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Figure 2 in Building capacity to implement conservation breeding programs for frogs in Madagascar: Results from year one of Mitsinjo's amphibian husbandry research and captive breeding facility

Figure 2. Overview of the biosecure Mitsinjo amphibian captive breeding and husbandry research center as of April 2012.

opencc-by-4.0Oct 2012View details →
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Figure 5 in Building capacity to implement conservation breeding programs for frogs in Madagascar: Results from year one of Mitsinjo's amphibian husbandry research and captive breeding facility

Figure 5. Lectures and discussions during January-March 2011 helped train Mitsinjo technicians in captive frog husbandry techniques.

opencc-by-4.0Oct 2012View details →
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Figure 7. A in Building capacity to implement conservation breeding programs for frogs in Madagascar: Results from year one of Mitsinjo's amphibian husbandry research and captive breeding facility

Figure 7. A) Fruit fly cultures on shelves at the facility. B) Fruit flies are cultured in discarded plastic water bottles collected in Andasibe. Fabric is secured in place, over the top with rubber bands, and strips of plastic bag are placed inside (above the media) on which the flies can deposit eggs.

opencc-by-4.0Oct 2012View details →
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Using ELN Functionality of Kadi4Mat (KadiWeb) in a Materials Science Case Study of a User Facility

<p>This record contains the dataset belonging to the paper &quot;Using ELN Functionality of Kadi4Mat (KadiWeb) in a Materials Science Case Study of a User Facility&quot;</p>

opencc-by-4.0May 2024View details →
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Resilience of primary health care facilities - experiences from 16 European countries during the Covid-19 pandemic. A mixed-methods study conducted by EURIPA.

<p><strong><span>Resilience of primary health care facilities &ndash; experiences from 16 European countries during the Covid-19 pandemic. A mixed-methods study conducted by EURIPA.</span></strong></p> <p><strong><span>Abstract</span></strong></p> <p><strong><span>Background</span></strong></p> <p><span>The role of primary care during a pandemic varies across European countries. The COVID-19 pandemic has altered the working practices of family medicine doctors. It has also impacted the resilience of health systems.</span></p> <p><strong><span>Objectives</span></strong><span> </span></p> <p><span>This study aimed to examine European health system responses to the pandemic, focusing on rural and urban differences.</span></p> <p><strong><span>Material and methods</span></strong></p> <p><span>This cross-sectional, mixed-methods study used a semi-structured online questionnaire with 68 questions, including 21 free-text comments. Data were collected from May 2020 to January 2021. Key informants from sixteen EURIPA member countries distributed questionnaires to 406 primary care doctors. Data were analyzed using descriptive statistics and non-parametric tests (Chi-square, Kruskal-Wallis, Mann-Whitney U) with a significance threshold of 0.05. </span></p> <p><strong><span>Results</span></strong></p> <p><span>A statistically significant difference was found between rural (36.4%, 55/151), semirural (19.4%, 24/124), and urban populations (29.8%, 39/131) regarding medicine shortages (&chi;&sup2; = 9.91, df = 4, p = 0.042). <span>&nbsp;</span>The semirural one proved to have a statistically significant difference with the other settings(chi-square post-hoc test, p = 0.004 in post-hoc chi-square test). Significant differences were found between countries in resilience features including, Effectiveness of triage, Adapting to the rapidly changing requirements, Government help, Existence of a community resilience group, Improved interprofessional collaboration, Medicine Shortage and GPs involved in palliative care.</span></p> <p><strong><span>Conclusions</span></strong></p> <p><span>Medicine shortage was more prevalent in rural and urban areas compared to semirural ones. Differences were observed between countries in their responses to the pandemic, particularly in Adapting to the rapidly changing requirements, Effectiveness of triage, Government help, Existence of a Community resilience group. Qualitative analysis confirmed these disparities.</span></p> <p><span>The results emphasize the need for tailored approaches considering diverse contexts in shaping effective health system resilience.</span></p>

opencc-by-4.0Oct 2024View details →
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OPTIMIZATION OF HEAT CONSUMPTION IN CENTRAL HEATING SYSTEMS AT COMMERCIAL FACILITIES

<p>Rising energy prices and stricter environmental regulations are exacerbating the problem of inefficient heat consumption in the commercial sector. Central heating systems of office buildings, shopping malls, and industrial complexes are often characterized by excessive thermal energy consumption, which leads to significant economic losses and a negative impact on the natural environment. The purpose of the study is to study the directions and trends of optimization in the field under consideration (taking into account modern technological capabilities, and economic factors).</p> <p>There are disagreements in the professional community about the priority of measures to improve energy efficiency: some experts prefer improving the thermal insulation of buildings, others &mdash; the introduction of intelligent control systems, and others &mdash; the integration of renewable energy sources. The present study demonstrates that the greatest effect is achieved with a systematic approach combining various initiatives.</p> <p>The conclusion is formulated that in the current conditions and the future, a comprehensive application of modern thermal insulation materials, highly efficient heating equipment, intelligent management mechanisms, and alternative energy sources is required.</p> <p>The article is of interest to engineers-designers of heating systems, energy managers of commercial facilities, specialists in energy efficiency of buildings, and heads of companies interested in optimizing operating costs and improving the environmental friendliness of their real estate.</p>

opencc-by-4.0Oct 2024View details →
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Dataset: Facile functionalization of carbon electrodes for efficient electroenzymatic hydrogen production

