cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6eecgix/rxec8w
title: plane_5.jpg
DOI: 10.25346/s6eecgix/tt5j2w
title: plane_4.jpg
DOI: 10.25346/s6eecgix/vnozse
title: plane_3.jpg
DOI: 10.25346/s6eecgix/tni8mf
title: plane_2.jpg
DOI: 10.25346/s6eecgix/atruwo
title: plane_1.jpg
DOI: 10.25346/s6eecgix/a9fuyv
title: plane_0.jpg
DOI: 10.25346/s6eecgix/kkoukw
title: openlime.min.js
DOI: 10.25346/s6eecgix/fnblpa
title: info.json
DOI: 10.25346/s6eecgix/sqxnqr
title: index.html
DOI: 10.25346/s6eecgix/5l0yiy
title: skin.svg
DOI: 10.25346/s6eecgix/cdbzmg
title: skin.css
DOI: 10.25346/s6eecgix/ebpvoq
title: plane_3.jpg
DOI: 10.25346/s6eecgix/ailvz3
title: plane_2.jpg
DOI: 10.25346/s6eecgix/tcll1n
title: plane_1.jpg
DOI: 10.25346/s6eecgix/oj42rj
title: plane_0.jpg
DOI: 10.25346/s6eecgix/ux5f27
title: openlime.min.js
DOI: 10.25346/s6eecgix/mhlv4w
title: info.json
DOI: 10.25346/s6eecgix/jkyaaz
title: index.html
DOI: 10.25346/s6eecgix/ac1ujt
title: skin.svg
DOI: 10.25346/s6eecgix/wsbjzt
title: skin.css
DOI: 10.26023/39y4-9rab-5a0k
title: ACCLIP: Anmyeon Ozonesonde Data. Version 2.0

