cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5yrh32
title: Occurrence Download

description: A dataset containing 8207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-113.535868 51.365197, -113.604119 51.408719, -113.664525 51.408719, -113.596238 51.365197, -113.535868 51.365197))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8207 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049409-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3217/75ykk-vmd88
title: Chaos in Granular Matter consisting of Non-Convex Particles, Dataset

description: This repository serves as a supplement to the article "Chaos in Granular Matter consisting of Non-Convex Particles" by Droschl et al. (2025). (submitted 2025-12-15, Front. Chem. Eng.)
DOI: 10.3217/sq3z1-0qa93
title: Chaos in Granular Matter consisting of Non-Convex Particles, Dataset

description: This repository serves as a supplement to the article "Chaos in Granular Matter consisting of Non-Convex Particles" by Droschl et al. (2025). (submitted 2025-12-15, Front. Chem. Eng.)
DOI: 10.15468/dl.zcsvx4
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-74.985 -8.223913, -75.055989 -8.229473, -75.125236 -8.246015, -75.191042 -8.273134000000001, -75.251789 -8.310162999999999, -75.305986 -8.356194, -75.352299 -8.410095999999999, -75.38958599999999 -8.470545, -75.416927 -8.536054999999999, -75.433645 -8.605016000000001, -75.439322 -8.67573, -75.433813 -8.746456, -75.41724600000001 -8.815454000000001, -75.39002600000001 -8.881023000000001, -75.35281500000001 -8.941546000000001, -75.306529 -8.99553, -75.252306 -9.041643000000001, -75.191481 -9.078747, -75.125556 -9.105924, -75.056157 -9.122503999999999, -74.985 -9.128076, -74.913843 -9.122503999999999, -74.844444 -9.105924, -74.778519 -9.078747, -74.71769399999999 -9.041643000000001, -74.663471 -8.99553, -74.61718500000001 -8.941546000000001, -74.57997400000001 -8.881023000000001, -74.55275399999999 -8.815454000000001, -74.536187 -8.746456, -74.53067799999999 -8.67573, -74.536355 -8.605016000000001, -74.553073 -8.536054999999999, -74.580414 -8.470545, -74.617701 -8.410095999999999, -74.66401399999999 -8.356194, -74.718211 -8.310162999999999, -74.778958 -8.273134000000001, -74.844764 -8.246015, -74.914011 -8.229473, -74.985 -8.223913))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 96 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17912043
title: The Commercial Potential of Science

description:  



[Updated! The latest version now includes commercial and scientific potential predictions for over 30 million scientific articles published worldwide.]

 

This dataset introduces a novel index designed to predict the commercial potential of scientific articles. The index captures the probability that an article will be used by firms for the development of marketable products or processes. In addition to commercial potential, the dataset also introduces an index to predict scientific potential—the likelihood that an article will be relevant for the advance of science, regardless its commercial application. 

The indices are crucial for researchers focused on understanding 1) the production of science with commercial potential and 2) the pathway from academic research to market innovations and the factors that influence the commercial viability of scientific discoveries.

 

Citation Information: If you use this dataset, please cite the article: “Masclans, R., Hasan, S., & Cohen, W. M. (2025). Measuring the Commercial Potential of Science. Strategic Management Journal, 46(9), 2199-2236.”

 

Components of the Dataset: The dataset encompasses indices for over 30 million articles that meet the following criteria:



Publication year: 2000 to 2020

Published under universities worldwide

Articles in the applied and natural sciences and engineering fields


Data is delivered via a single csv file. Each row contains information for a scientific article, with the following variables:



‘doi’: Digital Object Identifier—unique article identifier that can be used to match to other data sources, such as OpenAlex, Dimensions, or Web of Science.

‘compot’: commercial potential index.

‘scipot‘: scientific potential index.


To develop the commercial potential index, we employed SciBert (Beltagy et al., 2019), a Large Language Model for scientific understanding. We fine tune SciBert with deep neural networks to classify scientific articles based on their potential for commercial application. We trained 20 predictive models, one per year, using the text of an academic article’s abstract to generate ex-ante, out-of-sample, and out-of-training-time-period predictions of any given scientific article’s commercial potential.

