cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1381134.10fu
title: SH1381134.10FU

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/sh1381135.10fu
title: SH1381135.10FU

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/sh1381137.10fu
title: SH1381137.10FU

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.r7ahvx
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.67080 -41.34924,-28.32920 -41.34924,-28.32920 -11.65076,-102.67080 -11.65076,-102.67080 -41.34924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mostacillastrum orbignyanum"
 ]
}

 The dataset includes 104 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005778-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1381138.10fu
title: SH1381138.10FU

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.8unsxa
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.86069 -48.72792,-37.13931 -48.72792,-37.13931 -23.27208,-100.86069 -23.27208,-100.86069 -48.72792))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mulguraea scoparia"
 ]
}

 The dataset includes 106 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005779-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1381142.10fu
title: SH1381142.10FU

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/sh1381144.10fu
title: SH1381144.10FU

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/sh1381147.10fu
title: SH1381147.10FU

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: 10.71802/bsv9vfx1
title: Minutes

description: RSCVD Steering Committee Minutes of Meetings
DOI: 10.15468/dl.jp6yub
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerebratulus parkeri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017589-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.14856918
title: Seismic waveforms from the Zabargad Fracture Zone, northern Red Sea (November 2021 - November 2022)

description: This dataset contains continuous seismic data from six seismic stations from the temporary ZAFRAN seismic network, deployed in the Zabargad Fracture Zone, northern Red Sea (Parisi et al., 2024) (November 2021 - November 2022). The seismic stations consist of four land based stations (QUMAN, BREEM, KHUF and LAVA) deployed by King Abdullah University of Science and Technology and two ocean bottom seismometers deployed by FUGRO (NORTH and SOUTH).

The data archive consists of:

1) waveform_archive.zip: Continouse seismic waveforms in miniseed format and stored SeisComP3 data structure.

2) metadata.zip: Metadata that contains station coordinates (stations.csv) and instrument response files (RESP.ZF..........).

 

If you use the data, please cite the following papers:

Parisi, L., Augustin, N., Trippanera, D., Kirk, H., Dannowski, A., Matrau, R., Fittipaldi, M., Nobile, A., Zielke, O., Valero Cano, E., Hoogewerf, G., Aspiotis, T., Manzo-Vega, S., Espindola Carmona, A., Barreto, A., Juchem, M., Suhendi, C., Schmidt-Aursch, M., Mai, P. M., & Jónsson, S., 2024. The First Network of Ocean Bottom Seismometers in the Red Sea to Investigate the Zabargad Fracture Zone, Seismica, 3(1). doi: 10.26443/seismica.v3i1.729

Shiddiqi, H.A., Parisi, L., Cano, E.V., Fittipaldi, M., Augustin, N., Baby, G., Mai, P.M., Jonsson, S., 2025, Transform faulting in the northern Red Sea revealed by Ocean Bottom Seismometers deployed in the Zabargad Fracture Zone,  Geochemistry, Geophysics, Geosystems, 26, e2025GC012253. https://doi.org/10.1029/2025GC012253
DOI: 10.5281/zenodo.14856917
title: Seismic waveforms from the Zabargad Fracture Zone, northern Red Sea (November 2021 - November 2022)

description: This dataset contains continuous seismic data from six seismic stations from the temporary ZAFRAN seismic network, deployed in the Zabargad Fracture Zone, northern Red Sea (Parisi et al., 2024) (November 2021 - November 2022). The seismic stations consist of four land based stations (QUMAN, BREEM, KHUF and LAVA) deployed by King Abdullah University of Science and Technology and two ocean bottom seismometers deployed by FUGRO (NORTH and SOUTH).

The data archive consists of:

1) waveform_archive.zip: Continouse seismic waveforms in miniseed format and stored SeisComP3 data structure.

2) metadata.zip: Metadata that contains station coordinates (stations.csv) and instrument response files (RESP.ZF..........).

