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8,537 results for “Openness”
Output raster datasets from Apalachicola Regional Restoration Initiative Open Pine Ecological Condition Model (2023)
<p>Output raster datasets from the 2023 Ecological Condition Model (ECM) for open pine ecosystems in the Apalachicola Regional Restoration Initiative (ARRI) area of the eastern Florida Panhandle. Our goal was to develop an ECM that would span all lands in the Apalachicola Regional Restoration Initiative (ARRI) area. As such, we used only datasets that were available throughout this region and did not rely on any corporate data layers from specific landowners. Furthermore, we sought to assess ecological condition at a high enough resolution to inform management decisions down to the level of individual forest stands. By taking this approach, we hoped to create ecological condition scores that could be used to inform restoration activities across all lands, and which could be updated through time to measure progress and to gauge the effectiveness of management activities.</p> <p>Output raster datasets include ecological condition for canopy, midstory and groundcover/shrub layers as well as overall ecological condition. Each raster contains ranked scores of estimated ecological condition: 1- Excellent, 2- Good, 3-Fair, and 4-Poor. </p> <p>NOTE- These outputs were created using tools stored in this repository: <a href="https://doi.org/10.5281/zenodo.8236853">https://doi.org/10.5281/zenodo.8236853</a> as well as several raster input layers stored in this repository: https://doi.org/10.5281/zenodo.8234220. </p> <p> </p> <p> </p> <p> </p>
Input raster datasets for Apalachicola Regional Restoration Initiative Open Pine Ecological Condition Model (2023)
<p>Input raster datasets used to create an Ecological Condition Model (ECM) for open pine ecosystems in the Apalachicola Regional Restoration Initiative area of the eastern Florida Panhandle. Our goal was to develop an ECM that would span all lands in the Apalachicola Regional Restoration Initiative (ARRI) area. As such, we used only datasets that were available throughout this region and did not rely on any corporate data layers from specific landowners. Furthermore, we sought to assess ecological condition at a high enough resolution to inform management decisions down to the level of individual forest stands. By taking this approach, we hoped to create ecological condition scores that could be used to inform restoration activities across all lands, and which could be updated through time to measure progress and to gauge the effectiveness of management activities.</p> <p> </p> <p> </p>
Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery: Major themes, subthemes and selected interview quotes
<p>Data annex containing major themes, subthemes and selected interview quotes of the article Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery.</p>
Dataset: Preliminary analysis of open data pertaining to the services available through the Health Insurance Institute of Slovenia and provided by family medicine
<p>BACKGROUND: The Health Insurance Institute of Slovenia (ZZZS) began publishing service-related data in May 2023, following a directive from the Ministry of Health (MoH). The ZZZS website provides easily accessible information about the services provided by individual doctors, including their names. The user is provided relevant information about the doctor's employer, including whether it is a public or private institution. The data provided is useful for studying the public system's operations and identifying any errors or anomalies. </p> <p>METHODS: The data for services provided in May 2023 was downloaded and analysed. The published data were cross-referenced using the provider's RIZDDZ number with the daily updated data on ambulatory workload from June 9, 2023, published by ZZZS. The data mentioned earlier were found to be inaccurate and were improved using alerts from the zdravniki.sledilnik.org portal. Therefore, they currently provide an accurate representation of the current situation. The total number of services provided by each provider in a given month was determined by adding up the individual services and then assigning them to the corresponding provider. </p> <p>RESULTS: A pivot table was created to identify 307 unique operators, with 15 operators not appearing in both lists. There are 66 public providers, which make up about 72% of the contractual programme in the public system. There are 241 private providers, accounting for about 28% of the contractual programme. In May 2023, public providers accounted for 69% (n=646,236) of services in the family medicine system, while private providers contributed 31% (n=291,660). The total number of services provided by public and private providers was 937,896. Three linear correlations were analysed. The initial analysis of the entire sample yielded a high R-squared value of .998 (adjusted R-squared value of .996) and a significant level below 0.001. The