cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16896265.v1
title: February 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>February, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.3886/e115490v3-100002
title: Replication code and data for "Is Uber a Complement or Substitute with Public Transit?"

description: How Uber affects public transit ridership is a relevant policy question facing cities worldwide. Theoretically, Uber’s effect on transit is ambiguous: while Uber is an alternative mode of travel, it can also increase the reach and flexibility of public transit’s fixed-route, fixed-schedule service. We estimate the effect of Uber on public transit ridership using a difference-in-differences design that exploits variation across U.S. metropolitan areas in both the intensity of Uber penetration and the timing of Uber entry. We find that Uber is a complement for the average transit agency, increasing ridership by five percent after two years. This average effect masks considerable heterogeneity, with Uber increasing ridership more in larger cities and for smaller transit agencies.
DOI: 10.25721/2n56-qe78
title: Bonheur à moin se malad'
DOI: 10.6084/m9.figshare.16880509
title: community assembly

description: All these data were based on two years sampling in mountain streams in China to explore the spatial patterns of tadpole community diversity and community assembly through functional and phylogenetic approaches.
DOI: 10.6084/m9.figshare.16880509.v2
title: community assembly

description: All these data were based on two years sampling in mountain streams in China to explore the spatial patterns of tadpole community diversity and community assembly through functional and phylogenetic approaches.
DOI: 10.6084/m9.figshare.16880509.v1
title: community assembly

description: All these data were based on two years sampling in mountain streams in China to explore the spatial patterns of tadpole community diversity and community assembly through functional and phylogenetic approaches.
DOI: 10.25721/6ypz-p147
title: Mamz'ell' là qu'était mariée à li
DOI: 10.6084/m9.figshare.16896268
title: April 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in April, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.15468/669dt7
title: A New Brontothere (Brontotheriidae, Perissodactyla, Mammalia) from the Eocene of the Ily Basin of Kazakstan and a Phylogeny of Asian ‘‘ Horned’ ’ Brontotheres

description: This dataset contains the digitized treatments in Plazi based on the original journal article MIHLBACHLER, MATTHEW C., LUCAS, SPENCER G., EMRY, ROBERT J., BAYSHASHOV, BOLAT (2004): A New Brontothere (Brontotheriidae, Perissodactyla, Mammalia) from the Eocene of the Ily Basin of Kazakstan and a Phylogeny of Asian ‘‘ Horned’ ’ Brontotheres. American Museum Novitates 3439 (1): 1-43, DOI: 10.1206/0003-0082(2004)439&lt;0001:ANBBPM&gt;2.0.CO;2, URL: http://www.bioone.org/perlserv/?request=get-abstract&doi=10.1206%2F0003-0082(2004)439%3C0001%3AANBBPM%3E2.0.CO%3B2
DOI: 10.25721/brky-cc45
title: Commentaires sur la chanson "Mamz'ell' là qu'était mariée à li", enregistrée sur la bande magnétique MUS1983.25.156
DOI: 10.6084/m9.figshare.16896274
title: August 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in August, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25721/p525-3d81
title: A Point'-a-Pitr' tu trouveras des casinos
DOI: 10.6084/m9.figshare.16896283
title: March 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in March, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25721/5k1s-gr02
title: Tout' maman y aimé pitit' a you
DOI: 10.6084/m9.figshare.16896295
title: December 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in December, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896295.v1
title: December 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in December, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896298
title: March 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>March, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896298.v1
title: March 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>March, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896301
title: October 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>October, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896301.v1
title: October 2020 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>October, 2020</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25721/ed9x-gm57
title: Maladi marié
DOI: 10.25721/tz9e-2826
title: Michaud veillait
DOI: 10.6084/m9.figshare.16896307.v1
title: November 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in November, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896307
title: November 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in November, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25721/pjqm-h738
title: Joseph mon cher fidèle
DOI: 10.5281/zenodo.5607613
title: Summary Statistics from "Genome-wide meta-analysis of phytosterols reveals five novel loci and a detrimental effect on coronary atherosclerosis"

description: Summary statistics of meta GWAS of phytosterols.
DOI: 10.5281/zenodo.5607612
title: Summary Statistics from "Genome-wide meta-analysis of phytosterols reveals five novel loci and a detrimental effect on coronary atherosclerosis"

description: Summary statistics of meta GWAS of phytosterols.
DOI: 10.5281/zenodo.5607528
title: Testing the Acoustic Localisation Positioning System-algorithm: Data sets

