cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gwpgk4
title: Occurrence Download

description: A dataset containing 357498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinopium benghalense"
 ]
}

 The dataset includes 357498 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008176-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb3kbh
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Embelia floribunda",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 362 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008231-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18605634
title: CARINA_Final selection_3.1.2

description: The Excel file reports the final selection of indicators resulting from the two-round Delphi survey conducted in task 3.1 of the CARINA project. For each of the four sustainability targets (economic, social, environmentaland integration), the ten highest-ranked indicators were selected.  




For each indicator, the following information is reported: 








Name 










Reference unit 










Short description
DOI: 10.5281/zenodo.18605633
title: CARINA_Final selection_3.1.2

description: The Excel file reports the final selection of indicators resulting from the two-round Delphi survey conducted in task 3.1 of the CARINA project. For each of the four sustainability targets (economic, social, environmentaland integration), the ten highest-ranked indicators were selected.  




For each indicator, the following information is reported: 








Name 










Reference unit 










Short description
DOI: 10.5281/zenodo.18608619
title: Neural reinstatement of features in audiovisual working memory indicates object-based retrieval-second part of the EEG data

description: The second half of the EEG datasets of the corresponding study. The first part of the data can be found here: DOI 10.5281/zenodo.18460390.
DOI: 10.5281/zenodo.18608618
title: Neural reinstatement of features in audiovisual working memory indicates object-based retrieval-second part of the EEG data

description: The second half of the EEG datasets of the corresponding study. The first part of the data can be found here: DOI 10.5281/zenodo.18460390.
DOI: 10.15468/dl.b7hhne
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cipura campanulata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 340 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008233-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59du7u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Rhinoptilus bitorquatus",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is 2000",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008234-260208012135463/datasets/export for details.
DOI: 10.15468/nioqsd
title: ZUEC-MYX - Coleção de Myxozoa do Museu de Zoologia da UNICAMP

description: A coleção de Myxozoa do Museu de Zoologia &#147;Prof. Adão José Cardoso&#148; da Universidade Estadual de Campinas (UNICAMP) conta, atualmente, com cerca de 30 lâminas histológicas e 1 (um) lote conservado em via úmida (álcool 70%). Os exemplares são provenientes dos estados de São Paulo, Goiás e Mato Grosso (Sudeste e Centro-Oeste do Brasil). O processo de catalogação e informatização da coleção está em andamento e está sendo utilizado o gerenciador de banco de dados MS-Access. A maior parte do acervo constitui a coleção científica, destinada principalmente ao atendimento de pesquisadores interessados no estudo dos Myxozoa.
DOI: 10.15468/xihyn4
title: ZUEC-ARA - Coleção de Aracnideos do Museu de Zoologia da UNICAMP

description: A coleção de Arachnida do Museu de Zoologia "Prof. Adão José Cardoso" da Universidade Estadual de Campinas (UNICAMP) conta, atualmente, com cerca de 1000 lotes e aproximadamente 3000 exemplares catalogados e cerca de 1000 exemplares não catalogados. O material está conservado em via úmida (álcool 70%). Os exemplares são provenientes de diversas regiões do Brasil (principalmente Sudeste). Essa coleção vem sendo constituída principalmente por pesquisadores e professores da Unicamp. O processo de catalogação e informatização da coleção está em andamento e está sendo utilizado o gerenciador de banco de dados MS-Access. A maior parte do acervo constitui a coleção científica, destinada principalmente ao atendimento de pesquisadores interessados no estudo dos Arachnida. Também está disponível à consulta por parte de estudantes de graduação e pós-graduação. O acervo conta ainda com coleções de empréstimo, troca e didática.
DOI: 10.15468/dl.r2tfbd
title: Occurrence Download

description: A dataset containing 4626 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Boerhavia erecta"
 ]
}

 The dataset includes 4626 records from 248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008235-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naq7ag
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astroblepus praeliorum",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008236-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxhwzg
title: Occurrence Download

description: A dataset containing 88644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alligator mississippiensis, Alligator sinensis, Caiman crocodilus, Caiman yacare, Caiman latirostris, Melanosuchus niger, Paleosuchus palpebrosus, Paleosuchus trigonatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 88644 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008161-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyhnnn
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cobana guatemalensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008239-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9ga23
title: Occurrence Download

description: A dataset containing 1190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Embelia ribes",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1190 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008237-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14284/681
title: Global Cyperaceae Database. Accessed at https://www.cyperaceae.org on yyyy-mm-dd

description: Cyperaceae are one of the ten largest plant families in the world. The Global Cyperaceae Database (GCypD) is built on the World Checklist of Vascular Plants which has been imported to the Aphia platform of the World Register of Marine Species through World Flora Online (WFO). The international WFO Taxonomic Expert Network (TEN) for Cyperaceae will assess, edit and update the taxonomic information for this important family.
description: Datasets for the Cyperaceae from across the world were integrated in the Global Cyperaceae Database from 2023 onwards. Names were matched using POWO as initial reference. Entries were completed to differing levels by different authors (see authorship at the bottom of the corresponding data page). Distribution data originally compiled from POWO. Taxonomic concepts were initially derived from the data sources and updated according to subsequent treatments and under the criterion of the author in charge of the corresponding taxon.
DOI: 10.15468/dl.w9bcaz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Podiceps taczanowskii",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is 2000",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008238-260208012135463/datasets/export for details.
DOI: 10.15468/dl.7xb5db
title: Occurrence Download

