cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57931/2575233
title: High-resolution (30-m) urban land cover projections for Los Angeles California Urban Area: 2010 to 2100 under SSP3 and SSP5 [Updated simulations based on population-driven urban intensity transitions]

description: These data (v3)  are updated from previous versions (1 and 2) in that they include consider the effects of population on transitions in urban land intensity. This leads to more reasonable differences in urban land projections under variant SSPs.  For the present dataset, both SSP3 and SSP5 are provided.
These data represent simulations of future land use and land cover (LULCC) for Los Angeles urban area
(U.S. Census Bureau defined area) as raster tiff images at a 30-m pixel resolution and at decadal time
steps from 2010 to 2100. LULCC classes in this product follow the National Land Cover Dataset (NLCD)
classification. NLCD 21-24 correspond to open developed, low developed, medium developed, and high
developed urban land classes, respectively. Only urban land cover classes (NLCD class 21, 22, 23, and 24)
are dynamic over time; however, all NLCD classes are included in the final product. Therefore, NLCD
classes that do not convert to an urban class will be similar to year 2000. The products were developed
using a hybridized statistical and cellular automata approach. Linear mixed models (LMMs) were used
to estimate future urban land budgets based on 1-km urban land fraction projections from Gao and
Pesaresi (2021), whereas separate generalized linear mixed models (GLMMs) were used to estimate
shifts in urban land intensities based on retrospective shifts in NLCD urban class intensities over a 20-
year period. Based on urban land allocations from the statistical models, a cellular-automata and
downscaling routine was used to simulate dynamic urban land expansion at a 30-m resolution based on
suitability criteria. Scenarios of future urban landcover change projections include variant solutions for
the Shared Socioeconomic Pathway 5 (SSP5) and SSP 3 based on different population assumptions, different land
use intensification assumptions, variable land zoning constraints, and iterative adjustments to correct
for over allocation of urban expansion across decadal time periods from 2010 to 2100. This results in
320 raster products.
DOI: 10.15468/dl.7ctahu
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 (Gallinago undulata)",
 "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/0030473-250802193616735/datasets/export for details.
DOI: 10.15468/dl.cud7uv
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 (Gallinago undulata)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030471-250802193616735/datasets/export for details.
DOI: 10.15468/dl.29uuad
title: Occurrence Download

description: A dataset containing 2192 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 (Gallinago undulata)",
 "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 2192 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030472-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpxqvt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD7934"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030474-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujw8ms
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 (Gallinago undulata)",
 "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/0030476-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.14833440
title: Genomic Typing, Antimicrobial Resistance Gene, Virulence Factor and Plasmid Replicon Dataset for the Important Pathogenic Bacteria Staphylococcus aureus
title: Genomic analysis of Staphylococcus aureus from Genbank

description: Infections caused by diverse bacterial pathogens in both clinical and community environments pose a major global public health challenge. The increasing resistance of bacteria responsible for healthcare-associated infections to antimicrobial drugs has escalated into a critical threat, as highlighted by the World Health Organization. Certain groups or lineages of bacterial isolates, often referred to as "high-risk clones," play a key role in the dissemination of resistance within specific species.

Consequently, identifying and monitoring the spread of these clones, along with understanding the mechanisms through which they develop antibiotic resistance and improve their survival capabilities, is of utmost importance. Today, whole genome sequencing of relevant bacterial isolates is increasingly employed for these objectives, including epidemiological monitoring and the formulation of strategies to curb their spread. However, the accessibility and consistency of data obtained from genomic sequencing often present significant challenges for such research efforts.

In this dataset, we present the results of a genomic epidemiology analysis of 98,950 genomes of a dangerous bacterial pathogen Staphylococcus aureus obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), clonal complexes (CC) and cgMLST profiles are presented. The presence of antimicrobial resistance and virulence genes, as well as plasmid replicons and CRISPR-Cas systems, within the genomes is also reported. 

These data will be useful for researchers in the field of S. aureus genomic epidemiology, resistance analysis and prevention measure development.

The tables included in the database are as follows:

·         Summary table (table_summary): Contains typing information for all isolates, such as MLST sequence type (ST), SPA-types, clonal complex assignments, and the presence and type of CRISPR-Cas systems in the genomes.

·         AMR gene table (table_amr): Lists the AMR genes found in the genomes of all isolates, specifically those known to confer resistance to various classes of antimicrobial drugs.

·         Virulence gene table (table_vfdb): Provides information on the presence of genes encoding virulence factors as identified in the VFDB (Virulence Factor Database).

·         Plasmid replicon table (table_plasmid): Details the plasmid replicons detected in the genomes of the isolates.

·         cgMLST profile table (table_cgmlst): Includes the cgMLST profiles for the isolates, offering higher resolution and more detailed comparison than traditional MLST.

 

The instructions for the implementation of typical database use-case scenarios in Linux environment are provided in 'how_to_use.txt'.

The methods used for building the database are described in the 'methods.pdf'.
DOI: 10.5281/zenodo.16782906
title: Genomic Typing, Antimicrobial Resistance Gene, Virulence Factor and Plasmid Replicon Dataset for the Important Pathogenic Bacteria Staphylococcus aureus
title: Genomic analysis of Staphylococcus aureus from Genbank

description: Infections caused by diverse bacterial pathogens in both clinical and community environments pose a major global public health challenge. The increasing resistance of bacteria responsible for healthcare-associated infections to antimicrobial drugs has escalated into a critical threat, as highlighted by the World Health Organization. Certain groups or lineages of bacterial isolates, often referred to as "high-risk clones," play a key role in the dissemination of resistance within specific species.

