cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2011.1383
title: Thailand’s destination image effects on selection of tourist attraction: case study of South Korean tourists

description: The propose of this research aims to study Destination Images of Thailand in attitudes of South Korean Tourists to develop and improve Thai Tourism which is appropriate for South Korean Tourists and study experience of South Korean Tourist by using Country of Origin image Concept, Experience Concept and Demographic Characteristic for conceptual framework in this research. For data collection, used 329 questionnaires for survey South Korean Tourists from Suvarnabhumi Airport and Seoul city South Korea and use Descriptive Statistics, T-Test and One-way ANOVA Statistics to prove the outcome. And my research outcome researcher can find in Images of Thailand that truly agree with South Korean Tourists opinion, in Experience section (for the all of finding) and Demographic Characteristic almost the outcome does not affect to South Korean Tourist attitudes of images of Thailand but it have a few Images of Thailand which difference.
DOI: 10.17171/1-13-33351-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 5thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-33352-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 5thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-33353-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-33354-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-33355-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33356-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-33357-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33358-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-33359-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-34069-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-34070-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34071-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-34072-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34073-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-34074-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-34075-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-34076-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33360-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33361-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33362-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33363-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-33364-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-33365-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-33366-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33367-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-33368-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 75thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-34077-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-34078-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES 98thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-34079-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-34080-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-34081-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34082-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-34083-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34084-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-34085-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX ICE-COVER

description: Climate Models
DOI: 10.5281/zenodo.3479984
title: Data Files for PyGDSM: Python interface to the Global Diffuse Sky Model

description: HDF5 data files for PyGDSM: Python interface to Global Diffuse Sky Models PyGDSM is a Python interface for the Global Diffuse Sky Models (GDSM ascl:1011.010). GDSM are models of diffuse galactic radio emission, constructed from a variety of all-sky surveys spanning the radio band (e.g. Haslam and WMAP). PyGDSM uses the Global Sky Model (GSM2008) of Oliveira-Costa et. al., (2008), Zheng et. al., (2016) model GSM2016, and LWA1 Low Frequency Sky Model (LFSM). The PyGDSM module provides visualization utilities, file output in FITS format, and the ability to generate observed skies for a given location and date. PyGDSM requires Healpy, PyEphem (ascl:1112.014), and AstroPy (ascl:1304.002).
DOI: 10.5281/zenodo.3479985
title: Data Files for PyGSM: Python interface to the Global Sky Model

description: HDF5 data files for PyGSM: Python interface to the Global Sky Model. PyGSM is a Python interface for the Global Sky Model (GSM, ascl:1011.010). The GSM is a model of diffuse galactic radio emission, constructed from a variety of all-sky surveys spanning the radio band (e.g. Haslam and WMAP). PyGSM uses the GSM to generate all-sky maps in Healpix format of diffuse Galactic radio emission from 10 MHz to 94 GHz. The PyGSM module provides visualization utilities, file output in FITS format, and the ability to generate observed skies for a given location and date. PyGSM requires Healpy, PyEphem (ascl:1112.014), and AstroPy (ascl:1304.002).
DOI: 10.17171/1-13-33369-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 90thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-33370-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 90thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-33371-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 90thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33372-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 90thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-33373-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP TIME-RANGE-VALUES 90thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34086-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34087-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-34088-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34089-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-34090-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-34091-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-34092-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-34093-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-34094-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MAX TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17632/5sw2c38f8w.3
title: BarkNet 1.0 (Part 4 of 4)

description: (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
DOI: 10.17171/1-13-34095-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-34096-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-34097-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34098-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-34099-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34100-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN BIOME

description: Climate Models
DOI: 10.17171/1-13-34101-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN CONSECUTIVE-DRY-DAYS

description: Climate Models
DOI: 10.17171/1-13-34102-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN CONSECUTIVE-FROST-DAYS

description: Climate Models
DOI: 10.17632/5sw2c38f8w.4
title: BarkNet 1.0 (Part 4 of 4)

description: (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
DOI: 10.17632/5sw2c38f8w.6
title: BarkNet 1.0 (Part 4 of 4)

description: (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
DOI: 10.17632/5sw2c38f8w.7
title: BarkNet 1.0 (Part 4 of 4)

description: (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
DOI: 10.17171/1-13-34103-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN CONSECUTIVE-SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-34104-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN CONSECUTIVE-WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-34105-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-34106-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN FROST-DAYS

description: Climate Models
DOI: 10.17171/1-13-34107-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN HEAVY-PREIPITATION-DAYS

description: Climate Models
DOI: 10.17171/1-13-34108-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-34109-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN ICE-DAYS

description: Climate Models
DOI: 10.17171/1-13-34110-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN KOEPPEN-GEIGER

description: Climate Models
DOI: 10.17171/1-13-34111-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34112-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-34113-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34114-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN SIMPLE-DAILY-INTENSITY

description: Climate Models
DOI: 10.17171/1-13-34115-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-34116-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-34117-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-34118-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP TIME-RANGE-VALUES MEAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.15156/bio/sh3327974.08fu
title: SH3327974.08FU

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/sh3327975.08fu
title: SH3327975.08FU

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: 10.25549/one-c4-16043
title: ONE institute quarterly 3/1/8 (Winter 1960)

description: ONE institute quarterly of homophile studies, volume 3, number 1, issue 8 (1960 Winter). Issued quarterly.
DOI: 10.15156/bio/sh3327976.08fu
title: SH3327976.08FU

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/sh3327977.08fu
title: SH3327977.08FU

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/sh3327978.08fu
title: SH3327978.08FU

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/sh3327979.08fu
title: SH3327979.08FU

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/sh3327980.08fu
title: SH3327980.08FU

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.