cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cvg2wz
title: Occurrence Download

description: A dataset containing 1086092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Dicranaceae)"
 ]
}

 The dataset includes 1086092 records from 1022 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157613-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6egz6
title: Occurrence Download

description: A dataset listing the 101 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Clusiaceae",
 "Year 2020-2025"
 ]
}

 The dataset's 101 records were derived from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007593-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rey89z
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007611-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/3f790ddf-be60-0cd8-e063-7086abc0139f
title: Processed multibeam bathymetry data from Portus Pole mounted Norbit iWBMS in the offshore region of Salisbury and Layou, Dominica (March 2022)

description: Multibeam swath bathymetry data were collected using a Norbit iWBMS echosounder series mounted onto a Portus Pole on dive boat 'Olga' in March 2022. The data were collected as part of the Commonwealth Marine Economies Program (CMEP), where bathymetric data was collected in the offshore region of Salisbury and Layou, Dominica. The data were processed using Quality Positioning Services (QPS) Qimera software and hand edited to remove spurious points. Sound Velocity Profile (SVP) data was collected periodically and used to correct the data. Tidal corrections were completed using predicted tides for Roseau. Tidal and SVP data were of limited quality and availability. However, overlap of swaths was good and tidal and SVP bathymetry differences were not observed to a notable extent. The data were gridded at 2 m, in WGS84 UTM Zone 20N projection and exported as longitude-latitude-depth triples. Funding was provided by the United Kingdom Foreign, Commonwealth and Development Office.
DOI: 10.15468/dl.nkjzvh
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.60111000000001 24.825288, 88.523742 24.819711, 88.4483 24.803119, 88.37665800000001 24.775923, 88.310596 24.738802, 88.251749 24.692676, 88.20157 24.638691, 88.161289 24.578185, 88.131891 24.512656, 88.11408299999999 24.443723, 88.10828600000001 24.373089, 88.11462299999999 24.302493, 88.132919 24.233672, 88.162705 24.168317, 88.20323399999999 24.108031, 88.25349900000001 24.054289, 88.31225999999999 24.008407, 88.378074 23.971505, 88.44932799999999 23.944484, 88.524283 23.928004, 88.60111000000001 23.922465, 88.677937 23.928004, 88.752892 23.944484, 88.824146 23.971505, 88.88996 24.008407, 88.94872100000001 24.054289, 88.998986 24.108031, 89.03951499999999 24.168317, 89.069301 24.233672, 89.087597 24.302493, 89.093934 24.373089, 89.088137 24.443723, 89.070329 24.512656, 89.040931 24.578185, 89.00064999999999 24.638691, 88.95047099999999 24.692676, 88.89162399999999 24.738802, 88.82556200000001 24.775923, 88.75391999999999 24.803119, 88.678478 24.819711, 88.60111000000001 24.825288))"},{"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 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079626-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wm9r3agr
title: Modeling Document-Level Causal Structures for Event Causal Relation Identification

description: Modeling document-level causal structures for event causal relation identification.
DOI: 10.15468/dl.ueh72r
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herpetofauna de la reserva de la biósfera Valle de Tehuacán-Cuicatlán (etapa final)"
 ]
}

 The dataset includes 533 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079628-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17751083
title: Datasets Biodiversa+ Habitat Pilots workshop Flanders - Habitat condition indicators

description: Rationale

These datasets were used during the Datasets Biodiversa+ Habitat Pilots workshop in Flanders (15/10/2025 in the afternoon session) to illustrate the potential and challenges of Sentinel-2 L2A time series to monitor soil moisture and inundated area in grasslands and wetlands. The script to analyse these datasets is provided on GitHub.

The NetCDF (Network Common Data Form) (.nc)

Sentinel-2 L2A time series data for bands B02, B03, B04, B05, B08, B8A, B11, B12 and SCL, dowloaded from OpenEO with R. The script is provided on GitHub.

For the technical documentation of the Sentinel-2 L2A band layers, please visit following websites:



https://custom-scripts.sentinel-hub.com/sentinel-2/bands/

https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/scene-classification/


The regions that were used to download the time-series datasets are contained within Demervallei.gpkg. fid=3 is the region of Webbekomsbroek, wherefore three time-series datacubes where retrieved with the script:



Period: 2020-01-01 - 2024-12-31: polygon_Demervallei_3.nc

Period: 2025-01-01 - 2025-10-06: polygon_Demervallei_new_3.nc

Period: 2025-10-06 - 2025-10-13: polygon_Demervallei_last_3.nc


Target sites for the field trip

Webbekom_5testsites_demo.gpkg: Five target sites within the natural area where selected beforehand (one week before the field visist) based on accessibility (area not to much inundated and the absence of livestock). 

Survey points collected during the field visits (15/10/2025)

Duration: 9am - 12.30 pm

survey_points_HabitatPilot.gpkg: Point locations were collected in QField with a smartphone, wereby a hand-held RTK corrected GPS provided centimeter spatial accuracy. Each of the points got one of following labels:



Inundated open: this area is inundated and is open (no tall vegetation is hindering the spectral signal to the satellite).

Inundated semi: this area is inundated, but tall vegetation like reet and tall grass migh hinder the spectral signal to the satellite.

Inundated close: this area is inundated, but tall vegetation is hindering the spectral signal to the satellite.

Non-inundated: this area is not inundated.


This data layers was used for demonstration purpose (no real statistical validation).
DOI: 10.5281/zenodo.17751082
title: Datasets Biodiversa+ Habitat Pilots workshop Flanders - Habitat condition indicators

description: Rationale

These datasets were used during the Datasets Biodiversa+ Habitat Pilots workshop in Flanders (15/10/2025 in the afternoon session) to illustrate the potential and challenges of Sentinel-2 L2A time series to monitor soil moisture and inundated area in grasslands and wetlands. The script to analyse these datasets is provided on GitHub.

The NetCDF (Network Common Data Form) (.nc)

Sentinel-2 L2A time series data for bands B02, B03, B04, B05, B08, B8A, B11, B12 and SCL, dowloaded from OpenEO with R. The script is provided on GitHub.

For the technical documentation of the Sentinel-2 L2A band layers, please visit following websites:



https://custom-scripts.sentinel-hub.com/sentinel-2/bands/

https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/scene-classification/


The regions that were used to download the time-series datasets are contained within Demervallei.gpkg. fid=3 is the region of Webbekomsbroek, wherefore three time-series datacubes where retrieved with the script:



Period: 2020-01-01 - 2024-12-31: polygon_Demervallei_3.nc

Period: 2025-01-01 - 2025-10-06: polygon_Demervallei_new_3.nc

Period: 2025-10-06 - 2025-10-13: polygon_Demervallei_last_3.nc


Target sites for the field trip

Webbekom_5testsites_demo.gpkg: Five target sites within the natural area where selected beforehand (one week before the field visist) based on accessibility (area not to much inundated and the absence of livestock). 

Survey points collected during the field visits (15/10/2025)

Duration: 9am - 12.30 pm

survey_points_HabitatPilot.gpkg: Point locations were collected in QField with a smartphone, wereby a hand-held RTK corrected GPS provided centimeter spatial accuracy. Each of the points got one of following labels:



Inundated open: this area is inundated and is open (no tall vegetation is hindering the spectral signal to the satellite).

Inundated semi: this area is inundated, but tall vegetation like reet and tall grass migh hinder the spectral signal to the satellite.

Inundated close: this area is inundated, but tall vegetation is hindering the spectral signal to the satellite.

Non-inundated: this area is not inundated.


This data layers was used for demonstration purpose (no real statistical validation).
DOI: 10.15468/dl.2dd8sf
title: Occurrence Download

description: A dataset containing 328488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poa pratensis, Paneion pratense, Poa anceps breviculmis, Poa angustifolia pratensis, Poa angustifolia pratensis, Poa angustifolia pratensis, Poa bourgeaei, Poa bourgeaei, Poa compressiformis, Poa dolichachyra longiflora, Poa dolichachyra longiflora, Poa nardifolia, Poa nymanni, Poa pratensis athroostachya, Poa pratensis elata, Poa pratensis minor, Poa pratensis anceps, Poa pratensis arenaria, Poa pratensis arida, Poa pratensis atlantica, Poa pratensis domestica, Poa pratensis eu-pratensis, Poa pratensis filifolia, Poa pratensis laxiflora, Poa pratensis macounii, Poa pratensis muralis, Poa pratensis planiculmis, Poa pratensis retroflexa, Poa pratensis sabulosa, Poa pratensis stricta, Poa pratensis strigosa, Poa pratensis subglabriflora, Poa pratensis subglabriflora, Poa pratensis transnominata, Poa pratensis transnominata, Poa pratensis uberrima, Poa pratensis umbrosa, Poa pratensis vulgaris, Poa pratensis zhukovii, Poa pratensis albescens, Poa pratensis major, Poa pratensis setacea, Poa pratensis smaragdina, Poa pratensis subglabriflora, Poa pratensis vulgaris, Poa reptans)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 328488 records from 1508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079609-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1214458.10fu
title: SH1214458.10FU

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/sh1214459.10fu
title: SH1214459.10FU

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/sh1214462.10fu
title: SH1214462.10FU

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/sh1214464.10fu
title: SH1214464.10FU

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/sh1214466.10fu
title: SH1214466.10FU

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/sh1214467.10fu
title: SH1214467.10FU

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/sh1214470.10fu
title: SH1214470.10FU

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/sh1214476.10fu
title: SH1214476.10FU

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/sh1214483.10fu
title: SH1214483.10FU

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/sh1214485.10fu
title: SH1214485.10FU

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.