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.
5,481
datasets available to search
ShareScore release 0.7.1
Dataset results
5,481 results for “people”
Kulango People Ceremonial Dance Mask
This face mask comes from the Ivory Coast. It has two large, wing-like projections. It is made of carved wood with a rich red-brown and dark brown patina. There are holes in the perimeter for attaching to a face, and shows evidence of being used. Source: Objaverse 1.0 / Sketchfab
Extended data for behavioural change for Parkinson's disease: A randomised controlled feasibility study to promote physical activity and exercise adherence among people with Parkinson's, study protocol
<p><strong>Background: </strong>Parkinson's is a common progressive neurological condition characterized by motor and non-motor deficits. Physical activity and exercise can improve health, but many people with Parkinson's have trouble reaching the recommended dosage. Our recent literature review found improvements in exercise adherence with behavioural change interventions, but it remains unclear which are most effective. Further qualitative research and patient and public involvement has informed a novel behavioural change support intervention to be tested alongside an existing exercise program.<strong> </strong></p> <p><strong>Objective: </strong>To examine the feasibility of behavioural change support techniques delivered alongside an exercise programme to improve physical activity, function, and self-efficacy in PwP (and study procedures) to inform a future pilot RCT trial.<strong> </strong></p> <p><strong>Methods: </strong>A parallel-arm single blinded randomised feasibility study. Twenty participants with Parkinson's (Hoehn and Yahr stage 1-3) will be recruited from a physiotherapy primary-care waiting list. Following written consent, and baseline assessment, the participants will be randomly allocated to the intervention (n=10) or the control group (n=10). Both groups will receive usual care, which includes a weekly program of a multidisciplinary education, a supervised exercise class and a prescribed home exercise program. The intervention group will receive additional behavioural change techniques, targeting behaviour regulation, belief about capabilities and social influences. Class and home exercise adherence, behavioural component uptake and adherence, and negative events will be recorded. Outcomes will include enrolment and maintenance rates, physical function, falls, physical activity, and exercise self-efficacy measured pre- and post- the 12- week program (in-person). Surveys will be used to compare experiences and satisfaction between groups. Exit interviews will be completed with the intervention group only, exploring their experience of the behavioural change techniques. </p> <p><strong>Discussion: </strong>The results will help inform a future pilot RCT, based on the intervention acceptability, consent rate, maintenance, and protocol integrity.</p>
Data and code associated with the publication "Emotional states elicited by wolf videos are diverse and explain general attitudes towards wolves", Arbieu et al., People and Nature 2024
<p>This folder contains the data and R scripts needed to replicate the analysis of the publication entitled "<span>Emotional states elicited by wolf videos are diverse and explain general attitudes towards wolves". <span>This dataset represents a social survey in rural populations of 24 randomly selected cities in France (n=795) to (i) quantify emotional diversity and (ii)<span> test the relationship between emotional states and attitudes towards wolves, accounting for individual and regional factors. <span>All </span>data were collected between November 2018 and May 2019. </span></span></span></p>
Antibodies to Borrelia burgdorferi and Bartonella species in serum and synovial fluid from people with rheumatic diseases
<p>Vector-borne infections may underlie some rheumatic diseases, particularly in people with joint effusions. The aim of this study was to compare serum and synovial fluid antibodies to<em> B. burgdorferi </em>and <em>Bartonella </em>spp. in patients with rheumatic diseases.</p> <p>This observational, cross-sectional study examined paired synovial fluid and serum specimens collected from 110 patients with joint effusion between October 2017 and January 2022. Testing for antibodies to <em>B. burgdorferi </em>(using CDC criteria) and <em>Bartonella </em>spp. via two Indirect Fluorescent Antibody [IFA] assays, was performed as part of routine patient care.</p> <p>There were 30 participants (27%) with positive two-tier <em>B. burgdorferi</em> serology, and 26 participants (24%) with IFA seroreactivity (≥1:256) to <em>B. henselae </em>and/or <em>B. quintana. </em>Both <em>B. burgdorferi</em> IgM and IgG were detected more frequently in synovial fluid than serum: 27% of patients were either IgM or IgG positive in synovial fluid, compared to 15.5% in serum (p = 0.048). Conversely, <em>B. henselae </em>and <em>B. quintana </em>antibodies were detected more frequently in serum than synovial fluid; overall only 2% of patients had positive IFA titers in synovial fluid, compared to 24% who had positive IFA titers in serum (p <0.001). There were no significant associations between <em>B. burgdorferi</em> or <em>Bartonella</em> spp. seroreactivity with any of the clinical rheumatological diagnoses.</p> <p>This study provides preliminary support for the importance of synovial fluid antibody testing for documenting exposure to <em>B. burgdorferi</em>, but not for documenting exposure to <em>Bartonella </em>spp.</p>
