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3,673 results for “practices”
CATCH-EyoU: Meanings and Practices of Youth Participation and Cases of Successful Participation: Cross-national Documentary Evidence of Youth Civic and Political Participation Initiatives
<p>The data set integrates documentary evidence of national youth civic and political participation initiatives in Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. The evidence are represented as pamphlets, brochures, leaflets, newsletters, social media and websites, you tube videos, meme and vine campaigns. The participation initiatives are selected with a focus on initiatives used by national youth citizenship organizations for generating, supporting, communicating and engaging young people’s active participation in diverse and varied causes (the environment, voting at 16, anti-fees and cuts campaigns, rights around civic spaces and youth centers, employment and jobs-related campaigns, issues around race and religion, volunteering, refugees, local housing and education).</p> <p> </p> <p>The data set consists of: (1) a spreadsheet integrating data from all partner countries, and containing qualitative descriptions of activities and cataloguing associated materials of youth civic and political organizations; (2) a textual report containing exemplar images of publicly available online newsletters, minutes, reports and campaign materials from across the consortium (where feasible), copyright cleared and creative commons screenshots of websites, invitation letters, records of personal conversations with members of youth civic teams, quotes from researcher-conversations on social media or f-2-f with members of teams with names redacted.</p> <p>Personal data and all non-public data has been anonymized in order to protect participants’ privacy.</p> <p>The data can be re-used by researchers who want to compare our cross- European data with similar data collected in different countries, to perform textual analysis (content analysis and/or data mining) on our data. Also other stakeholders may be interested in reanalyzing our data for comparative aims.</p>
Is there a social life in Open Data? Open datasets exploring practices in Educational Technology Research
<p>In the landscape of Open Science, Open Data [OD] plays a crucial role as data are one of the most basic components of research despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers as the basis for good open science practices. The common factor underlying these new practices – the relevance of promoting open data circulation and reuse – is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, open data sharing is much less developed in social sciences and in educational research.</p> <p>The Open Data hereby introduced is composed of two integrated datasets which collect data relating practices of Open Data publication and sharing in the field of Educational Thecnologies. This data was collected to suport the aim of investigating open data sharing in a selection of open data repositories as well as in the academic social network site ResearchGate.</p> <p>The research questions addressing this study are:</p> <ol> <li>Do researchers in the field of Educational Technology publish Open Datasets [ODs]?</li> <li>To which extent are ODs compliant with the FAIR data principles?</li> <li>What is the social life relating to the ODs in terms of the metrics provided by the OD portals? As a subsidiary question: 3.a- To what extent do open data portals allow researchers to cultivate social practices around OD?</li> </ol> <p> </p> <p>In order to investigate OD presence in ResearchGate, the following research aim guided the second part of the study: Analysis of the presence of the same selected OD in ResearchGate and of the type of social activity OD exhibited by OD according to ResearchGate mètrics.</p> <p>The Open Data here presented is composed by two datasets.</p> <ol> <li>23 datasets extracted out from 82 randomly selected datasets, from an inital total of 633. The data set presents a Codebook explaining the several categories of analysis or variables and the values assigned to the same. Since the analysis was performed in two phases (first selection and screening, second selection and classification) the codebook is divided in two tables. Moreover, the data set contains 6 Worksheets, ordered taking the workflow as reference: Codebook, Dataset_Extraction, Analysis_Workflow, Selected_Analysis. This dataset has been produced and curated by J.E.Raffaghelli</li> <li>The analysis of correspondance for the 23 datasets in ResearchGate. The data set presents a Codebook, and is divided into two worksheets: Codebook, ODT&RG. The last worksheet introduces the comparison between the social mètrics within RG of the found datasets and the relating papers. This dataset has been produced and curated by S. Manca and J.E. Raffaghelli.</li> </ol>
Seasonal and Interannual Variability of Areal Extent of the Gulf Hypoxia from a Coupled Physical-Biogeochemical Model: A New Implication for Management Practice
<p>netcdf data and code for JGR manuscript: seasonal and interannual variability of areal extent of the Gulf Hypoxia from a coupled physical-biogeochemical model: A new implication for management practice</p>
Systematic review of the appropriateness of eye care delivery in eye care practice
<p>Data collected from the included literature (n=57).</p>
A new discovery in practice
<p>In optical experiments,using red irradiation which is 0.65 µm and has different, aperture such as 0.08mm, 0.2mm, 0.30mmhole gets the different number of rings carefully observing the video and photos can found that the number of rings whose aperture is 0.22mm, 0.30mm,is much larger than that of rings whose aperture is 0.08 in the optical there fore. The experimental fact that the aperture is hundreds or thousands of times longer than the wavelength of light waves by rough estimation is not consistent with the traditional theory that diffraction occurs only when the aperture is close to the wavelength. Obviously, the current wave optics theory has encountered difficulties, but challenges and opportunities coexist, which is a general rule of scientific development. Perhaps the real wave theory, the "wave-particle" theory, is waiting for us to rethink and re-explore.</p>
Research data sharing in Spain: exploring determinants, practices and perceptions
<p>Responses of the Spanish survey for research data, which was carried out within the framework of the project Datasea at the beginning of 2015. The purpose was to identify the habits and current experiences of Spanish researchers in health sciences in relation to the management and sharing of raw research data. The electronic questionnaire composed of 40 questions divided into three blocks that contained questions on the following aspects: A) Personal information; B) Creation and reuse of data; C) Preservation of data.</p>
Fig. 7 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 7. Setup of scanning containers. Images by HCMR micro-CT lab.
