cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1397770.10fu
title: SH1397770.10FU

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/sh1397772.10fu
title: SH1397772.10FU

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/sh1397778.10fu
title: SH1397778.10FU

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/sh1397779.10fu
title: SH1397779.10FU

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/sh1397786.10fu
title: SH1397786.10FU

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/sh1397787.10fu
title: SH1397787.10FU

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/sh1397789.10fu
title: SH1397789.10FU

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/sh1397790.10fu
title: SH1397790.10FU

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.17975074
title: Agridatavalue Stones and Pome Fruit Trees Phenology, Oriental fruit moth and Anarsia lineatella

description: This dataset consolidates monitoring data from Ref Fara control plots for stone fruit (stone fruits: peaches, apricots, cherries, plums; scientifically: drupes) and pome fruit (pome fruits: apples, pears, quinces) in Aragón, Spain. It integrates plot‑level phenology observations with pest monitoring for Anarsia lineatella (peach twig borer) and Oriental fruit fly (Bactrocera dorsalis), and links these records to meteorological data from the SIAR (Agricultural Information System of Irrigation) and AEMET (Spanish State Meteorological Agency) station networks. An additional spatial file provides the cultivation zones to enable geospatial analyses.



The dataset is stored in PKL format, which allows saving processed datasets in a serialized form and loading them efficiently for model training. This approach ensures that data preprocessing steps do not need to be repeated, reducing computational overhead and facilitating reproducible workflows. A more detailed description of the dataset structure and contents will be provided shortly.
DOI: 10.5281/zenodo.17975075
title: Agridatavalue Stones and Pome Fruit Trees Phenology, Oriental fruit moth and Anarsia lineatella

description: This dataset consolidates monitoring data from Ref Fara control plots for stone fruit (stone fruits: peaches, apricots, cherries, plums; scientifically: drupes) and pome fruit (pome fruits: apples, pears, quinces) in Aragón, Spain. It integrates plot‑level phenology observations with pest monitoring for Anarsia lineatella (peach twig borer) and Oriental fruit fly (Bactrocera dorsalis), and links these records to meteorological data from the SIAR (Agricultural Information System of Irrigation) and AEMET (Spanish State Meteorological Agency) station networks. An additional spatial file provides the cultivation zones to enable geospatial analyses.



The dataset is stored in PKL format, which allows saving processed datasets in a serialized form and loading them efficiently for model training. This approach ensures that data preprocessing steps do not need to be repeated, reducing computational overhead and facilitating reproducible workflows. A more detailed description of the dataset structure and contents will be provided shortly.
DOI: 10.15156/bio/sh1397791.10fu
title: SH1397791.10FU

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/sh1397792.10fu
title: SH1397792.10FU

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.16083091
title: Frameshifts in Tandem Repeats: Consequences on Protein Physicochemical Properties and Function

description: In this Supplementary Data, we provide 50 species reference proteome sequences and their corresponding frameshifted sequences in .fasta format in the folders reference and frameshifted. The list of proteome accessions is shown in the file proteome_list.csv.

 

Raw data of repeat region predictions with the MRF tool are provided in files MRF_reference.csv and MRF_frameshifted.csv. Intrinsically disordered region prediction by the IUPred tool overlapped with repeat region prediction of the MRF tool for reference proteomes, and their frameshifted sequences are provided in files overlap_IUPred_reference.csv and overlap_IUPred_frameshifted.csv, respectively.

 

Description of column headers in the MRF_frameshifted.csv and MRF_reference.csv files is below:

Proteome_id - UniProtKB accession number of the proteome

id - RefSeq/Ensembl ID of sequence/cDNA with custom extension. For example, the identifier NP_001245494.2_ORF-F-1_0-3832_3833 is structured as follows:





NP_001245494.2 refers to the RefSeq ID,




ORF indicates the open reading frame,




F-1 shows the reading frame (with 1 representing the reference frame),




0–3832 specifies the start and end positions of the sequence,




3833 indicates the total sequence length 




In frameshifted sequences, the format remains consistent, but the frame is indicated as F-2 or F-3, corresponding to frame -1 or +1, respectively. For instance, NP_001245494.2_ORF-F-2_720-801_82 refers to a region in the -1 frameshift.



start - start position of repeat region

end - start position of repeat region

repeat_len - length of repeat unit

repeat_no - number of repeat units

Description of column headers in the overlap_IUPred_reference.csv and  overlap_IUPred_frameshifted.csv is below:

Proteome_id - UniProtKB accession number of the proteome

ID - RefSeq/Ensembl ID of sequence/cDNA with custom extension

mrf_start - start position of repeat region

mrf_end - start position of repeat region

repeat_len - length of repeat unit

repeat_no- number of repeat units

iupred_start - start position of intrinsically disordered region

Iupred_end - end position of intrinsically disordered region

overlap_length - length of repeat region overlap with intrinsically disordered region

overlap_start - start position of repeat region overlaps with intrinsically disordered region

overlap_end - start position of repeat region overlaps with intrinsically disordered region
DOI: 10.5281/zenodo.16083092
title: Frameshifts in Tandem Repeats: Consequences on Protein Physicochemical Properties and Function

description: In this Supplementary Data, we provide 50 species reference proteome sequences and their corresponding frameshifted sequences in .fasta format in the folders reference and frameshifted. The list of proteome accessions is shown in the file proteome_list.csv.

