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1,561 results for “institutions”
Changing wildfire complexity highlights the need for institutional adaptation
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Institutional Collaboration in the US LTER Network based on bibliometric information (1981-2018)
This is a dataset of supplementary materials of an accepted article in Bioscience entitled "Collaboration across time and space in LTER Network". It is based on the bibliography data maintained by LTER Network Office (https://www.zotero.org/groups/2055673/lter_network/items). The analysis was carried out in 2019 with the updated data collecting from individual sites. The dataset contains the basic information that the analysis relies on, and the temporal and spatial patterns of institutional collaboration in the US LTER Network.
UAE HEIs open access institutional survey
<p>These are the anonymized results from a survey run in 2019. The survey was aimed at research universities in the United Arab Emirates. The survey was designed to explore the role of HEIs in the United Arab Emirates (UAE) OA uptake and reflect on the ongoing international initiatives pushing for universal OA to research.</p>
DigitalHabsburgPlatform/example-data: DHP I administration data, incl. institutions
<p>Re-release with institutions from MPR</p>
DCC RDM2014 Survey Responses by Institutional Research Income
<p>Responses downloaded from Bristol Online Survey, with analysis in Excel. Responses have been anonymised.</p>
The Software Sustainability Institute's Collaborations Workshop 2015 (CW15) attendees computational tools word-cloud
<p>Word cloud representing the computational tools used by those attending the Software Sustainability Institute's Collaborations Workshop 2015 (CW15).</p> <p>For more information see www.software.ac.uk/cw15</p> <p>Please note there is an ERROR in the diagram for some reason wordle.net did not pickup 'R' in the dataset - http://dx.doi.org/10.5281/zenodo.19828 - i.e. the usage of R in research software in the people who attended CW15 is not represented in this diagram.</p>
Molecular investigation of bacterial communities on two frequently used surfaces in the São Paulo institute of tropical medicine
<p>In this study, we aimed to investigate the overall bacterial population on two frequently used surfaces in the São Paulo institute of tropical medicine (ITM) using a culture-independent Illumina massively parallel sequencing approach of the 16S rRNA genes. The massive parallel sequencing data presented here were derived from the surface samples collected from restroom surfaces and the fingerprint door clock system (FDLS) in our ITM in São Paulo.</p>
Services of AS CR Library in the area of scientific publications (not only) for AS CR Institutes
<p>Since 1994, the Library of the Academy of Sciences of the Czech Republic has been the coordinator of bibliographic database ASEP, which contains the records of publishing activities of 54 institutes of the Academy of Sciences of the Czech Republic (AS CR). Bibliographic records are collected in the Institatunional Repository of the ASCR, data is saved in the librarian system Advanced Rapid Library (ARL), the data is published as an on-line catalogue. The article describes how different groups of users – administrators, authors, representatives of institutes and AS CR can use this system. In details is decribed software ASEP Analytics which was created as a software extension that provides analytical reports derived by a combination of queries and calculations from the data stored in the ASEP database, which cannot be displayed directly in the catalogue.</p>
A MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)
<p><em>(Version 20161027) </em></p> <p><strong><em>Edit #1 (May 23, 2017): New database version (v.2 - 20170523) - available</em>: </strong> <a href="https://doi.org/10.5281/zenodo.582602">10.5281/zenodo.582602</a></p> <p><strong><em>Edit #2 (Nov 30, 2018): New database version (v.3 - 20181130) - available</em>: </strong> <a href="https://doi.org/10.5281/zenodo.1880975">10.5281/zenodo.1880975</a></p> <p><strong><em>Edit #3 (Mar 06, 2023): New database version (v.4.2 - 20230306) - available</em>: </strong> <a href="https://zenodo.org/records/14562231">10.5281/zenodo.7702375</a></p> <p> </p> <p>The Robert Koch-Institute (RKI) database of microbial MALDI-TOF mass spectra contains mass spectral entries from highly pathogenic (biosafety level 3, BSL-3) bacteria such as <em>Bacillus anthracis</em>, <em>Yersinia pestis</em>, <em>Burkholderia mallei</em>, <em>Burkholderia pseudomallei</em> and <em>Francisella tularensis</em> as well as a selection of spectra from their close and more distant relatives. The RKI mass spectral database can be used as a reference for the diagnostics of BSL-3 bacteria using proprietary and free software packages for MALDI-TOF MS-based microbial identification. The database itself is distributed as a zip archive that contains the original mass spectra in its native data format (Bruker Daltonics). Please refer to the pdf file (161027-ZENODO-Metadata.pdf) to obtain information on the metadata of the spectra. Do not try to print this document (~1000 pages!)