cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p5h8rx
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "OccurrenceStatus is Present",
 "TaxonKey is Ocypode Weber, 1795"
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019301-250525065834625/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.29232133.v1
title: Additional file 2 of Integrative molecular subtyping and diagnostic model construction for Moyamoya disease based on diverse programmed cell death gene patterns

description: Supplementary Material 2
DOI: 10.15468/dl.deqs3r
title: Occurrence Download

description: A dataset containing 19248941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 19248941 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019287-250525065834625/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.29232102
title: Additional file 3 of Identification of high-affinity nicotinic acid transporter genes from Verticillium dahliae and functional analysis based on HIGS technology

description: Supplementary Material 3: Table S1. The information of 66 proteins used in the phylogenetic analysis.
DOI: 10.6084/m9.figshare.29079145.v2
title: Additional file 1 of Non-typhoidal Salmonella transmission reservoirs in sub-Saharan Africa: a genomic assessment from a One Health perspective

description: Supplementary Material 1.
DOI: 10.15468/dl.6tzg5z
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019300-250525065834625/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.29079145.v1
title: Additional file 1 of Non-typhoidal Salmonella transmission reservoirs in Sub-Saharan Africa: a genomic assessment from a one health perspective

description: Supplementary Material 1.
DOI: 10.15468/dl.b4qf7u
title: Occurrence Download

description: A dataset containing 36783 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'PK'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 36783 records were derived from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019289-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15589139
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604d Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604d Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15589140
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604d Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604d Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.34740/kaggle/dsv/12053175
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.anxfq6
title: Occurrence Download

description: A dataset containing 2065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.07716 5.83892,-73.98088 5.71678,-73.82843 5.7783,-73.82932 5.81886,-73.88192 5.85051,-74.02991 5.85809,-74.07716 5.83892))",
 "StateProvince is one of (Santander, Santander (?), Santander Department, Santander Dept, Santander Dept., Santander Dpt.)"
 ]
}

 The dataset includes 2065 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019303-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15589077
title: Anexo Técnico de Simulación – Ecuación Guerrero
title: Simulation Technical Annex – Guerrero Equation

description: Este paquete contiene las versiones en español e inglés del Anexo Técnico de Simulación, complemento oficial del documento “El Nacimiento de Maya”. Aquí se desarrolla la formulación computacional completa de la Ecuación Guerrero, una ecuación de campo escalar no lineal que acopla vibración, curvatura del espacio-tiempo y materia, como base estructural de la Malla Cuántica Consciente (TMC).

 

El anexo incluye:

 



Derivación desde el Lagrangiano

Definición detallada de parámetros

Funciones f(φ) y justificación física

Condiciones iniciales y de frontera

Dominios simulables (SOVI, SIRIE–EM, SICC)

Métodos numéricos sugeridos (FDM)

Salidas simuladas de ejemplo

Referencias cruzadas al documento original


 

 

Este anexo permite a físicos, ingenieros y programadores ejecutar simulaciones directas de los procesos nodales descritos en la teoría, facilitando su validación abierta.

Simulation Technical Annex – Guerrero Equation

This package contains the Spanish and English versions of the Simulation Technical Annex, the official computational extension of the document The Birth of Maya. It presents the complete numerical formulation of the Guerrero Equation, a nonlinear scalar field equation coupling vibration, spacetime curvature, and matter — the structural basis of the Conscious Quantum Mesh (TMC).

 

Included in this annex:

 



Derivation from the Lagrangian

Full parameter definitions

f(φ) functions and physical justification

Initial and boundary conditions

Simulable domains (SOVI, SIRIE–EM, SICC)

Recommended numerical methods (FDM)

Sample simulated outputs

Cross-references to the main paper


 

 

This annex enables physicists, engineers, and developers to run simulations of the nodal structuring processes described in the theory, opening the door for independent validation.
DOI: 10.15468/dl.atv7x3
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "OccurrenceStatus is Present",
 "TaxonKey is Tubuca Bott, 1973"
 ]
}

 The dataset includes 92 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019304-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ap9kgq
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bauhinia subrotundifolia Cav."
 ]
}

 The dataset includes 285 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019306-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqjyp6
title: Occurrence Download

description: A dataset listing the 77 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is New Zealand Freshwater Fish Database (extended)"
 ]
}

