Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,271
datasets available to search
ShareScore release 0.9.0
Dataset results
1,271 results for “Data Flow”
Supporting data and code for Leach et al. 'Zero-flow dynamics for headwater streams in a humid forested landscape'
<p>Supporting data and code for Leach et al. 'Zero-flow dynamics for headwater streams in a humid forested landscape'. The R script contains details on the data files.</p>
Dataset: Advanced Similarity Metrics for IP Flow Data Analytics
<p>Analysis of encrypted traffic in computer networks is intricate due to reduced visibility in transmitted content. Machine-learning techniques applied to data representing characteristics of traffic flows provide powerful tools for network monitoring or intrusion detection. Since real-world datasets are scarce, we present a novel traffic classification dataset with TLS traffic. The dataset contains three days (19-08-2022 -- 21-08-2022) of anonymized communication on CESNET3 ISP network, which is used by approximately half a million users daily.</p> <p><strong>Ethic statement </strong>The privacy of the CESNET network users is a fundamental concern in our work, leading us to conduct our research with careful consideration. The indisputable advantages of real traffic generated by hundreds of thousands of people come with understandable privacy concerns. Thus, we used only automatic data processing with immediate data anonymization. With this, we declare that we did not analyze or manually process non-anonymized data or perform any procedures that could allow us to track users or reveal their identities. </p> <p><strong>Data description</strong> The dataset consists of network flows describing encrypted TLS communications. Flows are extended with packet sequences, histograms, and fields extracted from the TLS ClientHello message, which is transmitted in the first packet of the TLS connection handshake. The most important extracted handshake field is the SNI domain, which is used for ground-truth labeling. </p> <p><strong>Packet Sequences</strong> Sequences of packet sizes, directions, and inter-packet times are standard data input for traffic analysis. For packet sizes, we consider the payload size after transport headers (TCP headers for the TLS case). We omit packets with no TCP payload, for example ACKs, because zero-payload packets are related to the transport layer internals rather than services’ behavior. Packet directions are encoded as ±1, where +1 means a packet sent from client to server, and -1 is a packet from server to client. Packet timing depends on the location of communicating hosts, their distance, and on the network conditions on the path. However, it is still possible to extract relevant information that correlates with user interactions and, for example, with the time required for an API/server/database to process the received data and generate a response. Packet sequences have a maximum length of 30, which is the default setting of the used flow exporter. We also derive three fields from each packet sequence: its length, time-stamps, and TCP flags. </p> <p><strong>Flow statistics</strong> Each data record also includes standard flow statistics, representing aggregated information about the entire bidirectional connection. The fields are the number of transmitted bytes and packets in both directions, the duration of the flow, and packet histograms. The packet histograms include binned counts (not limited to the first 30 packets) of packet sizes and inter-packet times in both directions. There are eight bins with a logarithmic scale; the intervals are 0-15, 16-31, 32-63, 64-127, 128-255, 256-511, 512-1024, >1024 [ms or B]. The units are milliseconds for inter-packet times and bytes for packet sizes (More information in the <a href="https://github.com/CESNET/ipfixprobe/tree/master#phists">PHISTS plugin documentation).</a> </p> <p><strong>Dataset structure</strong> The dataset is organized per individual days and hours. The flows are delivered in compressed CSV files. CSV files contain one flow per row; data columns are summarized in the provided list below. The following list describes flow data fields in CSV files:</p> <ul> <li><strong>TCP_FLAGS: </strong>Logical OR of all TCP flags transmitted from client to server</li> <li><strong>TCP_FLAGS_REV: </strong>Logical OR of all TCP flags transmitted from server to client</li> <li><strong>TLS_SNI:</strong> Server Name Indication domain</li> <li><strong>TIME_FIRST:</strong> Timestamp of the first packet in format YYYY-MM-DDTHH-MM-SS.ffffff</li> <li><strong>TIME_LAST:</strong> Timestamp of the last packet in format YYYY-MM-DDTHH-MM-SS.ffffff</li> <li><strong>DURATION:</strong> Duration of the flow in seconds</li> <li><strong>BYTES:</strong> Number of transmitted bytes from client to server</li> <li><strong>BYTES_REV:</strong> Number