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32 results for “living labs”

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zenodo48/100

Living Lab Station data Jun-Oct 2019, Sutherland Memorial Park, Guildford

<p>The data collected before and after hedge in Sutherland Memorial Park, Guildford using Living lab station during Jun-Oct 2019.&nbsp;</p>

opencc-by-4.0Jan 2020View details →
zenodo48/100

Resident survey data for Living Lab regions

<p>The datasets present collected data through resident surveys on the perceptions on tourism development and the state of cultural heritage, as part of the Horizon 2020 funded project SmartCulTour (<a href="http://www.smartcultour.eu">www.smartcultour.eu</a>).</p> <p>The data is collected <strong>on individual respondent level</strong> for Local Administrative Units (LAUs) for the following municipalities/cities:</p> <ul> <li>Spain: Huesca, Graus, Benasque, Barbastro, Ainsa, Jaca, Sari&ntilde;ena</li> <li>the Netherlands: Rotterdam, Dordrecht, Molenlanden, Ridderkerk, Zwijndrecht, Barendrecht, Delft</li> <li>Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek</li> <li>Croatia: Split, Trogir, Ka&scaron;tela, Solin, Sinj, Dugopolje, Klis</li> <li>Finland: Utsjoki</li> <li>Italy: Vicenza, Caldogno, Grumolo, Pojana Maggiore, Lonigo, Montagnana</li> </ul> <p>The data is presented as cross-sectional data and available for the following <strong>year</strong>: 2020.</p> <p>Please consult the <strong>metadata</strong> on each dataset for an overview of collected indicators and units of measurement.</p>

opencc-by-4.0Jun 2021View details →
zenodo44/100

Living Lab Station data Feb-Sept 2019, Stoke Park, Guildford

<p>Data collected before and after hedges in Stoke Park, Guildford using Living lab stations.</p>

opencc-by-4.0Jan 2020View details →
zenodo44/100

LEAD Madrid Living Lab Open Data

<p>December 2021 to May 2023 monthly list of all services used to conduct daily route optimization, calculate energy consumption, and calculate environmental KPIs in the project.</p>

opencc-by-4.0Oct 2023View details →
zenodo44/100

Survey data on behaviours and attitudes towards green food consumption of participants of the SmartFood Urban Living Lab in Warsaw, Poland

<p>In this dataset, we present raw data of a survey on behaviours and attitudes towards green food consumption, conducted between June 2023 and April 2024 among a group of 21 households from Warsaw, participating in a SmartFood Urban Living Lab (ULL). The dataset is complemented with results collected from two control groups. The SmartFood Urban Living Lab was an intervention aimed at providing residents of urban blocks of flats with a novel technology for growing their own food. The ULL served as an experimental ground for testing and refining innovations such as hydroponic cabins, rainwater management systems, solar energy systems, and insect farming units. Residents actively participated in the lab, providing valuable insights into the practical challenges and benefits of urban farming, which helped refine and adapt the technologies for broader application. After each month of the intervention, a survey was conducted to check participants' behaviours and attitudes towards green food consumption</p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

ENERGISE Living Lab country report - Denmark

<p>The Danish ELLs were conducted in Roskilde, where ELL1 was situated in Viby Sj&aelig;lland, and ELL2 was situated in Trekroner. In ELL1 18 participants were involved, and in ELL2 20 participants were involved. In ELL1, participants mainly lived in detached, privately owned houses, where as participants in ELL2 primarily lived in privately owned terraced hoses. The buildings in ELL1 are older than the buildings in ELL2, and the houses in ELL2 are slightly smaller than the houses in ELL1. There is a mix of household sizes and compositions in each ELL, where the average age of participants in ELL1 is slightly older than the average age of ELL2 participants. ELL1 can be considered a community of place, whereas ELL2 can be considered a community of interest, as ELL2 participants consider themselves to community-builders and to be slightly greener than the average population. This is, however, not necessarily so, as this report will also demonstrate.</p>

opencc-by-4.0Jul 2019View details →
zenodo44/100

ENERGISE Living Lab country report _ Netherlands

<p>ENERGISE Living Labs (ELLs) employ practice-based approaches to reduce energy use in households while co-creating knowledge on why energy-intensive practices are performed and how they depend on the context in which they are performed. Altogether 16 living labs were implemented in eight European countries in 2018.</p> <p><br> The Dutch ELLs were led by the ENERGISE team from Maastricht University, in Maastricht in the Netherlands. The ENERGISE Living Labs were implemented in the Southern most province in the Netherlands, Limburg &ndash; in two municipalities. Maastricht for ELL1 and Roermond for ELL2, the community-based ELL. Participants were recruited with the help of a local implementation partner Op het Zuiden.</p>

