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

description: A dataset containing 2287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catenulostroma",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2287 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004427-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77c8uz
title: Occurrence Download

description: A dataset containing 325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eremosis triflosculosa"
 ]
}

 The dataset includes 325 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004428-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b9u43
title: Occurrence Download

description: A dataset containing 315888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-1049.0",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "StateProvince is Cataluña"
 ]
}

 The dataset includes 315888 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004411-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msjj7x
title: Occurrence Download

description: A dataset containing 387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erigeron bonariensis"
 ]
}

 The dataset includes 387 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004430-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2648758
title: S22 | EPACONS | US EPA Consumer Product Suspect List

description: Suspects in supporting information from Phillips et al. 2018, DOI: 10.1021/acs.est.7b04781 - Suspect Screening Analysis of Chemicals in Consumer Products with GCxGC-TOF/MS matched with NIST. Dataset DOI: 10.5281/zenodo.2648758.
description: For more author information see original publication
DOI: 10.5281/zenodo.2648759
title: S22 | EPACONS | US EPA Consumer Product Suspect List

description: Suspects in supporting information from Phillips et al. 2018, DOI: 10.1021/acs.est.7b04781 - Suspect Screening Analysis of Chemicals in Consumer Products with GCxGC-TOF/MS matched with NIST. Dataset DOI: 10.5281/zenodo.2648758.
description: For more author information see original publication
DOI: 10.15468/dl.a92fv2
title: Occurrence Download

description: A dataset containing 50533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is New Zealand Marine Biosecurity Porthole records for managed marine pests",
 "Year 2010-2025"
 ]
}

 The dataset includes 50533 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004424-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfsn5n
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tabebuia fluviatilis"
 ]
}

 The dataset includes 288 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004433-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhd7r4
title: Occurrence Download

description: A dataset containing 2214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penidiella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2214 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004432-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y2f7w
title: Occurrence Download

description: A dataset containing 911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Allionia incarnata L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 911 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007179-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8b6hu
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Boechera fecunda (Rollins) Dorn)"
 ]
}

 The dataset includes 108 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007180-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17596253
title: Romanian word2vec embeddings trained on OpenSubtitles Part 2

description: This dataset contains the subs2vec embeddings for Romanian, 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.17596252
title: Romanian word2vec embeddings trained on OpenSubtitles Part 2

description: This dataset contains the subs2vec embeddings for Romanian, 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: 10.15128/r2x633f108t
title: Cathodoluminescence spectroscopy of triplet excitons in organic emitters [dataset]

description: Singlet and triplet excited-state energies are fundamental to a variety of processes and applications of organic semiconductors, such as singlet fission, triplet-triplet annihilation, and thermally activated delayed fluorescence. Measuring the triplet energy via traditional optical methods is often challenging though, due to spin selection rules governing these excited states following optical excitation. Here we examine cathodoluminescence (CL) spectroscopy in an electron microscope as a candidate to circumvent these challenges. Both singlet and triplet luminescence bands are observed in a single continuous wave CL spectrum, as the electron beam directly excites singlets alongside plasmons that decay into electron-hole pairs forming triplets. This process removes the need for intersystem crossing to generate triplet excitons in the emitter itself. It is estimated that on average 104 plasmon decay events are required to form a single exciton. The mechanism is in principle similar to electroluminescence as in OLED devices, with CL also allowing the target material to be investigated in its native state (or dilute in insulating media) without electrical biasing or adjacent transport layers. We propose that CL is potentially a powerful technique for organic semiconductor characterisation, although not yet capable of resolving triplet emission from more challenging emitters. Care must also be taken to minimise electron beam damage, since the luminescence from singlets is preferentially quenched, due to a longer diffusion length compared to triplets.
DOI: 10.15468/dl.sqd8az
title: Occurrence Download

description: A dataset containing 9614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 66.34,180 66.34,180 90,-180 90,-180 66.34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calanus finmarchicus",
 "Year 2000-2025"
 ]
}

 The dataset includes 9614 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031134-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17601675
title: D-PLACE dataset derived from Jenkins et al. 2013 'Global patterns of terrestrial vertebrate diversity and conservation'

description: Cite the source of the dataset as:




