cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14827430
title: [Tweets] 2022 Brazilian Presidential Elections

description: 2022 Brazilian Presidential Election

This dataset contains 7,015,186 tweets from 951,602 users, extracted using 91 search terms over 36 days between August 1st and December 31st, 2022.

All tweets in this dataset are in Brazilian Portuguese.

Data Usage

The dataset contains textual data from tweets, making it suitable for various NLP analyses, such as sentiment analysis, bias or stance detection, and toxic language detection. Additionally, users and tweets can be linked to create social graphs, enabling Social Network Analysis (SNA) to study polarization, communities, and other social dynamics. 

Extraction Method

This data set was extracted using Twitter's (now X) official API—when Academic Research API access was still available—following the pipeline:

1. Twitter/X daily monitoring: The dataset author monitored daily political events appearing in Brazil's Trending Topics. Twitter/X has an automated system for classifying trending terms. When a term was identified as political, it was stored along with its date for later use as a search query.   2. Tweet collection using saved search terms:  Once terms and their corresponding dates were recorded, tweets were extracted from 12:00 AM to 11:59 PM on the day the term entered the Trending Topics. A language filter was applied to select only tweets in Portuguese. The extraction was performed using the official Twitter/X API.   3. Data storage: The extracted data was organized by day and search term. If the same search term appeared in Trending Topics on consecutive days, a separate file was stored for each respective day.

Further Information

For more details, visit:

- The repository- Dataset short paper:

---

DOI: 10.5281/zenodo.14834749
DOI: 10.5281/zenodo.14834749
title: [Tweets] 2022 Brazilian Presidential Elections

description: 2022 Brazilian Presidential Election

This dataset contains 7,015,186 tweets from 951,602 users, extracted using 91 search terms over 36 days between August 1st and December 31st, 2022.

All tweets in this dataset are in Brazilian Portuguese.

Data Usage

The dataset contains textual data from tweets, making it suitable for various NLP analyses, such as sentiment analysis, bias or stance detection, and toxic language detection. Additionally, users and tweets can be linked to create social graphs, enabling Social Network Analysis (SNA) to study polarization, communities, and other social dynamics. 

Extraction Method

This data set was extracted using Twitter's (now X) official API—when Academic Research API access was still available—following the pipeline:

1. Twitter/X daily monitoring: The dataset author monitored daily political events appearing in Brazil's Trending Topics. Twitter/X has an automated system for classifying trending terms. When a term was identified as political, it was stored along with its date for later use as a search query.   2. Tweet collection using saved search terms:  Once terms and their corresponding dates were recorded, tweets were extracted from 12:00 AM to 11:59 PM on the day the term entered the Trending Topics. A language filter was applied to select only tweets in Portuguese. The extraction was performed using the official Twitter/X API.   3. Data storage: The extracted data was organized by day and search term. If the same search term appeared in Trending Topics on consecutive days, a separate file was stored for each respective day.

Further Information

For more details, visit:

- The repository- Dataset short paper:

---

DOI: 10.5281/zenodo.14834749
DOI: 10.15468/dl.ka3x6x
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lantana camara",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000960-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpzs5s
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, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calidris minutilla)",
 "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 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000961-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82551/prdy-d115
title: Website Traffic Visits
DOI: 10.82551/w48z-mf41
title: Website Traffic Visits
DOI: 10.34740/kaggle/dsv/12443364
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.jxbpm5
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Cryptoheros chetumalensis"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000962-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzsm72
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dactyloa"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000963-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18128/d016.v1.2
title: IPUMS Multigenerational Longitudinal Panel: Version 1.2

description: The IPUMS Multigenerational Longitudinal Panel project links individuals' records between full count censuses from 1850 to 1940. IPUMS disseminates full count census enumerations for nine census years from 1850 to 1940. These full count data, covering almost 700 million individual records, are the fruit of collaboration between IPUMS and world's two largest genealogical organizations --Ancestry.com and FamilySearch-- to leverage genealogical data for scientific purposes. Full count data have opened the possibility of automated record linkages across census years to construct millions of individual life histories and trace millions of families over multiple generations. This version of IPUMS MLP links individuals between adjacent censuses, identifying the person across a chain of census years where possible. The linking strategy was the same as Version 1.0. This version differs from version 1.0 in using updated versions of the full count census data. In addition, small changes were implemented in the linking code, including i) an updated name standardization file, and ii) census-specific inter-county and state distance files. The software that calculates name similarity was also updated, producing additional minor changes. This is the first version of MLP to be available through the IPUMS USA data access system; the links are also available as crosswalk files.
DOI: 10.15468/dl.xnpys5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brongniartia cordata"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000965-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvex38
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Croton bonplandianus",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000966-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy88m9
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brongniartia alamosana"
 ]
}