description: Vertical profiles from daily ozonesonde balloon soundings conducted from Anmyeon, South Korea during the Asian Summer Monsoon Chemical and Climate Project (ACCLIP) campaign. Balloons provide vertical profiles of ozone and meteorological parameters.
DOI: 10.25346/s6eecgix/2uog2p
title: plane_8.jpg
DOI: 10.25346/s6eecgix/dtsr1u
title: plane_7.jpg
DOI: 10.25346/s6eecgix/4z6yb7
title: plane_6.jpg
DOI: 10.25346/s6eecgix/1u4sj7
title: plane_5.jpg
DOI: 10.25346/s6eecgix/w09na6
title: plane_4.jpg
DOI: 10.25346/s6eecgix/mvqtdh
title: plane_3.jpg
DOI: 10.25346/s6eecgix/rhznby
title: plane_2.jpg
DOI: 10.25346/s6eecgix/ghqmne
title: plane_1.jpg
DOI: 10.25346/s6eecgix/etytdh
title: plane_0.jpg
DOI: 10.25346/s6eecgix/cyieyt
title: openlime.min.js
DOI: 10.25346/s6eecgix/uddhmo
title: materials.png
DOI: 10.25346/s6eecgix/11qvhp
title: info.json
DOI: 10.25346/s6eecgix/4ig4wp
title: index.html
DOI: 10.25346/s6eecgix/9ia4id
title: msXL_323r.relight
DOI: 10.25346/s6eecgix/unemj1
title: msXL_323r_65_49.jpg
DOI: 10.25346/s6eecgix/d2dn4u
title: msXL_323r_65_48.jpg
DOI: 10.25346/s6eecgix/t6zjjx
title: msXL_323r_65_47.jpg
DOI: 10.25346/s6eecgix/dgekur
title: msXL_323r_65_46.jpg
DOI: 10.25346/s6eecgix/bc28na
title: msXL_323r_65_45.jpg
DOI: 10.25346/s6eecgix/kti70g
title: msXL_323r_65_44.jpg
DOI: 10.25346/s6eecgix/zpjz4e
title: msXL_323r_65_43.jpg
DOI: 10.25346/s6eecgix/mixqcg
title: msXL_323r_65_42.jpg
DOI: 10.25346/s6eecgix/hkmwaq
title: msXL_323r_65_41.jpg
DOI: 10.25346/s6eecgix/cuzvdu
title: msXL_323r_65_40.jpg
DOI: 10.25346/s6eecgix/cbz63t
title: msXL_323r_65_39.jpg
DOI: 10.25346/s6eecgix/q57zsc
title: msXL_323r_65_38.jpg
DOI: 10.25346/s6eecgix/bhd7hg
title: msXL_323r_65_37.jpg
DOI: 10.25346/s6eecgix/wrfc75
title: msXL_323r_48_36.jpg
DOI: 10.25346/s6eecgix/gg7ccr
title: msXL_323r_48_35.jpg
DOI: 10.25346/s6eecgix/xag3bw
title: msXL_323r_48_34.jpg
DOI: 10.25346/s6eecgix/u82qcb
title: msXL_323r_48_33.jpg
DOI: 10.25346/s6eecgix/briih6
title: msXL_323r_48_32.jpg
DOI: 10.25346/s6eecgix/sxdu9p
title: msXL_323r_48_31.jpg
DOI: 10.25346/s6eecgix/vnpvyt
title: msXL_323r_48_30.jpg
DOI: 10.25346/s6eecgix/mlgscw
title: msXL_323r_48_29.jpg
DOI: 10.25346/s6eecgix/q2ub9i
title: msXL_323r_48_28.jpg
DOI: 10.25346/s6eecgix/7mtoro
title: msXL_323r_48_27.jpg
DOI: 10.25346/s6eecgix/0ldkvw
title: msXL_323r_48_26.jpg
DOI: 10.25346/s6eecgix/b467dp
title: msXL_323r_48_25.jpg
DOI: 10.25346/s6eecgix/bgwgwj
title: msXL_323r_31_24.jpg
DOI: 10.25346/s6eecgix/8ngfzu
title: msXL_323r_31_23.jpg
DOI: 10.25346/s6eecgix/m2d7av
title: msXL_323r_31_22.jpg
DOI: 10.25346/s6eecgix/wbrpsi
title: msXL_323r_31_21.jpg
DOI: 10.25346/s6eecgix/0efbdu
title: msXL_323r_31_20.jpg
DOI: 10.25346/s6eecgix/okjlqb
title: msXL_323r_31_19.jpg
DOI: 10.25346/s6eecgix/9xwlr1
title: msXL_322v_31_17.jpg
DOI: 10.25346/s6eecgix/tp8xpu
title: msXL_322v_31_16.jpg
DOI: 10.34740/kaggle/dsv/13285184
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25346/s6eecgix/cyzidd
title: msXL_322v_31_15.jpg
DOI: 10.25346/s6eecgix/qocmwl
title: msXL_322v_31_14.jpg
DOI: 10.25346/s6eecgix/y9bsel
title: msXL_322v_31_13.jpg
DOI: 10.25346/s6eecgix/tzqbnt
title: msXL_322v_15_12.jpg
DOI: 10.25346/s6eecgix/zwch9i
title: msXL_322v_15_11.jpg
DOI: 10.25346/s6eecgix/bos7pt
title: msXL_322v_15_10.jpg
DOI: 10.25346/s6eecgix/n25qb0
title: msXL_322v_15_09.jpg
DOI: 10.25346/s6eecgix/oqty9d
title: msXL_322v_15_08.jpg
DOI: 10.26023/sbqr-hpjv-3v08
title: ACCLIP: Palau Ozonesonde Data. Version 1.0

description: Vertical profiles from ozonesonde balloon soundings conducted every three or four days from the Palau Atmospheric Observatory during the Asian Summer Monsoon Chemical and Climate Project (ACCLIP) campaign. The balloons provide vertical profiles of ozone and meteorological parameters.
DOI: 10.7910/dvn/ik38sw
title: DISDEM-ECOPOL Spain Protest Dataset, 2000-2020
title: Protest Events in Spain between 2000-2020

description: This dataset (N=4,623) contains data on protest events in Spain between 2000-2020, extracted from press reports published in the best-selling national general information newspapers: El País and El Mundo. The news search was carried out by reviewing the printed version of the issues, page by page. Protest events from 2000 to 2017 were coded by a team of four people trained in the framework of the project “Disobedient Democracy: A Comparative Analysis of Contentious Politics in European Semi-periphery” (DISDEM) led by Danijela Dolenec. Protest events from 2018 to 2020 were coded by a member of that team following the same instructions in the framework of the project “The Evolution of Spanish Contention: A Longitudinal Analysis of Social Movements and Protest, 2000-2020” (ECOPOL) led by Eduardo Romanos. This is the public version of the dataset, published on 6 October 2025
description: Python
description: Excel
description: There are three restricted files in this dataset.
DOI: 10.5281/zenodo.17282804
title: CLINICAL TRIALS IN FORENSIC MEDICINE: INNOVATIONS AND PROBLEMS
DOI: 10.5281/zenodo.17282805
title: CLINICAL TRIALS IN FORENSIC MEDICINE: INNOVATIONS AND PROBLEMS
DOI: 10.7910/dvn/guzad4
title: Structural Characteristics for Sustainable Commitments: Archetypes of Nationally Determined Contributions in 145 Countries

