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497 results for “proceedings”
Data for Floor heating pre-on/off parameters based on Model Predictive Control feature extrapolation Paper in CLIMA2022 conference proceedings
<p>This is a collection of time series results used to obtain all the results shown in the paper. The tags of the .csv or .mat files are self explanatory and easy to use.</p>
Supplementary Data Files of the Greek Parliament Proceedings Dataset
<p>The dataset includes supplementary files of the previous upload "<a href="https://zenodo.org/record/6626316">A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis</a>". Specifically, it includes the 5,355 sitting record files from which speeches were extracted in the form of the conversation that took place in the Greek Parliament as well as the previous versions of the tell_all_cleaned.csv before preprocessing and cleaning, namely tell_all.csv and tell_all_FILLED.csv.</p> <ul> <li>original_data: A folder of the original record files downloaded from the website of the Greek Parliament (https://www.hellenicparliament.gr/Praktika/Synedriaseis-Olomeleias). The filenames are edited to follow the naming format "recordDate_id_periodNo_sessionNo_sittingNo.ext".</li> <li>_data: A folder of the record files converted to text format with filenames translated to English.</li> <li>tell_all.csv: The initial file of all extracted speeches before preprocessing and cleaning. The file includes the following columns: member_name, sitting_date, parliamentary_period, parliamentary_session, parliamentary_sitting, political_party, government, member_region, roles, member_gender, speaker_info, speech.</li> <li>tell_all_FILLED.csv: This file is an intermediate step of preprocessing of the tell_all.csv file. In this file, missing names of chairmen of various parliamentary sittings are filled. It includes the same columns as the tell_all.csv file.</li> </ul> <p>-------------</p> <p><strong><em>Acknowledgments:</em></strong></p> <p>This work was supported by the European Union’s Horizon 2020 research and innovation program ``FASTEN'' under grant agreement No 825328 and the non profit data journalism organization iMEdD.org.</p>
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
<p>The dataset is a new version of the previous upload and includes the following files:</p> <p>1. <strong>dataset_versions/tell_all.csv: </strong>The initial dataset of 1,280,927 extracted speeches, before preprocessing and cleaning. The speeches extend chronologically from July 1989 up to July 2020 and were exported from 5,355 parliamentary sitting record files. The file has a total volume of 2.5 GB and includes the following columns:</p> <ul> <li>member_name: the name of the individual who spoke during a sitting.</li> <li>sitting_date: the date the sitting took place.</li> <li>parliamentary_period: the name and/or number of the parliamentary period that the speech took place in. A parliamentary period is defined as the time span between one general election and the next. A parliamentary period includes multiple parliamentary sessions.</li> <li>parliamentary_session: the name and/or number of the parliamentary session that the speech took place in. A session is defined as a time span of usually 10 months within a parliamentary period during which the parliament can convene and function as stipulated by the constitution. A session can fall into the following categories: regular, extraordinary or special. In the intervals between the sessions the parliament is in recess. A parliamentary session includes multiple parliamentary sittings.</li> <li>parliamentary_sitting: the name and/or number of the parliamentary sitting that the speech took place in. A sitting is defined as a meeting of parliament members.</li> <li>political_party: the political party of the speaker.</li> <li>government: the government in force when the speech took place.</li> <li>member_region: the electoral district the speaker belonged to.</li> <li>roles: information about the parliamentary roles and/or government position of the speaker.</li> <li>member_gender: the gender of the speaker</li> <li>speech: the speech that the individual gave during the parliamentary sitting.