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235
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ShareScore release 0.9.0
Dataset results
235 results for “official”
Japan-Educated Officials in China's Wartime Central Administration (1944)
<p>This dataset is made up of two files:</p> <ol> <li>"CNKI-20231014003254589" is the raw extraction of bibliographical references from CNKI on the Chinese students who stuided in Japan before 1945. It consists in the main academic outputs on the topic, including journal article,s M.A. thesis, and doctoral dissertations.</li> <li>"CNKIjp2" is the pre-processed and cleaned file that was used for statistical analysis and topic modeling.</li> </ol> <p>The markdown script presents the core of the methodological framework for my study of Chinese historiography on the Japan-educated students in the late imperial and republican period. I developed this script as part of the paper titled "Japan-Educated Officials in China’s Wartime Central Administration (1944)". In this paper, I present a review of the literature on the Chinese students who went to Japan to study between 1896 and 1945. While the literature in English and Japanese is small and allwo for close reading, the literature in Chinese is massive. To explore this literature and identify research trends, I chose to apply topic modeling to the dataet of references extracted from CNKI (知網). The documentary basis consists in the abstracts of the academic outputs.</p>
The official dataset of the papper " Berries Pomace Valorization: From Waste to Potent Antioxidants and Emerging Skin Prebiotics"
<p>This is the official repository of the paper "Berries Pomace Valorization: From Waste to Potent Antioxidants and Emerging Skin Prebiotics" (https://doi.org/10.1080/15538362.2024.2322743)</p> <p>DISCLAIMER</p> <p>The repository contains experimental data and is published for the sole purpose of giving additional background details on the respective publication "Berries Pomace Valorization: From Waste to Potent Antioxidants and Emerging Skin Prebiotics" (https://doi.org/10.1080/15538362.2024.2322743).<strong> </strong>See the README.txt file for more details.</p>
Official logo of the H2020 Project In Silico World
<p>Official logo of the H2020 Project In Silico World</p> <p> </p>
Official GO FAIR Foundation icons for the Three-Point FAIRification Framework
<p>The official icons for the Three-Point FAIRification Framework (3PFF): Metadata for Machines Workshops, FAIR Implementation Profiles and FAIR Orchestration, created by the GO FAIR Foundation.</p>
Daily weather data averages for Germany aggregated over official weather stations
<p>Daily data averaged across Germany for the period of 2016-01-01 till 2021-06-27:</p> <p><strong>temperature_mean: </strong>mean daily temperature in degree Celsius averaged across all weather stations in Germany.</p> <p><strong>temperature_max:</strong> maximum daily temperature in degree Celsius averaged across all weather stations in Germany.</p> <p><strong>precipitation:</strong> daily precipitation sum in millimeter (equals liter per square meter) averaged across all weather stations in Germany.</p> <p><strong>sunshine: </strong>sunshine duration per day averaged across all weather stations in Germany.</p> <p> </p> <p> </p> <p>gemittelte Werte basierende auf Daten des Deutschen Wetterdiensts, Vermessungsverwaltungen der Länder und BKG (https://gdz.bkg.bund.de/)</p>
Aggregated number of officially recorded COVID-19 deaths in 2020 in Poland by county (powiat) with indication of sources
<p>This is a complimentary dataset for the article "Deaths during the first year of the COVID‑19 pandemic: insights from regional patterns in Germany and Poland" by Myck, Oczkowska, Garten, Krol, Brandt in BMC Public Health (DOI: 10.1186/s12889-022-14909-9).</p>
Official-Websites-of-the-Portuguese-Municipalities: v1.0.0
<p>This repository contains a list of all 308 Portuguese municipalities, with their respective district and website. The information presented here was based on the update of January 19, 2023, and comes from the website of the General Directorate of Local Authorities (DGAL), which is the central service of the direct administration of the State integrated into the Ministry of Territorial Cohesion of Portugal [1]. Data collection took place on January 26, 2023. We also carried out a manual review of all the website addresses on the list, where we identified and corrected some incorrect email addresses through a Google search of the corresponding municipality.</p>
Clip Official SUNERGY
<p>Want to know more about our continuation action? The SUNERGY initiative in 3 min!! Join us! Be involved in our ramp-up phase towards a large scale enterprise for the conversion and storage of renewable energy into fuels and chemicals.</p>
GREENER Project official video: InteGRated systems for Effective ENvironmEntal Remediation
