cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18723769
title: clypeobarbus_pleuropholis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18723795
title: MIKROBIOTA VA ALLERGIK KASALLIKLAR O'RTASIDAGI O'ZARO ALOQA: PATOGENEZ VA IMMUNOLOGIK MEXANIZMLAR TAHLILI
DOI: 10.5281/zenodo.18723796
title: MIKROBIOTA VA ALLERGIK KASALLIKLAR O'RTASIDAGI O'ZARO ALOQA: PATOGENEZ VA IMMUNOLOGIK MEXANIZMLAR TAHLILI
DOI: 10.15468/dl.66scbb
title: Occurrence Download

description: A dataset containing 13696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Oxychilus draparnaudi"
 ]
}

 The dataset includes 13696 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033857-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c54j0bb4t
title: MassIVE MSV000100926 - Chemoproteomic competition pulldown assay for the selectivity profiling of a SMARCA ligand.
title: Chemoproteomic competition pulldown assay for the selectivity profiling of a SMARCA ligand.
DOI: 10.5167/uzh-291784
title: How regulatory flexibility in strategy use helps self-control: Theoretical models, empirical evidence, and empirical challenges

description: Preprint of a book chapter to appear in E. Hirt (Ed.), Handbook of Motivation and Social Psychology
DOI: 10.5281/zenodo.18723817
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.
DOI: 10.15468/dl.hc5ngh
title: Occurrence Download

description: A dataset containing 9319442 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NMNH Extant Specimen Records (USNM, US)"
 ]
}

 The dataset includes 9319442 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033845-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nn9hmh
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Remiz macronyx"
 ]
}

 The dataset includes 184 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033858-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5167/uzh-291681
title: Jafar Panahi, Filmemacher und Dissident
DOI: 10.5167/uzh-292205
title: Social listening in infodemic management for public health emergencies: guidance on ethical considerations

description: This guidance document has been developed by the World Health Organization (WHO) to guide governments, organizations and individuals seeking advice on how to ethically engage in social listening as part of infodemic assessment and mitigation strategies, in concordance with the protection of and respect for human rights, in preparation for, during and after public health emergencies. In the context of public health, social listening is the process of listening to and analysing conversations and narratives. It entails the capture and analysis of data from diverse sources to understand the conversations, feelings, attitudes, knowledge, beliefs and intentions of populations and communities with respect to health risks (e.g. disease outbreaks) and mitigating factors, as well as the scientific evidence and government policies surrounding them. These data have a range of sources, including health systems, epidemiological data, sociobehavioural or economic studies, traditional media and data generated by users of digital and social media platforms. The most common application of social listening as part of infodemic management is to generate infodemic insights that summarize a community’s questions, concerns and areas of uncertainty or discord, which can help to inform appropriate, sensitive, proportionate and effective interventions.
DOI: 10.15468/dl.5e2yfc
title: Occurrence Download

description: A dataset containing 1629388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Year is 2021",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1629388 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033849-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9ty43
title: Occurrence Download

description: A dataset containing 51135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lachnolaimus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51135 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033839-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ks4eu
title: Occurrence Download

description: A dataset containing 1911867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Year is 2023",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1911867 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033847-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcafh2
title: Occurrence Download

description: A dataset containing 1389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anacardium",
 {
 "or" : [
 "Year 1992-2025",
 "Year 1992-2025"
 ]
 }
 ]
}

 The dataset includes 1389 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033859-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5167/uzh-292202
title: Einsichten aus der Zeit der Covid-19-Pandemie : Ethische und rechtliche Erwägungen

