cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0196046.10fu
title: SH0196046.10FU

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/sh0196047.10fu
title: SH0196047.10FU

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/sh0196048.10fu
title: SH0196048.10FU

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/sh0196049.10fu
title: SH0196049.10FU

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/sh0196050.10fu
title: SH0196050.10FU

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/sh0196051.10fu
title: SH0196051.10FU

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/sh0196052.10fu
title: SH0196052.10FU

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/sh0196053.10fu
title: SH0196053.10FU

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: 10.1594/ieda/313387
title: Processed ship-based Navigation Data acquired during the Vema expedition V3311 (1976)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V3311 conducted in 1976 (Chief Scientist: Dr. Manik Talwani). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.26022/ieda/322552
title: Processed Swath Bathymetry Data acquired during R/V Robert D. Conrad expedition RC2710 (1986)

description: This data set was acquired with a SeaBeam Instruments Classic Multibeam Sonar during R/V Robert D. Conrad expedition RC2710 conducted in 1986 (Chief Scientist: Dr. Carol Raymond). These data files are of MBSystem-compatible format and include Swath Bathymetry data that were processed after acquisition. This data was processed by the GMRT Team and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 3.2).
DOI: 10.1594/ieda/312591
title: Processed ship-based Navigation Data acquired during the Roger Revelle expedition CNTL10RR (2003)

description: This data set was acquired with a ship-based Navigation system during Roger Revelle expedition CNTL10RR conducted in 2003 (Chief Scientist: Dr. Douglas Luther). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Funding was provided by NSF grant(s): OCE98-19533.
DOI: 10.1594/ieda/305806
title: Raw ship-based Multibeam Sonar Data acquired during R/V Maurice Ewing expedition EW0410 (2004)

description: This data set was acquired with a ship-based Atlas Hydrosweep DS2 Multibeam Sonar system during Maurice Ewing expedition EW0410 conducted in 2004 (Chief Scientist: Dr. Gail Christeson). These data files are of MBSystem Compatible format and include Swath Bathymetry data that have not been processed. Data were acquired as part of the project(s): Correlation of Seismic Structure with Observed Outcrop Geology: MCS/OBS Investigation of Hess Deep and Blanco Transform, and funding was provided by NSF grant(s): OCE01-37286.
DOI: 10.1594/ieda/318603
title: Seismic Navigation Data (P2 format) from the Shatsky Rise, North Pacific Ocean, acquired during R/V Marcus G. Langseth expedition MGL1206 (2012)

description: This data set was acquired with the LDEO Multi-Channel Seismic system during R/V Marcus G. Langseth expedition MGL1206 conducted in 2012 (Chief Scientist: Dr. Jun Korenaga). These Seismic Navigation data files are of UKOOA P2/94 format. Data were acquired as part of the project: Collaborative Research: Geophysical Constraints on Mechanisms of Ocean Plateau Formation from Shatsky Rise, Northwest Pacific, and funding was provided by NSF grants: OCE09-26611 and OCE09-27001.
DOI: 10.1594/ieda/312109
title: Processed ship-based Navigation Data acquired during the Melville expedition GLOR03MV (1992)

description: This data set was acquired with a ship-based Navigation system during Melville expedition GLOR03MV conducted in 1992 (Chief Scientist: Dr. Donald Forsyth). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/320806
title: Underway Hydrographic, Weather and Ship-state Data (JGOFS) from Laurence M. Gould expedition LMG1311 (2013)

description: This data set was acquired with a ship-based Navigation system, Meteorological Sensor, Thermosalinograph, Fluorometer, and Echosounder Sonar during Laurence M. Gould expedition LMG1311 conducted in 2013 (Chief Scientist: Dr. Eugene Domack). These data files are of JGOFS format and include Bathymetry, Meteorological, Conductivity, Navigation, Temperature, Salinity, Infrared Radiation, Fluorescence, and Visible Radiation data. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input. Funding was provided by NSF grant(s): ANT11-43981.
DOI: 10.1594/ieda/307826
title: Raw CTD Data from the New Zealand Margin acquired during the Kilo Moana expedition KM0503 (2005)

description: This data set was acquired with a Sea-Bird SBE-911  CTD during Kilo Moana expedition KM0503 conducted in 2005 (Chief Scientist: Dr. Clark Alexander). These data files are of Text File (ASCII) CTD format and include Conductivity, Pressure, and Temperature data that have not been processed. Data were acquired as part of the project(s): Sediment Dynamics on the Actively Deforming Waipaoa Continental Slope: An Examination of A Dispersal System Sink, and funding was provided by NSF grant(s): OCE04-05726, OCE04-05785, OCE04-52166, and OCE06-46771.
DOI: 10.1594/ieda/313143
title: Processed ship-based Navigation Data acquired during the Vema expedition V2305 (1966)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V2305 conducted in 1966 (Chief Scientist: Dr. Thomas Aitken). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/311955
title: Processed ship-based Navigation Data  from Antarctica acquired during the Laurence M. Gould expedition LMG0707 (2007)