</p> <p>The pkf-file (161027_zenodo_Peaklist_(30Peaks1,6).pkf ) contains <em>so-called</em> database spectra in a Matlab compatible format. The latter data file can be imported into MicrobeMS, a Matlab-based free-of-charge software solution developed at the RKI. MicrobeMS is available from http://www.microbe-ms.com.</p> <p>For the future it is intended to update the RKI database of MALDI-TOF mass spectra on a regular basis.</p> <p>The author's grateful thanks are given to the following persons for providing microbial strains and species. Without their help this work would not be possible.</p> <ul> <li>Wolfgang Beyer - University of Hohenheim, Faculty of Agricultural Sciences, Stuttgart, Germany</li> <li>Guido Werner - Robert Koch-Institute, <em> Nosocomial Pathogens and Antibiotic Resistances</em> (FG13), Wernigerode, Germany</li> <li>Alejandra Bosch - CINDEFI, CONICET-CCT La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina</li> <li>Michal Drevinek - National Institute for Nuclear, Biological and Chemical Protection, Milin, Czech Republic</li> <li>Roland Grunow - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li>Daniela Jacob - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li>Silke Klee - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li>Jörg Rau - Chemisches und Veterinäruntersuchungsamt Stuttgart, Fellbach, Germany</li> <li>Jens Jacob - Robert Koch-Institute, <em>Hospital Hygiene, Infection Prevention and Control </em>(FG14), Berlin, Germany</li> <li>Martin Mielke - Robert Koch-Institute, <em>Department 1 - Infectious Diseases</em>, Berlin, Germany</li> <li>Monika Ehling-Schulz - Functional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria</li> </ul> <p> </p>
Version 2 (20170523) of the MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)
<p><em>(Version </em>20170523<em>) </em></p> <p><strong><em>Edit #1 (Nov 30, 2018): New database version (v.3 - 20181130) - available</em>: </strong> <a href="https://doi.org/10.5281/zenodo.1880975">10.5281/zenodo.1880975</a></p> <p><strong><em>Edit #2 (Mar 06, 2023): New database version (v.4.2 - 20230306) - available</em>: </strong> <a href="https://zenodo.org/records/14562231">10.5281/zenodo.7702375</a></p> <p>Version 2 (20170523) of the RKI’s MALDI-TOF mass spectral database is an update of the original database (version 20161027, https://doi.org/10.5281/zenodo.163517). The RKI database contains mass spectral entries from highly pathogenic (biosafety level 3, BSL-3) bacteria such as <em>Bacillus anthracis</em>, <em>Yersinia pestis</em>, <em>Burkholderia mallei</em>, <em>Burkholderia pseudomallei</em> and <em>Francisella tularensis</em> as well as a selection of spectra from their close and more distant relatives. The database can be used as a reference for the diagnostics of BSL-3 bacteria using proprietary and free software packages for MALDI-TOF MS-based microbial identification. Spectral data are distributed as a 7-zip archive that contains the original mass spectra in its native data format (Bruker Daltonics). Please refer to the pdf file (170523-ZENODO-Metadata.pdf) to obtain information on the metadata of the spectra. Do not try to print this document (~1100 pages!)</p> <p>The pkf-file (170523_ZENODO_Peaklist_30Peaks_1.6.pkf) contains the MS peak list data in a Matlab compatible format. The latter data file can be imported into MicrobeMS, a Matlab-based free-of-charge software solution developed at RKI. MicrobeMS is available from http://www.microbe-ms.com.</p> <p>The RKI mass spectral database will be updated on a regular basis.</p> <p>The author's grateful thanks are given to the following persons for providing microbial strains and species. Without their help this work would not be possible.</p> <ul> <li><strong>Wolfgang Beyer</strong> - University of Hohenheim, Faculty of Agricultural Sciences, Stuttgart, Germany</li> <li><strong>Guido Werner</strong> - Robert Koch-Institute, <em>Nosocomial Pathogens and Antibiotic Resistances</em> (FG13), Wernigerode, Germany</li> <li><strong>Alejandra Bosch</strong> - <em>CINDEFI, CONICET-CCT</em> La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina</li> <li><strong>Michal Drevinek</strong> - National Institute for Nuclear, Biological and Chemical Protection, Milin, Czech Republic</li> <li><strong>Roland Grunow</strong> - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li><strong>Daniela Jacob</strong> - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li><strong>Silke Klee</strong> - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li><strong>Jörg Rau</strong> - Chemisches und Veterinäruntersuchungsamt Stuttgart, Fellbach, Germany</li> <li><strong>Jens Jacob</strong> - Robert Koch-Institute, <em>Hospital Hygiene, Infection Prevention and Control </em>(FG14), Berlin, Germany</li> <li><strong>Martin Mielke</strong> - Robert Koch-Institute, <em>Department 1 - Infectious Diseases</em>, Berlin, Germany</li> <li><strong>Monika Ehling-Schulz</strong> - Functional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria</li> <li><strong>Armand Paauw</strong> - Department of Medical Microbiology, CBRN protection, Universitair Medisch Centrum Utrecht, TNO, Rijswijk, The Netherlands</li> </ul>
