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49 results for “information design”
Dataset and replication information for It's About Time: How to Study Intertemporal Choice in Systems Design
<p>Dataset and replication package for the paper <em>It's About Time: How to Study Intertemporal Choice in Systems Design</em> (Fagerholm, F., De los Ríos, A., Cárdenas Castro, C., Gil, J., Chatzigeorgiou, A., Ampatzoglou, A., Becker, C. (2023). It’s About Time: How To Study Intertemporal Choice in Systems Design. Information and Software Technology.). The dataset consists of answers to a scenario-based questionnaire that collects data on intertemporal choice in the context of software development. An analysis script is provided to show the details of the calculations and analyses performed for the paper. The replication package includes the protocol for data collection sessions and different versions of the task scenario and questionnaire. More information is given in the description file.</p>
Modulation Engineering: Stimulation Design for Enhanced Kinetic Information from Modulation-Excitation Experiments on Catalytic Systems
<p>Dataset used in the publication "Modulation Engineering: Stimulation Design for Enhanced Kinetic Information from Modulation-Excitation Experiments on Catalytic Systems" (<a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1021%2Facscatal.3c00646&data=05%7C01%7CValentijn.DeCoster%40UGent.be%7C2a7a2c81f646405654d308db2f58f8ec%7Cd7811cdeecef496c8f91a1786241b99c%7C1%7C0%7C638155831400735344%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=e%2Fyp50KsegsMtKcY9ijwh3AqUbrsxFLo%2BTXyGmzOLps%3D&reserved=0">https://doi.org/10.1021/acscatal.3c00646</a>).<br> A description document ("Data overview.docx") is included and provides an overview of the dataset.</p>
Supporting information of a study for the definition and evaluation of a graphical user interface for housing co-design
<p>This dataset is from a study that intends to define, prototype and test a graphical user interface for a housing co-design system. To define the requirements of the interface, we conducted interviews with professionals of architecture, urbanism and social sciences areas, as well as with housing cooperatives and inhabitants of these institutions. An interface solution was prototyped, tested and refined. Then we conducted a heuristic evaluation and a summative evaluation. Such evaluations involved the testing of a high-fidelity prototype, to receive feedback from UX/UI experts, potential users (inhabitants) and architects.</p> <p>S1_File refers to the interview protocol used with the three groups of interviewees. We share the English and Portuguese versions of the interviews with professionals and the original (Portuguese) and translated versions of the remaining ones since these were conducted in Portuguese.</p> <p>S2_File is a dataset reporting the results of the interviews. Each question includes the answers given and the identification (anonymized) of the interviewees who responded to that question.</p> <p>S3_File describes the usability issues identified by the experts during the heuristic evaluation of the high-fidelity prototype. The first page organizes the issues by severity (left) and priority (right). The remaining pages have a table for each issue, including rows for problem designation, heuristic violated, problem description, solution proposal, severity degree, and an image of the interface pointing to the referred issue.</p> <p>S4_File refers to the results of the heuristic evaluation. It includes the identification of each issue, which expert (anonymized) identified such issue, and the heuristic it violates, with the sum of the times each heuristic was violated at the end of each column. At the right, a table presents the consolidation of issues, organized by priority, with columns identifying the issue, severity level, frequency, and priority.</p> <p>S5_File is the script given to potential users to experiment with the interface during the summative evaluation. This script guides the user through the tasks to perform since the prototype does not have all the features functioning.</p> <p>S6_File refers to the questionnaires applied during the summative evaluation with inhabitants. It includes a preliminary questionnaire, a Single Ease Question (SEQ) questionnaire, a System Usability Scale (SUS) questionnaire, and a Graphical User Interface (GUI) questionnaire.