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4,182 results for “universities”
University of California Santa Barbara Invertebrate Zoology Collection (UCSB-IZC)
<p>Data archive (Darwin Core) from University of California Santa Barbara Invertebrate Zoology Collection, Cheadle Center for Biodiversity and Ecological Restoration.</p> <p>Collection Statistics</p> <ul> <li>40,220 specimen records</li> <li>38,705 (96%) georeferenced</li> <li>19,899 (49%) with images (31,098 total images)</li> <li>69 GenBank genetic references</li> <li>11,674 (29%) identified to species</li> <li>367 families</li> <li>903 genera</li> <li>915 species</li> <li>937 total taxa (including subsp. and var.)</li> </ul>
Assessing Grid Affordability for Universal Electricity Access in Sub-Saharan Africa
<p>This repository contains all the necessary original data for the publication <em>"Assessing Grid Affordability for Universal Electricity Access in Sub-Saharan Africa."</em> It includes the original documents detailing the tariff structures of 48 SSA countries, as well as population data, the Gini index, and gross national income per capita, which are used to simulate income distribution. Additionally, it provides calculator tools for estimating electricity bills based on the Multi-Tier Framework and assessing grid electricity affordability by comparing simulated income with electricity costs.</p> <p>The related code and result datasets supporting this publication are available through the GitHub public repository: <a href="https://rb.gy/f68tx5" target="_new" rel="noopener">https://rb.gy/f68tx5</a>.</p>
Adaptation of the Texas Christian University Organisational Readiness for Change Short Form (TCU-ORC-SF) for use in primary health facilities in South Africa
<p><b>Objectives: </b>The Texas Christian University Organisational Readiness for Change Scale (TCU-ORC) assesses factors influencing adoption of evidence-based practices. It has not been validated in low- and middle-income countries (LMIC). This study assessed its psychometric properties in a South African setting with the aim of adapting it into a shorter measure.</p> <p><b>Methods: </b>This study was conducted in 24 South African primary health care clinics in the Western Cape Province. The TCU-ORC and two other measures, the Organisational Readiness to Change Assessment (ORCA) and the Checklist for Assessing Readiness for Implementation (CARI) were administered. The questionnaire was re-administered after 2 weeks to obtain data on test-retest reliability. Three hundred and ninety-five surveys were completed: 281 participants completed the first survey, and 118 re-completed the assessments.</p> <p><b>Results: </b>We used exploratory factor analysis (EFA) to identify latent dimensions represented in the data. Cronbach's alpha for each subscale was assessed and we examined the extent to which the subscales and total scale scores for the first and retest surveys correlated. Convergent validity was assessed by the correlation coefficient between the TCU-ORC, ORCA and CARI total scale scores. EFA resulted in a three-factor solution.<b> </b>The three subscales proposed are Clinic Organisational Climate (8 items), Motivational Readiness for Change (13 items), and Individual Change Efficacy (5 items) (26 items total). Cronbach's alpha for each subscale was >.80. The overall shortened scale had a test-retest correlation of <i>r = </i>.80, <i>p </i>< 0.01, acceptable convergent validity with the ORCA scale (<i>r</i> = .56, <i>p </i>< .05), moderate convergence with the CARI (<i>r = </i>39, p<i><</i>.05) and strong correlation with the original scale (r = 0.79, p <i>< </i>.05).</p> <p><b>Conclusions: </b>This study presents the first psychometric data on the TCU-ORC from a LMIC. The proposed shortened tool may be more feasible for use in LMICs.</p>
An example of critical thinking (CT) snippets usage at Fourah Bay College, University of Sierra Leone
<p>Recorded students & lecturer WhatsApp group conversation while going through the 'CT snippets' which are based on INASP's online course 'Questioning as we learn: An introduction to critical thinking'</p>
Validation of Work Values Instrument in Final Year University Students
<p><em>This is the raw dataset when we conducted the adaptation of the work values instrument in final year students. The number of participants in this study was 316 students, comprised of final year students from various majors who were selected by quota sampling. The raw dataset has been disseminated in the undergraduate thesis defense, so the publication date stated above is referring to it. The raw data set has never been published elsewhere. </em></p>
Big Five Inventory scores for University Students with relevant item scores reversed.