description: In ihrer Stellungnahme Nr. 45/2025 befasst sich die Nationale Ethikkommission im Bereich der Humanmedizin (NEK) mit den Einsichten aus der Covid-19-Pandemie. Sie beleuchtet ethische und rechtliche Aspekte der Pandemievorbereitung und -bewältigung und leitet daraus Empfehlungen für künftige Pandemien ab. Eine Pandemie ist eine akute Krisensituation, die durch hohe Komplexität, grosse Unsicherheit und sich rasant verändernde Rahmenbedingungen gekennzeichnet ist. Um die Bevölkerung und insbesondere gefährdete Bevölkerungsgruppen zu schützen, müssen schwierige Entscheidungen getroffen werden, die grosse Auswirkungen auf das Leben vieler Menschen haben. Bei zeitkritischen Entscheidungen ist es vielfach nicht möglich, die üblichen (demokratischen) Verfahren zu durchlaufen. Darüber hinaus müssen unter Umständen Grundrechte vorübergehend eingeschränkt werden. Derartige Entscheidungen berühren daher grundlegende ethische und rechtliche Fragen.
DOI: 10.5167/uzh-292201
title: Expanding HCXAI in the Age of AI Agents: Challenges and Recommendations

description: AI agents—autonomous, multi-tasking systems beyond traditional AI—will reshape human-AI interaction shifting the focus from a simple human-versus-system autonomy debate to a triadic model: human users, AI agents, and digital resources. Further, the widespread adoption of agentic systems as consumer products will accelerate the large-scale integration of novel human-AI agent hybridization into everyday life, necessitating renewed examinations of agent identity, accountability, and trust in AI agent-rich digital environments. In this position paper, we argue that HumanCentered eXplainable AI (HCXAI) can help addressing these trends by developing causal explanations that span multiple levels of abstraction and integrate different digital resources, as well as personalized, interactive explanations that serve as identity warranty mechanisms when humans and AI agents interact together and with other digital resources. Finally, as a research field, HCXAI can help redesign the explainability-trust relation in these novel digital ecosystems. We introduce examples of these explanations, calling for an interdisciplinary collaboration to refine these high-level proposals and ensure a still human-centered digital future.
DOI: 10.5167/uzh-292214
title: Analysis of the existing European human rights framework concerning the human rights issues raised by neurotechnologies and their applications

description: Report commissioned by the Steering Committee for Human Rights in the fields of Biomedicine and Health (CDBIO)
DOI: 10.5167/uzh-292209
title: Recommendations for a Future with Quantum Technology
title: Empfehlungen für eine Zukunft mit Quantentechnologie
title: Recommandations pour un avenir avec la technologie quantique
DOI: 10.15468/dl.f3za3k
title: Occurrence Download

description: A dataset containing 1847577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Year is 2022",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1847577 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033848-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfvnnz
title: Occurrence Download

description: A dataset containing 26060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argopecten",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26060 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033860-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5167/uzh-291911
title: Poor, cold and rebellious: the Swiss Jura shows its rich imagination in films

description: In its 60th edition, the Solothurn Film Festival used its retrospective to highlight films about the Jura region – a place of Swiss separatism, linguistic divides, economic hardship, and nostalgia.
DOI: 10.5167/uzh-292171
title: Gesundheitliche Vorausplanung in Alters- und Pflegeheimen : Wegleitung zur Umsetzung.

description: Eine praxisorientierte Wegleitung zur Umsetzung der Gesundheitlichen Vorausplanung (GVP) in Alters- und Pflegeheimen, die Fachpersonen bei der Einführung und Anwendung unterstützt. Die Wegleitung richtet sich an alle Berufsgruppen in Institutionen der stationären Langzeitpflege, insbesondere an Pflegefachpersonen, die Ärzteschaft sowie Fachpersonen, die Gespräche zur GVP anbieten. Ziel ist, dass GVP verstanden und zum Wohl der Bewohnenden im Alltag gelebt wird. In sechs Schritten werden das Wann, das Was, das Wie der GVP beschrieben und die mögliche Dokumentation aufgezeigt.
DOI: 10.5167/uzh-291783
title: Personality processes in self-regulatory flexibility

description: Self-regulatory flexibility refers to the context-dependent use of self-regulatory strategies to manage conflicts in self-control. Theoretical models ofregulatory flexibility from neighboring fields,such as emotion regulation and coping,have been adapted to the self-control context. In addition, recent self-control models have incorporatednotions of flexibility. This chapter reviews these models and the relevant empirical findings on the role of regulatory flexibility in the domain of self-control. In addition, we discuss polyregulation as apotential instance of regulatory flexibility. Empirical research suggests that different aspects of flexibility may contribute to self-control success in daily life. However, many open questions remain concerning the prevalence, adaptiveness, and importanceof flexible regulationcompared to other predictors of regulatory success. The chapter concludes with recommendations for future research. Preprint of a book chapter to appear in M. D. Robinson, T. A. Pringle, & B. M. Wilkowski (Eds.),* The handbook of personality processes: Momentary, daily, developmental, and generational perspectives
DOI: 10.5281/zenodo.18723813
title: Yelp Restaurant Reviews Sentiment Dataset

