cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0796660.10fu
title: SH0796660.10FU

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/sh0796661.10fu
title: SH0796661.10FU

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/sh0796662.10fu
title: SH0796662.10FU

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/sh0796663.10fu
title: SH0796663.10FU

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/sh0796664.10fu
title: SH0796664.10FU

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/sh0796665.10fu
title: SH0796665.10FU

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: 10.5281/zenodo.10411123
title: Transport Starter Data Kit: Historical socio-transport data for Nigeria

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.6539979
title: Transport Starter Data Kit: Historical socio-transport data for Nigeria

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.6539980
title: CCG Transport Data for Starter Data Kit: Nigeria

description: Transport data for a starter data kit for Nigeria
DOI: 10.5281/zenodo.7997696
title: Transport Starter Data Kit: Nigeria

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.6540009
title: CCG Transport Data for Starter Data Kit: Senegal

description: Transport data for a starter data kit for Senegal
DOI: 10.5281/zenodo.7997711
title: Transport Starter Data Kit: Senegal

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.10411135
title: Transport Starter Data Kit: Historical socio-transport data for Senegal

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.6540008
title: Transport Starter Data Kit: Historical socio-transport data for Senegal

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.21227/z6vm-sp02
title: S-Parameter measurements of an AI-enhanced adaptive WPT system

description: The dataset Provides S-parameter measurements of an AI enhanced wireless power transfer system using two ISO/ICE 14443-1 Coils with series capacitance compensation at 13.56 MHz under three configurations of vertical and horizontal misalignment, inter-coil distance, and azimuthal tilt. The structure and components of the system is shown in the Image attached to the Dataset This measured data validates the implementation of the system at the three coil configurations discussed in the publication. J. R. Lopera, R. Fischbacher, R. Pestros, D. Pommerenke, B. Auinger and J. Grosinger, "Adaptive NFC WPT System Implementing Neural Network-Based Impedance Matching with Bypass Functionality," 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023, San Diego, CA, USA, 2023, pp. 879-882, With the following DOI: 10.1109/IMS37964.2023.10187957And complements the data we provided in the separate dataport under the following DOI: 10.21227/vtp8-x586
DOI: 10.6084/m9.figshare.24711528
title: BabyEar4k dataset

description: An image dataset for normal and deformed newborn ears.
DOI: 10.6084/m9.figshare.24711528.v1
title: BabyEar4k dataset

description: An image dataset for normal and deformed newborn ears.
DOI: 10.57745/15izeo
title: Climatic_data.tab

description: :unav
DOI: 10.57745/yyf6wt
title: Description_of_variables_Read_Me.txt

description: :unav
DOI: 10.57745/edwgbv
title: Description_of_factors_of_variation.tab

description: :unav
DOI: 10.57745/3qlcee
title: Miscanthus_Leaves_composition.tab

description: :unav
DOI: 10.57745/hacsar
title: Miscanthus_production_morphological_traits_developmental_stages.tab

description: :unav
DOI: 10.57745/oo7jmk
title: Description_of_variables.tab

description: :unav
DOI: 10.57745/yxewbv
title: Miscanthus_Total_Abovegroundpart_composition.tab

description: :unav
DOI: 10.57745/kqif94
title: Description_of_miscanthus_clones_Read_Me.txt

description: :unav
DOI: 10.57745/ogqyzz
title: Miscanthus_Stems_composition.tab

description: :unav
DOI: 10.57745/5odswe
title: Climatic_data_Read_Me.txt

description: :unav
DOI: 10.57745/tnvny4
title: Description_of_factors_of_variation_Read_Me.txt

description: :unav
DOI: 10.57745/l3az7n
title: Description_of_miscanthus_clones.tab

description: :unav
DOI: 10.17909/jf9p-0r84
title: GJ12_TESS_DOI

description: try2
DOI: 10.21227/zy9c-p539
title: Current Characteristic of a train

