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2,672 results for “services”
EOSCpilot D3.7 Updates to Policy Supporting Services: supporting material for the Monitor
<p>This is to support use cases of the Monitor section of EOSCpilot D3.7 Updates to Policy Supporting Services.</p>
STOP-IT Cyber Threat Sharing Service (CTSS)
<p>The Cyber Threat Sharing Service collects sources of existing threats from relevant feeds, and structuring the information using standards to facilitate the exchange of the security threats identified (e.g. MITRE, OASIS). Personalized alerts and relevant information can be provided according to the subscription parameters the CI has requested. This service ensures the mitigation of threats to CI; enhances the coordination within CI establishing exchange methods to prevent, reduce, mitigate and recover from existing threats; and allows the coordination between similar centres in the world to deal with CI threats in a global approach.</p>
Bandwidth and Service Placement data from the CityLab testbed
<p>A dataset that contains bandwidth data from the nodes of Fed4Fire+ CityLab testbed in Antwerp, Belgium. </p>
Respondents' perspectives on the impact of digital data-based health services on disaster risk management in Indonesia.
<p>This data contains respondents' perspectives on the impact of digital data-based health services on disaster risk management. Digital health services are the implementation of digital, information, and communication technologies in the context of health services. Digital health services include: mHealth, Health Information Technology, Wearable Devices, Telehealth and Telemedicine, and Personalized Medicine. </p> <p>Data was collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (Project ID: HORIZON MSCA-SE 101086381) would be advisable.</p>
Debunking neuromyths: Pre‐service teachers' insights on autism spectrum disorder.
<p>This database corresponds to the results of the paper:</p> <p>Lacruz-Pérez, I., Pastor-Cerezuela, G., Caurín-Alonso, C., Morales-Hernández, A.J. & Tárraga-Mínguez, R. (in press). Debunking neuromyths: Pre‐service teachers' insights on autism spectrum disorder. <em>Journal of Research in Special Educational Needs. </em></p>
Data and code for "Optimizing cover crop practices as a sustainable solution for global agroecosystem services"
<p>Data and code for "Optimizing cover crop practices as a sustainable solution for global agroecosystem services" (Qiu et al. 2025), including source data, R scripts, and output results.</p>
Diaspora Policies, Consular Services and Social Protection for Swiss Citizens Abroad
<p>Overview of the policies of Swiss institutions in their dealings with Swiss abroad, with<br> a specific focus on the area of social protection.</p> <p>List of interviews, codebook along DDI standard in pdf and xml version.</p>
Discovering dataset download link, or access via service, from DOI metadata
<p>Diagram showing how it can be possible to access a digital resource that a DOI identifies, either by direct download or via a web service, from the DOI's DataCite metadata. </p>
Customer experience dimension in service provider commenters (bahasa)
<p>A dataset containing customer commenters that obtain from user-generated content on Twitter and Instagram @byu_id. The dataset is used Bahasa, and it includes 32.684 raws. The following is an explanation of the variables in each column:</p> <p>- <strong>comment</strong>: comments using Indonesian obtained from January 1 to June 30, 2021. This comment has been through a preprocessing process.</p> <p>- <strong>sentiment</strong>: consists of neutral, positive, and negative sentiments of customers.</p> <p>- <strong>dimension</strong>: there are six dimensions using customer experience proposed by Malviya and Varma (2012).</p>
Dataset for review on innovative contracts for the promotion of biodiversity and ecosystem services in agricultural management: contract design and governance characteristics
<p>Dataset for H2020 project Contracts2.0 (GA No 818190), WP2, Task 2.1, Deliverable 2.1.</p> <p>This dataset contains the information needed to reproduce the results in:<br> Bredemeier, Birte; Herrmann, Sylvia; Sattler, Claudia; Prager, Katrin; van Bussel, Lenny, Rex, Julia (submitted): Can the greater integration of biodiversity and ecosystem services into agricultural management be achieved through innovative contract design? Submitted to Ecosystem Services.<br> <br> The Contracts2.0 project aims to develop novel contract-based approaches to incentivise farmers for the increased provision of environmental public goods alongside private goods.