<ul> <li>First Year (n = 97, cohort 6). Sample details, 55% Male, 45% Female; age profile, typically 18-19*; 94% UK, 6% international. </li> <li>Final Year (n = 44, cohort 7): Sample details: 41% Male, 59% Female; age profile 20-35, m = 22.3; 84% UK, 16% international. </li> <li>Masters (n = 51, cohort 8): Sample details: 43% Male, 57% Female; age profile 20-36, m = 24.3; 49% UK, 51% international. </li> </ul>
Data and scripts accompanying the paper "University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0"
<p>The archive contains datasets, run scripts and plotting scripts used when preparing the paper:<br> P. Dziekan and P. Zmijewski "University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0: Adaptation of a mixed Eulerian-Lagrangian numerical model for heterogeneous computing clusters"<br> submitted to Geoscientific Model Development on 19.11.2021.<br> </p>
Tampere University Rotated Circular Array Impulse Response Dataset(TUNI-RCAIR)
<p>The TUNI-RCAIR dataset consists of impulse responses collected from different spaces in the Tampere university campus, Finland. </p> <p>Each folder represents a data collection environment, and it consists of impulse responses and recorded data in the form of wav files. Each space has its own three alphabet identifier, for example- Anechoic chamber is represented as AEC. The folder names indicate the space and corresponding identifier</p> <p>There are seven different data collection environments, and the distance between the source and receiver is varied thrice (0.7m, 1.4m, and 2.1m), which can be found in the names of the sub folders.</p> <p>Further details about the dataset, the characteristis of the space used for data collection, can be found in the page - <strong>https://tuni-rcair.github.io/</strong></p> <p>This dataset is accepted as a part of EUSIPCO 2021, the name of the corresponding paper is, "Tampere University Rotated Circular Array Dataset". The link to the paper will be updated.</p> <p>EUSIPCO paper DOI - https://doi.org/10.23919/EUSIPCO54536.2021.9616072</p> <p>For citation please use - A. V. Venkatakrishnan, P. Pertilä and M. Parviainen, "Tampere University Rotated Circular Array Dataset," 2021 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 201-205, doi: 10.23919/EUSIPCO54536.2021.9616072.</p> <p> </p>
Evolutionary Map of the Universe (EMU): discovering 18-cm OH maser sources in ASKAP continuum images of the SCORPIO field
<p>Data cubes and spectra from the ATCA C3414 project.</p> <p>Data cubes are in fits format.</p> <p>Spectra were extracted from the data cubes following what described in the text. The format is the standard output of the CASA profile tools. Each spectrum contains an header with the column description.</p>
Stanza Models for Morphologically enhanced Universal Dependencies for Korean (morphUD)
<p>Stanza (<a href="https://stanfordnlp.github.io/stanza/">Stanford NLP Group</a>) models for Morphologically enhanced Universal Dependencies for Korean (morphUD) including ko.vectors.xz files for morphUD and wordUD. </p> <p> </p> <p>Embedding files are generated with https://doi.org/10.5281/zenodo.5869738</p> <p> </p> <p>All files are listed in file.txt </p> <p> </p>
Deep-sequence phylogenetics to quantify patterns of HIV transmission in the context of a universal testing and treatment trial – BCPP/ Ya Tsie trial
<p><strong>Background:</strong> Mathematical models predict that community-wide access to HIV testing-and-treatment can rapidly and substantially reduce new HIV infections. Yet several large universal test-and-treat HIV prevention trials in high-prevalence epidemics demonstrated variable reduction in population-level incidence.</p> <p><strong>Methods:</strong> To elucidate patterns of HIV spread in universal test-and-treat trials we quantified the contribution of geographic-location, gender, age and randomized-HIV-intervention to HIV transmissions in the 30-community Ya Tsie trial in Botswana (estimated trial population: 175,664).</p> <p><strong>Results:</strong> Deep-sequence phylogenetic analysis revealed that most inferred HIV transmissions within the trial occurred within the same or between neighboring communities, and between similarly-aged partners. Transmissions into intervention communities from control communities were more common than the reverse post-baseline (30% [12.2 – 56.7] versus 3% [0.1 – 27.3]) than at baseline (7% [1.5 – 25.3] versus 5% [0.9 – 22.9]) compatible with a benefit from treatment-as-prevention.</p> <p><strong>Conclusion:</strong> Our findings suggest that population mobility patterns are fundamental to HIV transmission dynamics and to the impact of HIV control strategies.</p> <p><strong>Funding:</strong> This study was supported by the National Institute of General Medical Sciences (U54GM088558); the Fogarty International Center (FIC) of the U.S. National Institutes of Health (D43 TW009610); and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention (CDC) (Cooperative agreements U01 GH000447 and U2G GH001911).</p>
Demonstration of fault-tolerant universal quantum gate operations
<p>Source data underlying the graphical representations used in the figures and corresponding executed quantum circuits.</p>
TRINITY open access data repository data set 2 by Budapest University of Technology and Economics
<p>Horizon 2020 programme supports access to and reuse of research data generated by Horizon 2020 projects through the Open Research Data Pilot (ORDP). To support the validation of scientific results, the pilot focuses on providing access to data needed to validate the scientific results. There are several types of such data, e.g. machine learning data sets, models, measurements, statistical results of experiments, survey outcomes, etc.</p> <p>This deliverable summarizes the data that are expected to be collected in the course of the project and where and how they are stored. The aspect of providing open access to research data (as required by the European Commission’s Open Research Data Pilot, <a href="https://www.openaire.eu/what-is-the-open-research-data-pilot">https://www.openaire.eu/what-is-the-open-research-data-pilot</a>) is addressed in Section 3. Finally, in Section 4 we describe the data sets that were or are expected to be generated within the TRINITY projects and made freely available.</p>
