cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1412779.08fu
title: SH1412779.08FU

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/sh1412780.08fu
title: SH1412780.08FU

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/sh1412781.08fu
title: SH1412781.08FU

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/sh1412782.08fu
title: SH1412782.08FU

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/sh1412783.08fu
title: SH1412783.08FU

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: 10.5517/ccdc.csd.cc1nlvkn
title: CCDC 1537462: Experimental Crystal Structure Determination

description: Related Article: Ruonan Ning, Jie Zhao, Li Chen, Hongyan Mu, Zhongxian Chen, Kai Yang, Xing Xu, Dilinaer Litifu, Jianping Zuo, Shijun He, Min Jiang, Weimin Zhao|2024|Bioorg.Chem.|145|107246|doi:10.1016/j.bioorg.2024.107246
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.cc2hhh6q
title: CCDC 2308793: Experimental Crystal Structure Determination

description: Related Article: Andrea García-Hernán, Gabriela Brito-Santos, Elena de la Rubia, Fernando Aguilar-Galindo, Oscar Castillo, Ginés Lifante-Pedrola, Joaquín Sanchiz, Ricardo Guerrero-Lemus, Pilar Amo-Ochoa|2024|Inorg.Chem.|63|4646|doi:10.1021/acs.inorgchem.3c04232
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.cc2hjw64
title: CCDC 2310126: Experimental Crystal Structure Determination

description: Related Article: Elie Benchimol, Irene Regeni, Bo Zhang, Michele Kabiri, Julian J. Holstein, Guido H. Clever|2024|J.Am.Chem.Soc.|146|6905|doi:10.1021/jacs.3c14168
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.cc2hjw75
title: CCDC 2310127: Experimental Crystal Structure Determination

description: Related Article: Elie Benchimol, Irene Regeni, Bo Zhang, Michele Kabiri, Julian J. Holstein, Guido H. Clever|2024|J.Am.Chem.Soc.|146|6905|doi:10.1021/jacs.3c14168
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.cc2hjw86
title: CCDC 2310128: Experimental Crystal Structure Determination

description: Related Article: Elie Benchimol, Irene Regeni, Bo Zhang, Michele Kabiri, Julian J. Holstein, Guido H. Clever|2024|J.Am.Chem.Soc.|146|6905|doi:10.1021/jacs.3c14168
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.cc2hm89q
title: CCDC 2312423: Experimental Crystal Structure Determination

description: Related Article: Nagaraju Ponugoti, Sudhakar Maddala, Parthasarathy Venkatakrishnan|2024|J.Org.Chem.|89|4185|doi:10.1021/acs.joc.3c02050
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.cc2hxncg
title: CCDC 2321446: Experimental Crystal Structure Determination

description: Related Article: Henrique V.P. Hollauer, Gabriel S. de Araújo, Guilherme P. Guedes, Henrique C.S. Junior, Sonia Letichevsky, Luis Ghivelder, Stéphane Soriano, Odivaldo Cambraia, Lívia B.L. Escobar|2024|J.Mol.Struct.|1306|137811|doi:10.1016/j.molstruc.2024.137811
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.cc2hxndh
title: CCDC 2321447: Experimental Crystal Structure Determination

description: Related Article: Henrique V.P. Hollauer, Gabriel S. de Araújo, Guilherme P. Guedes, Henrique C.S. Junior, Sonia Letichevsky, Luis Ghivelder, Stéphane Soriano, Odivaldo Cambraia, Lívia B.L. Escobar|2024|J.Mol.Struct.|1306|137811|doi:10.1016/j.molstruc.2024.137811
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.cc2hzgcb
title: CCDC 2323182: Experimental Crystal Structure Determination

description: Related Article: Suman Kumar Choudhury, Dokku Sivaramakrishna, Chinapaka Ravindar, Musti J. Swamy|2024|Colloids and Surfaces A: Physicochemical and Engineering Aspects|687|133483|doi:10.1016/j.colsurfa.2024.133483
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.cc2hzgdc
title: CCDC 2323183: Experimental Crystal Structure Determination

description: Related Article: Suman Kumar Choudhury, Dokku Sivaramakrishna, Chinapaka Ravindar, Musti J. Swamy|2024|Colloids and Surfaces A: Physicochemical and Engineering Aspects|687|133483|doi:10.1016/j.colsurfa.2024.133483
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.cc2j08zt
title: CCDC 2323976: Experimental Crystal Structure Determination

description: Related Article: Nagaraju Ponugoti, Sudhakar Maddala, Parthasarathy Venkatakrishnan|2024|J.Org.Chem.|89|4185|doi:10.1021/acs.joc.3c02050
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.cc2j5ggn
title: CCDC 2328951: Experimental Crystal Structure Determination

