cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15879716
title: WRF-Chem output- concentrations for the 4 simulations: reference, urbanization, extension of agricultural areas and more urban parks

description: We use the WRF-Chem air-quality model with an urban canopy scheme to investigate how land use (urban, agriculture, parks) affects the urban climate and chemical processes (dry deposition, biogenic emissions), resulting in changes in air quality for scenarios proposed by the Urban Master Plan of the Metropolitan Area of Barcelona. We selected a heatwave period, 4th-7th July 2015, with maximum temperatures reaching 40 °C in the interior of the AMB and 35 °C on the coast. Here we provide averaged model output for the heatwave period for the different pollutants, surface temperature, wind speed, PBLH, deposition, and biogenic emissions under different urban scenarios: reference (REF), urbanization (URB), extension of agriculture (AGR), and increase in urban parks (PARK).The results for a period before the heatwave (1-3 July 2015), with temperatures 3-4 degrees lower than during the heatwave, are also provided. Land-use and irrigation is also provided for each scenaio.
DOI: 10.15468/dl.w7d2dx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenopsis richteri, Xylosandrus crassiusculus, Ehrharta calycina, Schizachyrium scoparium, Rosa bracteata, Wasmannia auropunctata, Turanoclytus namaganensis, Megaplatypus mutatus, Tetropium gracilicorne, Cortaderia jubata, Xylosandrus crassiusculus, Andropogon virginicus, Anoplophora glabripennis, Cardiospermum grandiflorum, Polistes chinensis, Polygraphus proximus, Agrilus anxius, Passiflora tarminiana, Agrilus auroguttatus, Agrilus planipennis, Solenopsis invicta, Hedychium coronarium, Aizoon pubescens, Lymantria mathura, Enaphalodes rufulus, Hakea sericea, Pulvinaria hydrangeae, Triadica sebifera, Hylobitelus xiaoi, Solanum seaforthianum, Saperda candida, Rugulopteryx okamurae, Macrosiphoniella sanborni, Xylosandrus mutilatus, Prosopis juliflora, Dendrolimus sibiricus, Melaleuca quinquenervia, Platypus quercivorus, Xylosandrus crassiusculus, Sirex ermak, Agrilus planipennis, Corymbia citriodora, Toumeyella parvicornis, Clematis terniflora, Baccharis spicata, Ludwigia peruviana, Ardisia crenata, Solanum marginatum)",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 47.3024876979",
 "DecimalLatitude is less than or equal to 54.983104153",
 "DecimalLongitude is greater than or equal to 5.98865807458",
 "DecimalLongitude is less than or equal to 15.0169958839",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011691-250711103210423/datasets/export for details.
DOI: 10.15468/dl.jp84qk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys molitrix",
 "Country is Tunisia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011692-250711103210423/datasets/export for details.
DOI: 10.15468/dl.fg2ksh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys molitrix",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011694-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15880246
title: Climate Model Outputs for Orbital Extremes During the LPIA

description: This dataset contains climate model outputs from idealized simulations representing different orbital extremes during the Late Paleozoic Ice Age (LPIA), performed using the Community Earth System Model version 1.2.2 (CESM1.2.2). The simulations systematically vary eccentricity, obliquity, and precession to explore their individual and combined effects on meridional climate structure and energy transport.

The archive includes four folders:





atm: Annual or seasonal zonal-mean climate states under various orbital configurations




HC: Meridional overturning circulation diagnostics (Hadley Cell structures)




T: Vertical meridional temperature profiles




VQ: Meridional moisture transport fields



Each folder contains 15 files, including five annual-mean fields under distinct orbital combinations and ten seasonal subsets (boreal summer and winter) for each configuration. These outputs support analysis of orbital-scale energy redistribution, Hadley circulation variability, and cryospheric responses during the LPIA.
DOI: 10.5281/zenodo.15880247
title: Climate Model Outputs for Orbital Extremes During the LPIA

description: This dataset contains climate model outputs from idealized simulations representing different orbital extremes during the Late Paleozoic Ice Age (LPIA), performed using the Community Earth System Model version 1.2.2 (CESM1.2.2). The simulations systematically vary eccentricity, obliquity, and precession to explore their individual and combined effects on meridional climate structure and energy transport.

