cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1317507.09fu
title: SH1317507.09FU

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/sh1317508.09fu
title: SH1317508.09FU

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/sh1317509.09fu
title: SH1317509.09FU

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/sh1317510.09fu
title: SH1317510.09FU

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: 10.6084/m9.figshare.21505480.v1
title: Additional file 4 of Chromosomal and gonadal sex drive sex differences in lipids and hepatic gene expression in response to hypercholesterolemia and statin treatment

description: Additional file 4. Table S4. FCG gonadally-regulated genes compared to growth hormone regulated genes.
DOI: 10.6084/m9.figshare.21505519.v1
title: Additional file 3 of Olfactory marker protein contains a leucine-rich domain in the Ω-loop important for nuclear export

description: Additional file 3: The Macrocodes to convert the MSA in a FASTA format into an Excel format.
DOI: 10.6084/m9.figshare.21505516.v1
title: Additional file 2 of Olfactory marker protein contains a leucine-rich domain in the Ω-loop important for nuclear export

description: Additional file 2: The raw MSA of OMP in FASTA format downloaded from COBALT.
DOI: 10.6084/m9.figshare.21505513.v1
title: Additional file 1 of Olfactory marker protein contains a leucine-rich domain in the Ω-loop important for nuclear export

description: Additional file 1: The raw data presented in this study.
DOI: 10.6084/m9.figshare.21505551
title: Android smartphone spec

description: Android smartphone spec
DOI: 10.6084/m9.figshare.21505519
title: Additional file 3 of Olfactory marker protein contains a leucine-rich domain in the Ω-loop important for nuclear export

description: Additional file 3: The Macrocodes to convert the MSA in a FASTA format into an Excel format.
DOI: 10.6084/m9.figshare.21505516
title: Additional file 2 of Olfactory marker protein contains a leucine-rich domain in the Ω-loop important for nuclear export

description: Additional file 2: The raw MSA of OMP in FASTA format downloaded from COBALT.
DOI: 10.6084/m9.figshare.21505513
title: Additional file 1 of Olfactory marker protein contains a leucine-rich domain in the Ω-loop important for nuclear export

description: Additional file 1: The raw data presented in this study.
DOI: 10.5519/qd.3400ixdd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (20 records)
DOI: 10.15151/esrf-es-965049251
title: The Netherlands BAG

description: The Netherlands BAG includes groups situated at five Dutch universities (Utrecht, Groningen, Amsterdam, Wageningen and Eindhoven) and at the Netherlands Cancer Institute in Amsterdam, with a total of twelve PIs. The structural biology research carried out in these groups is highly diverse, including prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Central to many projects are protein receptors and their interactions with other proteins and with small molecule modulators. An additional major research area concerns structure-based protein engineering and design aiming at the characterization and engineering of new enzymes for green chemistry and new-to-nature reactions. Projects deal with membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.6084/m9.figshare.21505629
title: DATA.xlsx

description: Adescription about gallstone formation after hepatectomy.
DOI: 10.6084/m9.figshare.21505629.v1
title: DATA.xlsx

description: Adescription about gallstone formation after hepatectomy.
DOI: 10.6084/m9.figshare.21505626.v1
title: Gridded IMD Meteorological datasets

description: The datasets are in a gridded filed format at 0.25-degree spatial resolution where the location of the grid is in the filename itself. Three columns in a file are daily observed precipitation (mm), maximum temperature (oC), and minimum temperature (oC) datasets. IMD datasets are available from 1951-2021.
DOI: 10.6084/m9.figshare.21505632
title: Observed rainfall and temperature data

description: The datasets are in a gridded filed format at 0.25-degree spatial resolution where the location of the grid is in the filename itself. Three columns in a file are daily observed precipitation (mm), maximum temperature (degree C), and minimum temperature (degree C) datasets. IMD datasets are available from 1951-2021.
DOI: 10.6084/m9.figshare.21424932.v1
title: The supplementary materials for 'Variety of rumen microbial populations involved in biohydrogenation related to individual milk fat percentage of dairy cows'

description: The supplementary materials for 'Variety of rumen microbial populations involved in biohydrogenation related to individual milk fat percentage of dairy cows'
DOI: 10.6084/m9.figshare.20439240
title: Underlying data: Antecedents of Patient’s Revisit Intention: Mediating role of Trust in the Hospital among Patients in India

description: This is a complete dataset used in the study
DOI: 10.6084/m9.figshare.20439240.v2
title: Underlying data: Antecedents of Patient’s Revisit Intention: Mediating role of Trust in the Hospital among Patients in India

description: This is a complete dataset used in the study
DOI: 10.6084/m9.figshare.20439240.v1
title: Underlying data: Antecedents of Patient’s Revisit Intention: Mediating role of Trust in the Hospital among Patients in India

description: This is a complete dataset used in the study
DOI: 10.6084/m9.figshare.21505626
title: Observed reservoir storage data India

description: Reservoir storage data
DOI: 10.6084/m9.figshare.21505626.v3
title: Observed reservoir storage data

description: Reservoir storage data
DOI: 10.6084/m9.figshare.21505701
title: Supplemental File 5. Tommy Atkins Drought Genes Protein Sequences.fasta