<br> Based on a literature review and integration of expert knowledge, we identified a comprehensive set of approaches to innovative contracts deviating from mainstream AECM contracts, and provide an overview of the variety of contracts currently being tested and experimented with. This includes different contract types like innovative Payments for Ecosystem Services (PES) approaches, value chain approaches and land tenure contracts, as well as their hybrids.</p> <p><br> We analysed 62 cases providing insights into characteristics of contract design and contract governance and the wider policy framework.</p> <p><br> The present dataset contains information on the criteria and specifications used to describe the cases studied, as well as the evaluation of each case.</p> <p><br> This information has been compiled to the best of our knowledge based on the sources available.<br> <br> For further information on the project Contracts2.0, please visit our website www.project-contracts20.eu. </p>
fusion-jena/befchina-test-collection: Major service release
<p>This repository provides a test collection for dataset search in biodiversity. The test collections consists of 14 questions collected in different biodiversity research related projects and reflecting real user informations needs, a corpus of 372 datasets created in the scope of the <a href="https://bef-china.com">BEF-China project</a> and human assessments evaluating which dataset is relevant to a question.</p> <p>Further information on the BEF-China project can be obtained from the website: <a href="https://bef-china.com">https://bef-china.com</a>.</p> <p><em>version 2.0:</em> This service release provides the relevance judgments in the proper TREC format: <TOPIC><ITERATION><DATASET NUMBER><RELEVANCE> and duplicate entries are removed.</p> <p><a href="https://github.com/fusion-jena/befchina-test-collection">https://github.com/fusion-jena/befchina-test-collection</a></p>
Multidimensional pain profiling in people living with obesity and attending weight management services: a protocol for a longitudinal cohort study
<p><strong>Please note: The final dataset will not be available until data collection has been completed in the Autumn of 2024.<br> This dataset currently contains the following:</strong></p> <p>1. Details of the study, including authorship, ethical approval, funding, registration details, an abstract for the protocol of the study and details of data being collected (both in Microsoft Word and open access .txt formats)</p> <p>2. Outline of the data in the process of collection (Microsoft Excel)</p> <p>3. Ethical approval letters from relevant Research Ethics Committees (PDF)<br> <br> </p> <p> </p> <p><strong>Project Title: </strong>Multidimensional pain profiling in people living with obesity and attending weight management services: a longitudinal cohort study</p> <p> </p> <p><strong>Authors:</strong> Keith M. Smart<sup>1,2</sup>, Natasha Hinwood<sup>1</sup>, Colin G. Dunlevy<sup>3</sup>, Catherine Doody<sup>1</sup>, Catherine Blake<sup>1</sup>, Brona Fullen<sup>1</sup>, Jean O’Connell<sup>3</sup>, Carel W. Le Roux<sup>4</sup>, Clare Gilsenan<sup>5</sup>, Francis M. Finucane<sup>6,7</sup>, Gráinne O’Donoghue<sup>1</sup>.</p> <p> </p> <p><strong>Corresponding author</strong>: Natasha Hinwood</p> <p><strong>Address:</strong> UCD School of Public Health, Physiotherapy and Sport Science, University College Dublin, Dublin, Ireland</p> <p><strong>Email:</strong> <a href="mailto:natasha.hinwood@ucdconnect.ie">natasha.hinwood@ucdconnect.ie</a></p> <p><strong>Phone:</strong> +353 1 716 6511</p> <p> </p> <p>Full name, department, institution, city, and country of all co-authors.</p> <p><sup>1</sup>UCD School of Public Health, Physiotherapy and Sport Science, University College Dublin, Dublin, Ireland</p> <p><sup>2</sup>Physiotherapy Department, St. Vincent’s University Hospital, Dublin, Ireland</p> <p><sup>3</sup>Weight Management Service, St Columcille’s Hospital, Dublin, Ireland</p> <p><sup>4</sup>Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland</p> <p><sup>5</sup>Physiotherapy Department, Beaumont Hospital, Dublin, Ireland</p> <p><sup>6</sup> School of Medicine, College of Nursing and Health Sciences, University of Galway</p> <p><sup>7</sup>Bariatric Medicine Service, Centre for Diabetes, Endocrinology and Metabolism, Galway University Hospitals</p> <p> </p> <p><strong>ORCID</strong></p> <p>1. Keith M. Smart: 0000-0002-1598-5215</p> <p>2. Natasha Hinwood: 0000-0001-9382-716X</p> <p>3. Colin G. Dunlevy:</p> <p>4. Catherine Doody:</p> <p>5. Catherine Blake: 0000-0002-0600-629X</p> <p>6. Brona Fullen: 0000-0003-4408--2063</p> <p>7. Carel W. Le Roux: 0000-0001-5521-5445</p> <p>8. Jean O’Connell: 0000-0001-7241-8025</p> <p>9. Clare Gilsenan:</p> <p>10. Francis M. Finucane: 0000-0002-5374-7090</p> <p>11. Gráinne O’Donoghue: 0000-0002-9126-2094</p> <p> </p> <p> </p> <p><strong>Project abstract (Protocol): </strong></p> <p><em>Introduction</em>:</p> <p>Pain