cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive17567.20250331.9.3
title: Stenotrophomonas terrae Heylen et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17567.20251217.10
title: Stenotrophomonas terrae Heylen et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0085184.10fu
title: SH0085184.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive17568.20250331.9.3
title: Stenotrophomonas chelatiphaga Kaparullina et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.bsekem
title: Occurrence Download

description: A dataset containing 4796 records in GBIF matching the query:

SELECT 
 countryCode,
 CASE 
 WHEN classKey IN ('359') THEN 'Mammals'
 WHEN classKey IN ('212') THEN 'Birds'
 WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'Bony Fish'
 WHEN classKey IN ('131') THEN 'Amphibians'
 WHEN classKey IN ('216') THEN 'Insects'
 WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'Reptiles'
 WHEN phylumKey IN ('52') THEN 'Molluscs'
 WHEN classKey IN ('367') THEN 'Arachnids'
 WHEN classKey IN ('220', '196') THEN 'Flowering Plants'
 WHEN classKey IN ('194', '244', '228', '282') THEN 'Gymnosperms'
 WHEN orderKey IN ('392') THEN 'Ferns'
 WHEN phylumKey IN ('35') THEN 'Mosses'
 WHEN phylumKey IN ('95') THEN 'Sac Fungi'
 WHEN phylumKey IN ('34') THEN 'Basidiomycota'
 ELSE 'Other'
 END AS taxon_group,
 kingdom,
 COUNT(DISTINCT speciesKey) AS species_count
FROM occurrence
WHERE 
 hasCoordinate = TRUE
 AND hasgeospatialissues = FALSE
 AND speciesKey IS NOT NULL
 AND basisOfRecord != 'FOSSIL_SPECIMEN'
 AND taxonrank = 'SPECIES'
 AND countryCode IS NOT NULL
GROUP BY 
 countryCode,
 kingdom,
 CASE 
 WHEN classKey IN ('359') THEN 'Mammals'
 WHEN classKey IN ('212') THEN 'Birds'
 WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'Bony Fish'
 WHEN classKey IN ('131') THEN 'Amphibians'
 WHEN classKey IN ('216') THEN 'Insects'
 WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'Reptiles'
 WHEN phylumKey IN ('52') THEN 'Molluscs'
 WHEN classKey IN ('367') THEN 'Arachnids'
 WHEN classKey IN ('220', '196') THEN 'Flowering Plants'
 WHEN classKey IN ('194', '244', '228', '282') THEN 'Gymnosperms'
 WHEN orderKey IN ('392') THEN 'Ferns'
 WHEN phylumKey IN ('35') THEN 'Mosses'
 WHEN phylumKey IN ('95') THEN 'Sac Fungi'
 WHEN phylumKey IN ('34') THEN 'Basidiomycota'
 ELSE 'Other'
 END
ORDER BY countryCode, taxon_group, kingdom


 The dataset's 4796 records were derived from 64542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076918-251120083545085/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.28544819
title: Research Data Set (Napsan teachers training need)

description: The research data aimed to determine the research training needs of teachers in Napsan, Puerto Princesa, Philippines.
DOI: 10.6084/m9.figshare.28544819.v1
title: Research Data Set (Napsan teachers training need)

description: The research data aimed to determine the research training needs of teachers in Napsan, Puerto Princesa, Philippines.
DOI: 10.15468/dl.yy7gjb
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.80087 19.04798,112.58265 18.10221,136.2269 42.21934,120.33797 58.48659,91.11367 33.13995,101.80087 19.04798))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orychophragmus violaceus"
 ]
}

