cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/9q6g6h
title: MIRC Valiant Shield Aerial Survey Aug 2007

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent sightings during large ship, small boat, aerial, shore-based between 2007 and 2013
DOI: 10.15468/axauf9
title: MIRC PIFSC Small Vessel Surveys Jun-Aug 2013

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent sightings from the PIFSC Small Vessel Surveys Jun-Aug 2013.
DOI: 10.15468/nnsrnn
title: MIRC NAVFAC Incidental Sightings - Aerial 1965-2014

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent incidental sightings from airplanes between 1965 and 2014.
DOI: 10.15468/753pd4
title: Red Sea Cetacean Review - Sightings

description: Original provider:
Tethys Research Institute

Dataset credits:
Marina Costa, Amina Cesario, Maddalena Fumagalli & Giuseppe Notarbartolo di Sciara, Tethys Research Institute
Chris Smeenk
Eritrea Project - Yohannes Mebrahtu
IMMRAC
Peter Rudolph
Red Sea Dolphin Project - HEPCA

Abstract:
Based on a review of the literature, complemented by original observations at sea made by the authors during the past 34 years, the cetacean fauna in the Red Sea appears to be composed by a total of 16 species: three Mysticetes (Bryde’s whale, Balaenoptera edeni; Omura’s whale, B. omurai; and humpback whale, Megaptera novaeangliae) and 13 Odontocetes (dwarf sperm whale, Kogia sima; killer whale, Orcinus orca; false killer whale, Pseudorca crassidens; short-finned pilot whale, Globicephala macrorhynchus; Risso’s dolphin, Grampus griseus; Indian Ocean humpback dolphin, Sousa plumbea; rough-toothed dolphin, Steno bredanensis; Indo-Pacific bottlenose dolphin, Tursiops aduncus; common bottlenose dolphin, T. truncatus; pantropical spotted dolphin, Stenella attenuata; spinner dolphin, S. longirostris; striped dolphin, S. coeruleoalba; Indo-Pacific common dolphin, Delphinus delphis tropicalis). This review presents the very first documented and confirmed sightings of B. omurai, K. sima and S. bredanensis in the Red Sea. Of all the above species, however, only nine (Bryde’s whale, false killer whale, Risso’s dolphin, Indian Ocean humpback dolphin, Indo-Pacific bottlenose dolphin, common bottlenose dolphin, pantropical spotted dolphin, spinner dolphin, and Indo-Pacific common dolphin) appeared to occur regularly in the Red Sea, the remaining seven only occurring sporadically as vagrants from the Indian Ocean. Even regular species appeared not to be uniformly distributed throughout the Red Sea, e.g., with Indo-Pacific common dolphins mostly limited to the southern portion of the region, and the Gulf of Suez only hosting the two bottlenose dolphin species and Indian Ocean humpback dolphins. No convincing evidence was found of the Red Sea occurrence of two whale species mentioned in the literature: the common minke whale, Balaenoptera acutorostrata, and the sperm whale, Physeter macrocephalus. The absence from the region of deep diving species (e.g., Ziphiidae and the sperm whale) can be explained by the geomorphology of the Straits of Bab al Mandab, with its extended shallow sill likely to discourage incursions by such species into the Red Sea. The coordinated effort and the different expertise of the authors has contributed to amend previous mistakes and inaccuracies, verify and validate specimen identification, highlight features of relevance for species taxonomy and, most importantly, draw a fundamental baseline to inform conservation of cetaceans in the Red Sea.
DOI: 10.15468/b3mvvu
title: Manx Basking Shark Watch 2017-2018 (aggregated per 1-degree cell)

description: Original provider:
Manx Basking Shark atch

Dataset credits:
Data provider
Manx Basking Shark Watch
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
Project partner
Dr Matt Witt of Exeter University has also been tagging basking sharks. He and his team very kindly analyse our tag data with theirs, adding huge value to our work. We have jointly published papers about this work in Nature Scientific Papers. See the paper here https://www.nature.com/articles/srep42837
Project sponsor or sponsor description
The Manx Government's Department of Environment, Fisheries and Agriculture (DEFA) generously supports the running costs of Happy Jack, the MBSW research boat.&lt;br&gt;&lt;br&gt;The Manx Lottery Trust very kindly sponsored Mae's SPOT tag.

Abstract:
Manx Basking Shark Watch is a charity with two aims &lt;br&gt;1: To study basking sharks.&lt;br&gt;2: To help the public to understand as much as possible about these enigmatic endangered animals and our work with them.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/r9q5w2
title: IMMS Ridley 9 (aggregated per 1-degree cell)

description: Original provider:
Institute for Marine Mammal Studies

Dataset credits:
Data provider
Institute for Marine Mammal Studies
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;

Abstract:
Turtles are an important component of the ecosystem, and may serve as a key biological indicator of the health of their environments. They are constantly impacted by a variety of both natural and anthropogenic factors.&lt;br&gt;Satellite telemetry is a powerful tool for examining short- and long-term movements of these protected species and enhancing conservation and management efforts. These observations will allow us to examine how much time these turtles actually spend in the Mississippi Sound and what microhabitats they utilize. The use of satellite tags on recently rehabilitated and released sea turtles will increase our knowledge about the daily activities and habitat fidelity of these animals.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/kku3qz
title: HRC USWEX Aerial-Based Monitoring Surveys 2007