</li> </ul> <p>2. <strong>dataset_versions/tell_all_FILLED.csv: </strong>This file is an intermediate version of the dataset that includes improvements in the consistency and completeness of the dataset, with a total volume of 2.5 GB. Specifically, this file is produced by filling the missing names of chairmen of various parliamentary sittings of the "tell_all.csv". It includes the same columns as the "tell_all.csv" file.</p> <p>3.<strong> dataset_versions/tell_all_cleaned.csv: </strong>This version of the dataset is the result of further cleaning and preprocessing and is used for our word usage change study. It consists of 1,280,918 speech fragments of Greek parliament members in the order of the conversation that took place, with a total volume of 2.12 GB. It includes the same columns as the aforementioned versions. The preprocessing includes the replacement of all references to political parties with the symbol "@" followed by an abbreviation of the party name, using regular expressions that capture different grammatical cases and variations. It also includes the removal of accents, strings with length less than 2 characters, all punctuation except full stops, and the replacement of stopwords with "@sw".</p> <p>4. <strong>wiki_data</strong>: A folder of modern Greek female and male names and surnames and their available grammatical cases crawled from the entries of the Wiktionary Greek names category (https://en.wiktionary.org/wiki/Category:Greek_names). We produced the grammatical cases of the missing grammatical entries according to the rules of the Greek grammar and saved the files in the same folder by adding to their filenames the string "_populated.json".</p> <p>5. <strong>parl_members_activity_1989onwards_with_gender.csv</strong>: The Greek Parliament website provides a<br> <a href="https://www.hellenicparliament.gr/Vouleftes/Diatelesantes-Vouleftes-Apo-Ti-Metapolitefsi-Os-Simera/">list</a> of all the elected members of parliament since the fall of the military junta in Greece, in 1974. We collected and cleaned the data, added the gender and kept the elected members from 1989 onwards, matching the available parliament proceeding records. This dataset includes the full names of the members, the date range of their service, the political party they served, the electoral district they belonged to and their gender.</p> <p>6. <strong>formatted_roles_gov_members_data.csv</strong>: As government members we refer to individuals in ministerial or other government posts, regardless of whether they were elected in the parliament. This information is available in the website of the <a href="https://gslegal.gov.gr/?page_id=776&sort=time">Secretariat General for Legal and Parliamentary Affairs</a>. The government members dataset includes the full names of the official individuals, the name of the role they were given, the date range of their service at each specific role and their gender.</p> <p>7. <strong>governments_1989onwards.csv</strong>: A dataset of government information including the names of governments since 1989, their start and end dates, and a URL that points to the respective official government web page of each past government. The data is crawled from the website of the <a href="https://gslegal.gov.gr/?page_id=776&sort=time">Secretariat General for Legal and Parliamentary Affairs</a>.</p> <p>8. <strong>extra_roles_manually_collected.csv</strong>: A dataset with manually collected information from Wikipedia about additional government or parliament posts such as Chairman of the Parliament, party leaders, opposition leaders and other information.</p> <p>9. <strong>all_members_activity.csv</strong>: A dataset of all the information of the aforementioned files 3,4,5,6 merged. Each row of the file includes the full name of the individual, the start and end date of their term of office, the political party and electoral district they belonged to, their gender, the parliamentary and/or government positions that they held along with start and end dates, and the name of the government that was in power during their term of office. An individual can change political parties or become an independent member of the parliament during a parliamentary period, thus having more than one entries/rows in the file.</p> <p>10. <strong>freqs_for_semantic_shift_cleaned_data_decade1990.csv & freqs_for_semantic_shift_cleaned_data_decade2010.csv</strong>: Files of frequencies of words in the corpora of the decades 1990-1999 and 2010-2019.</p> <p>11. <strong>compass_top100.csv:</strong> Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Compass tool by V. D. Carlo et. al. [1].