 

Raw data of repeat region predictions with the MRF tool are provided in files MRF_reference.csv and MRF_frameshifted.csv. Intrinsically disordered region prediction by the IUPred tool overlapped with repeat region prediction of the MRF tool for reference proteomes, and their frameshifted sequences are provided in files overlap_IUPred_reference.csv and overlap_IUPred_frameshifted.csv, respectively.

 

Description of column headers in the MRF_frameshifted.csv and MRF_reference.csv files is below:

Proteome_id - UniProtKB accession number of the proteome

id - RefSeq/Ensembl ID of sequence/cDNA with custom extension. For example, the identifier NP_001245494.2_ORF-F-1_0-3832_3833 is structured as follows:





NP_001245494.2 refers to the RefSeq ID,




ORF indicates the open reading frame,




F-1 shows the reading frame (with 1 representing the reference frame),




0–3832 specifies the start and end positions of the sequence,




3833 indicates the total sequence length 




In frameshifted sequences, the format remains consistent, but the frame is indicated as F-2 or F-3, corresponding to frame -1 or +1, respectively. For instance, NP_001245494.2_ORF-F-2_720-801_82 refers to a region in the -1 frameshift.



start - start position of repeat region

end - start position of repeat region

repeat_len - length of repeat unit

repeat_no - number of repeat units

Description of column headers in the overlap_IUPred_reference.csv and  overlap_IUPred_frameshifted.csv is below:

Proteome_id - UniProtKB accession number of the proteome

ID - RefSeq/Ensembl ID of sequence/cDNA with custom extension

mrf_start - start position of repeat region

mrf_end - start position of repeat region

repeat_len - length of repeat unit

repeat_no- number of repeat units

iupred_start - start position of intrinsically disordered region

Iupred_end - end position of intrinsically disordered region

overlap_length - length of repeat region overlap with intrinsically disordered region

overlap_start - start position of repeat region overlaps with intrinsically disordered region

overlap_end - start position of repeat region overlaps with intrinsically disordered region
DOI: 10.15468/dl.xknskz
title: Occurrence Download

description: A dataset containing 131574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenanthe chrysopygia, Oenanthe cypriaca, Oenanthe deserti, Oenanthe finschii, Oenanthe hispanica, Oenanthe isabellina, Oenanthe leucopyga, Oenanthe leucura, Oenanthe lugens, Oenanthe lugentoides, Oenanthe melanura, Oenanthe moesta, Oenanthe monacha, Oenanthe pleschanka, Oenanthe seebohmi, Oenanthe xanthoprymna, Onychognathus tristramii, Oriolus oriolus, Otis tarda, Otus brucei, Otus cyprius, Otus scops, Oxyura leucocephala)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "DecimalLatitude is greater than 0",
 "DecimalLatitude is less than 75",
 "DecimalLongitude is greater than -50",
 "DecimalLongitude is less than 50",
 "CoordinateUncertaintyInMeters is less than 5000",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 131574 records from 1317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005726-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15845757
title: Data Package: Task 7.4 - Interview transcripts and notes - Georgia, Iraq, Nigeria - Post-return realities

description: The package contains transcripts and summaries resulting from 33 semi-structured interviews conducted with Georgian, Iraqi, Nigerian, EU as well as EU MS stakeholders. Most interviews were conducted face-to-face, between June 2024 and May 2025. All the data is made available in English. Stakeholders include government officials from the studied countries as well as from the EU, local NGO active in the field of reintegration support and academics specialising on the issue. The interviews analyse the characteristics, conditions and policy asociated with return and reintegration of returnees from EU MS in three distinct geographical contexts: Georgia, Iraq and Nigeria. . Data is saved in a .docx format and weighs approximately 3MB in total.
DOI: 10.5281/zenodo.15845758
title: Data Package: Task 7.4 - Interview transcripts and notes - Georgia, Iraq, Nigeria - Post-return realities

description: The package contains transcripts and summaries resulting from 33 semi-structured interviews conducted with Georgian, Iraqi, Nigerian, EU as well as EU MS stakeholders. Most interviews were conducted face-to-face, between June 2024 and May 2025. All the data is made available in English. Stakeholders include government officials from the studied countries as well as from the EU, local NGO active in the field of reintegration support and academics specialising on the issue. The interviews analyse the characteristics, conditions and policy asociated with return and reintegration of returnees from EU MS in three distinct geographical contexts: Georgia, Iraq and Nigeria. . Data is saved in a .docx format and weighs approximately 3MB in total.
DOI: 10.34885/0yex-xv26
title: World Checklist of Vascular Plants (WCVP) – v13 21st May 2024.

description: Kew, UK
DOI: 10.15468/dl.b3mt2t
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplotaxis griffithii"
 ]
}

 The dataset includes 118 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005756-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cga5rr
title: Occurrence Download

description: A dataset containing 3291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calystegia hederacea"
 ]
}

 The dataset includes 3291 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005758-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gy65c
title: Occurrence Download

description: A dataset containing 23035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia cracca",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23035 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005759-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/84j-anh-w81
title: Puccinia bornmuelleri Magnus

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.34740/kaggle/dsv/12506284
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.5gx37m
title: Occurrence Download

description: A dataset containing 8114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia cracca",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8114 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005760-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.