloading the original files from Konect.cc and using the Python script in the GFE driver repository.</p>
360 street view of ULM germany, timestamped with gps data
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Bitcoin Network Transaction Inv Data with Java Timestamp and Originator Id
<p>The data is a gz compression of a csv file with the following layout:</p> <p><timestamp in ms>,<originator id as sha-256 hash in hexadecimal string representation>, <hash of BTC Transaction in hexadecimal string representation></p> <p>Example lines:</p> <p>1547779473468,6cf1100aaccec75da23995512fc7c7a5b6e25224f5903af011e78691c03d0455,a73578820a41aa6180621bcd90af1997c88794b33d8db2f004ee37c3e09b10ec<br> 1547779473468,6cf1100aaccec75da23995512fc7c7a5b6e25224f5903af011e78691c03d0455,0beb35a4338b026fb4ceb0d215d372f67dfb0c73f1e21157e03dde2fbc6b94ee</p> <p>The data was gathered with a modified version of bitcoinj 0.14.7. The modification consisted of:</p> <ul> <li>Blinding Originator IP+Port by hashing with a key generated at application startup</li> <li>Logging every Transaction Inv message to a file</li> </ul> <p>The application running the modified library just consisted of creating a Peer Pool of at most 6000 connections and limiting broadcasting to require 100000 connections, set via bitcoinj parameters.</p> <p>The data of crawler-82GB.gz was gathered between 17.01.2019, 15:30 and 18.01.2019, 03:00 at Ulm University in Ulm, Germany. The data of crawler-01-02-2019-09-54-59-ULM.csv.gz was gathered on 01.02.2019 at Ulm Iniversity in Ulm, Germany as well.</p> <p>The data of crawler-24.01.2019-*.gz was gathered between 24.01.2019, 10:00 and 25.01.2019 10:00 on Microsoft Azure instances. The selected region of Azure is indicated in the filename: UK, South; US, East; Southeast Asia.</p> <p>The datasets of crawler-06.02.2019-*-SIMUL.csv.gz were gathered with the same runtime key so ID's can be linked within the datasets. Locations again are Ulm University, Germany, and Azure UK, South (GBS); US, East (USA); Southeast Asia (SEA).</p> <p>ETH-crawler-20+21.02.2019.csv contains a similar collection of the Ethereum network for comparisson.</p>
10k NPM packages with their versions, and the timestamp and dependencies per version
<p>10000 NPM packages with their versions, and the timestamp and dependencies per version, in the following format:</p> <p> </p> <pre><code class="language-json">{ "name": "react", "versions": { "1.00": { "timestamp": "06-05-2022T10:00:01", "dependencies": { "name": "^1.0.2" } } } }</code></pre> <p> </p>
YUTO MMS Dataset, Sequence B (Lidar data, Calibration files, Groundtruth, GPS, IMU, Timestamp)
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The fate of CD8+ T cells during infection is linked to their developmental origin [VirtualMemory_and_TrueNaïve_timestamp_ATACseq]
GEO Series GSE110030. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The fate of CD8+ T cells during infection is linked to their developmental origin [Naïve_Timestamp]
GEO Series GSE97795. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
The fate of CD8+ T cells during infection is linked to their developmental origin [VirtualMemory_and_TrueNaïve_timestamp]
GEO Series GSE109753. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
The fate of CD8+ T cells during infection is linked to their developmental origin [Virtual_Memory_following_infection_timestamp]
GEO Series GSE109754. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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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.