</p> <p>S7_File refers to the results of the summative evaluation with inhabitants (potential users).</p> <ul> <li>Page A refers to the preliminary questionnaire with demographic information such as age, gender, education, relationship with digital technologies, etc. Each field corresponds with each inhabitant (anonymised) and the sum and percentage. In the middle, a table presents a summary of the consolidation. In the right possible relations are presented. </li> <li>Page B presents the results of the SEQ questionnaire, identifying the ratings each inhabitant (anonymized) gave each task. A summary of such values is at the right. </li> <li>On page C, the result of each rating for the SUS questionnaire given by each inhabitant (anonymized) is shown. At the bottom is the calculation of the SUS score.</li> <li>Page D presents the GUI questionnaire results for each inhabitant (anonymized), with the average and SD identified for each question. A summary of such results is on the right.</li> <li>Page E holds the notes taken by the researchers based on their observations regarding task performance. The information is organized in tables for each step of each task and includes the completeness, attempts, and time taken for each inhabitant (anonymized) to complete such task. Also, the sum, percentage, average, and SD are registered. Next to each task is a table identifying how many participants accomplished the task at the first attempt.</li> <li>Page F refers to the strong and weak aspects identified by the inhabitants. Strong and weak aspects are identified, as well as which inhabitant (anonymized) has identified them. The sum and percentage are also given. At the right, there is a table with the consolidation of results by combining similar answers. </li> </ul> <p>S8_File refers to the results of the discussion with architects after experiencing the interface. Such results relate to the positive and negative aspects that the architects identified in the interface and its usefulness for architecture. The left table identifies the strong and weak aspects that architects (anonymized) identified and the sum and percentage associated with them. The table on the right consolidates such results, with similar responses combined.</p>
Sensory-Informed Architectural Design Qualities in Autism
<p><span>This dataset provides a collection of design qualities for autism-friendly designs. The collected data relies on the current literature, including various guidelines and research papers.</span></p>
Designing a Training Journey for Privacy and Information Security Practitioners in the Federal Public Administration
<p> Context : The Ministry of Management and Innovation in Public Services (MGI) leads the formulation and coordination of the Digital Government Strategy (EGD). DEPSI, under the Secretariat of Digital Government (SGD), is responsible for the Privacy and Information Security Program (PPSI), which aims at data privacy, compliance, and institutional resilience. Problem: The culture of privacy and information security in the Federal Public Administration faces development challenges. Despite the PPSI, there is a lack of awareness initiatives, training, a clear strategy, best practices, and performance indicators. Proposed Solution: The proposal aims to develop a training journey for Practitioners working in roles related to privacy and information security, with the goal of identifying and promoting the best practices, skills, and competencies required for these roles. IS Theory: This study aligns with Organizational Information Processing Theory, providing mechanisms to help organizations adapt to regulatory uncertainties in privacy and security. Method: We employed a mixed approach, combining document analysis, a literature review, and a survey. Guidelines and standards were analyzed to map competencies and responsibilities, while the survey gathered practitioners' perceptions of the proposed training journey. Summary of Results: We identified the key profiles and their corresponding responsibilities, and proposed a personalized training journey. Survey results indicated that the journey meets Practitioners’ expectations, being well-evaluated in terms of criteria and assigned weights. Contributions and Impact in IS: This work contributes by presenting a proposal for a Training Journey to assess the knowledge of Federal Public Administration employees and guide them on the best paths for professional development. </p>