Following the same methodology, we compute the scientific potential index.

 

Licensing and Contact Information: The dataset and its components are distributed under a Creative Commons Attribution Non-Commercial license.

 

Acknowledgments: We thank The Technology Opportunity Lab at Duke University and the Kauffman Foundation for funding the creation of this dataset.
DOI: 10.5281/zenodo.10815143
title: The Commercial Potential of Science

description:  



[Updated! The latest version now includes commercial and scientific potential predictions for over 30 million scientific articles published worldwide.]

 

This dataset introduces a novel index designed to predict the commercial potential of scientific articles. The index captures the probability that an article will be used by firms for the development of marketable products or processes. In addition to commercial potential, the dataset also introduces an index to predict scientific potential—the likelihood that an article will be relevant for the advance of science, regardless its commercial application. 

The indices are crucial for researchers focused on understanding 1) the production of science with commercial potential and 2) the pathway from academic research to market innovations and the factors that influence the commercial viability of scientific discoveries.

 

Citation Information: If you use this dataset, please cite the article: “Masclans, R., Hasan, S., & Cohen, W. M. (2025). Measuring the Commercial Potential of Science. Strategic Management Journal, 46(9), 2199-2236.”

 

Components of the Dataset: The dataset encompasses indices for over 30 million articles that meet the following criteria:



Publication year: 2000 to 2020

Published under universities worldwide

Articles in the applied and natural sciences and engineering fields


Data is delivered via a single csv file. Each row contains information for a scientific article, with the following variables:



‘doi’: Digital Object Identifier—unique article identifier that can be used to match to other data sources, such as OpenAlex, Dimensions, or Web of Science.

‘compot’: commercial potential index.

‘scipot‘: scientific potential index.


To develop the commercial potential index, we employed SciBert (Beltagy et al., 2019), a Large Language Model for scientific understanding. We fine tune SciBert with deep neural networks to classify scientific articles based on their potential for commercial application. We trained 20 predictive models, one per year, using the text of an academic article’s abstract to generate ex-ante, out-of-sample, and out-of-training-time-period predictions of any given scientific article’s commercial potential.

Following the same methodology, we compute the scientific potential index.

 

Licensing and Contact Information: The dataset and its components are distributed under a Creative Commons Attribution Non-Commercial license.

 

Acknowledgments: We thank The Technology Opportunity Lab at Duke University and the Kauffman Foundation for funding the creation of this dataset.
DOI: 10.5281/zenodo.17902939
title: ThermoUhL molecular dynamics

description: The molecular dynamics simulations XTC trajectories are raw, available as Gromacs produced them, ie, no PCB correction or frame alignment was done. The PDB correspondent files are also available.
DOI: 10.5281/zenodo.17902938
title: ThermoUhL molecular dynamics

description: The molecular dynamics simulations XTC trajectories are raw, available as Gromacs produced them, ie, no PCB correction or frame alignment was done. The PDB correspondent files are also available.
DOI: 10.15468/dl.5tnrzc
title: Occurrence Download

description: A dataset containing 33274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Geometry POLYGON((-9.22888 47.83947,-0.82861 47.83947,-0.82861 53.71824,-9.22888 53.71824,-9.22888 47.83947))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Laminariaceae",
 "Year 2005-2015"
 ]
}

 The dataset includes 33274 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049411-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssxb72
title: Occurrence Download

