cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16897138.v1
title: July 2021 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>July, 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.16897141
title: June 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>June, 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.16897141.v1
title: June 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>June, 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.16897144.v1
title: September 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>September, 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.16897144
title: September 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>September, 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.16897147.v1
title: December 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>December, 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.16897147
title: December 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>December, 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.16897150
title: August 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>August, 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.16897150.v1
title: August 2020 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>August, 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.16897153.v1
title: August 2021 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>August, 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.16897153
title: August 2021 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>August, 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: 10.5281/zenodo.5608523
title: wblewis7/grouse_GA_data: Ruffed grouse survey data for Lewis et al. Abundance and distribution of ruffed grouse (Bonasa umbellus) at the southern periphery of the range: Implications for harvest management

description: Survey and detection data from spring roadside drumming surveys of ruffed grouse in North Georgia. Data for Lewis et al. Abundance and distribution of ruffed grouse (<em>Bonasa umbellus</em>) at the southern periphery of the range: Implications for harvest management.
DOI: 10.5281/zenodo.5608538
title: Incidencia Coronavirus Dataset (23/10/2021 a 27/10/2021)

description: Este dataset ha sido generado mediante Web Scraping de https://www.worldometers.info/coronavirus/ conteniendo información sobre los casos, las defunciones... de coronavirus a nivel mundial. Ejercicio realizado dentro de la asignatura M2.851 - Tipología y ciclo de vida de los datos de la UOC.
DOI: 10.5281/zenodo.5608537
title: Incidencia Coronavirus Dataset (23/10/2021 a 27/10/2021)

description: Este dataset ha sido generado mediante Web Scraping de https://www.worldometers.info/coronavirus/ conteniendo información sobre los casos, las defunciones... de coronavirus a nivel mundial. Ejercicio realizado dentro de la asignatura M2.851 - Tipología y ciclo de vida de los datos de la UOC.
DOI: 10.15468/8jdpkk
title: A new species of Galerina (Hymenogastraceae, Agaricales) from northeast China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Xiaoliang, Bau, Tolgor (2021): A new species of Galerina (Hymenogastraceae, Agaricales) from northeast China. Phytotaxa 524 (1): 27-36, DOI: 10.11646/phytotaxa.524.1.3
DOI: 10.6084/m9.figshare.8150801
title: 3 cases involving third party central fetal surveillance systems (from the review of all cases of adverse events related to fetal heart rate monitoring devices reported to Health Canada, October 2011 to August 6, 2018.

description: 3 cases involving third party central fetal surveillance systems (from the review of all cases of adverse events related to fetal heart rate monitoring devices reported to Health Canada, October 2011 to August 6, 2018.
DOI: 10.6084/m9.figshare.16897048
title: NDVI observations from a UAV platform for a winter wheat field near Sun River, Montana

description: NDVI observations from a UAV platform for a winter wheat field near Sun River, Montana as described in https://eartharxiv.org/repository/view/2670/
DOI: 10.25422/azu.data.12735992
title: Borderlands newspaper text 1897 - 1963

description: The data files are text of eight newspapers published in the border region of Arizona, USA and Sonora, Mexico between 1897 and 1963. The text is generated from scans of newspapers analyzed with OCR by the Library of Congress Chronicling America Project. Details on the digitization process can be found at https://chroniclingamerica.loc.gov/about/. Text from these newspapers is considered in the Public Domain (see https://chroniclingamerica.loc.gov/about/#rights_and_reproductions).<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu<br></i>
DOI: 10.25422/azu.data.12735992.v3
title: Borderlands newspaper text 1897 - 1963

description: The data files are text of eight newspapers published in the border region of Arizona, USA and Sonora, Mexico between 1897 and 1963. The text is generated from scans of newspapers analyzed with OCR by the Library of Congress Chronicling America Project. Details on the digitization process can be found at https://chroniclingamerica.loc.gov/about/. Text from these newspapers is considered in the Public Domain (see https://chroniclingamerica.loc.gov/about/#rights_and_reproductions).<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu<br></i>
DOI: 10.25422/azu.data.12735992.v2
title: Borderlands newspaper text 1897 - 1963