[Supplementary Material] Personalised Route Training for People with Cognitive Impairments through Co-Creation
<p>Supplementary material for the paper ' Paving the Way: Personalised Route Training for People with Cognitive Impairments through Co-Creation' submitted to MUC 2024.</p>
Meta-Organizations: a preliminary list of federations and confederations of states, tribes and indigenous peoples
<p>In the context of the project MetaOrgTrans and for the specific purpose of my research habilitation, I quickly constituted a database of federations and confederations of states, tribes and indigenous communities to identify meta-organizations that were not necessarily contitutive of western modernity. This is based on a list of confederations of states and tribes on Wikipedia (<a href="https://en.wikipedia.org/wiki/List_of_confederations">https://en.wikipedia.org/wiki/List_of_confederations</a>) and a list of indigenous peoples’ organizations signatories the RIO +20 indigenous peoples’ international conference on self-determination and sustainable development (<a href="https://www.forestpeoples.org/sites/fpp/files/publication/2012/06/list-indigenous-peoples-organizations-networks-and-federations-who-are-signatories-rio-20-indigenous.pdf">https://www.forestpeoples.org/sites/fpp/files/publication/2012/06/list-indigenous-peoples-organizations-networks-and-federations-who-are-signatories-rio-20-indigenous.pdf</a>)</p>
Intervention effect of person profiles for people with advanced dementia: Stepped-wedge cluster randomised trial
<p>Dataset related to study <a href="https://kofam.ch/en/snctp-portal/searching-for-a-clinical-trial/study/53440">SNCTP000003941</a></p> <div><strong># Project title</strong></div> <div>Intervention effect of person profiles for people with advanced dementia: Stepped-Wedge Cluster Randomised Trial.</div> <div> </div> <div><strong># Brief project overview</strong></div> <div>This is Data coming out of the IPOS-Dem project, a Stepped-wedge Cluster Randomised Trial (SW-CRT). Please make shure to check out the SW-CRT protocol for more details at <a href="https://www.doi.org/10.1111/jan.14953">https://www.doi.org/10.1111/jan.14953</a>. </div> <div> </div> <div>We are currently working on our main study (SW-CRT) analysis. While we remain dedicated to open science, our priority is to ensure the utmost integrity of our ongoing research.</div> <div> </div> <div><strong># Contributors</strong></div> <div>Frank Spichiger, Andrea Koppitz, André Meichtry</div> <div> </div> <div><strong>## Repository overview</strong></div> <div>|-- readme.md</div> <div>|-- documentation</div> <div> |--readme.md</div> <div> |--Datadictionary.html</div> <div>|-- data</div> <div> |--readme.md</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_IPOS-Dem.feather</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_locf_IPOS-Dem.feather</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_Qualidem.feather</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_locf_Qualidem.feather</div> <div> |--csv</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_IPOS-Dem.csv</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_locf_IPOS-Dem.csv</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_Qualidem.csv</div> <div> |--IPOS-Dem_CH-SW-CRT_PLD_locf_Qualidem.csv</div> <div>|-- analysis</div> <div> |--readme.md</div> <div> |--240229_Analysis_Main.html</div> <div> |--240229_Analysis_Main.qmd</div> <div> |--grateful-refs.bib</div> <div> |--output</div> <div> |--models-REML.csv</div> <div> |--models.csv</div> <div> |--subscale_estimates.csv</div> <div> |--figures</div> <div> |--Datashowcasing-1.png</div> <div> |--DEBI-Predictions-Plot-1.png</div> <div> |--DPII-Plot-1.png</div> <div> |--Model_1-Plots-1.png</div> <div> |--Model_1-Plots-2.png</div> <div> |--Model_2-Plots-1.png</div> <div> |--Model_2-Plots-2.png</div> <div> |--Model_3-Plot-1.png</div> <div> |--Model_4-Plot-1.png</div> <div> |--Model_5-Plot-1.png</div> <div> </div> <div> </div> <div><strong># Applicable instructions</strong></div> <div>The R markdown files were generated using <a href="https://www.r-project.org">R 4.2.2</a> in <a href="https://posit.co/downloads/">RStudio 2023.12.1</a> for MacOS X you can run them using free software but will need to install R, Rstudio and the packages cited at the end of the quarto or the rendered html we used.</div> <div> </div> <div><strong># Additional resources</strong></div> <div>- Main study protocol: <a href="https://www.doi.org/10.1111/jan.14953">https://www.doi.org/10.1111/jan.14953</a></div> <div>- QUALIDEM measure used: <a href="https://doi.org/10.1186/1477-7525-11-91">https://doi.org/10.1186/1477-7525-11-91</a> </div> <div>- Pos-Pal consortium with more information on the measure: <a href="https://www.pos-pal.org">https://www.pos-pal.org</a></div> <div>- IPOS-Dem translation and adaption: <a href="https://www.doi.org/10.1186/s41687-022-00420-7">https://www.doi.org/10.1186/s41687-022-00420-7</a></div> <div>- IPOS-Dem inter-rating reliability: <a href="https://doi.org/10.1371/journal.pone.0286557">https://doi.org/10.1371/journal.pone.0286557</a> </div>