 The dataset's 77 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019302-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc754w
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019305-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7341720
title: Soil microbial dark matter explored from genome-resolved metagenomics

description: Tremendous amounts of unidentified microbes harbored in soils are referred to as soil microbial dark matter and are arguably a crucial trove of microbial biodiversity and genetic resources. To comprehensively explore soil microbial dark matter, we established the SMAG catalog by reconstructing 40,039 metagenome-assembled genomes (MAGs) from 3463 soil metagenomes.
DOI: 10.5281/zenodo.7941421
title: Soil microbial dark matter explored from genome-resolved metagenomics

description: <strong>Soil contains a vast number of unidentified microbes, known as soil microbial dark matter. This is an important source of microbial biodiversity and genetic resources</strong><strong>, but has yet to be fully explored.</strong><strong> In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 2,990 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. The uSGBs identified substantially increased the functional landscape and intra-species genome diversity of the soil microbiome, and provided large proportions of the 43,169 biosynthetic gene clusters and 8,544 CRISPR-Cas genes mined from the SMAG catalog. This suggests their potential for genetic resource exploitation. In addition, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results demonstrate the richness of microbial dark matter in soil and highlight its potential in inspiring new avenues of research in the field of soil microbiology. We believe that the SMAG catalog will be of great value and interest to the broad readership, and will serve as a valuable genomic database to drive significant advances in understanding soil microbial biodiversity and exploiting novel genetic resources. </strong>
DOI: 10.5281/zenodo.7941485
title: Soil microbial dark matter explored from genome-resolved metagenomics

description: <strong>Soil contains a vast number of unidentified microbes, known as soil microbial dark matter. This is an important source of microbial biodiversity and genetic resources</strong><strong>, but has yet to be fully explored.</strong><strong> In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 2,990 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. The uSGBs identified substantially increased the functional landscape and intra-species genome diversity of the soil microbiome, and provided large proportions of the 43,169 biosynthetic gene clusters and 8,544 CRISPR-Cas genes mined from the SMAG catalog. This suggests their potential for genetic resource exploitation. In addition, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results demonstrate the richness of microbial dark matter in soil and highlight its potential in inspiring new avenues of research in the field of soil microbiology. We believe that the SMAG catalog will be of great value and interest to the broad readership, and will serve as a valuable genomic database to drive significant advances in understanding soil microbial biodiversity and exploiting novel genetic resources. </strong>
DOI: 10.5281/zenodo.7341719
title: New Soil Metagenome-Assembled Genomes Catalogue Boosts Genetic Resources

description: Soil harbors a vast expanse of unidentified microbes, termed as microbial dark matter, presenting an untapped reservoir of microbial biodiversity and genetic resources, but has yet to be fully explored. In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 3,304 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. We also illustrate the pivotal role of uSGBs in augmenting soil microbiome's functional landscape and intra-species genome diversity, providing large proportions of the 43,169 biosynthetic gene clusters and 8,545 CRISPR-Cas genes. Additionally, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results propose the SMAG catalog, a novel and expansive genomic resource that brings the soil microbial biodiversity and novel genetic resources to light.
DOI: 10.5281/zenodo.7810471
title: Soil microbial dark matter explored from genome-resolved metagenomics

description: Tremendous amounts of unidentified microbes harbored in soils are referred to as soil microbial dark matter and are arguably a crucial trove of microbial biodiversity and genetic resources. To comprehensively explore soil microbial dark matter, we established the SMAG catalog by reconstructing 40,039 metagenome-assembled genomes (MAGs) from 3463 soil metagenomes.
DOI: 10.5281/zenodo.7810480
title: Soil microbial dark matter explored from genome-resolved metagenomics

description: <strong>Soil contains a vast number of unidentified microbes, known as soil microbial dark matter. This is an important source of microbial biodiversity and genetic resources</strong><strong>, but has yet to be fully explored.</strong><strong> In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 3,463 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. The uSGBs identified substantially increased the functional landscape and intra-species genome diversity of the soil microbiome, and provided large proportions of the 43,169 biosynthetic gene clusters and 8,544 CRISPR-Cas genes mined from the SMAG catalog. This suggests their potential for genetic resource exploitation. In addition, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results demonstrate the richness of microbial dark matter in soil and highlight its potential. Furthermore, the SMAG catalog will serve as a valuable genomic database for understanding soil microbial biodiversity and exploiting novel genetic resources.</strong>
DOI: 10.5281/zenodo.7941562
title: Soil microbial dark matter explored from genome-resolved metagenomics

