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497 results for “proceedings”
FIGURE 1 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>FIGURE 1 of the conference paper "Solid state synthesis of CdS quantum dots through laser direct writing"</p>
FIGURE 4 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>The dataset includes two files: the word file describe the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 4.</p> <p>in the following is reported the description of figure 4 as wrote in the paper.</p> <p>PL emission of CdDBX QDs synthetized with single pulses at 355 nm, 10 ps and pulse energy varied between 4.67 to 7.6 μJ. (a), (b) and (c) are respectively the emission in blue, green and red range as defined in methodology. Graph (d) shows the change of the ratio between the red and green emission from the same points.</p>
FIGURE 5 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>The dataset contains two files: the word file describe the type of sample examined and the procedure used to obtain the DOIs used to obtain the plots. The second file is the excel file that includes the raw data used to obtain the plots reported in the figure 5 of the paper.</p> <p>In the following is reported the description of figure 5 as written in the paper:</p> <p>PL emission of CdDBX QDs synthetized with scanlines at 355 nm, 10 ps overlapping pulse of about 99.5% and</p> <p>pulse energy varied between 4.67 to 7.6 μJ. (a), (b) and (c) are respectively the emission in blue, green and red range as defined</p> <p>in methodology. Graph (d) shows the change of the ratio between the red and green emission from the same point. Point “X” is</p> <p>censored and not used to fit the model.</p>
Metrics and Methods used in IEEE/ACM HRI and IEEE RoMan Conference Proceedings from 2015 to 2021 Data
<p>This work analyzes a total of 1464 papers through examination of seven years of HRI Conference proceedings(2015 through 2021) and six years of Ro-Man Conference proceedings (2015 through 2020) to present a holistic snapshot of the state of methods and metrics in HRI research. Workshop proposals, late-breaking results, keynote talk abstracts, and demo presentations were omitted from this study due to varying methodologies and shorter study timeframes.</p>
Audio proceedings from CONFLICT: Collections, Archives and Heritage symposium
<p>The <em>CONFLICT: Archives, Collections and Heritage</em> workshop (in-person and online) explores the topic of cultural heritage, archives and museum collections in conflict and post-conflict times. Starting with Cambodia’s art history and archaeology, discussions will expand to a global perspective. It is organised by Magali An Berthon from the Center for Textile Research at the University of Copenhagen on 25 March 2024, in conjunction with the exhibition “The Art of Ikat: A Cambodian Renaissance” which opens on 22 February 2024, at the Royal University Library, University of Copenhagen South Campus. Linda Sok and Sophea Oum, two of the artists featured in the exhibition, will be in attendance.</p> <p>How does conflict affect the recovery, preservation and conservation of museum collections and archives? Does it also affect the meaning and significance of such collections, whether they survived or were lost? Facing disappearance and destruction how do artists and artisans offer invaluable responses toward restoration and healing? These are some of the key questions animating this day of discussion centred on innovative research approaches.</p> <p>This event was supported by the Carlsberg Foundation and the David Fond og Samling.</p>
Computer Applications in Archaeology conference proceedings citation analysis
<p>Comma-separated values (csv) files to accompany the paper: </p> <p>Huggett, J. (2024). 'Changing Theory and Practice? CAA and Archaeology's Digital Turn'. <em>Journal of Computer Applications in Archaeology</em> 7(1), pp. 316–331. DOI: <a href="https://doi.org/10.5334/jcaa.144" target="_blank" rel="noopener">10.5334/jcaa.144</a></p> <p>The data are based on the Scopus citation database (see <a href="https://www.elsevier.com/products/scopus" target="_blank" rel="noopener">https://www.elsevier.com/products/scopus</a>). The copyright for the database itself is held by Elsevier and requires a subscription to access. These files are derived data only, consisting of counts and associated statistics.</p>
