cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1874720.08fu
title: SH1874720.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1874721.08fu
title: SH1874721.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1874722.08fu
title: SH1874722.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2851778.08fu
title: SH2851778.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2851779.08fu
title: SH2851779.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1874723.08fu
title: SH1874723.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.34740/kaggle/dsv/3934445
title: Bitcoin - Transactional Data
DOI: 10.25919/par1-yc14
title: Parkes observations for project P1148 semester 2022APRS_03

description: We propose observations with the ultra-wide-bandwidth, low frequency receiver (UWL) installed at the Parkes telescope to study a sample of pulsars known to exhibit mode changing phenomenon. The wide frequency range of the UWL receiver, along with the well-calibrated system, allowed us to obtain flux density measurements and polarization pulse profiles. The mode switch pattern in a wide frequency range will be obtained and can confirm whether this effect is dependent on observation frequency. The properties of polarization profiles of different modes in wide frequency will be studied. We will also obtain the spectrum of different modes, and compare spectral indexes of different modes for these mode changing pulsars. Our observations will allow us to constrain the physics origins of the mode changing phenomenon.
DOI: 10.6084/m9.figshare.20292504
title: virtual＿analysis.dta

description: To investigate how regional internet usage rate influenced the concerns and expected assistance for virtual care, we fielded an online census on the managers of PWDs care programs in 22 cities from June 24th to July 26th in 2021, covering the semi-lockdown period. According to the Ministry of Health and Welfare in Taiwan, the number of PWDs care programs is 107 in total in 2020, where 90 managers of the PWDs care program filled out the questionnaire.
DOI: 10.6084/m9.figshare.20292504.v1
title: virtual＿analysis.dta

description: To investigate how regional internet usage rate influenced the concerns and expected assistance for virtual care, we fielded an online census on the managers of PWDs care programs in 22 cities from June 24th to July 26th in 2021, covering the semi-lockdown period. According to the Ministry of Health and Welfare in Taiwan, the number of PWDs care programs is 107 in total in 2020, where 90 managers of the PWDs care program filled out the questionnaire.
DOI: 10.34740/kaggle/dsv/3934490
title: Simple Gray Captchas
DOI: 10.5517/ccdc.csd.cc26vx33
title: CCDC 2051645: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28ptqj
title: CCDC 2106348: Experimental Crystal Structure Determination

description: Related Article: Philipp Buday, Chizuru Kasahara, Elisabeth Hofmeister, Daniel Kowalczyk, Micheal K. Farh, Saskia Riediger, Martin Schulz, Maria Wächtler, Shunsuke Furukawa, Masaichi Saito, Dirk Ziegenbalg, Stefanie Gräfe, Peter Bäuerle, Stephan Kupfer, Benjamin Dietzek-Ivanšić, Wolfgang Weigand|2022|Angew.Chem.,Int.Ed.|61|e202202079|doi:10.1002/anie.202202079
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.4736816
title: Dataset of user and tweet ids of followers of news media accounts

description: ## Data All files are [xz compressed archives](https://en.wikipedia.org/wiki/XZ_Utils) and<br> can be unpacked with, e.g., `unxz user_ids.dat.xz`. Each file contains one id per<br> line, which are in some cases sorted ascendingly to improve compressibility. The ids of `tweet_ids.dat.xz` and `retweet_ids.dat.xz` correspond to tweet_ids of Twitter,<br> but for convenience we split categorized them into retweets and regular tweets. For each news outlet Twitter account we provide a file with all follower ids which<br> followed them at one point in the end of March 2021. These are suffled and the tweets<br> provided in the files above originate from the first few percent. * `AP.ids.xz` followers of @AP, belonging to the Associated Press news agency<br> * `CNN.ids.xz` followers of @CNN, belonging to the CNN TV news network<br> * `FoxNews.ids.xz` followers of @FoxNews, belonging to the Fox News TV news network<br> * `nytimes.ids.xz` followers of @nytimes, belonging to the New York Times newspaper<br> * `Reuters.ids.xz` followers of @Reuters, belonging to the Reuters news agency<br> * `TIME.ids.xz` followers of @TIME, belonging to the bi-weekly TIME magazine<br> * `washingtonpost.ids.xz` followers of @washingtonpost, belonging to the Washington Post newspaper<br> * `WSJ.ids.xz` followers of @WSJ, belonging to the Wall Street Journal newspaper
DOI: 10.5281/zenodo.4736815
title: Dataset of user and tweet ids of followers of news media accounts