opencc-by-4.0Nov 2019View details →
zenodo44/100

ROADMAP Technical Abstract Video: The Living Labs

<p>The Living Labs are one of the pillars of the ROADMAP project, which is focused on the responsible use and reduction of antimicrobials in livestock production. In this video, you will have the chance to get to know better how a Living Lab works, its importance in the process of getting awareness of AMU (antimicrobial use) and how tools are given to farmers in order to implement good practices, recommendations and acknowledging other ways of improving animal health and welfare.</p> <p>Watch the video here:&nbsp;https://youtu.be/afXe1eHX2lM</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Videos for: Greening the dike revetment with historic sod transplantation technique in a Living Lab

<p>Videos belonging to the publication:&nbsp;<br>Van den Hoven et al., Greening the dike revetment with historic sod transplantation technique in a Living Lab.&nbsp;<br>In: Journal of Flood Risk Management.&nbsp;<br>DOI:10.1111/jfr3.12968</p> <p>Video 1 Sods transplantation<br>Video 2 Impression of sod pulling method<br>Video 3 Impression of wave impact simulation<br>Video 4 Impression of overflow simulation</p>

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

OpenDRIVE dataset of 5G Living Lab research track in Wolfsburg

<p>This OpenDRIVE dataset models a road network excerpt of the city of Wolfsburg, Lower Saxony, Germany. Main application scopes of this OpenDRIVE data are in the domain of automated driving: simulation, verification and validation. The data has been acquired in context of the research project <a href="https://verkehrsforschung.dlr.de/en/projekte/5g-reallabor">5G Living Lab in the Mobility Region Braunschweig-Wolfsburg</a>.</p>

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

RES Living Labs Operational Plan

<p>This document aims to provide a solid operating structure for the interaction between the PROSEU team members and the Living Lab. It establishes a set of common goals, clarifies roles and responsibilities between the PROSEU Focal Point and the Living Lab Focal Point and outlines a clear timeline for the activities to be carried out.&nbsp;</p>

opencc-by-4.0May 2019View details →
zenodo40/100

ENERGISE Living Lab Country Report - Switzerland

<p>In Switzerland, the two ENERGISE Living Labs (ELLs) took place in the City and Canton of Geneva, in the French-speaking region of the country. The first Living Lab (ELL1) included 20 households with diverse profiles, from one- and two-person households to families with two or three children, and with participants of all age groups. A large majority of them lived in multi-family houses or larger apartment buildings, reflecting the housing situation in Switzerland. The second Living Lab (ELL2) was organised in a community of place, a housing cooperative located in the Geneva city center. The participants&#39; profile was also varied in terms of age group and type of households.</p>

opencc-by-4.0Jul 2019View details →
zenodo40/100

ENERGISE Living Lab Country Report - Hungary

<p>The ENERGISE Living Labs in Hungary were located in the town of G&ouml;d&ouml;llő in Central Hungary in order to provide a better opportunity to make comparisons between the individual (ELL1) and the community or group approach (ELL2). Thus, while an attempt was made to recruit a socio-economically diverse group of participants, the two ELLs had a similar make-up in terms of household types. The final number of households participating in the ENERGISE Living Labs in Hungary was 41. Out of this number 21 participated in ELL1 and 20 in ELL2. It is notable that all 41 households remained engaged in the ELLs up until the end. This report provides a summary of the qualitative and quantitative data as well as a country-level analysis of outcomes.</p>

opencc-by-4.0Jul 2019View details →
zenodo40/100

ENERGISE Living Lab country report - United Kingdom

<p>This national country report describes the two living labs run in the United Kingdom for the pan-European ENERGISE (European Network for Research, Good Practice and Innovation for Sustainable Energy) project funded by the European Commission Horizon 2020 framework programme for 36 months (December 2016 - November 2019). The report discusses the main findings arising from the living labs. It also considers some of the implications for policy-making and future research of the project.</p>

opencc-by-4.0Jul 2019View details →
zenodo40/100

ENERGISE Living Lab country report - Finland

<p>ENERGISE Living Labs (ELLs) employ practice-based approaches to reduce energy use in households while co-creating knowledge on why energy-intensive practices are performed and how they depend on the context in which they are performed. Altogether 16 living labs were implemented in eight European countries in 2018.</p> <p>The Finnish ELLs were implemented in two different sites. ELL1 for individual households took place in a Porvoo region, about 50 kilometres from Helsinki and engaged 19 households living mainly in single-family homes. ELL2 (with collective elements) was implemented in Merihaka, urban district close to Helsinki city centre, and 18 households living in apartment buildings in Merihaka joined the ELL challenges and community activities.</p>