</p> <p>12. <strong>compass_fc_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Compass tool [1] in combination with the frequency cut-offs of the Gonen et. al. approach [3]. For the frequency cut-offs, the files in bullet 8 are used.</p> <p>13. <strong> procrustes_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Orthogonal Procrustes approach of Hamilton et. al. [2].</p> <p>14. <strong>nn_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Gonen et. al. approach [3].</p> <p>15. <strong>second_order_top100.csv</strong>: Top 100 most changed words between the decades 1990-1999 and 2010-2019, as computed with the use of the Second-Order Similarity approach by Hamilton et. al. [4].</p> <p>16. <strong>top100_minfreq50.xls</strong>: An .xls file for convinient viewing of the top 100 most changed words per approach with minimum frequency of 50 occurrences, produced by merging the aforementioned files 11, 12, 13, 14, 15 and 16.</p> <p>17. <strong>freqs_for_semantic_shift_cleaned_data_period1997_2007.csv & freqs_for_semantic_shift_cleaned_data_period2008_2018.csv</strong>: Files of frequencies of words in the corpora of the decades before (1997_2007) and during (2008_2018) the Greek economic crisis.</p> <p>18. <strong>semantic_shifts_dichotomy_crisis_compass_1997_2007_2008_2018_atleast50.csv</strong>: A file with the top 100 most changed words between between the decades before (1997-2007) and during (2008-2018) the Greek economic crisis. The computations are implemented with the use of the Compass tool.</p> <p>19. <strong>selected_topics_shift_per_period_compass.csv</strong>: The usage change of selected topics/words of generic political interest between pairs of consecutive parliamentary periods. The computations are implemented with the use of the Compass tool.</p> <p>20. <strong>semantic_shifts_party_embeddings_per_period_merged_compass.csv</strong>: The usage change of selected political party names that have played an important role in recent political history, namely New Democracy (ND), the Panhellenic Socialist Movement (PASOK), the Coalition of the Radical Left - Progressive Alliance (SYRIZA), the Communist Party of Greece (KKE), the Coalition of the Left, of Movements and Ecology (SYN) and Golden Dawn (GD).</p> <p>-------------</p> <p><strong><em>Citations:</em></strong></p> <p>[1] Valerio Di Carlo, Federico Bianchi, and Matteo Palmonari. Training Temporal Word Em- beddings with a Compass. In <em>Proceedings of the Thirty–Third AAAI Conference on Artificial Intelligence</em>, AAAI’19, pages 6326–6334, 2019. doi: 10.1609/aaai.v33i01.33016326.</p> <p>[2] William L. Hamilton, Jure Leskovec, and Dan Jurafsky. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. In <em>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</em>, ACL 2016, pages 1489– 1501, Berlin, Germany, August 2016. Association for Computational Linguistics. doi: 10. 18653/v1/P16-1141. URL https://www.aclweb.org/anthology/P16-1141.</p> <p>[3] Hila Gonen, Ganesh Jawahar, Djamé Seddah, and Yoav Goldberg. Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora. In <em>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</em>, ACL 2020, pages 538– 555, Online, July 2020. Association for Computational Linguistics. doi: 10.18653/v1/2020.acl- main.51. URL https://aclanthology.org/2020.acl-main.51.</p> <p>[4] William L. Hamilton, Jure Leskovec, and Dan Jurafsky. Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. In <em>Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing</em>, EMNLP 2016, pages 2116–2121, Austin, Texas, November 2016. Association for Computational Linguistics. doi: 10.18653/v1/D16-1229. URL https://www.aclweb.org/anthology/D16-1229.</p> <p>-------------</p> <p><strong><em>Acknowledgments:</em></strong></p> <p>This work was supported by the European Union’s Horizon 2020 research and innovation program ``FASTEN'' under grant agreement No 825328 and the non profit data journalism organization iMEdD.org.</p>
EuroparlExtract - Directional Parallel Corpora Extracted from the European Parliament Proceedings Parallel Corpus
<p>This dataset contains directional parallel corpora extracted from the European Parliament Proceedings Corpus (Europarl) v7 created by Philipp Koehn (see http://www.statmt.org/europarl/). For the extraction, the EuroparlExtract corpus processing toolkit by Michael Ustszewski (2017) was used. EuroparlExtract is freely available under the MIT License (see https://github.com/mustaszewski/europarl-extract).</p>