Figure 5. Multi-agent system information and knowledge scheme.-Design and Development a Control and Monitoring System for Greenhouse Conditions Based-On Multi Agent System
<p>The negotiations between agents are subject to optimization based on “knowledge” that is<br> derived from complete production models, yield models or even sparse models as expressed in<br> fuzzy expert rules or practical rules of thumb. In addition, pest control and plant disease models<br> provide additional information useful to the design of a successful strategy for optimal management<br> [15] (illustrated in Figure 5).</p>
Figure 10b. The control loop's information displayed by the controller-Designing a Growing Functional Modules "Artificial Brain"
<p>Once performed the design and configuration, the controller and the local application are<br> executed by pressing the corresponding button. In case of a local simulation, two terminal windows<br> are generated. The first one, localized on the left side of the screen (figure 10.a), displays the<br> behavior of the simulation; the second one, localized on the right side of the screen (figure 10.b),<br> displays the behavior of the controller. Both application run concurrently and their respective<br> contents allow the user to observe and monitor the control session. The last text line of figure 10.b<br> displays the set of commands at cycle 201.</p>
Extended dataset and Coreq Checklist for 'Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"
<p>Individual user test interview guides and group interview guides for multiple stakeholders</p> <p>Coreq checklist</p> <p>Design reporting checklist</p>
Dataset for "Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"
<p>A qualitative dataset for the article: Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources</p> <p>We collected this data in Phase 2 of the work described in the article, to inform development of educational resources (<em>Be Smart About Your Health</em>) to support teaching critical thinking about health claims and making informed health choices for use in secondary schools, based on a set of Informed Health Choices Key Concepts. </p> <p>Data collection methods: individual and group interviews, observation of classroom pilots, in Kenya, Rwanda, and Uganda, and via email from an international advisory group. Timeframe for data collection and analysis: 2020-2022</p> <p>This dataset is a part of the research project: <em>Enabling sustainable public engagement in improving health and health equity, </em>2019-2024. Funded by GLOBVAC programme, Research Council of Norway. </p> <p> </p>
Needs and preferences of different groups of informal caregivers towards designing digital solutions
<p>The project aimed to understand whether young adults who take care of a loved-one (young adult caregivers; YACs) differ in their perceived life balance and psychosocial functioning as compared to young adults without care responsibilities (non-YACs). In addition, this project aimed to understand how YACs evaluated a tool to support informal careg</p> <p>ivers. This tool (“Caregiver Balance”; <a href="https://balans.mantelzorg.nl">https://balans.mantelzorg.nl</a>) is specifically designed to support informal caregivers taking care of a loved-one in the palliative phase and could potentially be adapted to meet the needs of YACs. </p> <p>In this project, we collected data of 74 YACs and 246 non-YACs. Both groups completed questionnaires, and the YACs engaged in a usability test. The questionnaire data was used to compare the perceived life balance and psychological functioning between YACs and non-YACs, aged 18-25 years, and studying in the Netherlands (study 1). Furthermore, we examined the relationship between positive aspects of caregiving and relational factors, in particular, relationship quality and collaborative coping among YACs (study 2). Finally, we conducted a usability study where we interviewed YACs to understand the needs and preferences towards a supportive web-based solution (study 3).