Sporting Institute Statistics Experiment
<p>Created for Exercise 3 in Digital Preservation Exercises (Course at Vienna University of Technology).</p> <p>Experiment that generates statistics from open data on sporting institutes in Vienna. The script is written in Python, the data comes as plain text as well as graphs in .eps format. See README.md for details.</p> <p>Results of the experiment are written in German.</p>
The best of both worlds: Bringing together community knowledge and design with institutional archives
<p>The best of both worlds: Bringing together community knowledge and design with institutional archives</p> <p>Vera Ferreira, Buachut Watyam, Siripen Ungsitpoonporn, & Mandana Seyfeddinipur</p> <p>Presented 7 October 2022 at the Berlin-Brandenburg Academy of Sciences and Humanities Where Do We Need to Go From Here? Language Documentation and Archiving in the International Decade of Indigenous Languages</p>
Knowledge of Primary Health Care Nurses at Selected Public Institutions Regarding Prescription of Antihypertensive Drugs
<p>Hypertension has been among the most studied topics of the previous century and has been one of the most significant comorbidities contributing to the development of stroke, myocardial infarction, heart failure, and renal failure. In the mist of that, there is limited data on nurses’ knowledge regarding prescription of antihypertensive drugs in Lesotho. The aim of this study was to assess primary health care nurses’ knowledge regarding prescription of antihypertensive drugs. Quantitative descriptive cross-sectional study of primary health care nurses recruited by purposive sampling was conducted. An electronic questionnaire was used to collect data and data were analyzed using descriptive statistics. Most participants were females and had attained diploma in general nursing and midwifery. A proportion of 26% fully knew the steps to be followed for diagnosing hypertension and only 23% felt highly confident to initiate patients on antihypertensive drugs. Moreover, knowledge on mechanism of action of antihypertensive drugs was poor and less than half only knew antihypertensive drug of choice when there is comorbidity. The study identified that nurses have knowledge deficit regarding prescription of antihypertensive drugs. There is a need for interventions to improve nurses’ knowledge so as to curb hypertension burden. </p>
Data from: the characteristics and treatment for severe postpartum hemorrhage in different midwifery hospitals in one district of Beijing in China: an institution-based, retrospective cohort study
<p><span><strong>Objective:</strong> </span><span>To identify the characteristics and treatment approaches for Severe Postpartum Hemorrhage (SPPH) patients in various midwifery institutions in one district in Beijing, especially those without identifiable antenatal PPH risk factors, to improve regional SPPH rescue capacity.</span></p> <p><strong><span>Design:</span></strong><span> Retrospective cohort study</span></p> <p><span><strong>Setting:</strong> </span><span>This study was conducted at n</span><span>ine tertiary-level hospitals and ten secondary-level hospitals</span><span> in Haidian district of Beijing from January 2019 to December 2022. </span></p> <p><strong><span>Participants:</span></strong> <span>The major inclusion criterion was SPPH cases with blood loss </span>≥<span>1500 ml or needing a packed blood product transfusion </span>≥<span>1000 ml within 24 h after birth</span><span>.</span><span> A total of 324 mothers suffering from SPPH were reported to the Regional Obstetric Quality Control Office from 19 midwifery hospitals. </span></p> <p><span><strong>Outcome measures:</strong> </span><span>The pregnancy characteristics collected included: age at delivery, gestational weeks at delivery, height, parity, delivery mode, antenatal PPH risks, etiology of PPH, bleeding amount, PPH complications, transfusion amount, and PPH management. SPPH characteristics were compared between two levels of midwifery hospitals and their association with antenatal PPH high-risk factors was determined.</span></p> <p><span><strong>Results:</strong> </span><span>SPPH was observed in 324 mothers out of 106697 mothers in the four years. There were 74.4% and 23.9% cases of SPPH without detectable antenatal PPH high-risk factors in secondary and tertiary midwifery hospitals, respectively. Primary uterine atony was the leading cause of SPPH in secondary midwifery hospitals, whereas placental-associated disorders were the leading causes in tertiary institutions, accounting for over 50% of cases. In all SPPH cases, the rates of red blood cell transfusion over 10U, </span><span>unscheduled returns to the operating room,</span><span> and adverse PPH complications were higher in patients without antenatal PPH risk factors. Secondary hospitals had significantly higher rates of trauma compared with tertiary institutions.</span></p> <p><span><strong>Conclusion:</strong> </span><span>Examining SPPH cases at various institutional levels offers a more comprehensive view of regional SPPH management and enhances targeted training in this area.</span></p>
Data from: Institutional complexity emerges from socioecological complexity in small-scale human societies
