cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vqu3m3
title: Occurrence Download

description: A dataset containing 1505 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Selaginella heterostachys)"
 ]
}

 The dataset includes 1505 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009876-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw2n3g
title: Occurrence Download

description: A dataset containing 3273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.19388 51.09583,-114.18434 51.09583,-114.18434 51.10565,-114.19388 51.10565,-114.19388 51.09583))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3273 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009877-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fa89zx
title: Occurrence Download

description: A dataset containing 21952212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Human Observation, Observation, Machine Observation, Occurrence evidence, Material sample)",
 "Geometry POLYGON((-121.2581 33.79994,-119.04134 33.79994,-119.04134 35.2967,-121.2581 35.2967,-121.2581 33.79994))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21952212 records from 749 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009823-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bvwgj5wjcw.1
title: Perfluorooctane sulfonic acid (PFOS) perturbs skeletal muscle oxidative phosphorylation by a different mechanism than liver

description: We evaluated PFOS metabolic toxicity in skeletal muscle where not much is known and then compared it to liver metabolic toxicity as measured by bioaccumulation, sarcopenia (muscle loss), RIFS (Respirometry in Frozen Samples; OXPHOS in mitochondria), and RNAseq - GO and KEGG. Skeletal muscle is a healthy body’s largest metabolic organ and therefore presents a target for PFOS-induced metabolic toxicity due to its high mitochondrial content. Mice were treated with 0, 1, or 10 mg/kg/day PFOS for 21-days and gastrocnemius and liver collected. We investigated responses of skeletal muscle to PFOS in vivo and compare the responses of skeletal muscle to liver. All mice exhibited a dose-dependent decrease in bodyweight following PFOS treatment; only females were susceptible to a statistically significant loss of skeletal muscle mass. In contrast, liver weight and hepatosomatic index increased in all mice. PFOS showed significant bioaccumulation in skeletal muscle, albeit lower than the liver. Despite lower bioaccumulation, skeletal muscle was highly sensitive to transcriptomic changes with large differences between skeletal muscle and liver. Only 5% of differentially expressed genes were shared between the tissues. Mitochondrial OXPHOS pathways were highly sensitive to PFOS with ETC 1 most sensitive based on GO term and KEGG pathway analysis. OXPHOS was not significantly different via RNAseq/GO/KEGG in liver; instead PPAR transcription and fatty acid metabolism were some of the more sensitive pathways. Mitochondrial activity assays confirmed that complex I and IV capacity in PFOS-treated female skeletal muscle was repressed. In contrast, complex II capacity was repressed by PFOS treatment in liver. These results indicate that skeletal muscle is sensitive to PFOS toxicity and PFOS perturbs different pathways in skeletal muscle than liver.
DOI: 10.15468/dl.f8sk23
title: Occurrence Download

description: A dataset containing 78940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinella marina"
 ]
}

 The dataset includes 78940 records from 503 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009738-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xvf898pj2j
title: Diabetes Knowledge Datasets

description: This cross-sectional study was carried out on patients with type 2 diabetes receiving care at BIRDEM General Hospital situated in Dhaka , Bangladesh between January 2025 to April 2025.
DOI: 10.17632/xvf898pj2j.1
title: Diabetes Knowledge Datasets

description: This cross-sectional study was carried out on patients with type 2 diabetes receiving care at BIRDEM General Hospital situated in Dhaka , Bangladesh between January 2025 to April 2025.
DOI: 10.17632/dbz42w9x8h.2
title: Primary Breast Cancer Clinical Dataset from Epic Hospital (Breast_Cancer_METABRIC_Epic_Hospital)

description: This dataset contains clinical features of breast tumors, designed for use in machine learning and AI-based classification tasks. Each row represents a patient sample with numeric attributes describing tumor characteristics. The dataset includes labels for diagnosis (benign vs malignant), making it suitable for supervised learning tasks such as classification, feature selection, and explainable AI studies.

This dataset contains 15,054 breast cancer patient records collected from Epic Hospital. It provides a comprehensive set of clinical, demographic, and pathological features relevant to breast cancer prognosis and treatment analysis.

The dataset includes 34 columns, such as patient demographics (age, sex), clinical details (tumor size, tumor stage, grade, histologic subtype), treatment history (surgery, chemotherapy, hormone therapy, radiotherapy), and survival outcomes (overall survival months, overall survival status, relapse status).

The dataset is intended to support machine learning, statistical modeling, and medical research in breast cancer survival prediction, treatment response analysis, and outcome assessment.

