cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fh8v43
title: Occurrence Download

description: A dataset containing 6729 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 6729 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211973-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112041417
title: Cuneiform Tablet 1913.14.1720, Spurlock 1913.14.1720

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1720; CDLI P421571 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8.5/2.5) ❧ [Physical Object Note:] 3.8 x 2.7 x 1.5 cm (15 g)
DOI: 10.15468/dl.w7hq9b
title: Occurrence Download

description: A dataset containing 442103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sternula antillarum R.Lesson, 1847, Sterna antillarum (R.Lesson, 1847))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 442103 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005378-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2frhwg
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agalinis auriculata (Michx.) S.F.Blake"
 ]
}

 The dataset includes 858 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003872-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112041336
title: Cuneiform Tablet 1913.14.1720, Spurlock 1913.14.1720

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1720; CDLI P421571 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8.5/2.5) ❧ [Physical Object Note:] 3.8 x 2.7 x 1.5 cm (15 g)
DOI: 10.15468/dl.p99d7v
title: Occurrence Download

description: A dataset containing 876337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus acris L."
 ]
}

 The dataset includes 876337 records from 2339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211930-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18512825
title: Blockchain with proof of quantum work

description: This repository includes sampled Quantum Processsing Unit (QPU) data for each of the four generally available solvers used in our Physical Review A publication (and preprint arXiv:2503.14462). 

Each file is named by a generally-available solver, and the statistic type (mean or variance). If hyperplanes are projected orthogonal to J the file name contains 'orthogonal-to-J'.The file contains data for 20 J-realizations (by row) and 1024 random hyperplane (by column). A witness is defined as a weighted (by hyperplane components) sum of sampling statistics, see article for details. Each element in the file is a witness mean or variance estimated from 32 independent parallelized programmings (each differing in spin-reversal transform and embedding automorphism). This data is used in the statistical analyses of Figures 5, 13, 14, 15, 16.https://github.com/dwave-examples/quantum-blockchain/releases/tag/PRA demonstrates the hashing and blockchain methods used in our Physical Review paper demonstration adapted to the latest generally available QPUs. The code also includes the methods necessary for emulating the creation and verification of quantum hashes with and without Leap access (including by use of data matching that of this repository). This codebase is sufficient to reproduce paper statstical analyses and blockchain realizations. Methods for spin-glass generation, embedding and energy-time rescaling are also included.
DOI: 10.5281/zenodo.18512824
title: Blockchain with proof of quantum work

description: This repository includes sampled Quantum Processsing Unit (QPU) data for each of the four generally available solvers used in our Physical Review A publication (and preprint arXiv:2503.14462). 

Each file is named by a generally-available solver, and the statistic type (mean or variance). If hyperplanes are projected orthogonal to J the file name contains 'orthogonal-to-J'.The file contains data for 20 J-realizations (by row) and 1024 random hyperplane (by column). A witness is defined as a weighted (by hyperplane components) sum of sampling statistics, see article for details. Each element in the file is a witness mean or variance estimated from 32 independent parallelized programmings (each differing in spin-reversal transform and embedding automorphism). This data is used in the statistical analyses of Figures 5, 13, 14, 15, 16.https://github.com/dwave-examples/quantum-blockchain/releases/tag/PRA demonstrates the hashing and blockchain methods used in our Physical Review paper demonstration adapted to the latest generally available QPUs. The code also includes the methods necessary for emulating the creation and verification of quantum hashes with and without Leap access (including by use of data matching that of this repository). This codebase is sufficient to reproduce paper statstical analyses and blockchain realizations. Methods for spin-glass generation, embedding and energy-time rescaling are also included.
DOI: 10.5281/zenodo.18556729
title: Gold standard, multi-genre dataset for named entity recognition and linking

description: The dataset contains 276 multi-genre texts with marked named entities, which are linked to corresponding Wikipedia articles if available. Each entity was manually verified by at least three people, making this a high-quality gold standard for evaluating named entity recognition and linking algorithms. Entities are annotated in-text using the syntax {{mention content|entity class|Wikipedia target}}.
DOI: 10.5281/zenodo.18556728
title: Gold standard, multi-genre dataset for named entity recognition and linking

description: The dataset contains 276 multi-genre texts with marked named entities, which are linked to corresponding Wikipedia articles if available. Each entity was manually verified by at least three people, making this a high-quality gold standard for evaluating named entity recognition and linking algorithms. Entities are annotated in-text using the syntax {{mention content|entity class|Wikipedia target}}.
DOI: 10.15468/dl.d44ey7
title: Occurrence Download