description: The Yelp Restaurant Reviews Dataset (Sample Extract) comprises 14,351 individual restaurant review records collected from the official Yelp Open Dataset, designed to support research in sentiment analysis, natural language processing, and customer behaviour analytics. Each record corresponds to a single customer review and integrates mixed data types, including textual content (full review text), numerical attributes (review star rating on a 1–5 scale, overall business rating, and total review count), and categorical metadata (business name, restaurant categories, city, state, and sentiment label). The dataset spans multiple U.S. cities and states, covering the restaurant and food service domain, and includes a pre-labelled sentiment variable (Positive, Neutral, Negative) to facilitate supervised learning tasks. Temporal information is preserved through review timestamps, enabling time-based analysis, while business-level aggregation variables support recommendation systems and reputation modelling studies. The dataset is provided in CSV format, ensuring compatibility with common data science tools and workflows.
DOI: 10.5281/zenodo.18723812
title: Yelp Restaurant Reviews Sentiment Dataset

description: The Yelp Restaurant Reviews Dataset (Sample Extract) comprises 14,351 individual restaurant review records collected from the official Yelp Open Dataset, designed to support research in sentiment analysis, natural language processing, and customer behaviour analytics. Each record corresponds to a single customer review and integrates mixed data types, including textual content (full review text), numerical attributes (review star rating on a 1–5 scale, overall business rating, and total review count), and categorical metadata (business name, restaurant categories, city, state, and sentiment label). The dataset spans multiple U.S. cities and states, covering the restaurant and food service domain, and includes a pre-labelled sentiment variable (Positive, Neutral, Negative) to facilitate supervised learning tasks. Temporal information is preserved through review timestamps, enabling time-based analysis, while business-level aggregation variables support recommendation systems and reputation modelling studies. The dataset is provided in CSV format, ensuring compatibility with common data science tools and workflows.
DOI: 10.15468/dl.zg6jne
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rattus stoicus"
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033862-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dtysj
title: Occurrence Download

description: A dataset containing 25312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grapsus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25312 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033861-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17120025
title: Impact monitoring raw data reported by case studies in MERLIN (EU Horizon 2020) - Zero pollution

description: This dataset contains csv files with raw data of the impact monitoring within the EU Horizon 2020 project MERLIN (grant agreement No. 101036337) reported by case studies till end of May 2025 for the Zero pollution criterion.
DOI: 10.5281/zenodo.17120024
title: Impact monitoring raw data reported by case studies in MERLIN (EU Horizon 2020) - Zero pollution

description: This dataset contains csv files with raw data of the impact monitoring within the EU Horizon 2020 project MERLIN (grant agreement No. 101036337) reported by case studies till end of May 2025 for the Zero pollution criterion.
DOI: 10.5281/zenodo.17119981
title: Impact monitoring raw data reported by case studies in MERLIN (EU Horizon 2020) - Health and well-being

description: This dataset contains csv files with raw data of the impact monitoring within the EU Horizon 2020 project MERLIN (grant agreement No. 101036337) reported by case studies till end of May 2025 for the Health and well-being criterion.
DOI: 10.5281/zenodo.17119982
title: Impact monitoring raw data reported by case studies in MERLIN (EU Horizon 2020) - Health and well-being

description: This dataset contains csv files with raw data of the impact monitoring within the EU Horizon 2020 project MERLIN (grant agreement No. 101036337) reported by case studies till end of May 2025 for the Health and well-being criterion.
DOI: 10.15468/dl.pw9b5u
title: Occurrence Download

description: A dataset containing 1989028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae",
 "Year 1970-2025"
 ]
}