description: A dataset containing 4606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinolophus borneensis, Rhinolophus chiewkweeae, Rhinolophus coelophyllus, Rhinolophus convexus, Rhinolophus ferrumequinum, Rhinolophus huananus, Rhinolophus lepidus, Rhinolophus luctus, Rhinolophus macrotis, Rhinolophus malayanus, Rhinolophus marshalli, Rhinolophus microglobosus, Rhinolophus osgoodi, Rhinolophus paradoxolophus, Rhinolophus pearsonii, Rhinolophus pusillus, Rhinolophus rex, Rhinolophus robinsoni, Rhinolophus rouxii, Rhinolophus schnitzleri, Rhinolophus sedulus, Rhinolophus shameli, Rhinolophus shortridgei, Rhinolophus siamensis, Rhinolophus sinicus, Rhinolophus stheno, Rhinolophus subbadius, Rhinolophus thailandensis, Rhinolophus thomasi, Rhinolophus trifoliatus, Rhinolophus xinanzhongguoensis, Rhinolophus yunanensis, Rhinopithecus avunculus, Rhinopithecus bieti, Rhinopithecus brelichi, Rhinopithecus roxellana, Rhinopithecus strykeri, Rhinopoma hardwickii, Rhinosciurus laticaudatus, Rhizomys pruinosus, Rhizomys sinensis, Rhizomys sumatrensis, Rousettus amplexicaudatus, Rousettus leschenaultii, Rusa unicolor, Saccolaimus saccolaimus, Salpingotus kozlovi, Saxatilomys paulinae, Scapanulus oweni, Scaptochirus moschatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 4606 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049412-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/t3juik
title: PAN-00104903 - coin/coin-related, Constantinus I (306-337), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104903&lt;/p&gt;
description: Modified: 2025-05-06T16:33:05+02:00
DOI: 10.5281/zenodo.17912157
title: Screening for Vicia faba donors of low vicine/convicine trait

description: A set of Vicia faba genotypes were screened for presence of vc- allele which is a donor of low vicine content.
DOI: 10.5281/zenodo.17912158
title: Screening for Vicia faba donors of low vicine/convicine trait

description: A set of Vicia faba genotypes were screened for presence of vc- allele which is a donor of low vicine content.
DOI: 10.15468/dl.88kvm3
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-113.574641 51.278407, -113.642555 51.321838, -113.702805 51.321838, -113.634854 51.278407, -113.574641 51.278407))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 255 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049413-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-elasmrci
title: Aboueut Beatrice Judith Carine ADOUS, NGuessan Emmanuel KOUAME, Nicolas Roland OWO, Awa NDIAYE, Philippe BEAREZ, Fabien RIEUVILLENEUVE, Segun Olayinka OLADIPO, Lotanna Micah NNEJI, Abouo Beatrice ADEPO-GOURENE, Jean-Dominique DURAND

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.6neh8w
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-74.958 -8.192913000000001, -75.02898399999999 -8.198472000000001, -75.098225 -8.215014, -75.16402600000001 -8.242133000000001, -75.224768 -8.279163, -75.278961 -8.325194, -75.32526900000001 -8.379097, -75.362554 -8.439546, -75.389892 -8.505056, -75.40660800000001 -8.574017, -75.412285 -8.644731, -75.40677599999999 -8.715458, -75.39021099999999 -8.784454999999999, -75.36299200000001 -8.850023999999999, -75.325784 -8.910546999999999, -75.27950199999999 -8.964530999999999, -75.225283 -9.010643999999999, -75.164464 -9.047746999999999, -75.098544 -9.074925, -75.029151 -9.091504, -74.958 -9.097077000000001, -74.886849 -9.091504, -74.81745600000001 -9.074925, -74.751536 -9.047746999999999, -74.69071700000001 -9.010643999999999, -74.636498 -8.964530999999999, -74.590216 -8.910546999999999, -74.55300800000001 -8.850023999999999, -74.525789 -8.784454999999999, -74.509224 -8.715458, -74.503715 -8.644731, -74.50939200000001 -8.574017, -74.52610799999999 -8.505056, -74.55344599999999 -8.439546, -74.59073100000001 -8.379097, -74.637039 -8.325194, -74.691232 -8.279163, -74.751974 -8.242133000000001, -74.817775 -8.215014, -74.887016 -8.198472000000001, -74.958 -8.192913000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 105 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwzf3s
title: Occurrence Download

description: A dataset containing 239821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Aquila chrysaetos)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 239821 records from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049380-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8ai93
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysococcyx lucidus (Gmelin, 1788)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((174.11 -37.24,174.11 -36.37,175.83 -36.37,175.83 -37.24,174.11 -37.24))"
 ]
}