<p>This dataset contains all of the data used to create the plots in both (i) the main article and (ii) the supporting information.</p> <p>The corresponding journal article can be found here:</p> <p><a href="https://doi.org/10.1021/jacsau.2c00551">https://doi.org/10.1021/jacsau.2c00551</a>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
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Water Sanitation & Hygiene Quick Check (WASH Q-Check): A rapid assessment tool for healthcare facilities in India

<p>This is a data sheet of the &quot;<strong>Water Sanitation and Hygiene Quick Check (WASH Q-Check): A rapid assessment tool for healthcare facilities in India</strong><strong> </strong>&quot;.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
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Illustrations for AI for multiple long-term conditions: Research Support Facility

<p>Illustrations created by&nbsp;<a href="http://www.scriberia.co.uk/">Scriberia</a>&nbsp;as part of <a href="https://www.turing.ac.uk/research/research-projects/ai-multiple-long-term-conditions-research-support-facility">AI for multiple long-term conditions: Research Support Facility.</a>&nbsp; The archived website link is available <a href="https://web.archive.org/web/20250212145350/https://www.turing.ac.uk/research/research-projects/ai-for-multiple-long-term-conditions-research-support-facility?__cf_chl_rt_tk=XKaDrLiiU8hmzZk2rKaWDBVpnO8exVqC4EHijqlWTIQ-1739372030-1.0.1.1-hmHFksRkdOQcBH9PsOgRVdNAatQdr3i4hFOqtyPcyZU">here</a>.</p> <p>The AIM RSF is funded by the NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647).</p> <p>When using any of the images, please credit them with</p> <p><em>"This image was created by&nbsp;<a href="http://www.scriberia.co.uk/">Scriberia</a>&nbsp;for AI for multiple long-term conditions: Research Support Facility and is used under a CC-BY licence."</em><br><br>We have created Alternative texts&nbsp;(Alt text) for all images stored in PDF and text format.</p>

opencc-by-4.0Mar 2023View details →
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Fig. 17 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 17. Open Access benefits, from Aston University Library Services (available from https://www.yearofopen.org/march-open-perspective-open-access/).

opencc-by-4.0Nov 2018View details →
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Fig. 15 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 15. Different routes for disseminating scientific publications (Cabut &amp; Larousserie 2013, redrawn by Laurence Bénichou from Infographie du Monde).

opencc-by-4.0Nov 2018View details →
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Fig. 14 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 14. Scholar production costs. Four steps are needed to produce scholar papers, of which three are publicly-funded. In the first scenario, the library pays back the final product by subscription to the publisher while in the second, the publishing costs are supported by the publisher (commercial or institutional) and then the access is free for the reader.

opencc-by-4.0Nov 2018View details →
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Fig. 13 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 13. The authorships highlighted in yellow are cited nowhere else in the article and yet they are listed in the references section (Schott &amp; Evans 2016).

opencc-by-4.0Nov 2018View details →
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Fig. 12 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 12. Here "Bleeker, 1857" is considered by the authors as a bibliographical reference and listed as such under the references section although it has not been cited elsewhere in the text (Tucker et al. 2016).

opencc-by-4.0Nov 2018View details →
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Fig. 6 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 6. Authorships formally presented as references, those in yellow are listed in the references section whereas those in orange are not considered as bibliographic references. A. Musavu Moussavou (2017). B. Mendoza-Garfias et al. (2017).

opencc-by-4.0Nov 2018View details →
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Fig. 2 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 2. Here, "Whalen (1989)" is cited in the taxonomic treatment but not listed in the references section (Knapp et al. 2017).

opencc-by-4.0Nov 2018View details →
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Fig. 11 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 11. Underlined in blue are the references linked to the bibliography (considered as such because they are cited in an unambiguous way elsewhere in the text) whereas those in black are not linked because they are not listed in the bibliography (Foley et al. 2017).

opencc-by-4.0Nov 2018View details →
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Fig. 1 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 1. The reference highlighted in yellow is listed under the references section, even though it has not been cited anywhere else in the article (Coritico et al. 2017).

opencc-by-4.0Nov 2018View details →
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Fig. 4 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 4. The references highlighted in orange are not listed in the References section whereas the reference in yellow, because it is recent, is listed (Ardenghi et al. 2016).

opencc-by-4.0Nov 2018View details →
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Fig. 3 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy

Fig. 3. Contrary to the example in Fig. 2, and despite it being published in the same journal, here "Cholnoky 1957" is cited only in the taxonomic treatment (and nowhere else in the text) and referenced under the bibliographic section (Jahn et al. 2017).

opencc-by-4.0Nov 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record