cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mtxy2q
title: Occurrence Download

description: A dataset containing 2649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aster alpinus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2649 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008902-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg7pfb
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aster altaicus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 394 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008904-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17656153
title: 1 km annual forest cover and plant functional type dataset for China from 1981 to 2023

description: This dataset provides two main sets of annual raster data products for the China region at a 1 km spatial resolution: forest cover from 1981 to 2023, and plant functional types (PFT) from 1981 to 2023. Additionally, it contains detection results for change events, including forest change (gain and loss) for the 1981–2023 period. These change products specify the start year and duration of each event.These data products were generated by integrating spatial constraints from multi-source remote sensing data with provincial-level statistics from China’s National Forest Inventories (NFIs). From the primary forest cover dataset, an annual PFT dataset was further developed, disaggregating the total forest cover into nine distinct types. The dataset aims to provide a high-quality, long-term, and spatially explicit forcing dataset suitable for Dynamic Global Vegetation Models (DGVMs) to support studies on China's terrestrial carbon balance, assess the ecological impacts of forest restoration, and constrain estimates of the national forest carbon sink since 1981.
DOI: 10.15468/dl.4zc4td
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mahonia duclouxiana",
 "Year 1950-2020"
 ]
}

 The dataset includes 57 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008906-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f759z9
title: Occurrence Download

description: A dataset containing 1578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Rubus armeniacus"
 ]
}

 The dataset includes 1578 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008905-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32dhqn
title: Occurrence Download

description: A dataset containing 99749 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is 0e2ae538-4332-4f41-bfee-8aa2c693d2a9"
 ]
}

 The dataset includes 99749 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008898-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvwphp
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aster tataricus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 906 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008907-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18358130
title: vegetation_change_detection_dataset
DOI: 10.5281/zenodo.18358131
title: vegetation_change_detection_dataset
DOI: 10.15468/dl.bky8bf
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mahonia napaulensis",
 "Year 1970-2000"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008908-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.525mfv
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asteridea pulverulenta",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 161 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008909-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25820/data.008179
title: Dataset for: Coordination of cell organelles to promote metabolon formation

description: This dataset from the associated manuscript "Coordination of cell organelles to promote metabolon formation" contains the raw and/or analyzed datasets generated at the University of Iowa. In this dataset are metabolite level and tracing data provided by the Metabolomics Core and Metabolic Phenotyping Core facilities at the University of Iowa, all image analysis from samples generated at the University of Iowa (images provided by S. Zhang and R. Zhou at Penn State University), and immunoblot raw images used in the supporting documentation.
DOI: 10.15468/dl.wadexa
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asteriscus intermedius",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008911-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkautt
title: Occurrence Download

description: A dataset containing 96 records in GBIF matching the query:
SELECT
 '257' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 16.25916876999866
 AND decimalLatitude &lt;= 20.3845909579754
 AND decimalLongitude &gt;= 5.116237982624578
 AND decimalLongitude &lt;= 10.38460487225261
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 96 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008903-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18356166
title: plan de masse organigramme

description: plan de masse et organigramme hôpital
DOI: 10.15468/dl.669zsq
title: Occurrence Download

description: A dataset containing 9136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Baja California, Baja California Sur)",
 "TaxonKey is Crassulaceae"
 ]
}

 The dataset includes 9136 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008912-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmzjvg
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mahonia oiwakensis",
 "Year 1960-2010"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008913-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5xeae
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athanasia trifurcata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 274 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008914-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3khqxg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athrixia subsimplex",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008916-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18358214
title: Integrated Effects of Land Cover, Topography, Urban Morphology, and PM2.5 on Land Surface Temperature
DOI: 10.5281/zenodo.18358215
title: Integrated Effects of Land Cover, Topography, Urban Morphology, and PM2.5 on Land Surface Temperature
DOI: 10.15468/dl.cvve8n
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mahonia polyodonta",
 "Year 1950-2020"
 ]
}

 The dataset includes 79 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008917-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cw7u4u
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athroisma pinnatifidum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008918-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18358208
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.18358228
title: PATHOLOGICAL ANATOMICAL CHARACTERISTICS OF ACUTE AND CHRONIC INFLAMMATION

description: Inflammation is a fundamental pathological process that plays a critical role in the body’s defense against tissue injury and infection. Based on duration, cellular composition, and morphological characteristics, inflammation is traditionally classified into acute and chronic forms. This article aims to analyze the pathological anatomical features of acute and chronic inflammation, focusing on their cellular components, vascular changes, and tissue remodeling processes. A descriptive and analytical review of histopathological specimens and classical pathology literature was conducted to compare morphological patterns of different inflammatory types. The findings demonstrate that acute inflammation is characterized by rapid onset, prominent vascular reactions, exudation, and predominance of neutrophils, whereas chronic inflammation is associated with prolonged infiltration of mononuclear cells, progressive tissue destruction, fibrosis, and angiogenesis. Granulomatous inflammation represents a distinctive subtype of chronic inflammation with specific morphological features. Understanding these differences is essential for accurate histopathological diagnosis and has significant implications for clinical management and therapeutic decision-making
DOI: 10.5281/zenodo.18358229
title: PATHOLOGICAL ANATOMICAL CHARACTERISTICS OF ACUTE AND CHRONIC INFLAMMATION