</p> <p><strong><em>Table: Study details and associated files</em></strong></p> <table> <tbody> <tr> <td>Number</td> <td>Study Name</td> <td>Study Aim</td> <td>Study Type</td> <td>Type of data</td> <td>Associated Files</td> </tr> <tr> <td>1</td> <td>Perceived life balance among young adult students: a comparison between caregivers and non-caregivers</td> <td>Compare the perceived life balance and psychological functions among student young adult caregivers aged 18-25 years (YACs) with young adult without care responsibilities</td> <td>Survey study</td> <td>Quantitative</td> <td> <ol> <li>ENTWINE_YACs_nonYACsSurvey_RawData</li> <li>ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData</li> <li>ENTWINE_ PerceivedLifeBalanceSurvey _Syntax</li> <li>ENTWINE_YACs_nonYACsSurvey_codebook</li> </ol> </td> </tr> <tr> <td>2</td> <td>Examining the relationship of positive aspects of caregiving with relational factors among young adult caregivers</td> <td>Examine the relationship of positive aspects of caregiving with relational factors, in particular, relationship quality and collaborative coping among a particular group of ICGs, young adult caregivers (YACs), aged 18-25 years.</td> <td>Survey study</td> <td>Quantitative</td> <td> <ol> <li>ENTWINE_YACs_nonYACsSurvey_RawData</li> <li>ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData</li> <li>ENTWINE_PositiveAspectsCaregiving_Survey_Syntax</li> <li>ENTWINE_YACs_nonYACsSurvey_codebook</li> </ol> </td> </tr> <tr> <td>3</td> <td>Exploring the support needs of young adult caregivers, their issues, and preferences towards a web-based tool</td> <td>Explore (i) challenges and support needs of YACs in caregiving, (ii) their needs towards the content of the ‘MantelzorgBalans’ tool, and (iii) issues they encountered in using the tool and their preferences for adaptation of the tool.</td> <td>Usability study</td> <td> <p>Qualitative and Quantitative</p> </td> <td> <ol> <li>ENTWINE_Needs_Web-basedTools_YACs_Interview_Usability_RawData [to be determined whether data can be shared]</li> <li>ENTWINE_Needs_Web-basedTools_YACs_Questionnaires_RawData</li> </ol> </td> </tr> </tbody> </table> <p><strong>Description of the files to be uploaded</strong></p> <p><strong><em>Study 1: Perceived life balance among young adult students: a comparison between caregivers and non-caregivers</em></strong></p> <ol> <li>ENTWINE_YACs_nonYACsSurvey_RawData: SPSS file with the complete, raw, pseudonomyzed survey data. The following cleaned dataset ‘ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData’ was generated from this raw data.</li> <li>ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData: SPSS file with the cleaned dataset having the following metadata - <ol> <li><strong>Population:</strong> young adult caregivers and young adult non-caregivers aged 18-25 years studying in the Netherlands;</li> <li><strong>Number of participants:</strong> 320 participants in total (74 young adult caregivers and 246 young adult non-caregivers)</li> <li><strong>Time point of measurement:</strong> Data was collected from December 2020 till March 2022</li> <li><strong>Type of data:</strong> quantitative</li> <li><strong>Measurements included, topics covered:</strong> perceived life balance (based on the Occupational balance questionnaire [1]), burnout (Burnout Assessment Tool [2]), negative and positive affect (Positive and Negative Affect Schedule [3]), and life satisfaction (Satisfaction with Life Scale [4])</li> <li><strong>Short procedure conducted to receive data:</strong> online survey on Qualtrics platform</li> </ol> </li> <li>SPSS syntax file ‘ENTWINE_ PerceivedLifeBalanceSurvey _Syntax’ was used to clean and analyse ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData dataset</li> <li>ENTWINE_YACs_nonYACsSurvey_codebook: Codebook having the variable names, variable labels, and the associated code values and code labels for ENTWINE_PerceivedLifeBalanceSurvey_YACs_nonYACs_CleanedData dataset</li> </ol> <p><strong><em>Study 2: Examining the relationship of positive aspects of caregiving with relational factors among young adult caregivers</em></strong></p> <ol> <li>ENTWINE_YACs_nonYACsSurvey_RawData: SPSS file with the complete, raw survey data. The following cleaned dataset ‘ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData’ was generated from this raw data.