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.

400

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

400 results for “trust”

Learn how ShareScore rates datasets ↗
dryad40/100

Data from: Building trust takes time: Limits to arbitrage for blockchain-based assets

Open the record for dataset details and reuse information.

publicJan 2024View details →
zenodo36/100

Data Sets: An Assessment of Water Trusts: Drinking Water Quality and Provision in Six Low-income, Peri-urban Communities of Lusaka, Zambia

<p>Data set associated with the manuscript published in GeoHealth titled&nbsp;An Assessment of Water Trusts: Drinking Water Quality and Provision in Six Low-income, Peri-urban Communities of Lusaka, Zambia. This includes bacterial, nitrate, specific conductance, and Water Trust survey data collected from Lusaka, Zambia in 2013, 2014, 2016, an 2019.</p>

opencc-by-4.0Nov 2020View details →
zenodo36/100

Dataset for: Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes

<p>The dataset used to generate graphs for: Matthew Bradbury, Arshad Jhumka and Tim Watson. Trust Assessment in 32 KiB of RAM: Multi-application Trust-based Task Offloading for Resource-constrained IoT Nodes.&nbsp; Proceedings of the Symposium on Applied Computing, ACM, 2021, 1-10.</p> <p>Also includes instructions for experiment setup.</p> <p>Scripts from https://github.com/MBradbury/iot-trust-task-alloc are required to analyse and graph these results.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

TRUST Coalition - Slightly Dystopian Demo

<p>A video showcasing a demo built to demonstrate the potential &#39;slightly dystopian&#39; uses of the data made publicly available through the CityIQ streetlight API, as implemented in San Diego.</p>

opencc-by-4.0Feb 2020View details →
zenodo36/100

In COM We Trust: Feasibility of USB-Based Event Marking - Dataset

<p>Dataset collected and analyzed for the publication &quot;In COM We Trust: Feasibility of USB-Based Event Marking&quot; by Stefan Appelhoff and Tristan Stenner. See README.txt file for further information.</p>

openodc-odblJan 2021View details →
dryad36/100

A before/after intervention study to determine impact on life cycle carbon footprint of converting from single-use to reusable sharps containers in 40 United Kingdom NHS Trusts

<p>The purpose of this study was t<span>o compare Global Warming Potential (GWP) of hospitals converting from single-use to reusable sharps containers (SSC, RSC). Does conversion to RSC result in GWP reduction? </span><span>Using BS PAS 2050:2011 principles, a retrospective, before/after intervention quantitative model together with a purpose-designed, attributional "cradle-to-grave" life cycle tool, were used to determine the annual GHG emissions of the two sharps containment systems. Functional unit was total fill-line litres (FLL) of sharps containers needed to dispose of sharps for one-year period in 40 trusts. Scope 1, 2 and 3 emissions were included. Results were workload-normalised using NHS national hospital patient-workload indicators. A sensitivity analysis examined areas of data variability.</span></p> <p><span><b>Setting</b>. Acute-care hospital trusts in United Kingdom.</span></p> <p><span><b>Participants</b>. 40 NHS hospital Trusts using RSC.</span></p> <p><span><b>Intervention</b>. <span>Conversion from SSC to RSC. SSC and RSC usage details in </span><span>17 base-line trusts immediately prior to 2018 were applied to the RSC usage details of the 40 trusts using RSC in 2019</span><span>.</span></span></p> <p><span><span>The comparison of GWP </span>calculated in carbon dioxide equivalents (CO<sub>2</sub>e)<span> generated in the manufacture, transport, service and disposal of</span> 12 months, hospital-wide usage of both containment systems in the 40 trusts. </span><span>The 40 trusts converting to RSC reduced their combined annual GWP by 3267.4 tonnes CO<sub>2</sub>e (-83.9%); eliminated incineration of 900.8 tonnes of plastic; eliminated disposal/recycling of 132.5 tonnes of cardboard; and reduced container exchanges by 61.1%. GHG as kg CO<sub>2</sub>e/1000 FLL were 313.0 and 50.7 for SSC and RSC systems respectively. A sensitivity analysis showed substantial GHG reductions within unit processes could be achieved, however their impact on relevant final GWP comparison varied &lt;5% from base comparison.</span> Adopting RSC is an example of a sustainable purchasing decision that can assist trusts meet NHS GHG reduction targets and can reduce GWP permanently with minimal staff behaviour-change.</p>

opencc-zeroAug 2021View details →
zenodo36/100

Kinver Edge Rock, National Trust

Taken while on a trip to the National Trust location and the glaring eyes of "are you really scanning again while on a day out" so the model is pretty rough. Reconstructed using around 300 photos on a Samsung Galay S20 Plus camera and processed in Metashape in July 2020. It was quite busy there so a bunch of images have people in the background hence the odd colour blobs in places and the some missing patches. Overall not too bad for a "walk and constantly pressing take picture button" job. Source: Objaverse 1.0 / Sketchfab

opencc-byJul 2020View details →
zenodo36/100

Data for Secure communication in IP-based wireless sensor networks via a trusted gateway publication

