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.
552
datasets available to search
ShareScore release 0.7.1
Dataset results
552 results for “Security”
Artifacts for Keyword Extraction From Specification Documents for Planning Security Mechanisms
<p>This dataset contains the data used for evaluating VDocScan - a keyword extraction based security vulnerability prediction method. The repository includes an extensive list of Products and Vulnerability reports from CVE, a custom created dataset mapping vulnerability reports to product documentations, as well as, intermediate results from the study such as decision trees rendered for each vulnerability, correlation matrix of vulnerabilities etc. </p>
Model Weights for "Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting"
<p>Model weights for use with the SatIQ fingerprinting models used in the paper “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”. The models are used to authenticate Iridium satellites from high sample rate message headers.</p> <p>The data collection and model code can be found at the following URL: <a href="https://github.com/ssloxford/SatIQ">https://github.com/ssloxford/SatIQ</a></p> <p>The preprint is available on arXiv at the following URL: <a href="https://arxiv.org/abs/2305.06947">https://arxiv.org/abs/2305.06947</a></p> <p>The final trained model is <code>ae-triplet-final.h5</code>. The others are from the additional experiments and analyses described in the paper, and are included for completeness.</p> <p>When using this data, please cite the following paper: “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”. The BibTeX entry is given below:</p> <pre><code>@inproceedings{smailesWatch2023, author = {Smailes, Joshua and K{\"o}hler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan}, title = {{Watch This Space}: {Securing Satellite Communication through Resilient Transmitter Fingerprinting}}, year = {2023}, publisher = {Association for Computing Machinery}, booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security}, location = {Copenhagen, Denmark}, series = {CCS '23} }</code></pre> <p> </p>
Dataset to Study Grid-Secure Use of Distributed Flexibility in Sequential DSO-TSO Markets
<p>We publish the dataset used to study Grid-Secure Use of Distributed Flexibility in Sequential DSO-TSO Markets (as part of chapter 7 of deliverable D3.3 of the OneNet project).</p> <p>The dataset is composed by an interconnected system consisting of the IEEE 14-bus (TN) transmission network connected to two distribution networks: the Matpower systems 69-bus (DN_69), and 141-bus (DN_141). All systems topology and some parameters are based on the corresponding cases in Matpower [1]. Injections and loads of the nodes are adapted to create an anticipated imbalance in the interconnected system, resolved by flexibility. In addition, the lines’ upper limits are adjusted to create anticipated congestion in the networks. The interconnected system is fully represented in "Network_case_A_B_C.xlsx" (upward balancing need) and "Network_case_D.xlsx" (downward balancing need).<br>Upward and downward flexibility bids are randomly generated and allocated to the nodes. </p> <p>7 bids lists are available in this dataset. </p> <p>Source of the systems' topology:</p> <p>[1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “Mat-power: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on power systems, vol. 26, no. 1, pp. 12–19, 2010.</p> <p>Please notice that this dataset does not replace the information provided by Matpower related to the aforementioned systems. It rather uses those systems topology and some of their parameters to build a case study to investigate Grid-Secure Use of Distributed Flexibility in Sequential DSO-TSO Markets. For the full description of these systems, please visit: <a href="https://matpower.org/">MATPOWER – Free, open-source tools for electric power system simulation and optimization</a>.</p>
Dataset for "Architectural Security Weaknesses in Industrial Control Systems: An Empirical Study Based on Security Advisories' Vulnerability Reports"
<p>Supplementary artifacts to "<em>Architectural Security Weaknesses in Industrial Control Systems (ICS): An Empirical Study based on Disclosed Software Vulnerabilities</em>"</p> <p>Published in the Proceedings from the 2019 IEEE International Conference on Software Architecture (ICSA)</p> <p>Package Contains:</p> <p>- Raw output showing Components, CAWEs, and CVEs per report</p> <p>- Frequency Data (# of reports) for those concerns</p> <p>- ICS Component - Term Dictionary </p> <p>- HTML versions of reports studied in paper</p>
