The datacitation extension for CKAN aims to facilitate proper data citation practices within the CKAN data catalog ecosystem. By providing tools and features to create and manage citations for datasets, the extension promotes discoverability and acknowledgment of data sources, enhancing the reproducibility and transparency of research and analysis based on these datasets. The available information is limited, but based on the name, the extension likely focuses on generating, displaying, and potentially exporting citation information. Key Features (Assumed based on Extension Name): * Dataset Citation Generation: Likely provides functionality to automatically generate citation strings for datasets based on metadata fields, adhering to common citation formats (e.g., APA, MLA, Chicago). * Citation Metadata Management: Potentially offers tools to manage citation-related metadata within datasets, such as author names, publication dates, and version numbers, which are essential elements for creating accurate citations. * Citation Display on Dataset Pages: It's reasonable to expect that the extension displays the generated citation information prominently on the dataset's display page, facilitating easy access for users. * Citation Export Options: May provide options to export citations in various formats (e.g., BibTeX, RIS) to integrate with reference management software popular among researchers. * Citation Style Customization: Possibly provides configuration options to customize the citation style used for generation, accommodating different disciplinary requirements. Use Cases (Inferred): 1. Research Data Repositories: Data repositories can utilize datacitation to ensure that researchers cite datasets correctly, which is crucial for tracking the impact of data and recognizing the contributions of data creators. 2. Government Data Portals: Government agencies can implement the extension to promote the proper use and attribution of open government datasets, fostering transparency and accountability. Technical Integration: Due to limited information, the integration details are speculative. However, it can be assumed that the datacitation extension likely integrates with CKAN by: * Adding a new plugin or module to CKAN that handles citation generation and display. * Extending the CKAN dataset schema to include citation-related metadata fields. * Potentially providing API endpoints for programmatic access to citation information. Benefits & Impact: The anticipated benefits of the datacitation extension include: * Improved data discoverability and reusability through proper citation practices. * Enhanced research reproducibility and transparency by ensuring that data sources are properly acknowledged. * Increased recognition of data creators and contributors. * Simplified citation management for users of CKAN-based data catalogs. Disclaimer: The above information is largely based on assumptions derived from the extension's name and common data citation practices. The actual features and capabilities of the datacitation extension may vary due to the unavailability of a README file.

MLA15 is the hashtag which corresponded to the 2015 Modern Language Association Annual Convention. The Convention was held in Vancouver from Thursday 8 to Sunday 11 January 2015.

This dataset is a .xlsx file including data from Tweets publicly published with #mla15 as harvested by Ernesto Priego (City University London) and Chris Zarate (MLA). This dataset includes Tweets posted during the actual convention with #mla15: the set starts with a Tweet from Thursday 08/01/2015 00:02:53 Pacific Time and ends with a Tweet from Sunday 11/01/2015 23:59:58 Pacific Time. The total number of Tweets in this dataset sums 23,609 Tweets. Only Tweets from users with at least two followers were collected. A combination of Twitter Archiving Google Spreadsheets (Martin Hawksey's TAGS 6.0; available at https://tags.hawksey.info/ ) was used to harvest this collection. OpenRefine (http://openrefine.org/) was used for deduplicating the data. Please note that both research and experience show that the Twitter search API isn't 100% reliable. Large tweet volumes affect the search collection process. The API might "over-represent the more central users", not offering "an accurate picture of peripheral activity" (González-Bailón, Sandra, et al. 2012). It is therefore not guaranteed this file contains each and every Tweet tagged with the archived hashtag during the indicated period, and is shared for comparative and indicative educational and research purposes only. Please note the data in this file is likely to require further refining and even deduplication. The data is shared as is. This dataset is shared to encourage open research into scholarly activity on Twitter. If you use or refer to this data in any way please cite and link back using the citation information above.