The archive includes four folders:





atm: Annual or seasonal zonal-mean climate states under various orbital configurations




HC: Meridional overturning circulation diagnostics (Hadley Cell structures)




T: Vertical meridional temperature profiles




VQ: Meridional moisture transport fields



Each folder contains 15 files, including five annual-mean fields under distinct orbital combinations and ten seasonal subsets (boreal summer and winter) for each configuration. These outputs support analysis of orbital-scale energy redistribution, Hadley circulation variability, and cryospheric responses during the LPIA.
DOI: 10.15468/dl.phqcmu
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Baldellia ranunculoides",
 "Year 1970-2020"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011693-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15658650
title: Data for WATRES

description: This archive contains the final synthetic data and the trained models for the WATRES paper : A data-driven model to estimate time-variable catchment transit time distributions.
DOI: 10.5281/zenodo.15658651
title: Data for WATRES

description: This archive contains the final synthetic data and the trained models for the WATRES paper : A data-driven model to estimate time-variable catchment transit time distributions.
DOI: 10.15468/dl.gn3j9a
title: Occurrence Download

description: A dataset containing 309896 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ABV - Common breeding birds in Flanders, Belgium"
 ]
}

 The dataset includes 309896 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011681-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15535926
title: Colibri: Illustrations in 19th Century Children's and Youth Books

description: This data publication was created with the intent to provide a single large annotated computer vision dataset for research purposes and the development of AI applications. This data publication comprises 53,533 illustrations extracted from 3,412 children's and youth books published between 1800 and 1925.

The primary intention for this data publication was the provision of a large computationally amenable dataset exclusively consisting of image files to stimulate research and development of AI applications. In 2025, large (meta-)datasets from the field of historical cultural data are still missing. In this respect, the data publication provided here aims to fill a gap. The files are suitable for the computational use of digitised collections according to the Collections as Data principles.

The data publication was created by two librarians who participated in the project “Digitization of 19th Century Children’s and Youth Literature”, and a member of the team of the research project “Mensch.Maschine.Kultur – Künstliche Intelligenz für das Digitale Kulturelle Erbe” at Berlin State Library (SBB). The digitization project was funded by the German Research Foundation, project grant no. 456696637, the research project was funded by the Federal Government Commissioner for Culture and the Media (BKM), project grant no. 2522DIG002. The Minister of State for Culture and the Media is part of the German Federal Government.
DOI: 10.5281/zenodo.15535927
title: Colibri: Illustrations in 19th Century Children's and Youth Books

description: This data publication was created with the intent to provide a single large annotated computer vision dataset for research purposes and the development of AI applications. This data publication comprises 53,533 illustrations extracted from 3,412 children's and youth books published between 1800 and 1925.

The primary intention for this data publication was the provision of a large computationally amenable dataset exclusively consisting of image files to stimulate research and development of AI applications. In 2025, large (meta-)datasets from the field of historical cultural data are still missing. In this respect, the data publication provided here aims to fill a gap. The files are suitable for the computational use of digitised collections according to the Collections as Data principles.

The data publication was created by two librarians who participated in the project “Digitization of 19th Century Children’s and Youth Literature”, and a member of the team of the research project “Mensch.Maschine.Kultur – Künstliche Intelligenz für das Digitale Kulturelle Erbe” at Berlin State Library (SBB). The digitization project was funded by the German Research Foundation, project grant no. 456696637, the research project was funded by the Federal Government Commissioner for Culture and the Media (BKM), project grant no. 2522DIG002. The Minister of State for Culture and the Media is part of the German Federal Government.
DOI: 10.15468/dl.pr2qmu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACV6508"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011695-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bbt9s
title: Occurrence Download

description: A dataset containing 899 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isopyrum biternatum"
 ]
}

 The dataset includes 899 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011696-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m79wfp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eclipta prostrata",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw6hr9
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 453 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011656-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hd5dw9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys molitrix",
 "Country is Turkmenistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011699-250711103210423/datasets/export for details.
DOI: 10.15468/dl.4wvvbk
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophthalmichthys molitrix",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 199 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011700-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwdrhs
title: Occurrence Download

description: A dataset containing 1169531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Piranga ludoviciana)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1169531 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011669-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6bz98
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homatula variegata"
 ]
}

 The dataset includes 78 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011702-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dspzup
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isostigma hoffmannii"
 ]
}

