cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17560070
title: TCDS 31 ATLAS PREDICCION

description: Descripción — TCDS: Predicción post-perihelio para 3I/ATLAS

10.5281/zenodo.17560070

Este documento presenta la primera predicción astrofísica falsable derivada de la Teoría de la Cromodinámica Sincrónica (TCDS), aplicando su formalismo Σ–χ al objeto interestelar 3I/ATLAS durante la fase posterior a su perihelio. La hipótesis central sostiene que el campo de coherencia Σ, mediado por el sincronón σ, produce efectos observables de recaptura coherencial y modulación espectral no gravitacional en cuerpos de baja cohesión sometidos a radiación solar intensa.

 

El estudio propone tres indicadores experimentales verificables en el intervalo de 0–100 días post-perihelio:

 

1. Asimetría fotométrica del 10–20 % en la curva de luz respecto al modelo de sublimación clásico.

 

 

2. Corrimiento espectral no Doppler de 2–3 Å en las líneas CN 388 nm y C₂ 516 nm, atribuible al gradiente de coherencia φ.

 

 

3. Deriva orbital residual de 0.02–0.05 arcsec/día asociada a un acoplamiento efectivo κΣ ≈ 10⁻⁴–10⁻³.

 

 

 

Cada canal se acompaña de criterios de éxito y falsación expresos, métricas Σ-metrics (R(t), LI, RMSE_SL, κΣ) y un protocolo reproducible para observaciones fotométricas, espectroscópicas y dinámicas.

 

El objetivo es proporcionar una prueba empírica directa del campo Σ en un entorno interestelar, estableciendo un precedente de validación para la TCDS y un marco metodológico replicable para futuras campañas.

 

Licencia: CC BY 4.0

Autor: Genaro Carrasco Ozuna (Proyecto TCDS / MSL, México)

DOI actual :10.5281/zenodo.17560070

DOI base: 10.5281/zenodo.17505875
DOI: 10.6084/m9.figshare.29241983.v4
title: A-A

description: Dragonflies
DOI: 10.5281/zenodo.17394830
title: Esperanto word2vec embeddings trained on OpenSubtitles

description: This dataset contains the subs2vec embeddings for Esperanto, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17394831
title: Esperanto word2vec embeddings trained on OpenSubtitles

description: This dataset contains the subs2vec embeddings for Esperanto, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17524627
title: Climate change impacts on total phytoplankton and picoplankton in temperate shallow lake mesocosms depend on nutrient availability and the degree of warming
DOI: 10.5281/zenodo.17524628
title: Climate change impacts on total phytoplankton and picoplankton in temperate shallow lake mesocosms depend on nutrient availability and the degree of warming
DOI: 10.15468/dl.t5kw7d
title: Occurrence Download

