Skip to main content
Powered by ShareScore

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.

40

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

40 results for “Digital Forensics”

Learn how ShareScore rates datasets ↗
zenodo48/100

Dataset for paper: A Systematic Literature Review and Recommendations for Ontology-based Support of Digital Forensics

<p>PLEASE, READ THE README.TXT FILE</p> <p>This document describes how to interpret the data and metadata files, and it is licensed under Creative Commons CC BY-NC-AS (https://creativecommons.org/licenses).</p> <p>The file &quot;primary_studies_final_set-DATA.csv&quot; is a CSV file format and contains the raw data extracted from our systematic literature review primary studies. Such data were extracted based on the research questions defined for our study.<br> The file &quot;primary_studies_final_set-METADATA.csv&quot; is a CSV file format and contains the following:<br> - the first row contains two pieces of information: the data type, which might be original or reused;<br> - the second row contains the reused data URL/DOI, which should inform the URL or DOI from which the data was reused, or n/a if the data is original;<br> - the third row contains the date of data generation in the format mm/dd/yyyy;<br> - the fourth row contains 11 elements describing each of the fields of the file &quot;primary_studies_final_set-DATA.csv&quot;: the study ID, title, objective, six research questions, and an observation field; and<br> - the fifth row describes the data type of each field of the file &quot;primary_studies_final_set-DATA.csv&quot;.<br> The .bib files contain the bibtex entry for the final set of studies.<br> The license.txt file describes the Creative Commons license for this material.</p> <p>We hope you have an excellent read!!</p> <p>Cheers!<br> Thiago, Edson, and Avelino</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Dataset for Review and Agenda of Digital Forensics Education and Training

<p>This repository has four .bib files encompassing 49 primary study entries, and one .CSV file with data extracted from such studies.</p> <p><strong>The authors gratefully acknowledge the support of the Technology in Forensic Sciences project (Instituto Nacional de Ci&ecirc;ncia e Tecnologia em Ci&ecirc;ncias Forenses - \textbf{INCT Forense}, Grant \#465450/2014-8) for funding this work.&nbsp;</strong></p> <p><strong>We also thank the \textbf{Arauc&aacute;ria Funding Agency of Paran&aacute;} for their financial and institutional support, as well as \textbf{NAPI - Public Security and Forensic Science} for research funding (Grant \#22.632.926-9). &nbsp;</strong></p> <p><strong>This work is also supported by CAPES Pro-Defesa (Grant \# V3084362P).</strong></p> <p><strong>Avelino Zorzo thanks \textbf{CNPq/Brazil} Grant \#306250/2021-7.&nbsp;</strong></p> <p><strong>Edson OliveiraJr thanks \textbf{CNPq/Brazil} Grant \#311503/2022-5.&nbsp;</strong></p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

DFPulse: The 2024 Digital Forensic Practitioner Survey (Response Dataset)

<h2><strong>Information given to survey respondents:</strong></h2> <p><strong>Introduction</strong></p> <p>The aim of this survey is to improve the relevance of academic work to practitioners, and to improve the flow of information between the digital forensic researcher and practitioner communities.</p> <p>This survey consists of three sections:&nbsp;</p> <p>* demographics (19 questions)</p> <p>* the challenges you face (20 questions),&nbsp;</p> <p>* engagement with academia (11 questions, optional).&nbsp;</p> <p>If you wish, you can stop and submit at the end of Section 2 the responses that you've given in Sections 1 and 2. We estimate that completing as far as the end of Section 2 will take approximately 20-25 mins, and the full survey approximately 30 minutes.</p> <p>We appreciate that your time is extremely valuable, but we hope to use this survey to direct academic research to be of maximum value to you. We would really appreciate you giving up some of your time to provide input to this survey to help make digital forensic research more relevant to you, and to help us communicate the results of that research more effectively to you.</p> <p><strong>Who is conducting this?</strong></p> <p>This survey is being conducted by Assoc. Prof. Mark Scanlon in the School of Computer Science, University College Dublin, Ireland. The title of this research is &ldquo;Exploring the issues faced by digital forensic practitioners and identifying the relationship between academic research and digital forensic practice&rdquo;. There are five collaborators on the project:</p> <p>Assoc. Prof. Frank Breitinger, School of Criminal Justice, University of Lausanne, Switzerland.<br>Dr. Liz Dowthwaite, School of Computer Science, University of Nottingham, United Kingdom.<br>Dr. Chris Hargreaves, Department of Computer Science, University of Oxford, United Kingdom.<br>Assoc. Prof. Mark Scanlon, School of Computer Science, University College Dublin, Ireland.<br>Dr. Helena Webb,&nbsp;School of Computer Science,&nbsp;University of Nottingham, United Kingdom.</p> <p><strong>What is this research about?</strong></p> <p>Exploring the status quo of (academic) research and digital forensic practitioners, i.e., has the research an impact on the practitioners. These also includes exploring if/how practitioners follow academic output/venues.</p> <p><strong>Why are we do</strong><strong>ing this research?</strong></p> <p>To better understand the needs of practitioners and to explore the interaction between digital forensic practitioners and researchers.</p> <p><strong>How will your data be used?</strong></p> <p>Responses will be discussed among the study authors. Most relevant findings will be summarised in a research article and the anonymous responses will be shared with the community.</p> <p><strong>What will happen if you decide to take part in this research study?</strong></p> <p>This anonymous online survey will take you approximately 30 minutes to complete.</p> <p><strong>How will we protect your privacy?</strong></p> <p>The responses given to the survey are anonymous, with no uniquely identifiable information recorded.</p> <p><strong>What are the benefits of taking part in this research study?</strong></p> <p>Taking part in this survey will enable you to inform future digital forensic research directions. The results of the survey will be disseminated with the digital forensic research community.</p> <p><strong>What are the risks of taking part in this research study?</strong></p> <p>The risks in taking part in the survey are negligible as all data collection is anonymous.</p> <p><strong>Can I change my mind at any stage and withdraw from the study?</strong></p> <p>During the completion of the survey, you can withdraw at any time. You can withdraw by closing the window and/or simply not submitting your responses on the last page of the survey. Partially completed surveys will not be retained. After your response is submitted, it cannot be subsequently withdrawn, as your response is anonymous.</p> <p><strong>How will I find out what happens with this project?</strong></p> <p>The intention is that the insights gained from this survey will be disseminated through common academic channels including any/all of the following: journal article or conference paper publication, poster publication, preprint publication, data sharing, conference presentation, classroom sharing, and/or informing future research directions.</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Image Processing