</li> <li>ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData: SPSS file with the cleaned dataset having the following metadata - <ol> <li><strong>Population:</strong> young adult caregivers aged 18-25 years studying in the Netherlands;</li> <li><strong>Number of participants:</strong> 74 young adult caregivers</li> <li><strong>Time point of measurement:</strong> Data was collected from December 2020 till March 2022</li> <li><strong>Type of data:</strong> quantitative</li> <li><strong>Measurements included, topics covered:</strong> positive aspects of caregiving (positive aspects of caregiving scale [5]), relationship quality (Relationship Assessment Scale [6]), collaborative coping (Perception of Collaboration Questionnaire [7] )</li> <li><strong>Short procedure conducted to receive data:</strong> online survey on Qualtrics platform.</li> </ol> </li> </ol> <ol> <li>SPSS syntax file ‘ENTWINE_PositiveAspectsCaregiving_Survey_Syntax’ was used to clean and analyse ‘ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData’ dataset.</li> <li>ENTWINE_YACs_nonYACsSurvey_codebook: Codebook having the variable names, variable labels, and the associated code values and code labels for ENTWINE_PositiveAspectsCaregiving_Survey_YACs_cleanedData dataset.</li> </ol> <p><strong><em>Study 3: Exploring the support needs of young adult caregivers, their issues, and preferences towards a web-based tool </em></strong></p> <ol> <li>ENTWINE_Needs_Web-basedTools_YACs_Interview_Usability_RawData: Pseudonymized word file including 13 transcripts having the qualitative data from interview and usability testing with the following metadata – <ol> <li><strong>Population:</strong> young adult caregivers aged 18-25 years studying in the Netherlands; 13 participants in total</li> <li><strong>Time point of measurement:</strong> data was collected from October 2021 till February 2022</li> <li><strong>Type of data:</strong> qualitative and quantitative</li> <li><strong>Measurements included, topics covered: </strong>Caregiving challenges, support needs and barriers, usability needs, preferences and issues towards eHealth tool</li> <li><strong>Short procedure conducted to receive data</strong>: Online interviews</li> </ol> </li> <li>ENTWINE_Needs_Web-basedTools_YACs_Questionnaires_RawData: Excel sheet having the quantitative questionnaire raw data with the following metadata <ol> <li><strong>Population:</strong> young adult caregivers aged 18-25 years studying in the Netherlands; 13 participants in total</li> <li><strong>Time point of measurement:</strong> data was collected from October 2021 till February 2022</li> <li><strong>Type of data:</strong> qualitative and quantitative</li> <li><strong>Measurements included, topics covered: </strong>User experience (user experience questionnaire [8]), satisfaction of using the web-based tool (After scenario questionnaire [9]), Intention of use and persuasive potential of the eHealth tool (persuasive potential questionnaire [10])</li> <li><strong>Short procedure conducted to receive data</strong>: Online questionnaire</li> </ol> </li> </ol> <p><strong>Data collection details</strong></p> <ol> <li>All data was collected, processed, and archived in accordance with the General Data Protection Regulation (GDPR) and the FAIR (Findable, Accessible, Interoperable, Reusable) principles under the supervision of the Principal Investigator.</li> <li>The principal researcher and a team of experts (supervisors) in the field of health psychology and eHealth (University of Twente, The Netherlands) reviewed the scientific quality of the research. The studies were piloted and tested before starting the collection of the data. For the survey study, the researchers monitored the data collection weekly to ensure it was running smoothly.</li> <li>The ethical review board, Centrale Ethische Toetsingscommissie of the University Medical Center Groningen, The Netherlands (CTc), granted approval for this research (Registration number: 202000623).</li> <li>Participants digitally signed informed consent for participating in the study.</li> </ol> <p><strong>Terms of use</strong></p> <ol> <li>Interested persons can send a data request by contacting the principal investigator (Prof. dr. Mariët Hagedoorn, University Medical Center Groningen, the Netherlands <a href="mailto:mariet.hageboorn@umcg.nl">mariet.hageboorn@umcg.nl</a>).</li> <li>Interested persons must provide the research plan (including the research question, methodology, and analysis plan) when requesting for the data.</li> <li>The principal investigator reviews the research plan on its quality and fit with the data and informs the interested person(s).</li> <li>(Pseudo)anonymous data of those participants who agreed on the reuse of their data is available on request for 15 years from the time of completion of the PhD project.