description: A dataset containing 18973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (buggabugga, bughunt2018, bugladysuzanne, bugzilla, bumblebeebob, bumblepuppy, bumblerhi, bunsen66, burdgurl, Burls, busybee818, bvanderm, bvoss, bwcaishome, bwhiteley, bwray, C. Beatty, C. Wassmansdorf, C. Wilson, R. Jones, C.A. Lacroix, Kevin Burgess, John Gerrath, c_allen, CAB, Caden Carlson, caf50, caileyryan, Cailin O'Connor, Caitlin Muller, Caitlin Welch, Cal, calann, Caleb, Caleb Catto, Caleb Helsel, Caleb Knerr, Caleb Scholtens, Caleb Shingleton, Caleb Strand, calebsteege, Calends of April, Calvin Andries, cam1213, camchev, Cameron Bodine, Cameron Chevalier, Cameron Eckert, Cameron Hartley, camerondeckert, camerongatto, cameronlaird, Camille Boucher)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 18973 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003073-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzaumu
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ESP.16.1_1, ESP.17_1, ESP.5.2_1, ESP.3_1, ESP.5.3_1, ESP.16.3_1)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (0363cbd4-f666-455e-8e86-0bbddcf51950, 7b4f2f30-a456-11d9-8049-b8a03c50a862, 730cd32c-627f-44a8-9d93-fcfb23ade969, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 4c91866b-3c2e-4568-aca0-3ab0a1c1a45e, 823818f6-0696-4e29-bc4c-b6f3817535a7, e8fb330c-5750-4698-afba-5438618af521)",
 "TaxonKey is one of (Achillea filipendulina, Agrostemma githago)"
 ]
}

 The dataset includes 177 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003075-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17800615
title: Supplementary Material for "Efficient Repair of Confidentiality Violations in Software Architectures"

description: Supplementary material for the paper "Efficient Repair of Confidentiality Violations in Software Architectures". For more information, please see the README.md
DOI: 10.5281/zenodo.17800614
title: Supplementary Material for "Efficient Repair of Confidentiality Violations in Software Architectures"

description: Supplementary material for the paper "Efficient Repair of Confidentiality Violations in Software Architectures". For more information, please see the README.md
DOI: 10.15468/dl.cq46jw
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Guilandina ciliata"
 ]
}

 The dataset includes 107 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003076-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18517721
title: Base de datos proyecto 2021 Habilidades Metacognitivas 2026

description: La base de datos se utilizó para analizar el impacto de programas formativos desarrollados por profesorado de las dos universidades participantes en la investigación para mejorar en el alumnado el desarrollo de las Habilidades Metacognitivas de una muestra de alumnos universitarios lo suficientemente representativa.

La muestra estaba formada por 822 sujetos de las dos universidades públicas de la ciudad de Valencia:  Universidad de Valencia y Universidad Politécnica de Valencia.

El trabajo forma parte del proyecto “La competencia aprender a aprender en la universidad, su diseño y desarrollo curricular. Un modelo de intervención y su aplicación en los grados universitarios”. PID2021-123523NB-I00, financiado por el MCIN/AEI /10.13039/501100011033 y por FEDER Una manera de hacer Europa.

Estos alumnos pertenecían, en la Universidad de Valencia, a las titulaciones de grado en Pedagogía y Educación Social de la Facultad de Filosofía y Ciencias de la Educación y del grado de Medicina de la Facultad de Medicina. Así mismo, en la Universidad Politécnica de Valencia, a las titulaciones de grado en Gestión y Administración Pública, de la Facultad de Administración y Dirección de Empresas, de los grados de Ciencia y Tecnología de los Alimentos y de Ingeniería Agronómica, de la Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural y del grado en Conservación y Restauración de Bienes Culturales de la Facultad de Bellas Artes.

Mediante la Escala de Evaluación de Habilidades Metacognitivas, diseñada por el equipo investigador, se han recopilado datos de pretest y postest de estos alumnos, que se han guardado en archivos-matrices con formato de SPSS.
DOI: 10.5281/zenodo.18517720
title: Base de datos proyecto 2021 Habilidades Metacognitivas 2026

description: La base de datos se utilizó para analizar el impacto de programas formativos desarrollados por profesorado de las dos universidades participantes en la investigación para mejorar en el alumnado el desarrollo de las Habilidades Metacognitivas de una muestra de alumnos universitarios lo suficientemente representativa.