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci &quot;<em>digital forensic</em>&quot; dan &quot;<em>image processing</em>&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Ghana

<p>Bahwa data ini digunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci <em>&quot;Digital Forensic </em>dan<em>&nbsp;Ghana&quot;</em></p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Female

<p>Data ini digunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci &quot;digital forensic&quot;&nbsp;dan &quot;female&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Reproducibility of Result

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur&nbsp;dengan kata kunci &quot;<em>digital forensic&quot; dan</em>&nbsp;&quot;<em>reproducibility of result&quot;</em></p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Humans

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci &quot;D<em>igital Forensic&nbsp;dan&nbsp;Humans&quot;</em></p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Digital Forensics

<p>Data ini digunakan untuk membuat&nbsp;penelitian sesuai dengan Tinjauan Literatur dengan kata kunci &quot;<em>digital forensic</em>&quot; dan &quot;<em>digital forensics</em>&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Humans

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensic&quot; dan Humans</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Image Processing

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;digital forensic&quot; dan &quot;image processing&quot;&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital forensic AND Ghana

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensic&quot;&nbsp;dan &quot;Ghana&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Reproducibility of Results

<p>data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensic&quot; dan &quot;Reproducibility of Results&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Female

<p>Data ini digunakan untuk membuat penelitian berdasarkan&nbsp;tinjauan literatur dengan kata kunci &quot;digital forensic&quot;&nbsp;dan &quot;Female&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

dataset literatur review digital forensic photogrammetry

<p>Bahwa data ini digunakan untuk membuat penelitian sesuai dengan literatur review dengan kata kunci &quot;digital forensic AND photogrammetry&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic AND Digital Forensics

<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci &quot;Digital &quot;Forensic&quot;&nbsp;dan&nbsp;&quot;Digital Forensics&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic and Organization & Administration

<p>Bahwa data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci digital forensik dan Organization &amp; Administration</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

The use of Artificial Intelligence in Digital Forensics

<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;Digital Forensik&quot; dan &quot;Artificial Intelligence&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review digital forensic AND discriminant analysis

<p>data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci &quot;digital forensic&quot; dan&nbsp;discriminant analysis&quot;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset Literature Review Digital Forensic And Methods

<p>Data ini diambil dari website lens.org dengan memasukkan keyword/kata kunci &ldquo;Digital Forensic&rdquo;&rdquo;Methods&rdquo; pada Sholarly Works yang kemudian difilter sebanyak 3 kali. Yang pertama di filter pada bagian Document Type menjadi &ldquo;Journal Article&rdquo;. Kedua, di filter pada Years dengan data rate 10 tahun mulai tahun 2002 sampai dengan tahun 2012. Kemudian di filter kembali pada bagian Subject, Subject Matter &ldquo;Law&rdquo;. Pada setiap tahapan mulai awal hingga akhir semua data tersebut di export dengan format CSV dan BIBTEX. Selain itu juga dengan mengambil semua gambar analysis pada tahap akhir pemfilteran.</p>

opencc-by-4.0Nov 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record