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/pn3qk7
title: MIRC NAVFAC MISTCS Vessel Surveys Jan-Apr 2007

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent sightings from the NAVFAC MISTCS Vessel Surveys Jan-Apr 2007.
DOI: 10.15468/ckhqk6
title: HRC CETOS Vessel-Based Monitoring Surveys February 2005

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/qerqfz
title: MIRC PIFSC Large Vessel Surveys Jan-May 2010

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent sightings from the PIFSC Large Vessel Surveys Jan-May 2010.
DOI: 10.15468/j8c9hq
title: MIRC PIFSC Small Vessel Surveys Feb-Mar 2010

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent sightings from the PIFSC Small Vessel Surveys Feb-Mar 2010.
DOI: 10.15468/cbp6f5
title: HRC CRC Small Vessel-Based Monitoring Surveys December 2008

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/sdrv3h
title: HRC CRC Small Vessel-Based Monitoring Surveys March-April 2006

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/y44sz2
title: MIRC PIFSC CNMI Vessel Surveys May-Jul 2012

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent sightings from the PIFSC CNMI Vessel Surveys May-Jul 2012.
DOI: 10.15468/y8436n
title: HRC RIMPAC Aerial-Based Monitoring Surveys 2008

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/5suysw
title: HRC CETOS Vessel-Based Monitoring Surveys January 2007

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/q7amwd
title: Seguimiento de 10 crías de tortuga boba nacidas en 2016 en el litoral valenciano, en el marco del Proyecto LIFE 15 IPE ES 012 (aggregated per 1-degree cell)

description: Original provider:
Universitat Politècnica de València

Dataset credits:
Data provider: Seguimiento de juveniles de Tortuga boba; Originating data center: Satellite Tracking and Analysis Tool (STAT); Project sponsor or sponsor description: Universitat Politècnica de València

Abstract:
En los Ãºltimos aÃ±os se vienen detectando eventos de nidificaciÃ³n de tortuga boba en las costas del litoral espaÃ±ol, en lo que puede ser un mecanismo de colonizaciÃ³n de nuevas Ã¡reas de crÃ­a. Al tratarse de una especie protegida y en un estado de conservaciÃ³n deficiente son necesarias actuaciones por parte de la administraciÃ³n para favorecer el Ã©xito de estos eventos de nidificaciÃ³n. Estas medidas de gestiÃ³n se contemplan en las acciones previstas en el marco del proyecto LIFE IP INTEMARES coordinado por el Ministerio de Agricultura y Pesca, AlimentaciÃ³n y Medio Ambiente a travÃ©s de la FundaciÃ³n Biodiversidad. &lt;br&gt;&lt;br&gt;LIBERACIÃ"N DE EJEMPLARES&lt;br&gt;&lt;br&gt;Para conocer la supervivencia y desplazamientos en el mar de tortugas nacidas en las playas valencianas, se va a proceder al marcaje y liberaciÃ³n de 10 crÃ­as de tortuga boba procedente de un nido encontrado en la playa de las Palmeras en Sueca (Valencia) en el aÃ±o 2016. Estos ejemplares fueron trasladados por personal de la Unidad de ZoologÃ­a Marina (UV) a la playa protegida de la Punta (P.N. de lâ€™Albufera) y una parte a incubadora en el OceanogrÃ fic. En la playa el nido fue custodiado en el marco de un voluntariado (Campamento Tortuga) de la ONG Xaloc. Tras su eclosiÃ³n el pasado aÃ±o, una parte de los neonatos se liberaron en Sueca y 16 ejemplares se trasladaron al OceanogrÃ fic donde han sido criados durante este aÃ±o. &lt;br&gt;Para el marcaje de las tortugas se usarÃ¡n pequeÃ±os emisores satelitales de tan solo 17-18 g de peso que se adhieren al caparazÃ³n y permiten la localizaciÃ³n en el mar de estas crÃ­as. El marcaje serÃ¡ realizado por investigadores del Campus de Gandia de la Universitat PolitÃ¨cnica de ValÃ¨ncia. &lt;br&gt;El proyecto fue financiado durante cinco meses (septiembre 2018 a febrero 2019) por el Life IP Intemares y desde febrero hasta su finalizaciÃ³n ha sido financiado por la UPV&lt;br&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/t3p4hr
title: HRC CRC Small Vessel-Based Monitoring Surveys July 2006

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/246rhn
title: HRC DDG Vessel-Based Monitoring Surveys February 2009

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15468/3g53sz
title: HRC CRC Small Vessel-Based Monitoring Surveys April-May 2009

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program
DOI: 10.15156/bio/sh0159841.10fu
title: SH0159841.10FU

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/sh0159842.10fu
title: SH0159842.10FU

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/sh0159843.10fu
title: SH0159843.10FU

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/sh0159844.10fu
title: SH0159844.10FU

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/sh0159845.10fu
title: SH0159845.10FU

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/sh0159846.10fu
title: SH0159846.10FU

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/sh0159847.10fu
title: SH0159847.10FU

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/sh0159848.10fu
title: SH0159848.10FU

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/sh0159849.10fu
title: SH0159849.10FU

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/sh0159850.10fu
title: SH0159850.10FU

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.