cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0159948.10fu
title: SH0159948.10FU

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/sh0159949.10fu
title: SH0159949.10FU

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/sh0159950.10fu
title: SH0159950.10FU

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/sh0159951.10fu
title: SH0159951.10FU

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/sh0159952.10fu
title: SH0159952.10FU

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/sh0159953.10fu
title: SH0159953.10FU

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/sh0159954.10fu
title: SH0159954.10FU

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/sh0159955.10fu
title: SH0159955.10FU

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: 10.15468/dszb45
title: Happywhale - Weddell Seal in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/utp5va
title: Happywhale - Crabeater seal in Southern Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/gv9vsv
title: Happywhale - Short-beaked common dolphin in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/gyyqcw
title: Revealing migratory behaviour of South African leatherback turtles

description: Original provider:
Nathan J. Robinson, The Leatherback Trust

Dataset credits:
Nathan J. Robinson, Cape Eleuthera Institute

Abstract:
The data were collected from nesting leatherback turtles (Dermochelys coriacea) that tracked via satellite transmitters from the iSimangaliso Wetland Park, South Africa.
DOI: 10.15468/an36vt
title: Happywhale - North pacific right whale in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/q8tp8w
title: VACAPES PAX Vessel Opportunistic Sightings July 2015 - Nov 2017

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 opportunistic animal sighting locations that occurred during CPOD deployment and recover vessel trips beginning in July 2015 through November 2017 in Chesapeake Bay near Naval Air Station Patuxent River.
Fourteen vessel trips were completed between 07/10/2015 – 11/29/2017. Work was performed under HDR task order CTO 55 (IDIQ contract award N62470-10-D-3011, NAVFAC LANT).
DOI: 10.15468/s8ma2p
title: Happywhale - Long-finned pilot whale in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/28s2hs
title: Digital Aerial Baseline Survey of Marine Wildlife in Support of Offshore Wind Energy - OPA 2016

description: Original provider:
NYSERDA, APEM, Normandeau Associates

Dataset credits:
NYSERDA, APEM, Normandeau Associates

Abstract:
In support of New York State's commitment to incorporating offshore wind into its energy portfolio, the New York State Energy Research and Development Authority (NYSERDA) embarked on a multi-year ultrahigh-resolution aerial digital survey of marine resources in a 12,650 square nautical mile offshore planning area (OPA) in 2016. The OPA encompasses the waters of the New York Bight from Long Island southeast to the continental shelf break. Surveys are conducted on a quarterly basis, timed to coincide with periods of abundance of avian and marine species vulnerable to impacts from offshore wind activities. This report summarizes the results of the first two surveys conducted in July–August and November 2016. Each survey collected images covering at least 7% of the OPA.

Of the more than 700,000 images collected within the survey area during these two surveys, 3.8% (27,135 images) contained organisms, including 38 bird, 17 fish, 5 whales, 7 dolphin, 1 seal, and 4 sea turtle species. Some seasonal patterns were evident. During the summer survey, the vast majority of the organisms observed were rays (8,388 images) or birds (1,893 images). During the fall survey, birds predominated (12,352 images). Shearwaters, storm-petrels, and terns were substantially more abundant in the summer while ducks, gannets, gulls and phalaropes were substantially more abundant in the fall. Turtles, sharks, and large bony fishes were all most abundant in the summer, though present in the fall. Number of images with marine mammals was similar in both surveys.

Spatial patterns were apparent in some taxonomic groups. A number of species tended to occur in nearshore waters including large gulls and least, royal and Sterna terns. Turtles typically occurred inshore of the 70 m isobath. Audubon's, sooty, and Cory's shearwaters clustered in the northeast corner of the OPA. Whales, Audubon's shearwaters, and black-capped petrels were most common near the shelf break. While sharks exhibited no clear patterns, rays showed some tendency to cluster off the mouth of New York Harbor. Large bony fishes typically occurred in deeper waters.

Results from the surveys will be incorporated into efforts to identify suitable areas for development of offshore wind projects.
DOI: 10.15468/2qwtyf
title: Digital Aerial Baseline Survey of Marine Wildlife in Support of Offshore Wind Energy - WEA 2016

description: Original provider:
NYSERDA, APEM, Normandeau Associates

Dataset credits:
NYSERDA, APEM, Normandeau Associates

Abstract:
In support of New York State's commitment to incorporating offshore wind into its energy portfolio, the New York State Energy Research and Development Authority (NYSERDA) embarked on a multi-year ultrahigh-resolution aerial digital survey of marine resources in a 12,650 square nautical mile offshore planning area (OPA) in 2016. The OPA encompasses the waters of the New York Bight from Long Island southeast to the continental shelf break. Surveys are conducted on a quarterly basis, timed to coincide with periods of abundance of avian and marine species vulnerable to impacts from offshore wind activities. This report summarizes the results of the first two surveys conducted in July–August and November 2016. Each survey collected images covering at least 7% of the OPA.

Of the more than 700,000 images collected within the survey area during these two surveys, 3.8% (27,135 images) contained organisms, including 38 bird, 17 fish, 5 whales, 7 dolphin, 1 seal, and 4 sea turtle species. Some seasonal patterns were evident. During the summer survey, the vast majority of the organisms observed were rays (8,388 images) or birds (1,893 images). During the fall survey, birds predominated (12,352 images). Shearwaters, storm-petrels, and terns were substantially more abundant in the summer while ducks, gannets, gulls and phalaropes were substantially more abundant in the fall. Turtles, sharks, and large bony fishes were all most abundant in the summer, though present in the fall. Number of images with marine mammals was similar in both surveys.

