cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0203838.10fu
title: SH0203838.10FU

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/sh0203839.10fu
title: SH0203839.10FU

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/sh0203840.10fu
title: SH0203840.10FU

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/sh0203841.10fu
title: SH0203841.10FU

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/sh0203842.10fu
title: SH0203842.10FU

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/sh0203843.10fu
title: SH0203843.10FU

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/sh0203844.10fu
title: SH0203844.10FU

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/sh0203846.10fu
title: SH0203846.10FU

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/sh0203847.10fu
title: SH0203847.10FU

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/sh0203848.10fu
title: SH0203848.10FU

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.18202081
title: GARAGEM: General Automotive Real and Artificial speech corpus for Garage Environments and Maintenance in brazilian portuguese

description: General Description

This dataset is a collection of audio recordings focused on the automotive workshop domain, consisting of a real dataset extracted from YouTube and two synthetic datasets generated by different text-to-speech APIs. The total dataset contains approximately 34 hours of audio.

Dataset Structure

The dataset is organized into three main subsets:

1. YouTube Dataset (Real)

Contains 4,412 audio segments (9 hours and 45 minutes) extracted from YouTube channels focused on automotive workshop topics.

Split:- Training: 3,121 segments (6 hours and 51 minutes)- Test: 1,291 segments (2 hours and 54 minutes)

Metadata Files:- train_metadata_youtube.csv- test_metadata_youtube.csv

Metadata columns:- url: YouTube video URL- start_timestamp: Segment start time- end_timestamp: Segment end time- human_transcription: Human-annotated transcription

2. Google Cloud Dataset (Synthetic)

Contains 6,367 synthetic audio segments (11 hours and 15 minutes) generated by Google Cloud API.

Format: WAV, 16 KHz

Metadata File:- metadata_google_cloud.csv

Metadata columns:- audio_filename: Audio file- transcription: Transcription used to generate the audio- speaker: Speaker voice defined in generation configuration

3. Gemini Dataset (Synthetic)

Contains 6,367 synthetic audio segments (12 hours and 49 minutes) generated by Google API with Gemini assistance.

Format: WAV, 16 KHz

Metadata File:- metadata_gemini.csv

Metadata columns:- audio_filename: Audio file- transcription: Transcription used to generate the audio- speaker: Speaker voice defined in generation configuration

Automotive Domain Dictionary

The dataset includes a dictionary file (`dictionary.csv`) containing automotive workshop terminology used for generating synthetic sentences.

File: dictionary.csv

Columns:- term: Automotive workshop term- meaning: Definition of the term (when necessary to assist in generation)- source: Term category

Term Distribution:- Automotive parts: 330 terms- Generic term: 142 terms- Car model: 136 terms- Automotive brands: 113 terms

Total terms: 721

This dictionary was used as the basis for generating the synthetic sentences present in the dataset, ensuring domain-specific vocabulary coverage.

