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8,537 results for “Openness”
Magnolia fraseri (Magnoliaceae) - fruit - section or open
Image of Magnolia fraseri (Magnoliaceae) - fruit - section or open
Maclura pomifera (Moraceae) - fruit - section or open
Image of Maclura pomifera (Moraceae) - fruit - section or open
Plantago rugelii (Plantaginaceae) - fruit - section or open
Image of Plantago rugelii (Plantaginaceae) - fruit - section or open
Sanicula canadensis (Apiaceae) - fruit - section or open
Image of Sanicula canadensis (Apiaceae) - fruit - section or open
Sisyrinchium albidum (Iridaceae) - fruit - section or open
Image of Sisyrinchium albidum (Iridaceae) - fruit - section or open
Tradescantia virginiana (Commelinaceae) - fruit - section or open
Image of Tradescantia virginiana (Commelinaceae) - fruit - section or open
Pedicularis canadensis (Scrophulariaceae) - fruit - section or open
Image of Pedicularis canadensis (Scrophulariaceae) - fruit - section or open
MJFF Data Community - Creative Commons Training: Copyright and Open Licensing
<p>This training, provided by Shanna Hollich, the Learning and Training Manager of Creative Commons (CC), was hosted by the Michael J. Fox Foundation's Data Community of Practice (DCOP). For more information on the DCOP, please contact: researchcommunity@michaeljfox.org.</p> <p>In the ever-evolving digital landscape, the management of research outputs, including data licensing and copyright, is of utmost importance. This 1.5-hour training provided a forum for participants to learn more about open licensing and copyright. It also aimed to equip participants with the knowledge and best practices they need to effectively navigate the complexities of CC licensing and copyright when using and generating research outputs such as scholarly publications, datasets, and white papers.<br><br>By the end of the workshop, participants developed an understanding of the basic principles of copyright, how it works, and where it applies. Participants are now able to describe the benefits of open licensing and the basics of how Creative Commons licenses work, have a deeper understanding of how research outputs interact with copyright and open licensing, and know where to find additional information and resources.</p> <p>To access a stream of this video with variable resolution, please <a href="https://share.vidyard.com/watch/5vMMsxsZK6q48yNHsDTkPe" target="_blank" rel="noopener">visit this link</a>.</p>
A bibliometric study on Parkinson's Disease based on the open access data of the Michael J. Fox Foundation
<h1>Description</h1> <p>This repository contains a comprehensive dataset focused on Parkinson's Disease. We provide data extracted via web scraping, along with metadata resulting from the extraction process using the NCBI API. The data pertains to the article titled 'A bibliometric study on Parkinson's Disease based on the open access data of the Michael J. Fox Foundation'.</p> <h2>Metadata Description</h2> <ul> <li> <h3>Analisys_MJFF_05_04_2024.xlsx</h3> </li> </ul> <table> <tbody> <tr> <th>Field</th> <th>Description</th> <th>Data Type</th> </tr> </tbody> <tbody> <tr> <td>AU</td> <td>List of authors in abbreviated format.</td> <td>Text</td> </tr> <tr> <td>AF</td> <td>List of authors with full names.</td> <td>Text</td> </tr> <tr> <td>TI</td> <td>Full title of the article.</td> <td>Text</td> </tr> <tr> <td>SO</td> <td>Name of the journal or publication.</td> <td>Text</td> </tr> <tr> <td>SO_CO</td> <td>Country of origin of the publication.</td> <td>Text</td> </tr> <tr> <td>LA</td> <td>Language of the article.</td> <td>Text</td> </tr> <tr> <td>DT</td> <td>Type of document, such as "Journal Article".</td> <td>Text</td> </tr> <tr> <td>DE</td> <td>Keywords or descriptors associated with the article.</td> <td>Text</td> </tr> <tr> <td>MESH</td> <td>MeSH terms that describe the content of the article.</td> <td>Text</td> </tr> <tr> <td>DI</td> <td>Digital Object Identifier (DOI).</td> <td>Text</td> </tr> <tr> <td>PG</td> <td>Number of pages or page range.</td> <td>Numeric</td> </tr> <tr> <td>GRANT_ID</td> <td>Identification of funding, when available.</td> <td>Text</td> </tr> <tr> <td>GRANT_ORG</td> <td>Organization that provided the funding.</td> <td>Text</td> </tr> <tr> <td>UT, PMID</td> <td>Unique identifiers of the article.