Consequently, identifying and monitoring the spread of these clones, along with understanding the mechanisms through which they develop antibiotic resistance and improve their survival capabilities, is of utmost importance. Today, whole genome sequencing of relevant bacterial isolates is increasingly employed for these objectives, including epidemiological monitoring and the formulation of strategies to curb their spread. However, the accessibility and consistency of data obtained from genomic sequencing often present significant challenges for such research efforts.

In this dataset, we present the results of a genomic epidemiology analysis of 98,950 genomes of a dangerous bacterial pathogen Staphylococcus aureus obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), clonal complexes (CC) and cgMLST profiles are presented. The presence of antimicrobial resistance and virulence genes, as well as plasmid replicons and CRISPR-Cas systems, within the genomes is also reported. 

These data will be useful for researchers in the field of S. aureus genomic epidemiology, resistance analysis and prevention measure development.

The tables included in the database are as follows:

·         Summary table (table_summary): Contains typing information for all isolates, such as MLST sequence type (ST), SPA-types, clonal complex assignments, and the presence and type of CRISPR-Cas systems in the genomes.

·         AMR gene table (table_amr): Lists the AMR genes found in the genomes of all isolates, specifically those known to confer resistance to various classes of antimicrobial drugs.

·         Virulence gene table (table_vfdb): Provides information on the presence of genes encoding virulence factors as identified in the VFDB (Virulence Factor Database).

·         Plasmid replicon table (table_plasmid): Details the plasmid replicons detected in the genomes of the isolates.

·         cgMLST profile table (table_cgmlst): Includes the cgMLST profiles for the isolates, offering higher resolution and more detailed comparison than traditional MLST.

 

The instructions for the implementation of typical database use-case scenarios in Linux environment are provided in 'how_to_use.txt'.

The methods used for building the database are described in the 'methods.pdf'.
DOI: 10.15468/dl.j6pwz4
title: Occurrence Download

description: A dataset containing 1 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 (Gallinago undulata)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030478-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj7rqb
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 (Gallinago undulata)",
 "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/0030477-250802193616735/datasets/export for details.
DOI: 10.15468/dl.e9xg4n
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lucigadus ori"
 ]
}

 The dataset includes 148 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030480-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29874104
title: Database and results in open access software jasp

description: This file contains 765 responses from women in the Global South, analyzing the enabling conditions of entrepreneurial ecosystems.
DOI: 10.6084/m9.figshare.29874104.v1
title: Database and results in open access software jasp

description: This file contains 765 responses from women in the Global South, analyzing the enabling conditions of entrepreneurial ecosystems.
DOI: 10.15468/dl.acfc8j
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 (Nothura maculosa)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030482-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ejpe5f
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 (Nothura maculosa)",
 "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/0030483-250802193616735/datasets/export for details.
DOI: 10.7283/r37080
title: South Napa Valley Earthquake SFM U-066 PS01 SV01

description: This project documents offset features resulting from coseismic and post-seismic slip of the 2014 South Napa earthquake, using structure-from-motion digital photogrammetry. We record offsets at 11 sites along the surface rupture of the earthquake 8/25/14-8/27/14. Additionally, we document post-seismic slip through repeat occupation of two survey sites (South Ave. and Leaning Oak Dr.) along strike on 9/19/14, 10/7/14, and and one site (Leaning Oak Dr.) on 1/13/15.
DOI: 10.15468/dl.jfnjkw
title: Occurrence Download

description: A dataset containing 47911 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 (Nothura maculosa)",
 "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 47911 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030484-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vguuqq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAK8302"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030485-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh9yzd
title: Occurrence Download

description: A dataset containing 695331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Rumex acetosella"
 ]
}

 The dataset includes 695331 records from 2856 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030434-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16647169
title: SYREN Gravitational Reactor: Modular Symbolic Gravity, Directed Spacetime Curvature, and Reactionless Propulsion

description: This paper introduces the SYREN Gravitational Reactor, a revolutionary modular field technology designed to generate directed spacetime curvature and achieve reactionless propulsion. Extending Symbolic Modular Field Theory (SMFT), we derive a modified Einstein Field Equation incorporating a symbolic stress-energy tensor that alters spacetime geometry.

Key contributions include:





Derivation of the Modular Einstein Equations with symbolic field contributions.




Analytical framework for artificial gravity generation and propellantless thrust.




Numerical simulations producing curvature potential maps and demonstrating net reactionless thrust (~3.17×10−4 N3.17 \times 10^{-4}\,\mathrm{N}3.17×10−4N).




A detailed prototype design featuring nested electromagnetic shells, a symbolic modulation core ([[K]][[K]][[K]]), and dynamic feedback control.




A comprehensive roadmap for experimental validation, safety protocols, and future spacecraft applications.



The findings suggest that symbolic regenerative fields can stably generate controllable gravitational gradients, opening pathways to artificial gravity habitats, advanced propulsion systems, and modular spacetime engineering.