description: A dataset listing the 175 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((31.50885 -24.96349,31.52682 -24.95965,31.45903 -24.96063,31.30871 -24.9459,31.23109 -24.99306,31.17015 -25.11415,31.28938 -25.46037,31.367 -25.53602,31.52703 -25.50155,31.54472 -25.4426,31.57812 -25.4485,31.65082 -25.4426,31.7137 -25.39741,31.77069 -25.38955,31.77756 -25.34141,31.84535 -25.39937,31.89546 -25.38267,31.921 -25.35123,31.94753 -25.41902,31.97308 -25.44457,32.01041 -25.4426,32.04909 -25.15478,32.04285 -24.37726,31.93871 -24.18863,31.89833 -23.93915,31.79124 -23.87431,31.702 -23.62022,31.56746 -23.43818,31.58122 -23.19059,31.32924 -22.43258,31.27619 -22.35104,31.22117 -22.36086,31.21233 -22.34023,31.16419 -22.31763,31.08756 -22.33139,31.03548 -22.32156,31.02762 -22.39426,31.05612 -22.44142,31.02664 -22.4817,30.94706 -22.50725,30.95922 -22.59224,30.86589 -22.71898,30.95136 -22.73961,30.91006 -22.89505,30.88882 -23.09619,31.03921 -23.49723,31.09145 -23.55991,31.08823 -23.60331,31.13404 -23.64429,31.1035 -23.65554,31.0376 -23.63867,31.01847 -23.80314,31.09803 -23.80796,31.14062 -23.80876,31.16714 -23.97153,31.21054 -23.99322,31.20331 -24.04466,31.18965 -24.04466,31.10607 -24.05912,31.05946 -24.09207,31.10125 -24.11216,31.10366 -24.14591,31.04852 -24.19289,31.06379 -24.31103,31.20233 -24.30476,31.24091 -24.36021,31.16537 -24.35619,31.14688 -24.43254,31.19912 -24.42129,31.25537 -24.49602,31.21599 -24.55147,31.28189 -24.55067,31.37029 -24.54022,31.36386 -24.59889,31.43458 -24.60049,31.50453 -24.6601,31.55516 -24.73705,31.59502 -24.79396,31.61729 -24.93723,31.60987 -24.93895,31.56022 -24.9535,31.50885 -24.96349))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Amphibia, Squamata, Testudines, Crocodylia, Gymnophiona)"
 ]
}

 The dataset's 175 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023214-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17450684
title: Spanish word2vec embeddings trained on OpenSubtitles Part 1

description: This dataset contains the subs2vec embeddings for Spanish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17450685
title: Spanish word2vec embeddings trained on OpenSubtitles Part 1

description: This dataset contains the subs2vec embeddings for Spanish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.15468/dl.q8ph7u
title: Occurrence Download

description: A dataset containing 1008 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phenotypic and Genotypic Insecticide Resistance Profiles of Anopheles Mosquitoes Across Ghana"
 ]
}

 The dataset includes 1008 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023216-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17459793
title: Spanish word2vec embeddings trained on OpenSubtitles Part 2

description: This dataset contains the subs2vec embeddings for Spanish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17459792
title: Spanish word2vec embeddings trained on OpenSubtitles Part 2

description: This dataset contains the subs2vec embeddings for Spanish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17468300
title: Spanish word2vec embeddings trained on OpenSubtitles Part 3

description: This dataset contains the subs2vec embeddings for Spanish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17468301
title: Spanish word2vec embeddings trained on OpenSubtitles Part 3

description: This dataset contains the subs2vec embeddings for Spanish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.34740/kaggle/dsv/13659587
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.pukhws
title: Occurrence Download

description: A dataset containing 25779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buxbaumia viridis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25779 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023221-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.33074.88003
title: Ratio Analysis of Renata Limited
DOI: 10.15468/dl.u7mhjv
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phenotypic and Genotypic Insecticide Resistance Profiles of Anopheles Mosquitoes Across Ghana"
 ]
}

 The dataset's 5 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023217-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17560138
title: Dataset for "City-Scale Intelligent Scheduling of EV Charging and V2G under Renewable Variability: A Hierarchical Multi-Objective Approach"
DOI: 10.5281/zenodo.17560139
title: Dataset for "City-Scale Intelligent Scheduling of EV Charging and V2G under Renewable Variability: A Hierarchical Multi-Objective Approach"
DOI: 10.15468/dl.jwdw4y
title: Occurrence Download

description: A dataset containing 2464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sri Lanka",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Columba torringtoniae",
 "Year 2010-2024"
 ]
}

 The dataset includes 2464 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023223-251025141854904/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.30572789
title: Files for scMoses tutorials

description: ScMoses is a 4th module of scParadise Python package developed for integration unimodal/multimodal scRNA-seq datasets (including partially overlapping).<br>
DOI: 10.6084/m9.figshare.30572789.v1
title: Files for scMoses tutorials

description: ScMoses is a 4th module of scParadise Python package developed for integration unimodal/multimodal scRNA-seq datasets (including partially overlapping).<br>
DOI: 10.6084/m9.figshare.30572789.v2
title: Files for scMoses tutorials

description: ScMoses is a 4th module of scParadise Python package developed for integration unimodal/multimodal scRNA-seq datasets (including partially overlapping).<br>
DOI: 10.15468/dl.9tzdq4
title: Occurrence Download

description: A dataset containing 2835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus marginata"
 ]
}

