cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5rvjpk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Capra aegagrus Erxleben, 1777"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001896-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uajezc
title: Occurrence Download

description: A dataset containing 78779 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal"
 ]
 },
 "DatasetKey is Field observations of birds from Agbar facilities under BiObserva program"
 ]
}

 The dataset includes 78779 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252380-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svyd7u
title: Occurrence Download

description: A dataset containing 545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.17520 41.83402,-2.77419 41.83402,-2.77419 41.99436,-3.17520 41.99436,-3.17520 41.83402))",
 "HasCoordinate is true",
 "TaxonKey is Pinus sylvestris L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 545 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005504-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnkur8
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Genista longipes subsp. longipes"
 ]
}

 The dataset includes 155 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218784-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajnr0g
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Stenotritidae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 655 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010009-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfqdba
title: Occurrence Download

description: A dataset containing 5453 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-8.87504 37.31883,-8.86598 37.32147,-8.84607 37.34633,-8.84243 37.34317,-8.84449 37.3408,-8.84138 37.33743,-8.83501 37.34491,-8.84353 37.3526,-8.84373 37.35454,-8.81483 37.39645,-8.8059 37.41799,-8.8059 37.42847,-8.80216 37.43611,-8.79579 37.43775,-8.79368 37.44407,-8.78288 37.53478,-8.81268 37.53397,-8.81328 37.53218,-8.81364 37.52905,-8.81362 37.52893,-8.81373 37.52797,-8.81337 37.52483,-8.81382 37.52407,-8.81485 37.52103,-8.81499 37.51977,-8.81522 37.51953,-8.81689 37.51668,-8.81792 37.51365,-8.81827 37.51052,-8.81793 37.50739,-8.81765 37.50653,-8.81854 37.50393,-8.81924 37.50195,-8.81956 37.49911,-8.82036 37.49775,-8.82138 37.49472,-8.82174 37.49159,-8.8214 37.48846,-8.82122 37.48791,-8.82121 37.48779,-8.82085 37.48671,-8.82125 37.48602,-8.82146 37.48556,-8.82155 37.48534,-8.82237 37.48277,-8.82263 37.48049,-8.82362 37.47746,-8.82397 37.47458,-8.82398 37.47409,-8.82364 37.47096,-8.82274 37.46825,-8.82281 37.46762,-8.82266 37.46603,-8.82311 37.46469,-8.82346 37.46156,-8.82313 37.45843,-8.82297 37.45795,-8.82304 37.45775,-8.82316 37.45667,-8.8241 37.45332,-8.82412 37.45314,-8.82417 37.45159,-8.82463 37.45022,-8.82499 37.44709,-8.82488 37.44611,-8.82618 37.4439,-8.82678 37.44233,-8.82709 37.44199,-8.82876 37.43914,-8.82918 37.43795,-8.83013 37.43633,-8.83116 37.4333,-8.83151 37.43017,-8.83152 37.42973,-8.83139 37.4283,-8.83157 37.42674,-8.83123 37.42361,-8.831 37.42292,-8.83138 37.42154,-8.83158 37.41972,-8.83164 37.41957,-8.83172 37.41881,-8.83246 37.4174,-8.83291 37.417,-8.8361 37.41334,-8.83777 37.41049,-8.8388 37.40746,-8.83917 37.40371,-8.83903 37.4034,-8.83953 37.40299,-8.83966 37.40278,-8.8399 37.40221,-8.84006 37.40162,-8.84132 37.40036,-8.84217 37.39898,-8.84275 37.39797,-8.84381 37.39613,-8.84424 37.39485,-8.84545 37.39389,-8.84771 37.39132,-8.84895 37.3892,-8.85014 37.38826,-8.8524 37.38569,-8.8529 37.38495,-8.85439 37.38239,-8.85511 37.38116,-8.85526 37.38071,-8.85535 37.38055,-8.85591 37.37913,-8.85651 37.37808,-8.85753 37.37507,-8.85802 37.37417,-8.85867 37.37226,-8.8595 37.37093,-8.86006 37.36982,-8.8602 37.36942,-8.86054 37.36919,-8.86333 37.36697,-8.8656 37.3644,-8.86723 37.36153,-8.86849 37.36017,-8.86982 37.35836,-8.87103 37.35618,-8.87145 37.35494,-8.87153 37.35482,-8.87157 37.35469,-8.87196 37.35415,-8.87208 37.35394,-8.87282 37.35201,-8.87474 37.35029,-8.87527 37.34976,-8.87715 37.3477,-8.87763 37.34706,-8.87803 37.34639,-8.87825 37.34595,-8.87836 37.34583,-8.88043 37.34421,-8.88269 37.34164,-8.88433 37.33878,-8.88438 37.33865,-8.88779 37.33738,-8.88846 37.33699,-8.88885 37.33685,-8.89101 37.33566,-8.89221 37.33501,-8.89499 37.33279,-8.89725 37.33022,-8.89813 37.32888,-8.89904 37.32716,-8.90007 37.32413,-8.90011 37.32369,-8.90022 37.32336,-8.87504 37.31883))"
 ]
}