</td> <td>Numeric</td> </tr> <tr> <td>DB</td> <td>Name of the database where the article is indexed.</td> <td>Text</td> </tr> <tr> <td>AU_UN</td> <td>Information about the academic unit or institution of the authors.</td> <td>Text</td> </tr> </tbody> </table> <ul> <li> <h3>References_MJFF_v2_Final_Corrected.csv</h3> </li> </ul> <table> <tbody> <tr> <th>Field</th> <th>Description</th> <th>Data Type</th> </tr> </tbody> <tbody> <tr> <td>Title</td> <td>Name of the article or publication.</td> <td>Text</td> </tr> <tr> <td>Authors</td> <td>List of authors who contributed to the article.</td> <td>Text</td> </tr> <tr> <td>Journal Name</td> <td>Name of the journal or periodical where the article was published.</td> <td>Text</td> </tr> <tr> <td>Publisher</td> <td>Name of the publisher who published the article.</td> <td>Text</td> </tr> <tr> <td>Volume</td> <td>Volume number of the journal in which the article appears.</td> <td>Numeric or Text</td> </tr> <tr> <td>Edition Number</td> <td>Number of the edition of the journal in which the article is found.</td> <td>Numeric or Text</td> </tr> <tr> <td>Starting Page</td> <td>Number of the first page of the article in the publication.</td> <td>Numeric</td> </tr> <tr> <td>Ending Page</td> <td>Number of the last page of the article.</td> <td>Numeric</td> </tr> <tr> <td>Publication Date</td> <td>Date on which the article was published.</td> <td>Date</td> </tr> <tr> <td>Open Access Status</td> <td>Indicates whether the article is available in open access.</td> <td>Text</td> </tr> <tr> <td>License</td> <td>Type of license under which the article was published.</td> <td>Text</td> </tr> <tr> <td>DOI (Digital Object Identifier)</td> <td>Unique identifier for the article that provides a permanent link to the online access.</td> <td>Text</td> </tr> <tr> <td>OA Location URL</td> <td>Direct URL to the article, if available in open access.</td> <td>Text</td> </tr> <tr> <td>Citation Count</td> <td>Number of times the article has been cited by other publications.</td> <td>Numeric</td> </tr> </tbody> </table> <p> </p>
Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
<p><strong>Context:</strong> Free and Open Source Software (FOSS) communities' ability to stay viable and productive over time is pivotal for society as they maintain the building blocks that digital infrastructure, products, and services depend on. Sustainability may, however, be characterized from multiple aspects, and less is known how these aspects interplay and impact community outputs, and software quality specifically.</p> <p><strong>Objective: </strong>This study, therefore, aims to empirically explore how the different aspects of FOSS sustainability impact software quality.</p> <p><strong>Method: </strong>16 sustainability metrics across four categories were sampled and applied to a set of 217 OSS projects sourced from the Apache Software Foundation Incubator program. The impact of a decline in the sustainability metrics was analyzed against eight software quality metrics using Bayesian data analysis, which incorporates probability distributions to represent the regression coefficients and intercepts.</p> <p><strong>Results: </strong>Findings suggest that selected sustainability metrics do not significantly affect defect density or code coverage. However, a positive impact of community age was observed on specific code quality metrics, such as risk complexity, number of very large files, and code duplication percentage. Interestingly, findings show that even when communities are experiencing sustainability, certain code quality metrics are negatively impacted.</p> <p><strong>Conclusion:</strong> Findings imply that code quality practices are not consistently linked to sustainability, and defect management and prevention may be prioritized over the former. Results suggest that growth, resulting in a more complex and large codebase, combined with a probable lack of understanding of code quality standards, may explain the degradation in certain aspects of code quality.</p>
Open-source quality control routine and multi-year power generation data of 175 PV systems