second analysis of the data from private providers showed a high R Squared value of .904 (Adjusted R Squared = .886), indicating a strong correlation between the variables. Furthermore, the significance level was < 0.001, providing additional support for the statistical significance of the results. The third analysis used data from public providers and showed a strong level of explanatory power, with a R Squared value of 1.000 (Adjusted R Squared = 1.000). Furthermore, the statistical significance of the findings was established with a p-value < 0.001. </p> <p>CONCLUSION: Our analysis shows a strong linear correlation between contract size of the program signed and number services rendered by family medicine providers. A stronger linear correlation is observed among providers in the public system compared to those in the private system. Our study found that private providers generally offer more services than public providers. However, it is important to acknowledge that the evaluation framework for assessing services may have inherent flaws when examining the data. Prescribing a prescription and resuscitating a patient are both assigned a rating of one service. It is crucial to closely monitor trends and identify comparable databases for pairing at the secondary and tertiary levels.</p>
WaivOps RTRO-DRM: Open Audio Resources for Machine Learning in Music
<p><strong>WaivOps RTRO-DRM Dataset</strong></p> <p>RTRO-DRM is an open audio dataset composed of a series of drum recordings in the style of 1980s electronic music. The dataset comprises 2138 raw, unedited audio clips recorded in uncompressed stereo WAV format. These recordings were curated using an internal drum sample dataset and MIDI files sourced from a code-based music generation system, along with a MIDI transformer model trained on more than 30,000 MIDI files. The files primarily consist of recordings that may not meet conventional audio quality standards but can still be valuable for a range of applications and research projects.</p> <p><strong>Dataset</strong></p> <p>The primary objective of this dataset is to provide accessible content for machine learning applications in music and audio research. Some potential use cases for this dataset include tempo detection and classification, drum rhythm analysis, audio-to-MIDI conversion, source separation, automated mixing, music information retrieval, AI music generation, sound design, and signal processing.</p> <p>Specifications</p> <ul> <li>2138 audio loops (4.3 hours)</li> <li>24-bit WAV format</li> <li>BPM labeled</li> <li>Tempo range: 100-145bpm</li> <li>Variational drum patterns</li> <li>Electronic drum machine sound (circa 1980s)</li> </ul> <p><strong>License</strong></p> <p>This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks. All recordings have been compiled by verified sources for copyright clearance.</p> <p>The RTRO-DRM dataset is licensed under Creative Commons Attribution 4.0 International <a href="https://creativecommons.org/licenses/by/4.0/">(CC BY 4.0)</a>.</p> <p><strong>Additional Info</strong></p> <p>For audio examples or more information about this dataset, please refer to the <a href="https://github.com/patchbanks/WaivOps-RTRO-DRM">GitHub repository</a>.</p>
OIE4PA: Open Information Extraction for the Public Administration
<p>Tenders are powerful means of investment of public funds and represent a strategic development resource.<br> Despite the efforts made so far by governments at national and international levels to digitalise documents related to the Public Administration sector, most of the information is still available in an unstructured format only. <br> With the aim of bridging this gap, we present OIE4PA, our latest study on extracting and classifying relations from tenders of the Public Administration.<br> Our work focuses on the Italian language, where the availability of linguistic resources to perform Natural Language Processing tasks is considerably limited. <br> For evaluation purposes, we built a dataset composed of 2,000 triples extracted from Italian tenders, which have been manually annotated by two human experts.</p> <p>The dataset, compressed in a single zip file, is composed of:</p> <ul> <li>The corpus of 6,262 texts extracted from Italian public tenders (corpus_tenders)</li> <li>The training set of 1,600 annotated triples (training_set)</li> <li>The test set of 400 annotated triples (test_set)</li> <li>The set U of 14,096 triples used for the self-training (u_triples_dd)</li> <li>a compressed archive that contains both the extracted triples and the index for each supervised approach (extraction) <br> </li> </ul>
5 Tipps im Umgang mit Open Access Publikationskosten
<p>Dieses, im Rahmen des Projekts "Austrian Transition to Open Access 2" entstandene Kuzvideo (Dauer 1:47) wendet sich an Personen, die an Universitäten und anderen Forschungsstätten mit dem Erfassen und Buchen von Rechnungen für wissenschaftliche Publikationen befasst sind (besonders Buchhalter*innen, Fachbereichsassistent*innen, Sekretär*innen). Das Video möchte diesen Personenkreis für die Bedeutung des Open-Access-Kostenmonitorings und den richtigen Umgang mit Open-Access-Rechnungen sensibilisieren und gibt Tipps, wie derartige Rechnungen (z.B. anhand einschlägiger Verlage als Kreditoren) erkannt und gebucht werden können.</p>