</li> <li>Data will be available in Excel or SPSS format alongside the variable codebook after the completion of this PhD project and publication of the study results.</li> </ol> <p><strong>References</strong></p> <p>1. Wagman P, Håkansson C. Introducing the Occupational Balance Questionnaire (OBQ). Scand J Occup Ther 2014;21(3):227–231. PMID:24649971</p> <p>2. Schaufeli WB, Desart S, De Witte H. Burnout assessment tool (Bat)—development, validity, and reliability. Int J Environ Res Public Health 2020;17(24):1–21. PMID:33352940</p> <p>3. Watson D, Clark LA, Tellegen A. Development and Validation of Brief Measures of Positive and Negative Affect: The PANAS Scales. J Pers Soc Psychol 1988;54(6):1063–1070. PMID:3397865</p> <p>4. Pavot W, Diener E, Colvin CR, Sandvik E. Further Validation of the Satisfaction With Life Scale; Evidence for the Cross-Method Convergence of Well-Being Measures. J Pers Assess 1991;57(1):149–161. PMID:1920028</p> <p>5. Tarlow BJ, Wisniewski SR, Belle SH, Rubert M, Ory MG, Gallagher-Thompson D. Positive aspects of caregiving: Contributions of the REACH project to the development of new measures for Alzheimer’s caregiving. Res Aging 2004;26(4):429–453. [doi: 10.1177/0164027504264493]</p> <p>6. Hendrick SS, Dicke A, Hendrick C. The relationship assessment scale. J Soc Pers Relat 1998;15(1):137–142. [doi: 10.1177/0265407598151009]</p> <p>7. Berg CA, Schindler I, Maharajh S. Adolescents’ and Mothers’ Perceptions of the Cognitive and Relational Functions of Collaboration and Adjustment in Dealing With Type 1 Diabetes. J Fam Psychol 2008;22(6):865–874. PMID:19102607</p> <p>8. Laugwitz B, Held T, Schrepp M. Construction and evaluation of a user experience questionnaire. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 2008;5298 LNCS:63–76. [doi: 10.1007/978-3-540-89350-9_6]</p> <p>9. Lewis JR. Psychometric evaluation of an after-scenario questionnaire for computer usability studies. ACM SIGCHI Bull 1991;23(1):78–81. [doi: 10.1145/122672.122692]</p> <p>10. Meschtscherjakov A, Gärtner M, Mirnig A, Rödel C, Tscheligi M. The Persuasive Potential Questionnaire (PPQ): Challenges, drawbacks, and lessons learned. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 2016;9638:162–175. [doi: 10.1007/978-3-319-31510-2_14]</p> <p> </p>
Microscopy data for the paper: Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise.
<p>Microscopy data for the paper: Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise.</p> <p> </p> <p>List of files used for each dataset.</p> <p> </p> <p>Dataset 0 : MS2-CY5_Cyto543_560_woStim</p> <p> Images in the dataset :</p> <p> ROI001_XY1657814108_Z00_T0_merged.tif - Image Id Number: 0</p> <p> ROI002_XY1657815441_Z00_T0_merged.tif - Image Id Number: 1</p> <p> ROI003_XY1657814110_Z00_T0_merged.tif - Image Id Number: 2</p> <p> ROI004_XY1657814111_Z00_T0_merged.tif - Image Id Number: 3</p> <p> ROI005_XY1657814112_Z00_T0_merged.tif - Image Id Number: 4</p> <p> ROI006_XY1657814113_Z00_T0_merged.tif - Image Id Number: 5</p> <p> ROI007_XY1657814114_Z00_T0_merged.tif - Image Id Number: 6</p> <p> ROI008_XY1657814115_Z00_T0_merged.tif - Image Id Number: 7</p> <p> ROI009_XY1657814116_Z00_T0_merged.tif - Image Id Number: 8</p> <p> ROI010_XY1657814117_Z00_T0_merged.tif - Image Id Number: 9</p> <p> ROI011_XY1657814118_Z00_T0_merged.tif - Image Id Number: 10</p> <p> ROI012_XY1657814119_Z00_T0_merged.tif - Image Id Number: 11</p> <p> </p> <p>Datset 1 : MS2-CY5_Cyto543_560_18minTPL_5uM</p> <p> Images in the dataset :</p> <p> ROI001 - Position 1_XY1657818948_Z00_T0_merged.tif - Image Id Number: 0</p> <p> ROI001 - Position 2_XY1657818949_Z00_T0_merged.tif - Image Id Number: 1</p> <p> ROI001 - Position 4_XY1657818951_Z00_T0_merged.tif - Image Id Number: 2</p> <p> ROI001 - Position 5_XY1657818952_Z00_T0_merged.tif - Image Id Number: 3</p> <p> ROI001 - Position 6_XY1657818953_Z00_T0_merged.tif - Image Id Number: 4</p> <p> ROI001 - Position 7_XY1657818954_Z00_T0_merged.tif - Image Id Number: 5</p> <p> ROI001 - Position 8_XY1657818955_Z00_T0_merged.tif - Image Id Number: 6</p> <p> ROI001 - Position 9_XY1657818956_Z00_T0_merged.tif - Image Id Number: 7</p> <p> ROI001 - Position 10_XY1657818957_Z00_T0_merged.tif - Image Id Number: 8</p> <p> ROI001 - Position 11_XY1657818958_Z00_T0_merged.tif - Image Id Number: 9</p> <p> ROI001 - Position 