This data set describes the pre and post test scores of students who took part in a classroom game to improve knowledge of APA style citation.

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.

This is a repository for codes and datasets for the open-access paper in Linguistik Indonesia, the flagship journal for the Linguistic Society of Indonesia (Masyarakat Linguistik Indonesia [MLI]) (cf. the link in the references below).To cite the paper (in APA 6th style):Rajeg, G. P. W., Denistia, K., & Rajeg, I. M. (2018). Working with a linguistic corpus using R: An introductory note with Indonesian negating construction. Linguistik Indonesia, 36(1), 1–36. doi: 10.26499/li.v36i1.71To cite this repository:Click on the Cite (dark-pink button on the top-left) and select the citation style through the dropdown button (default style is Datacite option (right-hand side)This repository consists of the following files:1. Source R Markdown Notebook (.Rmd file) used to write the paper and containing the R codes to generate the analyses in the paper.2. Tutorial to download the Leipzig Corpus file used in the paper. It is freely available on the Leipzig Corpora Collection Download page.3. Accompanying datasets as images and .rds format so that all code-chunks in the R Markdown file can be run.4. BibLaTeX and .csl files for the referencing and bibliography (with APA 6th style). 5. A snippet of the R session info after running all codes in the R Markdown file.6. RStudio project file (.Rproj). Double click on this file to open an RStudio session associated with the content of this repository. See here and here for details on Project-based workflow in RStudio.7. A .docx template file following the basic stylesheet for Linguistik IndonesiaPut all these files in the same folder (including the downloaded Leipzig corpus file)!To render the R Markdown into MS Word document, we use the bookdown R package (Xie, 2018). Make sure this package is installed in R.Yihui Xie (2018). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.6.

These are audio recordings taken by an Eclipse Soundscapes (ES) Data Collector during the week of the April 8, 2024 total solar eclipse.

Data Site location information:

Latitude: 36.97123

Longitude: -90.2074

Type of Eclipse: Total Solar Eclipse

Eclipse %: 100%

WAV files Time & Date Settings: Set with the automated AudioMoth time chime

Included Data:

Audio files in WAV format with the date and time in UTC within the file name: YYYYMMDD_HHMMSS meaning YearMonthDay_HourMinuteSecondFor example, 20240411_141600.WAV means that this audio file starts on April 11, 2024 at 14:16:00 Coordinated Universal Time (UTC)

CONFIG Text file: Includes AudioMoth device setting information, such as sample rate in Hertz (Hz), gain, firmware, etc.

Eclipse Information for this location:

Eclipse Date: 4/8/2024

Eclipse Start Time (UTC): 17:40:14

Totality Start Time (UTC): 18:56:46

Eclipse Maximum when the most possible amount of the Sun in blocked: 18:58:51

Totality End Time (UTC): 19:00:56

Eclipse End Time (UTC): 20:16:13

Audio Data Collection During Eclipse Week

ES Data Collectors used AudioMoth devices to record audio data, known as soundscapes, over a 5-day period during the eclipse week: 2 days before the eclipse, the day of the eclipse, and 2 days after. The complete raw audio data collected by the Data Collector at the location mentioned above is provided here. This data may or may not cover the entire requested timeframe due to factors such as availability, technical issues, or other unforeseen circumstances.

ES ID# Information:

Each AudioMoth recording device was assigned a unique Eclipse Soundscapes Identification Number (ES ID#). This identifier connects the audio data, submitted via a MicroSD card, with the latitude and longitude information provided by the data collector through an online form. The ES team used the ES ID# to link the audio data with its corresponding location information and then uploaded this raw audio data and location details to Zenodo. This process ensures the anonymity of the ES Data Collectors while allowing them to easily search for and access their audio data on Zenodo.

TimeStamp Information:

The ES team and the Data Collectors took care to set the date and time on the AudioMoth recording devices using an AudioMoth time chime before deployment, ensuring that the recordings would have an automatic timestamp. However, participants also manually noted the date and start time as a backup in case the time chime setup failed. The notes above indicate whether the WAV audio files for this site were timestamped manually or with the automated AudioMoth time chime.

Latitude & Longitude Information:

The latitude and longitude for each site was taken manually by data collectors and submitted to the ES team, either via a web form or on paper. It is shared in Decimal Degrees format.

General Project Information:

The Eclipse Soundscapes Project is a NASA Volunteer Science project funded by NASA Science Activation that is studying how eclipses affect life on Earth during the October 14, 2023 annular solar eclipse and the April 8, 2024 total solar eclipse. Eclipse Soundscapes revisits an eclipse study from almost 100 years ago that showed that animals and insects are affected by solar eclipses! Like this study from 100 years ago, ES asked for the public’s help. ES uses modern technology to continue to study how solar eclipses affect life on Earth! You can learn more at www.EclipseSoundscapes.org.

Eclipse Soundscapes is an enterprise of ARISA Lab, LLC and is supported by NASA award No. 80NSSC21M0008.

Eclipse Data Version Definitions

{1st digit = year, 2nd digit = Eclipse type (1=Total Solar Eclipse, 9=Annular Solar Eclipse, 0=Partial Solar Eclipse), 3rd digit is unused and in place for future use}

2023.9.0 = Week of October 14, 2023 Annular Eclipse Audio Data, Path of Annularity (Annular Eclipse)

2023.0.0 = Week of October 14, 2023 Annular Eclipse Audio Data, OFF the Path of Annularity (Partial Eclipse)

2024.1.0 = Week of April 8, 2024 Total Solar Eclipse Audio Data, Path of Totality (Total Solar Eclipse)

2024.0.0 = Week of April 8, 2024 Total Solar Eclipse Audio Data , OFF the Path of Totality (Partial Solar Eclipse)

*Please note that this dataset’s version number is listed below.

