cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.87m3xq
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 (Ptilinopus roseicapilla (R.Lesson, 1831))",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015432-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4j3qda
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrastes bonasia",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048949-250811113504898/datasets/export for details.
DOI: 10.15468/dl.j76g5a
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene chalcedonica",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048952-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhuazw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene chalcedonica",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048950-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbpged
title: Occurrence Download

description: A dataset containing 120734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.67719 4.23996,-72.88573 4.00163,-73.02476 3.77322,-72.90559 3.6044,-72.73677 3.38593,-72.5183 3.40579,-72.12107 3.39586,-71.68413 3.46537,-71.06843 3.52496,-70.84995 3.68385,-70.73078 3.90232,-70.75065 4.3492,-71.25711 4.68684,-71.95225 4.5776,-72.67719 4.23996))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 120734 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006984-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53quwf
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.93495 47.26654,47.90757 47.26654,47.90757 61.52667,24.93495 61.52667,24.93495 47.26654))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corynephorus canescens (L.) P.Beauv."
 ]
}

 The dataset includes 715 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006991-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/xeiqqu
title: Readability and Stakeholder Relevance of ESG Disclosures

description: This data was use to investigate the impact of the European Union’s Corporate Sustainability Reporting Directive (CSRD) on the quality and stakeholder relevance of ESG disclosures
DOI: 10.5281/zenodo.11378194
title: Global and regional distribution of brGDGTs proxies in soil and peats across elevation and latitudinal transects

description: The supplementary tables present data on the distribution of brGDGT proxies, environmental and soil parameters measured in soil samples collected across the western Himalaya, as well as brGDGT proxy distributions and environmental parameters for global latitudinal soils, global elevation soils, and global peat samples.
DOI: 10.15468/dl.muajhd
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus hystrix DC.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 276 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012766-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.catuvv
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sapindus trifoliatus L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 108 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009360-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21242/22421.2021.00.02.1.1.0
title: Statistik über die Empfänger von Pflegeleistungen 2021, On-Site, Version 0

description: Die Pflegestatistik ist eine seit dem Berichtsjahr 1999 in zweijährigem Abstand durchgeführte Totalerhebung und gliedert sich in die Statistiken über ambulante Pflegeeinrichtungen und teil- und vollstationäre Pflegeeinrichtungen sowie die Statistik über die Empfänger von Pflegeleistungen. Befragt werden Pflegeeinrichtungen bzw. die Spitzenverbände der gesetzlichen Pflegekassen und der Verband der privaten Kranken- bzw. Pflegeversicherung. Diese Daten erlauben es, Nachfrage und Entwicklungen in der pflegerischen Versorgung zu erkennen und dienen somit als Planungsgrundlage der pflegerischen Versorgungsstruktur aber auch der Fortentwicklung des Pflegeversicherungsgesetzes. Wissenschaftliche Fragestellungen, beispielsweise über die relevanten Einflüsse auf das Preisniveau von Pflegeheimen oder die Entwicklung der Pflegebedürftigkeit, können regional differenziert untersucht werden. Zu den Pflegebedürftigen werden Angaben über Geschlecht, Geburtsjahr und Grad der Pflegebedürftigkeit (Pflegegrad) erhoben. Die ambulanten Pflegeeinrichtungen bieten zusätzlich Informationen über die Art des Pflegedienstes, deren Trägerschaft sowie die im Pflegedienst tätigen Personen nach Geschlecht, Beschäftigungsverhältnis, Tätigkeitsbereich und Berufsabschluss, die ausschließlich Leistungen nach SGB XI erbringen. Die stationären Pflegeeinrichtungen liefern außerdem Informationen über die Art des Pflegeheimes, Zahl der verfügbaren Pflegeplätze, die Art der in Anspruch genommenen Pflegeleistungen und das an die Pflegeeinrichtung zu zahlende Entgelt für die Pflegeleistung und für die Unterkunft und Verpflegung nach Pflegegraden. Ein hoher Anteil von Pflegebedürftigen wird weder ambulant noch stationär betreut. Daher werden in der Statistik über die Empfänger von Pflegegeldleistungen Angaben über die häusliche Pflege erhoben.
Es handelt sich hier um einen standardisierten Datensatz, der unter den Bundesländern für die Pflegestatistik mit bestimmten Merkmalen abgestimmt wurde, um als dauerhaftes Datenangebot bei den Forschungsdatenzentren zur Verfügung zu stehen.
DOI: 10.15468/dl.uyx56f
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Ferula bungeana Kitag."
 ]
}