 The dataset includes 2835 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023225-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bacb7e
title: Occurrence Download

description: A dataset containing 2351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caldesia parnassifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2351 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023224-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4a8xn
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GbifRegion is Africa",
 "IucnRedListCategory is EN",
 "OccurrenceStatus is Present",
 "PublishingOrg is 7ce8aef0-9e92-11dc-8738-b8a03c50a862",
 "TypeStatus is Holotype"
 ]
}

 The dataset includes 57 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023227-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6hx3u
title: Occurrence Download

description: A dataset containing 15367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sri Lanka",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Loriculus beryllinus",
 "Year 2010-2024"
 ]
}

 The dataset includes 15367 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023228-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ev65h9
title: Occurrence Download

description: A dataset containing 256644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "CoordinateUncertaintyInMeters is less than 10000",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Machine Observation)"
 ]
}

 The dataset includes 256644 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023218-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.athqha
title: Occurrence Download

description: A dataset containing 1606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sri Lanka",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaenicophaeus pyrrhocephalus",
 "Year 2010-2024"
 ]
}

 The dataset includes 1606 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023229-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17560184
title: SI from Nonpolymeric Per- and Polyfluoroalkyl Substances (PFAS) and Side-Chain Fluorinated Polymers in Canadian Building Products

description: SI from Nonpolymeric Per- and Polyfluoroalkyl Substances (PFAS) and Side-Chain Fluorinated Polymers in Canadian Building Products
DOI: 10.5281/zenodo.17560185
title: SI from Nonpolymeric Per- and Polyfluoroalkyl Substances (PFAS) and Side-Chain Fluorinated Polymers in Canadian Building Products

description: SI from Nonpolymeric Per- and Polyfluoroalkyl Substances (PFAS) and Side-Chain Fluorinated Polymers in Canadian Building Products
DOI: 10.6084/m9.figshare.29949842
title: <b>Fast-Charging of Solid-State Batteries Enabled by Functional Additives Infused into High-Mass-Loading NMC Cathodes</b>

description: This collection includes the data used in the publication titled "Fast-Charging of Solid-State Batteries Enabled by Functional Additives Infused into High-Mass-Loading NMC Cathodes" and authored by Glomb, P.J., Mitchell, M. M., et al.
DOI: 10.6084/m9.figshare.29949842.v4
title: <b>Fast-Charging of Solid-State Batteries Enabled by Functional Additives Infused into High-Mass-Loading NMC Cathodes</b>

description: This collection includes the data used in the publication titled "Fast-Charging of Solid-State Batteries Enabled by Functional Additives Infused into High-Mass-Loading NMC Cathodes" and authored by Glomb, P.J., Mitchell, M. M., et al.
DOI: 10.6084/m9.figshare.29949842.v3
title: <b>Fast-Charging of Solid-State Batteries Enabled by Functional Additives Infused into High-Mass-Loading NMC Cathodes</b>

description: This collection includes the data used in the publication titled "Fast-Charging of Solid-State Batteries Enabled by Functional Additives Infused into High-Mass-Loading NMC Cathodes" and authored by Glomb, P.J., Mitchell, M. M., et al.
DOI: 10.15468/dl.t68wra
title: Occurrence Download

description: A dataset containing 1181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sri Lanka",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Otus thilohoffmanni",
 "Year 2010-2024"
 ]
}

 The dataset includes 1181 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023231-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wypzwu
title: Occurrence Download

description: A dataset containing 2391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sri Lanka",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Glaucidium castanotum",
 "Year 2010-2024"
 ]
}

 The dataset includes 2391 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023232-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.