<p>Human lifestyles vary enormously over time and space and so understanding the origins of this diversity has always been a central focus of anthropology. A major source of this cultural variation is the variation in institutional complexity; the cultural packages of rules, norms, ontologies, and expectations passed down through societies across generations. In this paper we study the emergence of institutions in small-scale societies. There are two primary schools of thought. The first is that institutions emerge top-down as rules are imposed by elites on their societies in order to gain asymmetrical access to power, resources, and influence over others through coercion. The second is that institutions emerge bottom-up to facilitate interactions within populations as they seek collective solutions to adaptive problems. Here, we use Bayesian networks to infer the causal structure of institutional complexity in 172 small-scale societies across ethnohistoric western North America reflecting the wide diversity of indigenous lifestyles across this vast region immediately prior to European colonization. Our results suggest that institutional complexity emerges from underlying socioecological complexity because institutions are solutions to coordination problems in more complex environments where human-environment interactions require increased management.</p>
Content Validity and Reliability of the Italian Language Version of the US National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE®)
<p><strong>ABSTRACT </strong></p> <p><strong>Introduction: </strong>The US National Cancer Institute’s (NCI) Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE<sup>®</sup>) is a library of 78 symptom terms and 124 items enabling patient reporting of symptomatic adverse events in cancer trials. This multicenter study used mixed methods to develop an Italian language version of this widely accepted measure, and evaluate content validity and reliability in a diverse sample of Italian-speaking patients.</p> <p><strong>Methods: </strong>All PRO-CTCAE items were translated in accordance with international guidelines. Subsequently, the content validity of the PRO-CTCAE-Italian was examined and iteratively refined through cognitive debriefing interviews. Participants (n=96; 52% male; median age 64 years; 26% older adults; 18% lower educational attainment) completed a PRO-CTCAE survey and participated in a semi-structured interview to determine if the translation captured the concepts of the original English language PRO-CTCAE, and to evaluate comprehension, clarity and ease of judgement. Test-retest reliability of the finalized measure was evaluated in a second sample (n=135).</p> <p><strong>Results: </strong>Four rounds of cognitive debriefing interviews were conducted. The majority of PRO-CTCAE symptom terms, attributes and associated response choices were well-understood, and respondents found the items easy to judge. To improve comprehension and clarity, the symptom terms for nausea and pain were rephrased and retested in subsequent interview rounds. Test-retest reliability was excellent for 41/49 items (84%); the median intraclass correlation coefficient was 0.83 (range 0.64-0.94).</p> <p><strong>Discussion: </strong>Results support the semantic, conceptual and pragmatic equivalence of PRO-CTCAE-Italian to the original English version, and provide preliminary evidence of content validity and reliability.</p>
A database of Chemical Science institutions and industries in Kerala
<p>We developed this database to identify sampling units (entities related to Chemical Science education and career in Kerala) for the study 'Women’s Career Pathway in Chemical Sciences; a Multi-stage Investigation in Kerala' using two approaches:</p> <ol> <li> <p>Using search engines and visiting official databases of government departments and institutional websites.</p> </li> <li> <p>By asking faculties, researchers and students in the Chemical Science field to supplement the list generated by the first approach.</p> </li> </ol> <p>We hope that this database will be useful for researchers in the field and students who wish to pursue their careers in Chemical Sciences.</p> <p><em>All authors contributed equally to this work.</em></p> <p><em>This research is supported by the <a href="https://www.rsc.org/prizes-funding/funding/inclusion-diversity-fund/">Royal Society of Chemistry Inclusion and Diversity Fund</a>, 2020</em></p>
Business load profiles used in "Maximising the benefits of renewable energy infrastructure in displacement settings: Optimising the operation of a solar-hybrid mini-grid for institutional and business users in Mahama Refugee Camp, Rwanda"
<p>Version used in the submission of "Maximising the benefits of renewable energy infrastructure in displacement settings: Optimising the operation of a solar-hybrid mini-grid for institutional and business users in Mahama Refugee Camp, Rwanda" by Hamish Beath, Javier Baranda Alonso, Richard Mori, Ajay Gambhir, Jenny Nelson and Philip Sandwell.</p>
Survey of postdoctoral affairs infrastructure at U.S. R1 and R2 institutions
