cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0170339.10fu
title: SH0170339.10FU

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/sh0170340.10fu
title: SH0170340.10FU

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/sh0170341.10fu
title: SH0170341.10FU

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.nvq254
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((74.98611699999999 20.435031, 74.911169 20.429455, 74.838081 20.412864, 74.768669 20.385672, 74.704652 20.348552, 74.647614 20.302426, 74.598962 20.248436, 74.55989 20.187919, 74.531353 20.122372, 74.514043 20.053413, 74.50837199999999 19.982744, 74.514464 19.912107, 74.53215299999999 19.843238, 74.560991 19.77783, 74.600256 19.717489, 74.648976 19.663695, 74.70594699999999 19.617764, 74.76977100000001 19.58082, 74.838882 19.553768, 74.91158900000001 19.537267, 74.98611699999999 19.531722, 75.06064499999999 19.537267, 75.133352 19.553768, 75.20246299999999 19.58082, 75.26628700000001 19.617764, 75.323258 19.663695, 75.371978 19.717489, 75.411243 19.77783, 75.44008100000001 19.843238, 75.45777 19.912107, 75.46386200000001 19.982744, 75.458191 20.053413, 75.440881 20.122372, 75.412344 20.187919, 75.373272 20.248436, 75.32462 20.302426, 75.267582 20.348552, 75.203565 20.385672, 75.134153 20.412864, 75.061065 20.429455, 74.98611699999999 20.435031))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001391-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0170342.10fu
title: SH0170342.10FU

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/sh0170343.10fu
title: SH0170343.10FU

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/sh0170344.10fu
title: SH0170344.10FU

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/sh0170345.10fu
title: SH0170345.10FU

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/sh0170346.10fu
title: SH0170346.10FU

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.18197469
title: Dataset of young deer (IRT images)

description: After data augmentation, the dataset contains 29,194 images with annotations in the MS COCO format for the monitored classes “animal” and “person”. The total number of objects belonging to the first category is 62,781, while 18,349 objects are annotated for the second category. In this dataset, the class “young deer” was replaced by the class “animal”, because it is not possible to reliably identify a specific wildlife species from IRT images. Nevertheless, the majority of the images predominantly contain fawns. The structure of the IRT dataset of fawns is described in detail in Table 1, which summarizes selected statistical characteristics of the annotated instances of both monitored classes.

Table 1: Selected properties of objects in the training and validation dataset




Property
Animal class
Person class




Number of instances
62,781
18,349


Min. width
1
1


Max. width
240
139


Avg. width
19.03
17.60


Min. height
2
3


Max. height
321
155


Avg. height
21.07
22.09


Min. area
0.001
0.001


Max. area
18.81
4.04


Avg. area
0.22
0.15


Min. number of contour points
8
8


Max. number of contour points
400
316


Avg. number of contour points
59
69
DOI: 10.5281/zenodo.18197468
title: Dataset of young deer (IRT images)

description: After data augmentation, the dataset contains 29,194 images with annotations in the MS COCO format for the monitored classes “animal” and “person”. The total number of objects belonging to the first category is 62,781, while 18,349 objects are annotated for the second category. In this dataset, the class “young deer” was replaced by the class “animal”, because it is not possible to reliably identify a specific wildlife species from IRT images. Nevertheless, the majority of the images predominantly contain fawns. The structure of the IRT dataset of fawns is described in detail in Table 1, which summarizes selected statistical characteristics of the annotated instances of both monitored classes.

Table 1: Selected properties of objects in the training and validation dataset




Property
Animal class
Person class




Number of instances
62,781
18,349


Min. width
1
1


Max. width
240
139


Avg. width
19.03
17.60


Min. height
2
3


Max. height
321
155


Avg. height
21.07
22.09


Min. area
0.001
0.001


Max. area
18.81
4.04


Avg. area
0.22
0.15


Min. number of contour points
8
8


Max. number of contour points
400
316


Avg. number of contour points
59
69
DOI: 10.15468/dl.9z36e7
title: Occurrence Download

description: A dataset containing 617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Saiga tatarica"
 ]
}