 

If you use the data, please cite the following papers:

Parisi, L., Augustin, N., Trippanera, D., Kirk, H., Dannowski, A., Matrau, R., Fittipaldi, M., Nobile, A., Zielke, O., Valero Cano, E., Hoogewerf, G., Aspiotis, T., Manzo-Vega, S., Espindola Carmona, A., Barreto, A., Juchem, M., Suhendi, C., Schmidt-Aursch, M., Mai, P. M., & Jónsson, S., 2024. The First Network of Ocean Bottom Seismometers in the Red Sea to Investigate the Zabargad Fracture Zone, Seismica, 3(1). doi: 10.26443/seismica.v3i1.729

Shiddiqi, H.A., Parisi, L., Cano, E.V., Fittipaldi, M., Augustin, N., Baby, G., Mai, P.M., Jonsson, S., 2025, Transform faulting in the northern Red Sea revealed by Ocean Bottom Seismometers deployed in the Zabargad Fracture Zone,  Geochemistry, Geophysics, Geosystems, 26, e2025GC012253. https://doi.org/10.1029/2025GC012253
DOI: 10.15468/dl.3paq5h
title: Occurrence Download

description: A dataset containing 73922 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorDistributionStatus"
 ]
}

 The dataset includes 73922 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017577-251025141854904/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.30426742
title: <b>N</b><b>ovel nucleoside analogs exhibit potent intracellular and </b><b><i>in vivo</i></b><b> activities against </b><b><i>Mycobacterium avium</i></b>

description: The result of RNA sequencing (DEG analysis Data)
DOI: 10.6084/m9.figshare.30426742.v1
title: <b>N</b><b>ovel nucleoside analogs exhibit potent intracellular and </b><b><i>in vivo</i></b><b> activities against </b><b><i>Mycobacterium avium</i></b>

description: The result of RNA sequencing (DEG analysis Data)
DOI: 10.6084/m9.figshare.30426742.v2
title: <b>N</b><b>ovel nucleoside analogs exhibit potent intracellular and </b><b><i>in vivo</i></b><b> activities against </b><b><i>Mycobacterium avium</i></b>

description: The result of RNA sequencing (DEG analysis Data)
DOI: 10.5281/zenodo.17529866
title: DFT and Monte Carlo results for monolayer NiPS3

description: These are results for x-axis spin orientantions in the zigzag phase, within DFT+U for several U
DOI: 10.5281/zenodo.17529865
title: DFT and Monte Carlo results for monolayer NiPS3

description: These are results for x-axis spin orientantions in the zigzag phase, within DFT+U for several U
DOI: 10.5281/zenodo.14843912
title: Relocated Hypocenters and focal mechanisms from Zabargad Fracture Zone, northern Red Sea

description: This dataset contains initial earthquake and relocated earthquake catalogs (relocated using hypoDD) and focal mechanism solutions from  "Transform faulting in the northern Red Sea revealed by Ocean Bottom Seismometers deployed in the Zabargad Fracture Zone by Shiddiqi et al. (2025).

 

If you use the data, please cite the following papers:

Parisi, L., Augustin, N., Trippanera, D., Kirk, H., Dannowski, A., Matrau, R., Fittipaldi, M., Nobile, A., Zielke, O., Valero Cano, E., Hoogewerf, G., Aspiotis, T., Manzo-Vega, S., Espindola Carmona, A., Barreto, A., Juchem, M., Suhendi, C., Schmidt-Aursch, M., Mai, P. M., & Jónsson, S., 2024. The First Network of Ocean Bottom Seismometers in the Red Sea to Investigate the Zabargad Fracture Zone, Seismica, 3(1). doi: 10.26443/seismica.v3i1.729

Shiddiqi, H.A., Parisi, L., Cano, E.V., Fittipaldi, M., Augustin, N., Baby, G., Mai, P.M., Jonsson, S., 2025, Transform faulting in the northern Red Sea revealed by Ocean Bottom Seismometers deployed in the Zabargad Fracture Zone,  Geochemistry, Geophysics, Geosystems, 26, e2025GC012253. https://doi.org/10.1029/2025GC012253
DOI: 10.5281/zenodo.14843913
title: Relocated Hypocenters and focal mechanisms from Zabargad Fracture Zone, northern Red Sea

description: This dataset contains initial earthquake and relocated earthquake catalogs (relocated using hypoDD) and focal mechanism solutions from  "Transform faulting in the northern Red Sea revealed by Ocean Bottom Seismometers deployed in the Zabargad Fracture Zone by Shiddiqi et al. (2025).