Jenkins CN, Pimm SL, Joppa LN. Global patterns of terrestrial vertebrate diversity and conservation. Proc Natl Acad Sci. 2013;110: E2602–E2610.
DOI: 10.5281/zenodo.17589353
title: Amplicon sequencing data 2022 - Agrostis capillaris

description: Amplicon sequencing data from the publication "Management effects on temporal and spatial variations in temperate grassland microbiomes"

Sampling year: 2022

Authors: Eva Tanneau1,2, Victor Flores-Núñez1, Graziella Reinhardt1, Janine Haueisen, Bjarke Madsen4, Signe Normand4, Kent Olsen3, Eva H. Stukenbrock1,2,*

Affiliations 

1 Environmental Genomics, Botanical Institute, Christian Albrecht University of Kiel, Germany

2 Max Planck Institute of Evolutionary Biology, Ploen, Germany

3 Department of Research and Collections, Natural History Museum Aarhus, Aarhus C, Denmark

4 Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Denmark

 

The metadata and scripts can be found in the GitHub repository at the following link: https://github.com/EvaT-0499/Acapillaris_microbiome
DOI: 10.5281/zenodo.17589352
title: Amplicon sequencing data 2022 - Agrostis capillaris

description: Amplicon sequencing data from the publication "Management effects on temporal and spatial variations in temperate grassland microbiomes"

Sampling year: 2022

Authors: Eva Tanneau1,2, Victor Flores-Núñez1, Graziella Reinhardt1, Janine Haueisen, Bjarke Madsen4, Signe Normand4, Kent Olsen3, Eva H. Stukenbrock1,2,*

Affiliations 

1 Environmental Genomics, Botanical Institute, Christian Albrecht University of Kiel, Germany

2 Max Planck Institute of Evolutionary Biology, Ploen, Germany

3 Department of Research and Collections, Natural History Museum Aarhus, Aarhus C, Denmark

4 Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Denmark

 

The metadata and scripts can be found in the GitHub repository at the following link: https://github.com/EvaT-0499/Acapillaris_microbiome
DOI: 10.15468/dl.7qp24n
title: Occurrence Download

description: A dataset containing 17529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.41_1, USA.34_1, USA.47_1, USA.43_1)",
 "TaxonKey is Anolis carolinensis"
 ]
}

 The dataset includes 17529 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc1kgf9r
title: CCDC 1443834: Experimental Crystal Structure Determination

description: Related Article: Florian Glöcklhofer, Andreas Petritz, Esther Karner, Michael J. Bojdys, Barbara Stadlober, Johannes Fröhlich, Miriam M. Unterlass|2017|J.Mater.Chem.C|5|2603|doi:10.1039/C7TC00143F
description: Related Article: Florian Glöcklhofer, Markus Lunzer, Berthold Stöger, Johannes Fröhlich|2016|Chem.-Eur.J.|22|5173|doi:10.1002/chem.201600004
description: Related Article: Zongrui Wang, Yang Hu, Yujie Xie, Fengxiang Qie, Junfeng Guo, Lei Zhang, Chunfeng Shi, Florian Glöcklhofer, Yonggang Zhen|2023|Sci.China.Chem.|66|2429|doi:10.1007/s40843-022-2364-3
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mdp91
title: CSD 2425263: Experimental Crystal Structure Determination

description: Related Article: Kazuki Inoue|2025|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mhb0h
title: CSD 2427796: Experimental Crystal Structure Determination

description: Related Article: Kazuki Inoue|2025|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10182355
title: D-PLACE dataset derived from Jenkins et al. 2013 'Global patterns of terrestrial vertebrate diversity and conservation'

description: Cite the source of the dataset as:




Jenkins CN, Pimm SL, Joppa LN. Global patterns of terrestrial vertebrate diversity and conservation. Proc Natl Acad Sci. 2013;110: E2602–E2610.
DOI: 10.15468/dl.5q3xek
title: Occurrence Download