EuroparlExtract - Comparable Corpora Extracted from the European Parliament Proceedings Parallel Corpus
<p>This dataset contains comparable translational corpora extracted from the European Parliament Proceedings Corpus (Europarl) v7 created by Philipp Koehn (see http://www.statmt.org/europarl/). For the extraction, the EuroparlExtract corpus processing toolkit by Michael Ustszewski (2017) was used. Europarl Extract is freely available under the MIT License (see https://github.com/mustaszewski/europarl-extract).</p>
Figures. Exploring the Archived Web in a Highly Transformative Age. Proceedings. dir. S.Gebeil & J.-C. Peyssard
<p>Given recent global crises, the imperative to preserve and analyze online content has never been more vital to enhancing our comprehension of contemporary changes. This book, the outcome of an 5th international RESAW conference that convened experts from 50 disciplines across 17 countries in Marseille in June 2023, tackles the multifaceted challenges of web archiving. It underscores the dual roles of web archiving, as a cultural heritage and as essential source material for researchers delving into contemporary events and the evolution of digital culture. Through 20 chapters, it explores the development of web archiving and examines how technical, cultural, geopolitical, societal and environmental shifts impact its conception, study and dissemination. </p> <p> </p>
Auswertung zur Referenzierung von Forschungsdaten in den ECTEL-Proceedings 2019-2023
<p>Der Datensatz enthält eine Auswertung dazu, wie in den Proceedings der European Conference on Technology-Enhanced Learning (ECTEL) von 2019-2023 Forschungsdaten und Softwareartefakte durch Referenzen auffindbar und zugreifbar gemacht werden.</p> <p>Für die Erhebung wurden alle Beitragskategorien der ECTEL-Hauptkonferenz berücksichtigt. Beiträge zu den Workshops wurden nicht berücksichtigt. Alle Beiträge wurden vom Erstautor daraufhin untersucht, ob ihrem Inhalt Forschungsdaten zugrunde liegen. Als Indikatoren dafür wurde die Forschungsmethodik (sofern beschrieben) auf Tätigkeiten überprüft, bei der Forschungsdaten anfallen. Ferner wurden die textuell beschriebenen Ergebnisse sowie Abbildungen (sofern vorhanden) daraufhin untersucht, ob sie Ausschnitte aus Forschungsdaten oder aggregierte Daten enthalten. Im Ergebnis wurde für jeden Beitrag festgehalten, ob ein unmittelbarer Bezug zu Forschungsdaten vorliegt, wobei ein Bezug zu Softwareartefakten als Informatik-spezifische Form von Forschungsdaten gesondert erfasst wurde.</p> <p>Für alle Beiträge, die Forschungsdaten enthalten wurde geprüft, ob im Beitrag Verweise auf den Veröffentlichungsort der Daten in Form einer URL, einer DOI oder eines Verweises auf eine andere schriftliche Publikation enthalten sind. Im Fall von URLs und DOIs wurde ferner geprüft, ob diese Verweise tatsächlich zu einer zugreifbaren Ressource führen. Bei schriftlichen Publikationen wurde überprüft, ob es eine solche Veröffentlichung gibt. Eine inhaltliche Prüfung der Vollständigkeit oder Qualität der referenzierten Daten wurde in keinem der Fälle vorgenommen. Es wurde allerdings erhoben, ob im Beitrag selbst Informationen dazu gegeben wurde, wenn nur ein Teil der Forschungsdaten über die genannten Referenzen verfügbar war, beispielsweise lediglich ein verwendeter Fragebogen, nicht jedoch alle darüber erhobenen Rohdaten.</p>
PROCEEDING OF THE INTERNATIONAL RESEARCH EDUCATION & TRAINING CENTRE (PIRETC)
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICAL SCIENCE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
Proceeding of The International Research Education & Training Centre.
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED 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 Centre
<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 Centre.
<p>AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES</p> <p>SOCIAL, PEDAGOGY SCIENCES & HUMANITIES</p> <p>MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES</p> <p>TECHNICAL AND APPLIED SCIENCES</p> <p>REGIONAL DEVELOPMENT AND INFRASTRUCTURE</p> <p>ECONOMIC, MANAGEMENT & MARKETING SCIENCES</p> <p>LEGAL, LEGISLATION AND POLITICAL SCIENCES</p>
Dataset for proceedings paper: How international is co-authorship outside of Web of Science? The case of social sciences and humanities in Flanders, Belgium