Performance measurements for in-depth energy analysis of security algorithms and protocols for the Internet of Things
<p>Performance dataset of cryptographic algorithms running on the following embedded devices (results in ms):</p> <p><strong>nuc </strong>The NUCLEO-L073RZ is a STM32 Nucleo-64 Development Board of STMicroelectronics. It features the STM32L073RZT6 32~MHz ARM Cortex-M0+ microcontroller with 192~KB flash memory and 20~KB RAM.<br> <strong>msp </strong>The TI SimpleLink MSP-EXP432P401R development kit uses the MSP432P401R 48~MHz ARM Cortex-M4F microcontroller with 256~KB flash and 64~KB RAM.<br> <strong>max </strong>The MAXREFDES\#100 health sensor platform features the MAX32620 96~MHz ARM Cortex-M4F microcontroller with 2~MB flash and 256~KB RAM. It has a wide range of sensors, like a human body temperature sensor and a heart rate sensor.</p> <p>The measured cryptographic operations:</p> <ul> <li><strong>The basic arithmetic operations for elliptic curve cryptography </strong>(point addition~(PA), point doubling~(PD), point multiplication~(PM), and fixed-point multiplication~(PMG))</li> <li><strong>The AES symmetric-key cipher in five modes of operations</strong> (Electronic Codebook (ECB), Cipher Block Chaining (CBC), Counter (CTR), Counter with CBC-MAC (CCM), and Galois/Counter Mode (GCM))</li> <li><strong>Hash functions </strong>(SHA256 and SHA3-256)</li> </ul> <p>The performance of all identified basic operations is measured on the three platforms. 50 time measurements are done for each basic operation using the platforms' available timer. Moreover, the AES cipher operation is an encryption on 256 Bytes of data. We have chosen a multiple of the AES block size, because, longer time periods ensure less influence of potential timing inaccuracies like an early start and late end. For the hash function, the maximum input size of the respective algorithm for one round is chosen as follows: 55~B for SHA256 and 135~B for SHA3-256. The total available internal state size is not used for SHA256 and SHA3-256, as we take into account the minimal padding or suffix that is required for the last block of input data. Note that the most optimal scenario, i.e. the maximum amount of input data to fill up the internal state completely, is used for each of the operations.</p> <p>All basic operations are implemented using software libraries and cross-compiled with the GNU Tools for ARM Embedded Processors version 6-2017-q2-update. Furthermore, the compiler is configured to optimise for size (-Os). The RELIC-toolkit library is used to implement the EC arithmetic and the SHA256 hash function. We use the SECG K-256 prime elliptic curve, BASIC;COMBA;COMBA;MONTY;MONTY;SLIDE configuration for the prime field arithmetic, and PROJC;LWNAF;COMBS;INTER}} configuration for the prime elliptic curve arithmetic. For more information on how to configure RELIC and other examples that use it, we refer to the relic-toolkit wiki. The AES ciphers are implemented using Mbed TLS and SHA3 using wolfCrypt. We use the SHA3-256 hash function as specified in FIPS PUB 202.</p>
A Study on Organizational IT Security in Mobile Software Ecosystems Literature
<p>Information security is a key topic for most organizations. With the digital revolution, smartphones have become popular not only for personal use but also within organizations where many employees use them for business purposes. As smartphones are increasingly present in organizations, it is necessary to understand what recommendations the literature provides for the safe use of such devices, helping organizations to protect themselves from threats. ISO 27000 is a well-known standard for information security in a business context. It provides a set of controls that must be observed to ensure more secure organizational information. Therefore, the goal of this study is to identify which controls presented in ISO 27000, more specifically ISO 27001, are present in the Mobile Software Ecosystem (MSECO) literature. To do so, we conducted a systematic mapping review supplemented by a snowballing process to identify studies in the field of MSECO that have addressed any subject that is present in ISO 27001. We found that 34 out of the 114 ISO 27001 controls are covered by the MSECO literature. Also, some of the ISO sections (e.g., Asset Management) have not yet been explored in the MSECO literature. Our results can inspire future and further studies on the topic of MSECO information security.</p>