is prevalent in people living with overweight and obesity. Obesity is associated with increased self-reported pain intensity and pain-related disability, reductions in physical functioning and poorer psychological well-being. People living with obesity tend to respond less well to pain treatments or management compared to people living without obesity. Mechanisms linking obesity and pain are complex and may variously include contributions from and interactions between physiological, behavioural, psychological, socio-cultural, biomechanical, and genetic factors. Our aim is to study the multidimensional pain profiles of people living with obesity, over time, in an attempt to better understand the relationship between obesity and pain.<br> </p> <p><em>Methods and analysis: </em></p> <p>This longitudinal observational cohort study will recruit (n=216) people living with obesity and who are newly attending three weight management services in Ireland. Participants will complete questionnaires that assess their multidimensional biopsychosocial pain experience at baseline and at 3, 6, 12 and 18-months post-recruitment. Quantitative analyses will characterise the multidimensional pain experiences and trajectories of the cohort as a whole and in defined sub-groups.<br> </p> <p><em>Ethics and dissemination: </em></p> <p>The study protocol has been approved by the Ethics and Medical Research Committee of St Vincent’s Healthcare Group, Dublin, Ireland (Reference No.: RS21-059) and the University College Dublin Human Research Ethics Committee (Reference No.: LS-E-22-41-Hinwood-Smart). Findings will be disseminated through peer-reviewed journals, conference presentations, public and patient advocacy groups, and social media.</p>
Will Biomimetic Robots Be Able to Change a Hivemind to Guide Honeybees' Ecosystem Services? (dataset)
<p>Simulation data for different simulation runs from the publication "Will Biomimetic Robots Be Able to Change a Hivemind to Guide Honeybees’ Ecosystem Services?"<br> <br> Dataset for figure 4: The Model replicates Seeleys Choice Experiment (1991).<br> (Shown in the folder: 'Model_Validation_Choice_Empirical','Model_Validation_Choice_Model')<br> Aditionally the accumulated energy [J] (net gain) gathered threw the foraging targets is displayed.<br> <br> Dataset for figure 5: The Model replicates Seeleys Cross Inhibition Experiment (2009).<br> (Shown in the folder: 'Model_Validation_Equilib_Empirical','SModel_Validation_Equilib_Model')<br> Aditionally the accumulated energy [J] (net gain) gathered threw the foraging targets is displayed.<br> <br> Dataset for figure 6: Model data of Seeley's choice experiment (1991) under more natural conditions.<br> The effect of the single parameters and the effect of all parameters together is shown.<br> (Shown in the folder: 'Natural_Foraging_Forager_Size','Natural_Foraging_crop_Load',<br> 'Natural_Foraging_CFS','Natural_Foraging_All_Conditions',)<br> <br> Dataset for figure 7: Model data of Seeley's Cross Inhibition Experiment under more natural conditions.<br> The effect of the single parameters and the effect of all parameters together is shown.<br> (Shown in the folder: 'Natural_Foraging_Equilib_Forager_Size','Natural_Foraging_Equilib_crop_Load',<br> 'Natural_Foraging_Equilib_CFS','Natural_Foraging_Equilib_All_Conditions',)<br> <br> Dataset for figure 8: The influence of waggle dancing robots on the foraging behaviour of honeybees with two different qualities of the foraging targets A and B.<br> After 14400 second (12:00) a pesticide is sprayed on the foraging target B under natural conditions.<br> The waggle dancing robot starts advertising foraging target B when time > 14400 seconds.<br> (The folder shows: 'robo_influence_bad_vs_bad','robo_influence_good_vs_bad','robo_influence_good_vs_good',)</p> <p>Dataset for figure 9: The influence of 10 waggle dancing robots on the foraging behaviour of honeybees with two different qualities of the foraging targets A and B<br> and varrying colony fill status (CFS).<br> After 14400 second (12:00) a pesticide is sprayed on the foraging target B under natural conditions.<br> The 10 waggle dancing robots start advertising foraging target B when time > 14400 seconds. The CFS is varried (0.1, 0.3, 0.5, 0.7, 0.9).<br> (The folder shows: 'robo_influence_bad_vs_bad','robo_influence_good_vs_bad','robo_influence_good_vs_good',)<br> <br> Dataset for figure 10: The effects at the end of the waggle dancing robots on the accumulated energy (through the trips), accumulated pesticides (through trips on foraging target<br> B, where after time>14400 pesticide was sprayed on the foraging target), pollination flights to foraging target A.<br> After 14400 second (12:00) a pesticide is sprayed on the foraging target B under natural conditions.<br> The waggle dancing robot starts advertising foraging target A when time > 14400 seconds.<br> (The folder shows: 'robo_influence_acc_energy','robo_influence_acc_pesticide','robo_influence_pollination')<br> <br> The datasets are contained in the zipped file folder Figures_data.zip.</p>