5 Tips to handle Open Access Publication Costs
<p>This video (duration 1:51), produced as part of the project "Austrian Transition to Open Access 2" addresses employees at research institutions involved in processing invoices for scientific publications (especially accountants, departmental assistants, secretaries). It aims to sensitize this group to the importance of OA cost monitoring and the correct handling of OA invoices. The video also provides tips on how to detect (e.g. by means of pertinent publishing houses as creditors) and post OA invoices adequately.</p>
WaivOps WRLD-LP: Open Audio Resources for Machine Learning in Music
<p><strong>WRLD-LP Dataset</strong></p> <p>WRLD-LP is an open audio dataset comprised of a series of symbolic drum recordings in the genres of world percussion music. The dataset includes 3,162 audio loops recorded in uncompressed stereo WAV format. The compositions were generated with an internal sample dataset played with note-dense MIDI drum files from a code-based music generation system, along with a MIDI transformer model trained on more than 30,000 MIDI files.</p> <p><strong>Dataset</strong></p> <p>The primary objective of this dataset is to provide accessible content for machine learning applications in music and audio research. Some potential use cases for this dataset include tempo detection and classification, drum rhythm analysis, audio-to-MIDI conversion, source separation, automated mixing, music information retrieval, AI music generation, sound design, and signal processing.</p> <p><strong>Specifications</strong></p> <ul> <li>3,162 audio loops (7.3 hours)</li> <li>24-bit WAV format</li> <li>BPM labeled</li> <li>Tempo range: 100-130bpm</li> <li>Expressive percussion drumming</li> <li>Mixed rhythms of world music</li> </ul> <p><strong>License</strong></p> <p>This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks. All recordings have been compiled by verified sources for copyright clearance.</p> <p>The WRLD-LP dataset is licensed under Creative Commons Attribution 4.0 International <a href="https://creativecommons.org/licenses/by/4.0/">(CC BY 4.0)</a>.</p> <p><strong>Additional Info</strong></p> <p>For audio examples or more information about this dataset, please refer to the <a href="https://github.com/patchbanks/WaivOps-WRLD-LP">GitHub repository</a>.</p>
Dataset for the paper "Exposure of medical students to sexism and sexual harassment and their association with mental health: a cross-sectional study at a Swiss medical school" published in BMJ Open (2023)
<p><strong>Full reference of the paper: </strong></p> <p>Barbier JM, Carrard V, Schwarz J, et al. Exposure of medical students to sexism and sexual harassment and their association with mental health: a cross-sectional study at a Swiss medical school. BMJ Open 2023;13:e069001. doi:10.1136/bmjopen-2022-069001</p>
Metabolomic Profile of Cerebral Tissue After Blood-Brain Barrier Opening using Microbubble-Assisted Ultrasound: A Focus on Contralateral Side.
<p>Microbubble (MB)-assisted ultrasound (US) is an innovative modality for the non-invasive, targeted and efficient delivery of the therapeutic molecules into the brain. Previously, we reported the first metabolomic signature of blood-brain barrier opening (BBBO) induced by MB-assisted US. In the present study, the neurometabolic consequences of acoustically mediated BBBO on cerebral tissue using multimodal metabolomics approaches. Sinusoid US waves (1 MHz, peak negative pressure 0.6 MPa, burst length 10 ms, total treatment time 30 s, MB bolus dose 0.7 10<sup>5</sup> MBs/g) were applied on the right striatum (ipsilateral side). Brain was collected and both striata were then dissected 3 h, 2 days and 1 week after BBBO. After tissue preparation, the samples were analyzed using nuclear magnetic resonance spectrometry (NMRS) and high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS). Our findings showed a slight disruption of metabolic pathways in contralateral striata of animals. Analyses of metabolic pathways indicated change of amino acid metabolisms. In addition, tryptophan derivate dosages revealed the perturbation of a central metabolite of the kynurenin pathway (<em>i.e.</em>, 3-hydroxykynurenin). In conclusion, the acoustically mediated BBBO of the ipsilateral cerebral hemisphere induced significant change in metabolism of contralateral one.</p>
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18
An investigation into grazing impacts by New Forest herbivores on inclosure and open woodland patch areas
<p>Data set + R-code for: An investigation into grazing impacts by New Forest herbivores on inclosure and open woodland patch areas</p>
Open Access Week 2023 Norway Image