description: <strong>Soil contains a vast number of unidentified microbes, known as soil microbial dark matter. This is an important source of microbial biodiversity and genetic resources</strong><strong>, but has yet to be fully explored.</strong><strong> In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 2,990 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. The uSGBs identified substantially increased the functional landscape and intra-species genome diversity of the soil microbiome, and provided large proportions of the 43,169 biosynthetic gene clusters and 8,544 CRISPR-Cas genes mined from the SMAG catalog. This suggests their potential for genetic resource exploitation. In addition, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results demonstrate the richness of microbial dark matter in soil and highlight its potential in inspiring new avenues of research in the field of soil microbiology. We believe that the SMAG catalog will be of great value and interest to the broad readership, and will serve as a valuable genomic database to drive significant advances in understanding soil microbial biodiversity and exploiting novel genetic resources. </strong>
DOI: 10.5281/zenodo.8223811
title: New Soil Metagenome-Assembled Genomes Catalogue Boosts Genetic Resources

description: <strong>Soil contains a vast number of unidentified microbes, known as soil microbial dark matter. This is an important source of microbial biodiversity and genetic resources</strong><strong>, but has yet to be fully explored.</strong><strong> In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 2,990 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. The uSGBs identified substantially increased the functional landscape and intra-species genome diversity of the soil microbiome, and provided large proportions of the 43,169 biosynthetic gene clusters and 8,544 CRISPR-Cas genes mined from the SMAG catalog. This suggests their potential for genetic resource exploitation. In addition, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results demonstrate the richness of microbial dark matter in soil and highlight its potential in inspiring new avenues of research in the field of soil microbiology. We believe that the SMAG catalog will be of great value and interest to the broad readership, and will serve as a valuable genomic database to drive significant advances in understanding soil microbial biodiversity and exploiting novel genetic resources. </strong>
DOI: 10.5281/zenodo.8223844
title: New Soil Metagenome-Assembled Genomes Catalogue Boosts Genetic Resources

description: Soil harbors a vast expanse of unidentified microbes, termed as microbial dark matter, presenting an untapped reservoir of microbial biodiversity and genetic resources, but has yet to be fully explored. In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 3,304 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. We also illustrate the pivotal role of uSGBs in augmenting soil microbiome's functional landscape and intra-species genome diversity, providing large proportions of the 43,169 biosynthetic gene clusters and 8,545 CRISPR-Cas genes. Additionally, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results propose the SMAG catalog, a novel and expansive genomic resource that brings the soil microbial biodiversity and novel genetic resources to light.
DOI: 10.15468/dl.288nzp
title: Occurrence Download

description: A dataset containing 5069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer grandidentatum Nutt. ex Torr. & A.Gray)",
 "StateProvince is one of (Arizona, Colorado, Idaho, Mexico Northeast, Mexico Northwest, Montana, Nevada, New Mexico, Oklahoma, Texas, Utah, Wyoming)"
 ]
}

 The dataset includes 5069 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022445-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3stk8e
title: Occurrence Download

description: A dataset containing 67335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Epilobium obscurum"
 ]
}

 The dataset includes 67335 records from 572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049996-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/20746802
title: Moment Tensor for September 27, 2022 MW 5.3 (GCMT) TURKEY
DOI: 10.17611/dp/20746808
title: Moment Tensor for September 27, 2022 MW 4.8 (GCMT) REYKJANES RIDGE
DOI: 10.17611/dp/20746814
title: Moment Tensor for September 27, 2022 MW 5.0 (GCMT) NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/20746820
title: Moment Tensor for September 27, 2022 MW 5.0 (GCMT) NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/20746826
title: Moment Tensor for September 27, 2022 MW 4.8 (GCMT) REYKJANES RIDGE
DOI: 10.17611/dp/20746832
title: Moment Tensor for September 27, 2022 MW 4.8 (GCMT) REYKJANES RIDGE
DOI: 10.17611/dp/20746838
title: Moment Tensor for September 27, 2022 MW 4.7 (GCMT) SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/20746844
title: Moment Tensor for September 27, 2022 MW 4.9 (GCMT) REYKJANES RIDGE
DOI: 10.17611/dp/20746850
title: Moment Tensor for September 27, 2022 MW 4.6 (GCMT) REYKJANES RIDGE
DOI: 10.17611/dp/20746856
title: Moment Tensor for September 27, 2022 MW 4.7 (GCMT) REYKJANES RIDGE