<p>This is an anonymized dataset containing data on international collaboration in the social sciences and humanities (SSH) in Flanders, Belgium. It is based on all peer-reviewed publications in <a href="https://www.ecoom.be/en/data-collections/vabb-shw">VABB-SHW</a>, regardless of their indexation in WoS or other databases.</p> <p>The dataset accompanies the conference paper 'How international is co-authorship outside of Web of Science? The case of social sciences and humanities in Flanders, Belgium,' which was submitted to <a href="https://cns-iu.github.io/workshops/2023-07-02_issi/index.html">ISSI 2023</a>.</p>
Evaluation input for The Combined Approach to Query Answering in Horn-ALCHOIQ (Carral, Dragoste, Krötzsch, in proceedings of KR 2018)
<p>This repository contains the input data for the evaluation presented in the following publication:</p> <blockquote> <p>David Carral, Irina Dragoste, Markus Krötzsch: <strong>The Combined Approach to Query Answering in Horn-ALCHOIQ.</strong> Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018).</p> </blockquote> <p>Together with the materials in https://github.com/knowsys/eval-combined-approach-horn-alchoiq, the input data here provides all the necessary tools and datasets to reproduce the experiments described in this paper.<br> <br> Contents:<br> - <strong>input_files_for_Konclude </strong>- input data for the experiments that use Konclude tool<br> - <strong>input_files_for_RDFox </strong>- input data for the experiments that use our prototype (https://github.com/knowsys/eval-combined-approach-horn-alchoiq/tree/master/combined-approach), which is based on RDFox tool<br> - <strong>RDFox_dependency </strong>- the RDFox reasoner version used in our prototype implementation</p>
Auswertung zur Referenzierung von Forschungsdaten in den DELFI-Proceedings 2018-2022
<p>Der Datensatz enthält eine Auswertung dazu, wie in den Proceedings der DELFI-Tagung 2018-2022 Forschungsdaten und Softwareartefakte durch Referenzen auffindbar und zugreifbar gemacht werden.</p> <p>Für die Erhebung wurden alle Beitragskategorien der DELFI-Hauptkonferenz berücksichtigt. Beiträge zu den Workshops wurden nicht berücksichtigt. Alle Beiträge wurden vom Erstautor daraufhin untersucht, ob ihrem Inhalt Forschungsdaten zugrunde liegen. Als Indikatoren dafür wurde die Forschungsmethodik (sofern beschrieben) auf Tätigkeiten überprüft, bei der Forschungsdaten anfallen. Ferner wurden die textuell beschriebenen Ergebnisse sowie Abbildungen (sofern vorhanden) daraufhin untersucht, ob sie Ausschnitte aus Forschungsdaten oder aggregierte Daten enthalten. Im Ergebnis wurde für jeden Beitrag festgehalten, ob ein unmittelbarer Bezug zu Forschungsdaten vorliegt, wobei ein Bezug zu Softwareartefakten als Informatik-spezifische Form von Forschungsdaten gesondert erfasst wurde. Die so gewonnenen Erhebungsdaten wurden vom Zweitautor des vorliegenden Beitrags in einer zweiten Sichtung aller Beiträge überprüft.</p> <p>Für alle Beiträge, die Forschungsdaten enthalten wurde geprüft, ob im Beitrag Verweise auf den Veröffentlichungsort der Daten in Form einer URL, einer DOI oder eines Verweises auf eine andere schriftliche Publikation enthalten sind. Im Fall von URLs und DOIs wurde ferner geprüft, ob diese Verweise tatsächlich zu einer zugreifbaren Ressource führen. Bei schriftlichen Publikationen wurde überprüft, ob es eine solche Veröffentlichung gibt. Eine inhaltliche Prüfung der Vollständigkeit oder Qualität der referenzierten Daten wurde in keinem der Fälle vorgenommen. Es wurde allerdings erhoben, ob im Beitrag selbst Informationen dazu gegeben wurde, wenn nur ein Teil der Forschungsdaten über die genannten Referenzen verfügbar war, beispielsweise lediglich ein verwendeter Fragebogen, nicht jedoch alle darüber erhobenen Rohdaten.</p>
Dataset related to article: Cell-envelope growth of Gram-negative bacteria proceeds independently of cell-wall synthesis
<p>Single-cell data for the article: </p> <p>Enno R. Oldewurtel, Yuki Kitahara, Baptiste Cordier, Richard Wheeler, Gizem Özbaykal, Elisa Brambilla, Ivo Gomperts Boneca, Lars D. Renner, and Sven van Teeffelen</p> <p>Cell-envelope growth of Gram-negative bacteria proceeds independently of cell-wall synthesis. EMBO J (2023)</p>
Data from: Genomic analysis suggests that mitonuclear coevolution proceeds over rapid timescales in the Amazonian Pipra manakin complex
Open the record for dataset details and reuse information.
PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS
<p>Mathematics</p> <p>Computer Science Mechanics</p> <p> </p> <p>Mechanics</p> <p>Mechanics of deformable solid materials</p> <p>Dynamics and durability of machinery, devices and systems</p> <p> </p> <p>Chemistry</p> <p>Analytical chemistry</p> <p>Inorganic Chemistry</p> <p>Organic chemistry</p> <p>Physical chemistry</p> <p>Petro chemistry</p> <p>Chemical kinetics and catalysis</p> <p>Chemistry and technology of composite materials</p> <p> </p> <p>Earth Sciences</p> <p>Geophysics, geophysical methods of exploration of mineral resources</p> <p>Lithology</p> <p>Hydrogeology</p> <p>Engineering geology</p> <p>Geology and exploration of oil and gas fields</p> <p>Well drilling technology</p> <p>Processing and exploration of oil and gas fields</p> <p>Development technology of offshore resource fields</p> <p> </p> <p>Technical Sciences</p> <p>Chemical technology and engineering</p> <p>Materials technology</p> <p>Machines, equipment and processes</p> <p>Theoretical electrical Engineering</p> <p>Electrical systems and complexes</p> <p>Thermal power plants (thermal unit)</p> <p>The theoretical foundations of thermal installations</p> <p>High Voltage Technology</p> <p>Information measurement and management systems (different fields)</p> <p>System analysis, management and information processing</p> <p>Construction and operation of oil and gas pipelines, bases reservoirs</p> <p>Solids electronics, radio-electronic components, micro and Nano electronics</p> <p> </p> <p>Economic sciences</p> <p>Types of economic activity</p> <p>Area economy</p> <p>World economy</p> <p>Organizing and management of the entities</p>
PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS
<p>Mathematics</p> <p>Computer Science Mechanics</p> <p> </p> <p>Mechanics</p> <p>Mechanics of deformable solid materials</p> <p>Dynamics and durability of machinery, devices and systems</p> <p> </p> <p>Chemistry</p> <p>Analytical chemistry</p> <p>Inorganic Chemistry</p> <p>Organic chemistry</p> <p>Physical chemistry</p> <p>Petro chemistry</p> <p>Chemical kinetics and catalysis</p> <p>Chemistry and technology of composite materials</p> <p> </p> <p>Earth Sciences</p> <p>Geophysics, geophysical methods of exploration of mineral resources</p> <p>Lithology</p> <p>Hydrogeology</p> <p>Engineering geology</p> <p>Geology and exploration of oil and gas fields</p> <p>Well drilling technology</p> <p>Processing and exploration of oil and gas fields</p> <p>Development technology of offshore resource fields</p> <p> </p> <p>Technical Sciences</p> <p>Chemical technology and engineering</p> <p>Materials technology</p> <p>Machines, equipment and processes</p> <p>Theoretical electrical Engineering</p> <p>Electrical systems and complexes</p> <p>Thermal power plants (thermal unit)</p> <p>The theoretical foundations of thermal installations</p> <p>High Voltage Technology</p> <p>Information measurement and management systems (different fields)</p> <p>System analysis, management and information processing</p> <p>Construction and operation of oil and gas pipelines, bases reservoirs</p> <p>Solids electronics, radio-electronic components, micro and Nano electronics</p> <p> </p> <p>Economic sciences</p> <p>Types of economic activity</p> <p>Area economy</p> <p>World economy</p> <p>Organizing and management of the entities</p>
PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER
<p>Economics and Management of Oil and Gas Enterprises</p> <p>Economy and Management of a National Economy</p> <p>Mathematical Methods, Models and Information Technologies in Economics</p> <p> </p>
PROCEEDINGS OF AZERBAIJAN HIGH TECHNICAL EDUCATIONAL INSTITUTIONS
<p>Mathematics</p> <p>Computer Science Mechanics</p> <p> </p> <p>Mechanics</p> <p>Mechanics of deformable solid materials</p> <p>Dynamics and durability of machinery, devices and systems</p> <p> </p> <p>Chemistry</p> <p>Analytical chemistry</p> <p>Inorganic Chemistry</p> <p>Organic chemistry</p> <p>Physical chemistry</p> <p>Petro chemistry</p> <p>Chemical kinetics and catalysis</p> <p>Chemistry and technology of composite materials</p> <p> </p> <p>Earth Sciences</p> <p>Geophysics, geophysical methods of exploration of mineral resources</p> <p>Lithology</p> <p>Hydrogeology</p> <p>Engineering geology</p> <p>Geology and exploration of oil and gas fields</p> <p>Well drilling technology</p> <p>Processing and exploration of oil and gas fields</p> <p>Development technology of offshore resource fields</p> <p> </p> <p>Technical Sciences</p> <p>Chemical technology and engineering</p> <p>Materials technology</p> <p>Machines, equipment and processes</p> <p>Theoretical electrical Engineering</p> <p>Electrical systems and complexes</p> <p>Thermal power plants (thermal unit)</p> <p>The theoretical foundations of thermal installations</p> <p>High Voltage Technology</p> <p>Information measurement and management systems (different fields)</p> <p>System analysis, management and information processing</p> <p>Construction and operation of oil and gas pipelines, bases reservoirs</p> <p>Solids electronics, radio-electronic components, micro and Nano electronics</p> <p> </p> <p>Economic sciences</p> <p>Types of economic activity</p> <p>Area economy</p> <p>World economy</p> <p>Organizing and management of the entities</p>
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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.