cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10419277
title: Sound-Frameworks: Shih-Fu Peng (Heneghan Peng Architects) - Survey Interview

description: This is a transcription of a survey interview that took place within the project Sound-Frameworks: Collaborative Frameworks for Integrating Sound Within Urban Design and Planning Processes.

Sound-Frameworks is an action-led research project that explores the role of sound in urban design and city planning. The project is led by the artist and researcher Dr. Sven Anderson and hosted by Theatrum Mundi, a non-profit organisation that expands the craft of city-making through collaboration with artists.

Central to this project is a focus on how urban sonic experience can serve as a driver for design in the public realm. The public realm constitutes the integral connective tissue that defines the contemporary cityscape, within which different individuals, communities and institutions engage with each other through cooperation and conflict. Sound has remained a neglected dimension of this domain, generally coming into consideration only within late stages of design through efforts to ameliorate the impact of environmental noise. As the densification of urban territories accelerates, the role of sonic experience as an essential factor to be addressed by urban designers must be reassessed.

Sound-Frameworks explores new methodologies for integrating sound in urban design through the production of three inter-related resources:

1. A sound in practice survey2. A publication on best practice guidelines in this field3. An online tool to guide the integration of sound in the design of the public realm

Drawing from environmental acoustics, spatial planning, contemporary sound studies, the project initiates a framework to extend regional, national and international objectives for integrated city planning and contribute to public realm initiatives in Europe and beyond.

Sound-Frameworks has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101032632.

Sound-Frameworks is hosted by Theatrum Mundi (UK) and supported by partnerships with Arup (UK), UrbanIdentity (CH), Struer Kommune (DK), the University of Oxford Faculty of Music (UK) and the Sound Studies Lab at the University of Copenhagen (DK). 

Sound-Frameworks: https://www.soundframeworks.orgTheatrum Mundi: https://www.theatrum-mundi.orgSven Anderson: https://www.svenanderson.net
DOI: 10.15468/dl.vxej3s
title: Occurrence Download

description: A dataset containing 11655688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11655688 records from 1354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012025-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuwnaa
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna siamea",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 139 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024886-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25912/rdf_1755669475418
title: Thermoelectric property measurements of GeTe-based materials
DOI: 10.15468/dl.cga6j5
title: Occurrence Download

description: A dataset containing 12168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "TaxonKey is one of (Pristimantis proserpens, Xenerpestes singularis, Ara militaris, Pyrrhura albipectus, Priodontes maximus, Tremarctos ornatus, Panthera onca, Tapirus terrestris, Lagothrix lagothricha, Myrmecophaga tridactyla)"
 ]
}

 The dataset includes 12168 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002345-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyfj7n
title: Occurrence Download

description: A dataset containing 366266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecile palustris",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "DatasetKey is Artportalen"
 ]
}

 The dataset includes 366266 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002329-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqarvv
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-121.6851 49.30661,-121.68319 49.30478,-121.68062 49.30257,-121.67695 49.30184,-121.67296 49.30111,-121.66762 49.30375,-121.66395 49.3072,-121.66161 49.31032,-121.66148 49.31249,-121.6617 49.31466,-121.66272 49.31756,-121.66514 49.3213,-121.66662 49.32292,-121.66909 49.3246,-121.67189 49.32545,-121.67586 49.32568,-121.67844 49.32568,-121.68025 49.32544,-121.68259 49.32482,-121.68522 49.3232,-121.68717 49.32024,-121.6882 49.31555,-121.68693 49.31021,-121.6851 49.30661))"
 ]
}

 The dataset includes 99 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002354-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6n38n
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus ravus ravus"
 ]
}

 The dataset includes 156 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002355-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt3nen
title: Occurrence Download

description: A dataset containing 1730851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 1730851 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002340-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-b-000737485
title: Tissue Engineered Elastic Cartilage-Mimetic Auricular Grafts for Microtia Reconstruction
DOI: 10.3929/ethz-c-000793385
title: RUNX2 KO MSC-derived cartilage with enhanced chondrogenesis and resistance to endochondral ossification
DOI: 10.3929/ethz-c-000794688
title: A 3D printed model of human lactation
DOI: 10.5281/zenodo.18434873
title: When the Ledger Breaks

description: This policy memo documents how incomplete tenant ledgers, when combined with automated payment application systems, create unverifiable balances that are nevertheless enforced through eviction notices and repayment demands. Using a real-world case involving the Seattle Housing Authority (SHA), this memo demonstrates that the absence of month-to-month continuity in accounting records invalidates downstream calculations, notices, and enforcement actions.