United Nations Security Council Resolutions, 1946-2019
<p>This dataset contains all Security Council resolutions from 1946-2019 in PDF format, as they are provided by the United Nations through their Official Documents System. As of 31 December 2019, the Security Council has adopted 2503 resolutions. The PDFs are provided "as is". For the purposes of automatic text analysis/corpus building, the following notes might be important, without claiming to be exhaustive: </p> <p>- each resolution is consecutively numbered (1-2503, with year in brackets) and preceded by S/RES/.</p> <p>- UN Official Documents are electronically published since 1993/1994. PDFs prior to 1994 might not be readable. </p> <p>- Documents prior to 1994 are usually provided as scanned documents without OCR. This means not only that documents would need to be optimized for automatic character recognition, it also means that the relevant pages might contain more than one document, or parts of another document than the one indicated in the document code. </p> <p>Copyright note: Security Council resolutions are part of the Security Council Official Records (SCOR) and officially issued as UN documents with an official document symbol. These documents are part of the public domain according to the United Nations, cf. ST/AI/189/Add.9/Rev.2, para. 2, lit. a) and b), available at undocs.org/ST/AI/189/Add.9/Rev.2. All Security Council resolutions are available at: https://www.un.org/securitycouncil/content/resolutions-0 (last accessed 4 December 2020).</p>
Data for "The potential of water security in leveraging Agenda 2030"
<p>Data set of the linkages that water security has on other SDGs. The data are based on literature review and final data consists of 120 publications. The linkages are graded from -3 (cancelling) to +3 (indivisible) according Nilsson et al. classification. </p> <p>Prior to data collection, all the reviewers participated in training on SDGs and water security, and on review training before the work. Only papers with a link from water security to SDGs (not vice versa) were included. The resulting subset of 170 papers was then read and evaluated by all the authors independently, with a 10% random overlap on the papers (i.e. 17 of the papers were reviewed at least twice, by different people). During this process, another 50 papers were found to be irrelevant (e.g. due to full paper inaccessibility or questionnaire analysis with no inclusion of SDGs) and were therefore eliminated. The results are thus based on the 120 reviewed papers that we found to be suitable for the analysis. See the journal paper methods for more information, and Supplementary material for author bias analysis. </p> <p>The list of paper ID's can be found rom the journal paper in One Earth. Column "Review" indicates whether the analyzed publication was a review or an original research paper.</p> <p>1_waterresources_sec = an identified linkage to the water resources dimension of the water security concept</p> <p>2_human_sec = an identified linkage to the human security dimension of the water security concept</p> <p>3_national_sec = = an identified linkage to the national security dimension of the water security concept</p> <p>4_climate_sec = an identified linkage to the climate security dimension of the water security concept</p> <p>5_energy_sec = an identified linkage to the energy security dimension of the water security concept</p> <p>6_food_sec = an identified linkage to the food security dimension of the water security concept</p> <p>sdg_counts = the total number of SDGs with reported linkage of water security</p> <p>year = publication year </p>
Vector sequences in early WIV SRA sequencing data of SARS-CoV-2 inform on a potential large-scale security breach at the beginning of the COVID-19 pandemic