of transmitted bytes from server to client</li> <li><strong>PACKETS:</strong> Number of packets transmitted from client to server</li> <li><strong>PACKETS_REV:</strong> Number of packets transmitted from server to client</li> <li><strong>PPI_PKT_DIRECTIONS:</strong> Direction of PPI sequence </li> <li><strong>PPI_PKT_FLAGS:</strong> TCP flags of PPI sequence</li> <li><strong>PPI_PKT_TIMES:</strong> Timestamps of individual packets in PPI sequence</li> <li><strong>PPI_PKT_LENGTHS:</strong> Lengths of individual packets in PPI sequence</li> <li><strong>S_PHISTS_SIZES:</strong> Histogram of packet sizes from client to server</li> <li><strong>D_PHISTS_SIZES: </strong>Histogram of packet sizes from server to client</li> <li><strong>S_PHISTS_IPT: </strong>Histogram of inter-packet times from client to server</li> <li><strong>D_PHISTS_IPT:</strong> Histogram of inter-packet times from server to client</li> </ul> <p> </p> <p>The dataset also contains a service map in the form of a CSV file. The service map can be used to extract high-level labels from SNI domain names. </p> <p> </p> <p>The directory tree of the dataset is:</p> <pre><code>. ├── 20220819 │ ├── flows.202208190000.csv │ ├── flows.202208190100.csv | ├── ... │ └── flows.202208192300.csv ├── 20220820 │ ├── flows.202208200000.csv │ ├── flows.202208200100.csv | ├── ... │ └── flows.202208202300.csv └── 20220821 ├── flows.202208210000.csv ├── flows.202208210100.csv ├── ... └── flows.202208212300.csv<br></code></pre>
DATA: Solute dispersion in accelerating flows
<p>The data set (images, openFoam solver, plottings) of the journal paper.</p>
Data for "Segregation-induced flow transitions in rock-ice avalanches"
<p>This is raw data and the codes needed to replicate all the graphs in the manuscript entitled "Segregation-induced flow transitions in rock-ice avalanche".</p>
Data Collection During CT for Axial Flow VADs
ClinicalTrials.gov study NCT00427739. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Predictive Model for High-Flow Nasal Cannula Failure in COVID-19-related Acute Hypoxemic Respiratory Failure Based on Metabolomics and Clinical Data
ClinicalTrials.gov study NCT06695442. IPD Sharing: NO. Countries: 1. Publications: 0.
Analyzing Patient Flows at the Emergency Department by Data Analytics, Simulation, and Optimization
ClinicalTrials.gov study NCT05025683. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Surpass Flow Diverter for Intracranial Aneurysms: SURMOUNT Registry Data Collection
ClinicalTrials.gov study NCT02281721. IPD Sharing: Not stated. Countries: 9. Publications: 0.
Data from: Perceived shift of the centres of contracting and expanding optic flow fields: different biases in the lower-right and upper-right visual quadrants
Open the record for dataset details and reuse information.
Data from: Divergence with gene flow in a population of thermophilic bacteria: a potential role for spatially varying selection
Open the record for dataset details and reuse information.
Data from: Imposed work of breathing for flow meters with in-line versus flow-through technique during simulated neonatal breathing
Open the record for dataset details and reuse information.
Data from: Estimation of inhalation flow profile using audio-based methods to assess inhaler medication adherence
Open the record for dataset details and reuse information.
Data from: Using CRISPRs as a metagenomic tool to identify microbial hosts of a diffuse flow hydrothermal vent viral assemblage
Open the record for dataset details and reuse information.
Data from: Sex-biased gene flow among elk in the greater Yellowstone ecosystem
Open the record for dataset details and reuse information.
Data from: Empirical phylogenies and species abundance distributions are consistent with pre-equilibrium dynamics of neutral community models with gene flow
Open the record for dataset details and reuse information.
Data from: Rapid transporter regulation prevents substrate flow traffic jams in boron transport
Open the record for dataset details and reuse information.
Data from: Small-scale patterns in snowmelt timing affect gene flow and the distribution of genetic diversity in the alpine dwarf shrub Salix herbacea
Open the record for dataset details and reuse information.
Data from: Sediments and flow have mainly independent effects on multitrophic stream communities and ecosystem functions
Open the record for dataset details and reuse information.
Data from: Continuum of vasodilator stress from rest to contrast medium to adenosine hyperemia for fractional flow reserve assessment
Open the record for dataset details and reuse information.
Data from: What, if anything, are hybrids: enduring truths and challenges associated with population structure and gene flow
Open the record for dataset details and reuse information.
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.