The core finding is simple but systemic:

A balance derived from a non-continuous ledger cannot be certified, audited, or enforced without reconstruction.

This memo is intended for housing authorities, compliance officers, auditors, policymakers, and legal counsel.
DOI: 10.5281/zenodo.18434874
title: When the Ledger Breaks

description: This policy memo documents how incomplete tenant ledgers, when combined with automated payment application systems, create unverifiable balances that are nevertheless enforced through eviction notices and repayment demands. Using a real-world case involving the Seattle Housing Authority (SHA), this memo demonstrates that the absence of month-to-month continuity in accounting records invalidates downstream calculations, notices, and enforcement actions.

The core finding is simple but systemic:

A balance derived from a non-continuous ledger cannot be certified, audited, or enforced without reconstruction.

This memo is intended for housing authorities, compliance officers, auditors, policymakers, and legal counsel.
DOI: 10.15468/dl.3jdaap
title: Occurrence Download

description: A dataset containing 113651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.43_1",
 "TaxonKey is Archilochus colubris"
 ]
}

 The dataset includes 113651 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002302-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82116/ya5utf
title: Prueba nuevo DOI

description: Dataset de prueba
DOI: 10.15468/dl.eywa37
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trillium gracile"
 ]
}

 The dataset includes 378 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002358-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/cuvoni
title: Supplemental data for: Biology and behaviour of the box tree moth (Cydalima perspectalis), an invasive nursery and landscape pest in southern Ontario

description: The box tree moth (BTM) (Cydalima perspectalis) is an invasive insect pest that was confirmed to be present in Etobicoke, Ontario by the CFIA in November, 2018. BTM attacks boxwood (Buxus sp.), a popular broadleaf plant used in residential and commercial gardens, hedges and topiary in Canada. For the nursery sector, boxwood represents a very high value, slow-growing crop in Ontario, Quebec and BC. BTM is a distinct threat to this industry causing severe defoliation that quickly leads to death of the plant in both young and mature specimens. This project focused on the development of a sustainable integrated pest management (IPM) program for BTM that includes monitoring, a phytosanitary protocol, BTM biology in Ontario (life cycle, plant phenology indicators, degree day), biological and chemical control tactics. The overarching objective of the project is to develop an effective IPM program for the that will allow the nursery industry and residential landowners to manage and slow the spread: 1) Survey and monitoring - delineate the dispersal of box tree moth from confirmed locations in Etobicoke; identify outbreaks in new areas away from Etobicoke but associated with boxwood in Ontario; 2) Investigate the biology, population ecology and behaviour of BTM in Ontario since they appear to be different from population in Asia and Europe; 3) IPM - strategies for BTM management will be investigated with a focus on biological (classical, augmentative and conservation) , and chemical (screening chemicals; biochemical biopesticides - mating disruption) controls; 4) Develop a BTM phytosanitary protocol/certification for commercial growers of box tree in an effort to retain export markets to the US.
description: SAS, 9.4
description: ImageJ
description: <b>Notes on Excel files:</b> For preservation purposes, 'flat file' comma separate values (CSV) versions of the multi-spreadsheet Excel workbooks contained in this dataset have been created. The original Excel Workbook files are included in the 'OriginalExcelFiles.Zip' archive folder.
DOI: 10.6084/m9.figshare.29041948
title: ‘Very Beautiful Land’: Malay Knowledge, Spanish Voyages, and Indigenous Presence in Iberian Mapping of New Guinea