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505701.v1
title: Supplemental File 5. Tommy Atkins Drought Genes Protein Sequences.fasta

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505710
title: Supplemental File 1. DroughtDB Plant Drought Stress Genes.fasta

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505710.v1
title: Supplemental File 1. DroughtDB Plant Drought Stress Genes.fasta

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505686
title: Supplemental File 4. Alphonso Drought Genes Protein Sequences.fasta

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505686.v1
title: Supplemental File 4. Alphonso Drought Genes Protein Sequences.fasta

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505689
title: Supplemental File 3. Tommy Atkins Evolutionary Best-fit Model.iqtree

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505689.v1
title: Supplemental File 3. Tommy Atkins Evolutionary Best-fit Model.iqtree

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505692
title: Supplemental File 2.Alphonso Evolutionary Best-fit Model.iqtree

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505692.v1
title: Supplemental File 2.Alphonso Evolutionary Best-fit Model.iqtree

description: Supplemental Files
DOI: 10.6084/m9.figshare.21505716
title: Taxane cohort

description: clinical course in AEC patients treated with taxane
DOI: 10.6084/m9.figshare.21505716.v1
title: Taxane cohort

description: clinical course in AEC patients treated with taxane
DOI: 10.5281/zenodo.5513237
title: Spanish Biomedical Crawled Corpus

description: The largest Spanish biomedical and heath corpus to date gathered from a massive Spanish health domain crawler over more than 3,000 URLs were downloaded and preprocessed. All the collected data have been preprocessed to produce the CoWeSe (Corpus Web Salud Español) resource, a large-scale and high-quality corpus intended for biomedical and health NLP in Spanish. Enlarged version with less restrictive document and sentence deduplication. <strong>Citation</strong> If you use this resource in your work, please cite our paper: <pre>@misc{carrino2021spanish, title={Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models}, author={Casimiro Pio Carrino and Jordi Armengol-Estapé and Ona de Gibert Bonet and Asier Gutiérrez-Fandiño and Aitor Gonzalez-Agirre and Martin Krallinger and Marta Villegas}, year={2021}, eprint={2109.07765}, archivePrefix={arXiv}, primaryClass={cs.CL} } </pre> Copyright (c) 2022 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.4561970
title: Spanish Biomedical Crawled Corpus

description: The largest Spanish biomedical and heath corpus to date gathered from a massive Spanish health domain crawler over more than 3,000 URLs were downloaded and preprocessed. All the collected data have been preprocessed to produce the CoWeSe (Corpus Web Salud Español) resource, a large-scale and high-quality corpus intended for biomedical and health NLP in Spanish. Enlarged version with less restrictive document and sentence deduplication. <strong>Citation</strong> If you use this resource in your work, please cite our paper: <pre>@misc{carrino2021spanish, title={Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models}, author={Casimiro Pio Carrino and Jordi Armengol-Estapé and Ona de Gibert Bonet and Asier Gutiérrez-Fandiño and Aitor Gonzalez-Agirre and Martin Krallinger and Marta Villegas}, year={2021}, eprint={2109.07765}, archivePrefix={arXiv}, primaryClass={cs.CL} } </pre> Copyright (c) 2022 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.5577417
title: edsr eval data

description: the edsr DEM superresolution model eval data.
DOI: 10.5281/zenodo.5577416
title: DEM-SRNet eval data

description: the DEM-SRNet DEM superresolution model eval data.
DOI: 10.5281/zenodo.7293932
title: DEM-SRNet eval data

description: the DEM-SRNet DEM superresolution model eval data.
DOI: 10.6084/m9.figshare.21505620
title: Nivolumab cohort

description: clinical course in AEC patients treated with nivolumab
DOI: 10.6084/m9.figshare.21505620.v1
title: Nivolumab cohort

description: clinical course in AEC patients treated with nivolumab
DOI: 10.5281/zenodo.4557459
title: Spanish Biomedical Sub-word Embeddings in FastText

description: <strong>Spanish Biomedical Sub-word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus ever made from Spanish Biomedical resources till the date. <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4557110
title: Spanish Biomedical Sub-word Embeddings in FastText

