cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e109781v1
title: 1971-2002 Organization survey, a replication dataset.

description: The goal of the survey was to examine the determinants and
effects of corporate innovations in the realms of harassment prevention and workforce
diversity. Data come from a retrospective survey with a stratified random
national sample of establishments drawn from the 1999 EEO1 files, matched with confidential
government data from EEO1 reports on the workforce composition of surveyed establishments.
These confidential data can be obtained through an Intergovernmental Personnel Act
(IPA) agreement.
The sample was stratified by industry
(sampling equally from food, chemicals, computer equipment, transportation
equipment, wholesale trade, retail trade, insurance, business services, and
health services); by size (selecting 35% of the establishments with fewer than
500 employees in 1999); and by "age" in the EEO-1 dataset (we chose half of the sample from
establishments that had been in the dataset since at least 1980, and half from
those that had been in the dataset since at least 1992). Surveys were conducted with
human resources managers or general managers, who were asked about the adoption
of a list of personnel policies and programs and the years of adoption. The
survey was conducted in 2002 by the Princeton University Survey Research Center.
Additional information about the survey can be found in the Supporting
Information for the PNAS article related to these data. Full citation information
will be updated when it becomes available. Information is also available in: 

Kalev Alexandra, Frank Dobbin and Erin Kelly. (2006). Best Practices or Best Guesses? Assessing the Efficacy of Corporate
Affirmative Action and Diversity Policies. American Sociological
Review, 71(4), 589-617<br>
DOI: 10.7910/dvn/owtcyc/buxsbf
title: in05_10st_tab1.tab
DOI: 10.7910/dvn/owtcyc/kklhad
title: in05_07sv_tab1.tab
DOI: 10.7910/dvn/owtcyc/qyectt
title: in05_11ig.tab
DOI: 10.7910/dvn/owtcyc/sodxh3
title: in05_09df.tab
DOI: 10.7910/dvn/owtcyc/d2ypnk
title: in05_10st.tab
DOI: 10.7910/dvn/owtcyc/dmw8qj
title: in05_11ig_tab1.tab
DOI: 10.7910/dvn/owtcyc/fyccol
title: in05_06mc.tab
DOI: 10.7910/dvn/owtcyc/i6raav
title: in05_09df_tab1.tab
DOI: 10.7910/dvn/owtcyc/tsn5is
title: in05_08ld.tab
DOI: 10.7910/dvn/owtcyc/xdljkg
title: in05_10st_tab2.tab
DOI: 10.7910/dvn/owtcyc/1u9ufx
title: in05_04ia.tab
DOI: 10.7910/dvn/owtcyc/7ombns
title: in05_02ii_tab1.tab
DOI: 10.7910/dvn/owtcyc/cuz5eg
title: in05_02ii.tab
DOI: 10.7910/dvn/owtcyc/66sjpm
title: in05_03br_tab1.tab
DOI: 10.7910/dvn/owtcyc/debwze
title: in05_03br.tab
DOI: 10.7910/dvn/owtcyc/hnbdjg
title: in05_04ia_tab1.tab
DOI: 10.7910/dvn/owtcyc/orpsu8
title: in05_07sv.tab
DOI: 10.7910/dvn/owtcyc/qcevct
title: in05_05fd.tab
DOI: 10.7910/dvn/owtcyc/1msvbu
title: in05_02ii_tab2.tab
DOI: 10.7910/dvn/owtcyc/tps9qi
title: English Questionnaire.pdf

description: Survey Questionnaire - English Version
DOI: 10.7910/dvn/owtcyc/77adf4
title: Readme.pdf

description: Readme File
DOI: 10.7910/dvn/owtcyc/lddagd
title: Thai Questionnaire.pdf

description: Survey Questionnaire - Thai Version
DOI: 10.7910/dvn/owtcyc/qeevoi
title: IT2005-DataCodebook.pdf

description: Data Codebook
DOI: 10.7910/dvn/fbjx1d/mmoqg4
title: English Questionnaire.pdf

description: Survey Questionnaire - English Version
DOI: 10.7910/dvn/fbjx1d/np7j9d
title: Readme.pdf

description: Readme File
DOI: 10.7910/dvn/fbjx1d/ydpn2o
title: IT2006-DataCodebook.pdf

description: Data Codebook
DOI: 10.7910/dvn/fbjx1d/ze9szk
title: Thai Questionnaire.pdf

description: Survey Questionnaire - Thai Version
DOI: 10.7910/dvn/g2lx8l/w40d4t
title: Thai Questionnaire.pdf