 The dataset includes 5453 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043612-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.io3h80
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 729 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010009-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lyjnkv
title: Occurrence Download

description: A dataset containing 1484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyalella S.I.Smith, 1874"
 ]
}

 The dataset includes 1484 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005504-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftza8c
title: Occurrence Download

description: A dataset containing 5661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium jambos (L.) Alston"
 ]
}

 The dataset includes 5661 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279779-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pyfky
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopholis nigri (Günther, 1859))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051084-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7dxe4
title: Occurrence Download

description: A dataset containing 2511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Plant Specimen from Herbarium (CDBI) in China, Chengdu Institute of Botany, Chinese Academy of Sciences",
 "GadmGid is CHN.30_1",
 "Geometry POLYGON((83.85277 18.24421,120.14723 18.24421,120.14723 32.75579,83.85277 32.75579,83.85277 18.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1980-2021"
 ]
}

 The dataset includes 2511 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258531-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjrvn5
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Asia",
 {
 "or" : [
 "Country is Indonesia",
 "Country is Philippines"
 ]
 },
 "TaxonKey is Taxus L."
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021090-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbu6sv
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.198 17.81146,-86.27563 17.81146,-86.27563 21.77991,-89.198 21.77991,-89.198 17.81146))",
 "DatasetKey is Estudio comparativo del zooplancton en dos regiones de México",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 216 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010009-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/wp72cy
title: JCU, Cairns turtle rehab & Reef HQ - rehabilitated turtles (aggregated per 1-degree cell)

description: Original provider:
James Cook University & Reef HQ

Dataset credits:
Data provider: James Cook University; Originating data center: Satellite Tracking and Analysis Tool (STAT); Project sponsor or sponsor description: James Cook University & Reef HQ

Abstract:
N/A
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/zy5rzg
title: UCSC Elephant Seals (aggregated per 1-degree cell)

description: Original provider:
Daniel Costa

Dataset credits:
Data provider
NOAA SWFSC Elephant Seals
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.
DOI: 10.15468/aug8tr
title: Green sea turtle satellite tracking in the Nansha and Penghu Archipelagos 2000-2005

description: Original provider:
Cheng, I-Jiunn

Dataset credits:
Cheng, I-Jiunn

Abstract:
Green turtle is an endangered species in Taiwan. In addition to understanding their nesting ecology, the migration behavior and whereabouts in the ocean are equally important. The purpose of the current study is to deploy as many satellite tags as possible to understand fully its post-nesting migration routes, rest/foraging areas and the influence of currents to the migration of green turtles. Furthermore, the combination of satellite tracking with genetic studies allow us to construct comprehensive conservation measures on a regional and international basis.
DOI: 10.15468/p6jcvc
title: Identification of secondary foraging grounds for green turtles as they depart Mantanani, Malaysia (aggregated per 1-degree cell)

description: Original provider:
Marine Research Foundation

Dataset credits:
Data provider
Marine Research Foundation - Marine Turtle Programme
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
Project sponsor or sponsor description
This project is funded in part by the Mohammed bin Zayed Species Conservation Fund, the Forestry Bureau of Taiwan, and the Shell (Malaysia) Foundation.