opencc-by-4.0Jul 2019View details →
zenodo40/100

ENERGISE Living Lab country report - Ireland

<p>ENERGISE Living Labs (ELLs) employ practice-based approaches to reduce energy use in households while co-creating knowledge on why energy-intensive practices are performed and how they depend on the context in which they are performed. Altogether 16 living labs were implemented in eight European countries in 2018.</p> <p>The Irish ELLs were led by the ENERGISE team from the National University of Ireland Galway (NUIG). The ENERGISE Living Labs were implemented in one county (Tipperary) in the midlands of Ireland, approximately 150 kilometres from Galway City.</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

ENERGISE LIVING LAB COUNTRY REPORT – GERMANY

<p>The German ENERGISE living labs were rolled out by the LMU ENERGISE team to 40 participant households over the course of eight months from August 2018 to April 2019 in the Oberland region of Bavaria. During that time, over the course of a number of interviews and surveys households in and around the towns of Weilheim (ELL1) and Murnau (ELL2) were asked to do a thorough examination of their practices in the areas of heating and laundry with a specific focus on trying to encourage households to reduce the energy use associated with those practices by means of finding sufficiency focused strategies to enable them to heat less and launder less.</p>

opencc-by-4.0Jun 2019View details →
zenodo40/100

Data for: Greening the dike revetment with historic sod transplantation technique in a Living Lab.

<p>Data from an <em>in-situ</em> experiment on a dike in&nbsp;Living Lab Hedwige Prosperpolder. In the experiment we applied a historic sod transplantation technique. We tested the erosion resistance of the adapted vegetated dike revetment after one growth season.&nbsp;<br><br>Dataset contains measurements in sods plot S1, S2, S3, S4 and in reference plots R1-R4. In addition, two section were only milled (K1 and F). These sections are not described in the publication, however some data is available and thus included in this dataset.&nbsp;</p> <p>This dataset contains files from the following research&nbsp;steps:&nbsp;</p> <p>1.&nbsp;&nbsp; &nbsp;Visual observation (vegetation)<br>2.&nbsp;&nbsp; &nbsp;Soil moisture content &amp;&nbsp;Soil penetration resistance&nbsp;<br>3.&nbsp;&nbsp; &nbsp;Root indication (doorwortelling)<br>4.&nbsp;&nbsp; &nbsp;Sod pulling method (grastrek proef)<br>5.&nbsp;&nbsp; &nbsp;Wave impact test (golfklap proef) &amp;&nbsp;Overflow test (overloop proef)</p> <p>The data is described in the following publication:</p> <p>Kim van den Hoven, K., Grashof-Bokdam, C.J., Slim, P.A., Wentholt, L., Peeters, P., Depreiter, D., Koelewijn, A.R., Stoorvogel, M.M., van den Berg, M., Kroeze, C., van Loon-Steensma, J.M. (2024) Greening the dike revetment with historic sod transplantation technique in a Living Lab. Journal of Flood Risk Management. DOI:10.1111/jfr3.12968</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

Summative evaluation of LIVE IT co-labs

<p>A report providing an overview of the co-labs procedures, data and results during the LIVE IT. Aggregated raw data is also included.</p>

opencc-by-4.0Oct 2022View details →
zenodo32/100

Key SOILL actions to consider for proposals when setting up Soil Health Living Labs (SHLLs) & Lighthouses (LHs)

<p>The infographic "Key SOILL Actions to Consider for Proposals When Setting Up Soil Health Living Labs (SHLLs) &amp; Lighthouses (LHs)" provides a strategic overview for potential applicants to the Horizon Europe topics funding the establishement of the Soil Health Living Labs on the essential activities and commitments required for effective participation in the SOILL, the EU-funded Support Structure for the Soil Health Living Labs and Lighthouses. Designed in response to a need highlighted by the key stakeholders, this visual guide ensures that applicants consider the necessary time and budget for involvement in SOILL events, training, and collaborative efforts. The infographic categorises actions into in-person, in-person/online, and online-only engagements, offering a clear understanding for integrating these elements into the proposals. This tool has been realised with aim to fulfil the SOILL and NATI00NS project's missions, aiding in the preparation and alignment of SHLL/LH proposals with SOILL's overarching goals.</p>

opencc-by-nc-nd-4.0Aug 2024View details →

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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