<p>Find out more about the GREENER's goals and technologies applied, aiming to remediate a range of organic and inorganic pollutants of high concern, while producing useful end-products, such as bioelectricity and harmless metabolites.</p>
Data providers package for reporting Chemical Contaminants (official data reporting phase) SSD2
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (<a href="http://registerofquestions.efsa.europa.eu/roqFrontend/mandateLoader?mandate=M-2010-0374">M-2010-0374</a>) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.</p> <p>This data providers package provides the data collection configuration and supporting materials for reporting <strong>Chemical Contaminants in SSD2</strong>. These are to be used for the official data reporting phase.</p> <p>The package includes:</p> <p>CHECK advice on the values to be reported for the mandatory fields specified for this data collection.</p> <p>The Standard Sample Description Version 2 XSD schema definition for CONTAMINANTS reporting.</p> <p>The STX transformation file which automatically assigns sampEventId and sampAnId when this information is not provided.</p> <p>The general and CONTAMINANTS SSD2 specific business rules applied for the automatic validation of the submitted datasets.</p> <p>Excel Mapping tool to convert excel files after mapping into XML document.</p> <p>Guidance on how to use the Excel Mapping tool.</p> <p>Guidance on how to run the validation report after submitting data to the DCF.</p>
Data providers package for reporting Chemical Contaminants (official data reporting phase) SSD1
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (<a href="http://registerofquestions.efsa.europa.eu/roqFrontend/mandateLoader?mandate=M-2010-0374">M-2010-0374</a>) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.</p> <p>This data providers package provides the data collection configuration and supporting materials for reporting <strong>Chemical Contaminants in SSD1</strong>. These are to be used for the official data reporting phase.</p> <p>The package includes:</p> <p>The Standard Sample Description Version 2 XSD schema definition for CONTAMINANTS reporting.</p> <p>The general and CONTAMINANTS SSD1 specific business rules applied for the automatic validation of the submitted datasets.</p> <p>Excel Mapping tool to convert excel files after mapping into XML document.</p> <p>Please follow the instructions below for the correct use of the mapping tool to avoid compromising its functionalities:</p> <ol> <li>Download and save the MS Excel® Standard Sample Description file to your computer (do not open the file before saving and do not change the file name)</li> <li>Download and save the file MS Excel® Simplified Reporting Format (do not open the file before saving)</li> <li>Keep both Excel files in the same folder</li> <li>Open both Excel files and enable the macros</li> <li>Keep both files open in the same Excel instance when filling in the data</li> </ol> <p>Guidance on how to run the validation report after submitting data to the DCF.</p>
Data providers package for reporting monitoring results for veterinary medicinal product residues (official data reporting phase)
<p>This data providers package provides the data collection configuration and supporting materials for reporting veterinary medicinal product residues (VMPR) results according to Council Directive 96/23/EC of 29 April 1996 on measures to monitor certain substances and residues thereof in live animals and animal products and repealing Directives 85/358/EEC and 86/469/EEC and Decisions 89/187/EEC and 91/664/EEC. These are to be used for the official data reporting phase.</p> <p>The package includes:</p> <p>Advice on the values to be reported for the mandatory fields specified for this data collection.</p> <p>The Standard Sample Description Version 2 XML schema definition for VMPR reporting.</p> <p>The STX transformation file which automatically assigns sampEventId and sampAnId when this information is not provided.</p> <p>The general and VMPR specific business rules applied for the automatic validation of the submitted datasets.</p> <p>The VMPR specific terminologies to be used for reporting analytical methods and the residues included in the scope of the analytical methods.</p> <p>An example of a reportable dataset following the Quick Start Reporting guide.</p> <p>Excel Mapping tool to convert excel files after mapping into XML document.</p> <p>Guidance on how to use the Excel Mapping tool.</p> <p>Guidance on how to run the validation report after submitting data to the DCF.</p>
The official dataset of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient"
<p>This is the official repository of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).</p> <p>DISCLAIMER</p> <p>The repository contains experimental data and is published for the sole purpose of giving additional background details on the respective publication, "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).<strong> </strong>See the README.txt file for more details.</p>