Abstract:
Juvenile turtles recruit at Mantanani from their post-hatchling neritic drifting years at some 30 cm in CCL and reside there for some 5-6 years and they subsequently depart to secondary foraging grounds - presently unknown. This project will track small (40-60 cm CCL) green turtles as they depart Mantanani to identify the location of the secondary foraging areas. For conservation to be successful, we aim to inform governments and conservaiton agencies of the connectivity of marine habitats with this work.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/x5dbhn
title: Seabird and cetacean sightings from Cruise SY002 of RV Shoyo Maru, Tropical Atlantic Ocean, Oct. 2000

description: Original provider:
Philippe Borsa, Institut de Recherche pour le Developpement, Departement des Ressources Vivantes

Dataset credits:
Institut de Recherche pour le Developpement, Departement des Ressources Vivantes

Abstract:
The international program BETYP on the bigeye tuna (&lt;i&gt;Thunnus obesus&lt;/i&gt;) allowed us to board the Japanese research vessel Shoyo Maru. During this mission, the longline vessel was rigged to carry out four crossings of the Atlantic Ocean. The mission conducted from September 28 to October 26, 2000 corresponds to the first that crosses the Atlantic from west to east. The first operation of project THETIS (UR No. 109 of the IRD) is focused on the study of predator-prey relationships. The program will study the food and trophic relationships of tunas and associated species in four regions of the Indian Ocean and three of the Atlantic. The platform of the Shoyo Maru in the Atlantic was a good opportunity to collect stomach contents of fish caught by longline.
DOI: 10.15468/fcntwp
title: Distribution of small cetaceans in the nearshore waters of Sarawak, East Malaysia

description: Original provider:
The Sarawak Dolphin Project, Institute of Biodiversity and Environmental Conservation

Dataset credits:
The Sarawak Dolphin Project, Institute of Biodiversity and Environmental Conservation, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak

Abstract:
Between June 2008 and September 2009, 56 days of small boat surveys were conducted off the coast of Sarawak, Malaysia with the aim of recording cetacean distribution. These surveys, which focused on the Miri, Bintulu-Similajau and Kuching regions, comprised 173 hours of survey effort and covered 2851 km of pre-determined systematic tracks. Surveys were clustered into three sets of seasonal snapshots: June-July, September-October and March-April. A total of 115 cetacean sightings were made, of which 65 were on-effort and used in analyses of cetacean encounter rates in relation to habitat characteristics. Species observed included (in order of frequency) Irrawaddy dolphins (&lt;i&gt;Orcaella brevirostris&lt;/i&gt;),
finless porpoises (&lt;i&gt;Neophocaena phocaenoides&lt;/i&gt;), Indo-Pacific bottlenose dolphins (&lt;i&gt;Tursiops aduncus&lt;/i&gt;) and
Indo-Pacific humpback dolphins (&lt;i&gt;Sousa chinensis&lt;/i&gt;). 
One hundred and ten of 115 sightings were made in less than 10 m water depth, highlighting the importance of nearshore coastal habitats for these species. Despite an apparent overlap in habitat, Irrawaddy dolphins showed a statistically significant affiliation with areas of shallower depth and closer proximity to shore and river mouths than finless porpoises or bottlenose dolphins. This preference for nearshore areas renders the species vulnerable to threats such as fisheries by-catch and habitat degradation from coastal development. Irrawaddy dolphins were more frequently encountered in Kuching, while the highest encounter rate for finless porpoises was in the Bintulu-Similajau region. The highest encounter rates in both Kuching and Similajau occurred in areas that are destined for major coastal developments.
DOI: 10.15468/uxc4q8
title: United Kingdom National Whale Stranding Database 1913-2008

description: Original provider:
The Natural History Museum, London

Dataset credits:
The Natural History Museum, London

Abstract:
The Natural History Museum has been monitoring whale strandings since 1913. In 1324, a statute was passed which gave the Crown qualified rights to cetaceans stranded on, or caught in the waters of England and Wales. Similar rights were claimed for the Crown of Scotland. The animals were described as "Fishes Royal."

In 1913, by agreement with the then Board of Trade, these rights were transferred to the Natural History Museum in London, at that time known as the British Museum (Natural History). Since then, in monitoring cetacean strandings, over 8,000 animals have been recorded, some of the species being new to British waters. Initially, information was stored on a card index. Latterly, information is collated and entered on computer. The resulting database is used to produce &lt;a href='http://www.nhm.ac.uk/research-curation/research/projects/strandings/distribution.html' taret='_new'&gt;distribution maps&lt;/a&gt; and analyze information about the biology and ecology of the different species.