description: In 1545, Ortiz de Retes ‘took possession’ for Spain of a ‘very beautiful land’ southeast of Maluku and named it New Guinea. This article charts the interplay of local knowledge, Iberian experience, and European cosmography in the fragmentary knowing, naming, and mapping of New Guinea’s coasts in the two centuries after 1511. From Malay stories about the islands, coast, or land of the <i>papuas</i> (Papuans) told to Portuguese and Spaniards in Maluku, empirical traces of New Guinea slowly accumulated during at least seven known voyages before 1606. Materialized in manuscript in travellers’ reports or charts and maps copied from lost Portuguese and Spanish master maps, knowledge of New Guinea was published in travel narratives, chronicles, and wider European cartography. My focus is Iberian encounters with places and their naming and mapping. But I also identify hints in maps and other texts of Indigenous agency in encounters and of ancient regional linkages.
DOI: 10.6084/m9.figshare.29041948.v1
title: ‘Very Beautiful Land’: Malay Knowledge, Spanish Voyages, and Indigenous Presence in Iberian Mapping of New Guinea

description: In 1545, Ortiz de Retes ‘took possession’ for Spain of a ‘very beautiful land’ southeast of Maluku and named it New Guinea. This article charts the interplay of local knowledge, Iberian experience, and European cosmography in the fragmentary knowing, naming, and mapping of New Guinea’s coasts in the two centuries after 1511. From Malay stories about the islands, coast, or land of the <i>papuas</i> (Papuans) told to Portuguese and Spaniards in Maluku, empirical traces of New Guinea slowly accumulated during at least seven known voyages before 1606. Materialized in manuscript in travellers’ reports or charts and maps copied from lost Portuguese and Spanish master maps, knowledge of New Guinea was published in travel narratives, chronicles, and wider European cartography. My focus is Iberian encounters with places and their naming and mapping. But I also identify hints in maps and other texts of Indigenous agency in encounters and of ancient regional linkages.
DOI: 10.25345/c5bg2hq38
title: MassIVE MSV000100667 - McClure_PPI_Carbstor_Metabolomics
title: Testing the interaction of metabolites between different organisms using a shared pool system
DOI: 10.5281/zenodo.17019306
title: Dataset: 2,122 Images from a Public Telegram Channel (Jan–Dec 2024) — Online Misogyny (Encrypted / Restricted Access)

description: This repository contains an encrypted dataset of 2,122 images collected from a public Telegram channel, covering the period January–December 2024. The dataset was produced as part of the research presented at the 49th ANPOCS Annual Meeting, in the paper:

“Visual Patterns of Online Misogyny: A Computer Vision Analysis of Telegram Chats”(Portuguese title: Visões Computacionais da Misoginia Online: Uso de IA para Análise de Imagens em Chats do Telegram)

The dataset supports research on online misogyny, image-based hate speech, and multimodal digital methods, particularly within social science approaches to large-scale visual content. The accompanying study used computer vision techniques to process and cluster the images in order to identify recurring visual and narrative patterns associated with misogynistic content. The analysis yielded a preliminary visual typology, with clusters that include (among others): memes, screenshots from other platforms, cartoons, attacks on physical appearance, and sexualization of women’s bodies.

This dataset is intended to facilitate replication, comparative research, and methodological development in computational social science and digital sociology, especially for researchers investigating multimodal extremist discourse and gendered hate in digital environments.

Data protection and access conditions

For data protection and image rights reasons, all files in this repository are encrypted.Researchers interested in accessing the decrypted dataset must:

Contact the research team via email: labhdufba@gmail.com

Sign a confidentiality agreement / non-disclosure term

Receive the password required to decrypt the files

No decrypted images are made publicly available in this repository.

