cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15455772
title: Data set for study - A successive convexification-based approach for efficient school scheduling in multi-region urban networks

description: Citing the Dataset

The dataset is released under a Creative Commons Attribution license, so please cite the dataset if it is used in your work in any form. Published academic papers should use the academic paper citation for our paper.  Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated.

Academic paper citation

Georgantas, A., Timotheou, S., Panayiotou, C.G. et al. A successive convexification-based approach for efficient school scheduling in multi-region urban networks.

Personal use citation

Include a link to this Zenodo page - 10.5281/zenodo.15455772

ACKNOWLEDGMENT

This research is funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for European Programs, Coordination and Development.

Contact Information

If you would like further information about the dataset, or if you experience any issues downloading files, please contact us at ageorg14@ucy.ac.cy.

General Information

This dataset contains the parameter configuration for an 8-region road network (the network architecture is included in the .zip file) containing several schools and several destinations, respectively, in which a Macroscopic Fundamental Diagram governs the operation of every region. In addition, we incorporate the values of split ratios used in the simulation experiments.

More details are available in the Readme.txt
DOI: 10.5281/zenodo.15466256
title: Supplementary material for paper - A successive convexification-based approach for efficient school scheduling in multi-region urban networks

description: Citing the Dataset

The dataset is released under a Creative Commons Attribution license, so please cite the dataset if it is used in your work in any form. Published academic papers should use the academic paper citation for our paper.  Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated.

Academic paper citation

Georgantas, A., Timotheou, S., Panayiotou, C.G. A successive convexification-based approach for efficient school scheduling in multi-region urban networks.

Personal use citation

Include a link to this Zenodo page - 10.5281/zenodo.15466256

ACKNOWLEDGMENT

This research is funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for European Programs, Coordination and Development.

Contact Information

If you would like further information about the dataset, or if you experience any issues downloading files, please contact us at ageorg14@ucy.ac.cy.

General Information

This dataset contains the parameter configuration for an 8-region road network (the network architecture is included in the .zip file) containing several schools and several destinations, respectively, in which a Macroscopic Fundamental Diagram governs the operation of every region. In addition, we incorporate the values of split ratios used in the simulation experiments.

More details are available in the Readme.txt
DOI: 10.15468/dl.a5zkwt
title: Occurrence Download

description: A dataset containing 2648 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FBIP:Catalogue of type specimens in the South African National Collection Of Insects"
 ]
}

 The dataset includes 2648 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007740-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtq69s
title: Occurrence Download

description: A dataset containing 19653 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 Navarretia Ruiz & Pav."
 ]
}

 The dataset includes 19653 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007741-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4sspt
title: Occurrence Download

description: A dataset containing 2016 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudomasaris Ashmead, 1902"
 ]
}

 The dataset includes 2016 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007742-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15466191
title: Empathic AI Proposal-PoC, Legal Framework, and Crisis ntervention System

description: This archive contains the full proposal package developed by Costantino Dulcetta, presenting a modular, ethically grounded and legally viable system for deploying emotionally intelligent AI in critical human contexts.

Originally submitted to OpenAI (May 2025) and now published for public review, the dossier includes: – A complete Proof of Concept for empathic AI behavior

– Symbolic and technical crisis response modules (FSPAF)

– Legal framework for the international implementation of the Safeguard Clause

– SHA-256 file integrity signatures

– Visual UI mockups

– Documentation in both Italian and English (DOCX + PDF)

This project was entirely developed by a single individual, with no institutional affiliation, to demonstrate that emotional alignment, symbolic thresholds, and preventative empathy in AI are not only desirable — but possible.

For ethical, educational and research use only.

Originally submitted to OpenAI. No formal engagement received.
DOI: 10.5281/zenodo.15466192
title: Empathic AI Proposal-PoC, Legal Framework, and Crisis ntervention System

description: This archive contains the full proposal package developed by Costantino Dulcetta, presenting a modular, ethically grounded and legally viable system for deploying emotionally intelligent AI in critical human contexts.

Originally submitted to OpenAI (May 2025) and now published for public review, the dossier includes: – A complete Proof of Concept for empathic AI behavior

– Symbolic and technical crisis response modules (FSPAF)

– Legal framework for the international implementation of the Safeguard Clause

– SHA-256 file integrity signatures

– Visual UI mockups

– Documentation in both Italian and English (DOCX + PDF)

This project was entirely developed by a single individual, with no institutional affiliation, to demonstrate that emotional alignment, symbolic thresholds, and preventative empathy in AI are not only desirable — but possible.

For ethical, educational and research use only.

