cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4064833
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4192836
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4385806
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4412213
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4487086
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4572530
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4659707
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4739896
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.4922674
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.5051941
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.5162743
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: contains Corona Pandemic
DOI: 10.5281/zenodo.5351474
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
DOI: 10.5281/zenodo.5542940
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: Contains German Federal Elections (#BTW21)
DOI: 10.5281/zenodo.5646993
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
description: Contains German Federal Elections (#BTW21)
DOI: 10.5281/zenodo.5760295
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
DOI: 10.5281/zenodo.5830590
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files. Each bunch of records contains approximately 150k recorded tweets/accounts (size: ~ 18MB).
DOI: 10.5281/zenodo.5985935
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files.
DOI: 10.5281/zenodo.6344869
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files.
DOI: 10.5281/zenodo.6421331
title: Monthly Samples of German Tweets

description: This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record (almost) all German tweets (in German it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be useful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in April 2019) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files.