description: This dataset provides the original data for the study "Structural Characteristics for Sustainable Commitments: Archetypes of Nationally Determined Contributions in 145 Countries."
DOI: 10.26023/dp1p-c32k-yj05
title: Trajectory-derived Convective Influence for ACCLIP Airborne In Situ Observations. Version 1.1

description: Location and time scales of most recent convective influence for the air masses sampled by the NSF/NCAR GV and NASA WB-57 aircraft during the ACCLIP (Asian summer monsoon Chemical and Climate Impact Project) campaign in August 2022. Statistics were derived using a suite of backward trajectories using the TRAJ3D model.
DOI: 10.7910/dvn/5i9qgv
title: Enlaces Ciudadanos - Government of Ecuador 2007-2017

description: This dataset compiles the location of the Enlaces Ciudadanos held by the Government of Ecuador between 2007 and 2017.
DOI: 10.21979/n9/yxqe4n
title: Van der Waals Heterojunction between a Bottom-Up Grown Doped Graphene Quantum Dot and Graphene for Photoelectrochemical Water Splitting

description: Van der Waals Heterojunction between a Bottom-Up Grown Doped Graphene Quantum Dot and Graphene for Photoelectrochemical Water Splitting
DOI: 10.26023/tj7c-s0za-zv0y
title: ACCLIP: Georgia Tech Chemical Ionization Mass Spectrometer (GTCIMS) Data. Version 1.0

description: Measurements of acidic gases including sulfur dioxide (SO2), nitric acid (HNO3), hydrochloric acid (HCl) and pernitric acid (HO2NO2) measured by the Georgia Tech ChemicalIonization Mass Spectrometer (GT-CIMS) onboard the NSF/NCAR GV aircraft during the ACCLIP campaign in August 2022.
DOI: 10.7910/dvn/tyqqh9
title: Green premium in housing market

description: This dataset is associated with the manuscript titled “Uncovering the Price Premium of Mandatory Green Building Certification in the Korean Housing Market,” which has not yet been published. (Manuscript under review)
DOI: 10.5281/zenodo.17231579
title: RainSense_part1_clear
DOI: 10.5281/zenodo.17231580
title: RainSense_part1_clear
DOI: 10.26023/t7rt-01yd-a110
title: ACCLIP: ERC Instrument for Chemical composition of Aerosols - Aerosol Mass Spectrometer (ERICA-AMS) Data. Version 2.0

description: Mass concentrations of non-refractory particle compounds (nitrate, sulfate, ammonium and organics), measured by the ERICA-AMS (ERC Instrument for Chemical composition of Aerosols - Aerosol Mass Spectrometer) onboard the NSF/NCAR GV aircraft during the ACCLIP campaign in August 2022.
DOI: 10.7910/dvn/xgtwsj
title: Quanser Experimental Dataset

description: All data were recorded in real-time using the Quanser© active suspension platform. Data is provided in raw form to allow full reproducibility of the results. Each Excel file contains columns for each road disturbance profile: Step – Stairs – Sinewave – Variable frequency – Bump. Within each, columns are organized for the four control strategies: Passive, PID, Fuzzy Logic (FL), and Hybrid FPID. The Body Displacement Data.xlsx contains the vertical displacement of the sprung mass (car body) for all disturbance profiles and controllers. The unit is meters (m). The Acceleration Data.xlsx contains the vertical acceleration of the sprung mass. The unit is meters per second squared (m/s²). The Actuator Forces Data.xlsx contains the actuator force applied by the active suspension system. The unit is Newton (N). The Body Velocity Data.xlsx contains the vertical velocity of the sprung mass. The unit is meters per second (m/s). The Vertical Displacement Error Data.xlsx contains the vertical displacement error (difference between road input and sprung mass displacement) for all disturbance profiles and controllers. The unit is meters (m). The Tire Displacement Data.xlsx contains the vertical displacement of the unsprung mass (wheel). the unit is meters (m).
DOI: 10.7910/dvn/gucxie
title: Environmental Monitoring

description: This data was use to investigate whether and how the adoption of such monitoring affects the design of executive pay and broader accountability
DOI: 10.26023/bn0z-chgg-pd0b
title: ACCLIP: ERC Instrument for Chemical composition of Aerosols - Laser Ablation Mass Spectrometer (ERICA-LAMS) Data. Version 1.0

