cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/1ecvb0/zol195
title: DustOn-monthly-average_wrfout_d01_2009-05_00_mean.nc
DOI: 10.17632/33mkhw2737.1
title: Data for: Geomorphological controls in coastal response under projected sea-level rise at an oceanic island: Trindade, Brazil
DOI: 10.17632/jmch3jhmwn.1
title: Perinatal care clinical data and archetypes

description: Perinatal care clinical data and archetypes
DOI: 10.17632/pgpgptrcd3.1
title: Data on local responses to early warning about floods in northern Ghana
DOI: 10.17632/pgpgptrcd3.2
title: Data on local responses to early warning about floods in northern Ghana
DOI: 10.17632/vdzpw2hsbb.2
title: Continuous Radon measurements at High altitude Physics Observatory, Gulmarg, Kashmir valley,J&K.

description: The data set include 7-day continuous measurement (daily as well as diurnal) of radon-222 gas at 1-hour resolution collected at a high-altitude Physics Observatory at Gulmarg which is situated roughly 55 Km from Srinagar, the capital city of Jammu & Kashmir and lies in the Pir Panjals range of the Himalayas. The longitude and latitude of Gulmarg are 74◦24’E and 34◦03’N with a mean altitude of 2743.2 m. The data was obtained using a scintillation detector (RnDuo Monitor), developed by Bhabha Atomic Research Centre, Mumbai, India. The first column (Column A), shows time (in hours) where cell A3 represents 1:00 am, A4 represents 2:00 am and so on. Columns B-H show daily Radon variation while as rows B-H shows the hourly variation of radon measured in Becquerel per cubic metre. Column I shows the average values. Value of the Data: • The Gulmarg High Altitude observatory primarily records meteorological parameters. However, the observatory is also equipped with many other scientific instruments to detect and record various other parameters like particulate matter, atmospheric electricity, seismic activities etc. However, as of now, no data about radon gas is available, the knowledge of which can be instrumental to other researchers working at the observatory. • Radon gas is a known carcinogen (Samet and Eradze, 2000). In fact, it is the first cause of lung cancer among non-smokers and second among smokers (Darby et al., 2005; World Health Organization, 2010). Therefore, the data pertaining to radon concentration, are vital from the epidemiological perspective. • The observatory was recently equipped with an Electric Field Mill (EFM) to measure atmospheric electricity, which is known to be influenced by Radon gas (Chandrashekara et al., 2006; García-Talavera et al., 2001). The data set for radon concentration will definitely serve as a yardstick for this and other such research works.
DOI: 10.7281/t1/1ecvb0/2szh0n
title: DustOn-monthly-average_wrfout_d01_2009-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/4iywvu
title: DustOn-monthly-average_wrfout_d01_2009-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/564ajm
title: DustOn-monthly-average_wrfout_d01_2009-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/7sixbu
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-06_06_std.nc
DOI: 10.7281/t1/1ecvb0/9vuueo
title: DustOn-monthly-average_wrfout_d01_2009-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/cqj0aq
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-06_18_std.nc
DOI: 10.7281/t1/1ecvb0/d8do57
title: DustOff-monthly-average_wrfout_d01_2002-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ecjub2
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-09_00_std.nc
DOI: 10.7281/t1/1ecvb0/hwatvf
title: DustOn-monthly-average_wrfout_d01_2009-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/i0hljz
title: DustOff-monthly-average_wrfout_d01_2002-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/jludmb
title: DustOff-monthly-average_wrfout_d01_2002-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/oxo5z1
title: DustOff-monthly-average_wrfout_d01_2002-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/prhkr5
title: DustOff-monthly-average_wrfout_d01_2002-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/qjqans
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-03_18_std.nc
DOI: 10.7281/t1/1ecvb0/rqmgru
title: DustOff-monthly-average_wrfout_d01_2002-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/s4uggu
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-09_12_std.nc
DOI: 10.7281/t1/1ecvb0/sesfzz
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-03_06_std.nc
DOI: 10.7281/t1/1ecvb0/tgosj4
title: DustOn-monthly-average_wrfout_d01_2009-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/w8x48c
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-07_12_std.nc
DOI: 10.7281/t1/1ecvb0/xtdrih
title: DustOn-monthly-average_wrfout_d01_2009-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/xvtrf9
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-07_00_std.nc
DOI: 10.7281/t1/1ecvb0/zx96a1
title: DustOn-monthly-average_wrfout_d01_2009-08_12_mean.nc
DOI: 10.17632/6fp2ytmmhr.1
title: Dissolution and capillary trapping CO$_{2}$ in heterogeneous storage reservoirs dataset