description: A dataset containing 112177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 112177 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008183-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed5pnv
title: Occurrence Download

description: A dataset containing 66117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonicera japonica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 66117 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008196-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8z4nz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astroblepus prenadillus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008240-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e245081
title: College of Nursing Sciences, OAUTHC, WGH, Ilesa, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110)

description: College of Nursing Sciences, OAUTHC, WGH, Ilesa, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (08058556110) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The Senior Secondary School Certificate Or It’s Equivalent With Five Credits To Include English Language And Either Physics, Chemistry, Biology/Health Science At Not More Than Two sittings. Duration Of Training: Three Calendar Years. Registered Nurse (RN) Also POST BASIC NURSING MIDWIFERY PROGRAMME Admission Requirements: The Candidate Must Be a Registered Nurse, Five (O,Level) Credits Not More Two Sittings And Must Also Meet All institutional Requirements. Duration of Training: Two Calendar Year.{08058556110}
DOI: 10.15468/dl.scjh8v
title: Occurrence Download

description: A dataset containing 353 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Boerhavia gracillima"
 ]
}

 The dataset includes 353 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008241-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ajkm5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Laterallus tuerosi",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is 2000",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008242-260208012135463/datasets/export for details.
DOI: 10.14284/749
title: World List of Octocorallia. Accessed at https://www.marinespecies.org/octocorallia/ on yyyy-mm-dd.

description: A world checklist of Octocorallia, compiled by taxonomic experts and based on peer-reviewed literature.
description: This World List of Octocorallia is part of the World Register of Marine Species (WoRMS), a global initiative to provide an online register of scientific names of all marine organisms. In this continuously updated list, users can find the current taxonomic classification of octocorals, with valid and invalid names of taxa, their distributions, literature and historical citations.

This list started as a contribution to UNESCO-IOC Register of Marine Organisms by L.P. van Ofwegen, S.D. Cairns & J. van der Land (eds) (2000-2007). Originally maintained by L.P. van Ofwegen as a list of valid octocoral species, since 2019 it has been revised and updated to include all valid and invalid names of taxa with links to original descriptions and other taxonomic literature.
DOI: 10.15468/dl.jrns5k
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Codonorhiza corymbosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 131 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008244-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18608918
title: СПОРТ ГИМНАСТИКАЧИЛАРНИНГ ЖИСМОНИЙ ТАЙЁРГАРЛИГИНИ ОШИРИШДА ЮКЛАМАЛАРНИНГ АҲАМИЯТИ

description: Гимнастикачиларнинг эгиливчанлигини ривожлантириш учун машқлар мажмуаси ишлаб чиқилган. Спорт гимнастикада дастлабки тайёргарлик босқичида эгилувчанликни ривожлантириш муҳим қисмлардан биридир. Егиливчанлигик муҳим психофизик сифат бўлиб, у тезлик, куч, чидамлилик, эпчиллик билан биргаликда инсоннинг морфофункционал биологик хусусиятларида ўз таърифини топади.
DOI: 10.17632/65rr7t6z4d
title: REGULATION OF ARTIFICIAL INTELLIGENCE: BETWEEN THE SWITCH AND INNOVATION – IS BRAZIL PREPARED? Supplementary Material: Detailed Document Selection and Coding Protocol

description: This dataset -Supplementary Material A: Detailed Document Selection and Coding Protocol from the study “Regulation of Artificial Intelligence: Between the Switch and Innovation – Is Brazil Prepared?” — provides a systematically organized corpus of 52 official and analytical documents on AI governance across eight jurisdictions: Brazil (focal case), European Union, United States, United Kingdom, India, Chile, Mexico, and China.
The dataset was constructed through a transparent five-phase retrieval process involving government portals, legal databases, regulatory repositories, and cross-referenced citation tracking. Inclusion criteria ensured institutional relevance, public accessibility, temporal validity (2018–2025), and thematic focus on AI governance. Documents were selected from governmental, regulatory, academic, civil society, and media sources to ensure multi-perspective representation. Weighting schemes (e.g., 60% government vs. 40% independent sources) adjusted for jurisdictional disparities in data availability.
Each document was coded in MAXQDA using a hierarchical framework grounded in Lawrence Lessig’s four regulatory modalities — law, architecture, market, and social norms — complemented by institutional theory, economic regulation, and OECD’s Regulatory Impact Assessment (RIA) methodology. Subcodes captured compliance mechanisms, risk classification, incentives, fairness, and governance coordination. Inter-coder reliability was established through double-coding and reconciliation logs, with triangulation across institutional types.
The dataset’s central table (Table SP1, pp. 4–11) classifies all documents by country, source institution, document title, and type (legal, regulatory, strategic, analytical, or media). For Brazil, ten documents cover Bill 2338/2023, ANPD technical notes, civil-society assessments (e.g., Data Privacy Brasil, CGI.br), and media commentary. The EU section lists six foundational sources including the AI Act, GDPR, and Ethics Guidelines for Trustworthy AI. The U.S. subset includes the AI Bill of Rights, NIST’s AI Risk Management Framework, and executive policy orders. The UK materials span the National AI Strategy and AI Regulation White Paper (2023). Comparable sets exist for India (NITI Aayog frameworks), Chile (MinCiencia 2024 policy updates), Mexico (Agenda IA 2030 and INAI guidelines), and China (CAC regulations and MIIT standards).
Analytically, the dataset supports comparative cross-country evaluation of regulatory architectures, innovation incentives, and societal norms shaping AI governance. Brazil’s expanded corpus enabled a detailed OECD-style RIA of Bill 2338/2023, assessing problem definition, policy alternatives, stakeholder impacts, feasibility, and cost–benefit distribution. Validation procedures included expert reviews and cross-benchmarking with OECD and ECLAC reports.
DOI: 10.17632/65rr7t6z4d.1
title: REGULATION OF ARTIFICIAL INTELLIGENCE: BETWEEN THE SWITCH AND INNOVATION – IS BRAZIL PREPARED? Supplementary Material: Detailed Document Selection and Coding Protocol