 The dataset includes 1232 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000855-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17447651
title: Dataset for "First Triple-frequency retrievals of binned raindrop size distributions"
DOI: 10.6084/m9.figshare.30448190
title: <b><i>Inocybe leucantheana </i></b>Bandini, Kehlet & Heilm.-Claus. <b><i>sp. nov.</i></b> (Fungal Planet); aligment + raw tree output

description: Desription of new fungal species, Inocybe leucantheana
DOI: 10.6084/m9.figshare.30448190.v1
title: <b><i>Inocybe leucantheana </i></b>Bandini, Kehlet & Heilm.-Claus. <b><i>sp. nov.</i></b> (Fungal Planet); aligment + raw tree output

description: Desription of new fungal species, Inocybe leucantheana
DOI: 10.15468/dl.k44j8r
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sinopodophyllum hexandrum"
 ]
}

 The dataset includes 598 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000857-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zeav8y
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.18793 41.23996,13.71955 41.22148,13.73625 41.49927,13.20225 41.51785,13.18793 41.23996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lasiommata megera",
 "Year 1990-2025"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000858-251025141854904/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.30448160
title: Database of the flora of the mangrove-semi-deciduous forest ecotone in a coastal sector of Cienfuegos province, Cuba

description: Ecotones are transition zones between two adjacent plant formations, with diffuse boundaries whose functions include buffering boundary effects on ecosystems and allowing the flow of species and genes. Studying their floral composition provides insight into not only their richness but also into the natural and anthropogenic transformations that occur within them. The mangrove-semideciduous forest ecotone at Punta Iguana, located at the mouth of the Caunao River in Cienfuegos Bay, Cuba, hosts both endemic and threatened flora. But information on their distribution and conservation status is scarce. Therefore, this research aimed to assess the status of the flora present in this space.
DOI: 10.6084/m9.figshare.30448160.v1
title: Database of the flora of the mangrove-semi-deciduous forest ecotone in a coastal sector of Cienfuegos province, Cuba

description: Ecotones are transition zones between two adjacent plant formations, with diffuse boundaries whose functions include buffering boundary effects on ecosystems and allowing the flow of species and genes. Studying their floral composition provides insight into not only their richness but also into the natural and anthropogenic transformations that occur within them. The mangrove-semideciduous forest ecotone at Punta Iguana, located at the mouth of the Caunao River in Cienfuegos Bay, Cuba, hosts both endemic and threatened flora. But information on their distribution and conservation status is scarce. Therefore, this research aimed to assess the status of the flora present in this space.
DOI: 10.6084/m9.figshare.30448160.v2
title: Database of the flora of the mangrove-semi-deciduous forest ecotone in a coastal sector of Cienfuegos province, Cuba

description: Ecotones are transition zones between two adjacent plant formations, with diffuse boundaries whose functions include buffering boundary effects on ecosystems and allowing the flow of species and genes. Studying their floral composition provides insight into not only their richness but also into the natural and anthropogenic transformations that occur within them. The mangrove-semideciduous forest ecotone at Punta Iguana, located at the mouth of the Caunao River in Cienfuegos Bay, Cuba, hosts both endemic and threatened flora. But information on their distribution and conservation status is scarce. Therefore, this research aimed to assess the status of the flora present in this space.
DOI: 10.15468/dl.g6xgby
title: Occurrence Download

description: A dataset containing 619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((91.82903 9.99623,152.36208 9.99623,152.36208 59.20912,91.82903 59.20912,91.82903 9.99623))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rorippa cantoniensis"
 ]
}

 The dataset includes 619 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000860-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17447771
title: Velocidad de la Luz y la Metrica

description: El estudio propone que la **velocidad de la luz en el vacío (c)** no es un postulado fundamental, sino una **propiedad emergente** derivada de la ontología de la Teoría del Modelo de la Realidad Cuántica Universal ahora Teoría Cromodinámica Sincrónica (TCDS).

 

La TMRCU(TCDS) se basa en un **Conjunto Granular Absoluto (CGA)**, con una distancia mínima ($l_P$, longitud de Planck) y un tiempo mínimo ($t_P$, tiempo de Planck). La luz se interpreta como una onda de **Sincronización Lógica ($\Sigma$)** que se propaga actualizando secuencialmente los nodos de esta red [cite: 3231-3233]. [cite_start]Por lo tanto, $c$ se deriva como la **máxima velocidad de procesamiento** del CGA: $c = l_P / t_P$. No es una velocidad de viaje, sino la velocidad a la que el universo "computa" la realidad.

