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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Genetta genetta)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082645-250717081556266/datasets/export for details.
DOI: 10.82144/1265d30f
title: DECAF - PMFR Minke Whales - Multiple Sensor - Boing Associations

description: Boing associations refers to the process of identifying the same boing as received on multiple hydrophones. Given the wide spacing of the hydrophones involved in this study, the signal can undergo long range multipath propagation and have different character when received on nearby, and very distant hydrophones. The DECAF minke study utilized 16 northern hydrophones. Associations were done for both an exploratory test case (Marques et al. 2011) on one hour of sample data (six 10-minute files of data), and for two hours of sample data (twelve 10-minute files of data) for the full test case study (Martin et al. 2011 submitted).

The DECAF minke study utilized the 16 northern hydrophones of the BSURE range at PMRF. The sixteen hydrophones are designated 44-51 and 53-60. These hydrophones provide suitable bandwidth for detection of the minke boing vocalization with primary energy around 1.4 kHz.

Note that the reference cited (Marques et al. 2010) used slightly different versions of the association files, and also used exact hydrophone locations rather than the approximate ones given in dataset 1; hence results in that paper will differ slightly from results that would be obtained with analyses of these data. Also, the full data set analysis (ref. Martin et al. submitted) utilized the 14 northernmost phones in the analysis.

Association of boings across the multiple hydrophones was performed by Susan Jarvis (Naval Undersea Warfare Center/Worcester Polytechnic Institute) in the DECAF project.
DOI: 10.82144/23154cea
title: DECAF - PMFR Minke Whales - Multiple Sensor - Manual Boing Detections

description: This data set consists of manually detected boings from multiple hydrophones off the northwest of Kauai, Hawaii. Boings were detected utilizing visual displays of signal spectrograms and time series along with aural monitoring. The boings have a distinctive sound character with major energy in the 1.4kHz area. These manual detections provided information necessary in order to assess performance of the automated boing detector and to help understand how to better automatically detect, associate and localize boing sound source locations. Manual validation of automatic processes is much more efficient (in time and dollars) than the total manual effort such as performed in this data set and the manual localization data set # 675.

This analysis was conducted by James Yosco (Science Applications International Corporation. Times are in GMT. Hydrophone locations are only approximate.

The detailed results of the analysis are available at the DECAF web site shown in the supplemental information section.
DOI: 10.82144/cf33834c
title: DECAF - PMFR Minke Whales - Multiple Sensor - Automated Boing Detections

description: The recordings used for the main case study came from 12 separate days in 2006, each with ~14 hours of recordings for a total of ~ 167 hours of data. The days were: Feb 5, 21 and 25; Mar 5, 9, 13, 17, 25, and 29; and April 2, 6 and 18. An automatic detector (see Mellinger ref) was run on the whole dataset, across all hydrophones. The DECAF minke study ended up utilizing 14 of the northern hydrophones from the instrumented range at the Pacific Missile Range Facility located off the North West part of Kauai, Hawaii.

The DECAF minke study initially utilized the 16 northern hydrophones of the BSURE range at PMRF. The sixteen hydrophones are designated 44-51 and 53-60. The two southernmost hydrophones were not utilized in the full data set analysis due to issues with the number of detections relative to the other hydrophones. It is unclear if the lower detection rate is due to lower density of animals closer to shore in shallower water, or due to other effects such as higher noise levels from Humpback whale song, or the sloped bathymetry at the southern phones. These hydrophones provide suitable bandwidth for detection of the minke boing vocalization with primary energy around 1,400 Hz.

Times are in GMT.
Hydrophone locations are only approximate.
This data represents call detections - individual animals may make multiple calls.
conducted by James Yosco (Science Applications International Corporation)
DOI: 10.82144/d344c81e
title: DECAF - PMFR Minke Whales - Multiple Sensor - Boing Localizations

description: Early efforts dealing with acoustic data from PMRF involved both manual detection (data set 666 and manual localization (this data set) of boing sounds. These manual detections and localizations provided information necessary in order to assess performance of the automated boing detector and to help understand how to better automatically both detect, associate and localize boing sound source locations. Manual validation of automatic processes is much more efficient (in time and dollars) than the total manual effort such as performed in data sets 666 and 675.

