cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0165959.10fu
title: SH0165959.10FU

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/sh0165960.10fu
title: SH0165960.10FU

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.18196948
title: EO-based hazard flooding maps - South Sudan, 2012-2024

description: Field Name
Description


Use Case Name


Flooding and health care service disruption in South Sudan.



Dataset Name


EO-based hazard flooding maps. 



Dataset Description


The dataset covers the period 2012–2024 and provides hazard flooding maps derived from VIIRS data at 375 m/pixel, where each pixel represents the fraction of water coverage. The maps cover an area of interest (AOI) of 189.856 km2  (almost 30% of total South Sudan surface). A hydrologically conditioned Digital Elevation Model (HydroDEM) combined with the HAND algorithm was used to generate binary flood maps at 90 m/pixel resolution. Each product represents a five-day composite, capturing temporal dynamics of flooded areas. The provided hazard maps have two layers: flood frequency (how often a pixel was flooded in a year) and flood duration (how many days it was inundated that year). 



Temporal Domain
2012-2024


Spatial Domain
South Sudan (bounding box ranging from longitude 28.5942ºE to 4.8367ºE and latitude 31.8383ºN to 9.6283ºN, in EPSG:4326).


Key Variables/Indicators
Flood frequency: how often a pixel was flooded in a year. Flood duration: number of days a pixel was flooded in a year.


Data Format
GeoTIFF


Souce Data
VIIRS, HydroDEM


Limitations/Assumptions


VIIRS’ moderate spatial resolution (375 m/pixel) restricts its ability to capture small or narrow inundated areas, especially in urban or complex terrains. As an optical–infrared instrument, VIIRS cannot penetrate clouds, making flood detection difficult during cloudy or rainy periods when floods are most likely to occur. Mixed land–water pixels further introduce uncertainty, particularly along flood boundaries or in vegetated regions.
DOI: 10.5281/zenodo.18196949
title: EO-based hazard flooding maps - South Sudan, 2012-2024

description: Field Name
Description


Use Case Name


Flooding and health care service disruption in South Sudan.



Dataset Name


EO-based hazard flooding maps. 



Dataset Description


The dataset covers the period 2012–2024 and provides hazard flooding maps derived from VIIRS data at 375 m/pixel, where each pixel represents the fraction of water coverage. The maps cover an area of interest (AOI) of 189.856 km2  (almost 30% of total South Sudan surface). A hydrologically conditioned Digital Elevation Model (HydroDEM) combined with the HAND algorithm was used to generate binary flood maps at 90 m/pixel resolution. Each product represents a five-day composite, capturing temporal dynamics of flooded areas. The provided hazard maps have two layers: flood frequency (how often a pixel was flooded in a year) and flood duration (how many days it was inundated that year). 



Temporal Domain
2012-2024


Spatial Domain
South Sudan (bounding box ranging from longitude 28.5942ºE to 4.8367ºE and latitude 31.8383ºN to 9.6283ºN, in EPSG:4326).


Key Variables/Indicators
Flood frequency: how often a pixel was flooded in a year. Flood duration: number of days a pixel was flooded in a year.


Data Format
GeoTIFF


Souce Data
VIIRS, HydroDEM


Limitations/Assumptions


VIIRS’ moderate spatial resolution (375 m/pixel) restricts its ability to capture small or narrow inundated areas, especially in urban or complex terrains. As an optical–infrared instrument, VIIRS cannot penetrate clouds, making flood detection difficult during cloudy or rainy periods when floods are most likely to occur. Mixed land–water pixels further introduce uncertainty, particularly along flood boundaries or in vegetated regions.
DOI: 10.15156/bio/sh0165961.10fu
title: SH0165961.10FU

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.5ezkkm
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnadenia orchidis",
 "Year 1950-2026"
 ]
}

 The dataset includes 230 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001235-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0165962.10fu
title: SH0165962.10FU

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/sh0165963.10fu
title: SH0165963.10FU

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/sh0165964.10fu
title: SH0165964.10FU

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/sh0165965.10fu
title: SH0165965.10FU