 

---

## Métricas Fundamentales del CGA

 

Se introducen métricas a escala de Planck:

***Granularidad ($l_P$)**: Unidad fundamental de longitud[cite: 3251].

***Tasa de Actualización ($t_P$)**: Unidad fundamental de tiempo[cite: 3254].

***Coherencia Nodal ($\Sigma_i$)**: Estado de coherencia [0, 1] de un nodo.

***Fricción Nodal ($\phi_i$)**: Costo del cambio de estado, relacionado con la masa.

 

---

## El Sigma K-Rate ($\kappa_\Sigma$) como Puente Unificador

 

Se introduce el **Sigma K-Rate ($\kappa_\Sigma$)** como una métrica adimensional que mide la **eficiencia de propagación de la coherencia** ($\kappa_\Sigma = 1$ en vacío). Este $\kappa_\Sigma$ conecta la escala de Planck (microcosmos) con la relatividad de Einstein (macrocosmos) sin alterarlas, revelando que $c$ y la escala de Planck son dos caras de la eficiencia de procesamiento del CGA. Se formaliza a nivel micro ($\kappa_\Sigma = \sqrt{Z_s/Z_t}$) y macro ($\kappa_\Sigma = \sqrt{-g_{00}}$) [cite: 3360, 3362] [cite_start]y se integra en el Lagrangiano TMRCU(TCDS)

 

---

## Falsabilidad y Estrategia

 

El documento también incluye una **estrategia de presentación** del $\kappa_\Sigma$, usándolo para derivar **predicciones falsables** que la física actual no contempla, como la dependencia de la velocidad de la luz en un medio con la intensidad. Se incluyen **predicciones (P1-P4)** y una **autocrítica** sobre la validez del marco.
DOI: 10.5281/zenodo.17447772
title: Velocidad de la Luz y la Metrica

description: El estudio propone que la **velocidad de la luz en el vacío (c)** no es un postulado fundamental, sino una **propiedad emergente** derivada de la ontología de la Teoría del Modelo de la Realidad Cuántica Universal ahora Teoría Cromodinámica Sincrónica (TCDS).

 

La TMRCU(TCDS) se basa en un **Conjunto Granular Absoluto (CGA)**, con una distancia mínima ($l_P$, longitud de Planck) y un tiempo mínimo ($t_P$, tiempo de Planck). La luz se interpreta como una onda de **Sincronización Lógica ($\Sigma$)** que se propaga actualizando secuencialmente los nodos de esta red [cite: 3231-3233]. [cite_start]Por lo tanto, $c$ se deriva como la **máxima velocidad de procesamiento** del CGA: $c = l_P / t_P$. No es una velocidad de viaje, sino la velocidad a la que el universo "computa" la realidad.

 

---

## Métricas Fundamentales del CGA

 

Se introducen métricas a escala de Planck:

***Granularidad ($l_P$)**: Unidad fundamental de longitud[cite: 3251].

***Tasa de Actualización ($t_P$)**: Unidad fundamental de tiempo[cite: 3254].

***Coherencia Nodal ($\Sigma_i$)**: Estado de coherencia [0, 1] de un nodo.

***Fricción Nodal ($\phi_i$)**: Costo del cambio de estado, relacionado con la masa.

 

---

## El Sigma K-Rate ($\kappa_\Sigma$) como Puente Unificador

 