Originally submitted to OpenAI. No formal engagement received.
DOI: 10.15468/dl.rmc3ue
title: Occurrence Download

description: A dataset containing 5213518 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Falco sparverius Linnaeus, 1758"
 ]
}

 The dataset includes 5213518 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007698-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvd7wf
title: Occurrence Download

description: A dataset containing 728 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 Pterostichus acutipes Barr, 1971",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 728 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007743-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15466338
title: fashion and beauty
DOI: 10.5281/zenodo.15466339
title: fashion and beauty
DOI: 10.15468/dl.qyaefp
title: Occurrence Download

description: A dataset containing 2477 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 Argemone L."
 ]
}

 The dataset includes 2477 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007744-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y55ss
title: Occurrence Download

description: A dataset containing 992 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 Nealchornea Huber"
 ]
}

 The dataset includes 992 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007745-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rsuv5
title: Occurrence Download

description: A dataset containing 98214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "Year 2000-2025"
 ]
}

 The dataset includes 98214 records from 432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007717-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8g6a5
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssum alyssoides",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 486 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040403-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3b35h
title: Occurrence Download

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

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040404-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ey3e7g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssum alyssoides",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040405-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8d2r73
title: Occurrence Download

description: A dataset containing 38075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Utricularia minor"
 ]
}

 The dataset includes 38075 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040399-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16937618
title: Lagrangian backtracked trajectories for YGCW parcels (20-day OceanParcels; NEMO-G108 full-3D velocity field)

description: CF-1.10 NetCDF containing 20-day backward Lagrangian trajectories used to track the origin of parcels forming the YGCW in the virtual Yucatan section (Figure 4). Trajectories were seeded near the detection region and advected backward with OceanParcels (Delandmeter & Van Sebille, 2019) forced by NEMO-G108. Along-path Absolute Salinity and Conservative Temperature were sampled. In addition, quasi-Eulerian velocities—u_lag, v_lag, w_lag—were estimated from the trajectories (post-processed; not directly sampled) and provided for figure diagnostics. Each column = one trajectory; the observation dimension has 160 samples (20 days at 3-hourly intervals).

File & variable format





Recommended filename: YGCW_Parcels_Backtracked20d_NEMO-G108.nc




Dimensions: obs=160, trajectory=62911 (arrays stored as [obs × trajectory])




Feature type: trajectory (CF)




Coordinates (aux variables):





time — seconds since 1970-01-01 00:00:00 UTC (gregorian)




lat — degrees_north




lon — degrees_east




depth — meters, positive down






Data variables (names/units):





SA — Absolute salinity (g kg⁻¹)




CT — Conservative temperature (degree_Celsius)




u_lag, v_lag, w_lag — velocity estimates from trajectories (m s⁻¹)






IDs/coverage:





trajectory (int, cf_role="trajectory_id")




trajectory_start_time, trajectory_end_time — per-trajectory coverage (s since epoch)





 

MethodsBacktracking performed with OceanParcels using NEMO-G108 outputs; release criteria, temporal resolution, and velocity estimation follow the manuscript and Supporting Information. This file was created with write_parcels_backtrack_cf.m.

CoverageRegion: Yucatan Channel and upstream Caribbean pathways (exact extent given in file attributes).Time span: per-trajectory start/end provided; all trajectories are 20 days long.

Format & conventionsNetCDF-4 (deflate), CF-1.10; featureType=trajectory; coordinates given in WGS84 (EPSG:4326).

LicenseCC-BY 4.0 (processed products).

Usage noteVelocities u_lag, v_lag, w_lag are derived from trajectories and may differ from instantaneous Eulerian values. KeywordsYucatan Channel; Lagrangian trajectories; backtracking; OceanParcels; YGCW; submesoscale; CF-NetCDF.
DOI: 10.5281/zenodo.16937619
title: Lagrangian backtracked trajectories for YGCW parcels (20-day OceanParcels; NEMO-G108 full-3D velocity field)

description: CF-1.10 NetCDF containing 20-day backward Lagrangian trajectories used to track the origin of parcels forming the YGCW in the virtual Yucatan section (Figure 4). Trajectories were seeded near the detection region and advected backward with OceanParcels (Delandmeter & Van Sebille, 2019) forced by NEMO-G108. Along-path Absolute Salinity and Conservative Temperature were sampled. In addition, quasi-Eulerian velocities—u_lag, v_lag, w_lag—were estimated from the trajectories (post-processed; not directly sampled) and provided for figure diagnostics. Each column = one trajectory; the observation dimension has 160 samples (20 days at 3-hourly intervals).

File & variable format





Recommended filename: YGCW_Parcels_Backtracked20d_NEMO-G108.nc




Dimensions: obs=160, trajectory=62911 (arrays stored as [obs × trajectory])




Feature type: trajectory (CF)




Coordinates (aux variables):





time — seconds since 1970-01-01 00:00:00 UTC (gregorian)




lat — degrees_north




lon — degrees_east




depth — meters, positive down






Data variables (names/units):





SA — Absolute salinity (g kg⁻¹)




CT — Conservative temperature (degree_Celsius)




u_lag, v_lag, w_lag — velocity estimates from trajectories (m s⁻¹)






IDs/coverage:





trajectory (int, cf_role="trajectory_id")




trajectory_start_time, trajectory_end_time — per-trajectory coverage (s since epoch)





 

MethodsBacktracking performed with OceanParcels using NEMO-G108 outputs; release criteria, temporal resolution, and velocity estimation follow the manuscript and Supporting Information. This file was created with write_parcels_backtrack_cf.m.