Input data for soil erosion practical
<p>This dataset is to be used for the soil erosion practical published at: https://github.com/wieka29/Soil-erosion-practical</p> <p> </p>
Magi Practical Web Article Corpus
<p>Magi Practical Web Article Corpus (MPWAC) contains 10 million Chinese web articles consisting of more than 10 billion words. Articles have been shuffled to mitigate the negative influence on mini-batch based training. Each article has been refined such that only the main body of the text is left, without advertisements or other noises.</p> <p>This corpus is extracted in May 2019, by <a href="https://magi.com/">magi.com</a> crawlers located inside Mainland China.</p> <p>The merged file should be processed with Gzip stream. It is encoded in UTF-8, and has the format of '0xFE [URL] 0xFF [TEXT] ...'.</p>
Fig. 2 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 2. Schematic overview of the X-Ray generator.
Semantic Triples from "A Collaborative, Realism-Based, Electronic Healthcare Graph: Public Data, Common Data Models, and Practical Instantiation"
<p>These RDF triples (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_graph_exportable.nq.zip?versionId=7aff7c4a-bb0c-46ae-b006-7a80bcec0925">synthea_graph_exportable.nq.zip</a>) are the result of modeling electronic health records (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_csv_output_turbo_cannonical.zip">synthea_csv_output_turbo_cannonical.zip), </a>that were synthesized with the Synthea software (https://github.com/synthetichealth/synthea). Anyone who loads them into a triplestore database is encouraged to provide feedback at https://github.com/PennTURBO/EhrGraphCollab/issues. The following abstract comes from a paper, describing the semantic instantiation process, and presented to the ICBO 2019 conference (https://drive.google.com/file/d/1eYXTBl75Wx3XPMmCIOZba-8Cv0DIhlRq/view).</p> <p>ABSTRACT: There is ample literature on the semantic modeling of biomedical data in general, but less has been published on realism-based, semantic instantiation of electronic health records (EHR). Reasons include difficult design decisions and issues of data governance. A collaborative approach can address design and technology utilization issues, but is especially constrained by limited access to the data at hand: protected health information.</p> <p>Effective collaboration can be facilitated by public EHR-like data sets, which would ideally include a large variety of datatypes mirroring actual EHRs and enough records to drive a performance assessment. An investment into reading public EHR-like data from a popular common data model (CDM) is preferable over reading each public data set’s native format.</p> <p>In addition to identifying suitable public EHR-like data sets and CDMs, this paper addresses instantiation via relational-to-RDF mapping. The completed instantiation is available for download, and a competency question demonstrates fidelity across all discussed formats.</p>
Continuous Non-Functional Requirements: Practices, Opportunities, and Trade-offs for Small, Agile Organizations
<p>This data represents two artifacts from our research in evaluating how small, agile organizations manage non-functional requirements in conjunction with continuous practices. It includes our base interview questions and the resulting codebook.</p> <p>This page includes supplementary materials associated with our paper entitled "Continuous Non-Functional Requirements: Practices, Opportunities, and Trade-offs for Small, Agile Organizations".</p>
Derivatives Law and Practice in the Middle East
<p>The purpose of the paper, part of a project by Boston University Law School, is to examine derivatives law in some Middle Eastern countries including the UAE.</p>
Figure 1 in A proposed best practice approach to overcome unverified and unverifiable "first records" in ichthyology
Figure 1. - Lobotes surinamensis, caught in the Adriatic Sea (Raša Bay, Luka cove), 342 mm TL.