description: <strong>Spanish Biomedical Sub-word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus ever made from Spanish Biomedical resources till the date. <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4556995
title: ATC7 codes Spanish-English translations

description: <strong>ATC7 codes Spanish-English translations</strong> This repository contains Spanish-English translations of the medical ATC7 codes. Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4556994
title: ATC7 codes Spanish-English translations

description: <strong>ATC7 codes Spanish-English translations</strong> This repository contains Spanish-English translations of the medical ATC7 codes. Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4555598
title: Spanish Clinical Sub-word Embeddings in FastText

description: <strong>Spanish Clinical Sub-word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus ever made from Spanish Clinical resources till the date. <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4555597
title: Spanish Clinical Sub-word Embeddings in FastText

description: <strong>Spanish Clinical Sub-word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus ever made from Spanish Clinical resources till the date. <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4543236
title: Spanish Biomedical Word Embeddings in FastText

description: <strong>Spanish Biomedical Word Embeddings in FastText</strong> These word embeddings have been generated from the largest corpus ever made from Spanish Biomedicine resources till the date.<br> The corpus has more than 6Gb of curated high quality text. For previous version (v2) see: https://zenodo.org/record/3744326#.YCu3fGj0mUk <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.4543235
title: Spanish Biomedical Word Embeddings in FastText

description: <strong>Spanish Biomedical Word Embeddings in FastText</strong> These word embeddings have been generated from the largest corpus ever made from Spanish Biomedicine resources till the date.<br> The corpus has more than 6Gb of curated high quality text. For previous version (v2) see: https://zenodo.org/record/3744326#.YCu3fGj0mUk <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.7294190
title: Source data

description: Source data for: Ferromagnetic–antiferromagnetic coexisting ground states and exchange bias effects in MnBi4Te7 and MnBi6Te10 Figure1.xlsx Figure2.xlsx Figure3.xlsx Figure4.xlsx
DOI: 10.5281/zenodo.7294191
title: Source data

description: Source data for: Ferromagnetic–antiferromagnetic coexisting ground states and exchange bias effects in MnBi4Te7 and MnBi6Te10 Figure1.xlsx Figure2.xlsx Figure3.xlsx Figure4.xlsx
DOI: 10.6084/m9.figshare.21505413
title: Data_and_codes.zip

description: Data and codes for HMSC and Zonation.
DOI: 10.6084/m9.figshare.21505413.v1
title: Data_and_codes.zip

description: Data and codes for HMSC and Zonation.
DOI: 10.6084/m9.figshare.19744933
title: Chatbot Ai-aun

description: Chatbot Ai-aun
DOI: 10.6084/m9.figshare.19744933.v14
title: Chatbot Ai-aun

description: Chatbot Ai-aun
DOI: 10.5281/zenodo.6640505
title: Code and data supplement for Loke & Chisholm, 2022 (ELE-14084)

description: Please see main article (Article DOI: 10.1111/ele.14084).
DOI: 10.5281/zenodo.6640504
title: Code and data supplement for Loke & Chisholm, 2022 (ELE-14084)

description: Please see main article (Article DOI: 10.1111/ele.14084). Link to article: https://onlinelibrary.wiley.com/doi/full/10.1111/ele.14084
DOI: 10.5281/zenodo.7294217
title: Code and data supplement for Loke & Chisholm, 2022 (ELE-14084)

description: Please see main article (Article DOI: 10.1111/ele.14084). Link to article: https://onlinelibrary.wiley.com/doi/full/10.1111/ele.14084
DOI: 10.15151/esrf-es-924497947
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, the National Research Council and Hospital research centres in Italy. The laboratories take advantage of single crystal and small angle X-ray diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth, or aim at characterising macromolecules with potential biotechnological applications.
DOI: 10.15151/esrf-es-925348365
title: BAG Montpellier

description: The BAG of Montpellier ...
DOI: 10.15151/esrf-es-925650616
title: Belgian BAG

description: The BAG includes groups situated at four Flemish universities: Antwerp, Brussels, Ghent and Leuven. Several of these groups are part of the elite Flemish Institute of Biotechnology (VIB). The proposed projects are highly diverse, including viral, prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Many projects deal with membrane proteins, cell surface receptors and protein-protein complexes. Central to the research in the BAG associated groups is the employment of integrative methods in structural biology combining X-ray crystallography, SAXS, and cryo-electron microscopy. Many crystals in the various proposed projects are small in size and radiation sensitive, requiring the use of the high brilliance MX beam lines, preferably with micro-focused X-rays. This is a continuation of a previous Belgian BAG which has resulted in numerous top-tier publications.