Authors

Raíssa Jeanine Nothaft (UFBA) — ORCID: 0000-0002-3933-0379

Leonardo Fernandes Nascimento (UFBA) — ORCID: 0000-0003-2929-1115

Leonardo Thibau Teixeira de Moraes (UFBA) — ORCID: 0000-0002-3908-6580

Rosana Silva Moore Wedderburn (UFBA) — ORCID: 0000-0001-6839-8762

Ruan Arthur Lima Santos (UFBA) — ORCID: 0009-0003-1358-4690

Contact

For data access requests (confidentiality agreement + password), write to: labhdufba@gmail.com

Keywords

Telegram; online misogyny; hate speech; computer vision; multimodal analysis; image clustering; social media research; digital sociology.

Suggested citation

Nothaft, R. J., Nascimento, L. F., Moraes, L. T. T., Wedderburn, R. S. M., & Lima Santos, R. A. (2026). Dataset: 2,122 images from a public Telegram channel (Jan–Dec 2024) — Online Misogyny (Encrypted / Restricted Access). Zenodo.
DOI: 10.5281/zenodo.17019307
title: Dataset: 2,122 Images from a Public Telegram Channel (Jan–Dec 2024) — Online Misogyny (Encrypted / Restricted Access)

description: This repository contains an encrypted dataset of 2,122 images collected from a public Telegram channel, covering the period January–December 2024. The dataset was produced as part of the research presented at the 49th ANPOCS Annual Meeting, in the paper:

“Visual Patterns of Online Misogyny: A Computer Vision Analysis of Telegram Chats”(Portuguese title: Visões Computacionais da Misoginia Online: Uso de IA para Análise de Imagens em Chats do Telegram)

The dataset supports research on online misogyny, image-based hate speech, and multimodal digital methods, particularly within social science approaches to large-scale visual content. The accompanying study used computer vision techniques to process and cluster the images in order to identify recurring visual and narrative patterns associated with misogynistic content. The analysis yielded a preliminary visual typology, with clusters that include (among others): memes, screenshots from other platforms, cartoons, attacks on physical appearance, and sexualization of women’s bodies.

This dataset is intended to facilitate replication, comparative research, and methodological development in computational social science and digital sociology, especially for researchers investigating multimodal extremist discourse and gendered hate in digital environments.

Data protection and access conditions

For data protection and image rights reasons, all files in this repository are encrypted.Researchers interested in accessing the decrypted dataset must:

Contact the research team via email: labhdufba@gmail.com

Sign a confidentiality agreement / non-disclosure term

Receive the password required to decrypt the files

No decrypted images are made publicly available in this repository.

Authors

Raíssa Jeanine Nothaft (UFBA) — ORCID: 0000-0002-3933-0379

Leonardo Fernandes Nascimento (UFBA) — ORCID: 0000-0003-2929-1115

Leonardo Thibau Teixeira de Moraes (UFBA) — ORCID: 0000-0002-3908-6580

Rosana Silva Moore Wedderburn (UFBA) — ORCID: 0000-0001-6839-8762

Ruan Arthur Lima Santos (UFBA) — ORCID: 0009-0003-1358-4690

Contact

For data access requests (confidentiality agreement + password), write to: labhdufba@gmail.com

Keywords

Telegram; online misogyny; hate speech; computer vision; multimodal analysis; image clustering; social media research; digital sociology.

Suggested citation

Nothaft, R. J., Nascimento, L. F., Moraes, L. T. T., Wedderburn, R. S. M., & Lima Santos, R. A. (2026). Dataset: 2,122 images from a public Telegram channel (Jan–Dec 2024) — Online Misogyny (Encrypted / Restricted Access). Zenodo.
DOI: 10.15468/dl.6373su
title: Occurrence Download

description: A dataset containing 0 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 (Helarctos malayanus (Raffles, 1822))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016250-250525065834625/datasets/export for details.
DOI: 10.15468/dl.cuwtbn
title: Occurrence Download

description: A dataset containing 0 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 (Helarctos malayanus (Raffles, 1822))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016253-250525065834625/datasets/export for details.
DOI: 10.15468/dl.x3nbxd
title: Occurrence Download

description: A dataset containing 1747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sarcoptiformes",
 "Year 1999-2001",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 1747 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049625-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.