Making people work skillfully together with the support of the TeamFluent tool - video of a demonstration
<p>This is a video prepared for a demonstration held at the OCCE 2021 conference:</p> <p>Lakkala, M., Dexter, P., Rautiainen, J., Männistö, T., & Toom, A. (2021). Making people work skillfully together with the support of the TeamFluent tool. OCCE 2021 DTEL IFIP TC3 Conference, 17-20 August, 2021, Tampere, Finland. See the book of abstracts: h<a href="http://ttps://www.occe2021.fi/wp-content/uploads/2021/08/OCCE2021_BookOfAbstracts_20210810.pdf">ttps://www.occe2021.fi/wp-content/uploads/2021/08/OCCE2021_BookOfAbstracts_20210810.pdf</a> (pp. 37-38).</p> <p>TeamFluent is a research-based tool originally developed at the University of Helsinki in the dLearn.Helsinki project (<a href="https://blogs.helsinki.fi/dlearnhelsinki/">https://blogs.helsinki.fi/dlearnhelsinki/</a>) and further developed by TeamFluent Ltd. (<a href="https://www.teamfluent.eu/">https://www.teamfluent.eu/</a>).</p>
Data set of a survey of people 6 months before reaching their regular retirement age
<p>This is an anonymized data set of a standardized survey of people about six months (+/- 3 months) before reaching their regular retirement age (n = 400). The survey is representative for the German-speaking part of Switzerland. Data was gained by telephone interviews, conducted by the market research institute DemoSCOPE in September 2019. The survey was part of the project “Identity Constructions for Retirement”, funded by the Swiss National Science Foundation (SNSF). Personal details that could lead back to the identity of the participants (among others postal code, profession, responses to open-ended questions) were removed from the data set.</p>
Supplementary materials for article: Ambient Intelligence System Enabling People With Blindness to Develop Electrotechnical Components and Their Drivers
<p><strong>Supplementary materials </strong>(Appendix E) for the article:</p> <p><strong><em>Ambient Intelligence System Enabling People With Blindness to Develop Electrotechnical Components and Their Drivers</em></strong></p> <p><em>Abstract: </em> Along with the development of new assistive technologies, including ambient intelligence (AmI) environments, new job opportunities are created for people with blindness or visual impairment. Whereas research on software development for people with blindness has been conducted since the 1960s, the design and development of electrotechnical equipment still lacks any way to compensate for the disability which would enable people with blindness to perform even the activities pertaining to this field. This article aims to introduce these new technological procedures enabling the compensation of the disability of people with blindness when designing and developing electrotechnical components (or prototypes) and their drivers by using the AmI system RUDO modules and other tools. This includes the modules enabling measuring electrotechnical quantities, tracing of oscilloscope curves, and ensuring a unified user interface for programming and operation of the devices connected. Other approaches are introduced herein that focused on the production of mechanical components for device construction. This article also contains an illustrative video of practical use of these technological procedures by a person with blindness. To assess the usability of the designed technological procedures to the work of a designer with blindness and one without visual impairment, the cognitive walkthrough method was used. The main contribution of this article is to broaden the knowledge base by the principles of involving people with blindness in the development and construction of electrotechnical components (or prototypes). These new possibilities can be used practically, for instance, in computer education, which can offer new curricula for visually impaired students and focused on more practical issues where hardware and software approaches meet.</p> <p>Hudec, M., & Smutny, Z. (2022). Ambient Intelligence System Enabling People With Blindness to Develop Electrotechnical Components and Their Drivers. <em>IEEE Access</em>, 10, 8539-8565. <a href="https://doi.org/10.1109/ACCESS.2022.3144109">https://doi.org/10.1109/ACCESS.2022.3144109</a></p> <p> </p> <p><strong>Appendix E - Description of the illustrative video</strong></p> <p>The video is divided into two parts.</p> <p><em><strong>Part 1: The way of connecting electrical circuits by a person with blindness without the need of assistance. </strong></em></p> <p>The example includes the connection of a DC/DC converter to a miniature screw terminal block and testing its functionality in a designed device. DC/DC converter is connected into miniature screw terminal block, commonly available in electrotechnical equipment stores. The DC/DC converter has six contacts, which means that in two cases two contacts are connected at the same time to one socket. After connecting the DC/DC converter, the laboratory power supply is switched on to keep the device energized. Person with blindness measures the voltage at the input and also at the output of the DC/DC converter. This will ensure that it works correctly in the given connection.