description: Bipolar mass spectra and associated vacuum aerodynamic diameter of individual particles obtained by the ERICA-LAMS (ERC Instrument for Chemical composition of Aerosols - Laser Ablation Mass Spectrometer) onboard the NSF/NCAR GV aircraft during the ACCLIP campaign in August 2022.
DOI: 10.7910/dvn/4m0kwu
title: Replication Data for: Comparing Weibull and Markov Models for Reliability and Risk-Based Asset Management of Wastewater Lift Stations

description: This deposit contains the replication materials for the aforementioned study. Due to the sensitive nature of the original data, which details critical public infrastructure, a synthetic dataset has been provided. This dataset was generated to mirror the statistical properties and relationships of the original data from Sugar Land, Texas, but contains entirely artificial records that cannot be traced back to the actual city infrastructure.
DOI: 10.21979/n9/lfbaf8
title: Ultrastructure and nuclear architecture of telomeric chromatin revealed by correlative light and electron microscopy

description: This dataset contains data pertinent to Hübner et al., NAR, 2022: Ultrastructure and nuclear architecture of telomeric chromatin revealed by correlative light and electron microscopy.
DOI: 10.5281/zenodo.17282784
title: Soil Moisture and Runoff Prediction for 1982–2100 in Ethiopia Using Random Forest Models
DOI: 10.5281/zenodo.17282785
title: Soil Moisture and Runoff Prediction for 1982–2100 in Ethiopia Using Random Forest Models
DOI: 10.26023/5qmq-g5p6-d60j
title: SWEX: SJSU LiDAR Data. Version 1.0

description: SJSU LiDAR data collected during the SWEX (Sundowner Winds Experiment) field project from 29 March through 15 May 2022. Dataset contains wind profiles taken continuously every 10 minutes for 5 second intervals, RHI scans taken every 5 minutes for 7 second intervals, and Stare scans taken continuously in 1-second intervals for 1-hour.
DOI: 10.15468/dl.q44uh5
title: Occurrence Download

description: A dataset containing 503600 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpinus betulus L."
 ]
}

 The dataset includes 503600 records from 2554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059780-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh8bet
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andinomys edax"
 ]
}

 The dataset includes 318 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071519-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.29637.31203
title: RRR-P018- GHESAH PERSIAN CURVE – APPLIED IN ANALYSIS OF TWO STATES DATA آغاز پژوهش و افتادن روی غلطک دانش کاربرد منحنی فارسی در تحلیل داده های پدیده دو حالتی RRR-EP012-1 PERSIAN AND AMERICAN DESIGN CURVES
DOI: 10.5281/zenodo.18136530
title: IJTIMOIY TADBIRKORLIKNING MAZMUN-MOHIYATI VA JAMIYAT RIVOJIDAGI AMALIY AHAMIYATI
DOI: 10.5281/zenodo.18136531
title: IJTIMOIY TADBIRKORLIKNING MAZMUN-MOHIYATI VA JAMIYAT RIVOJIDAGI AMALIY AHAMIYATI
DOI: 10.34740/kaggle/dsv/14377775
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.5vntjk
title: Occurrence Download

description: A dataset containing 346568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.5 47.562,-88.157 47.562,-88.157 48.46,-89.5 48.46,-89.5 47.562))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 346568 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071517-251120083545085/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.21859920
title: <b>A Long-Term (1984-2021) </b><b>Wetland Classification Dataset </b><b>for the Yangtze River Basin from Continuous Landsat Image Collections</b>

description: The wetland classification maps of YRB downstream, middle stream and upstream with 30m resolution between 1984-2021 are available in the Geotiff format. The dataset is provided in ESPG:4326 (WGS_1984) spatial reference system. The maps can be visualized in ArcGIS, QGIS or other similar software.The published research article of this dataset:https://doi.org/10.1016/j.teadva.2024.200111
DOI: 10.6084/m9.figshare.21859920.v2
title: <b>A Long-Term (1984-2021) </b><b>Wetland Classification Dataset </b><b>for the Yangtze River Basin from Continuous Landsat Image Collections</b>

description: The wetland classification maps of YRB downstream, middle stream and upstream with 30m resolution between 1984-2021 are available in the Geotiff format. The dataset is provided in ESPG:4326 (WGS_1984) spatial reference system. The maps can be visualized in ArcGIS, QGIS or other similar software.The published research article of this dataset:https://doi.org/10.1016/j.teadva.2024.200111
DOI: 10.6084/m9.figshare.21859920.v1
title: <b>A Long-Term (1984-2021) </b><b>Wetland Classification Dataset </b><b>for the Yangtze River Basin from Continuous Landsat Image Collections</b>