 The dataset includes 245 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000975-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jb2fc
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.30_1",
 "TaxonKey is Clanga clanga (Pallas, 1811)"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006494-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axx7fw
title: Occurrence Download

description: A dataset containing 30151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum mauritianum Scop."
 ]
}

 The dataset includes 30151 records from 351 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006509-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5bgye
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia stricta",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024428-250811113504898/datasets/export for details.
DOI: 10.15468/dl.6wjeys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia stricta",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024429-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.18315746
title: C.E.R.B.E.R.U.S.™ Chief Executive Resilience & Board Entitlement Reinforcement Ultra-Structure A Doctrine-Grade Governance Architecture for Executive Authority Continuity in Post-IPO and Regulated Enterprises

description:  



Final Zenodo Description (Restricted Access | International Gold Standard)

This repository contains a foundational governance doctrine and six strategically structured add-on modules, collectively forming a high-integrity intellectual framework for post-conventional institutional leadership, board symmetry, and succession-stable authority design in complex enterprises.

The Main Doctrine PDF presents the core architecture: a non-operational, non-jurisdictional structural doctrine that reframes authority, governance continuity, narrative control, and risk symmetry beyond traditional board-centric or personality-dependent models. It defines principles, not instructions, and is designed to remain valid across regulatory regimes, market cycles, and leadership transitions.

The six Add-On PDFs function as modular extensions, each addressing a distinct decision-maker concern while preserving confidentiality and legal insulation:



Scope Boundary Declaration — Clearly demarcates interpretive, legal, and operational limits to prevent misclassification as legal advice or governance manipulation.

Use-Case Archetypes (Non-Specific) — Abstract leadership and enterprise archetypes enabling executive self-recognition without reference to any real entity.

Doctrine vs. Conventional Governance Matrix — A comparative structural clarity tool for boards, advisors, and institutional reviewers.

Failure-Cost Index (Narrative Analysis) — A non-quantitative, high-level examination of leadership failure consequences to anchor strategic valuation.

Integration Readiness Checklist — A decision-confidence framework assessing organizational preparedness without prescribing implementation steps.

Doctrine Lineage Statement — Positions the framework as an inevitable evolution emerging from institutional governance theory, regulatory asymmetry patterns, post-IPO failure dynamics, and narrative economics.


This collection is intentionally released under restricted access for scholarly evaluation, institutional review, and strategic due diligence only.It does not provide legal advice, regulatory guidance, fiduciary instruction, or implementation directives.

Any form of commercial use, enterprise deployment, board-level integration, training application, derivative framework development, or monetization requires a separate licensing agreement with the author.

This work is intended for CEOs, board chairs, institutional advisors, regulators-in-observation, sovereign-linked enterprises, post-IPO leadership teams, and high-stakes governance environments seeking structural continuity without personalization risk.
DOI: 10.5281/zenodo.18315747
title: C.E.R.B.E.R.U.S.™ Chief Executive Resilience & Board Entitlement Reinforcement Ultra-Structure A Doctrine-Grade Governance Architecture for Executive Authority Continuity in Post-IPO and Regulated Enterprises

description:  



Final Zenodo Description (Restricted Access | International Gold Standard)

This repository contains a foundational governance doctrine and six strategically structured add-on modules, collectively forming a high-integrity intellectual framework for post-conventional institutional leadership, board symmetry, and succession-stable authority design in complex enterprises.