The dataset may be applied to:
=&gt; Predictive modeling for early breast cancer detection
=&gt; Feature importance and interpretability studies
=&gt; Benchmarking traditional ML models vs. LLM-based tabular learning approaches.
Researchers and practitioners may use this dataset for academic, educational, or applied AI purposes.
DOI: 10.17632/6cxvvr2bmn
title: Paired alpine grassland vegetation–soil dataset under plateau pika disturbance for biodiversity and multifunctionality analysis

description: This dataset originates from extensive field sampling and laboratory measurements across three alpine grassland types on the Qinghai–Tibet Plateau. It includes paired observations under plateau pika (Ochotona curzoniae) disturbance and undisturbed conditions, enabling robust assessments of biodiversity and ecosystem multifunctionality. For each plot, we recorded: Biodiversity indicators: plant diversity, soil nematode diversity, and soil microbial diversity (all based on standardized quadrat sampling and computation), Ecosystem function indicators: aboveground biomass, soil organic carbon, total nitrogen, total phosphorus, available nitrogen, available phosphorus, and soil moisture.
Sampling was conducted on 90 paired plots, resulting in a total of 180 individual plots. Each indicator was measured in both pika-disturbed and undisturbed counterparts under a stratified paired design. The dataset supports research on how small burrowing herbivore disturbance affects biodiversity–multifunctionality relationships in alpine ecosystems.
DOI: 10.17632/6cxvvr2bmn.1
title: Paired alpine grassland vegetation–soil dataset under plateau pika disturbance for biodiversity and multifunctionality analysis

description: This dataset originates from extensive field sampling and laboratory measurements across three alpine grassland types on the Qinghai–Tibet Plateau. It includes paired observations under plateau pika (Ochotona curzoniae) disturbance and undisturbed conditions, enabling robust assessments of biodiversity and ecosystem multifunctionality. For each plot, we recorded: Biodiversity indicators: plant diversity, soil nematode diversity, and soil microbial diversity (all based on standardized quadrat sampling and computation), Ecosystem function indicators: aboveground biomass, soil organic carbon, total nitrogen, total phosphorus, available nitrogen, available phosphorus, and soil moisture.
Sampling was conducted on 90 paired plots, resulting in a total of 180 individual plots. Each indicator was measured in both pika-disturbed and undisturbed counterparts under a stratified paired design. The dataset supports research on how small burrowing herbivore disturbance affects biodiversity–multifunctionality relationships in alpine ecosystems.
DOI: 10.15468/dl.4v7xd3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypsophila viscosa",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009880-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/32srkd2nyr
title: EndoTrack

description: Source code for paper "An Evolutionary Multi-Objective Optimization Framework for Polyp Tracking in Endoscopy Videos".
DOI: 10.17632/32srkd2nyr.1
title: EndoTrack

description: Source code for paper "An Evolutionary Multi-Objective Optimization Framework for Polyp Tracking in Endoscopy Videos".
DOI: 10.15468/dl.gcd6am
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypsophila viscosa",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009883-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wwzhhcmgxd
title: soil water content of drought-rewetting events

description: The data for research paper which tittle is Soil Water Response to Extreme Drought-Rewetting Events under Typical Land Use Patterns in a Rainfed Farmland System.
DOI: 10.15468/dl.9tv887
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009881-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wwzhhcmgxd.1
title: soil water content of drought-rewetting events

description: The data for research paper which tittle is Soil Water Response to Extreme Drought-Rewetting Events under Typical Land Use Patterns in a Rainfed Farmland System.
DOI: 10.15468/dl.ek45kq
title: Occurrence Download

description: A dataset containing 1437 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Selaginella uncinata)"
 ]
}

 The dataset includes 1437 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009884-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fjs4fmygzm
title: IASB Due Process Participation and Governance Structure: Comprehensive Datasets on Stakeholder Involvement and Comment Letter Submissions (2001–2024)

description: This dataset collection comprises two complementary databases that provide a comprehensive and structured record of stakeholder participation in the due process procedures of the International Accounting Standards Board (IASB), as well as in matters related to the governance structure of the IFRS Foundation. Together, these datasets enable detailed empirical analysis of global engagement in standard-setting processes from 2001 to 2024.

The first dataset, IASB Due Process Participants Database, documents all identifiable participants involved in IASB projects from 2001 onward. From 2006, the dataset is considered complete in terms of including all mandatory due process consultations across the various stages of standard development. It provides core descriptive information on each participant, such as country or region of origin, jurisdiction type, stakeholder group classification, and the year of first participation. It also records which projects each participant contributed to, the total number of participations, their share of total project involvement, and the percentage of project participation since their first intervention. Furthermore, it offers a time-series view of the intensity of participation over the years.

This dataset is particularly useful for studying patterns and trends in stakeholder engagement, the geographical and institutional origin of participants, and their evolution over time. It also supports research into the influence of external events—such as the year a jurisdiction adopts IFRS—on stakeholder participation levels.

The second dataset, IASB Comment Letter Submissions Database, offers a refined unit of analysis by focusing on each comment letter submission individually. Unlike the first dataset, in which collective submissions are attributed to the group of participating entities, this dataset treats each submission (individual or joint) as a separate participation unit. It enables the analysis of both individual and collective behaviors across projects and facilitates more granular research into the dynamics of stakeholder influence through formal feedback mechanisms.

Both datasets provide aligned and comparable information, and their structure allows for cross-referencing and aggregation. They support a wide range of academic research questions in the fields of accounting regulation, standard-setting governance, stakeholder analysis, and global policy diffusion.
DOI: 10.17632/fjs4fmygzm.3
title: IASB Due Process Participation and Governance Structure: Comprehensive Datasets on Stakeholder Involvement and Comment Letter Submissions (2001–2024)

description: This dataset collection comprises two complementary databases that provide a comprehensive and structured record of stakeholder participation in the due process procedures of the International Accounting Standards Board (IASB), as well as in matters related to the governance structure of the IFRS Foundation. Together, these datasets enable detailed empirical analysis of global engagement in standard-setting processes from 2001 to 2024.