<p>DESCRIPTION</p> <p>Sequences identified as Influenza A virus, Spodoptera frugiperda rhabdovirus and Nipah henipavirus have been previously identified within the early HiSeq 1000 and HiSeq 3000 sequencing data of SARS-CoV-2, SRR11092059,SRR11092060,SRR11092061 and SRR11092062, and were being used to support the hypothesis that a "simultaneous outbreak of multiple zoonotic viruses" have happened in the Huanan Seafood market. https://doi.org/10.31219/osf.io/s4td6</p> <p>However, a closer examination of these sequences revealed that they were not sequences of actual wild viruses, but were in stead fragments left behind from PCR products and cloning vectors harboring both cDNA clones and infectious clones of such viruses, with evidence of viral sequences being joined directly to DNA sequences of vector and non-human origin within the same short reads.</p> <p>Here are the vector sequences and PCR product-like sequences recovered from the earliest WIV SRA sequencing data of Human SARS-CoV-2 from dataset SRR11092059,SRR11092060,SRR11092061,SRR11092062.</p> <p>Sequences associated with Vectors and PCR products from 3 distinct viral species have been obtained: The 3'-end of a Nipah Henipahvirus with fusion to a Hepatitis D virus Ribozyme, a T7 terminator and a Tetracycline resistance gene, The 5'-end of the same Nipah Henipahvirus with fusion to sequences found in diverse vectors, A complete vector genome encoding the HA gene of Influenza A virus subtype H7N9 under a CMV promoter and a bgH polyA terminator, and 221 Contiguous sequences corresponding to the Spodoptera frugiperda rhabdovirus reference genome fused to sequences that were homologous to multiple Plastid sequences and Notably Mitochondrial sequences of Rodents.</p> <p>As sequences corresponding to a rescued infectious clone of a BSL-4 organism (Nipah Henipahvirus) were found in sample sequences that supposedy represents patient samples that were obtained from Hospital ICU and sequenced in a pathogen diagnosis laboratory (which is separate from the Virology Research laboratory which is implied by the context of an Infectious Clone of such an organism, evident by the 3'-HDV ribozyme and T7 terminator fused directly to the 3'-terminus of the Nipah Henipahvirus reads), The discovery of artifact-containing sequences of at least 3 different pathogen species that are phylogenetically and methodologically distinct from each other in samples that were supposedly submitted by a laboratory that is Separate from the virological research laboratories that could have hosted such clone sequences imply extensive crosstalk and cross-contamination between the various laboratories within the Wuhan Institute of Virology, which includes at least one BSL-4 laboratory with evidence of containment breach of a BSL-4 organism and it's subsequent introduction into RNA-seq samples that were processed by a laboratory of distinct and separate purposes than the basic virological research evidenced by the Infectious Clone of the Hipah Henipahvirus.</p> <p>Such a discovery therefore likely imply a major security breach happening within the Wuhan institute of Virology at the time when the first sequences of SARS-CoV-2 was sampled and sequenced, which have important implications on the origins of the SARS-CoV-2 virus itself.</p> <p>METHODS</p> <p>The metagenomic sequencing datasets, SRR11092059,SRR11092060,SRR11092061 and SRR11092062 were first analyzed using the NCBI phylogenetic analysis tool, which identified viral sequences that is not related to SARS-CoV-2 itself. These include Influenza A virus (IAV, subtype H7N9), Spodoptera frugiperda rhabdovirus and Nipah Henipahvirus.</p> <p>The datasets were then subjected to BLAST search using MEGABLAST against the reference sequences of such viruses to verify the existence of the viral sequences and determine the exact sybtype of such viruses and the closest sequences on GenBank that corresponds to the reads. There seuqences are MH926031.1 for the Spodoptera frugiperda rhabdovirus, KY199425.1 for the Influenza A virus and AY988601.1 for the Nipah Henipahvirus.</p> <p>A second round BLAST analysis with these identified sequences were then performed, which unexpectedly revealed numerous reads corresponding to Cloning vectors and non-human Mitochondrial and Plastid sequences being fused directly to the sequences of the identified viral species. Reads were then downloaded and subjected to assembly using the CAP3 sequence assembly program and the EGASSEMBLER tool. Contig sequences were then queried against the NCBI nr/nt database which unanimously identified the original sample sequences as viral sequences inserted into cloning vectors.