description: The data files are text of eight newspapers published in the border region of Arizona, USA and Sonora, Mexico between 1897 and 1963. The text is generated from scans of newspapers analyzed with OCR by the Library of Congress Chronicling America Project. Details on the digitization process can be found at https://chroniclingamerica.loc.gov/about/. Text from these newspapers is considered in the Public Domain (see https://chroniclingamerica.loc.gov/about/#rights_and_reproductions).<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu<br></i>
DOI: 10.5281/zenodo.5608554
title: Tina's assemblies, final submissions

description: .
DOI: 10.5281/zenodo.5608553
title: Tina's assemblies, final submissions

description: .
DOI: 10.15468/6r7j2k
title: A new endemic species of Vera-duthiea (Hyacinthaceae subfam. Urgineoideae) from Oman

description: This dataset contains the digitized treatments in Plazi based on the original journal article Patzelt, Annette, Pinter, Michael, Martínez-Azorín, Mario (2021): A new endemic species of Vera-duthiea (Hyacinthaceae subfam. Urgineoideae) from Oman. Phytotaxa 524 (1): 45-52, DOI: 10.11646/phytotaxa.524.1.5
DOI: 10.34740/kaggle/dsv/2753946
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.25810/meav-4g65
title: Algorithm Theoretical Basis Document - Post Launch update : Solar Stellar Irradiance Comparison Experiment (SOLSTICE)
DOI: 10.5281/zenodo.3539537
title: Input data and Supplementary Results for "Community-level signatures of ecological succession in natural bacterial communities"

description: <strong>README<br> ======</strong> <br> This file describes the content of the different files included in this repository to<br> reproduce results from [1] and some of its supplementary results. <strong>## Input files ##</strong> <strong>* 20151016_Functions_remainder.csv</strong> Functions measured in [2]. The relevant quantities used in [1] are labelled with "7", and include:<br> <br> * Community: Id of the sample<br> * Replicate<br> * Plate<br> * mgCO2.7: CO2 measured along 7 days of experiment<br> * CPM7: Cell counts at the end of the experiment<br> * pgRPC.7: CO2 per cell<br> * ATP7: ATP measured (nM)<br> * mG7: beta glucosidase (mM)<br> * mN7: beta chitinase (mM)<br> * mX7: xylosidase (mM)<br> * mP7: phosphatase (mM)<br> <br> <strong>* samples_metadata_time0.tsv</strong> * Samples: Id of the sample <br> * Part.dates: Date of sampling<br> * Part.GPS.PAM: Optimal sampling sites <br> * Part.SparCC.PAM.t0: Optimal partition using SparCC<br> * Part.SJD.PAM.t0: Optimal partition using Jensen-Shannon Divergence<br> * Part.Dir.t0: Optimal partition using Dirichlet mixtures<br> * Part.month: Month in which the community was sampled<br> <strong>* Dist_GPS-Haversine.dat</strong> Haversine (spatial) distances between samples <strong>* corMat-SparCC_20151016_OTU_remainder.clean.samples.txt</strong> Matrix of correlations between samples computed with SparCC<br> <br> <strong>* distMat_ShannonJensen_Samples_Time0.clean.dat</strong> Distance matrix computed with Jensen-Shannon divergence. <br> <strong>## Supplementary results ##</strong> <strong>* SEMmodels.zip</strong> Results for the Structural Equation Models analysed. The structure of the folders follows the one<br> available at the repository of the [project ](https://github.com/apascualgarcia/TreeHoles_descriptive).<br> <br> <strong>* TaxaSummaries.zip</strong> The file contains one folder for each community-class, with matrices in different formats (biom and txt) computing the relative abundances of the OTUs at different taxonomic levels (labelled L2 being the proxy for Phylum to L6, the proxy of species). These matrices can be visualized interactively opening with a web browser the files area_charts.html. <strong>#### References ####</strong> [1] Pascual-García, A., & Bell, T. (2019). Community-level signatures of ecological succession in natural bacterial communities. Nature Communications (In press) [2] Rivett, Damian W., and Thomas Bell. Abundance determines the functional role of bacterial phylotypes in complex communities." Nature microbiology 3.7 (2018): 767.
DOI: 10.5281/zenodo.3539536
title: Input data and Supplementary Results for "Community-level signatures of ecological succession in natural bacterial communities"