La muestra estaba formada por 822 sujetos de las dos universidades públicas de la ciudad de Valencia:  Universidad de Valencia y Universidad Politécnica de Valencia.

El trabajo forma parte del proyecto “La competencia aprender a aprender en la universidad, su diseño y desarrollo curricular. Un modelo de intervención y su aplicación en los grados universitarios”. PID2021-123523NB-I00, financiado por el MCIN/AEI /10.13039/501100011033 y por FEDER Una manera de hacer Europa.

Estos alumnos pertenecían, en la Universidad de Valencia, a las titulaciones de grado en Pedagogía y Educación Social de la Facultad de Filosofía y Ciencias de la Educación y del grado de Medicina de la Facultad de Medicina. Así mismo, en la Universidad Politécnica de Valencia, a las titulaciones de grado en Gestión y Administración Pública, de la Facultad de Administración y Dirección de Empresas, de los grados de Ciencia y Tecnología de los Alimentos y de Ingeniería Agronómica, de la Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural y del grado en Conservación y Restauración de Bienes Culturales de la Facultad de Bellas Artes.

Mediante la Escala de Evaluación de Habilidades Metacognitivas, diseñada por el equipo investigador, se han recopilado datos de pretest y postest de estos alumnos, que se han guardado en archivos-matrices con formato de SPSS.
DOI: 10.5281/zenodo.18554919
title: Humboldt - AI4G Bioacoustics Dataset
DOI: 10.15468/dl.73xs46
title: Occurrence Download

description: A dataset containing 3233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Guzmania lingulata"
 ]
}

 The dataset includes 3233 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003077-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18556508
title: Convective Heat Transfer through LNG Ship's Ballast Tanks

description: Data of seawater, seaair and dryair, Nusselt, Grashoff and Rayleigh numbers expected in ship's ballast tanks are presented. Properties of Sea-Air for heat transfer studies is presented.
DOI: 10.5281/zenodo.18556509
title: Convective Heat Transfer through LNG Ship's Ballast Tanks

description: Data of seawater, seaair and dryair, Nusselt, Grashoff and Rayleigh numbers expected in ship's ballast tanks are presented. Properties of Sea-Air for heat transfer studies is presented.
DOI: 10.5281/zenodo.18055608
title: Simulated ground motion dataset in the Azores plateau, Portugal, on median soil.

description: Simulated Ground Motion Dataset for the Azores PlateauThis repository contains a simulated ground motion dataset for the Azores Plateau (Portugal), for median soil conditions. The dataset is generated using a stochastic source-based approach with randomized input parameters to capture aleatory uncertainty. Validation confirms that the dataset accurately represents real ground motion variability and inter-period correlations. This dataset supports seismic hazard analysis and risk assessment in the region.
DOI: 10.5281/zenodo.16760903
title: Simulated ground motion dataset in the Azores plateau, Portugal, on median soil.

description: Simulated Ground Motion Dataset for the Azores PlateauThis repository contains a simulated ground motion dataset for the Azores Plateau (Portugal), for median soil conditions. The dataset is generated using a stochastic source-based approach with randomized input parameters to capture aleatory uncertainty. Validation confirms that the dataset accurately represents real ground motion variability and inter-period correlations. This dataset supports seismic hazard analysis and risk assessment in the region.
DOI: 10.15468/dl.7bk6pu
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neogoniolithon spectabile"
 ]
}

 The dataset includes 144 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003079-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hhkhh
title: Occurrence Download

description: A dataset containing 212181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.97188 45.26445,6.96279 45.23303,6.95371 45.20161,6.94462 45.17016,6.93554 45.1387,6.92645 45.10722,6.91737 45.07572,6.90829 45.0442,6.8992 45.01267,7.00536 44.99739,7.11152 44.9821,7.21768 44.96681,7.32384 44.95151,7.43 44.93621,7.53616 44.92091,7.64232 44.9056,7.74848 44.89029,7.75757 44.92189,7.76665 44.95347,7.77573 44.98504,7.78482 45.01659,7.7939 45.04812,7.80299 45.07963,7.81207 45.11113,7.82116 45.14261,7.715 45.15785,7.60884 45.17309,7.50268 45.18833,7.39652 45.20356,7.29036 45.21879,7.1842 45.23401,7.07804 45.24923,6.97188 45.26445))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 212181 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003042-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.humj5s
title: Occurrence Download

description: A dataset containing 2056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aechmea drakeana, Bouteloua disticha, Bunchosia phaeocarpa, Burmeistera sodiroana, Ceroxylon amazonicum, Corytoplectus cutucuensis, Cynophalla ecuadorica, Macrocarpaea bubops, Nautilocalyx vinosus, Rhodospatha parvifolia, Shuaria ecuadorica, Symbolanthus jasonii)"
 ]
}