description: This data set was acquired with a ship-based Navigation system during Laurence M. Gould expedition LMG0707 conducted in 2007 (Investigator(s): Dr. Paul Olsgaard). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection. Data were acquired while the Laurence M. Gould was in transit.
DOI: 10.1594/ieda/321795
title: Underway Hydrographic, Weather and Ship-state Data (JGOFS) from the Antarctica: Scotia Sea acquired during the Nathaniel B. Palmer expedition NBP1410 (2014)

description: This data set was acquired with a ship-based Thermosalinograph, Navigation system, Fluorometer, Meteorological Sensor, and Echosounder Sonar during Nathaniel B. Palmer expedition NBP1410 conducted in 2014 (Chief Scientist: Dr. Edward Durbin). These data files are of JGOFS (ASCII) format and include Temperature, Navigation, Salinity, Bathymetry, Visible Radiation, Fluorescence, Conductivity, Infrared Radiation, and Meteorological data and were processed after data collection. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input.
DOI: 10.1594/ieda/314894
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Maurice Ewing expedition EW9405 (1994)

description: This data set was acquired with a ship-based Varian Inc. V75 Magnetometer, BellAerospace BGM-3 Gravimeter, and Atlas Hydrosweep DS Multibeam Sonar system during Maurice Ewing expedition EW9405 conducted in 1994 (Chief Scientist: Dr. John Orcutt). These data files are of MGD77 format and include Singlebeam Bathymetry, Magnetic Field, and Gravity Field data and were processed after data collection. Data were acquired as part of the project(s): The Internal Structure of the Clipperton Fracture Zone, and funding was provided by NSF grant(s): OCE93-02126 and OCE93-02184.
DOI: 10.1594/ieda/320937
title: Processed near-bottom Multibeam Sonar Data (version 1) from the East Pacific Rise at 9N acquired with ROV Jason II during the Atlantis expedition AT18-12 (2011)

description: This data set was acquired with a Reson SeaBat 7125 Multibeam Sonar system on the ROV Jason II during Atlantis expedition AT18-12 conducted in 2011 (Chief Scientist: Dr. Scott Nooner; Investigator(s): Dr. Vicki Ferrini, Dr. Scott Nooner, and Dr. Spahr Webb). These data files are of MBSystem-compatible format and include Acoustic Backscatter and Swath Bathymetry data that were processed using the open source MB-System multibeam sonar processing software. Data were acquired as part of the project(s): Recover bottom pressure recorders (BPRs), and funding was provided by NSF grant(s): OCE04-26575 and OCE06-47840.
DOI: 10.1594/ieda/307440
title: Ship-based Trackline Geophysical Data (MGD77) from the Ross Sea acquired during the Nathaniel B. Palmer expedition NBP0401 (2004)

description: This data set was acquired with a ship-based Gravimeter and Subbottom Profiler during Nathaniel B. Palmer expedition NBP0401 conducted in 2004 (Chief Scientist: Dr. Terry Wilson). These data files are of MGD77 format and include Bathymetry, Gravity (Field and Free Air Anomaly) data that were processed during the cruise. Data were acquired as part of the project(s): Neotectonic Structure of Terror Rift, Western Ross Sea, and funding was provided by NSF grant(s): OPP01-25624 and ANT01-26279
DOI: 10.1594/ieda/311939
title: Processed ship-based Navigation Data  from Antarctica acquired during the Laurence M. Gould expedition LMG0603A (2006)

description: This data set was acquired with a ship-based Navigation system during Laurence M. Gould expedition LMG0603A conducted in 2006 (Investigator(s): Dr. Dave Leger). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection. Data were acquired while the Laurence M. Gould was in transit.
DOI: 10.1594/ieda/312709
title: Processed ship-based Navigation Data acquired during the Surveyor expedition AMLR90T (1989)

description: This data set was acquired with a ship-based Navigation system during Surveyor expedition AMLR90T conducted in 1989 (Chief Scientist: Dr. William Turnbull). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Funding was provided by NSF grant(s): NOAA-XXX.
DOI: 10.1594/ieda/310518
title: Processed ship-based Navigation Data from the Galapagos Spreading Center acquired during the Atlantis II expedition A112-24 (1985)

