cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pwfx7p
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-97.5554216999999966 35.4678828999999993, -97.5554216999999966 35.4696133799999984, -97.5554216999999966 35.4718846399999990, -97.5554216999999966 35.4731825000000001, -97.5554216999999966 35.4746966700000002, -97.5554216999999966 35.4767516100000009, -97.5554216999999966 35.4786983999999990, -97.5526102400000070 35.4786983999999990, -97.5499069300000059 35.4786983999999990, -97.5466629499999982 35.4786983999999990, -97.5446084400000046 35.4786983999999990, -97.5430945899999955 35.4786983999999990, -97.5404994099999954 35.4786983999999990, -97.5388774000000041 35.4786983999999990, -97.5388774000000041 35.4766434599999982, -97.5388774000000041 35.4746966700000002, -97.5388774000000041 35.4735069600000017, -97.5388774000000041 35.4710194000000030, -97.5388774000000041 35.4695052300000029, -97.5388774000000041 35.4678828999999993, -97.5419051300000035 35.4678828999999993, -97.5437433799999951 35.4678828999999993, -97.5457978999999966 35.4678828999999993, -97.5483930700000030 35.4678828999999993, -97.5506638500000065 35.4678828999999993, -97.5527183699999938 35.4678828999999993, -97.5554216999999966 35.4678828999999993))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 74 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101694-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8g3rb
title: Occurrence Download

description: A dataset containing 14215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa pouzinii Tratt."
 ]
}

 The dataset includes 14215 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031966-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kkd9u
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bivetiella similis (G.B.Sowerby I, 1833)"
 ]
}

 The dataset includes 211 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079331-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzyd48
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phacelia infundibuliformis Torr."
 ]
}

 The dataset includes 58 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072084-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfqztp
title: Occurrence Download

description: A dataset containing 5576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-79.8161355999999955 36.0754643000000002, -79.8161355999999955 36.0802117599999974, -79.8161355999999955 36.0829811199999995, -79.8161355999999955 36.0865417199999996, -79.8161355999999955 36.0891132599999978, -79.8161355999999955 36.0928716700000010, -79.8161355999999955 36.0952454000000031, -79.8100207899999958 36.0952454000000031, -79.8050899499999957 36.0952454000000031, -79.7993701799999968 36.0952454000000031, -79.7948338100000001 36.0952454000000031, -79.7922697799999980 36.0952454000000031, -79.7869438999999971 36.0952454000000031, -79.7869438999999971 36.0904979399999988, -79.7869438999999971 36.0875307700000008, -79.7869438999999971 36.0845636099999965, -79.7869438999999971 36.0812008199999994, -79.7869438999999971 36.0778380300000023, -79.7869438999999971 36.0754643000000002, -79.7928614799999991 36.0754643000000002, -79.7972006100000044 36.0754643000000002, -79.8005535799999990 36.0754643000000002, -79.8050899499999957 36.0754643000000002, -79.8078512200000034 36.0754643000000002, -79.8114014199999957 36.0754643000000002, -79.8161355999999955 36.0754643000000002))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 5576 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079341-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh6h63
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phacelia ivesiana Torr."
 ]
}

 The dataset includes 709 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072096-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htr8wv
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.2032300000000049 37.7637333999999996, -122.2032300000000049 37.7646035400000031, -122.2032300000000049 37.7655979900000034, -122.2032300000000049 37.7671518200000023, -122.2032300000000049 37.7682084200000006, -122.2032300000000049 37.7690164099999990, -122.2032300000000049 37.7699487000000005, -122.2012435000000039 37.7699487000000005, -122.1996295400000037 37.7699487000000005, -122.1983880300000038 37.7699487000000005, -122.1970223699999991 37.7699487000000005, -122.1960912299999933 37.7699487000000005, -122.1947255700000028 37.7699487000000005, -122.1935461399999951 37.7699487000000005, -122.1926770000000033 37.7699487000000005, -122.1926770000000033 37.7689542500000002, -122.1926770000000033 37.7674625800000001, -122.1926770000000033 37.7659087600000021, -122.1926770000000033 37.7645413899999980, -122.1926770000000033 37.7637333999999996, -122.1937323599999985 37.7637333999999996, -122.1949738699999983 37.7637333999999996, -122.1958429299999978 37.7637333999999996, -122.1970223699999991 37.7637333999999996, -122.1985742600000009 37.7637333999999996, -122.1996295400000037 37.7637333999999996, -122.2008710500000035 37.7637333999999996, -122.2018642599999936 37.7637333999999996, -122.2032300000000049 37.7637333999999996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079356-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bunsq
title: Occurrence Download

description: A dataset containing 186869 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio inaequidens DC."
 ]
}

 The dataset includes 186869 records from 819 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038037-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26726579.v1
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: 10.6084/m9.figshare.26726582
title: Additional file 9 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.26726582.v1
title: Additional file 9 of Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer’s disease