 The dataset includes 189 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008255-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjae6p
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tivela byronensis (Gray, 1838)"
 ]
}

 The dataset includes 190 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054665-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7270/q2m61p9z
title: BindingDB Entry 9227: 5-hydroxytryptamine receptor 7 activity modulators and their method of use

description: Small molecule binding data for protein 5-hydroxytryptamine receptor 2A, Uniprot P28223
DOI: 10.15468/dl.mfuual
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megachile chilensis Spinola, 1851"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008256-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nrtfz
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alouatta pigra Lawrence, 1933"
 ]
}

 The dataset includes 652 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054668-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny0tdu
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Escallonia resinosa (Ruiz & Pav.) Pers."
 ]
}

 The dataset includes 310 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008256-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh60yb
title: Occurrence Download

description: A dataset containing 76867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON((-97.888183 20.560795,-97.888183 20.704738,-98.031005 20.910134,-98.195800 20.981956,-98.228759 21.094750,-98.349609 21.289374,-98.459472 21.422389,-98.690185 21.412162,-98.756103 21.248422,-98.789062 21.135745,-98.679199 20.981956,-98.525390 20.899871,-98.558349 20.673905,-98.657226 20.581367,-98.679199 20.468189,-98.701171 20.303417,-98.756103 19.983673,-98.800048 19.870059,-98.4375 19.828725,-98.349609 19.983673,-98.206787 20.169411,-98.009033 20.334325,-97.932128 20.457896,-97.888183 20.560795))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 76867 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054676-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wtvlj
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coleoptera identified from the Crossness Sewage Works site, Bexley, London"
 ]
}

 The dataset includes 103 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008256-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhwgp3
title: Occurrence Download

description: A dataset listing the 3996528 species recorded in GBIF matching the query:
{ }

 The dataset's 3996528 records were derived from 64225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039130-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.te5bae
title: Occurrence Download

description: A dataset containing 46435 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Carpodectes nitidus Salvin, 1865",
 "TaxonKey is Junco vulcani (Boucard, 1878)",
 "TaxonKey is Eupherusa nigriventris Lawrence, 1868",
 "TaxonKey is Dysithamnus striaticeps Lawrence, 1865",
 "TaxonKey is Chlorostilbon auriceps (Gould, 1852)",
 "TaxonKey is Thripadectes rufobrunneus (Lawrence, 1865)",
 "TaxonKey is Lampornis hemileucus (Salvin, 1865)",
 "TaxonKey is Zeledonia coronata Ridgway, 1889",
 "TaxonKey is Cyanolyca pumilo (Strickland, 1849)",
 "TaxonKey is Elvira chionura (Gould, 1851)",
 "TaxonKey is Lampornis sybillae (Salvin & Godman, 1892)",
 "TaxonKey is Habia atrimaxillaris (Dwight & Griscom, 1924)",
 "TaxonKey is Thryorchilus browni (Bangs, 1902)",
 "TaxonKey is Arremon crassirostris (Cassin, 1865)",
 "TaxonKey is Cotinga amabilis Gould, 1857",
 "TaxonKey is Cotinga ridgwayi Ridgway, 1887",
 "TaxonKey is Cantorchilus zeledoni (Ridgway, 1878)",
 "TaxonKey is Vireo bairdi Ridgway, 1885",
 "TaxonKey is Dendrortyx macroura (Jardine & Selby, 1828)",
 "TaxonKey is Campylorhynchus chiapensis Salvin & Godman, 1891",
 "TaxonKey is Amazilia boucardi (Mulsant, 1877)",
 "TaxonKey is Atthis ellioti Ridgway, 1878"
 ]
}

 The dataset includes 46435 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008256-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpkvmw
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cochranella punctulata Ruiz-Carranza & Lynch, 1995",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054680-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aabtpe
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Maytenus senegalensis (Lam.) Exell"
 ]
}

 The dataset includes 258 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026713-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.