 The dataset includes 100 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011704-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kagra6
title: Occurrence Download

description: A dataset containing 75959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Piranga ludoviciana)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 75959 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011670-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3vskq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "Geometry POLYGON((-25.32590 19.59650,79.32590 19.59650,79.32590 61.40350,-25.32590 61.40350,-25.32590 19.59650))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Damasonium alisma",
 "Year 1970-2020"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011703-250711103210423/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.25967712
title: Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation

description: The trend of reverse globalisation prompts manufacturing enterprises to adopt distributed structures with multiple factories for improving production efficiency, meeting customer requirements, and responding disturbance events. This study focuses on scheduling a distributed flexible job shop with random job processing time to achieve minimal makespan and minimal total tardiness. First, a stochastic programming model is established to formulate the concerned problems. Second, in accordance with the natures of two objectives and randomness, an evolutionary algorithm incorporating an evaluation method is designed. In it, population-based and external archive-based search processes are developed for searching candidate solutions, and the evaluation method integrates stochastic simulation and discrete event simulation to calculate objective values of acquired solutions. Finally, a mathematical optimisation solver, CPLEX, is employed to validate the developed model and optimisation approach. A set of cases is solved to verify the performance of the proposed method. The comparisons and discussions show the superiority of the proposed method for handling the problems under study.
DOI: 10.6084/m9.figshare.25967712.v1
title: Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation

description: The trend of reverse globalisation prompts manufacturing enterprises to adopt distributed structures with multiple factories for improving production efficiency, meeting customer requirements, and responding disturbance events. This study focuses on scheduling a distributed flexible job shop with random job processing time to achieve minimal makespan and minimal total tardiness. First, a stochastic programming model is established to formulate the concerned problems. Second, in accordance with the natures of two objectives and randomness, an evolutionary algorithm incorporating an evaluation method is designed. In it, population-based and external archive-based search processes are developed for searching candidate solutions, and the evaluation method integrates stochastic simulation and discrete event simulation to calculate objective values of acquired solutions. Finally, a mathematical optimisation solver, CPLEX, is employed to validate the developed model and optimisation approach. A set of cases is solved to verify the performance of the proposed method. The comparisons and discussions show the superiority of the proposed method for handling the problems under study.
DOI: 10.5281/zenodo.15879879
title: astor-sy/my-model-share: the CMEs prediction on stella

description: 1. solar.zip

This package includes data and models related to solar flares:



dataset/


Contains training (train) and testing (test) datasets



catalog.csv


Catalog of solar flares, including labels, start time, peak time, end time, and the GOES satellite number used for each event



model/


Pre-trained solar flare classification model



train_results/


Training results and evaluation metrics for the solar flare model




2. stella.zip

This package contains data and models for stellar flares (main-sequence stars only):



catalog.csv


Catalog of stellar flare events



flare_energy.csv


Energy estimates for each stellar flare



stella_params_with_type.csv


Stellar parameters with classification



features.csv


Extracted features for each stellar flare event



flare_split/


Subsamples of stellar flares grouped by F, G, K, and M-type main-sequence stars




3. code.zip

This package contains the code to predict the CMEs occurrence on stellar flares (main-sequence stars only):



predict.py


The prediction is performed using two voting strategies
DOI: 10.5281/zenodo.15880297
title: astor-sy/my-model-share: the CMEs prediction on stella

description: 1. solar.zip

This package includes data and models related to solar flares:



dataset/


Contains training (train) and testing (test) datasets



catalog.csv


Catalog of solar flares, including labels, start time, peak time, end time, and the GOES satellite number used for each event



model/


Pre-trained solar flare classification model



train_results/


Training results and evaluation metrics for the solar flare model




2. stella.zip

This package contains data and models for stellar flares (main-sequence stars only):



catalog.csv


Catalog of stellar flare events



flare_energy.csv


Energy estimates for each stellar flare



stella_params_with_type.csv


Stellar parameters with classification



features.csv


Extracted features for each stellar flare event



flare_split/


Subsamples of stellar flares grouped by F, G, K, and M-type main-sequence stars




3. code.zip

This package contains the code to predict the CMEs occurrence on stellar flares (main-sequence stars only):



predict.py


The prediction is performed using two voting strategies
DOI: 10.5281/zenodo.15794453
title: IODP Expedition 311 Proposal Planning Data

description: Data submitted to the IODP Site Survey Data Bank as part of the planning process for IODP Expedition 311.