</p> <p>The complete sequence of the Influenza A virus Haemagluttinin (HA) gene clone was obtained from SRR11092061,SRR11092062 using multiple rounds of BLAST search and sequence assembly expansion on the existing vector-virus junction contigs, and a partial sequence corresponding the 3'-end of Nipah Henipahvirus AY988601.1 fused to a 3'-HDV ribozyme, T7 terminator and a Tet resistance gene was obtained from SRR11092059. In addition, 221 Contig sequences corresponding to the Rhabdovirus MH926031.1 fused to Chloroplast sequence MN524635.1 and Rodent Mitochondrial sequence MT241668.1 have been recovered from SRR11092061.</p> <p>We then performed a BLAST search using the identified vector sequences on SRR11092059,SRR11092060,SRR11092061 and SRR11092062, which confirms the existence of these two vetor sequences in all 4 datasets.</p>
Direct Visualization of Cryptographic Keys for Enhanced Security - Supplementary files
<p>Supplementary files showing</p> <ul> <li>Visualization of keys only with lines;</li> <li>Visualization of keys only using ellipses;</li> <li>Visualization of keys and hashes using ellipses;</li> <li>A synthetic example for key spoofing.</li> </ul> <p><em>Title: </em>Direct Visualization of Cryptographic Keys for Enhanced Security<br> <em>Author: </em>Oleg Lobachev<br> <em>Affiliation: </em>Visual Computing, University Bayreuth, Universitätsstr. 30, 95440 Bayreuth, Germany<br> <em>Email: </em>oleg.lobachev@uni-bayreuth.de<br> <em>Web: </em>https://orcid.org/0000-0002-7193-6258, https://www.researchgate.net/profile/Oleg_Lobachev<br> <em>Journal: </em>The Visual Computer</p>
Dataset and Analysis Scripts for Survey "Understanding Security Tactics in Microservice APIs using Annotated Software Architecture Decomposition Models -- A Controlled Experiment"
<pre>Dataset, R-Scripts and questionnaire templates for our survey <em>Understanding Security Tactics in Microservice APIs using Annotated Software Architecture Decomposition Models -- A Controlled Experiment.</em></pre>
Replication Data for the paper "Predicting Food-Security Crises in the Horn of Africa Using Machine Learning"
<p>This folder contains all input data necessary to run the machine learning model as described in the paper "Predicting Food Security Crises in the Horn of Africa Using Machine Learning". </p><p>This model is developed at the Institute for Environmental Studies, Vrije Universiteit Amsterdam. </p><p>Questions or remarks can be send to tim.busker@vu.nl</p>
Designing a Training Journey for Privacy and Information Security Practitioners in the Federal Public Administration
<p> Context : The Ministry of Management and Innovation in Public Services (MGI) leads the formulation and coordination of the Digital Government Strategy (EGD). DEPSI, under the Secretariat of Digital Government (SGD), is responsible for the Privacy and Information Security Program (PPSI), which aims at data privacy, compliance, and institutional resilience. Problem: The culture of privacy and information security in the Federal Public Administration faces development challenges. Despite the PPSI, there is a lack of awareness initiatives, training, a clear strategy, best practices, and performance indicators. Proposed Solution: The proposal aims to develop a training journey for Practitioners working in roles related to privacy and information security, with the goal of identifying and promoting the best practices, skills, and competencies required for these roles. IS Theory: This study aligns with Organizational Information Processing Theory, providing mechanisms to help organizations adapt to regulatory uncertainties in privacy and security. Method: We employed a mixed approach, combining document analysis, a literature review, and a survey. Guidelines and standards were analyzed to map competencies and responsibilities, while the survey gathered practitioners' perceptions of the proposed training journey. Summary of Results: We identified the key profiles and their corresponding responsibilities, and proposed a personalized training journey. Survey results indicated that the journey meets Practitioners’ expectations, being well-evaluated in terms of criteria and assigned weights. Contributions and Impact in IS: This work contributes by presenting a proposal for a Training Journey to assess the knowledge of Federal Public Administration employees and guide them on the best paths for professional development. </p>
Global and regional health and food security under strict conservation scenarios.