File Organization

```garagem_v1/├── dictionary.csv├── youtube/│   ├── train_metadata_youtube.csv│   └── test_metadata_youtube.csv├── google_cloud/│   ├── audios_google_cloud/│   └── metadata_google_cloud.csv└── gemini/    ├── audios_gemini/    └── metadata_gemini.csv```

Technical Specifications

Audio Format (Synthetic Datasets):- Format: WAV- Sample Rate: 16 KHz

Metadata File Format:- Format: CSV- Encoding: UTF-8

Recommended Use

This dataset is suitable for:- Training automatic speech recognition (ASR) models- Research in speech processing in the automotive workshop domain- Comparing real and synthetic data- Domain-specific vocabulary analysis

Citation

If you use this dataset in your research, please cite appropriately.

License

Creative Commons Attribution 4.0 International
DOI: 10.6084/m9.figshare.25910174
title: Additional file 2 of The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches

description: Additional file 2.
DOI: 10.6084/m9.figshare.25910174.v1
title: Additional file 2 of The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches

description: Additional file 2.
DOI: 10.6084/m9.figshare.26726303
title: Additional file 3 of The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches

description: Additional file 3.
DOI: 10.6084/m9.figshare.26726303.v1
title: Additional file 3 of The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches

description: Additional file 3.
DOI: 10.6084/m9.figshare.25909936
title: Additional file 1 of Impact of squat set configuration on mechanical performance in paired sets of upper-body exercises

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25909936.v1
title: Additional file 1 of Impact of squat set configuration on mechanical performance in paired sets of upper-body exercises

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25918926
title: Additional file 1 of Blood metabolites and chronic kidney disease: a Mendelian randomization study

description: Supplementary Material.
DOI: 10.6084/m9.figshare.25918926.v1
title: Additional file 1 of Blood metabolites and chronic kidney disease: a Mendelian randomization study

description: Supplementary Material.
DOI: 10.6084/m9.figshare.26726477
title: Additional file 9 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.26726477.v1
title: Additional file 9 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.26726480
title: Additional file 10 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.26726480.v1
title: Additional file 10 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.26726483
title: Additional file 11 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 11
DOI: 10.6084/m9.figshare.26726483.v1
title: Additional file 11 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 11
DOI: 10.6084/m9.figshare.26726486
title: Additional file 12 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 12
DOI: 10.6084/m9.figshare.26726486.v1
title: Additional file 12 of Single-cell RNA sequencing reveals the evolution of the immune landscape during perihematomal edema progression after intracerebral hemorrhage

description: Supplementary Material 12
DOI: 10.6084/m9.figshare.25919010
title: Additional file 1 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25919010.v1
title: Additional file 1 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25919073
title: Additional file 2 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.25919073.v1
title: Additional file 2 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26726564
title: Additional file 3 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26726564.v1
title: Additional file 3 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26726567
title: Additional file 4 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26726567.v1
title: Additional file 4 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26726570
title: Additional file 5 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26726570.v1
title: Additional file 5 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26726573
title: Additional file 6 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26726573.v1
title: Additional file 6 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26726576
title: Additional file 7 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.26726576.v1
title: Additional file 7 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.26726579
title: Additional file 8 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 8
DOI: 10.5283/epub.76927
title: Data archive of 'Ultrafast Exciton Dynamics in the Atomically Thin van der Waals Magnet CrSBr'
DOI: 10.15468/dl.zahg4t
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miconia calophylla (D.Don) Triana"
 ]
}

 The dataset includes 85 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017193-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/22hb3y
title: A cool-water bryozoan association from the La Pola Formation (Sandbian, Ordovician) of Argentine Precordillera

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ernst, Andrej, Carrera, Marcelo G. (2022): A cool-water bryozoan association from the La Pola Formation (Sandbian, Ordovician) of Argentine Precordillera. Geodiversitas 44 (20): 563-601, DOI: 10.5252/geodiversitas2022v44a20ABSTRACTNineteen bryozoan species belonging to 18 genera are described from the La Pola Formation (Sandbian, Upper Ordovician) of Argentine Precordillera. Two trepostome genera each with one new species, respectively, are new: Albardonia bifoliata n. gen., n. sp. and Argentinopora robusta n. gen., n. sp. Five more species are new: a cystoporate Xenotrypa argentinensis n. sp., two trepostomes Heterotrypa enodis n. sp. and Nicholsonella spinigera n. sp., as well as two ptilodictyines Pseudostictoporella simplex n. sp. and Chazydictya ornata n. sp. The studied fauna shows some connection with Laurentia and Baltica on the species level and is similar to Siberia on the generic level. Furthermore, the generic composition of the La Pola fauna is similar to contemporary faunas of Las Aguaditas and Las Plantas formations of the Argentine Precordillera. The described fauna comes from mixed carbonate-siliciclastic deposits and represents a largely para-autochthonous association, with few autochthonous elements.The bryozoan growth forms indicate shallow shelf conditions. Bryozoans are associated with brachiopods, red algae, and echinoderms indicating heterozoan community typical for temperate to cool water environments with high primary production.MOTS CLÉSOrdovicien,Sandbien,environnement d’eaufroide,Bryozoa,paléogéographie,paléoécologie,genres nouveaux,espèces nouvelles.
DOI: 10.15468/dl.57pv9t
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onychodactylus zhaoermii"
 ]
}

 The dataset includes 101 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067053-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.