 The dataset includes 2056 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003078-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759850
title: Simulated ground motion dataset in the Azores plateau, Portugal, on bedrock.

description: Simulated Ground Motion Dataset for the Azores PlateauThis repository contains a simulated ground motion dataset for the Azores Plateau (Portugal), for bedrock conditions. The dataset is generated using a stochastic source-based approach with randomized input parameters to capture aleatory uncertainty. Validation confirms that the dataset accurately represents real ground motion variability and inter-period correlations. This dataset supports seismic hazard analysis and risk assessment in the region.
DOI: 10.5281/zenodo.18055384
title: Simulated ground motion dataset in the Azores plateau, Portugal, on bedrock.

description: Simulated Ground Motion Dataset for the Azores PlateauThis repository contains a simulated ground motion dataset for the Azores Plateau (Portugal), for bedrock conditions. The dataset is generated using a stochastic source-based approach with randomized input parameters to capture aleatory uncertainty. Validation confirms that the dataset accurately represents real ground motion variability and inter-period correlations. This dataset supports seismic hazard analysis and risk assessment in the region.
DOI: 10.5281/zenodo.18379672
title: Climate TRACE Emissions Inventory

description: Climate TRACE is a non-profit coalition of organizations building a timely, open, and accessible inventory of exactly where greenhouse gas emissions are coming from. Climate TRACE estimates greenhouse gas (GHG) and air pollutant emissions for over 2.7 million sources (from over 744 million assets), and every single country globally.

Each download package includes CSVs of:



Annual country-level emissions by sub-sector and by gas beginning in 2015

Monthly source-level emissions by sub-sector and gas beginning in 2021 and confidence

Emissions source ownership where and when available.


All Climate TRACE data are free and publicly available under a CC-BY 4.0 license to enable action and accountability at the massive scale necessary for global progress. Beginning in March 2025, Climate TRACE is releasing updated data with a 60-day lag during the final week of each month. All previous versions of the Climate TRACE asset- and country-level database will be uploaded to this page.

With the addition of November 2025 data, the Climate TRACE database is now updated to version 5.3.0.

Version 5.2.0 (released December 18, 2025) will be available here. Note: V5.0.0 release launched at COP30 and now includes data on potential options for reducing emissions at every asset in the Climate TRACE database.

V5.2.0 expands asset coverage to include 245 additional power plants (globally) and 2,287 additional cattle operations (all in Japan). It includes non-greenhouse gas emissions for petrochemical steam cracking facilities in Asia Pacific and the Middle East. The waste sector has updated modeling for its landfill emissions: emissions are now modeled natively for each month, where previously, annual estimates were disaggregated into monthly estimates. The release also includes data fixes within transportation and waste sectors.

A detailed description of data updates is available in our changelog here.

We recommend getting familiar with how Climate TRACE data are created and structured by reviewing our FAQs, resources, and guidance:



The Climate TRACE FAQs page is an especially useful resource to quickly learn how we develop the emissions inventory, what data are contained in the inventory, details on units of measurement and coverage, and much more.

The Sectors page summarizes methodological details on dozens of sub-sectors. The data are licensed under the Creative Commons Attribution 4.0 International License; more details can be found on our terms of use page.

Detailed guidance on the data schema, licensing, and citations can be found in the data guide, as well as in the “detailed-data-schema” in the download packages.


If you have any questions, please reach out to us via our contact page.
DOI: 10.15468/dl.arkz3w
title: Occurrence Download

description: A dataset containing 1299 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 Atriplex argentea"
 ]
}

 The dataset includes 1299 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003082-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyytcs
title: Occurrence Download

description: A dataset containing 789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecilium alni",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "DatasetKey is Artportalen"
 ]
}

 The dataset includes 789 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003083-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.