The Main Doctrine PDF presents the core architecture: a non-operational, non-jurisdictional structural doctrine that reframes authority, governance continuity, narrative control, and risk symmetry beyond traditional board-centric or personality-dependent models. It defines principles, not instructions, and is designed to remain valid across regulatory regimes, market cycles, and leadership transitions.

The six Add-On PDFs function as modular extensions, each addressing a distinct decision-maker concern while preserving confidentiality and legal insulation:



Scope Boundary Declaration — Clearly demarcates interpretive, legal, and operational limits to prevent misclassification as legal advice or governance manipulation.

Use-Case Archetypes (Non-Specific) — Abstract leadership and enterprise archetypes enabling executive self-recognition without reference to any real entity.

Doctrine vs. Conventional Governance Matrix — A comparative structural clarity tool for boards, advisors, and institutional reviewers.

Failure-Cost Index (Narrative Analysis) — A non-quantitative, high-level examination of leadership failure consequences to anchor strategic valuation.

Integration Readiness Checklist — A decision-confidence framework assessing organizational preparedness without prescribing implementation steps.

Doctrine Lineage Statement — Positions the framework as an inevitable evolution emerging from institutional governance theory, regulatory asymmetry patterns, post-IPO failure dynamics, and narrative economics.


This collection is intentionally released under restricted access for scholarly evaluation, institutional review, and strategic due diligence only.It does not provide legal advice, regulatory guidance, fiduciary instruction, or implementation directives.

Any form of commercial use, enterprise deployment, board-level integration, training application, derivative framework development, or monetization requires a separate licensing agreement with the author.

This work is intended for CEOs, board chairs, institutional advisors, regulators-in-observation, sovereign-linked enterprises, post-IPO leadership teams, and high-stakes governance environments seeking structural continuity without personalization risk.
DOI: 10.15468/dl.xgkfvy
title: Occurrence Download

description: A dataset containing 19618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Eurycea bislineata",
 "Country is United States of America",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 19618 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000077-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399nb1m
title: INFERRING GENETIC ARCHITECTURE OF COMPLEX TRAITS IN ADMIXED POPULATIONS
DOI: 10.5281/zenodo.17559692
title: SMELLDroid: A Dataset for Code Smells in Android Apps

description: SMELLDroid is a large-scale dataset designed to support empirical research on software quality and maintainability within the Android ecosystem. The dataset comprises 38,704 Android applications, including 29,201 malware samples and 9,503 benign apps, analyzed using a static analysis pipeline to identify and quantify code smells.

SMELLDroid captures seven distinct code smell types, encompassing four object-oriented smells (Blob Class, Complex Class, Long Method, Swiss Army Knife) and three Android-specific smells (Heavy AsyncTask, Heavy Broadcast Receiver, Heavy Service). For each application, quantitative indicators describe the presence and frequency of these smells, enabling systematic measurement and comparison across large app populations.

The dataset supports research on code smell prevalence, relationships among smell categories, software quality analysis, and comparative studies of maintainability characteristics between benign and malicious Android applications.

If you use this dataset, please cite the associated paper describing the SMELLDroid dataset.

@inproceedings{SMELLDroid,      author={Joyce Champie, Karim Elish, and Mahmoud Elish},      booktitle={23rd IEEE/ACM International Conference on Mining Software Repositories (MSR)},      title={SMELLDroid: A Dataset for Code Smells in Android Apps},       year={2026}}

 

App and Malware Access Information:

The apps and malware samples referenced in this dataset are real-world Android applications. To adhere to research ethics guidelines and comply with data sharing and redistribution policies, we do not directly distribute APK files. Instead, researchers are required to obtain the applications through the official AndroZoo repository and/or Drebin. 