description: CO2 sequestration in deep saline storage reservoir has been modeled using a finite element heat and mass transfer solver (FEHM). We solved two-phase flow and solute transport equations to simulate the dissolution and local capillary trapping in heterogeneous reservoirs with permeability and capillary entry pressure heterogeneities. In this dataset, we have provided some samples of input files and output files. The names of the files are self-explanatory. There are two parts to this dataset. In the Input_files folder, permeability (k) and permeability-capillary entry pressure (k_pc0) input files for given. In the Output_files permeability (k) and permeability-capillary entry pressure (k_pc0) output files for variance 0.1, 0.3, 1 and 3, and correlation lengths 2 m, 5 m and 10 m at time 20 years (end of the injection period) are given.
DOI: 10.17632/vcz3vgj42f.1
title: Lactuca dregeana molecular datasets
DOI: 10.5281/zenodo.3746549
title: Practica 1:Web Scraping carsTecnicsFeatures

description: El archivo almacena datos obtenidos mediante la aplicación de web scraping en diferentes páginas. Se trata de una práctica para la asignatura "Tipología y ciclo de vida de datos" enmarcada en el master Data Science de la Universitat Oberta de Catalunya.
DOI: 10.7281/t1/1ecvb0/3szrml
title: DustOff-monthly-average_wrfout_d01_2002-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/6gvdtb
title: DustOn-monthly-average_wrfout_d01_2009-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/6syeyl
title: DustOn-monthly-average_wrfout_d01_2009-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/bsrhdu
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-10_00_std.nc
DOI: 10.7281/t1/1ecvb0/cfdpme
title: DustOn-monthly-average_wrfout_d01_2009-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/cnwwvl
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-08_18_std.nc
DOI: 10.7281/t1/1ecvb0/fjewtl
title: DustOff-monthly-average_wrfout_d01_2002-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/gic2cd
title: DustOff-monthly-average_wrfout_d01_2002-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ifjk8h
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/ijrasf
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-05_18_std.nc
DOI: 10.7281/t1/1ecvb0/kejlad
title: DustOff-monthly-average_wrfout_d01_2002-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/m6v7hp
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-04_00_std.nc
DOI: 10.7281/t1/1ecvb0/n5blcf
title: DustOff-monthly-average_wrfout_d01_2002-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ngyzgw
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-05_06_std.nc
DOI: 10.7281/t1/1ecvb0/of5yha
title: DustOff-monthly-average_wrfout_d01_2002-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/pvz9ew
title: DustOn-monthly-average_wrfout_d01_2009-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/qfa5yc
title: DustOff-monthly-average_wrfout_d01_2002-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ruwbbb
title: DustOn-monthly-average_wrfout_d01_2009-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/rxpz3c
title: DustOn-monthly-average_wrfout_d01_2009-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/sdpem5
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-10_12_std.nc
DOI: 10.7281/t1/1ecvb0/sh6r1a
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-08_06_std.nc
DOI: 10.7281/t1/1ecvb0/srhfpc
title: DustOn-monthly-average_wrfout_d01_2009-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/t5xspr
title: DustOff-monthly-average_wrfout_d01_2002-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/tjwbro
title: DustOn-monthly-average_wrfout_d01_2009-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/wkxns7
title: DustOff-monthly-average_wrfout_d01_2002-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/wndksq
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-04_12_std.nc
DOI: 10.17632/vdzpw2hsbb.3
title: Continuous Radon measurements at High altitude Physics Observatory, Gulmarg, Kashmir valley,J&K.

description: The data set include 7-day continuous measurement (daily as well as diurnal) of radon-222 gas at 1-hour resolution collected at a high-altitude Physics Observatory at Gulmarg which is situated roughly 55 Km from Srinagar, the capital city of Jammu & Kashmir and lies in the Pir Panjals range of the Himalayas. The longitude and latitude of Gulmarg are 74◦24’E and 34◦03’N with a mean altitude of 2743.2 m. The data was obtained using a scintillation detector (RnDuo Monitor), developed by Bhabha Atomic Research Centre, Mumbai, India. The first column (Column A), shows time (in hours) where cell A3 represents 1:00 am, A4 represents 2:00 am and so on. Columns B-H show daily Radon variation while as rows B-H shows the hourly variation of radon measured in Becquerel per cubic metre. Column I shows the average values. Value of the Data: • The Gulmarg High Altitude observatory primarily records meteorological parameters. However, the observatory is also equipped with many other scientific instruments to detect and record various other parameters like particulate matter, atmospheric electricity, seismic activities etc. However, as of now, no data about radon gas is available, the knowledge of which can be instrumental to other researchers working at the observatory. • Radon gas is a known carcinogen (Samet and Eradze, 2000). In fact, it is the first cause of lung cancer among non-smokers and second among smokers (Darby et al., 2005; World Health Organization, 2010). Therefore, the data pertaining to radon concentration, are vital from the epidemiological perspective. • The observatory was recently equipped with an Electric Field Mill (EFM) to measure atmospheric electricity, which is known to be influenced by Radon gas (Chandrashekara et al., 2006; García-Talavera et al., 2001). The data set for radon concentration will definitely serve as a yardstick for this and other such research works.
DOI: 10.17632/zdbgf93d5k.1
title: Mineral Components Predict Heterogeneous Elastic Modulus of Shale Laminae