description: The dataset contains ttwo columns, the first column represent the 'Time' data , while the second column represents the 'Current' data's. These figures are from a simulation of the 750 VDC traction system. These figures also show the train's high beginning current and used to study the DC traction system.
DOI: 10.17632/cjnyhtm26r.1
title: Matriz principal de datos. Artículo "Polarización y odio en TikTok contra la Ley Trans de España"

description: Main data matrix. Article "Polarisation and hate on TikTok against Spain's Trans Law". This exploratory and qualitative research focuses on the analysis of the polarization of hate messages towards the Trans Law of Spain in the videos published on TikTok. The sample is made up of 112 contents posted between October 13, 2022 and April 13, 2023. For this study, a content analysis has been carried out that includes seven variables. The main findings indicate the predominance of negative affective polarization towards the new legislation against the LGTBI+ community, through discursive resources that use the hate and misinformation to ridicule the law and the trans community.
DOI: 10.17632/83bvxzx3bj.2
title: u-Blox F9P and Google Pixel 5 (repeated 20 minutes static measurements under variable conditions)

description: Raw GNSS data recorded using u-Blox ZED F9P receiver and Google Pixel 5 smartphone simultaneously. 20 minutes of measurement on open area point (first point according to time in a particular day), point with partial trees' canopy (second) and point under full canopy (third). 10 repetitions (particular days) under leaf-on conditions and 10 under leaf-off conditions.
The dataset is related to the paper "Static Positioning under Tree Canopy Using Low-Cost GNSS Receivers and Adapted RTKLIB Software "  in the Sensors jornal (https://doi.org/10.3390/s23063136). Please, refer to this source when using the dataset.
DOI: 10.17632/r2ycsfcvvb.1
title: Libro de códigos. Artículo “Polarización y odio en Tik Tok contra la Ley Trans de España”

description: Full codebook of the research "Polarisation and hate in TikTok against Spain's Trans Law". This exploratory and qualitative research focuses on the analysis of the polarization of hate messages towards the Trans Law of Spain in the videos published on TikTok. The sample is made up of 112 contents posted between October 13, 2022 and April 13, 2023. For this study, a content analysis has been carried out that includes seven variables. The main findings indicate the predominance of negative affective polarization towards the new legislation against the LGTBI+ community, through discursive resources that use the hate and misinformation to ridicule the law and the trans community.
DOI: 10.17632/jrwhwwvw3v.1
title: Data 1

description: In this paper, we prepared keratin-based nanoparticles for oral delivery of insulin by self-assembly. In vivo and in vitro experiments showed that the nanoparticles had good compatibility and high insulin loading. In vivo experiments have proved that the nanoparticles can protect insulin from the destruction of the gastrointestinal tract and achieve a sustained-release effect.
DOI: 10.17632/p6j5c2g86y.1
title: Active methane release in the early Cambrian seafloor

description: These data are generated by the study submitted to Geochimica et Cosmochimica Acta with the same title.
DOI: 10.6084/m9.figshare.24851532.v1
title: Maps and models: primed myosin, primed actomyosin, and PostPS actomyosin

description: CryoEM maps and models: primed myosin, primed actomyosin, and PostPS actomyosin
DOI: 10.5281/zenodo.6477700
title: Pop-up satellite archival tagging data of Atlantic bluefin tuna in the Gulf of Lions, Northwestern Mediterranean Sea

description: 24 Atlantic bluefin tuna (Thunnus thynnus) individuals (117–158 cm fork length) were tagged with pop-up archival tags in the Gulf of Lion, NW-Mediterranean Sea between 2015 and 2016.


Tag programming and data


The tags applied (miniPATs by Wildlife Computers, https://wildlifecomputers.com) can record depth and temperature time series (denoted hereafter as DepthTS and TempTS, respectively) at a temporal resolution of 3–5 s (depending on the predefined deployment duration) and a vertical resolution of 0.5 m. Based on these data, the tag calculates and stores additional data products such as PAT-style Depth–Temperature profiles (PDT), time at depth data, and time at temperature. After pop-up, the tags transmit user-defined data products and subsets from the recorded data sets. All our tags were configured to transmit the following data products: daily light curves, DepthTS, and PDT. In order to maximize data coverage of the transmitted datasets, we decreased the temporal resolution of the DepthTS and PDT data after the first tagging campaign in 2015 from 150 to 600 s and 6 to 24 h, respectively. For both years, deployment durations were set to 150 and 90 d during spring (April–May) and summer (August–September), respectively. A description of the electronic tagging procedure can be found in Bauer et al. (2020).