12_XY1657818959_Z00_T0_merged.tif - Image Id Number: 10</p> <p> </p> <p>Dataset 2: MS2-CY5_Cyto543_560_5hTPL_5uM</p> <p> Images in the datset :</p> <p> ROI001_XY1657822809_Z00_T0_merged.tif - Image Id Number: 0</p> <p> ROI002_XY1657822933_Z00_T0_merged.tif - Image Id Number: 1</p> <p> ROI003_XY1657822934_Z00_T0_merged.tif - Image Id Number: 2</p> <p> ROI005_XY1657822936_Z00_T0_merged.tif - Image Id Number: 3</p> <p> ROI006_XY1657822937_Z00_T0_merged.tif - Image Id Number: 4</p> <p> ROI007_XY1657822938_Z00_T0_merged.tif - Image Id Number: 5</p> <p> ROI008_XY1657822939_Z00_T0_merged.tif - Image Id Number: 6</p> <p> ROI010_XY1657822941_Z00_T0_merged.tif - Image Id Number: 7</p> <p> ROI013_XY1657822944_Z00_T0_merged.tif - Image Id Number: 8</p> <p> ROI014_XY1657822945_Z00_T0_merged.tif - Image Id Number: 9</p> <p> ROI015_XY1657822946_Z00_T0_merged.tif - Image Id Number: 10</p> <p> ROI016_XY1657822947_Z00_T0_merged.tif - Image Id Number: 11</p> <p> ROI017_XY1657822948_Z00_T0_merged.tif - Image Id Number: 12</p> <p> ROI018_XY1657822949_Z00_T0_merged.tif - Image Id Number: 13</p> <p> </p> <p> </p>
Informing antenna design for Global 21-cm experiments using a simulated Bayesian data analysis pipeline (supplementary data)
<p>These are the posterior files, foreground simulation data sets and chromaticity factor values used to produce the results for <a href="https://arxiv.org/abs/2106.10193">arXiv:2106.10193</a>.</p> <p>Plots of the fitted signal and residuals for each case are included, as is a plotting function to reproduce key figures.</p> <p>Naming conventions:</p> <ul> <li>f0: Centre frequency of the 21cm signal present in the simulated data</li> <li>A: Amplitude of the simulated 21cm signal present in the simulated data</li> <li>M_sig: Model being fit to the data includes a 21cm signal</li> <li>M_nosig: Model being fit to the data is a foreground only</li> </ul> <p>Software used:</p> <ul> <li><a href="https://github.com/PolyChord/PolyChordLite/tree/839292290a7747dbee82933bb9f7f955ac45c3ca">PolyChord</a></li> </ul> <p> </p>
HeSANDA Design Phase information session
<p>This information session provides an introduction to the HeSANDA program, an overview of the Design Phase, and information for attendees about how they can be involved.</p> <p>You can watch the video on ARDC's YouTube channel: <a href="https://youtu.be/VROOXwUf9lI">https://youtu.be/VROOXwUf9lI</a></p>
Informes de casos de estudio finales en hábitats humanos (anexo del libro: La visión sistémica del ambiente construido, 2024). [Data sets for the article: The Habitat Intervention Design Process -Part II]
<p>From the book: Estos informes están escritos en español por los estudiantes que se mencionan en cada informe, quienes son los autores. Cada uno de estos seis documentos contiene casos de estudio y muestra la implementación de la metodología del 'Proceso de Diseño de Intervención del Hábitat' (IDP) en cada uno de los 6 casos mencionados en el libro (<strong>Capítulo 2.5 y Capítulo 3.2</strong>) (Libro: La visión sistémica del ambiente construido). </p> <p>Estos hacen parte de la Fase 2 Fundamentos Prácticos del Modelo del proyecto de investigación "Modelo Pedagógico para la Enseñanza del Diseño de Intervención del Hábitat en Programas de Educación Superior". </p> <p>From the article: These reports are Spanish-written. Each of these six documents contains one of the case studies and shows the implementation of the 'Habitat Intervention Design Process' (IDP) methodology in each of the 6 case studies mentioned in the article "The Habitat Intervention Design Process -Part II: A Transdisciplinary Model in the Pedagogy of the Design of the Built Environment" published in The International Journal of Design Education in its 2023 version. Find it here: <a href="https://doi.org/10.18848/2325-128X/CGP/v17i02/155-195">https://doi.org/10.18848/2325-128X/CGP/v17i02/155-195 </a></p>
Designing single-cell experiments to harvest fluctuation information while rejecting measurement noise
<p>Numerical simulation outputs and model schematic figures for the Python portion (main text 3.1 and Supporting Information) in the preprint <em>Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise</em> Huy D. Vo, Linda Forero, Luis Aguilera, Brian Munsky bioRxiv doi: https://doi.org/10.1101/2021.05.11.443611</p>
Building extended phenotypes using incomplete environmental information compromises their design and efficiency.