<p><strong>Description</strong></p> <p>The repository contains an extensive dataset of PV power measurements and a python package (qcpv) for quality controlling PV power measurements. The dataset features four years (2014-2017) of power measurements of 175 rooftop mounted residential PV systems located in Utrecht, the Netherlands. The power measurements have a 1-min resolution.</p> <p><strong>PV power measurements</strong></p> <p>Three different versions of the power measurements are included in three data-subsets in the repository. Unfiltered power measurements are enclosed in <em>unfiltered_pv_power_measurements.csv</em>. Filtered power measurements are included as <em>filtered_pv_power_measurements_sc.csv </em>and<em> filtered_pv_power_measurements_ac.csv</em>. The former dataset contains the quality controlled power measurements after running single system filters only, the latter dataset considers the output after running both single and across system filters. The metadata of the PV systems is added in<em> metadata.csv</em>. This file holds for each PV system a unique ID, start and end time of registered power measurements, estimated DC and AC capacity, tilt and azimuth angle, annual yield and mapped grids of the system location (north, south, west and east boundary).</p> <p><strong>Quality control routine</strong></p> <p>An open-source quality control routine that can be applied to filter erroneous PV power measurements is added to the repository in the form of the Python package qcpv (<em>qcpv.py</em>). Sample code to call and run the functions in the qcpv package is available as <em>example.py.</em></p> <p><strong>Objective</strong></p> <p>By publishing the dataset we provide access to high quality PV power measurements that can be used for research experiments on several topics related to PV power and the integration of PV in the electricity grid.</p> <p>By publishing the qcpv package we strive to set a next step into developing a standardized routine for quality control of PV power measurements. We hope to stimulate others to adopt and improve the routine of quality control and work towards a widely adopted standardized routine. </p> <p><strong>Data usage</strong></p> <p>If you use the data and/or python package in a published work please cite: <em>Visser, L., Elsinga, B., AlSkaif, T., van Sark, W., 2022. Open-source quality control routine and multi-year power generation data of 175 PV systems. Journal of Renewable and Sustainable Energy.</em></p> <p><strong>Units</strong></p> <p>Timestamps are in UTC (YYYY-MM-DD HH:MM:SS+00:00).</p> <p>Power measurements are in Watt.</p> <p>Installed capacities (DC and AC) are in Watt-peak.</p> <p><em><strong>Additional information</strong></em></p> <p>A detailed discussion of the data and qcpv package is presented in: <em>Visser, L., Elsinga, B., AlSkaif, T., van Sark, W., 2022. Open-source quality control routine and multi-year power generation data of 175 PV systems. Journal of Renewable and Sustainable Energy. Corrections are discussed in: Visser, L., Elsinga, B., AlSkaif, T., van Sark, W., 2024. </em><em>Erratum: Open-source quality control routine and multiyear power generation data of 175 PV systems. Journal of Renewable and Sustainable Energy.</em></p> <p><strong>Acknowledgements </strong></p> <p>This work is part of the Energy Intranets (NEAT: ESI-BiDa 647.003.002) project, which is funded by the Dutch Research Council NWO in the framework of the Energy Systems Integration & Big Data programme. The authors would especially like to thank the PV owners who volunteered to take part in the measurement campaign. </p>
Рис. 2. ВнеШний вид глохидиев (створки открыты, вид иЗнутри): А – Beringiana chereshnevi (оЗ. Элергытгын, Чукотка); B – Berianiana compressa; C – Kunashiria japonica; D – Kunashiria haconensis. МасШтаб 40 мкм. Fig. 2. Glohidia with open valves (inside view): А – Beringiana chereshnevi (Elergytgyn Lake, Chukotka); B – Berianiana compressa; C – Kunashiria japonica; D – Kunashiria haconensis. Scale bar 40 µm. in Beringiana and Kunashiria (Bivalvia: Unionidae: Anodontinae)
Рис. 2. ВнеШний вид глохидиев (створки открыты, вид иЗнутри): А – Beringiana chereshnevi (оЗ. Элергытгын, Чукотка); B – Berianiana compressa; C – Kunashiria japonica; D – Kunashiria haconensis. МасШтаб 40 мкм. Fig. 2. Glohidia with open valves (inside view): А – Beringiana chereshnevi (Elergytgyn Lake, Chukotka); B – Berianiana compressa; C – Kunashiria japonica; D – Kunashiria haconensis. Scale bar 40 µm.