description: This dataset -Supplementary Material A: Detailed Document Selection and Coding Protocol from the study “Regulation of Artificial Intelligence: Between the Switch and Innovation – Is Brazil Prepared?” — provides a systematically organized corpus of 52 official and analytical documents on AI governance across eight jurisdictions: Brazil (focal case), European Union, United States, United Kingdom, India, Chile, Mexico, and China.
The dataset was constructed through a transparent five-phase retrieval process involving government portals, legal databases, regulatory repositories, and cross-referenced citation tracking. Inclusion criteria ensured institutional relevance, public accessibility, temporal validity (2018–2025), and thematic focus on AI governance. Documents were selected from governmental, regulatory, academic, civil society, and media sources to ensure multi-perspective representation. Weighting schemes (e.g., 60% government vs. 40% independent sources) adjusted for jurisdictional disparities in data availability.
Each document was coded in MAXQDA using a hierarchical framework grounded in Lawrence Lessig’s four regulatory modalities — law, architecture, market, and social norms — complemented by institutional theory, economic regulation, and OECD’s Regulatory Impact Assessment (RIA) methodology. Subcodes captured compliance mechanisms, risk classification, incentives, fairness, and governance coordination. Inter-coder reliability was established through double-coding and reconciliation logs, with triangulation across institutional types.
The dataset’s central table (Table SP1, pp. 4–11) classifies all documents by country, source institution, document title, and type (legal, regulatory, strategic, analytical, or media). For Brazil, ten documents cover Bill 2338/2023, ANPD technical notes, civil-society assessments (e.g., Data Privacy Brasil, CGI.br), and media commentary. The EU section lists six foundational sources including the AI Act, GDPR, and Ethics Guidelines for Trustworthy AI. The U.S. subset includes the AI Bill of Rights, NIST’s AI Risk Management Framework, and executive policy orders. The UK materials span the National AI Strategy and AI Regulation White Paper (2023). Comparable sets exist for India (NITI Aayog frameworks), Chile (MinCiencia 2024 policy updates), Mexico (Agenda IA 2030 and INAI guidelines), and China (CAC regulations and MIIT standards).
Analytically, the dataset supports comparative cross-country evaluation of regulatory architectures, innovation incentives, and societal norms shaping AI governance. Brazil’s expanded corpus enabled a detailed OECD-style RIA of Bill 2338/2023, assessing problem definition, policy alternatives, stakeholder impacts, feasibility, and cost–benefit distribution. Validation procedures included expert reviews and cross-benchmarking with OECD and ECLAC reports.
DOI: 10.17632/tttm3tzzcs
title: Strategic income shifting in uncertain times (Synthetic data)

description: This is a replication package for this paper: Strategic income shifting in uncertain times: Insights from economic policy uncertainty (Synthetic data)
DOI: 10.17632/tttm3tzzcs.1
title: Strategic income shifting in uncertain times (Synthetic data)

description: This is a replication package for this paper: Strategic income shifting in uncertain times: Insights from economic policy uncertainty (Synthetic data)
DOI: 10.17632/gnvknhpy92
title: Does mesh surgery alter oxidative stress levels in patients with pelvic organ prolapse

description: Data included in a study Does mesh surgery alter oxidative stress levels in patients with pelvic organ prolapse?
Study is focused on the change of oxidative stress markers after pelvic organ prolapse surgery.
DOI: 10.17632/gnvknhpy92.1
title: Does mesh surgery alter oxidative stress levels in patients with pelvic organ prolapse

description: Data included in a study Does mesh surgery alter oxidative stress levels in patients with pelvic organ prolapse?
Study is focused on the change of oxidative stress markers after pelvic organ prolapse surgery.
DOI: 10.3535/9an-0j0-x0p
title: Monacha cantiana (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.