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.25919074
title: Additional file 2 of Reproductive isolation arises during laboratory adaptation to a novel hot environment

description: Additional file 2: Table S1. Genes significantly diverged across evolutionary replicates. edgeR output table for the test among evolutionary replicates.
DOI: 10.6084/m9.figshare.25919074.v1
title: Additional file 2 of Reproductive isolation arises during laboratory adaptation to a novel hot environment

description: Additional file 2: Table S1. Genes significantly diverged across evolutionary replicates. edgeR output table for the test among evolutionary replicates.
DOI: 10.6084/m9.figshare.26726606
title: Additional file 3 of Reproductive isolation arises during laboratory adaptation to a novel hot environment

description: Additional file 3: Table S2. Gene ontology (GO) enrichment analysis for the significantly diverged across evolutionary replicates. topGO output table with the weight01 algorithm for 3,062 significantly diverged genes among evolutionary replicates.
DOI: 10.6084/m9.figshare.26726606.v1
title: Additional file 3 of Reproductive isolation arises during laboratory adaptation to a novel hot environment

description: Additional file 3: Table S2. Gene ontology (GO) enrichment analysis for the significantly diverged across evolutionary replicates. topGO output table with the weight01 algorithm for 3,062 significantly diverged genes among evolutionary replicates.
DOI: 10.6084/m9.figshare.25918988
title: Additional file 1 of Generalizable transcriptome-based tumor malignant level evaluation and molecular subtyping towards precision oncology

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25918988.v1
title: Additional file 1 of Generalizable transcriptome-based tumor malignant level evaluation and molecular subtyping towards precision oncology

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25919079
title: Additional file 2 of ePRINT: exonuclease assisted mapping of protein-RNA interactions

description: Additional file 2. Supplementary data file as a single excel worksheet with four tabs labelled: eprint vs FUS gene targets, FUS siRNA vs ctrl siRNA DEG, Unknown kmer enrich FUSeprint, MN vs MNP RBP DEG.
DOI: 10.6084/m9.figshare.25919079.v1
title: Additional file 2 of ePRINT: exonuclease assisted mapping of protein-RNA interactions

description: Additional file 2. Supplementary data file as a single excel worksheet with four tabs labelled: eprint vs FUS gene targets, FUS siRNA vs ctrl siRNA DEG, Unknown kmer enrich FUSeprint, MN vs MNP RBP DEG.
DOI: 10.6084/m9.figshare.25918866
title: Additional file 1 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 1: Table S1
DOI: 10.6084/m9.figshare.25918866.v1
title: Additional file 1 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 1: Table S1
DOI: 10.6084/m9.figshare.25919083.v1
title: Additional file 2 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 2: Table S2
DOI: 10.6084/m9.figshare.25919083
title: Additional file 2 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 2: Table S2
DOI: 10.6084/m9.figshare.26726651
title: Additional file 3 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 3: Table S3
DOI: 10.6084/m9.figshare.26726651.v1
title: Additional file 3 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 3: Table S3
DOI: 10.6084/m9.figshare.26726654
title: Additional file 4 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 4: Table S4
DOI: 10.6084/m9.figshare.26726654.v1
title: Additional file 4 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 4: Table S4
DOI: 10.6084/m9.figshare.26726657
title: Additional file 5 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 5: Table S5
DOI: 10.6084/m9.figshare.26726657.v1
title: Additional file 5 of Causal effect between gut microbiota and metabolic syndrome in European population: a bidirectional mendelian randomization study

description: Supplementary Material 5: Table S5
DOI: 10.6084/m9.figshare.25919089
title: Additional file 2 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 2. An Excel file showing a genomic comparison of A. tubingensis CBS 134.48 (annotation, Asptu1) with A. tubingensis DJU120, model gene IDs and distribution of model gene IDs as highly aligned, mid aligned and low aligned in the two genomes.
DOI: 10.6084/m9.figshare.25919089.v1
title: Additional file 2 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 2. An Excel file showing a genomic comparison of A. tubingensis CBS 134.48 (annotation, Asptu1) with A. tubingensis DJU120, model gene IDs and distribution of model gene IDs as highly aligned, mid aligned and low aligned in the two genomes.
DOI: 10.6084/m9.figshare.26726687
title: Additional file 3 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 3. An Excel file showing the reactions removed from the draft model due to low sequence similarity, generation of dead-end metabolites, absence of cofactors, generic reactions, no literature evidence or repetition.
DOI: 10.6084/m9.figshare.26726687.v1
title: Additional file 3 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 3. An Excel file showing the reactions removed from the draft model due to low sequence similarity, generation of dead-end metabolites, absence of cofactors, generic reactions, no literature evidence or repetition.
DOI: 10.6084/m9.figshare.26726690
title: Additional file 4 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 4. An Excel file containing the phenotypic microarray (Biolog plate) data for DJU120, a list of new C-sources added to the model based on the data, and phenotypic differences between A. tubingensis DJU120 and A. niger on the Biolog plates.
DOI: 10.6084/m9.figshare.26726690.v1
title: Additional file 4 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 4. An Excel file containing the phenotypic microarray (Biolog plate) data for DJU120, a list of new C-sources added to the model based on the data, and phenotypic differences between A. tubingensis DJU120 and A. niger on the Biolog plates.
DOI: 10.6084/m9.figshare.26726693
title: Additional file 5 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 5. An Excel file of the model containing model compartments, reactions, genes and metabolites.
DOI: 10.6084/m9.figshare.26726693.v1
title: Additional file 5 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 5. An Excel file of the model containing model compartments, reactions, genes and metabolites.
DOI: 10.6084/m9.figshare.26726696.v1
title: Additional file 6 of Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus

description: Additional file 6. The model in SBML format.
DOI: 10.15156/bio/sh0203849.10fu
title: SH0203849.10FU

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.18202080
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: 10.15156/bio/sh0203850.10fu
title: SH0203850.10FU

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/sh0203851.10fu
title: SH0203851.10FU

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.