Twenty four boing vocalizations were localized in all – individual animals may make multiple calls. Of these, it is suspected that multiple boings were detected and localized from the same individuals at different times.

This analysis was conducted by James Yosco (Science Applications International Corporation). Localization accuracy for points shown within 15km of sensors is on the order of tens, to hundreds, of meters while the two localizations shown to the extreme north have errors which can be over tens of km. Times are in GMT. Hydrophone locations are only approximate.

The detailed results of the analysis are available at the DECAF web site shown in the supplemental information section.
DOI: 10.82144/23d88966
title: DECAF - AUTEC Beaked whales - Multiple Sensors - Click counts

description: This archive contains data on echolocation clicks of Blainville's beaked whale (Mesoplodon densirostris) recorded at AUTEC during a 6-day period in spring 2005. The data were used in estimating M. densirostris density as documented in the paper Marques et al. (2009). There are data files containing click counts per minute per hydrophone, files containing numbers of false positive detections from a manual analysis, and files giving information about georeferenced tracks of tagged whales and associated vocalization timings.
DOI: 10.82144/55546033
title: DECAF - AUTEC Sperm Whales - Multiple Sensors - Complete Dataset

description: This archive contains data on sperm whales (Physeter macrocephalus) recorded at the Atlantic Undersea Test and Evaluation Center (AUTEC) in the Tongue of the Ocean, Bahamas in August/September 2007. Data are provided showing when sperm whales were detected on the range during the time period, details about the availability of the acoustic data used in the analysis and finally, the number and size of sperm whale groups localized.
This data represents sperm whale detections on the range during the complete study period. 44 days were monitored using an automatic detector for the presence of sperm whales: 12 Aug 2007 (julian day 224) – 24 Sept 2007 (julian day 267). This file documents when sperm whales were detected by the AUTEC range (the detections were verified by an observer).
DOI: 10.5281/zenodo.11059439
title: Bi-equivalent planar graphs data files

description: The archive file contains files describing every bi-equivalent planar graph.Each folder of the type LM contains the graph of valencies L and M.Each sub-folder in these folder correspond to 1 graph.Their content is:- f.par : the PGC for the graph- a txt file: file describing the connectivity of the graph (see below for the format).- a svg file: vector graphic file for the graph.

Syntax of the txt file:Line 1 : the number of nodes for the graphLine 2 : the nodes for the outside face (usually "0 1 2 P-1")Following lines except last 2 lines: "n1 n2"  : the indices of 2 nodes linked together.Line -2 from the end:  "N0 n1 n2 ... nn" : the list of nodes of the 1st type.Last line: "N1 n1 n2 ... nn", the list of nodes of the 2nd type.
DOI: 10.5281/zenodo.11059440
title: Bi-equivalent planar graphs data files

description: The archive file contains files describing every bi-equivalent planar graph.Each folder of the type LM contains the graph of valencies L and M.Each sub-folder in these folder correspond to 1 graph.Their content is:- f.par : the PGC for the graph- a txt file: file describing the connectivity of the graph (see below for the format).- a svg file: vector graphic file for the graph.

Syntax of the txt file:Line 1 : the number of nodes for the graphLine 2 : the nodes for the outside face (usually "0 1 2 P-1")Following lines except last 2 lines: "n1 n2"  : the indices of 2 nodes linked together.Line -2 from the end:  "N0 n1 n2 ... nn" : the list of nodes of the 1st type.Last line: "N1 n1 n2 ... nn", the list of nodes of the 2nd type.
DOI: 10.6084/m9.figshare.29072798
title: Data set for the paper titled "Enablers of innovative entrepreneurship in the Fourth Industrial Revolution: a systematic review of global empirical studies"