Literature Search from OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature
<p>OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature (<a title="OPUS Deliverable 1.2: Initial State of the Art on Open Science Literature" href="../doi/10.5281/zenodo.8410049" target="_blank" rel="noopener">https://zenodo.org/doi/10.5281/zenodo.8410049</a>) conducted an analysis of initiatives and literature to reform research(er) assessment and incentivise and reward Open Science.<br>Within WP1, a State-of-the-Art on Open Science Literature was conducted. This state-of-the-art on existing literature and recommendations to reform research(er) assessment and incentivise and reward Open Science was designed to support the development of interventions in WP2, of indicators and metrics in WP3 and of pilot action plans in WP4.<br>Within this overall review, specific focus was placed on a review of:</p> <ul> <li>Research(er) assessment and Open Science and incentives and rewards and Open Science</li> <li>Precarity of research careers and Open Science</li> <li>Gender equality and Open Science</li> <li>Industry practices and Open Science</li> <li>Trust and Open Science</li> </ul> <p>This literature review data is available as:</p> <ul> <li>an online library on Zotero - <a title="OPUS Zotero Library" href="https://www.zotero.org/groups/4932671/opus_project_library/collections/H4KBRTUF" target="_blank" rel="noopener">https://www.zotero.org/groups/4932671/opus_project_library/collections/H4KBRTUF</a></li> <li>a single Microsoft Excel file (xlsx) with multiple tabs and</li> <li>CSV (comma-separated values) files.</li> </ul>
DLR/ESA open PolinSAR training course Dataset
<h1>PySARPRO Dataset for DLR/ESA Open PolinSAR Training Course</h1> <h2>Description:</h2> <p>This dataset is part of the DLR/ESA Open PolinSAR training course and contains various types of Synthetic Aperture Radar (SAR) data processed using the PySARPRO Python library. The dataset includes SAR data in different modalities, such as defocused SAR (SAT), Interferometric SAR (InSAR), Polarimetric SAR (PolSAR), Polarimetric Interferometric SAR (PolInSAR), and Tomographic SAR (TomoSAR).</p> <p> </p> <p>GitHub: [PySARPro](https://github.com/Pol-InSAR/pysarpro.git)</p> <h2>Citation:</h2> <p>If you use this dataset in your research, please cite the following:</p> <p>[](https://doi.org/10.5281/zenodo.10797182)</p> <p> </p> <h2>Contents:</h2> <ol> <li><strong>SAT Data Defocused</strong>: </li> <li><strong>InSAR Data</strong>:</li> <li><strong>PolSAR Data</strong>: </li> <li><strong>PolInSAR Data</strong>: </li> <li><strong>TomoSAR Data</strong>: </li> <li><strong>DInSAR Data</strong>: </li> </ol> <h2>Data Format:</h2> <p>The data is provided in standard formats compatible with the PySARPRO library and can be readily imported and downloaded for analysis.</p> <h2>Acknowledgments:</h2> <p>We would like to acknowledge the support of DLR (German Aerospace Center) and ESA (European Space Agency) for providing the data and resources necessary for this training course.</p> <h2>Contact:</h2> <p>For inquiries about the dataset, please contact Islam Mansour at islam.mansour@dlr.de .</p>
washopenresearch: Dataset about open research data information in Water, Sanitation, and Hygiene
The goal of washopenresearch is to provide an overview of open research data related to Water Sanitation and Hygiene (WASH). The package provides access to two datasets `washdev` and `uncnewsletter`. Each dataset collects information on scientific articles about (1) article metadata (e.g. title, first author, correspondence author), (2) supplementary material information, (3) data availability statement, and (4) semantic information (e.g. keywords).