Hasya Katta Official Planet Marathi Meme 1
<p><strong>Hasya</strong> <strong>Katta</strong> <strong>Official</strong> <strong>Planet</strong> <strong>Marathi</strong> <strong>OTT</strong> <strong>Meme</strong> <strong>1</strong></p> <p>A comparison meme between US & India of OTT by Smit Shetye @ Hasya Katta Official.</p> <p> </p> <p><strong>Hasya</strong> <strong>Katta</strong> <strong>Official</strong></p> <p><strong>Smit</strong> <strong>Shetye</strong></p> <p>https://hasyakattaofficial.github.io/</p> <p>https://smitshetye.github.io/</p>
Official video of the MASTRO project focusing on Intelligent bulk MAterials for Smart TRanspOrt industries
<p>Take a look at our video presenting the concept and objectives of the MASTRO project!</p> <p> For more information visit our website: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbTc3WEE1aEdrUHc5ek1HRmEwSWdWcXZrcTlRUXxBQ3Jtc0ttZzJqYVRWTjZqbFZvTnRuNkFKdDhXNlc0T3hDMVQ2VFZnQjNucVZHVm8xZWtWa21iNWRldmxqSFhNYWphZDRVdndsTVhFTmVxR3dzXzhRbGZTMjdsRmF2NzdwakJOLXJfSlV4dVlVbHlHU3JITzB6TQ&q=https%3A%2F%2Fwww.mastro-h2020.eu%2F">https://www.mastro-h2020.eu/</a> </p>
An official and his wife
An official and his wife, findspot unknown, painted limestone, 19th - 20th Dynasty, c. 1300-1080 B.C., Nye Carlsberg Glyptotek (Copenhagen, Denmark). Made with Memento Beta. Source: Objaverse 1.0 / Sketchfab
Official photo of the participants at the meeting "Quasars at all cosmic epochs"
<p>Official photo of the participants at the meeting "Quasars at all cosmic epochs" taken on April 5, 2017 in the Agora of the meeting venue, the Centro San Gaetano. </p>
« Lend your Money, Lose your Friend? » - Chinese Official Lending and Bilateral Political Alignment: The Case of Africa
<p>This database provides a set of 45 variables related to UNGA voting affinity vis-à-vis China, official lending, and other bilateral economic and political indicators for China and 43 African countries over the period 2000-2020. The indicators are grouped into four categories: voting data, loan and debt, economic indicators, and political indicators. </p><p>This dataset was compiled in order to conduct research and econometric work for a journal article entitled: </p><p><strong>« Lend your Money, Lose your Friend? » - Chinese Official Lending and Bilateral Political Alignment: The Case of Africa</strong></p><p>, written by Clément Durif, Junior Resarch Fellow at the Asia Centre <a href="mailto:clement.durif@sciencespo.fr">clement.durif@sciencespo.fr</a><br><br>The status of this journal article is pending submittal and acceptation from a Journal Publication</p>
PHYAFB: A new database of the analysis of the physiological needs in amateur female basketball during official matches
<p>The Physiological Analysis of Female Basketball players (PHYAFB) database is a valuable resource for studying the physiological demands placed on female amateur basketball players during official games. This database includes heart rate data from ten female players aged between 18 and 26 years, which were collected during ten high-stress matches played during a crucial relegation phase. In total, almost 350,000 heart rate samples have been reported. The data is stored in CSV format, facilitating easy access and analysis, and the database comes with Python source code to support initial examination.</p><p>The primary aim of the PHYAFB database is to provide a useful reference for other teams facing similar situations. Furthermore, the database represents a unique and valuable resource for sports scientists, coaches, and trainers seeking to comprehend the physiological demands of female basketball players during official competitions. Through the analysis of heart rate data, coaches and trainers can identify the intensity and duration of physical activity during games, enabling the development of more effective training programs. Additionally, the database can be used to compare the physiological demands placed on male and female basketball players or to investigate the impact of different game strategies on player performance.</p>
The official dataset of the paper "Sunflower Meal Valorization through Enzyme-Aided Fractionation and the Production of Emerging Prebiotics"
<p>This is the official repository of the paper "Sunflower Meal Valorization through Enzyme-Aided Fractionation and the Production of Emerging Prebiotics" (<a href="https://doi.org/10.3390/foods13162506">https://doi.org/10.3390/foods13162506</a>)</p> <p>DISCLAIMER</p> <p>The repository contains experimental data and is published for the sole purpose of giving additional background details on the respective publication "Sunflower Meal Valorization through Enzyme-Aided Fractionation and the Production of Emerging Prebiotics" ((<a href="https://doi.org/10.3390/foods13162506">https://doi.org/10.3390/foods13162506</a>).<strong> </strong>See the README.txt file for more details.</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.