description: Inflammation is a fundamental pathological process that plays a critical role in the body’s defense against tissue injury and infection. Based on duration, cellular composition, and morphological characteristics, inflammation is traditionally classified into acute and chronic forms. This article aims to analyze the pathological anatomical features of acute and chronic inflammation, focusing on their cellular components, vascular changes, and tissue remodeling processes. A descriptive and analytical review of histopathological specimens and classical pathology literature was conducted to compare morphological patterns of different inflammatory types. The findings demonstrate that acute inflammation is characterized by rapid onset, prominent vascular reactions, exudation, and predominance of neutrophils, whereas chronic inflammation is associated with prolonged infiltration of mononuclear cells, progressive tissue destruction, fibrosis, and angiogenesis. Granulomatous inflammation represents a distinctive subtype of chronic inflammation with specific morphological features. Understanding these differences is essential for accurate histopathological diagnosis and has significant implications for clinical management and therapeutic decision-making
DOI: 10.15468/dl.2jkj87
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atractylis humilis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 401 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008919-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avq3nw
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Podophyllum emodi"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008920-260120142942310/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.31052200
title: Sereika_10_datasets_Srinivas_8_datasets

description: Datasets from real ONT sequencing of mock microbiomes from two papers - Srinivas M. et al. Scientific Reports 2025, and Sereika M. et al. Nature Methods 2022. The Srinivas et al. datasets are directly available and have been renamed here as follows:- SAn_rrn_C03, n=1,2,3,4 ERR12650369.. ERR126500372 SZn_rrn_C03, n=1,2,3,4 ERR12650381.. ERR126500384The Sereika et al. datasets are derived from whole genome sequencing of the Zymo Microbiomics D6322 mock microbiome by extracting the 16S and 23S sequences from reads which have complete versions of these sequences identifiable on them. The mSerf sequences use all of the 16S and 23S sequences extracted, while the other datasets are sub-sampled as described in the primary paper and its Supplementary Material.
DOI: 10.6084/m9.figshare.31052200.v1
title: Sereika_10_datasets_Srinivas_8_datasets

description: Datasets from real ONT sequencing of mock microbiomes from two papers - Srinivas M. et al. Scientific Reports 2025, and Sereika M. et al. Nature Methods 2022. The Srinivas et al. datasets are directly available and have been renamed here as follows:- SAn_rrn_C03, n=1,2,3,4 ERR12650369.. ERR126500372 SZn_rrn_C03, n=1,2,3,4 ERR12650381.. ERR126500384The Sereika et al. datasets are derived from whole genome sequencing of the Zymo Microbiomics D6322 mock microbiome by extracting the 16S and 23S sequences from reads which have complete versions of these sequences identifiable on them. The mSerf sequences use all of the 16S and 23S sequences extracted, while the other datasets are sub-sampled as described in the primary paper and its Supplementary Material.
DOI: 10.15468/dl.fzwhhb
title: Occurrence Download

description: A dataset containing 65 records in GBIF matching the query:
SELECT
 '258' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 16.25916876999866
 AND decimalLatitude &lt;= 20.3845909579754
 AND decimalLongitude &gt;= 10.232475965249156
 AND decimalLongitude &lt;= 15.576907308378914
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 65 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008915-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18358070
title: Dedicated Dataset for Atomic Parameters Prediction Derived from ASD and AMD
DOI: 10.5281/zenodo.18297218
title: Dedicated Dataset for Atomic Parameters Prediction Derived from ASD and AMD
DOI: 10.15468/dl.nw2quj
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atractylodes macrocephala",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 213 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008922-260120142942310/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.31143748
title: Generation of Synthetic Data in Health Surveys Using Large Language Models

description: <b>Background: </b>Generating synthetic data using artificial intelligence, such as large language models (LLMs), is a useful strategy in public health because it can reduce time and costs, expand access to data, and facilitate information sharing without compromising confidentiality.<b>Objective: </b>To evaluate the consistency and psychometric plausibility of synthetic data generated by an LLM to simulate the responses of survey participants (user personas) in a national health survey in Peru.<b>Methods: </b>We conducted a cross-sectional study based on the National Health Satisfaction Survey (ENSUSALUD 2016) of ambulatory health service users. We used the GPT-OSS-20B model to generate synthetic responses in Spanish, conditioned on narrative profiles derived from sociodemographic and clinical variables. We evaluated consistency between responses and profile characteristics (sex, age, and comorbidities) using performance metrics (accuracy, precision, recall, F1 score, and AUC). We compared distributions between real and synthetic data using t-tests and chi-square tests. For latent variables, we conducted confirmatory factor analyses of the PHQ-9, PHQ-8, and GAD-7 (WLSMV; polychoric matrices) and estimated internal consistency (α and ω). We examined normality (Jarque–Bera test) and stability through correlations between real measures (PHQ-2 and EQ-5D) and synthetic measures (PHQ-2, PHQ-8, PHQ-9, GAD-2, and GAD-7).<b>Results: </b>The model showed strong concordance with the profile for sex, age, and chronic disease status, with metrics close to 1 for most variables; overall consistency was high in the vast majority of cases. The synthetic PHQ-9, PHQ-8, and GAD-7 instruments showed optimal factor fit and high internal consistency. Synthetic measures were positively and significantly correlated with the real PHQ-2 and negatively correlated with EQ-5D, with moderate to high correlations, particularly for PHQ-8/PHQ-9 and GAD-7.<b>Conclusions: </b>An LLM can generate plausible synthetic data for health surveys when its output is conditioned on user personas, preserving high coherence with demographic and clinical characteristics and maintaining adequate psychometric properties in depression and anxiety scales. However, relevant deviations were identified (e.g., overestimation of obesity, unexpected distributions in some variables, and missing values in a sensitive item), which supports the need for rigorous validation and bias control before using these data for inferential purposes or public policy.