description: ## Data All files are [xz compressed archives](https://en.wikipedia.org/wiki/XZ_Utils) and<br> can be unpacked with, e.g., `unxz user_ids.dat.xz`. Each file contains one id per<br> line, which are in some cases sorted ascendingly to improve compressibility. The ids of `tweet_ids.dat.xz` and `retweet_ids.dat.xz` correspond to tweet_ids of Twitter,<br> but for convenience we split categorized them into retweets and regular tweets. For each news outlet Twitter account we provide a file with all follower ids which<br> followed them at one point in the end of March 2021. These are suffled and the tweets<br> provided in the files above originate from the first few percent. * `AP.ids.xz` followers of @AP, belonging to the Associated Press news agency<br> * `CNN.ids.xz` followers of @CNN, belonging to the CNN TV news network<br> * `FoxNews.ids.xz` followers of @FoxNews, belonging to the Fox News TV news network<br> * `nytimes.ids.xz` followers of @nytimes, belonging to the New York Times newspaper<br> * `Reuters.ids.xz` followers of @Reuters, belonging to the Reuters news agency<br> * `TIME.ids.xz` followers of @TIME, belonging to the bi-weekly TIME magazine<br> * `washingtonpost.ids.xz` followers of @washingtonpost, belonging to the Washington Post newspaper<br> * `WSJ.ids.xz` followers of @WSJ, belonging to the Wall Street Journal newspaper
DOI: 10.5281/zenodo.4736651
title: Dataset of user and tweet ids of followers of @nytimes.

description: <br> ## Data Format There are three files containing the ids for different types of Twitter entities.<br> All files are [xz compressed archives](https://en.wikipedia.org/wiki/XZ_Utils) and<br> can be unpacked with, e.g., `unxz user_ids.dat.xz`. Each file contains one id per<br> line, which are sorted ascendingly to improve compressibility. * `user_ids.dat.xz`<br> * `tweet_ids.dat.xz`<br> * `retweet_ids.dat.xz` The ids of `user_ids.dat.xz` correspond to user_ids of Twitter.<br> The ids of `tweet_ids.dat.xz` and `retweet_ids.dat.xz` correspond to tweet_ids of Twitter,<br> but for convenience we split categorized them into retweets and regular tweets. Further there are two files mapping tweet ids to nyt ids, if they contain a link to an<br> article of the NYT. * `tweet_nyt_ids.dat.xz`<br> * `tweet_nyturl_ids.dat.xz` The file `tweet_nyt_ids.dat.xz` contains id from tweets tweeted by the @nytimes account and in the second column<br> the id of the linked article (or `None` if the tweet did not link to an article).<br> The file `tweet_nyturl_ids.dat.xz` contains tweet ids of tweets from @nytimes followers which<br> contain a link to an article of the NYT and in the second column the id of the article.
DOI: 10.5281/zenodo.4736650
title: Dataset of user and tweet ids of followers of @nytimes.

description: <br> ## Data Format There are three files containing the ids for different types of Twitter entities.<br> All files are [xz compressed archives](https://en.wikipedia.org/wiki/XZ_Utils) and<br> can be unpacked with, e.g., `unxz user_ids.dat.xz`. Each file contains one id per<br> line, which are sorted ascendingly to improve compressibility. * `user_ids.dat.xz`<br> * `tweet_ids.dat.xz`<br> * `retweet_ids.dat.xz` The ids of `user_ids.dat.xz` correspond to user_ids of Twitter.<br> The ids of `tweet_ids.dat.xz` and `retweet_ids.dat.xz` correspond to tweet_ids of Twitter,<br> but for convenience we split categorized them into retweets and regular tweets. Further there are two files mapping tweet ids to nyt ids, if they contain a link to an<br> article of the NYT. * `tweet_nyt_ids.dat.xz`<br> * `tweet_nyturl_ids.dat.xz` The file `tweet_nyt_ids.dat.xz` contains id from tweets tweeted by the @nytimes account and in the second column<br> the id of the linked article (or `None` if the tweet did not link to an article).<br> The file `tweet_nyturl_ids.dat.xz` contains tweet ids of tweets from @nytimes followers which<br> contain a link to an article of the NYT and in the second column the id of the article.
DOI: 10.6084/m9.figshare.20291937
title: 16S libraries of endophytic communities in olive trees subjected to salt stress

description: Paired-end sequences spanning the V3–V4 regions of the bacterial 16S rRNA. Bacterial metabarcoding of Olive tree samples subjected to salt stress. 4 cultivars (Frantoio, Leccino, Lecciana, and Oliana), three experimental conditions (Control, 100 mM and 200 mM of sodium chloride) and two-time points (T0, at the beginning of the experiment; T1, at the end of the experiment) were used. Metabarcoding data were then coupled with pigment and proline analyses to better describe the olive tree response to salinity stress. Lecciana; "Lc" Leccino; "Lcc" Oliana; "Og" Frantoio; "Fr" <br> The library acronym includes the cultivar (e. g., Lc), the time point (e. g., t1), the treatment (e. g., 200), and the replicate (e.g., 3).
DOI: 10.5281/zenodo.6823118
title: MD simulation trajectory of SDPE/DOG/CHOL bilayer and related files

description: Simulation trajectory pre-equiblirated SDPE/DOG/CHOL bilayer and related files from all-atom molecular dynamics simulations. Simulations have been performed with GROMACS-2018.7 with Lipid17 forcefield and TIP3P water model. The trajectory is 0-1000 ns, and we have disregarded the first 100 ns in our analysis. The system in the trajectory consists of 74 SDPE, 12 DOG, 42 CHOL and 6400 water molecules. Temperature 310 K, pressure 1 bar. Publication: https://doi.org/10.1016/j.bbamem.2022.183961
DOI: 10.5281/zenodo.6823117
title: MD simulation trajectory of SDPE/DOG/CHOL bilayer and related files