<p>Data supporting Nature Sustainability paper 'Global and regional health and food security under strict conservation scenarios'. Zipped folder contains LandSyMM output used to generate results. The tif files are the biodiversity prioritisation areas used in the 50% and 30% strict protection scenarios generated as per the methods in Jung, M., Arnell, A., de Lamo, X. <em>et al.</em> Areas of global importance for conserving terrestrial biodiversity, carbon and water. <em>Nat Ecol Evol</em> <strong>5, </strong>1499–1509 (2021). https://doi.org/10.1038/s41559-021-01528-7. </p>
Model output data and figures' code for Fujimori & Wu et al., Land-based climate change mitigation measures can affect agricultural markets and food security
<p>Model output data and figures' code for "Fujimori & Wu et al., Land-based climate change mitigation measures can affect agricultural markets and food security" in Nature Food (DOI: 10.1038/s43016-022-00464-4)</p>
c dataset with security property
<p>C/C++ dataset with security property</p> <p>a sample C/C++ dataset with security property based on MSR_20_Code_vulnerability_CSV_Dataset</p>
Artifact: "If security is required": Engineering and Security Practices for Machine Learning-based IoT Devices
<p>Artifact for "If security is required": Engineering and Security Practices for Machine Learning-based IoT Devices</p>
Realistic soil carbon sequestration considering food security and climate change
<p>This dataset contains soil organic carbon stocks as described in Keel et al. Global Change Biology (submitted)</p> <p>Annual soil organic carbon (SOC) stocks (t C ha-1, 0-30 cm depth) of Swiss agricultural soils simulated with the model RothC for the years 2020-2100. Simulations were performed for 240 strata (regions with similar agricultural production types, climatic conditions and clay content). The SOC stocks are weighted averages across strata for the national scale. <br> Each column contains SOC stocks for a specific combination of a climate model chains (nine in total) and an emission scenario (three in total: RCP 26, RCP 45, RCP 85) (specified in column header). </p> <p>The results include simulated SOC stocks for a baseline scenario and five soil carbon sequestration (SCS) scenarios (cover crops, biochar amendment at two rates, biochar amendment based on biomass from two agroforestry scenarios). <br> The SCS scenarios were only performed on cropland, therefore there is only a single file for grassland (the baseline scenario). <br> All simulations (i.e. baseline as well as the five scenarios) account for changes in crop shares and organic matter additions associated with growing food demand as well as climate change. </p> <p>The scenarios are described in Keel et al. Global Change Biology (submitted)</p> <p>CL_baseline: Baseline scenario for cropland (CL) <br> GL_baseline: Baseline scenario for permanent grassland (GL)<br> CL_cover_crops: Cover crop scenario for cropland <br> CL_biochar_I: Biochar I scenario for cropland <br> CL_biochar_II: Biochar II scenario for cropland <br> CL_agroforestry_I: Agroforestry I scenario for cropland <br> CL_agroforestry_II: Agroforestry II scenario for cropland </p>
Contact tracing solutions for COVID-19: applications, data privacy and security :: Suplementary Material
<p>Supplementary Material for the paper "Contact tracing solutions for COVID-19: applications, data privacy and security"</p>
Microservice Security Metrics: Dataset
<p>This is the dataset provided for replicability for the article "Microservice Security Metrics for Secure Communication, Identity Management, and Observability". It provides the code needed to replicate the study in the article, as well as the model data set of 10 system models and 20 variants of those models.</p> <p> </p> <p>The abstract of the article is:</p> <p> </p> <p>Microservice architectures are increasingly being used to develop application systems. Despite many guidelines and best practices being published, architecting microservice systems for security is challenging. Reasons are the size and complexity of microservice systems, their polyglot nature, and the demand for the continuous evolution of these systems. In this context, to manually validate that security architecture tactics are employed as intended throughout the system is a time-consuming and error-prone task. In this article, we present an approach to avoid such manual validation before each continuous evolution step in a microservice system, which we demonstrate using three widely used categories of security tactics: secure communication, identity management, and observability. Our approach is based on a review of existing security guidelines, the gray literature, and the scientific literature, from which we derived Architectural Design Decisions (ADDs) with the found security tactics as decision options. In our approach, we propose novel detectors to detect these decision options automatically and formally defined metrics to measure the conformance of a system to the different options of the ADDs. We apply the approach on a case study data set of 10 open source microservice systems, plus another 20 variants of these systems, for which we manually inspected the source code for security tactics. We demonstrate and assess the validity and appropriateness of our metrics by performing an assessment of their conformance to the ADDs in our systems' dataset through statistical methods.</p>
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.