Supporting material for: MoonIndex, an Open-Source Tool to Generate Spectral Indexes for the Moon from M3 Data
<p>Supplementary material for the paper called: MoonIndex, an Open-Source Tool to Generate Spectral Indexes for the Moon from M3 Data. The data without "indexes" in the name are map-projected M3 cubes, they can be used in the python library <i><strong>MoonIndex </strong></i>to obtain the spectral indexes stored in the files with "indexes" in the name.</p><p>This research was done on the framework of the EXPLORE project, that has received funding from the European Union's 2020 research and innovation program under grant agreement No 101004214. </p>
Рис. 3. Фотографии Laternula elliptica, сделанные около cтанции «Прогресс», ВосточнаЯ Антарктида. L. elliptica на морском дне с медкими камнЯми или гравием, глубина 27 м (А); несколько сифональных отверстий L. elliptica над поверхностью мЯгких осадков вокруг голотурии Staurocucumis turqueti, глубина 27 м (В); раковина L. elliptica (длина около 110 мм) на снегу около майны сраЗу после иЗвлечениЯ иЗ воды (С); пустые раковины L. elliptica на морском дне, глубина 56 м (D); раковина L. elliptica (вид с дорсального краЯ) на мЯгких осадках с камнЯми, покрытыми иЗвестковыми водорослЯми, глубина 30 м (Е); пара сифональных отверстий L. elliptica на поверхности мЯгких осадков, глубина 27 м (F). Фотографии О. Савинкина (A, B, D–F) и В. Потина (С). Fig. 3. Photographs of Laternula elliptica taken near «Progress» Research Station (East Antarctica). Softshelled clam L. elliptica on sea bottom with small stowns or gravel, depth 27 m (A); several open siphons of L. elliptica above soft bottom sediments around holothurian Staurocucumis turqueti, depth 27 m (B); a shell of L. elliptica (length about 110 mm) on snow near a dive hole just after dragging out of water (C); empty shells of L. elliptica on seafloor, depth 56 m (D); a shell of Laternula elliptica (dorsal view) on soft deposits among stones, covering by Lithothamnion, depth 30 m (E); pair of siphonal opening of L. elliptica on surface of soft sediments, depth 27 m (F). Photographs are taken by O. Savinkin (A, B, D–F) and V. Potin (C). in Species of warm-water origin Laternula elliptica (King, 1832) (Mollusca: Bivalvia: Laternulidae), a widespread mollusk in recent Antarctica
Рис. 3. Фотографии Laternula elliptica, сделанные около cтанции «Прогресс», ВосточнаЯ Антарктида. L. elliptica на морском дне с медкими камнЯми или гравием, глубина 27 м (А); несколько сифональных отверстий L. elliptica над поверхностью мЯгких осадков вокруг голотурии Staurocucumis turqueti, глубина 27 м (В); раковина L. elliptica (длина около 110 мм) на снегу около майны сраЗу после иЗвлечениЯ иЗ воды (С); пустые раковины L. elliptica на морском дне, глубина 56 м (D); раковина L. elliptica (вид с дорсального краЯ) на мЯгких осадках с камнЯми, покрытыми иЗвестковыми водорослЯми, глубина 30 м (Е); пара сифональных отверстий L. elliptica на поверхности мЯгких осадков, глубина 27 м (F). Фотографии О. Савинкина (A, B, D–F) и В. Потина (С). Fig. 3. Photographs of Laternula elliptica taken near «Progress» Research Station (East Antarctica). Softshelled clam L. elliptica on sea bottom with small stowns or gravel, depth 27 m (A); several open siphons of L. elliptica above soft bottom sediments around holothurian Staurocucumis turqueti, depth 27 m (B); a shell of L. elliptica (length about 110 mm) on snow near a dive hole just after dragging out of water (C); empty shells of L. elliptica on seafloor, depth 56 m (D); a shell of Laternula elliptica (dorsal view) on soft deposits among stones, covering by Lithothamnion, depth 30 m (E); pair of siphonal opening of L. elliptica on surface of soft sediments, depth 27 m (F). Photographs are taken by O. Savinkin (A, B, D–F) and V. Potin (C).