description: <strong>README<br> ======</strong> <br> This file describes the content of the different files included in this repository to<br> reproduce results from [1] and some of its supplementary results. <strong>## Input files ##</strong> <strong>* 20151016_Functions_remainder.csv</strong> Functions measured in [2]. The relevant quantities used in [1] are labelled with "7", and include:<br> <br> * Community: Id of the sample<br> * Replicate<br> * Plate<br> * mgCO2.7: CO2 measured along 7 days of experiment<br> * CPM7: Cell counts at the end of the experiment<br> * pgRPC.7: CO2 per cell<br> * ATP7: ATP measured (nM)<br> * mG7: beta glucosidase (mM)<br> * mN7: beta chitinase (mM)<br> * mX7: xylosidase (mM)<br> * mP7: phosphatase (mM)<br> <br> <strong>* samples_metadata_time0.tsv</strong> * Samples: Id of the sample <br> * Part.dates: Date of sampling<br> * Part.GPS.PAM: Optimal sampling sites <br> * Part.SparCC.PAM.t0: Optimal partition using SparCC<br> * Part.SJD.PAM.t0: Optimal partition using Jensen-Shannon Divergence<br> * Part.Dir.t0: Optimal partition using Dirichlet mixtures<br> * Part.month: Month in which the community was sampled<br> <strong>* Dist_GPS-Haversine.dat</strong> Haversine (spatial) distances between samples <strong>* corMat-SparCC_20151016_OTU_remainder.clean.samples.txt</strong> Matrix of correlations between samples computed with SparCC<br> <br> <strong>* distMat_ShannonJensen_Samples_Time0.clean.dat</strong> Distance matrix computed with Jensen-Shannon divergence. <br> <strong>## Supplementary results ##</strong> <strong>* SEMmodels.zip</strong> Results for the Structural Equation Models analysed. The structure of the folders follows the one<br> available at the repository of the [project ](https://github.com/apascualgarcia/TreeHoles_descriptive).<br> <br> <strong>* TaxaSummaries.zip</strong> The file contains one folder for each community-class, with matrices in different formats (biom and txt) computing the relative abundances of the OTUs at different taxonomic levels (labelled L2 being the proxy for Phylum to L6, the proxy of species). These matrices can be visualized interactively opening with a web browser the files area_charts.html. <strong>#### References ####</strong> [1] Pascual-García, A., & Bell, T. (2019). Community-level signatures of ecological succession in natural bacterial communities. Nature Communications (In press) [2] Rivett, Damian W., and Thomas Bell. Abundance determines the functional role of bacterial phylotypes in complex communities." Nature microbiology 3.7 (2018): 767.
DOI: 10.6084/m9.figshare.8150801.v1
title: 3 cases involving third party central fetal surveillance systems (from the review of all cases of adverse events related to fetal heart rate monitoring devices reported to Health Canada, October 2011 to August 6, 2018.

description: 3 cases involving third party central fetal surveillance systems (from the review of all cases of adverse events related to fetal heart rate monitoring devices reported to Health Canada, October 2011 to August 6, 2018.
DOI: 10.25502/rhj9-2228/d
title: Beyond “women’s traits”: Exploring how gender, social difference and household characteristics influence trait preferences

description: The Next Generation Cassava Breeding project (NextGen Cassava) seeks to modernize partner cassava breeding institutions in Africa and use cutting-edge tools for efficient delivery of improved varieties of cassava.