cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2d8dz2
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 (Tantilla nigriceps Kennicott, 1860)",
 "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/0016733-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ad6sew
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 (Tantilla nigriceps Kennicott, 1860)",
 "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/0016735-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9zykgh
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 (Heterodon nasicus Baird & Girard, 1852)",
 "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/0016737-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jsxmqu
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 (Heterodon nasicus Baird & Girard, 1852)",
 "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/0016738-250525065834625/datasets/export for details.
DOI: 10.15468/dl.zwbqe2
title: Occurrence Download

description: A dataset containing 860 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 (Heterodon nasicus Baird & Girard, 1852)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 860 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016736-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10999058
title: MetaSBT Viruses database

description: Warning: This database has been produced with an outdated version of MetaSBT which is not supported anymore. Thus, the visibility of this database has been changed to Restricted.

 

MetaSBT database composed of taxonomically organised Sequence Bloom Trees built over the reference genomes of NCBI GenBank under the Viruses superkingdom.

It comprises 26,285 reference genomes organised into 7,772 species, 969 genera, 157 families, 61 orders, 38 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally through the install command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.11038188
title: MetaSBT Viruses database

description: Warning: This database has been produced with an outdated version of MetaSBT which is not supported anymore. Thus, the visibility of this database has been changed to Restricted.

 

MetaSBT database with viral metagenome-assembled genomes (MAGs) from NCBI GenBank.

This is an update of the MetaSBT Viruses database version 20240410.

It comprises 26,285 reference genomes and 523 MAGs organised into 8,131 species, 1,324 genera, 303 families, 160 orders, 136 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally through the install command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.15079817
title: MetaSBT Viruses database

description: MetaSBT database with viral reference genomes from NCBI GenBank.

It comprises 26,285 reference genomes organised into 8,169 species, 1,014 genera, 161 families, 63 orders, 38 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally with the unpack command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.15079925
title: MetaSBT Viruses database

description: MetaSBT database with viral metagenome-assembled genomes (MAGs) from NCBI GenBank.

It comprises 26,285 reference genomes and 1,111 MAGs organised into 9,105 species, 1,282 genera, 240 families, 91 orders, 38 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally with the unpack command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.15080317
title: MetaSBT Viruses database

description: MetaSBT database with viral metagenome-assembled genomes (MAGs) from the MGV database.

It comprises 26,285 reference genomes and 190,756 MAGs organised into 40,729 species, 13,916 genera, 8,862 families, 6,551 orders, 3,014 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally with the unpack command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.15580509
title: MetaSBT Viruses database

description: MetaSBT Viruses database.

It comprises 26,285 reference genomes and 190,756 MAGs organised into 40,729 species, 13,916 genera, 8,862 families, 6,551 orders, 3,014 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally with the unpack command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.7786393
title: MetaSBT Viruses database

description: MetaSBT Viruses database.

It comprises 26,285 reference genomes and 190,756 MAGs organised into 40,729 species, 13,916 genera, 8,862 families, 6,551 orders, 3,014 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally with the unpack command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.7786394
title: MetaSBT Viruses database

description: Warning: This database has been produced with an outdated version of MetaSBT which is not supported anymore. Thus, the visibility of this database has been changed to Restricted.

 

MetaSBT database composed of taxonomically organised Sequence Bloom Trees built over the reference genomes of NCBI GenBank under the Viruses superkingdom.

It comprises 13,480 reference genomes organised into 2,819 species, 460 genera, 118 families, 53 orders, 33 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally through the install command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.7796294
title: MetaSBT Viruses database

description: Warning: This database has been produced with an outdated version of MetaSBT which is not supported anymore. Thus, the visibility of this database has been changed to Restricted.

 

MetaSBT database composed of taxonomically organised Sequence Bloom Trees built over the reference genomes of NCBI GenBank under the Viruses superkingdom.

It comprises 13,480 reference genomes organised into 2,819 species, 460 genera, 118 families, 53 orders, 33 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally through the install command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.5281/zenodo.7843131
title: MetaSBT Viruses database

description: Warning: This database has been produced with an outdated version of MetaSBT which is not supported anymore. Thus, the visibility of this database has been changed to Restricted.