Addressing Sex Imbalance In EGA And dbGaP Biological Databases: A Roadmap For Better Practices
<p>Data extracted from EGA and dbGaP analyzed in<strong> "Addressing Sex Imbalance In EGA And dbGaP Biological Databases: A Roadmap For Better Practices"</strong></p>
D1.4 - Consolidated OA data set for responsible research practices and trust in science: POIESIS National and Regional Database
<p>Deliverable 1.4 of the POIESIS project is a consolidated open access data set for responsible research practices and trust in science. D1.4 consists of two databases: the POIESIS National Database and the POEISIS Regional Database. The method and rationale behind the construction of all indicators in both databases are laid out in Work Package 1’s previous deliverable, D1.3 (Bauer et al., 2024). The two database are accompanied by a Guidance Sheet which provides details and relevant notes regarding the structure of the two databases. </p> <p> </p>
Pre-post First Aid Interventional Program on Knowledge and Practice of Primary School Teachers in Governmental Basic Schools - River Nile State – Sudan
<p>Children spend most of the time in school where they are exposed to various types of injuries, which influence their present and future state of health. First aid is the treatment of any injury or illness before availability of medical aid. Teacher is the key person who can attend the children for injuries in school through complete knowledge regarding first aid. This study was done among primary school teachers to evaluate the effectiveness of education programon knowledge and practice regarding first aid. The objective of this study was to evaluate the effect of first aid health education program on knowledge, and practice of primary school teachers in River Nile. Pre and post interventional study design was used to evaluate the effect of first aid training program on knowledge and practice of primary school teachers . Data was derived from 45 respondents participating from AL-matama locality which selected by non-probability convenience sampling technique. Structural questionnaire for knowledge and checklist for practice of first aid practice. Data collected pre and immediate post implementation of first aid health education program. Data analyzed by SPSS version 25. Knowledge about first aid improved from Inadequate 44(97.8%), moderately adequate 1.0(2.2%) and adequate 0.0(0.0%) in pre intervention toInadequate 0.0(0.0%), moderately adequate 8.0(17.8%) and adequate 37(82.2%) post intervention, while also showed improvement in practice from inadequate 45(100%), moderately adequate 0.0(0.0%), and adequate 0.0(0.0%) in pre intervention toInadequate 0.0(0.0%), moderately adequate 4.0(8.9%) and adequate 41(91.1%) post intervention. Paired sample t-test revealed that the mean post-test knowledge score regarding first aidis significantly higher (77.25±3.53) than that of mean pretest knowledge score (39.57± 6.82) (P < 0.001)); mean posttest practice score was significantly higher (85.35 ± 7.29) then mean pretest practice score (30.56± 8.61) (P < 0.001). There is highly increased in Average Percent of correct Answers in knowledge and practice post intervention in relation to pre intervention in all first aid items, there is no significant correlation between education and knowledge practice score pre and post since p-value > 0.05.The result of the study showed effectiveness of the first aid health education program in improving teacher’s knowledge, and is highly effective in improving practice, supported hypotheses.</p>
CF_D3 Interviews with with best practices of climate finance
<p><span>The CLIMATEFIT dataset D1 contains data </span><span>collected</span><span> as part of </span><span>WP1’s</span> <span>T</span><span>ask 1.1</span><span>: </span><span>Understand and capitalise on the good practices (M1-M10; Leader: UA</span><span>). This dataset contains interviews that were conducted with stakeholders involved in international best practices of innovative climate finance, and innovative adaptation funding and financing solutions.</span></p> <p><span>Data that is already published on the CLIMATEFIT website in WP1’s <a href="https://climatefit-heu.eu/knowledge-center/">Deliverable 1.1: Adaptation Investment Landscape</a>, is not included in this dataset.</span></p> <p><span>More information can be found in the Readme file in this dataset.</span></p>
Data from "Relaxed alertness in novice and advanced meditators – A neurophysiological and psychological study of Isha Yoga practices"
<p>This dataset contains EEG power spectral data, statistical values and codes used for the findings of the paper titled:</p> <p>"Relaxed alertness in novice and advanced meditators – A neurophysiological and psychological study of Isha Yoga practices", accepted for publication in Mindfulness Journal.</p> <p>Authored by Saketh Malipeddi, Arun Sasidharan, Ravindra P.N., Seema Mehrotra, John P John and Bindu M. Kutty</p> <p>from Centre for Consciousness Studies, Department of Neurophysiology, NIMHANS, Bengaluru, India</p> <p> </p> <p> </p> <p><br> </p>
Exploring Data at Scale with Arkouda: A Practical Introduction to Scalable Data Science
<p><span>Data scientists can be thought of as modern-day explorers, venturing into the vast unknown of information. However, this exciting journey is not without its hurdles. One of the biggest challenges they face is the sheer immensity of data they encounter. Modern datasets cannot fit in laptop memory, containing terabytes or even petabytes of information. Working with such massive data requires specialized tools and techniques to extract meaningful insights. As data sets are growing ever larger, data science demands interactivity, where scientists can learn while working with the data. At the same time, data science demands scalability, where scientists are able to work with data sets in their entirety. Data scientists have naturally been drawn to Python as it provides interactivity through its read, evaluate, print loop and performance through its utilization of libraries written in other languages, like C and Fortran. These libraries typically are not designed for HPC and run into problems when attempting to scale. The gap that Arkouda fills in the data science landscape is a library that is both interactive, providing a familiar Python API, and scalable, leveraging a scalable Chapel server in the backend. Arkouda is a framework for scalable Python packages for interactive data science and has applications ranging from oceanography to net flow analysis.</span></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.