HPC-JEEP: Energy-based charging on the ARCHER2 HPC service dataset
<p>This package contains the data and tools used to calculate and analyse an approach to energy-based charging on the ARCHER2 UK HPC facility. This analysis was performed as part of the <a href="https://zenodo.org/record/6787599/">HPC-JEEP project</a>. HPC-JEEP is funded by the <a href="https://net-zero-dri.ceda.ac.uk/">UKRI DRI Net Zero Scoping project</a>.</p>
Linked Open Data Management Services: A Comparison
<p>Thanks to a variety of software services, it has never been easier to produce, manage and publish Linked Open Data. But until now, there has been a lack of an accessible overview to help researchers make the right choice for their use case. This dataset release will be regularly updated to reflect the latest data published in a comparison table developed in Google Sheets [1]. The comparison table includes the most commonly used LOD management software tools from NFDI4Culture to illustrate what functionalities and features a service should offer for the long-term management of FAIR research data, including:</p> <ul> <li>ConedaKOR</li> <li>LinkedDataHub</li> <li>Metaphacts</li> <li>Omeka S</li> <li>ResearchSpace</li> <li>Vitro</li> <li>Wikibase</li> <li>WissKI</li> </ul> <p>The table presents two views based on a comparison system of categories developed iteratively during workshops with expert users and developers from the respective tool communities. First, a short overview with field values coming from controlled vocabularies and multiple-choice options; and a second sheet allowing for more descriptive free text additions. The table and corresponding dataset releases for each view mode are designed to provide a well-founded basis for evaluation when deciding on a LOD management service. The Google Sheet table will remain open to collaboration and community contribution, as well as updates with new data and potentially new tools, whereas the datasets released here are meant to provide stable reference points with version control.</p> <p>The research for the comparison table was first presented as a paper at DHd2023, Open Humanities – Open Culture,<strong> </strong>13-17.03.2023, Trier and Luxembourg [2].</p> <p>[1] Non-editing access is available here: <a href="http://docs.google.com/spreadsheets/d/1FNU8857JwUNFXmXAW16lgpjLq5TkgBUuafqZF-yo8_I/edit?usp=share_link">docs.google.com/spreadsheets/d/1FNU8857JwUNFXmXAW16lgpjLq5TkgBUuafqZF-yo8_I/edit?usp=share_link</a> To get editing access contact the authors.</p> <p>[2] Full paper will be made available open access in the conference proceedings.</p>
Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity
<p>The repository contains the data and codes supporting the findings of the study:<strong> </strong>Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity, which can be found in the zip file "<strong>euclimate_vs_natpolicy-main.zip"</strong>. </p> <p>Further, the repository includes the raw forest simulation data used as input for the multi-objective optimizations and the raw optimization outputs of each study region. The codes to run the national optimization can be retrieved from <a href="http://doi.org/10.5281/zenodo.6631109">https://doi.org/10.5281/zenodo.6631109</a>.</p> <p>Abstract:</p> <p>The European Union (EU) set clear climate change mitigation targets to reach climate neutrality, accounting for forests and their woody biomass resources. We investigated the consequences of increased harvest demands resulting from EU climate targets. We analysed the impacts on national policy objectives for forest ecosystem services and biodiversity through empirical forest simulation and multi-objective optimization methods. We show that key European timber-producing countries – Finland, Sweden, Germany (Bavaria) – cannot fulfil the increased harvest demands linked to the ambitious 1.5°C target. Potentials for harvest increase only exists in the studied region Norway. However, focusing on EU climate targets conflicts with several national policies and causes adverse effects on multiple ecosystem services and biodiversity. We argue that the role of forests and their timber resources in achieving climate targets and societal decarbonization should not be overstated. Our study provides insight for other European countries challenged by conflicting policies and supports policymakers.</p>
Project "Public services management system to improve the quality and accessibility of services" (01.2.2-LMT-K-718-03-0019) interviews