The National Stranded Whale Recording Scheme is now the center of a coordinated investigation, funded since April 1990 by the then United Kingdom (UK) Department of the Environment, subsequently by the Department of the Environment Transport and the Regions, and now the Department of Environment, Food and Rural Affairs, into the biology and ecology of cetacean populations around the British Isles and is a contribution to the UK's program of research on the North Sea and its response to ASCOBANS (the Agreement on the conservation of Small Cetaceans Of the Baltic And North Seas). Investigations are carried out in association with the Institute of Zoology at Regents Park, London (London Zoo) which has responsibility for coordinating autopsies.
DOI: 10.15468/vq3ssn
title: NOAA Atlantic bottlenose dolphin sightings in the coastal and estuarine waters near Charleston, SC - 1994-2011

description: Original provider:
NOAA, Center for Coastal Environmental Health and Biomolecular Research

Dataset credits:
NOAA, National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Environmental Health and Biomolecular Research
DOI: 10.15468/x68x2d
title: USWTR JAX Aerial Survey -Right side- 2010-2011

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.15468/k4m2ay
title: USWTR Onslow Bay Aerial Survey -Right side- 2010-2011

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.15468/tbr5v2
title: USWTR Onslow Bay Aerial Survey -Left side- 2010-2011

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.15468/nckjes
title: USWTR JAX Aerial Survey -Left side- 2010-2011

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.15468/vctm3y
title: University of Algarve and ICNB Cetacean Sightings 1999

description: Original provider:
Cláudia Faustino
DOI: 10.15468/3m5jbk
title: SWFSC juvenile loggerhead sea turtle tracking 2002-2005

description: Original provider:
NOAA Southwest Fisheries Science Center (SWFSC)

Dataset credits:
NOAA Southwest Fisheries Science Center (SWFSC)

Abstract:
Satellite telemetry data from 17 juvenile loggerhead turtles (43.5-66.5 cm straight carapace length) were used in conjunction with oceanographic data to analyze the influence of regional and seasonal oceanography on dive behavior in the North Pacific Ocean. Combined dive behavior for all individuals showed that turtles spent more than 80% of their time at 0-5 m depths, and more than 90% of their time at 0-15 m depths. Multivariate classifications of dive data revealed four major dive types, three representing deeper, longer dives, and one representing shallower dives shorter in duration. Turtles exhibited variability in these dive types across oceanographic regions, with deeper, longer dives in the Hawaii longline swordfish fishing grounds during the first quarter of the year, as well as in the Kuroshio Extension Bifurcation Region and the region near the Baja California Peninsula, Mexico. Turtles in the Kuroshio Extension Bifurcation Region also exhibited dive variability associated with mesoscale eddy features, with turtles making deeper, longer dives while associated with the strongest total kinetic energy. Turtles in the central North Pacific exhibited seasonality in dive behavior that appeared to reflect synchronous latitudinal movements with the North Pacific Subtropical Front and the associated seasonal, large-scale oceanography. Turtles made deeper, longer dives during the first quarter of the year within this region, the reported time and area where the highest loggerhead bycatch occurs by the longline fishery. These results represent the first comprehensive study of dive data for this species in this region. The increased understanding of juvenile loggerhead dive behavior and the influences of oceanography on dive variability should provide further insight into why interactions with longline fisheries occur and suggest methods for reducing the bycatch of this threatened species.
DOI: 10.15468/bqrpb2
title: Florida Manatee Synoptic Aerial Survey 1991-2019

description: Original provider:
Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute

Dataset credits:
Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute

Abstract:
The word “synoptic” means presenting a general view of the whole. The current manatee synoptic survey is a count of manatees over a broad area. The Florida Fish and Wildlife Conservation Commission (FWC) uses these surveys to obtain a general count of manatees statewide. The FWC coordinates an interagency team that conducts the synoptic surveys from one to three times each year (weather permitting). The synoptic surveys are conducted in winter and cover all of the known wintering habitats of manatees in Florida. The survey is conducted to meet Florida state statute 370.12 (4), which requires an annual, impartial, scientific benchmark census of the manatee population. From 1991 through 2011, the counts have been conducted 27 times. These statewide, interagency surveys are currently conducted during the coldest weather of the year (January through March) when manatees move to warm-water sites, such as natural springs, thermal discharges from power and industrial plants, and deep canals. The ideal conditions for the current synoptic survey are cool weather, following a prolonged period of cold weather (usually following multiple cold fronts), low winds, and bright sunshine. Weather conditions and manatee behavior during the survey have a large effect on the synoptic counts. For that reason, the counts are used as indicators of relative abundance within a year and are not suitable for assessing long-term population trends. Counts can vary depending on whether it is warm or cold, sunny or cloudy, calm or windy. Manatees are more easily counted a few days after a cold front when it is slightly warmer, clear, and windless. A warming trend with sunny, windless conditions following cold weather increases the likelihood that manatees will be resting at the water's surface, where observers can easily spot them.