description: This data set includes the method for calculating elastic modulus, relevant figures, detailed mechanical parameters and chemical components of the tested indentation areas.
DOI: 10.5281/zenodo.3746548
title: Practica 1:Web Scraping carsTecnicsFeatures

description: El archivo almacena datos obtenidos mediante la aplicación de web scraping en diferentes páginas. Se trata de una práctica para la asignatura "Tipología y ciclo de vida de datos" enmarcada en el master Data Science de la Universitat Oberta de Catalunya.
DOI: 10.7281/t1/1ecvb0/0cyxfb
title: DustOff-monthly-average_wrfout_d01_2002-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/2yv2ah
title: DustOn-monthly-average_wrfout_d01_2009-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/8i6som
title: DustOn-monthly-average_wrfout_d01_2009-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/arndjv
title: DustOn-monthly-average_wrfout_d01_2009-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/b3cywo
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-05_12_std.nc
DOI: 10.7281/t1/1ecvb0/bv9sqf
title: DustOff-monthly-average_wrfout_d01_2002-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/e7i2fi
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-04_18_std.nc
DOI: 10.7281/t1/1ecvb0/fhowdt
title: DustOff-monthly-average_wrfout_d01_2002-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/h9mnva
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-10_18_std.nc
DOI: 10.7281/t1/1ecvb0/hiwj4x
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-04_06_std.nc
DOI: 10.7281/t1/1ecvb0/hycova
title: DustOn-monthly-average_wrfout_d01_2009-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/iqlk9v
title: DustOff-monthly-average_wrfout_d01_2002-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/k5r6t9
title: DustOn-monthly-average_wrfout_d01_2009-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/mhqybn
title: DustOff-monthly-average_wrfout_d01_2002-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/n2xqcf
title: DustOn-monthly-average_wrfout_d01_2009-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/qrh8sk
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-10_06_std.nc
DOI: 10.7281/t1/1ecvb0/r2zm7x
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-08_00_std.nc
DOI: 10.7281/t1/1ecvb0/s0or8m
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-03_12_std.nc
DOI: 10.7281/t1/1ecvb0/tb59om
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/tujcft
title: DustOff-monthly-average_wrfout_d01_2002-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/upesby
title: DustOff-monthly-average_wrfout_d01_2002-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wub522
title: DustOn-monthly-standard-deviation_wrfout_d01_2004-05_00_std.nc
DOI: 10.17632/bskzyxmskp.1
title: Trust and trade: A cautionary tale of introducing social relations to support transactions

description: The lack of trust between buyers and sellers is considered a major barrier to online business. This study explores whether providing social relation information between buyers and sellers can facilitate their transactions in an otherwise largely anonymous online market. We exploit an opportunity to conduct a field experiment on a large Chinese online second-hand platform, in which we randomly select a group of users to provide them with their social relation information. We find that the transaction rate increases if the buyer and seller become aware that they share common friends with each other, but the effect of revealing a direct friendship relation between them on transactions turns out to be overwhelmingly negative. We propose that there are boundaries over social relation’s support for transactions, beyond which the revelation of social relation information could impede transactions.
DOI: 10.7281/t1/1ecvb0/3fcp9s
title: DustOn-monthly-standard-deviation_wrfout_d01_2005-07_06_std.nc
DOI: 10.7281/t1/1ecvb0/8ijmqr
title: DustOn-monthly-standard-deviation_wrfout_d01_2005-06_06_std.nc
DOI: 10.7281/t1/1ecvb0/8nzfur
title: DustOn-monthly-average_wrfout_d01_2010-08_12_mean.nc
DOI: 10.25549/one-ouc16650866
title: Warren L. S., letters (1967-1968)

description: Warren L. S., letters discussing more gatherings among like-minded individuals and offering up his home to host meetings in New York (1967-1968)
DOI: 10.15156/bio/sh1265591.08fu
title: SH1265591.08FU

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/sh1265592.08fu
title: SH1265592.08FU

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/sh1265593.08fu
title: SH1265593.08FU

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/sh1265594.08fu
title: SH1265594.08FU

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/sh1265595.08fu
title: SH1265595.08FU

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/sh1265596.08fu
title: SH1265596.08FU

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/sh1265597.08fu
title: SH1265597.08FU

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-ouc16650863
title: Bud S., letters (1959-1964)

description: Bud S., letters ordering books and placing ads in ONE magazine (1959-1964)
DOI: 10.15156/bio/sh1265598.08fu
title: SH1265598.08FU

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.