 The dataset includes 1989028 records from 750 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020193-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17312618
title: Glycolipid recognition and binding by Siglec-6 hinges on interactions with the cell  membrane
DOI: 10.5281/zenodo.17312619
title: Glycolipid recognition and binding by Siglec-6 hinges on interactions with the cell  membrane
DOI: 10.6084/m9.figshare.30556721
title: 3I/ATLAS (C/2025 N1) — Confirmed and Forecasted Trajectory Deviations (Baryonic Matter Physics Validation Record

description: This dataset consolidates all <b>confirmed and forecasted trajectory deviations</b> of interstellar object <b>3I/ATLAS (C/2025 N1)</b> predicted and later verified within the <b>Baryonic Matter (BM) Physics framework</b>.<br>It combines three prior stages of documentation:<b>Pre-perihelion forecast (DOI 10.6084/m9.figshare.29936516)</b> – initial prediction dataset establishing priority.<b>Outbound forecast framework (DOI 10.6084/m9.figshare.30511304)</b> – tabulated event schedule (Nov 6 – Dec 7 2025).<b>Post-perihelion deviation tracker (DOI 10.6084/m9.figshare.30546008)</b> – observational record confirming the first deviation.This new record merges the verified residuals and four pending outbound predictions into one <b>Validation Record II</b>, demonstrating that measurable ΔRA, ΔDec, and Δv shifts follow deterministic compression-corridor dynamics within the solar baryonic field.<br>It serves as a public timestamp of predictive success and the continuing test window through December 2025.
DOI: 10.6084/m9.figshare.30556721.v1
title: 3I/ATLAS (C/2025 N1) — Confirmed and Forecasted Trajectory Deviations (Baryonic Matter Physics Validation Record

description: This dataset consolidates all <b>confirmed and forecasted trajectory deviations</b> of interstellar object <b>3I/ATLAS (C/2025 N1)</b> predicted and later verified within the <b>Baryonic Matter (BM) Physics framework</b>.<br>It combines three prior stages of documentation:<b>Pre-perihelion forecast (DOI 10.6084/m9.figshare.29936516)</b> – initial prediction dataset establishing priority.<b>Outbound forecast framework (DOI 10.6084/m9.figshare.30511304)</b> – tabulated event schedule (Nov 6 – Dec 7 2025).<b>Post-perihelion deviation tracker (DOI 10.6084/m9.figshare.30546008)</b> – observational record confirming the first deviation.This new record merges the verified residuals and four pending outbound predictions into one <b>Validation Record II</b>, demonstrating that measurable ΔRA, ΔDec, and Δv shifts follow deterministic compression-corridor dynamics within the solar baryonic field.<br>It serves as a public timestamp of predictive success and the continuing test window through December 2025.
DOI: 10.15468/dl.c38f27
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Coelogyne rigida"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020230-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17544410
title: Spatial point datasets for testing Distance-Based Join Queries

description: This collection contains several spatial point datasets obtained by extracting and/or pre-processing data from public sources and used for testing distributed join queries.



The "large" and "medium" datasets were generated from the "OpenStreetMap - Old datasets" collection available at http://spatialhadoop.cs.umn.edu/datasets.html



Ahmed Eldawy and Mohamed F. Mokbel, "SpatialHadoop: A MapReduce Framework for Spatial Data", In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April, 2015



The "small" datasets were generated directly from OpenStreetMap data by extracting points according to common labels.
DOI: 10.5281/zenodo.17544411
title: Spatial point datasets for testing Distance-Based Join Queries

description: This collection contains several spatial point datasets obtained by extracting and/or pre-processing data from public sources and used for testing distributed join queries.



The "large" and "medium" datasets were generated from the "OpenStreetMap - Old datasets" collection available at http://spatialhadoop.cs.umn.edu/datasets.html



Ahmed Eldawy and Mohamed F. Mokbel, "SpatialHadoop: A MapReduce Framework for Spatial Data", In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April, 2015



The "small" datasets were generated directly from OpenStreetMap data by extracting points according to common labels.
DOI: 10.15468/dl.agvyvk
title: Occurrence Download

description: A dataset containing 3174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.16_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 3174 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020236-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.