description: There has been limited research on what is needed for entrepreneurs to lead innovation within the current digital space. So far, research has paid little attention to innovative technologies in entrepreneurship as well as entrepreneurship and innovation simultaneously. However, there are significantly changes in these domains which necessitate increased attention towards innovative approaches within entrepreneurship. The research objective is to identify the enablers of innovative entrepreneurship in the 4IR using a systematic literature review approach. The inclusion criteria were peer-reviewed empirical articles written in English from 2022-2024, which were accessible on Scopus, Science Direct, Web of Science, and Google Scholar databases. The Mixed Methods Appraisal Tool (MMAT) was used to assess bias, and the Cadima web tool was used to screen articles. 1528 articles were retrieved, out of which 99 were retained for the final study. A thematic approach was used to analyse data. Results show that the entrepreneur’s traits and competencies play a key role in their innovativeness. Likewise, financial and technological resources, human capital, operational capacity, array of networks, strategic drive towards innovation, market insight, customer knowledge, and the desire for environmental sustainability can trigger innovation in entrepreneurial businesses. Paramount to this is an enabling external environment that reflects an overall innovation culture and promotes innovative entrepreneurship. Practically, this study will help entrepreneurs to develop the traits and competencies that will help them innovate easily. It will also enlighten entrepreneurial businesses on the prerequisites for innovation for them to prepare accordingly. Findings also provide insight for policy makers and governments to create policies, conducive environments, support structures, and a robust entrepreneurship ecosystem to promote innovative entrepreneurship within this technological era.<br>
DOI: 10.6084/m9.figshare.29072798.v5
title: Data set for the paper titled "Enablers of innovative entrepreneurship in the Fourth Industrial Revolution: a systematic review of global empirical studies"

description: There has been limited research on what is needed for entrepreneurs to lead innovation within the current digital space. So far, research has paid little attention to innovative technologies in entrepreneurship as well as entrepreneurship and innovation simultaneously. However, there are significantly changes in these domains which necessitate increased attention towards innovative approaches within entrepreneurship. The research objective is to identify the enablers of innovative entrepreneurship in the 4IR using a systematic literature review approach. The inclusion criteria were peer-reviewed empirical articles written in English from 2022-2024, which were accessible on Scopus, Science Direct, Web of Science, and Google Scholar databases. The Mixed Methods Appraisal Tool (MMAT) was used to assess bias, and the Cadima web tool was used to screen articles. 1528 articles were retrieved, out of which 99 were retained for the final study. A thematic approach was used to analyse data. Results show that the entrepreneur’s traits and competencies play a key role in their innovativeness. Likewise, financial and technological resources, human capital, operational capacity, array of networks, strategic drive towards innovation, market insight, customer knowledge, and the desire for environmental sustainability can trigger innovation in entrepreneurial businesses. Paramount to this is an enabling external environment that reflects an overall innovation culture and promotes innovative entrepreneurship. Practically, this study will help entrepreneurs to develop the traits and competencies that will help them innovate easily. It will also enlighten entrepreneurial businesses on the prerequisites for innovation for them to prepare accordingly. Findings also provide insight for policy makers and governments to create policies, conducive environments, support structures, and a robust entrepreneurship ecosystem to promote innovative entrepreneurship within this technological era.<br>
DOI: 10.15468/dl.5uzee2
title: Occurrence Download

description: A dataset containing 1024202492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2000-2022"
 ]
}

 The dataset includes 1024202492 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191867-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wk3xy
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015409-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x35gzw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090284-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.otw8mq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090311-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gkqb5
title: Occurrence Download

description: A dataset containing 425120599 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 425120599 records from 16011 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191994-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bzzub
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Drymophila rubricollis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031633-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ffppfg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichoglossus meyeri)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031637-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fggrkq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADL4532"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031636-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tevjzt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Drymophila rubricollis)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031638-250802193616735/datasets/export for details.
DOI: 10.15468/dl.u5mvzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Drymophila rubricollis)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031642-250802193616735/datasets/export for details.
DOI: 10.15468/dl.27b755
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Drymophila rubricollis)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031641-250802193616735/datasets/export for details.
DOI: 10.15468/dl.w72jct
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichoglossus ornatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031643-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxffy3
title: Occurrence Download

description: A dataset containing 2220 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nemipterus nematopus"
 ]
}

 The dataset includes 2220 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031645-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.