 The dataset includes 127 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000964-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e72rsf
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brongniartia glabrata"
 ]
}

 The dataset includes 52 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000968-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1zcy4fr
title: Fish species occurrence data (HUC12) in Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island

description: This data release includes the results of state agency led electrofishing surveys conducted in lotic habitats in six states in the Northeastern U.S.: Maine, New Hampshire, Vermont, Massachusetts, Connecticut, and Rhode Island. The following state agencies collected the electrofishing data: Massachusetts Division of Fisheries & Wildlife, Vermont Department of Fish and Wildlife, Vermont Department of Environmental Conservation, Maine Department of Inland Fisheries & Wildlife, Rhode Island Department of Environmental Management, Connecticut Department of Energy and Environmental Protection, and New Hampshire Department of Fish and Game. The survey results are consolidated to a Hydrologic Unit Code (HUC)12 scale and includes surveys from November 1949 through December 2021 with most surveys occurring between 1985 and 2021. Fifty-three species and 24,553 surveys are represented in these data.

These data were analyzed in the manuscript:

Rogers, J.B., G.V. DiRenzo, R.M. Quiñones, T. Richards, A. H. Roy. 2025. Climate and land use drivers of freshwater fish biodiversity in the northeastern United States. Biological Conservation. https://doi.org/10.1016/j.biocon.2025.111337
DOI: 10.18738/t8/3pyja9
title: Indole profiles define disease-specific virulence in Fusobacterium nucleatum clinical isolates

description: This study investigates the metabolic and virulence characteristics of Fusobacterium nucleatum clinical isolates collected from colorectal cancer (CRC), Crohn’s disease, healthy individuals, and oral lesion. Focusing on the microbial metabolite indole and its derivatives—produced via tryptophan metabolism—the research demonstrates that CRC-associated F. nucleatum isolates produce significantly higher levels of indole. These isolates also exhibit distinct biofilm formation capacities and altered expression of virulence genes (e.g., fap2, fadA, aid1, radD) in response to indole exposure. Using machine learning classification based on gene expression profiles, the study shows that indole responsiveness can predict disease origin of isolates. The findings suggest that indole metabolism represents a niche-specific adaptation in CRC-associated F. nucleatum, with implications for understanding microbial contributions to cancer pathogenesis and potential therapeutic targeting.
DOI: 10.15468/dl.s6awt7
title: Occurrence Download

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

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000969-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujt685
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus niloticus niloticus"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000970-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qk4cq
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((95.27461 4.16673,96.96879 2.76558,98.0337 1.36278,99.48586 -0.62169,101.18004 -3.42716,102.87422 -4.97191,104.37477 -6.36876,105.39128 -6.36876,106.55301 -5.64667,106.16576 -2.02503,104.22956 -0.42808,103.93913 0.73362,101.32525 3.0073,97.88849 5.66173,95.80707 6.38379,94.69375 6.04695,94.06448 4.50459,95.27461 4.16673))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tragulus napu"
 ]
}

 The dataset includes 127 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000971-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3uvws
title: Occurrence Download

description: A dataset containing 2730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "DatasetKey is one of (Coleção de Herpetofauna do Museu de Zoologia da UEL, KUBI Herpetology Collection, Herpetology Collection - Instituto Nacional de Pesquisas da Amazônia, FNJV - Fonoteca Neotropical Jacques Vielliard, NMNH Extant Specimen Records (USNM, US), Museu Paraense Emílio Goeldi - Amphibia Collection, Occurrences in SinBiota, ZUEC-AMP - Coleção de Anfíbios do Museu de Zoologia da UNICAMP, Coleção Zoológica da Universidade Federal de Mato Grosso do Sul - Amphibia (ZUFMS-AMP))",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendropsophus nanus",
 "Year 1984-2025"
 ]
}