description: Survey Questionnaire - Thai Version
DOI: 10.7910/dvn/g2lx8l/8cvgtn
title: English Questionnaire.pdf

description: Survey Questionnaire - English Version
DOI: 10.7910/dvn/g2lx8l/ngiklo
title: IT2007-DataCodebook.pdf

description: Data Codebook
DOI: 10.7910/dvn/g2lx8l/sl5gli
title: Readme.pdf

description: Readme File
DOI: 10.7910/dvn/yabaed/ghcqhb
title: in08_18ld67c.tab
DOI: 10.7910/dvn/yabaed/jlidhd
title: in08_18ld67a.tab
DOI: 10.7910/dvn/yabaed/sy3717
title: in08_17sv21c.tab
DOI: 10.7910/dvn/yabaed/vnfzbf
title: in08_18ld64a.tab
DOI: 10.7910/dvn/yabaed/gtxrgh
title: in08_18ld61c.tab
DOI: 10.7910/dvn/yabaed/p6p51o
title: in08_18ld61e.tab
DOI: 10.7910/dvn/yabaed/smlrjp
title: in08_17sv24c.tab
DOI: 10.7910/dvn/yabaed/zbirj5
title: in08_18ld64e.tab
DOI: 10.7910/dvn/yabaed/c5j0qn
title: in08_18ld61a.tab
DOI: 10.7910/dvn/yabaed/cvscyj
title: in08_17sv21a.tab
DOI: 10.7910/dvn/yabaed/mvzzwi
title: in08_18ld67e.tab
DOI: 10.7910/dvn/yabaed/r0a7xh
title: in08_18ld64c.tab
DOI: 10.18169/papdeott007886
title: Installationsdose und Installationsdosenanordnung mit einer solchen Installationsdose
DOI: 10.7910/dvn/yabaed/6q3fk6
title: in08_17sv17.tab
DOI: 10.7910/dvn/yabaed/e6rsfu
title: in08_15fd.tab
DOI: 10.7910/dvn/yabaed/kfzgwl
title: in08_12rf_tab3.tab
DOI: 10.7910/dvn/yabaed/urw4gn
title: in08_17sv24a.tab
DOI: 10.7910/dvn/yabaed/0jjvkq
title: in08_12rf_tab2.tab
DOI: 10.7910/dvn/yabaed/a7kegm
title: in08_14addin.tab
DOI: 10.7910/dvn/yabaed/ctllzs
title: in08_13fa_tab1.tab
DOI: 10.7910/dvn/yabaed/oh7myo
title: in08_12rf_tab1.tab
DOI: 10.7910/dvn/yabaed/r9vhvs
title: in08_16mc.tab
DOI: 10.7910/dvn/yabaed/chicwl
title: in08_09df_tab1.tab
DOI: 10.7910/dvn/yabaed/semwh6
title: in08_13fa.tab
DOI: 10.7910/dvn/yabaed/tkf1ch
title: in08_12rf.tab
DOI: 10.7910/dvn/yabaed/ayckcp
title: in08_11ig.tab
DOI: 10.7910/dvn/yabaed/cpkpo9
title: in08_07sv_tab1.tab
DOI: 10.7910/dvn/yabaed/k9egbi
title: in08_10st_tab3.tab
DOI: 10.7910/dvn/yabaed/55cvn4
title: in08_08ld.tab
DOI: 10.7910/dvn/yabaed/cfbb34
title: in08_11ig_tab1.tab
DOI: 10.7910/dvn/yabaed/gpmwlw
title: in08_09df.tab
DOI: 10.7910/dvn/yabaed/hsvsyn
title: in08_10st_tab1.tab
DOI: 10.7910/dvn/yabaed/zg6tht
title: in08_10st_tab2.tab
DOI: 10.7910/dvn/yabaed/9k8rb9
title: in08_04ia_tab1.tab
DOI: 10.7910/dvn/yabaed/a0wrlo
title: in08_10st.tab
DOI: 10.7910/dvn/yabaed/ibkkbz
title: in08_06mc.tab
DOI: 10.7910/dvn/yabaed/irhfmb
title: in08_04ia.tab
DOI: 10.7910/dvn/yabaed/sj4lkf
title: in08_03br_tab1.tab
DOI: 10.7910/dvn/yabaed/dbsuet
title: in08_07sv.tab
DOI: 10.7910/dvn/yabaed/owpcol
title: in08_02ii_tab2.tab
DOI: 10.7910/dvn/yabaed/pgorzj
title: in08_02ii_tab1.tab
DOI: 10.7910/dvn/yabaed/dgdx9z
title: in08_05fd.tab
DOI: 10.7910/dvn/yabaed/i4xcud
title: IT2008-DataCodebook.pdf

