cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1046194.10fu
title: SH1046194.10FU

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/sh1046198.10fu
title: SH1046198.10FU

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/sh1046199.10fu
title: SH1046199.10FU

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/sh1046200.10fu
title: SH1046200.10FU

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/sh1046206.10fu
title: SH1046206.10FU

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/sh1046207.10fu
title: SH1046207.10FU

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/sh1046208.10fu
title: SH1046208.10FU

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/sh1046210.10fu
title: SH1046210.10FU

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/sh1046211.10fu
title: SH1046211.10FU

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: 10.15468/dl.9xdnjj
title: Occurrence Download

description: A dataset containing 5170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Comoros"
 ]
}

 The dataset includes 5170 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058237-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17287445
title: Sex-specific division of labor in termites is linked to differential brain architecture and foraging gene expression

description: Dataset filled with data from behavioral bioassays and RT-qPCR experiments for the following study: Differential brain architecture and foraging gene expression are linked with sex-specific division of labor in a litter-feeding termite
DOI: 10.15468/dl.zbb7ju
title: Occurrence Download

description: A dataset containing 157876 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strix uralensis"
 ]
}

 The dataset includes 157876 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058178-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3091343/2557883
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3091344/2557884
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3091345/2557885
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3091346/2557886
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3091347/2557887
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25345/c5dn40789
title: MassIVE MSV000097660 - Utilizing BAR to study protein-protein interactions in subunit hepatitis C vaccine
title: Hepatitis C Virus (HCV) is a bloodborne virus that affects 70 million people globally with infections that can often go unnoticed, thus motivating the development of an HCV vaccine. While prior work has developed secreted E1E2 (sE1E2) protein vaccines, efforts to express it recombinantly have resulted in very low titers. To address this challenge, here we employed a multi-omics approach to identify protein interactors that enhance the secretion of sE1E2. By detecting Protein-Protein Interactions (PPIs) using Biotinylation by Antibody Recognition (BAR) and integrating the data with RNA-Seq, we identified proteins within the secretory pathway that interact with sE1E2 and validated their impact by overexpressing the interacting proteins. Among these, CUL4A and YWHAH significantly enhanced sE1E2 secretion in geCHO cells. The integration of omics techniques and genetic engineering in this study provides valuable insights into improving protein secretion in CHO cells, paving the way for the development of more affordable and accessible biotherapeutics.
DOI: 10.25582/data.2024-04.3091348/2557888
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3091351/2557889
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.d3x4ra
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 1060.0-1000000.0",
 "Geometry POLYGON((-132.03303 11.98807,-50.57982 11.98807,-50.57982 55.99908,-132.03303 55.99908,-132.03303 11.98807))",
 "TaxonKey is Triadica sebifera (L.) Small"
 ]
}

 The dataset includes 1016 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018181-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr4vbj
title: Occurrence Download

description: A dataset containing 538874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinaster Aiton",
 "HasCoordinate is true"
 ]
}

 The dataset includes 538874 records from 792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018168-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3k3n8b
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073598-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15802757
title: Data of Parental Knowledge and Acceptance of HPV Vaccine in Rabigh's School, Saudi Arabia.

description: This dataset contains survey responses collected from 261 parents participating in a school-based HPV vaccination program in Rabigh, Saudi Arabia. The data captures:



Demographic variables

Parental knowledge about the HPV vaccine

Vaccine acceptance and factors influencing decision-making

Parental preparedness and willingness to vaccinate their children


Data were collected using a structured online questionnaire and entered SPSS for analysis. This dataset supports research on public health education, vaccine uptake, and immunization program effectiveness in the region.
DOI: 10.5281/zenodo.15802758
title: Data of Parental Knowledge and Acceptance of HPV Vaccine in Rabigh's School, Saudi Arabia.

description: This dataset contains survey responses collected from 261 parents participating in a school-based HPV vaccination program in Rabigh, Saudi Arabia. The data captures:



Demographic variables

Parental knowledge about the HPV vaccine

Vaccine acceptance and factors influencing decision-making

Parental preparedness and willingness to vaccinate their children


Data were collected using a structured online questionnaire and entered SPSS for analysis. This dataset supports research on public health education, vaccine uptake, and immunization program effectiveness in the region.
DOI: 10.15468/dl.f893wg
title: Occurrence Download

description: A dataset containing 1033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia mnestra",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 1033 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073599-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18148155
title: Database_study_Neurofunctional speech therapy and transcranial direct current stimulation in children with Rubinstein-Taybi Syndrome_9 cases

description: This dataset comprises anonymized data from a case series of nine children diagnosed with Rubinstein–Taybi Syndrome who underwent a neurofunctional speech therapy intervention combined with transcranial direct current stimulation (tDCS).

The dataset includes clinical, functional, and therapeutic outcome measures collected before and after the intervention, aiming to explore the feasibility, safety, and potential effects of combining neurofunctional speech therapy with non-invasive brain stimulation on communication-related outcomes in this population.

This study received approval from the Human Research Ethics Committee (opinion no. 7,241,032; protocol: 76519423.7.0000.5479), in accordance with Resolution No. 466/2012 of the Brazilian National Board of Health, and was registered in the Brazilian Registry of Clinical Trials (ReBEC). All procedures were conducted in a controlled clinical environment. Legal guardians provided written informed consent, and children provided assent when applicable.

All personal identifiers were fully removed, and the data are presented in an anonymized format to ensure participant confidentiality.

This dataset is intended to support transparency, reproducibility, and secondary analyses in the fields of neurofunctional rehabilitation, speech therapy, pediatric neurodevelopmental disorders, and non-invasive brain stimulation. The data may be reused for research, educational, and methodological purposes, provided appropriate citation and adherence to ethical principles.
DOI: 10.5281/zenodo.18148154
title: Database_study_Neurofunctional speech therapy and transcranial direct current stimulation in children with Rubinstein-Taybi Syndrome_9 cases

description: This dataset comprises anonymized data from a case series of nine children diagnosed with Rubinstein–Taybi Syndrome who underwent a neurofunctional speech therapy intervention combined with transcranial direct current stimulation (tDCS).

The dataset includes clinical, functional, and therapeutic outcome measures collected before and after the intervention, aiming to explore the feasibility, safety, and potential effects of combining neurofunctional speech therapy with non-invasive brain stimulation on communication-related outcomes in this population.

This study received approval from the Human Research Ethics Committee (opinion no. 7,241,032; protocol: 76519423.7.0000.5479), in accordance with Resolution No. 466/2012 of the Brazilian National Board of Health, and was registered in the Brazilian Registry of Clinical Trials (ReBEC). All procedures were conducted in a controlled clinical environment. Legal guardians provided written informed consent, and children provided assent when applicable.

All personal identifiers were fully removed, and the data are presented in an anonymized format to ensure participant confidentiality.

This dataset is intended to support transparency, reproducibility, and secondary analyses in the fields of neurofunctional rehabilitation, speech therapy, pediatric neurodevelopmental disorders, and non-invasive brain stimulation. The data may be reused for research, educational, and methodological purposes, provided appropriate citation and adherence to ethical principles.
DOI: 10.15468/dl.ej7ysd
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073602-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4graag
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia epistygne",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 937 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073606-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enzgcf
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073607-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t467ux
title: Occurrence Download

description: A dataset containing 179958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum catharticum)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179958 records from 1072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073592-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14394750
title: Indonesian Hoax News Dataset
DOI: 10.25919/6w42-p514
title: Parkes observations for project PX500 semester 2025OCTS_16

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.