Individual Site Citation: APA Citation (7th edition)

ARISA Lab, L.L.C., Winter, H., Severino, M., & Volunteer Scientist. (2025). 2024 solar eclipse soundscapes audio data [Audio dataset, ES ID# 937]. Zenodo.{Insert DOI}. Collected by volunteer scientists as part of the Eclipse Soundscapes Project. This project is supported by NASA award No. 80NSSC21M0008.

Eclipse Community Citation

ARISA Lab, L.L.C., Winter, H., Severino, M., & Volunteer Scientists. 2023 and 2024 solar eclipse soundscapes audio data [Collection of audio datasets]. Eclipse Soundscapes Community, Zenodo. https://zenodo.org/communities/eclipsesoundscapes/. Collected by volunteer scientists as part of the Eclipse Soundscapes Project. This project is supported by NASA award No. 80NSSC21M0008.

Context

Labeled datasets are useful in machine learning research.

Content

This public dataset contains approximately 9 million URLs and metadata for images that have been annotated with labels spanning more than 6,000 categories.

Tables: 1) annotations_bbox 2) dict 3) images 4) labels

Update Frequency: Quarterly

Querying BigQuery Tables

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:open_images

https://cloud.google.com/bigquery/public-data/openimages

APA-style citation: Google Research (2016). The Open Images dataset [Image urls and labels]. Available from github: https://github.com/openimages/dataset.

Use: The annotations are licensed by Google Inc. under CC BY 4.0 license.

The images referenced in the dataset are listed as having a CC BY 2.0 license. Note: while we tried to identify images that are licensed under a Creative Commons Attribution license, we make no representations or warranties regarding the license status of each image and you should verify the license for each image yourself.

Banner Photo by Mattias Diesel from Unsplash.

Inspiration

Which labels are in the dataset? Which labels have "bus" in their display names? How many images of a trolleybus are in the dataset? What are some landing pages of images with a trolleybus? Which images with cherries are in the training set?

Second evaluation of a set 10 clones across several locations Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Dataset multi-scale experiments on timber connections

Overview of the contents of the dataset

Types of tests

This dataset contains results of:

1. density and moisture content tests on LVL samples (DIN 52183:1977);
2. tensile on steel dowels (DIN 6892-1:2017-02);
3. bending tests on steel dowels (EN 409:2009);
4. friction tests between steel dowels and timber;
5. embedment tests (EN 383:2007);
6. experiments on single-fastener dowelled steel-to-timber connections with one or two slotted-in steel plates (EN 26891:1991); and
7. experiments on multiple-fastener dowelled steel-to-timber connections with one or two slotted-in steel plates, in tension, with and without eccentricity of the applied axial load (EN 26891:1991).

Types of results

The results in the dataset comprise:

1. density and moisture content of the LVL members;
2. strain-stress curves from tensile tests on the steel dowels;
3. moment-rotation curves from bending tests on the steel dowels;
4. displacement-friction coefficient curves from friction tests between steel dowels and timber;
5. displacement-force-embedment stress curves from embedment tests;
6. displacement-force curves from compression and tension tests on single-fastener connections;
7. displacement-force curves from tension tests on multiple-fastener connections;
8. surface strains from digital image correlation (DIC) analyses.

The results are stored in separate folders, each containing a "0_README.txt" with specific info about the corresponding data.

Materials

The experiments included in the dataset were performed using:

1. timber members made of spruce laminated veneer lumber (LVL) without cross layers; and
2. dowels made from bright mild steel bars with circular cross-section, with a diameter of 10 mm, of grades S235 and S355.

License, warranty disclaimer, and limitation of liability

CC BY 4.0 Deed Attribution 4.0 International

This work is licensed under a Creative Commons Attribution 4.0 International license.

Warranty disclaimer

The licensed work is provided on an "as is" basis. The licensor provides no warranties as to the function or use of the licensed materials, whether express, implied, or statutory, including, without limitation, any implied warranties of merchantability or fitness for particular purpose. The entire risk as to the quality and performance of the licensed work is with licensee. The licensor does not warrant that the data contained in the licensed materials will meet licensee's requirements or that the licensed materials are error free.

Limitation of liability

In no event shall licensor be liable for indirect, incidental, special, or consequential damages, including loss of use, loss of profits or interruption of business, however caused or on any theory of liability.

Citing this work

As per the provisions of section 3.a.1.A.i of the CC BY 4.0 Deed Attribution 4.0 International license, when attributing this work, the following elements shall be reproduced in the citation:

• authors/contributors (i.e. "Pedro Palma" and "Jonas Wydler");
• year (i.e. "2024" or any later revised or updated version of the dataset);
• title (i.e. "Dataset with results of multi-scale experiments on timber connections");
• publisher (i.e. "Zenodo"); and the
• URL with the DOI (i.e. "https://doi.org/10.5281/zenodo.10602292")

An example citation of the dataset (based on the APA Citation Format) is:

• Palma, P., & Wydler, J. (2024). Dataset with results of multi-scale experiments on timber connections [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10602292.

Evaluation of a set of yam clones for non fertilization application for yield evaluation Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Second evaluation of a set 10 clones across several locations Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Second evaluation of a set 10 clones across several locations Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

Assessment of Varieties of Cassava for high yield, disease resistance and high total carotenoid retention in an Advanced Yield Trial (11 clones) set A in Ikenne 2016/2017 Breeding Season from 2015 (ikenne uyt19, ayt18 and ayt16htc) IK. Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian