cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1408200.10fu
title: SH1408200.10FU

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/sh1408207.10fu
title: SH1408207.10FU

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/sh1408209.10fu
title: SH1408209.10FU

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/sh1408211.10fu
title: SH1408211.10FU

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/sh1408213.10fu
title: SH1408213.10FU

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/sh1408216.10fu
title: SH1408216.10FU

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/sh1408218.10fu
title: SH1408218.10FU

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/sh1408223.10fu
title: SH1408223.10FU

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/sh1408224.10fu
title: SH1408224.10FU

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.rykbyh
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypochaeris microcephala (Sch.Bip.) Cabrera)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 116 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078981-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eosbou
title: Occurrence Download

description: A dataset containing 424759 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stercorariidae"
 ]
}

 The dataset includes 424759 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015528-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdkfax
title: Occurrence Download

description: A dataset containing 1255170 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alcidae"
 ]
}

 The dataset includes 1255170 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015539-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhiqrx
title: Occurrence Download

description: A dataset containing 30478134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laridae"
 ]
}

 The dataset includes 30478134 records from 873 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015556-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.il5nwo
title: Occurrence Download

description: A dataset containing 32720 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phaethontiformes"
 ]
}

 The dataset includes 32720 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015479-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2520494-1
title: Epithermal Neutron ToF Imaging Using the LumaCam Event-Mode Detector at INES

description: LumaCam detectors are a novel type of neutron imaging detector, which combine high spatial and temporal resolution. This makes them suitable for epithermal ToF imaging of samples with small features. First tests have already been conducted at the EMMA test beamline using a silver sample. We now propose to continue this work with measurements at INES, where the request and use of neutron resonance transmission imaging with epithermal neutrons have been growing recently, and which would benefit from a higher resolved and efficient transmission detector. Furthermore, we can also directly compare the results to data collected with the standard instrumentation.
DOI: 10.5286/isis.e.rb2520494
title: Epithermal Neutron ToF Imaging Using the LumaCam Event-Mode Detector at INES

description: LumaCam detectors are a novel type of neutron imaging detector, which combine high spatial and temporal resolution. This makes them suitable for epithermal ToF imaging of samples with small features. First tests have already been conducted at the EMMA test beamline using a silver sample. We now propose to continue this work with measurements at INES, where the request and use of neutron resonance transmission imaging with epithermal neutrons have been growing recently, and which would benefit from a higher resolved and efficient transmission detector. Furthermore, we can also directly compare the results to data collected with the standard instrumentation.
DOI: 10.82506/20
title: Validated measurements of sedimentological parameters taken from the HIC's continuous measurement network on Flemish navigable waterways
title: Gevalideerde metingen van sedimentologische parameters, afkomstig uit het continue meetnet van het HIC op de Vlaamse bevaarbare waterlopen

description: This dataset includes validated measurements of sedimentological parameters taken from the continuous HIC monitoring network covering the Flemish navigable waterways. Specifically, it covers the parameters turbidity and SSC in and at the edges of the tidal area of the Scheldt.
description: The following actions are important in the creation of the dataset:- installation, management and maintenance of monitoring points in the field;- forwarding files with raw data from the individual data loggers to a central server;- picking up the data files on the central server and performing the necessary conversions (ETL system);- forwarding (ETL system) the converted data files to the WISKI database;- 24*7 monitoring of ETL and WISKI database system and carrying out corrective maintenance if required;- manual validation of measurements of the sedimentological parameters turbidity and syspended sediment concentration on a regular basis, based on calibration field measurements and grain size analysis in the sediment laboratory. This manual validation is done within the WISKI application, assigning a quality code to each data point. Validation includes removing outliers, filling missing data based on estimates or measurements from nearby stations, shifting data within a certain range,...;- frequent manual validation of the precipitation data of the HIC monitoring network by the RMI;- publication of validated data in hydrological yearbooks (discharges), multiannual overviews (tide area), ... Validated data are also available via HIC-webservices (https://hicws.vlaanderen.be)
DOI: 10.5281/zenodo.18679304
title: Data and Code for: Genetic diversity promotes structural heterogeneity that enhances forest productivity

description: This repository contains the processed data and analysis code supporting the manuscript submitted to New Phytologist (2026).

The study investigates whether intraspecific genetic diversity enhances forest productivity directly or indirectly through its effects on stand structural heterogeneity. The analyses are based on 30-year-old common garden experiments of Pinus sylvestris established across three sites in Spain. Genetic structure was derived from SNP-based clustering of 22 provenances, and neighbourhood-level diversity metrics were linked to individual tree growth and stand-level productivity.This version (v1.0.0) corresponds to the manuscript submitted to New Phytologist in 2025.
DOI: 10.5281/zenodo.18679303
title: Data and Code for: Genetic diversity promotes structural heterogeneity that enhances forest productivity

description: This repository contains the processed data and analysis code supporting the manuscript submitted to New Phytologist (2026).

The study investigates whether intraspecific genetic diversity enhances forest productivity directly or indirectly through its effects on stand structural heterogeneity. The analyses are based on 30-year-old common garden experiments of Pinus sylvestris established across three sites in Spain. Genetic structure was derived from SNP-based clustering of 22 provenances, and neighbourhood-level diversity metrics were linked to individual tree growth and stand-level productivity.This version (v1.0.0) corresponds to the manuscript submitted to New Phytologist in 2025.
DOI: 10.5281/zenodo.18772845
title: LINF_340010900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18772844
title: LINF_340010900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.xsvh78
title: Occurrence Download

description: A dataset containing 1072 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Thailand, Brazil)",
 "OccurrenceStatus is Present",
 "TaxonKey is Thalia geniculata"
 ]
}

 The dataset includes 1072 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000172-260225131425191/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.30753347
title: Mechanisms of freshwater zoogeochemistry: A review and meta-analysis of animal impacts on ecosystem function

description: 1. Freshwater ecosystems are under immense pressure from global environmental change. These stressors have led to biogeochemical alterations and rapid rates of defaunation and losses of associated animal-driven ecosystem functions.2. Zoogeochemistry provides a unique perspective on the dual challenges of global change and defaunation in freshwater ecosystems, but zoogeochemical frameworks that explicitly link conservation biology with biogeochemistry have not yet been fully embraced by freshwater ecologists.3. We conducted a systematic review and meta-analysis of the mechanistic roles that animals play in freshwater biogeochemistry, with the aim of advancing the application of zoogeochemistry in freshwaters.4. We reviewed 14 major mechanisms of freshwater zoogeochemistry. Our review shows that a diversity of taxa impact ecosystem-level elemental pools and fluxes, within and across freshwater ecosystem boundaries. However, these effects are not always placed in context at the ecosystem level, which limited the scope of our meta-analysis.5. Zoogeochemical impacts tended to be stronger in wetlands and lakes than streams and estuaries. Consumption, excretion, and respiration had the strongest direct impacts on elemental pools and fluxes; bioturbation, consumption, and egestion had the strongest indirect impacts. These mechanisms often interacted, generating complex influences on elemental pools and fluxes. However, creative experimental designs can be used to isolate individual mechanisms, allowing complex effects with multiple mechanisms to be incorporated into ecosystem models.6. Quantifying and modelling zoogeochemical effects in freshwater ecosystems will allow ecologists and managers to make informed decisions that balance biodiversity conservation with healthy ecosystem function.
DOI: 10.6084/m9.figshare.30753347.v1
title: Mechanisms of freshwater zoogeochemistry: A review and meta-analysis of animal impacts on ecosystem function

description: 1. Freshwater ecosystems are under immense pressure from global environmental change. These stressors have led to biogeochemical alterations and rapid rates of defaunation and losses of associated animal-driven ecosystem functions.2. Zoogeochemistry provides a unique perspective on the dual challenges of global change and defaunation in freshwater ecosystems, but zoogeochemical frameworks that explicitly link conservation biology with biogeochemistry have not yet been fully embraced by freshwater ecologists.3. We conducted a systematic review and meta-analysis of the mechanistic roles that animals play in freshwater biogeochemistry, with the aim of advancing the application of zoogeochemistry in freshwaters.4. We reviewed 14 major mechanisms of freshwater zoogeochemistry. Our review shows that a diversity of taxa impact ecosystem-level elemental pools and fluxes, within and across freshwater ecosystem boundaries. However, these effects are not always placed in context at the ecosystem level, which limited the scope of our meta-analysis.5. Zoogeochemical impacts tended to be stronger in wetlands and lakes than streams and estuaries. Consumption, excretion, and respiration had the strongest direct impacts on elemental pools and fluxes; bioturbation, consumption, and egestion had the strongest indirect impacts. These mechanisms often interacted, generating complex influences on elemental pools and fluxes. However, creative experimental designs can be used to isolate individual mechanisms, allowing complex effects with multiple mechanisms to be incorporated into ecosystem models.6. Quantifying and modelling zoogeochemical effects in freshwater ecosystems will allow ecologists and managers to make informed decisions that balance biodiversity conservation with healthy ecosystem function.