 The dataset includes 617 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032948-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67ka79
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus deltoides",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032949-250717081556266/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.28586486.v1
title: <b>Tactile-evoked EEG Dataset for Natural Perception Using an Integrated Stimulation-Recording Framework</b>

description: This open-access dataset we have provided aims to investigate natural tactile-evoked EEG response patterns across different contact scenarios. Tactile exploration plays a crucial role in the advancement of tactile-evoked brain-computer interface (BCI) technologies, yet the underlying neural mechanisms and classification models require further investigation. Our dataset collection process ensures the authenticity and naturalness of tactile perception tasks, providing a solid foundation for exploring natural tactile-evoked mechanisms and the neurophysiology of tactile feedback. We believe that this dataset will contribute to the development of tactile-evoked BCI systems, enhance research and innovation in assistive medical devices for aging populations, and expand the application prospects of BCI technologies.
DOI: 10.15468/dl.bk3zuh
title: Occurrence Download

description: A dataset containing 1419 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lapsanastrum apogonoides"
 ]
}

 The dataset includes 1419 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032950-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkresj
title: Occurrence Download

description: A dataset containing 2719 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum revolutum"
 ]
}

 The dataset includes 2719 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032951-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpfm6a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum dichotomiflorum",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032952-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctap6u
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum dichotomiflorum",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 964 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032953-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw772c
title: Occurrence Download

description: A dataset containing 4114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa omeiensis"
 ]
}

 The dataset includes 4114 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032955-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16356971
title: X-ray Transient Candidate Database using a Custom Pipeline on the Chandra Data Archive

description:  

📄 Description of the file final_candidates_catalogue_with_suffixes.csv

This catalogue contains transient candidate detections identified in the Chandra X-ray archive using a custom pipeline (including the novel CuDiDi method). Each row corresponds to one candidate event. The candidates are named using the convention:

XT YYMMDD[a-z],where YYMMDD represents the date of the observation, and the optional lowercase letter (a, b, c, …) distinguishes multiple candidates from the same observation.

The table includes the following columns:

🔢 General Columns





CANDIDATE:Name of the candidate in the format XT YYMMDD, with an optional alphabetical suffix (e.g., XT 230615b) if multiple candidates were found in the same observation.




OBSID:Chandra Observation ID in which the candidate was found.




SOURCE:Internal source number within the observation (from source detection).




RA / DEC:Right Ascension and Declination of the candidate (J2000 coordinates).



🚩 Diagnostic Flags (Boolean)

These flags help assess the reliability of each candidate and identify potential artefacts or known sources. A value of True indicates that the corresponding condition applies:





non_unique:True if the source is detected in more than one Chandra observation (within a 3″ radius). These are likely persistent sources, not transients.




snr_match:True if the candidate falls within an observation known to contain a Galactic supernova remnant (e.g., Cassiopeia A, Tycho), based on cross-matching with SNR catalogs.




extended_fov:True if the source lies within or near an extended structure (e.g., diffuse Galactic emission) identified by manual inspection of the field of view.




readout_streak:True if the source overlaps with a known instrumental readout streak, often caused by bright sources like Cyg X-1.




edge_affected:True if the detected source region is only partially covered by the detector due to dithering, which may result in unreliable flux or light curve measurements.




bkg_correlated:True if the source light curve is strongly correlated (Pearson coefficient > 0.15) with the background during the T90 interval, indicating likely background flaring.




start_or_end:True if the start (T5) or end (T95) of the transient lies within the first or last 5% of the observation. Such events may be truncated by the observational window.



Of 1505 candidates, 819 have no flags set to true and are considered the 'golden sample'.
DOI: 10.5281/zenodo.14765534
title: Data for publication: Monolithic 4H-SiC nanomechanical resonators with high intrinsic quality factors

description: These are experimental data that form the base of our publication:

Monolithic 4H-SiC nanomechanical resonators with high intrinsic quality factors
DOI: 10.5281/zenodo.14765535
title: Data for publication: Monolithic 4H-SiC nanomechanical resonators with high intrinsic quality factors

description: These are experimental data that form the base of our publication:

Monolithic 4H-SiC nanomechanical resonators with high intrinsic quality factors
DOI: 10.15468/dl.yfc78x
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nassauvia lagascae"
 ]
}

 The dataset includes 479 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032954-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fsqdw
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pentanisia foetida",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032957-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bkan7
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum revolutum keniense"
 ]
}

 The dataset includes 229 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032956-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5smb4
title: Occurrence Download

description: A dataset containing 4290 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypericum triquetrifolium"
 ]
}

 The dataset includes 4290 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032958-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hvf6x
title: Occurrence Download

description: A dataset containing 15854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora lutea"
 ]
}

 The dataset includes 15854 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032960-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6js3xy
title: Occurrence Download

description: A dataset containing 15854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora lutea"
 ]
}

 The dataset includes 15854 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032959-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.