CoverageRegion: Yucatan Channel and upstream Caribbean pathways (exact extent given in file attributes).Time span: per-trajectory start/end provided; all trajectories are 20 days long.

Format & conventionsNetCDF-4 (deflate), CF-1.10; featureType=trajectory; coordinates given in WGS84 (EPSG:4326).

LicenseCC-BY 4.0 (processed products).

Usage noteVelocities u_lag, v_lag, w_lag are derived from trajectories and may differ from instantaneous Eulerian values. KeywordsYucatan Channel; Lagrangian trajectories; backtracking; OceanParcels; YGCW; submesoscale; CF-NetCDF.
DOI: 10.15468/dl.aj52mp
title: Occurrence Download

description: A dataset containing 178370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Setophaga cerulea"
 ]
}

 The dataset includes 178370 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040347-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spnpme
title: Occurrence Download

description: A dataset containing 60705 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Anopheles collections in the health districts of Korhogo (Côte d'Ivoire) and Diébougou (Burkina Faso) (2016-2018)"
 ]
}

 The dataset includes 60705 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040395-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vn2kfv
title: Occurrence Download

description: A dataset containing 44435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Utricularia vulgaris"
 ]
}

 The dataset includes 44435 records from 480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040402-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16937500
title: PRINCIPAIS IMPACTOS ANALISADOS NOS RESUMOS DOS ARTIGOS SOBRE A MATA ATLÂNTICA NA WOS E SCOPUS

description: A pesquisa seguiu uma metodologia de revisão bibliométrica sistemática para analisar a produção científica sobre a barragem de Mariana, Brasil. A coleta de dados foi realizada em fevereiro de 2024 nas bases de dados Web of Science (WoS) e Scopus, utilizando a expressão de busca: ("rio doce" OR "doce river") AND (samarco OR "fundao dam" OR "dam fundao" OR "dam in mariana" OR "mariana dam" OR "BHP Billiton" OR "vale compan*" OR “company vale” OR “vale SA” OR “vale s.a”), limitada ao período de 2015 a 2024.

A busca inicial resultou em 143 artigos na WoS e 185 na Scopus. Posteriormente, aplicou-se um processo de filtragem para selecionar apenas os trabalhos que abordavam impactos socioambientais relacionados ao rompimento da barragem do Fundão na bacia do Rio Doce. A classificação dos artigos foi baseada nos critérios de Macêdo et al. (2023), que categorizam os impactos em: Ambiental, Biológico e Social. Para aprimorar a classificação, foram adicionadas as categorias "Outros impactos sociais" e "Outros Impactos". As duplicatas entre as bases foram eliminadas, resultando em um corpus final de 97 artigos. A análise dos dados revelou uma alta sobreposição de indexação entre as duas bases de dados, com 77,3% dos artigos presentes em ambas.
DOI: 10.5281/zenodo.16937501
title: PRINCIPAIS IMPACTOS ANALISADOS NOS RESUMOS DOS ARTIGOS SOBRE A MATA ATLÂNTICA NA WOS E SCOPUS

description: A pesquisa seguiu uma metodologia de revisão bibliométrica sistemática para analisar a produção científica sobre a barragem de Mariana, Brasil. A coleta de dados foi realizada em fevereiro de 2024 nas bases de dados Web of Science (WoS) e Scopus, utilizando a expressão de busca: ("rio doce" OR "doce river") AND (samarco OR "fundao dam" OR "dam fundao" OR "dam in mariana" OR "mariana dam" OR "BHP Billiton" OR "vale compan*" OR “company vale” OR “vale SA” OR “vale s.a”), limitada ao período de 2015 a 2024.

A busca inicial resultou em 143 artigos na WoS e 185 na Scopus. Posteriormente, aplicou-se um processo de filtragem para selecionar apenas os trabalhos que abordavam impactos socioambientais relacionados ao rompimento da barragem do Fundão na bacia do Rio Doce. A classificação dos artigos foi baseada nos critérios de Macêdo et al. (2023), que categorizam os impactos em: Ambiental, Biológico e Social. Para aprimorar a classificação, foram adicionadas as categorias "Outros impactos sociais" e "Outros Impactos". As duplicatas entre as bases foram eliminadas, resultando em um corpus final de 97 artigos. A análise dos dados revelou uma alta sobreposição de indexação entre as duas bases de dados, com 77,3% dos artigos presentes em ambas.
DOI: 10.15468/dl.fj8nue
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssum alyssoides",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 134 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040408-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df3px2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssum alyssoides",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040409-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49ax5y
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssum alyssoides",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040411-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4mwjp
title: Occurrence Download

description: A dataset containing 27252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medicago truncatula"
 ]
}

 The dataset includes 27252 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040410-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/wks7-4j90
title: GATOS_PolarDust
DOI: 10.15468/dl.hpucd8
title: Occurrence Download

description: A dataset containing 27252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medicago truncatula"
 ]
}

 The dataset includes 27252 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040412-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.