</p> <p>A power switcher is connected to the constructed device. In our case, the power switcher should switch the power supply of the appliances to either photovoltaics or the mains. The device with DC / DC converter is connected to the LAN and via the second wire is connected to the power switcher, i.e.:</p> <ul> <li>the software on the home server will control this device with a DC/DC converter via LAN,</li> <li>a device with a DC/DC converter will command the power switcher to switch the power current.</li> </ul> <p>The power switcher is turned on and the person with blindness goes to the computer, where he runs a test program to test the entire connection. The test program taps the relay three times and waits a while. The test program repeats this sequence until it is interrupted. In the end, the contacts of the power relay were measured with an audible short-circuit meter, which always started to emit a whistling tone when the state was switched on. This debugged the functionality of the hardware and its data connection to the home server.</p> <p><em><strong>Part 2: Preparation of mechanical components for device construction.</strong></em></p> <p>The example includes cutting a board made of pertinax material on miter saw and its further modification. This modification involves grinding the edge of the cut board and drilling holes for further assembly of the board using a steel stencil and a meter marked in Braille. Finally, two miniature screw terminal blocks can be glued to the board prepared in this way.</p> <p> </p>
Patient-reported outcomes among people living with HIV on single- versus multi-tablet regimens
<p><strong>Background: </strong>Single-tablet regimens (STR) have become the golden standard in antiretroviral therapy. However, there are calls to reintroduce (generic) components as multi-tablet regimens (MTR) because of cost-savings. Patient-reported outcome measures (PROs) are an important touchstone to support or to renounce this proposal. As such, our aim was to compare PROs of people living with HIV taking an STR versus a MTR in a real world setting.</p> <p><strong>Materials and methods: </strong>188 people living with HIV participated in a longitudinal study. 132 remained on their MTR and 56 switched to an STR. At baseline, months 1-3-6-12-18 and 24, participants filled in questionnaires on health-related quality of life (HRQoL), depressive symptoms, HIV symptoms, neurocognitive complaints (NCC) treatment satisfaction and adherence. Generalized linear mixed models and generalized estimation equations mixed models were built.</p> <p><strong>Results: </strong>At baseline, the two groups did not differ in clinical parameters and PROs. The mixed models revealed differences among the groups regarding neurocognitive complaints and treatment satisfaction. The odds of having NCC increased by 4,1% per month in the STR-group as compared to the MTR-group (p=0.035). Nonetheless, treatment satisfaction also increased in the STR-group: at month 6, median change score was highly positive: 24 (IQR 7,5-29). Treatment satisfaction showed a significantly different evolution in the groups: the estimated state score increased by 3,3 in the STR-group while it decreased by 0,2 in the MTR-group (p=0.003). HRQoL measures, HIV symptoms, depressive symptoms and adherence did not differ between the groups over time.</p> <p><strong>Conclusions: </strong>Neurocognitive complaints and treatment satisfaction differed between the two groups. More people on an STR reported NCC over time compared to the MTR-group. Contrarily, treatment satisfaction in the STR-group increased significantly over time. It should be further investigated to which extent treatment satisfaction is a predictor for long-term treatment persistence and health outcomes.</p>
The indirect impact of COVID-19 on major clinical outcomes of people with Parkinson's disease or atypical parkinsonism: a cohort study. Raw data
<p>Raw dataset of the study "The indirect impact of COVID-19 epidemic on major clinical outcomes of people with Parkinson’s disease (PD) or atypical parkinsonism: a cohort study"</p>
Toll Dilemma Game Data: Measuring the Cooperation of the People with the Government in Iran in the Form of Seven designed Scenarios
<p>The toll dilemma game was designed in the form of a robot and distributed in the Telegram messenger. More than 1,200 people participated in this game, who acted as testee in the game. Each actor entered one of seven pre-designed scenarios, and how he or she worked with the government was evaluated in a simulated environment. The current data are entered in SPSS software. </p>
data set regarding to project – Sarcopenia, obesity, sarcopenic obesity and risk of PNS in Polish older people
<p><strong>This data set corresponds with the article titled: Sarcopenia, obesity, sarcopenic obesity and risk of poor nutritional status in Polish community-dwelling older people aged 60 years and over.</strong></p>
Transition to adult services experienced by young people with cerebral palsy: A cross-sectional study
<p>Data used in publication entitled: "Transition to adult services experienced by young people with cerebral palsy: A cross-sectional study" </p> <p>Published in Developmental Medicine and Child Neurology, June 2022.</p> <p>Associated metadata provided in "metadata_v1"</p>
Harvesting 15MY of evolutionary innovation to help solve the 10-billion people question – "How can we feed our world without destroying our planet?