TRINITY open access data repository by Budapest University of Technology and Economics
<p>Horizon 2020 programme supports access to and reuse of research data generated by Horizon 2020 projects through the Open Research Data Pilot (ORDP). To support the validation of scientific results, the pilot focuses on providing access to data needed to validate the scientific results. There are several types of such data, e.g. machine learning data sets, models, measurements, statistical results of experiments, survey outcomes, etc.</p> <p>This deliverable summarizes the data that are expected to be collected in the course of the project and where and how they are stored. The aspect of providing open access to research data (as required by the European Commission’s Open Research Data Pilot, <a href="https://www.openaire.eu/what-is-the-open-research-data-pilot">https://www.openaire.eu/what-is-the-open-research-data-pilot</a>) is addressed in Section 3. Finally, in Section 4 we describe the data sets that were or are expected to be generated within the TRINITY projects and made freely available.</p>
Influence of a university cooperation on the development of interprofessional competences
<p class="MsoNormal"><strong><span>Objectives</span></strong></p> <p class="MsoNormal"><span>This project carried out in cooperation between the University of Applied Sciences for Health Professions Upper Austria (UASHPUA) and the Medical Faculty of Johannes Kepler University Linz (MFJKUL), describes the feasibility, i.e., the planning and implementation, and presents selected results of an inter-university lecture on interprofessional cooperation. </span></p> <p class="MsoNormal"><strong><span>Methodology</span></strong></p> <p class="MsoNormal"><span>The lecture "Grundlagen zu interprofessioneller Zusammenarbeit im Gesundheitswesen (IPZ3I)" / "<a>Introduction to interprofessional cooperation in health care </a></span><span>(IPZ3I)") as well as an interprofessional job shadowing were designed. The pilot lecture started in the winter semester (WS) 2019/20. An evaluation of IPZ3I was undertaken by means of a questionnaire. </span></p> <p class="MsoNormal"><strong><span>Results</span></strong></p> <p class="MsoNormal"><span>IPZ3I was held in WS 2019/20 for 296 students from nine different health care professions and included a specialist lecture, the presentation of the professions, and interprofessional case processing. In the evaluation approx. 80 % of the students described a better understanding of the interprofessional collaboration. More than 70 % regard interprofessional courses in education as important or very important. The majority of respondents indicate that after completing the lecture they can make recommendations for action for interprofessional cooperation. </span></p> <p class="MsoNormal"><strong><span>Conclusions</span></strong></p> <p class="MsoNormal"><span>The joint lecture IPZ3I will be maintained at both universities. The process of evaluation and adaptation of curricula at UASHPUA is currently underway. This includes, for instance, consultations with the curriculum officers at MFJKUL, and the exploration of further possibilities to identify and to implement joint interprofessional teaching aspects in the curricula. This shall be achieved by considering the existing resources, increasing student numbers at MFJKUL as of 2023, planned curricula revisions as well as using possible synergies aiming at an extension of the existing cooperation. </span></p> <p class="MsoNormal"><strong><span>Key words</span></strong></p> <p class="MsoNormal"><span>Interprofessionalism; project description; curriculum development; competency-based education </span></p>
A nuclear phylogenomic study of the angiosperm order Myrtales, exploring the potential and limitations of the universal Angiosperms353 probe set
<p>The premise of this study is to further advance the understanding of the species-rich, economically and ecologically important Myrtales, an angiosperm order in the rosid clade comprising nine families, approximately 400 genera and almost 14000 species occurring on all continents (except Antarctica). The potential of High Throughput Sequencing (HTS) and target enrichment with the Angiosperms353 probe kit is evaluated on a sample of 485 species in 305 genera (76% of all genera in the order). Results provide technical considerations for processing HTS data and the most comprehensive phylogenetic hypothesis for the order to date. Relationships at all ranks such as the relationship of the early diverging families, often reflect previous studies, but gene conflict is evident, and relationships previously found to be uncertain often remain so. HTS and the Angiosperms353 probe kit are powerful tools for phylogenomic analysis, but better understanding of the genetic data available is required to enable selection of genes and gene trees that account for incomplete lineage sorting and hybridisation events. </p>
The effect of local universe constraints on halo abundance and clustering
<p>These archives contain the data products described in "The effect of local universe constraints on halo adundance and clustering" by M. L. Hutt, H. Desmond, J. Devriendt and A. Slyz (2022). See the README for further details.</p>
Strategic low-cost energy investment opportunities and challenges towards achieving universal electricity access (SDG7) in forty-eight African nations.