description: Data Codebook
DOI: 10.7910/dvn/yabaed/jjru8q
title: in08_03br.tab
DOI: 10.7910/dvn/yabaed/vcodau
title: in08_02ii.tab
DOI: 10.7910/dvn/4oiwe8/2oej3v
title: in03_09df_tab1.tab
DOI: 10.7910/dvn/4oiwe8/j3smhb
title: in03_13fa.tab
DOI: 10.7910/dvn/4oiwe8/j76hdr
title: in03_10st.tab
DOI: 10.7910/dvn/s0yjgi/1rltgo
title: Complementary Questions2009(R).tab
DOI: 10.7910/dvn/yabaed/m5qroe
title: English Questionnaire.pdf

description: Survey Questionnaire - English Version
DOI: 10.7910/dvn/yabaed/mukuc6
title: Readme.pdf

description: Readme File
DOI: 10.7910/dvn/yabaed/zx2usr
title: Thai Questionnaire.pdf

description: Survey Questionnaire - Thai Version
DOI: 10.7910/dvn/4oiwe8/2zycuj
title: in03_13fa_tab1.tab
DOI: 10.7910/dvn/4oiwe8/a5nr8z
title: in03_14addin.tab
DOI: 10.7910/dvn/4oiwe8/lk0v6o
title: in03_10st_tab2.tab
DOI: 10.7910/dvn/4oiwe8/nlxpm7
title: in03_12rf.tab
DOI: 10.7910/dvn/4oiwe8/ridftw
title: in03_10st_tab3.tab
DOI: 10.7910/dvn/4oiwe8/sqk8jn
title: in03_09df.tab
DOI: 10.7910/dvn/4oiwe8/xmzodv
title: in03_11ig_tab1.tab
DOI: 10.5281/zenodo.2843254
title: EconBiz Images for Text Extraction from Scholarly Figures

description: Scholarly figures are data visualizations like bar charts, pie charts, line graphs, maps, scatter plots or similar figures. Text extraction from scholarly figures is useful in many application scenarios, since text in scholarly figures often contains information that is not present in the surrounding text. This dataset is a corpus of 121 scholarly figures from the economics domain evaluating text extraction tools. We randomly extracted these figures from a corpus of 288,000 open access publications from EconBiz. The dataset resembles a wide variety of scholarly figures from bar charts to maps. We manually labeled the figures to create the gold standard.

We adjusted the provided gold standard to have a uniform format for all datasets. Each figure is accompanied by a TSV file (tab-separated values) where each entry corresponds to a text line which has the following structure:


	X-coordinate of the center of the bounding box in pixel
	Y-coordinate of the center of the bounding box in pixel
	Width of the bounding box in pixel
	Height of the bounding box in pixel
	Rotation angle around its center in degree
	Text inside the bounding box


In addition we provide the ground truth in JSON format. A schema file is included in each dataset as well. The dataset is accompanied with a ReadMe file with further information about the figures and their origin.

If you use this dataset in your own work, please cite one of the papers in the references.
description: {"references": ["B\u00f6schen, F. & Scherp, A. Amsaleg L., Gu\u00f0mundsson G., Gurrin C., J\u00f3nsson B., Satoh S. (Ed.) A Comparison of Approaches for Automated Text Extraction from Scholarly Figures Proceedings Part I, Multimedia Modeling - 23rd International Conference MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Springer, 2017, 15-27", "B\u00f6schen, F. & Scherp, A. Bergmann, R.; G\u00f6rg, S. & M\u00fcller, G. (Ed.) Formalization and Preliminary Evaluation of a Pipeline for Text Extraction From Infographics Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., CEUR-WS.org,2015, 1458, 20-31", "B\u00f6schen, F. & Scherp, A. Vanoirbeek, C. & Genev\u00e8s, P. (Eds.) Multi-oriented Text Extraction from Information Graphics Proceedings of the 2015 ACM Symposium on Document Engineering, DocEng 2015, Lausanne, Switzerland, September 8-11, 2015, ACM, 2015, 35-38"]}
DOI: 10.7910/dvn/4oiwe8/aeeuy1
title: in03_03br.tab
DOI: 10.7910/dvn/4oiwe8/gnvgyr
title: in03_08ld.tab
DOI: 10.7910/dvn/4oiwe8/udse7k
title: in03_07sv.tab
DOI: 10.7910/dvn/4oiwe8/y3m05n
title: in03_04ia_tab1.tab
DOI: 10.5281/zenodo.2843253
title: EconBiz Images for Text Extraction from Scholarly Figures