description: A dataset containing 441245 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Psoralea velutina, Psoralea zeyheri, Clutia brevifolia, Clutia dregeana, Clutia polifolia, Clutia rubricaulis, Garrya grisea, Garrya laurifolia, Nevillea singularis, Eriospermum graminifolium, Anacampseros albissima, Leontice ewersmannii, Nototriche estipulata, Isoetes anatolica, Limonium apulum, Spergularia pycnantha, Habenaria tuerckheimii, Limonium carpetanicum, Limonium cythereum, Plantago australis, Spergularia nesophila, Gypsophila hispida, Isoetes savatieri, Brunia squalida, Chaenactis alpigena, Brownleea coerulea, Diospyros reinae, Calliandra pilocarpa, Rumex confertus, Vaccinium uliginosum, Vaccinium confertum, Limonium xerophilum, Limonium syracusanum, Limonium mateoi, Limonium portovecchiense, Limonium plurisquamatum, Limonium laxiusculum, Plantago patagonica, Plantago sempervirens, Colutea atlantica, Helicteres baruensis, Monsonia luederitziana, Isoetes tiguliana, Lactuca glareosa, Gilia tenuiflora, Limonium smithii, Psoralea rigidula, Psoralea implexa, Fagus orientalis, Brunia macrocephala, Persea barbujana, Psoralea pullata, Limonium chersonesum, Psoralea odoratissima, Clutia laxa, Clutia ovalis, Genoplesium morinum, Pontederia natans, Eriospermum cooperi, Eriospermum deserticola, Eriospermum dregei, Corynephorus fasciculatus, Malacocera biflora, Nototriche nana, Limonium connivens, Limonium cordovillense, Psoralea pinnata, Psoralea spicata, Plantago aristata, Limonium greuteri, Calliandra peninsularis, Gypsophila curvifolia, Gypsophila elegans, Gypsophila tuberculosa, Jungia polita, Limonium tamarindanum, Limonium comosum, Gypsophila briquetiana, Isoetes vanensis, Rumex baqubensis, Pulicaria armena, Chaenactis glabriuscula, Brownleea recurvata, Eriospermum pustulatum, Rumex ginii, Rumex hydrolapathum, Rumex balcanicus, Limonium vanense, Limonium malfatanicum, Limonium pavonianum, Annesorhiza elsiae, Plantago tunetana, Anacampseros quinaria, Psoralea azuroides, Psoralea brilliantissima, Lactuca georgica, Tolpis nemoralis, Spermacoce leptoloba, Scleria laxa, Gypsophila dumanii)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 441245 records from 1519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031094-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17595212
title: English word2vec embeddings trained on OpenSubtitles Part 4

description: This dataset contains the subs2vec embeddings for [Language Name], 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)



sha256-hashes:



en_300_1_cbow_wxd.csv.bz2 bb95d656d89d146d702d3c48d0661834c65d7e26b7fc2cc255b45490a22ad36d

en_300_1_sg_wxd.csv.bz2 75a771cbcb5098cda48fcb8a0effae9f4612cd692b5c001fea0afbd36686fdd3 

en_300_2_cbow_wxd.csv.bz2 0277f15afed8169677dfd9667644f98836f77792fac3aab8f725773034982915  

en_300_2_sg_wxd.csv.bz2  d103ca78cd49d68a51515dbdf91746be8c471918865d1508f17cb892060b86b4 

en_300_3_cbow_wxd.csv.bz2 fdbfbb039e3de5c22ba9ed29fdd5467029b59042cc74149c97cb60040fffaa68
DOI: 10.5281/zenodo.17595213
title: English word2vec embeddings trained on OpenSubtitles Part 4

description: This dataset contains the subs2vec embeddings for [Language Name], 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)



sha256-hashes:



en_300_1_cbow_wxd.csv.bz2 bb95d656d89d146d702d3c48d0661834c65d7e26b7fc2cc255b45490a22ad36d

en_300_1_sg_wxd.csv.bz2 75a771cbcb5098cda48fcb8a0effae9f4612cd692b5c001fea0afbd36686fdd3 

en_300_2_cbow_wxd.csv.bz2 0277f15afed8169677dfd9667644f98836f77792fac3aab8f725773034982915  

en_300_2_sg_wxd.csv.bz2  d103ca78cd49d68a51515dbdf91746be8c471918865d1508f17cb892060b86b4 

en_300_3_cbow_wxd.csv.bz2 fdbfbb039e3de5c22ba9ed29fdd5467029b59042cc74149c97cb60040fffaa68
DOI: 10.15468/dl.2mxqa3
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hylodes magalhaesi"
 ]
}

 The dataset includes 46 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031138-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17586413
title: Polish word2vec embeddings trained on OpenSubtitles Part 3

description: This dataset contains the subs2vec embeddings for Polish, 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)