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987
datasets available to search
ShareScore release 0.9.0
Dataset results
987 results for “interviews”
Motivational Interviewing to Prevent Suicide in High Risk Veterans
ClinicalTrials.gov study NCT01544127. IPD Sharing: NO. Countries: 1. Publications: 1.
Impact of Group Motivational Interviewing and In-Home-Messaging-Devices for Dually Diagnosed Veterans
ClinicalTrials.gov study NCT00706901. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Three Strategies for Implementing Motivational Interviewing on Medical Inpatient Units
ClinicalTrials.gov study NCT01825057. IPD Sharing: YES. Countries: 1. Publications: 3.
Mobile Phone Text Messaging Plus Motivational Interviewing: Effects on Breastfeeding, Child Health Outcomes
ClinicalTrials.gov study NCT05063240. IPD Sharing: YES. Countries: 1. Publications: 2.
Intensive Motivational Interviewing for Methamphetamine Dependence
ClinicalTrials.gov study NCT01071356. IPD Sharing: NO. Countries: 1. Publications: 12.
Couple-Based Motivational Interviewing With Mobile Breathalyzers to Reduce Alcohol Use in South Africa
ClinicalTrials.gov study NCT05756790. IPD Sharing: YES. Countries: 1. Publications: 7.
Motivational Interviewing to Promote Healthy Behaviours in Young Adults
ClinicalTrials.gov study NCT05264740. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effect of a Structured, Home-based Interview With a Patient on First-year Medical Students' Patient-centredness.
ClinicalTrials.gov study NCT03722810. IPD Sharing: YES. Countries: 1. Publications: 17.
Motivational Interviewing to Improve Medication Adherence Among Hispanic Adults With Depression
ClinicalTrials.gov study NCT00356304. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Presumptively Initiating Vaccines and Optimizing Talk With Motivational Interviewing (PIVOT With MI)
ClinicalTrials.gov study NCT03885232. IPD Sharing: NO. Countries: 1. Publications: 2.
Internet-Based Motivational Interviewing for Colonoscopy
ClinicalTrials.gov study NCT03595904. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Interview guide of study conducted on: Identification of the challenges teachers face in teaching small problem-based learning (PBL) groups in the College of Medicine, King Faisal University, Kingdom of Saudi Arabia
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Semi-structured interviews about sustainable and equitable development in the USA
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Appendices interview formats
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Data from: Community Credit interviews on trust in consumer financial services
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Appendix from: Understanding challenges and strengths in the post-dairy farm surplus calf value chain: An interview study
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Interviews from field research in Rio de Janeiro State - Brazil
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Subspecies and Distribution. R. c. cognatus K Andersen, 1906 - Andaman Is (South Andaman). R. c. famulus K. Andersen, 1918 - Andaman Is (North, Point, Interview, Baratang, and Narcondam). The species is not known from the Nicobar Is, despite a number of sources listing it from them. in Rhinolophidae
Subspecies and Distribution. R. c. cognatus K Andersen, 1906 - Andaman Is (South Andaman). R. c. famulus K. Andersen, 1918 - Andaman Is (North, Point, Interview, Baratang, and Narcondam). The species is not known from the Nicobar Is, despite a number of sources listing it from them.