description: Simulation trajectory pre-equiblirated SDPE/DOG/CHOL bilayer and related files from all-atom molecular dynamics simulations. Simulations have been performed with GROMACS-2018.7 with Lipid17 forcefield and TIP3P water model. The trajectory is 0-1000 ns, and we have disregarded the first 100 ns in our analysis. The system in the trajectory consists of 74 SDPE, 12 DOG, 42 CHOL and 6400 water molecules. Temperature 310 K, pressure 1 bar. Publication: https://doi.org/10.1016/j.bbamem.2022.183961
DOI: 10.5517/ccdc.csd.cc2835l5
title: CCDC 2088426: Experimental Crystal Structure Determination

description: Related Article: Jinhui Xu, Jilei Cao, Xiangyang Wu, Han Wang, Xiaona Yang, Xinxin Tang, Ren Wei Toh, Rong Zhou, Edwin K. L. Yeow, Jie Wu|2021|J.Am.Chem.Soc.|143|13266|doi:10.1021/jacs.1c05994
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/ybtf-c618
title: Transaction data (Sender and Receiver) for Dapps of transportation

description: In this dataset, 57 DoT are seleted from three website: StateoftheDApps, DAppradar and DApp.com. The websites are search engine sites for variety of DApps. These selected DoT are all based on Ethereum, achieving applications on renting cars, finding chargers and sharing route. We download the data including basic information of these DoT and the transaction data from Etherscan. This dataset can be used to analyze the abnormal transactions of DoT.
DOI: 10.6084/m9.figshare.20054384
title: blackbelt.dta

description: This data includes home values and demographic data for a sample of homes in the Southern Black Belt.
DOI: 10.5519/qd.4x7ollwe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (347 records)
DOI: 10.5517/ccdc.csd.cc27v5cn
title: CCDC 2080731: Experimental Crystal Structure Determination

description: Related Article: Yanhong Liu, Xin Xu, Bing Yan|2022|Inorg.Chem.Front.|9|3627|doi:10.1039/D2QI00542E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29krc0
title: CCDC 2132222: Experimental Crystal Structure Determination

description: Related Article: Jianping Tang, Shenghua Zhou, Mengyi Huang, Zhenxin Liang, Shaodong Su, Yuehong Wen, Qi-Long Zhu, Xintao Wu|2022|Inorg.Chem.Front.|9|3436|doi:10.1039/D2QI00835A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4skv
title: CCDC 2149557: Experimental Crystal Structure Determination

description: Related Article: Enza Di Gregorio, Mariangela Boccalon, Chiara Furlan, Eliana Gianolio, Attila Bényei, Silvio Aime, Zsolt Baranyai, Giuseppe Ferrauto|2022|Inorg.Chem.Front.|9|3494|doi:10.1039/D2QI00596D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4slw
title: CCDC 2149558: Experimental Crystal Structure Determination

description: Related Article: Enza Di Gregorio, Mariangela Boccalon, Chiara Furlan, Eliana Gianolio, Attila Bényei, Silvio Aime, Zsolt Baranyai, Giuseppe Ferrauto|2022|Inorg.Chem.Front.|9|3494|doi:10.1039/D2QI00596D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc9qr
title: CSD 2155824: Experimental Crystal Structure Determination

description: Related Article: Qiang Wang, Wen Song, Yang Lan, Liling Cao, Ling Huang, Daojiang Gao, Jian Bi, Guohong Zou|2022|Inorg.Chem.Front.|9|3590|doi:10.1039/D2QI00625A
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26w3t1
title: CCDC 2051853: Experimental Crystal Structure Determination

description: Related Article: Jianping Tang, Shenghua Zhou, Mengyi Huang, Zhenxin Liang, Shaodong Su, Yuehong Wen, Qi-Long Zhu, Xintao Wu|2022|Inorg.Chem.Front.|9|3436|doi:10.1039/D2QI00835A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6823608
title: Erigeron philadelphicus zanfona 1

description: .
DOI: 10.5281/zenodo.6823607
title: Erigeron philadelphicus zanfona 1

description: .
DOI: 10.5281/zenodo.6823696
title: Eos semilarvata zanfona 1

description: .
DOI: 10.5281/zenodo.6823695
title: Eos semilarvata zanfona 1

description: .
DOI: 10.5281/zenodo.6655769
title: FABRY disease

description: Fabry disease occurs due to mutations in the α-galactosidase A (GLA) gene present in the X-chromosome, which results in α-galactosidase A (α-GAL A) enzyme deficiency, leading to the intracellular accumulation of glycosphingolipids like globotriaosylceramide (Gb3). It involves multiorgan dysfunction, particularly affecting kidneys, heart, and central and peripheral nervous system.