Greek Parliament Proceedings 1989-2019
<p>This dataset originated from the work implemented during the course of the Master thesis entitled "<a href="http://www.pyxida.aueb.gr/index.php?op=view_object&object_id=6387">Speech quality and sentiment analysis on the Hellenic Parliament proceedings</a>" at the Athens University of Economics & Business in 2018. It has been updated multiple times since then, in order for the best result to be achieved.</p> <p>It includes 1,194,407 speeches of Greek parliament members with a total volume of 2.15 GB, that where exported from 5,118 parliamentary sitting record files and extend chronologically from 1989 up to 2019.</p> <p>The dataset was created with the three following basic steps:</p> <ul> <li>Collection of the record files of the parliament proceedings that are published on the website of the Greek Parliament <a href="https://www.hellenicparliament.gr/Praktika/Synedriaseis-Olomeleias">https://www.hellenicparliament.gr/Praktika/Synedriaseis-Olomeleias</a></li> <li>Collection of the official published names of all the members of the Hellenic Parliament from the website of the Greek Parliament <a href="https://www.hellenicparliament.gr/Vouleftes/Diatelesantes-Vouleftes-Apo-Ti-Metapolitefsi-Os-Simera/">https://www.hellenicparliament.gr/Vouleftes/Diatelesantes-Vouleftes-Apo-Ti-Metapolitefsi-Os-Simera/</a></li> <li>Detecting speakers and their corresponding speeches from the records and matching the speaker names provided in the records with the official parliament member names.</li> </ul> <p>The dataset consists of a csv file in UTF-8 encoding and includes the following columns of data:</p> <p><strong>member_name:</strong> The official name of the parliament member that talked during a sitting.</p> <p><strong>sitting_date: </strong>The date that the sitting took place. There are cases were more than one sittings took place at the same date.</p> <p><strong>parliamentary_period:</strong> The name and/or number of the parliamentary period that the speech took place in. A parliamentary period includes multiple parliamentary sessions.</p> <p><strong>parliamentary_session: </strong>The name and/or number of the parliamentary session that the speech took place in. A parliamentary session includes multiple parliamentary sittings.</p> <p><strong>parliamentary_sitting: </strong>The name and/or number of the parliamentary sitting that the speech took place in.</p> <p><strong>political_party: </strong>The political party that the speaker belongs to.</p> <p><strong>speaker_info: </strong>Information about the speaker extracted from the text of the proceeding/sitting record that refers to the parliamentary role of the speaker such as Chairman of the Parliament, Finance Minister or similar.</p> <p><strong>speech: </strong>The speech that the member made during the sitting of the Greek Parliament.</p> <p>Any fields that do not include information, due to omissions in the record files, are filled with a NaN value, apart from the speech field, which in such cases remains an empty string.</p> <p>Enjoy!</p>
Figure 2 in PREFACE: Proceedings of the XIV International Symposium of Neuropterology
Figure 2. Scientific Committee of XIV International Symposium of Neuropterology on the first organizational meeting. 1-Dr. Stephan Malfitano Carvalho; 2-Dr. Caleb Califre Martins; 3-Dr. Brígida Souza (President); 4-Dr. Renato Jose Pires Machado.
Figure 1 in PREFACE: Proceedings of the XIV International Symposium of Neuropterology
Figure 1. Logo of XIV International Symposium of Neuropterology represented by Albardia furcata van der Weele, 1903 (Neuroptera, Myrmeleontidae, Ascalaphinae). ©Caleb C. Martins.
Figure 1 in Proceedings of the 23rd Paediatric Rheumatology European Society Congress: part two
Figure 1. – Acropoma lecorneti, MNHN-IC-2008-1612, 141.9 mm SL, from Vanuatu. A: Lateral view of left side; B: Inside of the abdominal region of right side (dissected and outlined luminous gland).