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/sh0165966.10fu
title: SH0165966.10FU

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/sh0165967.10fu
title: SH0165967.10FU

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.duv3xs
title: Occurrence Download

description: A dataset containing 30746 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conyza sumatrensis"
 ]
}

 The dataset includes 30746 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027220-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuw5yg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sander lucioperca",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027221-250717081556266/datasets/export for details.
DOI: 10.15468/dl.jkgm8w
title: Occurrence Download

description: A dataset containing 17694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sardinops sagax"
 ]
}

 The dataset includes 17694 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027219-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmehkd
title: Occurrence Download

description: A dataset containing 12612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sander lucioperca",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12612 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027222-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xh4b8h
title: Occurrence Download

description: A dataset containing 16735879 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NABU|naturgucker"
 ]
}

 The dataset includes 16735879 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027201-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxzdds
title: Occurrence Download

description: A dataset containing 618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Banksia integrifolia",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 618 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027224-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwt6jv
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Castanopsis boisii"
 ]
}

 The dataset includes 37 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027223-250717081556266/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.29615180
title: HZAU_<i>pla</i>_fasta

description: The assembly data (fasta) of <i>Phoxinus lagowskii</i>
DOI: 10.6084/m9.figshare.29615180.v1
title: HZAU_<i>pla</i>_fasta

description: The assembly data (fasta) of <i>Phoxinus lagowskii</i>
DOI: 10.34740/kaggle/dsv/12542306
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.bweh24
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus silvarum",
 "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 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027225-250717081556266/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.29615705
title: HZAU_<i>Pla_</i>longest_protein.fasta

description: The annotation data(protein) of <i>Phoxinus lagowskii</i>
DOI: 10.6084/m9.figshare.29615705.v1
title: HZAU_<i>Pla_</i>longest_protein.fasta

description: The annotation data(protein) of <i>Phoxinus lagowskii</i>
DOI: 10.15468/frvnev
title: 2022 The Marine Biological Association (MBA) Mount Batten Bioblitz

description: The Batten Bay mini-BioBlitz 2022 is organised by the Marine Biological Association as part of the Darwin Tree of Life Project. The survey area includes a range of habitats including the coastal heath, woods, meadows, estuary and extensive rocky shore. Please note that there are iNaturalist and iRecord records that haven't been included in this dataset to avoid duplication at the NBN atlas level
DOI: 10.15468/dl.fbnfgu
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027227-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16310322
title: Self-modulation instability in high power ferromagnetic resonance of BiYIG nanodisks

description: Data supporting the findings of https://doi.org/10.48550/arXiv.2503.07159

Ordered and labeled by the corresponding figure names
DOI: 10.5281/zenodo.16310323
title: Self-modulation instability in high power ferromagnetic resonance of BiYIG nanodisks

description: Data supporting the findings of https://doi.org/10.48550/arXiv.2503.07159

Ordered and labeled by the corresponding figure names
DOI: 10.6084/m9.figshare.29615510
title: HZAU_<i>Pla_</i>cds

description: The annotation data(cds) of <i>Phoxinus lagowskii</i>
DOI: 10.6084/m9.figshare.29615510.v1
title: HZAU_<i>Pla_</i>cds

description: The annotation data(cds) of <i>Phoxinus lagowskii</i>
DOI: 10.15468/dl.uyujq6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon dactylon",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027228-250717081556266/datasets/export for details.
DOI: 10.15468/dl.yd6wmh
title: Occurrence Download

description: A dataset containing 3867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurium scilloides"
 ]
}

 The dataset includes 3867 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027226-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skez35
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon dactylon",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 85 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027230-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tfd8z
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon dactylon",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027229-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15593701
title: Artificial Symbiosis for Bulk Production of Bacterial Cellulose Composites
DOI: 10.5281/zenodo.15593700
title: Artificial Symbiosis for Bulk Production of Bacterial Cellulose Composites
DOI: 10.15468/dl.h32p2p
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sander lucioperca",
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027231-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epgwky
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Embothrium coccineum",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 98 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027233-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.