Metadata for Research Data: A Needs Assessment in The Sciences Interview Transcript Dataset
<ul> <li>Transcripts of eight semi-structured interviews with researchers from life and natural sciences about their wishes and requirements for metadata for research data</li> <li>Interview guide (Interviewleitfaden) that was used to conduct all 8 Interviews</li> <li>Needs assessment in order to develop new needs-based Research Data Management services</li> <li>This dataset forms the basis of a Master's Thesis "Metadaten für Forschungsdaten: Bedürfnisse und Anforderungen in den Naturwissenschaften" (= Metadata for Research Data: A Needs Assessment in The Sciences) in Library and Information Science at the Humboldt University of Berlin (2019)</li> <li>The study was conducted as part of the work package "Metadata" of the Austrian project <a href="https://www.e-infrastructures.at/en/work-packages/metadata/">e-Infrastructures Austria Plus</a> (2017-2019)</li> <li>Transcripts of the Interviews C, E, F are in English; Transcript of the interviews A, B, D, G, H are in German</li> <li>Abstract (DE): Bei der Entwicklung von bedarfsgerechten Services im Bereich eScience sind Untersuchungen der Bedürfnisse und Anforderungen der Zielgruppen von besonderer Relevanz. Angelehnt an die Grounded Theory wurden im Rahmen des österreichweiten Projektes e-Infrastructures Austria Plus von April bis Mai 2019 acht Leitfadeninterviews mit Naturwissenschaftlern von der Universität Wien und der Medizinischen Universität Wien durchgeführt. Die Ergebnisse zeigen, dass ein Verständnis des Begriffes „Metadaten“ unter Forschenden noch nicht flächendeckend vorhanden ist. Es konnten aber mehrere Beispiele der Beschreibung von Daten in der Praxis identifiziert, sowie sechs Bereiche an Wünschen der Forschenden herausgearbeitet werden. Diese beschäftigen sich u. a. mit der Notwendigkeit, Services auf Deutsch und Englisch zu konzipieren, mit den Anforderungen an technische Infrastruktur oder dem Wunsch nach dem Einsatz von Data Stewards, die Fachkenntnisse aus einer relevanten Disziplin mitbringen.</li> <li>Abstract (EN): When developing needs-based services for eScience, studies of the needs and requirements of the target groups are of particular relevance. Based on the Grounded Theory, eight guided interviews with scientists from the University of Vienna and the Medical University of Vienna were conducted from April to May 2019 within the framework of the Austria-wide project e-Infrastructures Austria Plus. The results show that an understanding of the term "metadata" among researchers is not yet widely available. However, the study identifies several examples of describing data as well as six areas of researchers' needs in this area. These cover, among other things, the need to design services in German and English, the requirements for technical infrastructure or the desire to use data stewards who bring expertise from a relevant discipline.</li> </ul>
Data from: Robust inference on large-scale species habitat use with interview data: the status of jaguars outside protected areas in Central America
Evaluating range-wide habitat use by a target species requires information on species occurrence over broad geographic regions, a process made difficult by species rarity, large spatiotemporal sampling domains, and imperfect detection. We address these challenges in an assessment of habitat use for jaguars (Panthera onca) outside protected areas in Central America. Occurrence records were acquired within 12 putative corridors using interviews with knowledgeable corridor residents. We developed a Bayesian hierarchical occupancy model to gain robust inference, allowing for heterogeneity introduced in the sampling process over space and time, using records of jaguar occurrence prone to false positives and false negatives. Probability of false detection of jaguars increased with the number of interviews conducted per unit (from 5.42% to 7.74% given <4 and ≥4 observers per unit). True probability of detection (mean=0.58) increased with the number of days interviewees spent in a survey unit per year. Failing to account for false positives biased predicted habitat use high (˜1.8x), especially where occurrence records were sparse. Probability of site use by jaguars increased with greater forest cover, prey richness, and distance from human settlements, and decreased with greater agricultural cover, elevation, and distance from protected areas. Site use probabilities averaged 0.15-0.97 by corridor, providing relatively fine-scale resolution of predicted jaguar occurrence consistent with known patterns of jaguar gene flow across Central America. Model validation, accounting for both false positives and negatives in the observation process, indicated moderate correspondence between model-predicted observations and actual observations for withheld data (0.65, 95% CRI 0.59–0.71), with sensitivity and specificity rates of 0.69 (0.61 – 0.77) and 0.59 (0.50 – 0.68), respectively. These results demonstrate that reliable predictions can be achieved despite the complexity of large-scale, interview-based analyses of species occurrence. Synthesis and applications. Our Bayesian hierarchical occupancy model accommodated heterogeneity caused by typical sampling inequities and idiosyncrasies associated with interview data, yielding robust estimates of jaguar habitat use. Our approach is applicable to any wide-ranging and readily identifiable species and has particular utility for rare species in human-dominated landscapes where traditional survey techniques (e.g., camera traps) may be impractical.
ScienceDex guides
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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.