AndroZoo: https://androzoo.uni.lu/

Drebin: https://drebin.mlsec.org/

Usage Instructions:



Request access to the repository by following the instructions provided on the official website.

Use the cryptographic hash values (e.g., SHA-256) included in our dataset to retrieve the corresponding application samples from the repository.
DOI: 10.5281/zenodo.17559693
title: SMELLDroid: A Dataset for Code Smells in Android Apps

description: SMELLDroid is a large-scale dataset designed to support empirical research on software quality and maintainability within the Android ecosystem. The dataset comprises 38,704 Android applications, including 29,201 malware samples and 9,503 benign apps, analyzed using a static analysis pipeline to identify and quantify code smells.

SMELLDroid captures seven distinct code smell types, encompassing four object-oriented smells (Blob Class, Complex Class, Long Method, Swiss Army Knife) and three Android-specific smells (Heavy AsyncTask, Heavy Broadcast Receiver, Heavy Service). For each application, quantitative indicators describe the presence and frequency of these smells, enabling systematic measurement and comparison across large app populations.

The dataset supports research on code smell prevalence, relationships among smell categories, software quality analysis, and comparative studies of maintainability characteristics between benign and malicious Android applications.

If you use this dataset, please cite the associated paper describing the SMELLDroid dataset.

@inproceedings{SMELLDroid,      author={Joyce Champie, Karim Elish, and Mahmoud Elish},      booktitle={23rd IEEE/ACM International Conference on Mining Software Repositories (MSR)},      title={SMELLDroid: A Dataset for Code Smells in Android Apps},       year={2026}}

 

App and Malware Access Information:

The apps and malware samples referenced in this dataset are real-world Android applications. To adhere to research ethics guidelines and comply with data sharing and redistribution policies, we do not directly distribute APK files. Instead, researchers are required to obtain the applications through the official AndroZoo repository and/or Drebin. 

AndroZoo: https://androzoo.uni.lu/

Drebin: https://drebin.mlsec.org/

Usage Instructions:



Request access to the repository by following the instructions provided on the official website.

Use the cryptographic hash values (e.g., SHA-256) included in our dataset to retrieve the corresponding application samples from the repository.
DOI: 10.25549/usctheses-ouc11399nb1o
title: Open-Ended Training of Adaptive Agents
DOI: 10.11588/duerer.online.696faf6f9bbd1
title: Ein Mörser auf einer Lafette, http://d-nb.info/gnd/1195729138
DOI: 10.15468/dl.ympuur
title: Occurrence Download

description: A dataset containing 303778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "MediaType is Audio",
 "Month is one of (April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 303778 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002965-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399nb38
title: Competition, Weather, and Spatial Price Dispersion in Indian Agricultural Mandis
DOI: 10.25549/usctheses-ouc11399nb3h
title: Rethinking MRI Reconstruction for Optimal Image Quality in the Age of AI.
DOI: 10.15468/dl.yenyxw
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azemiops feae"
 ]
}

 The dataset includes 155 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000078-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399nb39
title: The Role of The Cerebellum in Motor Learning in Parkinsonâ€™s Disease: CMon PD
DOI: 10.15468/dl.rrzz9m
title: Occurrence Download

description: A dataset containing 2620 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Copepodos Chile"
 ]
}

 The dataset includes 2620 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000079-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399nb3g
title: Using Acceptance and Commitment Training to Increase the Frequency of Role-Played Positive Interactions within an ABA Clinic.
DOI: 10.25549/usctheses-ouc11399nb3f
title: The Revenant: A New Hope
DOI: 10.25549/usctheses-ouc11399nb1k
title: Towards In Lak'ech Cultural Continuity; Principles for Latinx Indigenous College Student Identity Development
DOI: 10.5281/zenodo.18315610
title: Literature Analysis Dataset for the Smart Systems Taxonomy Study
DOI: 10.5281/zenodo.18316329
title: Literature Analysis Dataset for the Smart Systems Taxonomy Study