Spatial patterns were apparent in some taxonomic groups. A number of species tended to occur in nearshore waters including large gulls and least, royal and Sterna terns. Turtles typically occurred inshore of the 70 m isobath. Audubon's, sooty, and Cory's shearwaters clustered in the northeast corner of the OPA. Whales, Audubon's shearwaters, and black-capped petrels were most common near the shelf break. While sharks exhibited no clear patterns, rays showed some tendency to cluster off the mouth of New York Harbor. Large bony fishes typically occurred in deeper waters.

Results from the surveys will be incorporated into efforts to identify suitable areas for development of offshore wind projects.
DOI: 10.15468/j2ub3p
title: Happywhale - Atlantic spotted dolphin in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/gpsj38
title: Telemetry of loggeread turtles in Amvrakikos Bay (aggregated per 1-degree cell)

description: Original provider:
ARCHELON, the Sea Turtle Protection Society of Greece

Dataset credits:
Data provider
ARCHELON (2002-2007)
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
ETANAM - Local management agency of the Amvrakikos Bay region
Project sponsor or sponsor description
LIFE-Nature. A European Union funding programme to develope management plans and protection for NATURA 2000 sites.

Abstract:
Little is known of the foraging turtles in Amvrakikos Bay. We have tag returns from turtles that have nested at the three nearby Ionian nesting areas, Kefalonia, Zakynthos and Kyparissia Bay, but when they come and go and where they move around in the bay was unknown. This project has helped to answere some of these important conservation issues.&lt;br&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/pwy92z
title: UNCW PAX Aerial Survey - Right side - 2016

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.15468/fmvc5y
title: Green Turtles in Syria (aggregated per 1-degree cell)

description: Original provider:
ARCHELON, the Sea Turtle Protection Society of Greece

Dataset credits:
Data provider
ARCHELON (2004-2007)
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
ARCHELON, the Sea Turtle Protection Society of Greece has been conserving turtles in Greece since 1983. In 2004 it expanded its work to coordinate and initiate a project in Syria.
Project sponsor or sponsor description
The transmitter was purchased thanks to an award from the British Chelonia Group and is supported by SEATURTLE.ORG and Ford - Middle East.&lt;br&gt;&lt;br&gt;The project has been supported by the Marine Conservation Society Turtle Conservation Fund.

Abstract:
In 2004, an important new green turtle rookery was dicovered in Syria. Follow up work discovered sea turtles are being utilised as food in the country and are being negatively impacted by fisheries interaction.&lt;br&gt;In 2006 we are continuing the vital work from the last years and tracking a green turtle to identify her internesting habitat and post breeding migration. This was originally planned for 2005 but not realised due to the low nesting levels that year.&lt;br&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/ru63sz
title: Oman 2008: Green Turtles of Masirah (aggregated per 1-degree cell)

description: Original provider:
Biodiversity East / MTRG

Dataset credits:
Data provider
Marine Turtle Research Group
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
The scientific work is undertaken by ALan Rees, PhD student with the MTRG at the University of Exeter, with additional advice and assistance from Michael Coyne of SEATURTLE.ORG. This project is carried out under the auspices of the Ministry of Environment and Climate Affairs of Oman. 
Project sponsor or sponsor description
The project is funded by Total SA, Muscat Branch and the TOTAL Corporate Foundation for Biodiversity and the Sea.

Abstract:
Masirah Island hosts four species of nesting turtles, Loggerheads, Greens, Hawksbills and Olive Ridleys.&lt;br&gt;&lt;br&gt;This project will provide evidence of migration routes and raise awareness of this threatened and depleted population of green turtles.&lt;br&gt;&lt;br&gt;The Ministry of Environment and Climate Affairs of Oman has recently intensified its efforts to gain more knowledge on sea turtles, focusing on satellite telemetry.&lt;br&gt;Within the context of these efforts and as a continuation of the three-year turtle conservation project, which included the pioneering and successful Loggerhead telemetry mission on Masirah Island in May 2006, TOTAL S.A. Muscat and TOTAL Corporate Foundation for Biodiversity and the Sea are now sponsoring this Green Turtle telemetry project.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/xwehr6
title: Oman 2006: Loggerhead Turtles of Masirah (aggregated per 1-degree cell)

description: Original provider:
Biodiversity East / MTRG

Dataset credits:
Data provider
Marine Turtle Research Group
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
The project is being conducted by IPEDEX & CO LLC in consultation with the Ministry of Regional Municipalities, Environment and Water Resources of the Sultanate of Oman.&lt;br&gt;Data management, analysis and reporting are being undertaken by SEATURTLE.ORG and the Marine Turtle Research Group.
Project sponsor or sponsor description
The project is sponsored by the TOTAL Corporate Foundation for Biodiversity and the Sea and TOTAL S.A. Muscat Branch.

Abstract:
Loggerhead nesting on Masirah Island, Oman, was first studied in depth in the late 1970s. It was estimated that around 30,000 female turtles came to nest each year on its beaches making it one of the largest, if not the largest loggerhead nesting populations in the world.&lt;br&gt;Since the early studies monitoring and conservation efforts have been undertaken by hard-working local rangers.&lt;br&gt;In 2005 a three year project to assess and evaluate sea turtle populations in Masirah Island as well as establish a sustainable, general management plan for the Island and surrounding areas (Barr Al-Hikman and the Islands in the Masirah Channel) was initiated. One of the focal activities in 2006 is to track 10 nesting females to their possibly remote foraging areas as many years of flipper tagging have so far revealed very little of their migratory behaviour.&lt;br&gt;A second project, with a further 10 transmitters will be undertaken in August by the Environment Society of Oman. Combining the information will strengthen the findings for appropriate conservation measures.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/6ds465
title: WWF Italy (aggregated per 1-degree cell)

description: Original provider:
Paolo Casale

Dataset credits:
Data provider
WWF Italy's Sea Turtle Network
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.