Seven tags were physically recovered, providing the complete archived time series data at a resolution of 3–5 s. Nineteen tags provided more than 7 d of complete DepthTS data (i.e. without transmission gaps). Three tags from 2016 had deployment durations of <1 week (#15P0983, #15P0985, and #15P0986) because of hardware failure.


Provided files contain raw tag data (transmitted and recovered datasets) from the Wildlife Computers Data Portal as well as related GPE3 model runs (geolocation estimates).


We thank the crews of the Cyngali and Roussillon Fishing recreational fishing vessels for their cooperation during the tagging cruises. This tagging study was part of the BLUEMED project and funded by the French National Research Agency (ANR; Project-ID ANR-14-ACHN-0002).
DOI: 10.5281/zenodo.6477701
title: Pop-up satellite archival tagging data of Atlantic bluefin tuna in the Gulf of Lions, Northwestern Mediterranean Sea

description: 24 Atlantic bluefin tuna (Thunnus thynnus) individuals (117–158 cm fork length) were tagged with pop-up archival tags in the Gulf of Lion, NW-Mediterranean Sea between 2015 and 2016.


Tag programming and data


The tags applied (miniPATs by Wildlife Computers, https://wildlifecomputers.com) can record depth and temperature time series (denoted hereafter as DepthTS and TempTS, respectively) at a temporal resolution of 3–5 s (depending on the predefined deployment duration) and a vertical resolution of 0.5 m. Based on these data, the tag calculates and stores additional data products such as PAT-style Depth–Temperature profiles (PDT), time at depth data, and time at temperature. After pop-up, the tags transmit user-defined data products and subsets from the recorded data sets. All our tags were configured to transmit the following data products: daily light curves, DepthTS, and PDT. In order to maximize data coverage of the transmitted datasets, we decreased the temporal resolution of the DepthTS and PDT data after the first tagging campaign in 2015 from 150 to 600 s and 6 to 24 h, respectively. For both years, deployment durations were set to 150 and 90 d during spring (April–May) and summer (August–September), respectively. A description of the electronic tagging procedure can be found in Bauer et al. (2020).


Seven tags were physically recovered, providing the complete archived time series data at a resolution of 3–5 s. Nineteen tags provided more than 7 d of complete DepthTS data (i.e. without transmission gaps). Three tags from 2016 had deployment durations of <1 week (#15P0983, #15P0985, and #15P0986) because of hardware failure.


Provided files contain raw tag data (transmitted and recovered datasets) from the Wildlife Computers Data Portal as well as related GPE3 model runs (geolocation estimates).


We thank the crews of the Cyngali and Roussillon Fishing recreational fishing vessels for their cooperation during the tagging cruises. This tagging study was part of the BLUEMED project and funded by the French National Research Agency (ANR; Project-ID ANR-14-ACHN-0002).
DOI: 10.17632/w93czv65vg.1
title: Biomineralization plasticity in mixotrophic giant clam shells from turbid reefs: integrating architecture and chemistry

description: This dataset presents the geochemical .csv data files used in the main body of text in the manuscript 'Biomineralization plasticity in mixotrophic giant clam shells from turbid reefs: integrating architecture and chemistry'. The files associated with this work are: • EPMA data for Mg/Ca: epma_mg.csv • EPMA data for Sr/Ca: epma_sr.csv
DOI: 10.17632/w93czv65vg.2
title: Giant clams modify crystallographic and geochemical pathways of shell formation in response to turbidity

description: This dataset presents the geochemical .csv data files used in the main body of text in the manuscript 'Giant clams modify crystallographic and geochemical pathways of shell formation in response to turbidity '.

 The files associated with this work are:
• EPMA data for Mg/Ca: epma_mg.csv
• EPMA data for Sr/Ca: epma_sr.csv