Open the record for dataset details and reuse information.
A co-development approach to conservation leads to informed habitat design and rapid establishment of amphibian communities
<p>1. Effective wildlife restoration is a critical requirement of many conservation actions. The outcome of conservation interventions can be optimised through knowledge of species' habitat requirements, but few studies consider the impact of using explicit evidence from dedicated local research to inform the design phase of habitat management. Furthermore, interventions administered externally from the top down, whilst simpler than those developed in discussion with multiple stakeholders including land managers (i.e. co-development), run the risk of failing to engage local people.</p> <p>2. In this study, we focus on interventions in the Scottish Highlands to improve the availability and suitability of breeding ponds for local amphibian assemblages. We collected and analysed data based on 129 ecological variables across 88 reference ponds to quantify the local habitat preferences. We used the findings from these analyses to inform the construction or restoration of 25 intervention ponds co-developed in partnership with stakeholders (landowners, foresters, citizen scientists and government agencies). Following the interventions, we monitored amphibian communities at these sites over 4 years. We assessed presence and abundance of all five native amphibians (the anurans Rana temporaria and Bufo bufo, and the salamanders Lissotriton helveticus, L. vulgaris and Triturus cristatus) using egg searching, dip-netting, torching and trapping.</p> <p>3. The new habitats were overall characterised by ecological conditions more favourable to amphibians than the reference ponds. We recorded a total of 51 colonisation events. Within two breeding seasons after construction or restoration, the intervention ponds hosted the full complement of species, mirroring amphibian diversity patterns found in the local reference ponds.</p> <p>4. Our study shows that ecological research to quantify local habitat requirements and working with commercial land-managers to ensure equitable benefits prior to designing conservation actions can promote rapid and efficient recovery of wildlife.</p>
Design of a near infrared fluorescent ureter imaging agent for prevention of ureter damage during abdominal surgeries - Supplemental Information
<p>Design of a near infrared fluorescent ureter imaging agent for prevention of ureter damage during abdominal surgeries - Supplemental Information</p>
FIGURE 1 in A new terrestrial talitrid genus from the Philippine Islands (Crustacea, Amphipoda, Talitrida, Talitridae) and the designation of two informal subgroups
FIGURE 1. Curiotalitrus curio (Javier & Coleman, 2010). Male: a. telson; b. uropod 3; c. habitus; d. gnathopod 2; e. maxilliped palp; f. gnathopod 1; g. mandible, left incisor, lacinia mobilis; h. pereopod 4, distal articles; i. uropod 1; j. gnathopod 1, distal articles; k. pereopod 4, dactylus; l. pleopod 1; m. pleopod 3; o. pleopod 2. Female: n. uropod 1 (after Javier & Coleman, 2010, except g).
Supplementary Information of Multistage Provincial Power Expansion Planning and Market Design toward Energy Transition: A Case Study of Xinjiang in China
<p>Supplementary Information of Multistage Provincial Power Expansion Planning and Market Design toward Energy Transition: A Case Study of Xinjiang in China</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.