<p>This archive file contains the raw data obtained from Contiki sensor nodes during Cooja experiments in the folders e2e, terminate, terminate_1st and plaintext.</p> <p>The archive accompagnies the IEEE ISSNIP 2015 publication titled &quot;Secure communication in IP-based wireless sensor networks via a trusted gateway&quot; by Floris Van den Abeele, Tom Vandewinckele, Jeroen Hoebeke, Ingrid Moerman and Piet Demeester.</p> <p><br /> Also included is the data_parser python script that converts the raw data into CSV files that are parseable by R. The script contains the definitions of the contents of the raw data files.<br /> Finally, the R scripts that use the CSV files to generate the plots from the paper are also included.</p>

opencc-zeroFeb 2015View details →
zenodo36/100

Development Trust Association Scotland, 2016

<p>This data set was produced by Jeremy Kidwell as a part of a research project “Finding Common Ground” that was jointly funded by the AHRC/ESRC (Grant Ref: AH/P005063/1) and based jointly at the University of Edinburgh and the University of Birmingham. The data is available for academic use under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. For full details, see: http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode. The set was produced in collaboration with several members of DTAS staff including Ian Cooke, Catherine Dougan and Katrina McKinlay and is based on all projects registered with the Development Trust Association Scotland as of 27 October 2016. Full details of data collection methods and descriptions of fields included can be found in dtas_3.2-readme.txt. The data set is provided in three different formats, each of which contain locations as WGS84 coordinates: CSV, geoJSON and ESRI shapefile.</p>

opencc-by-nc-4.0Dec 2016View details →
zenodo36/100

Can We Trust AI Agents? - Supplementary Material

<p>This is the supplementary material of our paper entitled Can We Trust AI Agents? An Experimental Study Towards Trustworthy LLM-Based Multi-Agent Systems for AI Ethics. Published in TETHICS 2025, Conference on Technology Ethics, Vaasa, Finland, 11-12 November 2025.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Data Associated with Manuscript Titled "Conflicted Emotions Following Trust-Based Interaction"

<p>This is a&nbsp;dataset used&nbsp;in analyses of trust-based interaction behavior and emotional reactions described and interpreted in the associated manuscript&nbsp;titled "Conflicted Emotions Following Trust-Based Interaction".</p>

opencc-by-4.0Nov 2023View details →
dryad36/100

Data from: Community Credit Photovoice project on trust in consumer financial services

<p>The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted a five-week photovoice workshop exploring participants' economic lives and experiences with consumer financial services. Photovoice is a community-based participatory research method in which participants narrate and analyze their lived experiences using photography. This data set contains the transcripts from the photovoice sessions after excluding any personally identifying data.</p> <p>All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>

opencc-zeroDec 2023View details →
dryad36/100

Data from: Community Credit interviews on trust in consumer financial services

<p>The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted 30 semi-structured interviews exploring people's everyday financial practices and their attitudes toward consumer financial services providers. This data set contains the transcripts from the interviews after excluding any personally identifying data.</p> <p>All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>

opencc-zeroDec 2023View details →
zenodo36/100

York Museums Trust: Funeral Biscuit mould

Dr Phil Cox at Department of Archaeology at the University of York created a model of a Victorian funeral biscuit (cookie) mould held by the York Museums Trust. This model of a biscuit mould was then 3D printed and used to make actual biscuits for the York Death and Culture Walk. The original was too fragile to use. The biscuits were delicious! Source: Objaverse 1.0 / Sketchfab

opencc-byMar 2019View details →
zenodo36/100

Figure 7 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)

Figure 7 – Gretna carmen capra ♂ habitus. Dorsal (A), ventral (B). Scale bar = 1cm.

opencc-by-4.0Jun 2022View details →
zenodo36/100

Figure 6 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)

Figure 6 – Acraea nohara halali ♂ habitus. Dorsal (A), ventral (B). Scale bar = 1cm.

opencc-by-4.0Jun 2022View details →
zenodo36/100

Figure 5 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)

Figure 5 – Iolaus lulua ♂ habitus. Dorsal (A), ventral (B). Scale bar = 1cm

opencc-by-4.0Jun 2022View details →
zenodo36/100

Figure 4 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)

Figure 4 – Deloneura millari ♂ habitus. Dorsal (A), ventral (B). Scale bar = 1cm

opencc-by-4.0Jun 2022View details →
zenodo36/100

Figure 2 in A contribution to the knowledge of the butterfly fauna of Maputo Special Reserve, Mozambique from African Natural History Research Trust expeditions (Papilionoidea)

Figure 2 – Afrogegenes letterstedti ♀ habitus. Dorsal (A), ventral (B). Scale bar = 1cm.

opencc-by-4.0Jun 2022View details →
zenodo36/100

The effect of ethical leadership on organizational outcomes in the hospitality industry: the mediating role of trust and emotional exhaustion

<p>SPSS dataset for the paper: &quot;The effect of ethical leadership on organizational outcomes in the hospitality industry: the mediating role of trust and emotional exhaustion&quot;.</p>

opencc-by-4.0Nov 2021View 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