Рис. 2. Laternula elliptica: А – раковина вЗрослого моллюска иЗ морЯ Дейвиса, L=87 мм, вид сбоку; Б – вид с дорсальной стороны (по: Егорова [1982]); В – расположение пустых раковин Laternula elliptica в осыпаюЩемсЯ песчаном грунте на склоне подводного холма (по рисунку иЗ полевого дневника Б.И. Сиренко, ЗИН РАН); Г – наружные отверстиЯ вводного и выводного сифонов Laternula elliptica (King, 1832) на поверхности грунта. Fig. 2. Laternula elliptica: А – shell of adult mollusc from the Davis Sea, L=87 mm, lateral view; Б – dorsal view (after: Егорова [1982]); В – empty shells of Laternula elliptica in friable sand on a slope of underwater hill (after sketch in the field journal of Dr. B.I. Sirenko, Zool. Inst. RAS); Г – external openings of inhalant and exhalant siphons of Laternula elliptica on surface of bottom deposits. in Species of warm-water origin Laternula elliptica (King, 1832) (Mollusca: Bivalvia: Laternulidae), a widespread mollusk in recent Antarctica
Рис. 2. Laternula elliptica: А – раковина вЗрослого моллюска иЗ морЯ Дейвиса, L=87 мм, вид сбоку; Б – вид с дорсальной стороны (по: Егорова [1982]); В – расположение пустых раковин Laternula elliptica в осыпаюЩемсЯ песчаном грунте на склоне подводного холма (по рисунку иЗ полевого дневника Б.И. Сиренко, ЗИН РАН); Г – наружные отверстиЯ вводного и выводного сифонов Laternula elliptica (King, 1832) на поверхности грунта. Fig. 2. Laternula elliptica: А – shell of adult mollusc from the Davis Sea, L=87 mm, lateral view; Б – dorsal view (after: Егорова [1982]); В – empty shells of Laternula elliptica in friable sand on a slope of underwater hill (after sketch in the field journal of Dr. B.I. Sirenko, Zool. Inst. RAS); Г – external openings of inhalant and exhalant siphons of Laternula elliptica on surface of bottom deposits.
Open Access in Ukraine: characteristics and evolution from 2012 to 2021: supplementary data
<p>This dataset includes metadata for publications authored by researchers affiliated with Ukrainian research institutions and universities, gathered from Scopus, WoS, and Dimensions as of November 2022. Information on the papers' open access status, OA subtypes, publisher details and repository names was obtained from Unpaywall.</p>
Identifying Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: a Derivation Study. Open Code and Dataset
<p>The purpose of this project is to detect hypogilance using the EVEILS database.</p> <p>Database is ICU data from Hôtel-Dieu De Lévis , Québec, Canada. Please cite us if you use either the data or code. </p> <p>This code was written during Raphaëlle Giguère Msc in Computer Science. The goal of her project is to detect hypovigilance using machine learning in the ICU. In this repository, you have the data set before preprocessing:</p> <ul> <li>df_hypovigilance : Contains the hours, date and value of the vigilance level, using either the RASS or Ramsay and already converted using the thresholds shown in the paper.</li> <li>raw_df : Contains the raw values from the gateway for each participant. All of the identifying values have been removed.</li> </ul> <p>At the end of the preprocessing_anonymous script, you should generate a new dataset called "df_final". This dataset is used for the training_model script.</p> <p>The cross validation employs groups of random size meaning the results might differ from time to time but should stay consistent.</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.