 

MetaSBT database composed of taxonomically organised Sequence Bloom Trees built over the reference genomes of NCBI GenBank under the Viruses superkingdom.

It comprises 13,570 reference genomes organised into 2,819 species, 460 genera, 118 families, 53 orders, 33 classes, and 17 phyla.

MetaSBT public databases are indexed in the MetaSBT-DBs repository on GitHub at https://github.com/cumbof/MetaSBT-DBs and they are produced with the open-source MetaSBT framework available at https://github.com/cumbof/MetaSBT.

Databases can be installed locally through the install command of MetaSBT as documented in the official wiki at https://github.com/cumbof/MetaSBT/wiki.

Other commands to interact with the database are available through the MetaSBT framework and are documented in the same wiki.
DOI: 10.15468/dl.z7cp58
title: Occurrence Download

description: A dataset containing 5330168 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 5330168 records from 1520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016710-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a23t9d759
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, R5c Vaskiny Dachi, West Siberia 2007-2020

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost.
 CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a27m0418h
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, R5d Vaskiny Dachi, West Siberia 2007-2020

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost.
 CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2vd6p61s
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, R5a Vaskiny Dachi, West Siberia 2007-2020

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost.
 CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.15468/dl.st5pff
title: Occurrence Download

description: A dataset containing 43622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nocardioides Prauser, 1976"
 ]
}

 The dataset includes 43622 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016392-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a23r0pv43
title: Root tissue chemistry, mycorrhizal colonization, and uptake of 15N tracer in glycine, ammonium, and nitrate form across a tree density gradient in northeastern Siberia. 2017.

description: Greater tree density and forest productivity at the tundra-taiga ecotone (TTE) are expected with climate warming, with potential feedbacks to the climate system. Yet, competition for nitrogen (N) may impact TTE dynamics. Greater tree density will likely increase N demand, while reducing N supply through soil shading and slower decomposition rates. We explored whether characteristics of roots and root-associated fungi important to N acquisition responded to changes in density at the TTE. We characterized C and N tissue concentrations and natural abundance isotope signatures, ectomycorrhizal colonization, along with the uptake of 15N enriched tracers in glycine, ammonium, and nitrate form by excised fine roots of Cajander larch (Larix cajanderi) from 10 stands arrayed across a tree density gradient at the taiga-tundra ecotone in far northeastern Siberia.
DOI: 10.15468/dl.gcckyk
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Citrus sinensis",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2000",
 {
 "and" : [
 {
 "not" : {
 "DecimalLatitude" : [
 "is 0"
 ]
 }
 },
 {
 "not" : {
 "DecimalLongitude" : [
 "is 0"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 373 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024959-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psm8vx
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-3.96348 39.98639,-3.95713 39.93529,-3.88543 39.95151,-3.90924 39.98639,-3.96348 39.98639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Columba livia J.F.Gmelin, 1789"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017665-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/2anowq
title: AGE OF TRANSITION: COMPETITIVENESS OF GEN Z IN INDONESIA

description: Globalization has made human mobility high and the employment sector in a tight competition. In this era of globalization, all workers from various countries can find the same point of competition, Indonesia is no exception. Indonesia has a high population surplus and Indonesia also has a population dominated by productive generations. However, the era of globalization also brings a quite worrying impact, namely in the age of free competition. With the implementation of free trade cooperation, many foreign workers must be allowed to work in Indonesia and compete freely with workers from Indonesia. Competitiveness is crucial to keep Indonesian workers have a sense of competitiveness with workers from other countries (Ernst & Haar, 2019). The purpose of this study is to determine the competitiveness of Generation Z in the face of a free work competition in the disruptive era by identifying some main ideas about preparing and equipping Generation Z in developing portfolios and skills needed by the world of work. This research will use two option methods. The first method is a quantitative paradigm by using a questionnaire as a tool to determine the respondent's perspective with some questions. The second method is a qualitative paradigm by using a focus group discussion to describe a detail of the phenomenon to be analyzed comprehensively.