cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1429109.08fu
title: SH1429109.08FU

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/sh1429110.08fu
title: SH1429110.08FU

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/sh1429111.08fu
title: SH1429111.08FU

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/sh1429112.08fu
title: SH1429112.08FU

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: 10.25549/one-c4-33287
title: John B., letters (1955/1965)

description: John B., forms, letters (1955/1965)
DOI: 10.15156/bio/sh1429113.08fu
title: SH1429113.08FU

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/sh1429114.08fu
title: SH1429114.08FU

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/sh1429115.08fu
title: SH1429115.08FU

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: 10.6084/m9.figshare.14781903
title: 2021 - Sa et al. Marine-mammalsMHC Datasets and Rscripts

description: Datasets and R scripts used for the "Novel insights on aquatic mammal’s MHC evolution: evidence from manatees' DQB diversity" manuscript.
DOI: 10.6084/m9.figshare.14781903.v2
title: 2021 - Sa et al. Marine-mammalsMHC Datasets and Rscripts

description: Datasets and R scripts used for the "Novel insights on aquatic mammal’s MHC evolution: evidence from manatees' DQB diversity" manuscript.
DOI: 10.6084/m9.figshare.19394162
title: Coral reefs coverage map of the Mexican Caribbean: Cabo Catoche – Xcalak

description: The map represents the spatial distribution of coral reef cover in shallow waters of the Mexican Mesoamerican Barrier Reef System, from Cabo Catoche to Xcalak, in an area of 1001 km<sup>2</sup>, with an average maximum depth of 18 m. It is generated from the benthic coverage map of the marine ecosystems of the Mexican Caribbean: Cabo Catoche - Xcalak, combining the classes: (i) coral reef structure, (ii) octocorals and (iii) octocorals and corals. The benthic cover map was obtained from bottom reflectance, relief and bathymetry, coming from the analysis of 23 WorldView-2 satellite images (2009-2015). This product is the result of the ArrecifeSAM project, coordinated by CONABIO as part of the Marine-Coastal Information and Analysis System (SIMAR) (https://simar.conabio.gob.mx).<br><b>Acknowledgement</b>The authors acknowledge the logistical and technical support provided by National Financial Trust Fund for Biodiversity, the National Commission for the Knowledge and Use of Biodiversity (CONABIO), National Commission of Natural Protected Areas Mexico (CONANP), and National Autonomous University of Mexico, UNAM (UASA Marine Science and Limnology Institute, Science Faculty - Academic Unit Sisal).<br><br>
DOI: 10.6092/unibo/amsacta/6867
title: Dataset codifica serie TV Marvel Disney+

description: Il dataset fa riferimento alla tesi di laurea magistrale in Cinema, Televisione e Produzione Multimediale (CITEM) di Angelica Frigo (a.a. 2020/2021). I dati raccolti e qui consultabili sono parte di un’analisi relativa alle prime serie televisive prodotte dai Marvel Studios; in particolare, vengono qui riportate le tabelle di codifica di WandaVision (WandaVision, Disney+, 2021), The Falcon and the Winter Soldier (The Falcon and the Winter Soldier, Disney+, 2021) e Loki (Loki, Disney+, 2021), utilizzate principalmente nel Capitolo 4 dell’elaborato.
DOI: 10.6084/m9.figshare.17705021
title: Metadata record for: Analysis of metabolic dynamics during drought stress in Arabidopsis plants

description: This dataset contains key characteristics about the data described in the Data Descriptor Analysis of metabolic dynamics during drought stress in Arabidopsis plants. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.19364828
title: Long COVID Survey Data

description: Survey Data
DOI: 10.25422/azu.data.16619782
title: Raw birdsong data for "Vocal changes in a zebra finch model of Parkinson’s Disease characterized by alpha-synuclein overexpression in the song-dedicated anterior forebrain pathway"

description: Parkinson's disease is the second most common neurodegenerative disease affecting motor behavior. In addition to the typical peripheral limb motor symptoms, vocal motor issues such as deteriorated vocal quality are present in Parkinson's patients. Unfortunately, very little is known about the biological mechanisms underlying these vocal changes. Here, we developed a Parkinsonian model using the zebra finch songbird to study the underlying neural mechanisms of these changes. Finch song and supportive brain areas are similar to human speech and brain pathways. To do this, we recorded song for 2 hours from zebra finches injected with an adeno-associated virus expressing either the causally-related human Parkinsonian gene SNCA or control GFP protein in finch brain. Song was then segmented using a specially designed matlab program called Vocal Inventory Clustering Engine (VoICE) into unique syllables. Acoustic features such as duration, pitch, mean frequency, amplitude, Wiener Entropy, frequency modulation, and amplitude modulation were measured from 75 individual copies of these syllables. The mean, mean variance, and coefficient of variation of these syllables were also measured. Motif-level data was also collected to monitor how much each bird sang (i.e., how many copies of song were uttered over a 2 hour period). We found that overexpression of SNCA led to shorter and poorer quality syllables that are similar to Parkinsonian vocal changes.<br><br>To cite this work, please cite both the associated PLoS One paper "Vocal changes in a zebra finch model of Parkinson’s Disease characterized by alpha-synuclein overexpression in the song-dedicated anterior forebrain pathway" and this dataset.<br><i><br></i><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</i>
DOI: 10.25422/azu.data.16619782.v1
title: Raw birdsong data for "Vocal changes in a zebra finch model of Parkinson’s Disease characterized by alpha-synuclein overexpression in the song-dedicated anterior forebrain pathway"