BSL-Hansard: A parallel, multimodal corpus of English and interpreted British Sign Language data from parliamentary proceedings
<p>BSL-Hansard is a novel open source and multimodal resource composed by combining Sign Language video data in BSL and English text from the official transcription of British parliamentary sessions. This paper describes the method followed to compile BSL-Hansard including time alignment of text using the MAUS (Schiel, 2015) segmentation system, gives some statistics about this dataset, and suggests experiments. These primarily include end-to-end Sign Language-to-text translation, but is also relevant for broader machine translation, and speech and language processing tasks.</p> <p>This dataset will be useful for translation between BSL and English, or for studies in BSL or English down to the phonetic level.</p>
PPAST-GR Dataset: Greek Parliament Proceedings post WWII Analysis and Recognition
<p>The first post-WWII years in Greece were devastating. After a brutal Nazi occupation, the Greek Civil War (1946–1949) erupted. It wrecked the economy and the country’s infrastructure and altered politics and the social fabric for decades to come. For the tense and unstable first years of the conflict (1946–1947), a study of the issues discussed in the Greek parliament could facilitate our understanding of the society at the time. An obstacle is that parliament proceedings are publicly available in a machine-readable form from 1989; before that only scanned images of the original records exist. We show that text recognition followed by natural language processing can unlock this corpus for historical research. Using Transkribus, we trained a text recogniser (1.5% CER) that we applied to 3,156 images from 1946 and 1947. As low-quality recognition is inevitable, we trained a language model on the transcribed text and applied it to recognised text, discarding records with high average cross-entropy. Using information extraction techniques, we sampled speeches that were applauded and we introduce the first quantification of issues that were thus received. All our resources will be made public.</p> <p>Our model is publicly available through the Transkribus platform (http://www.transkribus.org/) under the name "Greek Parliamentary Proceedings 1946".</p>
Annotations for NP13 proceedings paper of Banzina & Niebuhr: How to pause in charismatic speeches: A case study of Barack Obama
<p>TextGrid file used in the above specified study as well as a readme document that includes a link to the corresponding/analyzed YouTube video and the time stamps from where to where the audio was analyzed. Both should enable users to (a) extract the audio from the YouTube video and (b) time align the extracted audio with the TextGrid file. Note that the PRAAT software tool (praat.org) is required to open TextGrid files properly.</p>
PROCEEDİNGS OF THE FIRST INTERNATIONAL SCIENTIFIC PRACTICAL CONFERENCE GENETIC DISEASES CONSEQUENCES AND TREATMENT: PROBLEMS AND DEVELOPMENT PERSPECTIVES
<p>Urology, </p> <p>Gynecology,<a href="https://www.google.az/search?client=opera&hs=nH2&sxsrf=ACYBGNT6NibSmqWL9NSPmT-FKHug_-acgQ:1574232206917&q=urology,+gynecology,+therapy,+oncology,&spell=1&sa=X&ved=2ahUKEwi3wuv7l_jlAhWpxcQBHTWODo8QkeECKAB6BAgMECg"> </a></p> <p>Therapy,</p> <p>Oncology,</p> <p>Clinical Medicine</p> <p>Prophylactic Medicine</p> <p>Theoretical Medicine</p> <p>Biophysics and Biochemistry</p> <p>Radiology and Microbiology</p> <p>Molecular Biology and Genetics</p> <p>Microbiology and Hydrobiology</p> <p>Virology and Immunology</p> <p>Entomology</p>
Proceeding of The International Research Education & Training Center
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE AND BIOLOGY SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
Proceeding of The International Research Education & Training Center
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE AND BIOLOGY SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
Data from NanoSIMS analysis, software LANS_LeKieffre et al. 2020_ Proceedings B
<p>Data extracted from NanoSIMS analysis with the software <a href="mailto:Look@NanoSIMS">Look@NanoSIMS</a> (Polerecky et al. 2012). Different foraminiferal cytoplasmic compartments and the symbiotic dinoflagellates were analyzed for their 13C/12C and 15N/14N isotopic ratios. Three experiments were made: incubations with (1) 13C-bicarbonate and 15N-ammonium, (2) 13C-bicarbonate and 15N-nitrate, and (3) feeding with 13C- and 15N-labeled food. Details can be found in the manuscript:<br> LeKieffre C. et al. 2020. Ammonium is the preferred source of nitrogen for planktonic foraminifer and their dinoflagellate symbionts. Proceedings of the Royal Society B.</p>