<p>The dataset of depersonalized qualitative semi-structured interviews with the representatives of public sector organisations providing public services in Lithuania. The data were collected in December-November, 2022 as a part of the project "Public services management system to improve the quality and accessibility of services" ("Viešųjų paslaugų vadybos sistema paslaugų kokybei ir prieinamumui gerinti"), grant no. 01.2.2-LMT-K-718-03-0019, funded by the Lithuanian research council. The interviews are in the Lithuanian language.</p>
Contextual dataset from a Public Service Media
<p>Dataset from a Public Service Media (PSM) whose users are not logged in. Thus, this leads to a pure cold-start problem where each interaction is viewed as an isolated event.</p>
Project "Public services management system to improve the quality and accessibility of services" (01.2.2-LMT-K-718-03-0019) literature review screening results
<p>The results of the keyword query in Scopus search with the abstracts were screened using <i>abstractr </i>platform at <a href="http://abstrackr.cebm.brown.edu">http://abstrackr.cebm.brown.edu</a>. Four reviewers reviewed intersecting subsets of the overall list of publications in separate reviews, therefore duplicate records in the file are possible. The results from four reviews were combined into one file using functionality of <i>abstractr </i>platform. The reviews were finalized in February, 2022. Majority of the publications from the Scopus query results were automatically assigned low relevance scores thanks to the active learning algorithm used by <i>abstractr</i> and therefore were not reviewed manually.</p><p>Notes on the columns of the dataset:</p><ul><li>(internal) id - internal id added by <i>abstractr.</i></li><li>(source) id - Scopus document id followed by underscore and '1' (if publication has DOI) or 'n' (if publication has no DOI).</li><li>keywords - authors' keywords and Scopus keywords concatenated from the Scopus query results.</li><li>abstract - an abstract of a publication from the Scopus query results.</li><li>title - title of a publication from the Scopus query results.</li><li>journal - journal of a publication from the Scopus query results.</li><li>authors - authors of a publlication from the Scopus query results.</li><li>consensus - for publications reviewed by multiple reviewers the consensus decision is signified by '1', no consensus - by 'x' and unable to asses consensus by 'o'. These codes are generated by <i>abstrackr.</i></li><li>eg - the first reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>dj - the second reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>rp - the third reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>mp - the fourth reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>count (+1) - integer, the number of reviewers selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>count (0) - integer, the number of reviewers not sure of selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>count (-1) - integer, the number of reviewers not selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>at leat once selected - binary integer, representing the final decision rule to select publications for fulltext reading and further analysis.</li></ul><p>The data were collected as a part of the project "Public services management system to improve the quality and accessibility of services" ("Viešųjų paslaugų vadybos sistema paslaugų kokybei ir prieinamumui gerinti"), grant no. 01.2.2-LMT-K-718-03-0019, funded by the Lithuanian research council.</p>
OpenAIRE ScholeXplorer Service: Scholix JSON Dump
<p>This dataset contains the GZ-compressed dump of the Scholix links (<a href="https://doi.org/10.5281/zenodo.6351557">schema Version 4</a>) exposed by the OpenAIRE ScholeXplorer service. It consists of 417+Mi bi-directional links (i.e. 975+Mi directed links) between literature-dataset and dataset-dataset involving 24+ Mi literature objects and 37+ Mi datasets (showing an increase of around 160Mi links wrt the previous release). Links are collected from publishers (CrossRef, EventData), data centers (DataCite and data centers), institutional/thematic repositories (OpenAIRE), life-science databases (EMBL-EBI), and inferred by OpenAIRE via text-mining around 14Mi publication's PDFs. The dataset is structured in 30 compressed files, each of at most ~10 Gb, for a total of ~328GB.</p> <p><strong>Note that the dataset matches a new version of the schema (</strong><a href="https://doi.org/10.5281/zenodo.6351557">schema Version 4</a>). Changes are minor, backward compatible, and regard optional fields and extensions of vocabularies. The <strong>readme.doc</strong> file includes a description of the schema changes and statistics about the dataset.</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.