description: Related Article: Weijun Dai, Ci Kong, Xiang Li, Baomin Fan, Chixian He, Jian-Jun Liu|2024|J.Solid State Chem.|333|124634|doi:10.1016/j.jssc.2024.124634
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: 10.6084/m9.figshare.25406134
title: Elsafty_RBCs_Slide_4

description: Each one of (Elsafty_RBCs_Slide_1-25) contains the field images/patches of a specific slide/patient. The names of the patches start with the respective slide/patient number, followed by the unique patch/field number. There is a total of 47,363 patches with 1076x535 pixels size from the 25 slides/patients, the counts of patches per slide/patient are as follows: 1690, 1709, 2697, 2400, 1905, 1803, 2964, 3049, 2464, 2080, 1894, 1852, 2590, 2263, 3328, 983, 1066, 935, 1131, 1237, 1874, 1393, 1277, 1199, and 1580.
DOI: 10.23719/1530057
title: Community engagement and the importance of partnerships within the Great Lakes Areas of Concern program: A mixed-methods case study

description: Supplementary data for "Alison Rentschler, Kathleen C. Williams, Community engagement and the importance of partnerships within the Great Lakes Areas of Concern program: A mixed-methods case study, Journal of Great Lakes Research, Volume 48, Issue 6, 2022, Pages 1473-1484, ISSN 0380-1330, https://doi.org/10.1016/j.jglr.2022.08.005."
DOI: 10.6084/m9.figshare.25225802
title: Beyond the microcirculation: sequestration of infected red blood cells and reduced flow in large draining veins in experimental cerebral malaria

description: Primary data MR, Primary data SPECT, uncropped histology pictures
DOI: 10.6084/m9.figshare.25225802.v1
title: Beyond the microcirculation: sequestration of infected red blood cells and reduced flow in large draining veins in experimental cerebral malaria

description: Primary data MR, Primary data SPECT, uncropped histology pictures
DOI: 10.34740/kaggle/dsv/7864895
title: Data Analyst Job Postings
DOI: 10.34740/kaggle/dsv/7864896
title: Data Scientist - Linkedin Job Postings
DOI: 10.21227/0bsx-z948
title: BengaliSent140 - A Bengali Hate Speech Fusion Dataset

description: In today's world of online communication, hate speech is a big problem. This dataset focuses on hate speech in Bengali, analyzing speeches to see if they contain hate or not. While there are many ways to analyze text online, most of them focus on languages like English, leaving out Bengali. But hate speech in Bengali is serious and common, especially on platforms like Facebook and YouTube. Sometimes, even TV shows have comments that are not nice for everyone to see. Finding and stopping hate speech in Bengali is hard because there aren't good tools for it yet. That's why we need more research in this area. One big problem is that there weren't many Bengali hate speech datasets available before ours. So, we made one with around 140,000 speeches, including 68,000 hateful ones and 71,000 that are not hateful. This dataset is one of the biggest for Bengali hate speech online. We made this dataset by combining different datasets and changing their labels to show if they contain hate or not. Having more data like this helps researchers and computers learn better ways to find and stop hate speech online. It's an important step in making the internet a safer and kinder place for everyone.
DOI: 10.34740/kaggle/dsv/7865215
title: Egypt Gold Prices | Daily Updated
DOI: 10.15151/esrf-es-1562126639
title: Cryo-EM study of the glycan-specific 9NA siphophage infecting a Gram-negative host.

description: Bacteriophages are killers of bacteria, currently under investigation as alternative treatment against multi-resistant bacteria. Despite their growing use, little is known on their infection molecular mechanism. Our recent elucidation of siphophage T5 interaction with its bacterial protein receptor and consequent DNA ejection is a major landmark in this field (Linares et al, 2023), but our current knowledge does not cover the wide diversity of signals and interactions phages encounter at the bacterial envelop, even though siphophages represent the majority (60%) of all phages. We thus want to unravel the prototype structure of 9NA phage infecting Salmonella. It interacts with the LPS O-antigen motif exhibited by the bacteria. We aim at solving the structure of the whole phage prior interaction with the LPS, to characterize the stoichiometry and assembly of the proteins within the entire vision. Preliminary reconstructions are promising, we require new data to reach atomic resolution.
DOI: 10.18112/openneuro.ds004581.v2.0.0
title: Brain Differences in Monolingual and Highly Proficient Multilingual Speakers
DOI: 10.34740/kaggle/dsv/7865259
title: Health Workforce Shortage Areas
DOI: 10.6084/m9.figshare.24955863.v1
title: Whole-rock and mineral compositions of harzburgites in the Luobusa ophiolite, Tibet

description: Whole-rock and mineral compositions of harzburgites in the Luobusa ophiolite, Tibet
DOI: 10.6084/m9.figshare.25424899.v1
title: <b>Revealing spatiotemporal patterns of </b><b>intra-city trip</b><b> with explainable data-driven technology and </b><b>private e-bike trajectories</b>

description: Destinations and origins of private e-bike trips
DOI: 10.6084/m9.figshare.21716618
title: Data repository for our publication: B. Yildirim, J. Doutch, J. M. Cole, "Multi-task Scattering-Model Classification and Parameter Regression of Nanostructures from Small-Angle Scattering Data", Digital Discovery (2024) DOI: 10.1039/d3dd00225j.