description: This data set was acquired with a ship-based Navigation system during Atlantis II expedition A112-24 conducted in 1985 (Chief Scientist: Dr. Richard Hey). These data files are of Text File (ASCII)  format and include Navigation data and were processed after data collection. Funding was provided by NSF grant(s): OCE83-15364.
DOI: 10.1594/ieda/312421
title: Processed ship-based Navigation Data  from the Ross Sea acquired during the Nathaniel B. Palmer expedition NBP0803 (2008)

description: This data set was acquired with a ship-based Navigation system during Nathaniel B. Palmer expedition NBP0803 conducted in 2008 (Chief Scientist: Dr. Philip Bart). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection. Data were acquired as part of the project(s): Ross-Sea outer continental shelf morphology and near-surface stratigraphy: Quaternary ice-sheet grounding-zone migrations and stratigraphy: Quaternary ice-sheet grounding-zone migrations and the LGM dilemma., and funding was provided by NSF grant(s): ANT05-38475.
DOI: 10.1594/ieda/307200
title: Ship-based Trackline Geophysical Data (MGD77) from the Antarctic Peninsula acquired during the Nathaniel B. Palmer expedition NBP0107 (2001)

description: This data set was acquired with a ship-based Gravimeter and Subbottom Profiler, L and R Gravimeter, and Navigation system during Nathaniel B. Palmer expedition NBP0107 conducted in 2001 (Chief Scientist: Dr. Eugene Domack). These data files are of MGD77 format and include Bathymetry, Gravity (Field and Free Air Anomaly) data that were processed during the cruise. Data were acquired as part of the project(s): Global Climate Change and the Evolutionary Ecology of Antarctic Mollusks in the Late Eocene and Development of a Luminescence Dating Capability for Antarctic Glaciomarine Sediments: Tests of Signal Zeroing at the Antarctic Peninsula, and funding was provided by NSF grant(s): ANT00-03060, ANT99-08828, and ANT99-09665
DOI: 10.1594/ieda/312491
title: Processed ship-based Navigation Data  acquired during the Nathaniel B. Palmer expedition NBP9603 (1996)

description: This data set was acquired with a ship-based Navigation system during Nathaniel B. Palmer expedition NBP9603 conducted in 1996 (Chief Scientist: Dr. Jim Swift). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection. Data were acquired as part of the project(s): World Ocean Circulation Experiment (WOCE).
DOI: 10.1594/ieda/315315
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Vema expedition V1611 (1960)

description: This data set was acquired with a ship-based Magnetometer and Echosounder Sonar during Vema expedition V1611 conducted in 1960 (Chief Scientist: Dr. Maurice Ewing). These data files are of MGD77 format and include Magnetic Field and Singlebeam Bathymetry data and were processed after data collection.
DOI: 10.1594/ieda/320976
title: MR1 sidescan and phase bathymetry data (version 2), Northern Galapagos, Melville cruise MV1007 (2010)

description: Towed HMR-1 sidescan and phase bathymetry data (version 2) for the Northern Galapagos, collected in 2010 during Melville cruise MV1007 (investigator Karen Harpp). Bathymetry values have undergone basic cleaning to remove outliers. These data files were generated by the Hawaii Mapping Research Group (HMRG) and are in the HMRG Bathymetry/Sidescan (BS) format. The data files were acquired as part of the project called Plume-Ridge Interaction in the Northern Galapagos: Understanding mantle-lithosphere dynamics through geochemistry, geophysical mapping, and gravity modeling, with funding provided by NSF grant OCE09-26491.
DOI: 10.1594/ieda/319392
title: Processed ship-based Gravimeter Data from the Galapagos Spreading Center acquired during the Melville expedition MV1007 (2010)

description: This data set was acquired with a ship-based BellAerospace BGM-3 Gravimeter during Melville expedition MV1007 conducted in 2010 (Chief Scientist: Dr. Karen Harpp). These data files are of Text File (ASCII) format and include Gravity Free Air Anomaly data and were processed after data collection. Data were acquired as part of the project(s): FLAMINGO (Formation of Lineaments and Anomalous Magmatism In the Northern Galápagos Ocean), and funding was provided by NSF grant(s): OCE09-26491. This data was cited by Mittelstaedt et al., 2012.
DOI: 10.1594/ieda/320026
title: Processed ship-based Navigation Data from the Southern Ocean acquired during the Laurence M. Gould expedition LMG1302 (2013)

description: This data set was acquired with a ship-based Navigation system during Laurence M. Gould expedition LMG1302 conducted in 2013 (). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection. Data were acquired as part of the project(s): Cape Shirreff Close, COPA Close.
DOI: 10.1594/ieda/313137
title: Processed ship-based Navigation Data acquired during the Vema expedition V2302 (1966)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V2302 conducted in 1966 (Chief Scientist: Dr. Charles Windisch). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.