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42 results for “protests”
German Local Protest News (GLPN) dataset
<p>This dataset contains excerpts from newspaper articles of four German local newspapers labelled for relevancy in protest event analysis.</p> <p>It can be used to train machine learning models to detect news articles containing mentions of protest event for political analysis.</p> <p>For using a model trained on this data, it is recommended to preprocess new data in similar ways like this dataset.</p> <p>To retrieve the excerpts, we the following steps have been taken:</p> <ol> <li>split articles into sentences</li> <li>tag sentences that match the following regular expression: protest_regex = re.compile(r'protest|versamm|demonstr|kundgebung|kampagne|soziale bewegung|hausbesetz|streik|unterschriftensammlung|hasskriminalität|unruhen|aufruhr|aufstand|boykott|riot|aktivis|widerstand|mobilisierung|petition|bürgerinitiative|bürgerbegehren|aufmarsch', re.UNICODE | re.IGNORECASE)</li> <li>tag sentences predecessing or succeeding tagged sentences</li> <li>concatenate all tagged sentences to the excerpt.</li> </ol> <p>See the following code on github for an example:</p> <ul> <li><a href="https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/utils.py">https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/utils.py</a> contains the function "reformat_df" that preprocesses a column named "text" of a given dataframe</li> <li><a href="https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/task-A_prediction.py">https://github.com/Leibniz-HBI/protest-event-analysis/blob/main/task-A_prediction.py</a> contains an example on how to apply a model on new data</li> </ul> <p>Experiments on this dataset are described in the following paper:</p> <p>> Wiedemann, G., Dollbaum, J. M., Haunss, S., Daphi, P., Meier, L. D. (2022): A Generalized Approach to Protest Event Detection in German Local News, In: Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022). Marseille, France. European Language Resources Association (ELRA).</p> <p>In case of questions on the dataset, please contact Gregor Wiedemann at the Leibniz-Institute for Media Research (HBI): g.wiedemann@leibniz-hbi.de</p> <p> </p>
Dataset underlying "Analyzing protest mobilization on Telegram: the case of 2019 Anti-Extradition Bill movement in Hong Kong"
<p>The data underlies the study titled "Analyzing protest mobilization on Telegram: the case of 2019 Anti-Extradition Bill movement in Hong Kong" (preprint available at https://osf.io/preprints/socarxiv/ueds4/)</p>
ScienceDex guides
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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.