description: The wetland classification maps of YRB downstream, middle stream and upstream with 30m resolution between 1984-2021 are available in the Geotiff format. The dataset is provided in ESPG:4326 (WGS_1984) spatial reference system. The maps can be visualized in ArcGIS, QGIS or other similar software.The published research article of this dataset:https://doi.org/10.1016/j.teadva.2024.200111
DOI: 10.5281/zenodo.18136478
title: Structured Observation and Visual Documentation of the Ondel-ondel Making Process in Jakarta, Indonesia

description: This dataset contains structured observational data and visual documentation of the Ondel-ondel making process, a traditional Betawi cultural performance art from Jakarta, Indonesia. The dataset was collected through systematic field observation and visual recording to document production stages, material usage, manual techniques, and aesthetic characteristic of Ondel-ondel figures. 

The data consist of: 



Structured observation sheets that record sequential production stage, tools, materials, and contextual information. 

Photographic images capturing key moments of the crafting process, including bamboo frame construction, head installation, facial painting, costume dressing, ornament attachment, and final preparation for public display.


Each visual file is linked to spesific observation stages using standardized identifiers. 

 
description: Data were collected through observation sheets and visual recording during on-site documentation of Ondel-ondel production. Observations focused on production stages, techniques, materials, and visual attributes. Visual data were cross-referenced with observation records to ensure consistency and reliability. 
description: Data format: 



Structured observation tables

Visual data


Metadata documentation
description: Reuse Potential

The dataset can be reused for:



Comparative studies of traditional and contemporary craft processes. 

Visual anthropology and ethnographic research. 

Cultural heritage preservation and documentation. 

Design education and process-based learning materials.

Open datasets for arts and humanities research.
DOI: 10.5281/zenodo.18136479
title: Structured Observation and Visual Documentation of the Ondel-ondel Making Process in Jakarta, Indonesia

description: This dataset contains structured observational data and visual documentation of the Ondel-ondel making process, a traditional Betawi cultural performance art from Jakarta, Indonesia. The dataset was collected through systematic field observation and visual recording to document production stages, material usage, manual techniques, and aesthetic characteristic of Ondel-ondel figures. 

The data consist of: 



Structured observation sheets that record sequential production stage, tools, materials, and contextual information. 

Photographic images capturing key moments of the crafting process, including bamboo frame construction, head installation, facial painting, costume dressing, ornament attachment, and final preparation for public display.


Each visual file is linked to spesific observation stages using standardized identifiers. 

 
description: Data were collected through observation sheets and visual recording during on-site documentation of Ondel-ondel production. Observations focused on production stages, techniques, materials, and visual attributes. Visual data were cross-referenced with observation records to ensure consistency and reliability. 
description: Data format: 



Structured observation tables

Visual data


Metadata documentation
description: Reuse Potential

The dataset can be reused for:



Comparative studies of traditional and contemporary craft processes. 

Visual anthropology and ethnographic research. 

Cultural heritage preservation and documentation. 

Design education and process-based learning materials.

Open datasets for arts and humanities research.
DOI: 10.15468/dl.8eva9s
title: Occurrence Download

description: A dataset containing 79034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anchovia clupeoides"
 ]
}

 The dataset includes 79034 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071512-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8hzas
title: Occurrence Download

description: A dataset containing 24694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jynx torquilla, Sasia ochracea, Picumnus innominatus, Blythipicus pyrrhotis, Chrysocolaptes guttacristatus, Chrysocolaptes festivus, Dinopium shorii, Dinopium benghalense, Gecinulus grantia, Micropternus brachyurus, Chrysophlegma flavinucha, Picus chlorolophus, Picus xanthopygaeus, Picus squamatus, Mulleripicus pulverulentus, Yungipicus canicapillus, Yungipicus nanus, Leiopicus mahrattensis, Dendrocoptes auriceps, Veniliornis callonotus, Dendrocopos hyperythrus, Dendrocopos macei, Dendrocopos darjellensis, Dendrocopos himalayensis)",
 "Country is Nepal",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 24694 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071521-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.36348.19840
title: II STEPS Analysis of PERS008-3S5 18 1 10 Real World Data by the Persian Curve (PC) II STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.15156/bio/sh0212802.10fu
title: SH0212802.10FU

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/sh0212803.10fu
title: SH0212803.10FU

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.