<p>Recording of webinar from the KOICA seminar series presented on July 28 2022 as part of the Capacity Building for Higher Education & the Establishment of the UPLB Genomics Center project, a collaboration of the Korea International Cooperation Agency, the University of the Philippines, and the International Rice Research Institute</p>
Schematic and adapted figures from IPBES Sustainable Use of Wild Species Assessment - Chapter 3. Status of and trends in the use of wild species and its implications for wild species, the environment and people
<p>Schematic and adapted figures from Chapter 3 of the thematic assessment of the sustainable use of wild species of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.</p>
People and machines: co creating with heritage collections
<p>Machine-learning technologies such as Handwritten Text Recognition (HTR) are beginning to be used to open and transform cultural heritage material, enabling search, discovery and the creation of linked data. Whereas in 2014, Ridge described cultural heritage crowdsourcing projects as asking the public to undertake tasks that cannot be done automatically,1 today, some projects are asking volunteers to undertake tasks which could be completed by a machine with a high level of speed and accuracy. A deeper exploration of the opportunities and challenges presented by increased incorporation of machine-learning technologies into crowdsourcing projects has yet to be undertaken. This workshop was designed to start these discussions.<br> The ‘People and Machines’ interdisciplinary workshop explored the best routes to fuse digital innovations with the dedication and enthusiasm of volunteers through discussion of what makes an effective crowdsourcing task, how to maintain volunteer motivation, and methods of supporting volunteers to produce useful data, both as part of traditional crowdsourcing, and as part of workflows incorporating machine learning.<br> This report uses the term ‘machine learning’ to refer to a range of technical approaches which use statistical models and algorithms to analyse and draw inferences from patterns in data. Machine learning models and algorithms ‘learn’ from the data they are given, and autonomously adapt and improve their accuracy in response. Machine learning, which includes supervised learning, unsupervised learning, and deep learning, is a subfield of Artificial Intelligence.</p>
Measurement of Social Strain in People with Dementia: A Pre-liminary Study of the Reliability and Validity of the Negative Relationship Quality Questionnaire in Indonesia
<p>People<strong> </strong>with dementia (PWD) may exhibit symptoms that negatively affect their relationships with their families or friends which could cause social strain. The Negative Relationship Quality (NRQ) questionnaire can be used to measure social strain in PWD. There has never been an Indonesian adaptation of the NRQ. This preliminary study aimed to measure the validity and reliability of the NRQ among PWD in Indonesia (NRQ-INA). This study used a cross-sectional design. Forward–backward translation methods were conducted first. Pearson’s correlation and factor analysis were employed for the validity test. Cronbach’s alpha and test–retest were used to determine reliability. The NRQ-INA has four parallel items related to social strain that are divided into three subscales and asked to spouse/partner, family members, and friends, leading to a total of 12 questions. The results of validity testing from 60 respondents showed that all items in the NRQ-INA were strongly valid with correlation coefficients (<em>r</em>) of >0.8 (<em>p</em><0.01). Factor analysis showed a convergence with the variance explained of more than 50% for all items in each subscale, which also indicated that NRQ-INA had acceptable construct validity to measure social strain. Cronbach’s alpha values (α) were 0.926, 0.942, and 0.938 for the subscales of spouse, friends, and family members, respectively. The correlations of test–retest reliability for all items were >0.7 (<em>p</em><0.01), demonstrating a reliable NRQ-INA measurement. In conclusion, NRQ-INA had a good validity and reliability to measure social strain in PWD. Further study of the concurrent validity among PWD is still needed.</p>
Internet of Things - transforming businesses, people's lives and driving growth in the coming years
<p><b>Abstract</b></p><p class="dhik-abstract-content">IoT is the biggest computer revolution and will transform businesses, people's lives and drive growth in the coming years. We discuss novel IoT systems, technologies, and future trends to increase productivity, efficiency and quality in manufacturing, smart buildings, energy and wireless industries.</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (DOI:<a href="https://zenodo.org/record/7123773">10.5281/zenodo.7123773</a>)</li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li><b>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (<a href="#collapseTwo">Video</a>)</b></li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></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.