description: A dataset of 1.1 million theoretical small-angle scattering intensities, presented in association with the journal article: B. Yildirim, J. Doutch, J. M. Cole, "Multi-task Scattering-Model Classification and Parameter Regression of Nanostructures from Small-Angle Scattering Data", Digital Discovery (2024) DOI: 10.1039/d3dd00225j.
DOI: 10.5281/zenodo.10827054
title: Search Protocol for "Conversational Systems for AI-Augmented Business Process Management"

description: Results obtained from implementing the search protocol devised for the literature survey "Conversational Systems for AI-Augmented Business Process Management".

The dataset comprises four spreadsheets, each corresponding to one of the four BPM areas identified in the paper, namely:



Descriptive Process Analytics;

Predictive Process Analytics;

Prescriptive Process Optimization;

Augmented Process Execution.


Each spreadsheet consists of multiple sheets:



The first four sheets document the papers collected from each data source (Google Scholar, Scopus, ACM Digital Library, IEEE Xplore) by applying the search strings defined in the paper.

"All" reports all the papers obtained in the search.

"All(-duplicates)" lists all publications, excluding duplicates.

"Inclusion" applies the inclusion criteria defined in the paper to select the works considered in this survey.

"Final" comprises the selected papers, representing the outcomes of the search protocol's application.

"Results" provides statistical insights into the application of the search protocol for the specific BPM area under analysis."
DOI: 10.5281/zenodo.10827055
title: Search Protocol for "Conversational Systems for AI-Augmented Business Process Management"

description: Results obtained from implementing the search protocol devised for the literature survey "Conversational Systems for AI-Augmented Business Process Management".

The dataset comprises four spreadsheets, each corresponding to one of the four BPM areas identified in the paper, namely:



Descriptive Process Analytics;

Predictive Process Analytics;

Prescriptive Process Optimization;

Augmented Process Execution.


Each spreadsheet consists of multiple sheets:



The first four sheets document the papers collected from each data source (Google Scholar, Scopus, ACM Digital Library, IEEE Xplore) by applying the search strings defined in the paper.

"All" reports all the papers obtained in the search.

"All(-duplicates)" lists all publications, excluding duplicates.

"Inclusion" applies the inclusion criteria defined in the paper to select the works considered in this survey.

"Final" comprises the selected papers, representing the outcomes of the search protocol's application.

"Results" provides statistical insights into the application of the search protocol for the specific BPM area under analysis."
DOI: 10.5281/zenodo.10827050
title: Test data for MetIVA ( An XR-based Interactive Visualization Platform for Real-time Exploring Dynamic Earth Science Data)

description: Here,we presented the minimum demanded dataset to test the basic fuction of the software of MetIVA, which an XR-base interactive visualization platform for real-time exploring dynamic earth science data. The dynamic realtime data of traffic information (such as traffic volume, traffic spped, jam conditions) is directy obtained from the third-party supplier, such as Mapbox in the test version of MetIVA, the users can change it to other sources.  The users have their own accounts on the cloud computing platform to run the numerical models (such as WRF), the outputed results (in NetCDF format) can be sent to cloud storage and the link address need to be provided in the MetIVA.
DOI: 10.5281/zenodo.10827051
title: Test data for MetIVA ( An XR-based Interactive Visualization Platform for Real-time Exploring Dynamic Earth Science Data)

description: Here,we presented the minimum demanded dataset to test the basic fuction of the software of MetIVA, which an XR-base interactive visualization platform for real-time exploring dynamic earth science data. The dynamic realtime data of traffic information (such as traffic volume, traffic spped, jam conditions) is directy obtained from the third-party supplier, such as Mapbox in the test version of MetIVA, the users can change it to other sources.  The users have their own accounts on the cloud computing platform to run the numerical models (such as WRF), the outputed results (in NetCDF format) can be sent to cloud storage and the link address need to be provided in the MetIVA.
DOI: 10.1594/pangaea.888882
title: Raw multibeam EM122 data: transits of SONNE cruise SO257 (Indian Ocean)

description: Latitude/Longitude extracted from DSHIP.Data acquisition was performed using a multibeam sonar system Simrad EM-122 from Kongsberg. Raw data are delivered within Simrad current multibeam vendor format. SIMRAD raw data can be processed i.e. with the software packages CARIS HIPS/SIPS, Caraibes, QPS Qimera or with the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/).These data should not be used for navigational purposes.