Se introduce el **Sigma K-Rate ($\kappa_\Sigma$)** como una métrica adimensional que mide la **eficiencia de propagación de la coherencia** ($\kappa_\Sigma = 1$ en vacío). Este $\kappa_\Sigma$ conecta la escala de Planck (microcosmos) con la relatividad de Einstein (macrocosmos) sin alterarlas, revelando que $c$ y la escala de Planck son dos caras de la eficiencia de procesamiento del CGA. Se formaliza a nivel micro ($\kappa_\Sigma = \sqrt{Z_s/Z_t}$) y macro ($\kappa_\Sigma = \sqrt{-g_{00}}$) [cite: 3360, 3362] [cite_start]y se integra en el Lagrangiano TMRCU(TCDS)

 

---

## Falsabilidad y Estrategia

 

El documento también incluye una **estrategia de presentación** del $\kappa_\Sigma$, usándolo para derivar **predicciones falsables** que la física actual no contempla, como la dependencia de la velocidad de la luz en un medio con la intensidad. Se incluyen **predicciones (P1-P4)** y una **autocrítica** sobre la validez del marco.
DOI: 10.15468/dl.y2btn8
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.14.19_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 258 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000863-251025141854904/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.30448187
title: Raw data for<b> </b>peroxin Pex8 in <i>Candida albicans</i>

description: <i>Candida albicans</i>, a World Health Organization critical-priority fungal pathogen, represents the predominant cause of candidemia. Therapeutic failure is sometimes driven by antifungal tolerance, a phenotype distinct from resistance, whose underlying mechanisms remain incompletely defined. Here, we identify the peroxisomal protein Pex8 as a key regulator of tolerance to both azoles and amphotericin B. Although neither deletion nor overexpression of <i>PEX8</i> altered minimum inhibitory concentrations, both modifications significantly reduced drug tolerance, as demonstrated by reduced fractional growth (FoG<sub>20</sub>) and impaired survival under drug pressure. Mechanistically, RNA-seq analysis revealed that <i>PEX8</i> overexpression suppresses ergosterol biosynthesis genes and reprograms stress-response pathways, providing a molecular basis for the observed azole tolerance attenuation. Complementary lipidomic profiling demonstrated that <i>PEX8</i> genetic manipulations induce extensive membrane lipid remodeling, characterized by specific alterations in ceramide and lysophospholipid subclasses, thereby revealing an ergosterol-independent mechanism underlying amphotericin B tolerance attenuation. Phenotypically, <i>PEX8</i> overexpression attenuated serum-induced hyphal morphogenesis and reduced virulence in a <i>Galleria mellonella</i> infection model, consistent with downregulation of hyphal-associated and virulence-related genes. Our findings establish Pex8 as a central coordinator of oxidative stress adaptation, membrane homeostasis, filamentation, and pathogenicity, revealing a promising target for combating antifungal tolerance.
DOI: 10.6084/m9.figshare.30448187.v1
title: Raw data for<b> </b>peroxin Pex8 in <i>Candida albicans</i>

description: <i>Candida albicans</i>, a World Health Organization critical-priority fungal pathogen, represents the predominant cause of candidemia. Therapeutic failure is sometimes driven by antifungal tolerance, a phenotype distinct from resistance, whose underlying mechanisms remain incompletely defined. Here, we identify the peroxisomal protein Pex8 as a key regulator of tolerance to both azoles and amphotericin B. Although neither deletion nor overexpression of <i>PEX8</i> altered minimum inhibitory concentrations, both modifications significantly reduced drug tolerance, as demonstrated by reduced fractional growth (FoG<sub>20</sub>) and impaired survival under drug pressure. Mechanistically, RNA-seq analysis revealed that <i>PEX8</i> overexpression suppresses ergosterol biosynthesis genes and reprograms stress-response pathways, providing a molecular basis for the observed azole tolerance attenuation. Complementary lipidomic profiling demonstrated that <i>PEX8</i> genetic manipulations induce extensive membrane lipid remodeling, characterized by specific alterations in ceramide and lysophospholipid subclasses, thereby revealing an ergosterol-independent mechanism underlying amphotericin B tolerance attenuation. Phenotypically, <i>PEX8</i> overexpression attenuated serum-induced hyphal morphogenesis and reduced virulence in a <i>Galleria mellonella</i> infection model, consistent with downregulation of hyphal-associated and virulence-related genes. Our findings establish Pex8 as a central coordinator of oxidative stress adaptation, membrane homeostasis, filamentation, and pathogenicity, revealing a promising target for combating antifungal tolerance.
DOI: 10.6084/m9.figshare.26509681
title: Data Set for the study entitled: Environmental Degradation, Renewable Energy, Global Climate Change, and Economic Growth for Sustainable Development in The Ten Highest Climate Risk Countries