description: Scholarly figures are data visualizations like bar charts, pie charts, line graphs, maps, scatter plots or similar figures. Text extraction from scholarly figures is useful in many application scenarios, since text in scholarly figures often contains information that is not present in the surrounding text. This dataset is a corpus of 121 scholarly figures from the economics domain evaluating text extraction tools. We randomly extracted these figures from a corpus of 288,000 open access publications from EconBiz. The dataset resembles a wide variety of scholarly figures from bar charts to maps. We manually labeled the figures to create the gold standard.

We adjusted the provided gold standard to have a uniform format for all datasets. Each figure is accompanied by a TSV file (tab-separated values) where each entry corresponds to a text line which has the following structure:


	X-coordinate of the center of the bounding box in pixel
	Y-coordinate of the center of the bounding box in pixel
	Width of the bounding box in pixel
	Height of the bounding box in pixel
	Rotation angle around its center in degree
	Text inside the bounding box


In addition we provide the ground truth in JSON format. A schema file is included in each dataset as well. The dataset is accompanied with a ReadMe file with further information about the figures and their origin.

If you use this dataset in your own work, please cite one of the papers in the references.
description: {"references": ["B\u00f6schen, F. & Scherp, A. Amsaleg L., Gu\u00f0mundsson G., Gurrin C., J\u00f3nsson B., Satoh S. (Ed.) A Comparison of Approaches for Automated Text Extraction from Scholarly Figures Proceedings Part I, Multimedia Modeling - 23rd International Conference MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Springer, 2017, 15-27", "B\u00f6schen, F. & Scherp, A. Bergmann, R.; G\u00f6rg, S. & M\u00fcller, G. (Ed.) Formalization and Preliminary Evaluation of a Pipeline for Text Extraction From Infographics Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., CEUR-WS.org,2015, 1458, 20-31", "B\u00f6schen, F. & Scherp, A. Vanoirbeek, C. & Genev\u00e8s, P. (Eds.) Multi-oriented Text Extraction from Information Graphics Proceedings of the 2015 ACM Symposium on Document Engineering, DocEng 2015, Lausanne, Switzerland, September 8-11, 2015, ACM, 2015, 35-38"]}
DOI: 10.7910/dvn/4oiwe8/29dqgb
title: in03_05fd.tab
DOI: 10.7910/dvn/4oiwe8/7mv2nd
title: in03_06mc.tab
DOI: 10.7910/dvn/4oiwe8/kwfgqr
title: in03_03br_tab1.tab
DOI: 10.7910/dvn/4oiwe8/olcrlt
title: in03_02ii_tab1.tab
DOI: 10.7910/dvn/4oiwe8/pjowzs
title: in03_02ii_tab2.tab
DOI: 10.7910/dvn/4oiwe8/wchjdt
title: in03_02ii.tab
DOI: 10.5523/bris.2wcebrf0io8wx2hbdxlv0wpmkf
title: Data from Sexual health information for MSM (05-2019)

description: Increasing rates of sexually transmitted infections (STIs) in men-who-have-sex-with-men (MSM) in England is a pressing public health concern. In this qualitative study, we explored the acceptability and potential uses and impacts of delivering sexual health information to MSM through social media and geosocial networking apps or dating apps.

Semi-structured interviews were conducted in person or by telephone with 25 English- resident MSM recruited via dating apps and social media advertisements. Interviews explored sexual health information sources, perceptions and uses. Attitudes towards sexual health promotion through social media and dating apps were then discussed. The data were analysed using thematic analysis.

Sexual health information delivery through social media and dating apps was viewed as acceptable. Receiving information when browsing social media was viewed positively by most, as people have time to absorb information discreetly. In contrast, concerns were expressed that sharing or commenting on social media sexual health information may lead to judgements and discrimination. While social media reaches a high proportion of the population, dating apps can easily target MSM and were considered more discreet than social media. However, tensions exist between the ability to provide information at an opportune time through dating apps, when users are connecting with new sexual partners, with the potential to adversely affect the app user�s experience. Hypothetical and actual uses and impacts of sexual health information ranged from no impact to reading information, sharing with peers, and increased awareness, to influencing healthcare-seeking, decision-making and risk-taking behaviours.

These findings support the use of dating apps and social media for sexual health promotion. More research is needed to develop interventions using these platforms and to evaluate the specific impact of such health promotion activities.
DOI: 10.7910/dvn/4oiwe8/khnjun
title: in03_01cvr_tab2.tab
DOI: 10.7910/dvn/4oiwe8/yc1ffd
title: in03_04ia.tab
DOI: 10.7910/dvn/4oiwe8/zmmzzf
title: in03_01cvr.tab
DOI: 10.7910/dvn/4oiwe8/uikbdv
title: in03_07sv_tab1.tab
DOI: 10.7910/dvn/4oiwe8/wckom4
title: in03_01cvr_tab1.tab
DOI: 10.5281/zenodo.2842940
title: bbarres/drosoMethod: Supporting data and code for: How to create a reliable and reproducible insecticide resistance bioassay? An example on the worldwide invasive pest, Drosophila suzukii.

description: This is the first draft of the code used for the analyses and figures production of the article entitled "How to create a reliable and reproducible insecticide resistance bioassay? An example on the worldwide invasive pest, Drosophila suzukii"
DOI: 10.5519/qd.ylhvs9l3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (32777 records)
DOI: 10.5281/zenodo.2842331
title: ReimagineReview data

description: An export of data about innovative peer review experiments and platforms hosted on reimaginereview.asapbio.org.
description: This work was supported by a grant from CZI.
DOI: 10.5286/isis.e.rb1910139
title: Internal stresses in superconducting bulk magnets studied by in situ neutron diffraction

description: Bulk high temperature superconductors are useful for permanent magnet applications because they can generate much stronger magnetic fields than ferromagnets and are more compact than wound magnets.  These properties can be exploited in electrical machines with high power-to-weight ratio for the aerospace industry and in biomedical applications such as MRI and novel magnetic drug targeting therapies.  When magnetised, these ceramics  are subjected to considerable internal tensile stresses. Their poor mechanical properties in tension result in the magnets failing as a result of cracking before their maximum field is reached. We will measure the elastic strains in the different phases of superconducting bulk magnets during and after energisation in an external magnetic field using in-situ neutron diffraction and will correlate this with numerical models to determine the onset of cracking.
DOI: 10.7910/dvn/fwaz60/n8z8vh
title: Crosscutting Measures Final Oct 2010.xls

description: This Excel file contains information on each country in the dataset, data on which surveys were used in their compilation, including technical information. Cross-tabulations for each country index are also included.
DOI: 10.5286/isis.e.rb1910139-1
title: Internal stresses in superconducting bulk magnets studied by in situ neutron diffraction

description: Bulk high temperature superconductors are useful for permanent magnet applications because they can generate much stronger magnetic fields than ferromagnets and are more compact than wound magnets.  These properties can be exploited in electrical machines with high power-to-weight ratio for the aerospace industry and in biomedical applications such as MRI and novel magnetic drug targeting therapies.  When magnetised, these ceramics  are subjected to considerable internal tensile stresses. Their poor mechanical properties in tension result in the magnets failing as a result of cracking before their maximum field is reached. We will measure the elastic strains in the different phases of superconducting bulk magnets during and after energisation in an external magnetic field using in-situ neutron diffraction and will correlate this with numerical models to determine the onset of cracking.
DOI: 10.7910/dvn/l99p1o/0tokbb
title: WibbelsAhlquistISQ2011data.csv

description: Dataframe.  See paper for data definitions and sources.
DOI: 10.5519/qd.gpxs6gun
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (19 records)
DOI: 10.7910/dvn/smpk2n/3klwoy
title: Ziblatt Arsenschek.tab
DOI: 10.5255/ukda-sn-853740
title: Benchmarked municipal water price data for Kingdom of Saudi Arabia 2011-2015
DOI: 10.26093/cds/vizier.17530022
title: Swift/UVOT observations of SN 2011fe

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A Swift look at SN 2011fe: the earliest ultraviolet observations of a type Ia supernova.' (bibcode: 2012ApJ...753...22B)
DOI: 10.15156/bio/sh1853247.08fu
title: SH1853247.08FU

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/sh1853248.08fu
title: SH1853248.08FU

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/sh2830324.08fu
title: SH2830324.08FU

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/sh2830325.08fu
title: SH2830325.08FU

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.