Greek Parliament Proceedings, 1989-2020
<p>This dataset is produced on behalf of <a href="http://www.imedd.org/">iMEdD</a> by PhD Student in Machine Learning <a href="https://orcid.org/0000-0003-3395-2182">Konstantina Dritsa</a>, with the contribution of data journalist and <a href="https://lab.imedd.org/">iMEdD Lab</a> Project Manager <a href="https://devlab.imedd.org/lab-author/%ce%ba%ce%ad%ce%bb%ce%bb%cf%85-%ce%ba%ce%b9%ce%ba%ce%ae/">Kelly Kiki</a>. iMEdD (incubator for Media Education and Development) is a non-profit journalism organisation that supports and promotes transparency, credibility and independence in journalism. Lab is iMEdD’s content production division which publishes original interactive investigative and data-driven stories by experimenting with new forms and tools in journalism. </p> <p>This dataset is the next version of a<a href="https://zenodo.org/record/2587904#.X7fMx80zaUn"> previous upload</a>, which originated from the work implemented during the course of the Master thesis entitled "<a href="http://www.pyxida.aueb.gr/index.php?op=view_object&object_id=6387">Speech quality and sentiment analysis on the Hellenic Parliament proceedings</a>" at the Athens University of Economics & Business in 2018 under the supervision of the Associate Professor <a href="https://orcid.org/0000-0002-3971-4612">Panagiotis Louridas</a>.</p> <p>This dataset includes 1,280,918 speeches (rows) of Greek parliament members with a total volume of 2.4 GB, that were exported from 5,355 parliamentary sitting record files. They extend chronologically from 1989 up to late July 2020. The dataset consists of a .csv file in UTF-8 encoding and includes the following columns of data:</p> <ul> <li> <p><strong>member_name</strong>: the official name of the parliament member who talked during a sitting.</p> </li> <li> <p><strong>sitting_date</strong>: the date that the sitting took place.</p> </li> <li> <p><strong>parliamentary_period</strong>: the name and/or number of the parliamentary period that the speech took place in. A parliamentary period includes multiple parliamentary sessions.</p> </li> <li> <p><strong>parliamentary_session</strong>: the name and/or number of the parliamentary session that the speech took place in. A parliamentary session includes multiple parliamentary sittings.</p> </li> <li> <p><strong>parliamentary_sitting</strong>: the name and/or number of the parliamentary sitting that the speech took place in.</p> </li> <li> <p><strong>political_party</strong>: the political party that the speaker belonged to the moment of their speech.</p> </li> <li> <p><strong>government</strong>: the government in force when the speech took place.</p> </li> <li> <p><strong>member_region</strong>: the electoral district the speaker belonged to.</p> </li> <li> <p><strong>roles</strong>: information about the parliamentary roles and/or government position of the speaker the moment of their speech.</p> </li> <li> <p><strong>member_gender</strong>: the sex of the speaker</p> </li> <li> <p><strong>speech</strong>: the speech that the member made during the parliamentary sitting</p> </li> </ul> <p>The methodology followed for the production of this dataset is described in the iMEdD Lab's article entitled "<a href="https://devlab.imedd.org/i-dimiourgia-tou-dataset-me-ta-koinovouleftika-praktika/">The creation of a dataset with the parliament proceedings within 31 years</a>". Scripts and relevant documentation are available on <a href="https://github.com/iMEdD-Lab/Greek_Parliament_Proceedings">GitHub</a>. </p>
Additional materials used in the paper "Towards Continuous Scientific Data Analysis and Hypothesis Evolution" on the Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)
<p>This bundle contains a web page describing the materials used in the evaluation of the paper, along with references to the software and datasets, provenance metadata and workflows used. All the scripts and descriptions are included as well.</p>
A Bibliometrics Analysis of Australian Computing Education Conference Proceedings
<p>The bib file includes the bib records of all research publications of Australasian Computing Education Conference prior to 2022.</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.