The first dataset, IASB Due Process Participants Database, documents all identifiable participants involved in IASB projects from 2001 onward. From 2006, the dataset is considered complete in terms of including all mandatory due process consultations across the various stages of standard development. It provides core descriptive information on each participant, such as country or region of origin, jurisdiction type, stakeholder group classification, and the year of first participation. It also records which projects each participant contributed to, the total number of participations, their share of total project involvement, and the percentage of project participation since their first intervention. Furthermore, it offers a time-series view of the intensity of participation over the years.

This dataset is particularly useful for studying patterns and trends in stakeholder engagement, the geographical and institutional origin of participants, and their evolution over time. It also supports research into the influence of external events—such as the year a jurisdiction adopts IFRS—on stakeholder participation levels.

The second dataset, IASB Comment Letter Submissions Database, offers a refined unit of analysis by focusing on each comment letter submission individually. Unlike the first dataset, in which collective submissions are attributed to the group of participating entities, this dataset treats each submission (individual or joint) as a separate participation unit. It enables the analysis of both individual and collective behaviors across projects and facilitates more granular research into the dynamics of stakeholder influence through formal feedback mechanisms.

Both datasets provide aligned and comparable information, and their structure allows for cross-referencing and aggregation. They support a wide range of academic research questions in the fields of accounting regulation, standard-setting governance, stakeholder analysis, and global policy diffusion.
DOI: 10.15468/dl.fnsnwz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypsophila viscosa",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009886-250920141307145/datasets/export for details.
DOI: 10.15468/dl.yt9pgx
title: Occurrence Download

description: A dataset containing 1147 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Acystopteris japonica)"
 ]
}

 The dataset includes 1147 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009887-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hspkku
title: Occurrence Download

description: A dataset containing 5861983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Human Observation, Observation, Machine Observation, Occurrence evidence, Material sample)",
 "Geometry POLYGON((-120.76077 34.29401,-119.491 34.29401,-119.491 34.94882,-120.76077 34.94882,-120.76077 34.29401))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5861983 records from 558 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009831-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnnsfu
title: Occurrence Download

description: A dataset containing 336868 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plant field notes, NTNU University Museum"
 ]
}

 The dataset includes 336868 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014877-250402121839773/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.28767974
title: <b>Intrusion Detection in</b><b> IoHT</b>

description: Even while the IoHT provides many benefits to the medical industry, there are cybersecurity threats that could jeopardize patient data and health. Hackers' ability to change biometric data from biosensors or disrupt the IoHT system is one of the primary worries. To address this problem, Intrusion Detection Systems (IDS) have been developed to protect IoHT. However, the high dimensionality of the data makes it challenging to design IDS for IoHT, which results in model overfitting and decreased detection accuracy.
DOI: 10.15468/dl.g5bh2k
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera cucurbitae (Coquillett, 1899)",
 "Country is Japan",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020779-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23708/gwrgbc
title: Data on the Genetic Diversity Study of the African Olive (Canarium schweinfurthii, Burseraceae) in Africa for Climate Change Adaptation

description: In Africa, the decline of numerous tree species due to rapid population growth, deforestation, and climate change is a major concern. Several native multi-purpose agroforestry species are at risk of losing genetic diversity, which may lead to their extinction. This is the case for Canarium schweinfurthii of the Burseraceae family, one of the most overexploited species for its multiple uses in West and Central Africa. It is essential to develop sustainable conservation strategies for this species, focusing particularly on the sustainable management of its genetic resources. The aim of the study is to contribute to the conservation and sustainable management of Canarium schweinfurthii. Data were collected from trees in various phytogeographical zones in Africa to document and map the spatial distribution of its genetic diversity for sustainable management. These data include information on: the geographic coordinates, dendrometry, ethnobotany, and type of plant material (leaf or cambium) collected from tree individuals for the extraction of genetic material (DNA); the genetic sequences (base arrangement and orientation) of microsatellite markers developed through QDD software from a sample named "CS19"; the genetic sequences of microsatellite markers developed through QDD software from a sample named "CS45"; the genetic sequences of 13 polymorphic microsatellite markers selected and used for the study of genetic structure; the amplification data of these markers on 98 selected individuals. Below you will find documents and links to external repository content: Script PERL; PERL script for pairing; Applications for access and research permits (ABS Agreement of the Nagoya Protocol) have been submitted to the Nagoya focal points of the countries concerned by the authors from the various countries and are in the process of being obtained.
DOI: 10.15468/dl.3maa4w
title: Occurrence Download

description: A dataset containing 42429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Country derived from coordinates, Continent derived from coordinates, Geodetic datum assumed WGS84)",
 "IucnRedListCategory is EX"
 ]
}

 The dataset includes 42429 records from 501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020782-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbkyuc
title: Occurrence Download

description: A dataset containing 171962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Germany",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 171962 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020780-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.