For the #MLA14 datasets, please go toPriego, Ernesto; Zarate, Chris (2014): #MLA14 Twitter Archive, 9-12 January 2014. figshare.http://dx.doi.org/10.6084/m9.figshare.924801

NB. The previous version of this dataset accidentally contained a typo in the title that has been corrected. Please use the most recent version.

This data study contains farm trial data conducted on wheat. Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

https://lh3.googleusercontent.com/WQLJZbrcPRbPpvcOxYxGm_NPkiuAtKnSiqQag83G9Lf-23MGYNZelcTvzCewYPuk3MjHsQuCArJYQAK3F63mMuXgh_32ZGyAjn6yKZ0fEDIdxfmDvE_YZ0vA2Yea82kXH1FZFxn2dg=w2400" alt="">

DAY 1846 (January 1st, 2018 - January 20th, 2023)

This is a dataset that tracks both non-violent and violent conflicts in Brazil since 2018. The January 8th invasion of Brazil's National Congress by Jair Bolsonaro supporters served as inspiration for this dataset.

All data are official figures from the Armed Conflict Location & Event Data Project (ACLED) that have been compiled and structured by myself. The latest snapshot used from ACLED's Latin America & the Caribbean dataset was its January 20th, 2023 update and was last accessed on January 28th, 2023. From the regional dataset, conflict data from countries outside of Brazil were removed, along with ID-related variables provided by ACLED that offered minimal potential for statistical analysis.

Data Sources

The primary data source used was the Armed Conflict Location & Event Data Project (ACLED), an organization that curates event data specifically designed for disaggregated conflict analysis and crisis mapping. ACLED has meticulously compiled conflict reports from the local, regional, national, and international level to ensure its quantity and quality.

1. ACLED's Latin America & the Caribbean Regional Dataset - Updated weekly, the regional dataset for Latin America & the Caribbean provided the conflict data for Brazil. The original dataset had to be cleaned thoroughly due to the vast number of ID-related variables and null values.
2. ACLED's Codebook (January 2021) - Cross-referencing with ACLED's Codebook clarified what events qualified as "conflicts" and the various functionalities that the data could provide.
3. ACLED's Data Columns (April 2019) - Unknown variable names from the ACLED's original Latin America & the Caribbean dataset were defined in this report.

Statistics Being Tracked

• EVENT_DATE: The day, month and year on which a conflict event took place.
• EVENT_TYPE: The type of conflict.
• SUB_EVENT_TYPE: The type of sub-conflict.
• ACTOR1: The named actor in the conflict.
• ACTOR2: The named actor associated with or identifying ACTOR 1.
• COUNTRY: The country in which the conflict took place (Brazil).
• LOCATION: The specific location in which the conflict took place.
• LATITUDE: The latitude of the location.
• LONGITUDE: The longitude of the location.
• SOURCE_SCALE: The scale (local, regional, national, international) of the source.
• NOTES: A short description of the conflict.
• FATALITIES: The number of reported fatalities that occurred during the conflict.

Dataset History

2023-01-28 - Dataset is created (1854 days after temporal coverage start date).

GitHub Repository - The same data but on GitHub.

Code Starter

Link to Notebook

Acknowledgements

Thank you once again to ACLED for enabling access keys to the necessary data! Make sure to check out the Armed Conflict Location & Event Data Project (ACLED) at www.acleddata.com. MLA Citation: “Curated Data For Latin America & the Caribbean (20 January 2023).” ACLED, 10 Jan. 2023, https://acleddata.com/curated-data-files/#regional.

latin-vulgate

For machine learning translation of English-Latin and Latin-English — the complete Latin Vulgate Bible from the 4th Century AD and the complete English Douay-Rheims Bible from 1582.

  Citation

If you use this data set, please support me by citing the repository. See APA Style. APA Citation: Flor, Nick. (2023). Latin Vulgate. GitHub. https://huggingface.co/datasets/professorf/latin-vulgate MLA Citation: Flor, Nick. Latin Vulgate. 2023, GitHub… See the full description on the dataset page: https://huggingface.co/datasets/professorf/latin-vulgate.