<p>This dataset underpins the study "Strategic low-cost energy investment opportunities and challenges towards achieving universal electricity access (SDG7) in forty-eight African nations".</p> <p>The study provides insights into energy supply and demand, power generation, investments and total system costs, SD7 indicators, job creation as well as carbon dioxide emissions for each African nation (48 in total).</p> <p>An energy systems model enhanced with geospatial data was developed to evaluate energy supply requirements to cover the energy needs of the African continent during the period 2015-2030 and achieve universal access by 2030. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS and the geospatial electrification outlook (GEP). The objective function is to minimise the total energy system costs. </p> <p>The results can be found https://doi.org/10.5281/zenodo.6468262</p>
Strategic low-cost energy investment opportunities and challenges towards achieving universal electricity access (SDG7) in forty-eight African nations
<p>The attached modeling results underpin the study "Strategic low-cost energy investment opportunities and challenges towards achieving universal electricity access (SDG7) in forty-eight African nations".</p> <p>The study provides insights into energy supply and demand, power generation, investments and total system costs, SD7 indicators, job creation as well as carbon dioxide emissions for each African nation (48 in total).</p> <p>An energy systems model enhanced with geospatial data was developed to evaluate energy supply requirements to cover the energy needs of the African continent during the period 2015-2030 and achieve universal access by 2030. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS and the geospatial electrification outlook (GEP). The objective function is to minimise the total energy system costs. </p> <p>The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation.</p> <p>The OSeMOSYS model and input data used to produce these results can be found at JoPapp/jrc_temba: v1.0.2 [Data set]. Zenodo.https://doi.org/10.5281/zenodo.6468278 (Authors: Ioannis Pappis. (2021)).</p>
IAGOS-CARIBIC Halocarbon data Goethe University Frankfurt
<p>Halocarbon analysis of Whole Air Samples,</p><p>Whole air sample data from CARIBIC II (onboard Airbus A340 600 HE of Lufthansa)</p><p>www.caribic-atmospheric.com</p><p>https://www.iagos.org/</p><p>https://iagos.aeris-data.fr/</p><p>Dry mole fractions of selected halgenated compounds.</p><p>Technical details regarding sample collection and laboratory analysis published in:</p><p>T.J. Schuck, C.A.M. Brenninkmeijer, F. Slemr, I. Xueref-Remy, A. Zahn<br>Greenhouse gas analysis of air samples collected onboard the CARIBIC passenger aircraft<br>Atmos. Meas. Tech. 2 (2009) 449–464, doi: 10.5194/amt-2-449-2009.</p><p>Schuck, T. J., Blank, A.-K., Rittmeier, E., Williams, J., Brenninkmeijer, C. A. M., Engel, A., and Zahn, A.: Stability of halocarbons in air samples stored in stainless- steel canisters, Atmos. Meas. Tech., 13, 73–84, https://doi.org/10.5194/amt-13-73-2020, 2020. </p><p>Hoker, J., Obersteiner, F., Bönisch, H., and Engel, A.: Comparison of GC/time-of-flight MS with GC/quadrupole MS for halocarbon trace gas analysis, Atmos. Meas. Tech., 8, 2195–2206, https://doi.org/10.5194/amt-8-2195-2015, 2015.</p><p>Brenninkmeijer, C. A. M., Crutzen, P., Boumard, F., Dauer, T., Dix, B., Ebinghaus, R., Filippi, D., Fischer, H., Franke, H., Frieβ, U., Heintzenberg, J., Helleis, F., Hermann, M., Kock, H. H., Koeppel, C., Lelieveld, J., Leuenberger, M., Martinsson, B. G., Miemczyk, S., Moret, H. P., Nguyen, H. N., Nyfeler, P., Oram, D., O'Sullivan, D., Penkett, S., Platt, U., Pupek, M., Ramonet, M., Randa, B., Reichelt, M., Rhee, T. S., Rohwer, J., Rosenfeld, K., Scharffe, D., Schlager, H., Schumann, U., Slemr, F., Sprung, D., Stock, P., Thaler, R., Valentino, F., van Velthoven, P., Waibel, A., Wandel, A., Waschitschek, K., Wiedensohler, A., Xueref-Remy, I., Zahn, A., Zech, U., and Ziereis, H.: Civil Aircraft for the regular investigation of the atmosphere based on an instrumented container: The new CARIBIC system, Atmos. Chem. Phys., 7, 4953–4976, https://doi.org/10.5194/acp-7-4953-2007, 2007.</p><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.