description: Parkinson's disease is the second most common neurodegenerative disease affecting motor behavior. In addition to the typical peripheral limb motor symptoms, vocal motor issues such as deteriorated vocal quality are present in Parkinson's patients. Unfortunately, very little is known about the biological mechanisms underlying these vocal changes. Here, we developed a Parkinsonian model using the zebra finch songbird to study the underlying neural mechanisms of these changes. Finch song and supportive brain areas are similar to human speech and brain pathways. To do this, we recorded song for 2 hours from zebra finches injected with an adeno-associated virus expressing either the causally-related human Parkinsonian gene SNCA or control GFP protein in finch brain. Song was then segmented using a specially designed matlab program called Vocal Inventory Clustering Engine (VoICE) into unique syllables. Acoustic features such as duration, pitch, mean frequency, amplitude, Wiener Entropy, frequency modulation, and amplitude modulation were measured from 75 individual copies of these syllables. The mean, mean variance, and coefficient of variation of these syllables were also measured. Motif-level data was also collected to monitor how much each bird sang (i.e., how many copies of song were uttered over a 2 hour period). We found that overexpression of SNCA led to shorter and poorer quality syllables that are similar to Parkinsonian vocal changes.<br><br>To cite this work, please cite both the associated PLoS One paper "Vocal changes in a zebra finch model of Parkinson’s Disease characterized by alpha-synuclein overexpression in the song-dedicated anterior forebrain pathway" and this dataset.<br><i><br></i><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</i>
DOI: 10.6084/m9.figshare.19394252
title: Wu_Wotring_Cory_Studies_for_repo.csv

description: File contains data and available metadata on medications that have been undergone stability testing in NASA-sponsored drug stability studies. These data are studies of opportunity, not controlled pair-matched samples
DOI: 10.6084/m9.figshare.19369463.v1
title: Description and quality of the snakebite database in Brazil from 2007 to 2020

description: 1. O arquivo “NAIMAC” compactado em .zip possui um conjunto de 378 arquivos de dados extraídos do banco de dados aberto do DATASUS2. Produto de banco de dados original “SINAN_2007_2020.xlsx” da união de vários bancos de dados do DATASUS, e após aplicação de filtro somente para picadas de cobra.3. “SINAN_07_20_Ajust.xlsx” produto original da base de ajuste das variáveis ​​que apresentaram inconsistências.4. Base de dados “CASE_JOIN” para o número de casos por tipo de picada de cobra.<br>5. “Meta-data_02.16.2022.xlsx” contém o resumo do conjunto de dados, como definição e unidade das variáveis ​​utilizadas em “SINAN_2007_2020.xlsx”, “SINAN_07_20_Adjust.xlsx” e “CASE_JOIN”.6. “COMPLETENESS_ORIG” contém a completude do banco de dados referente ao banco filtrado para acidentes ofídicos.7. “COMPLETENESS_AJUST” contém a integridade do banco de dados após realizar o ajuste do banco de dados.8. Tabela de distribuição “tab1_final” de todas as variáveis ​​segundo o tipo de acidente ofídico identificado, na base de dados “SINAN_2007_2020.xlsx”.9. Tabela de distribuição “tab1_final_ajust” de todas as variáveis ​​de acordo com o tipo de picada de cobra identificada, na base de dados “SINAN_07_20_Ajust.xlsx”10. “R_script_for_Silva-Neto_et.al.02.21.2022.zip” contém scripts R usados ​​para unir bancos de dados, ajustar variáveis, avaliação de completude e tabela um.11. Arquivo compactado “LIM_MUNI_2017” em formato .zip, com banco de dados shapefile para elaboração do mapa de distribuição dos casos de acidentes ofídicos por município.<br>
DOI: 10.5281/zenodo.6374209
title: Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions

description: Lipidomics studies suffer from analytical and annotation challenges due to the great structural similarity of many of the lipid species. To improve lipid characterization and annotation capabilities beyond those afforded by traditional mass spectrometry (MS)-based methods, multidimensional separation methods such as those integrating liquid chromatography, ion mobility spectrometry, collision induced dissociation and MS (LC-IMS-CID-MS) may be employed. While LC-IMS-CID-MS and other multidimensional methods offer valuable hydrophobicity, structural and mass information, the files are also complex and difficult to assess. Thus, the development of software tools to rapidly process and facilitate confident lipid annotations is essential. In this Protocol Extension, we utilize the freely available, vendor-neutral, and open-source software Skyline to process and annotate the multidimensional lipidomic data. While Skyline was established for targeted processing of LC-MS-based proteomics data, it has since been extended such that it can be used to analyze small molecule data as well as data containing the IMS dimension. This protocol utilizes Skylines’ recently expanded capabilities, including small molecule spectral libraries, indexed retention time (iRT), and ion mobility filtering, and provides a step-by-step description for importing data, predicting retention times, validating lipid annotations, exporting results, and editing our manually validated 500+ lipid library. While the time required to complete the steps outlined here varies based on multiple factors such as dataset size and familiarity with Skyline, this protocol takes approximately 5.5 hours to complete when annotations are rigorously verified for maximum confidence.
DOI: 10.5281/zenodo.6374208
title: Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions

description: Lipidomics studies suffer from analytical and annotation challenges due to the great structural similarity of many of the lipid species. To improve lipid characterization and annotation capabilities beyond those afforded by traditional mass spectrometry (MS)-based methods, multidimensional separation methods such as those integrating liquid chromatography, ion mobility spectrometry, collision induced dissociation and MS (LC-IMS-CID-MS) may be employed. While LC-IMS-CID-MS and other multidimensional methods offer valuable hydrophobicity, structural and mass information, the files are also complex and difficult to assess. Thus, the development of software tools to rapidly process and facilitate confident lipid annotations is essential. In this Protocol Extension, we utilize the freely available, vendor-neutral, and open-source software Skyline to process and annotate the multidimensional lipidomic data. While Skyline was established for targeted processing of LC-MS-based proteomics data, it has since been extended such that it can be used to analyze small molecule data as well as data containing the IMS dimension. This protocol utilizes Skylines’ recently expanded capabilities, including small molecule spectral libraries, indexed retention time (iRT), and ion mobility filtering, and provides a step-by-step description for importing data, predicting retention times, validating lipid annotations, exporting results, and editing our manually validated 500+ lipid library. While the time required to complete the steps outlined here varies based on multiple factors such as dataset size and familiarity with Skyline, this protocol takes approximately 5.5 hours to complete when annotations are rigorously verified for maximum confidence.
DOI: 10.6084/m9.figshare.16649410
title: Finding love in a hopeless place: a global database of misdirected amplexus in anurans

description: Database with 378 entries containing information on misdirected amplexus events and the amphibian species involved, as well as location, date and environmental parameters.
DOI: 10.6084/m9.figshare.19394249
title: Du-2011-drug degridation_for-repo_03142022.csv

description: File contains data and available metadata on medications that have been undergone stability testing in NASA-sponsored drug stability studies. These data were originally published by Du et al. 2011): 10.1208/s12248-011-9270-0
DOI: 10.5281/zenodo.6373656
title: Monitoring data second-life battery at Cloverleaf

description: Dataset consisting of monitoring data on the second-life battery system that was implemented in the context of Circusol: - Round Trip Efficiency<br> - State of Health evolution<br> - Typical Day V I & Vcell
DOI: 10.5281/zenodo.6373655
title: Monitoring data second-life battery at Cloverleaf

description: Dataset consisting of monitoring data on the second-life battery system that was implemented in the context of Circusol: - Round Trip Efficiency<br> - State of Health evolution<br> - Typical Day V I & Vcell
DOI: 10.5281/zenodo.6372953
title: strait-nh-hs-part1

description: Nh Hs dynamic Part1
DOI: 10.5281/zenodo.6372952
title: strait-nh-hs-part1

description: Nh Hs dynamic Part1
DOI: 10.5281/zenodo.6371963
title: Data to: The importance of ecotype diversity on duckweed growth with and without salt stress

description: To test if ecotype diversity could increase resistance to stressful environments, I used seven <em>Lemna minor</em> populations and measured their growth rates with and without moderate salt stress across an ecotype diversity gradient. The <em>L. minor</em> populations were grown over five months in 92 experimental mesocosms in a glasshouse, either in ecotype monocultures or in polyculture with either one or three conspecific ecotypes (23 unique compositions). After growing the duckweed in unperturbed conditions (phase 1), the cultures were subjected to moderate salt stress (50mM NaCl) for several weeks (phase 2). The experiment was conducted in the presence of the natural epimicrobial community associated with the different ecotypes. In phase 2, a subset of these algae added an unintentional second stressor to the experiment.