 The dataset includes 2730 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000972-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15865761
title: Dataset Supporting the Article "Regions of Climatic Stability for Neotropical Primates"

description: The occurrence data used in this study were originally collected by researcher Dr. Flávia de Figueiredo Machado as part of her independent scientific efforts. These data were used in the present analysis with her explicit authorization and full consent. The dataset was made available for academic purposes and served as a fundamental component of the research conducted by Thairik Mateus Silva Marques in the context of his Master's thesis. All uses of the data were carried out in accordance with ethical and scholarly standards, and proper attribution is duly acknowledged.
DOI: 10.15468/dl.8a6w4r
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000974-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15865760
title: Dataset Supporting the Article "Regions of Climatic Stability for Neotropical Primates"

description: The occurrence data used in this study were originally collected by researcher Dr. Flávia de Figueiredo Machado as part of her independent scientific efforts. These data were used in the present analysis with her explicit authorization and full consent. The dataset was made available for academic purposes and served as a fundamental component of the research conducted by Thairik Mateus Silva Marques in the context of his Master's thesis. All uses of the data were carried out in accordance with ethical and scholarly standards, and proper attribution is duly acknowledged.
DOI: 10.15468/dl.ks855a
title: Occurrence Download

description: A dataset containing 2427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Material sample, Material citation, Specimen, Fossil, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Nasua nasua",
 "Year 1950-2024"
 ]
}

 The dataset includes 2427 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000975-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29549600.v1
title: All data used for photoanalysis test

description: AbstractSignificanceDental implants (DI) are among the most effective solutions for restoring masticatory function in patients with tooth loss. The success of these implants often depends on selecting appropriate design parameters, such as length and diameter, to ensure optimal outcomes. Understanding how these variables influence load transfer to surrounding bone is essential for improving DI performance. AimThis study aimed to evaluate the effects of implant diameter and length on static load distribution to surrounding bone-mimicking material (BMM), using a novel and more accurate photoelastic testing method.ApproachEpoxy resin was used to replicate the mechanical behavior of bone under static load conditions. A total of 12 DI designs with varying lengths and diameters were tested, with three replicas each (n = 36). Polarized light was applied to the apex of each implant to detect intensity changes in the BMM under a 150 N static load and at rest.ResultsA significant correlation was found between implant diameter and load distribution (p &lt; 0.05). Wider implants showed more uniform load transfer, with 4.5 mm versus 5.5 mm diameter implants showing 2.47 times less polarized light change, and 4.5 mm versus 6.9 mm implants showing 18.38 times less. In contrast, implant length had no statistically significant impact on load distribution (p &gt; 0.05). The 6.9 mm diameter and longest implants transmitted the highest load to the BMM, while 11.5 mm length implants showed the lowest intensity change.Conclusions:Implant diameter has a greater impact than length on stress distribution to surrounding structures. Emphasizing diameter selection may enhance implant longevity and clinical success.Keywords: Dental implants, Bone mimicking material, Photoelastic analysis, Diameter, Length
DOI: 10.15468/dl.umpqbt
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "TaxonKey is Neopomacentrus cyanomos"
 ]
}

 The dataset includes 598 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000976-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arg9y3
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (MCP-Anfibios - Coleção de Anfíbios, ZUEC-AMP - Coleção de Anfíbios do Museu de Zoologia da UNICAMP, Occurrences in SinBiota, The Herpetology Collection at the Staatliches Museum für Naturkunde Stuttgart, Amphibian, Reptile Collection (MHNG-HERP) of Muséum d'histoire naturelle de la Ville de Genève, Tetrápodos de Uruguay, Coleção de Herpetofauna do Museu de Zoologia da UEL, FNJV - Fonoteca Neotropical Jacques Vielliard, Coleção Zoológica da Universidade Federal de Mato Grosso do Sul - Amphibia (ZUFMS-AMP))",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendropsophus sanborni",
 "Year 1984-2025"
 ]
}

 The dataset includes 472 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000978-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13903698
title: Metadata of MarginUp! datasets during 1st PR

description: Project Name: MarginUp! - Raising the Bio-based Industrial Feedstock Capacity of Marginal Lands

Description:

This metadata table provides detailed information about the datasets collected during the first 18 months of the MarginUp! project, which focuses on raising the bio-based industrial feedstock capacity of marginal lands. The project is dedicated to developing sustainable and circular value chains for producing bioproducts and biofuels from natural raw materials grown on marginal lands.

The datasets available in this first stage cover the following deliverables:



D1.2 Study on Stakeholders' Perspectives - Low ILUC Needs and Requirements

D2.1 RABIS (Resource Allocation and Biomass Information System)

D5.1 Stakeholder Analysis and Map for All Demo Cases


These datasets provide valuable insights into stakeholder perspectives, resource allocation systems, and stakeholder mapping for the project’s demonstration cases. Additional data will be uploaded in the next stages of the project as more deliverables are completed.

While this metadata table is openly available to the ZENODO community, users who are interested in accessing specific datasets can directly contact the project partners listed within the metadata. The contact persons are available to provide further details and facilitate access to the data, supporting researchers, policymakers, and stakeholders in utilizing these resources to enhance bio-based industries.