<p>Image used for publicity for OA Week Norway. The image was modified from the resources of International Open Access week: https://www.openaccessweek.org/attributions</p><p> </p><p>Attribution of images from the left,</p><p>Row 1: <a href="https://commons.wikimedia.org/wiki/File:Eleanor_Roosevelt_UDHR_%2827758131387%29.jpg">FDR Presidential Library & Museum</a>, <a href="http://legacy.openaccessweek.org/photo/img-4199?context=latest">Kiuye Shemakame</a>, Photo by Hanne Pearce of artworks by Justin Pritchard and Devaki Joshi</p><p>Row 2: <a href="https://openflexure.discourse.group/u/johemianknapsody/summary">Joe Knapper</a>, <a href="http://legacy.openaccessweek.org/photo/intech-show-76?context=user">Katarina Lovrecic</a>, <a href="http://legacy.openaccessweek.org/photo/essay-competition?context=latest">Shevarim Parva</a></p><p>Row 3: <a href="https://commons.wikimedia.org/wiki/File:37_Asamblea_General_de_la_UNESCO_%2810730195765%29.jpg">Cancillería Ecuador</a>, <a href="http://legacy.openaccessweek.org/photo/oaw-walk-and-dance-9/next?context=latest">Kemu</a>, <a href="https://royalsocietypublishing.org/doi/10.1098/rsos.221236">Samuel McDermott, Richard Bowman, Kerrianne Harrington and William Wadswort</a></p><p>Locks and Design by Kim Henze.</p>
The value framework of open research data_Appendix-v3
<p>The supplementary data and the final version of the questionnaire "<strong>Survey on the 'Value of Open Research Data'".</strong></p>
A Systematic Review of Open Data in Agriculture
<p>This dataset contains a collection of papers retrieved by using a PRISMA systematic review of Open Data and Public Domain data in Agriculture. This collection of papers uses, creates, or discusses about Open Data and Public Domain.</p><p>The dataset uses the Zotero RDF format and is classified according the source and the topic of the paper</p>
The affiliation network of the Radical Open Access Collective visualised
<p>This figure depicts the affiliation network of the Radical Open Access Collective (https://radicaloa.postdigitalcultures.org/), which is an international community of scholar-led publishing initiatives. It was formed in 2015 and the data collection via web-based research took place in the period from April 2021 until April 2022. The visualisation process was developed interatively throughout a qualitatively driven mixed methods research on scholar-led publishing initiatives. As part of 23 qualitative expert interviews, network elicitation was embedded as a method of mixed methods social network analysis. Several iterations of the network map were created with the software MindManager 2020. An edited version of the network graph was published in the Journal of Scholarly Publishing (Schimmel, 2023).</p>
Data from the Swiss Open Data Repository Landscape survey
<p>This file collection is part of the ORD Landscape and Cost Analysis Project (DOI: 10.5281/zenodo.2643460), a study jointly commissioned by the SNSF and swissuniversities in 2018.</p> <p>Please cite this data collection as:<br> von der Heyde, M. (2019). Data from the Swiss Open Data Repository Landscape survey. Retrieved from https://doi.org/10.5281/zenodo.2643487</p> <p>Further information is given in the corresponding data paper:<br> von der Heyde, M. (2019). Open Data Landscape: Repository Usage of the Swiss Research Community: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643430</p> <p> </p> <p><strong>Contact</strong></p> <p>Swiss National Science Foundation (SNSF)</p> <p>Open Research Data Group</p> <p>E-mail: <a href="mailto:ord@snf.ch">ord@snf.ch</a></p> <p> </p> <p>swissuniversities</p> <p>Program "Scientific Information"</p> <p>Gabi Schneider</p> <p>E-Mail: <a href="mailto:isci@swissuniversities.ch">isci@swissuniversities.ch</a></p>
Data from the International Open Data Repository Survey
<p>This file collection is part of the ORD Landscape and Cost Analysis Project (DOI: 10.5281/zenodo.2643460), a study jointly commissioned by the SNSF and swissuniversities in 2018.</p> <p>Please cite this data collection as:<br> von der Heyde, M. (2019). Data from the International Open Data Repository Survey. Retrieved from https://doi.org/10.5281/zenodo.2643493</p> <p>Further information is given in the corresponding data paper:<br> von der Heyde, M. (2019). International Open Data Repository Survey: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643450</p> <p> </p> <p><strong>Contact</strong></p> <p>Swiss National Science Foundation (SNSF)</p> <p>Open Research Data Group</p> <p>E-mail: <a href="mailto:ord@snf.ch">ord@snf.ch</a></p> <p> </p> <p>swissuniversities</p> <p>Program "Scientific Information"</p> <p>Gabi Schneider</p> <p>E-Mail: <a href="mailto:isci@swissuniversities.ch">isci@swissuniversities.ch</a></p>
Phase II Open Label Trial to Determine Safety & Efficacy of Tisagenlecleucel in Pediatric Non-Hodgkin Lymphoma Patients
ClinicalTrials.gov study NCT03610724. IPD Sharing: YES. Countries: 14. Publications: 1.
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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.