<p><strong>Introduction: </strong>The number of postdoctoral scholars working at academic institutions in the United States (U.S.) has grown consistently over the past 40 years, driving calls for better infrastructure to support their specific needs. In response, some institutions have built postdoctoral affairs offices that serve as clearinghouses for information, foster improved mentorship between postdoctoral scholars and their supervisors, and provide training opportunities that contribute to professional development. We assessed postdoctoral affairs infrastructure and the associated training opportunities currently offered at the largest academic institutions within the United States as of spring 2022.</p> <p><strong>Methods: </strong>To carry out this survey, we compiled a list of all R1 and R2 institutions in 2021 as determined by the Carnegie classification system. We first placed any institution classified as an R1 or an R2 into one of four categories, based on the information publicly available on each institution’s website:</p> <ol> <li>Institution has a clear “Office of Postdoctoral Affairs (OPA),” or similar infrastructure that is run by the institution. This may include joint offices for graduate and postdoctoral affairs when it is clear that the distinct needs of postdocs are recognized.</li> <li>Institution has a “Postdoctoral Association (PDA)” that is run by current postdocs on a voluntary basis. Funding may be provided by the institution.</li> <li>Institution has a postdoc landing webpage, such as a list of links or online resources, but has no clear OPA or PDA.</li> <li>Institution has no postdoc landing webpage.</li> </ol> <p>There were several instances where a combination of categories 1, 2, and 3 were evident. In some cases, schools/colleges within an institution (e.g., medical school) had resources for their postdocs, but these were not clearly available for all postdoctoral scholars at the institution and thus were not considered for these purposes.</p> <p>For each institution classified as 1, 2, 3 or a combination thereof, we categorically assessed (Yes/No) whether or not postdocs were offered any postdoc-specific, in-house training by their OPA or PDA by searching the postdoctoral affairs website. We defined “in-house training” as any event that was led or organized by, or otherwise originated in the host institution. We did not include events run by national organizations such as the National Postdoc Association (NPA), or National Center for Faculty Development and Diversity (NCFDD), as we considered these to be separate. While there are areas in which the needs of graduate students and postdocs overlap, for this study we identified postdoc-specific training as events that were clearly and intentionally aimed at postdocs (i.e., were not events combining postdocs with graduate students, faculty and staff, or the wider university community). For those institutions that offered in-house postdoc training, we then categorized each training opportunity or event into one of seven broad themes:</p> <ol> <li>Research skills (e.g., data management, grant writing)</li> <li>Teaching skills (e.g., pedagogy, curriculum development)</li> <li>Professional skills (e.g., leadership, mentorship, project management)</li> <li>Job market preparation (e.g., preparing job application materials, career talks from academia and industry)</li> <li>Institutional onboarding (e.g., orientations, library information sessions)</li> <li>Mental health and wellness (e.g., work-life balance)</li> <li>Diversity, equity and inclusion (e.g., understanding the value of diversity in the workplace)</li> </ol> <p>To standardize data and align with the R1 & R2 2021 Carnegie classification update, we limited our search of postdoc training opportunities to the 2021 calendar year. We did not include every training opportunity within the full calendar year; once we had found an event to fit each of the seven categories, we ended our search for that individual institution. In cases where the events calendar was blank, restricted to current or future events (2022), or located behind an institutional login page, we attempted to locate other publicly available sources of information. Nevertheless, we have likely captured all of the institutions that do actually have training opportunities. After completing the categorization of events, we also summed the total number of different postdoctoral training opportunity themes addressed by the institution.</p> <p><strong>Acknowledgements: </strong>This survey was supported by the Grand Challenges Initiative at Chapman University. </p>
GNSS and Digisonde sporadic-E maps produced by Air Force Institute of Technology
<p>Spatial maps of sporadic-E are produced by combining COSMIC-2 RO data with Digisonde measurements, using the <em>S<sub>4</sub></em>-based approach described by Carmona et al. (2022). Images from the TEC-based approach used in other studies are also included for reference. </p> <p> </p> <p>Carmona, R. A., Nava, O. A., Dao, E. V., & Emmons, D. J. (2022). A Comparison of Sporadic-E Occurrence Rates Using GPS Radio Occultation and Ionosonde Measurements. <em>Remote Sensing</em>, <em>14</em>(3), 581.</p> <p> </p>
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.