description: The data is from 3 separate experimental setups: Tracking a device of constant speed using the Audio1 (single processor) software (B.1); and tracking a faster device using the al-Qt (multi processor) software (B.2) The experiments were also recorded on video. (see Video folder). For the experiments in B.1 a visualisation of the data has been made with the help of a MATLAB script which also included. The dimensions of the room and loudspeaker spacings were identical for both set-ups, namely 3 x 2 meters, with the loudspeakers at the corners of the rectangle. the loudspeakers were situated on the floor, approximately level with the tracked devices. Setup C collects debug log examples of experiments with very short capture cycles with 2 mics and 2 loudspeakers running ALPS al-Qt. The source code for Audio is available from: https://github.com/spatmus/alps/tree/master/Audio1<br> The source code for al-Qt is available from: https://github.com/spatmus/alps/tree/master/al-Qt<br> A binary of al-Qt for macOS 11, can be found in the assets folder of the release https://github.com/spatmus/alps/releases
DOI: 10.5281/zenodo.5604237
title: Testing the Acoustic Localisation Positioning System-algorithm: Data sets

description: The data is from 3 separate experimental setups: Tracking a device of constant speed using the Audio1 (single processor) software (B.1); and tracking a faster device using the al-Qt (multi processor) software (B.2) The experiments were also recorded on video. (see Video folder). For the experiments in B.1 a visualisation of the data has been made with the help of a MATLAB script which also included. The dimensions of the room and loudspeaker spacings were identical for both set-ups, namely 3 x 2 meters, with the loudspeakers at the corners of the rectangle. the loudspeakers were situated on the floor, approximately level with the tracked devices. Setup C collects debug log examples of experiments with very short capture cycles with 2 mics and 2 loudspeakers running ALPS al-Qt. The source code for Audio is available from: https://github.com/spatmus/alps/tree/master/Audio1<br> The source code for al-Qt is available from: https://github.com/spatmus/alps/tree/master/al-Qt<br> A binary of al-Qt for macOS 11, can be found in the assets folder of the release https://github.com/spatmus/alps/releases
DOI: 10.6084/m9.figshare.16896310.v1
title: June 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in June, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896310
title: June 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in June, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25721/nzvv-ry79
title: Laisse-moi dormir bien doucement
DOI: 10.25721/91w2-z771
title: J'avais l'argent le jour de mon mariage
DOI: 10.6084/m9.figshare.16896313
title: October 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in October, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16896313.v1
title: October 2020 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in October, 2020 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25721/2yx5-z260
title: Maman i baill' un boutik
DOI: 10.3886/icpsr38204
title: Project on Human Development in Chicago Neighborhoods (PHDCN): Census Tract Crosswalk, 1994-2002
title: Archival Version

description: The Project on Human Development in Chicago Neighborhoods (PHDCN) is a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. The crosswalk file contains census tract to neighborhood cluster level data, enabling researchers to merge and aggregate additional crime and census data with the PHDCN data. Access to these data is restricted. Users must provide justification for their request to access the crosswalk file, as well as a description of any datasets they plan to link to the PHDCN data.
description: The purpose of this study is to enable researchers to merge and aggregate additional crime and census data with the PHDCN data.
description: Datasets: DS1: Project on Human Development in Chicago Neighborhoods (PHDCN): Census Tract Crosswalk, 1994-2002
description: Neighborhoods within the city limits of Chicago, Illinois.
description: record abstractsThe crosswalk file was created for use with the PHDCN data.For additional information on the Project on Human Development in Chicago Neighborhoods (PHDCN) Series, please visit the ICPSR website.
DOI: 10.3886/icpsr38204.v1
title: Project on Human Development in Chicago Neighborhoods (PHDCN): Census Tract Crosswalk, 1994-2002
title: Version 1

description: The Project on Human Development in Chicago Neighborhoods (PHDCN) is a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. The crosswalk file contains census tract to neighborhood cluster level data, enabling researchers to merge and aggregate additional crime and census data with the PHDCN data. Access to these data is restricted. Users must provide justification for their request to access the crosswalk file, as well as a description of any datasets they plan to link to the PHDCN data.
description: The purpose of this study is to enable researchers to merge and aggregate additional crime and census data with the PHDCN data.
description: Datasets: DS1: Project on Human Development in Chicago Neighborhoods (PHDCN): Census Tract Crosswalk, 1994-2002
description: Neighborhoods within the city limits of Chicago, Illinois.
description: record abstractsThe crosswalk file was created for use with the PHDCN data.For additional information on the Project on Human Development in Chicago Neighborhoods (PHDCN) Series, please visit the ICPSR website.
DOI: 10.5517/ccdc.csd.cc28brs5
title: CCDC 2095717: Experimental Crystal Structure Determination

description: Related Article: Sanliang Li, Qiaoyu Chen, Xiaoxiao Xie, Junfeng Yang, Junliang Zhang|2021|Org.Lett.|23|7824|doi:10.1021/acs.orglett.1c02842