description: the highest Global Climate Risk Index (CRI). These countries, referred to as TenHRCC, include The Bahamas, Bangladesh, Haiti, Mozambique, Myanmar, Nepal, Pakistan, the Philippines, Puerto Rico, and Thailand.Annual data from 2005 to 2019 is utilized. The <i>dependent variable</i> is <i>CRI</i>, while the <i>independent variables</i> consist of <i>Ecological Footprint (EF)</i> and <i>Forest Area (FA)</i> provided by the Global Footprint Network as <i>indicators of Environmental Variables</i>, and the <i>ratio of Renewable Energy Consumption to Total Energy Consumption (REC)</i> as the <i>Renewable Energy variable</i>. <i>Economic Growth (EG)</i> is designated as the <i>control variable</i>, given its known influence on climate change according to the literature.
DOI: 10.6084/m9.figshare.26509681.v1
title: Data Set for the study entitled: Environmental Degradation, Renewable Energy, Global Climate Change, and Economic Growth for Sustainable Development in The Ten Highest Climate Risk Countries

description: the highest Global Climate Risk Index (CRI). These countries, referred to as TenHRCC, include The Bahamas, Bangladesh, Haiti, Mozambique, Myanmar, Nepal, Pakistan, the Philippines, Puerto Rico, and Thailand.Annual data from 2005 to 2019 is utilized. The <i>dependent variable</i> is <i>CRI</i>, while the <i>independent variables</i> consist of <i>Ecological Footprint (EF)</i> and <i>Forest Area (FA)</i> provided by the Global Footprint Network as <i>indicators of Environmental Variables</i>, and the <i>ratio of Renewable Energy Consumption to Total Energy Consumption (REC)</i> as the <i>Renewable Energy variable</i>. <i>Economic Growth (EG)</i> is designated as the <i>control variable</i>, given its known influence on climate change according to the literature.
DOI: 10.15468/dl.uxhtgw
title: Occurrence Download

description: A dataset containing 1053855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Recurvirostra avosetta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.542322 25.637500, 53.987701 25.637500, 53.987701 73.184014, -26.542322 73.184014, -26.542322 25.637500))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 1053855 records from 659 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000853-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17442882
title: Experimental Data, MATLAB Scripts, and CAD Files for a Sensory Feedback Device for Upper-limb Prostheses

description: This dataset contains the experimental data, MATLAB analysis scripts, and CAD files used for modeling and characterization of a sensory feedback device designed for upper-limb prostheses. The repository supports the work titled “Design and Development of a Human-Hand-Inspired Tactile Display: Conveying Phalangeal Forces and Grip Patterns to the Upper Arm”

The data include raw voltage signals recorded from the actuator and muscle parameters experiments during parameter identification experiments, along with scripts for transfer-function estimation, curve-fitting comparison, and a simple thermal budget analysis. CAD file of the actuator coil bobbin is provided for reference and reproducibility.

Each MATLAB script is fully commented and corresponds to a specific step in the system-identification workflow:





Importing raw signal data




Estimating the actuator transfer function using the System Identification Toolbox




Comparing model outputs with measured data and computing the fit percentage




Performing thermal analysis to determine safe current limits under natural convection



All files are intended to facilitate transparent verification of the device’s performance and to support further research in prosthetic sensory feedback, electromechanical actuator design, and thermally safe wearable interfaces.