 

If you use the data, please cite the following papers:

Parisi, L., Augustin, N., Trippanera, D., Kirk, H., Dannowski, A., Matrau, R., Fittipaldi, M., Nobile, A., Zielke, O., Valero Cano, E., Hoogewerf, G., Aspiotis, T., Manzo-Vega, S., Espindola Carmona, A., Barreto, A., Juchem, M., Suhendi, C., Schmidt-Aursch, M., Mai, P. M., & Jónsson, S., 2024. The First Network of Ocean Bottom Seismometers in the Red Sea to Investigate the Zabargad Fracture Zone, Seismica, 3(1). doi: 10.26443/seismica.v3i1.729

Shiddiqi, H.A., Parisi, L., Cano, E.V., Fittipaldi, M., Augustin, N., Baby, G., Mai, P.M., Jonsson, S., 2025, Transform faulting in the northern Red Sea revealed by Ocean Bottom Seismometers deployed in the Zabargad Fracture Zone,  Geochemistry, Geophysics, Geosystems, 26, e2025GC012253. https://doi.org/10.1029/2025GC012253
DOI: 10.15468/dl.cjk8hn
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((90 -10,125 -10,125 35,90 35,90 -10))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Musa acuminata",
 "Year 1850-2025"
 ]
}

 The dataset includes 394 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017591-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sp8875
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerebratulus profundifissus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017590-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.12788419
title: AnnoPage Dataset

description: AnnoPage Dataset contains pages of mostly historical documents and annotations of non-textual objects, such as images, diagrams, symbols, initials, etc. The dataset contains data mostly from czech written documents downloaded from Digital Library, but it also contains annotations for pages from other already published datasets which are listed below together with links. The provided ZIP archive includes a text file referencing the pages from these datasets. The complete list of the annotated object categories is also listed below. The dataset contains a split into training and testing subsets, the creation of the validation subset is up to the users.

 

The ZIP archive of the provided dataset is organized as follows:





images/ - directory with published 5690 images divided into train and test subdirectories

labels/ - directory with annotations in 7550 text files divided into train and test subdirectories

README.md - README file with the same information as displayed on this website

classes.txt - text file with object categories

dataset.yaml - YAML file with dataset definition

images.txt - text file with references to the 1860 annotated images from other datasets



This dataset was crated within Orbis Pictus – book revival for cultural and creative sectors project.

Extra datasets



illuhisdoc

PRImA Layout Analysis Dataset

PRImA RDCL2019

PRImA Europeana Newspapers

READ-ICDAR2019-cBAD-dataset

TexBiG


Object categories



Chemical formula and equation

Symbol, logo, coat of arms

Exlibris

Photograph

Geometric drawing

Graph

Initial

Caricature and comics

Map

Mathematical expression and equation

Musical notation

Image

Other book decor

Other technical drawing

Decorative inscription

Floor plan

Barcode and QR code

Stamp

Advertisement

Handwritten note

Diagram

Signet

Table

Vignette

Frieze
DOI: 10.5281/zenodo.17531858
title: AnnoPage Dataset

description: AnnoPage Dataset contains pages of mostly historical documents and annotations of non-textual objects, such as images, diagrams, symbols, initials, etc. The dataset contains data mostly from czech written documents downloaded from Digital Library, but it also contains annotations for pages from other already published datasets which are listed below together with links. The provided ZIP archive includes a text file referencing the pages from these datasets. The complete list of the annotated object categories is also listed below. The dataset contains a split into training and testing subsets, the creation of the validation subset is up to the users.

 

The ZIP archive of the provided dataset is organized as follows:





images/ - directory with published 5690 images divided into train and test subdirectories

labels/ - directory with annotations in 7550 text files divided into train and test subdirectories

README.md - README file with the same information as displayed on this website

classes.txt - text file with object categories

dataset.yaml - YAML file with dataset definition

images.txt - text file with references to the 1860 annotated images from other datasets



This dataset was crated within Orbis Pictus – book revival for cultural and creative sectors project.

Extra datasets



illuhisdoc

PRImA Layout Analysis Dataset

PRImA RDCL2019

PRImA Europeana Newspapers

READ-ICDAR2019-cBAD-dataset

TexBiG


Object categories



Chemical formula and equation

Symbol, logo, coat of arms

Exlibris

Photograph

Geometric drawing

Graph

Initial

Caricature and comics

Map

Mathematical expression and equation

Musical notation

Image

Other book decor

Other technical drawing

Decorative inscription

Floor plan

Barcode and QR code

Stamp

Advertisement

Handwritten note

Diagram

Signet

Table

Vignette

Frieze
DOI: 10.15468/dl.ap36j4
title: Occurrence Download

description: A dataset containing 29383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Colostygia multistrigaria"
 ]
}

 The dataset includes 29383 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017593-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4mds8
title: Occurrence Download

description: A dataset containing 35039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nigella damascena"
 ]
}

 The dataset includes 35039 records from 603 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017592-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.