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

description: A dataset containing 48069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidium virginicum L."
 ]
}

 The dataset includes 48069 records from 874 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020719-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnckkm
title: Occurrence Download

description: A dataset containing 776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Desmognathus welteri Barbour, 1950)"
 ]
}

 The dataset includes 776 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020733-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twrevs
title: Occurrence Download

description: A dataset containing 36761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi",
 "Year 2024-2024"
 ]
}

 The dataset includes 36761 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020732-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8skyb
title: Occurrence Download

description: A dataset containing 1025568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arecaceae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1025568 records from 1733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020680-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtp4bs
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Cambodia, Malaysia, Thailand, Myanmar, Viet Nam)",
 "TaxonKey is Leiolepis belliana"
 ]
}

 The dataset includes 947 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042549-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12733.79842
title: 2013-2020 Index and Overall Conclusions Line of Research on Climate and Environmental Synergies "Filling-In-Finding Out Gaps of Knowledge by Diego Fdez-Sevilla PhD
DOI: 10.13140/rg.2.2.32342.16960
title: Habitats in transect 20210209_036_TZ
DOI: 10.6084/m9.figshare.30400000
title: Global, regional and national burden of colorectal cancer and its risk factors, 1990-2021: a systematic analysis for the GBD 2021

description: <b>Importance: </b>Colorectal cancer (CRC) constitutes a significant segment of the global cancer burden, thereby warranting an in-depth epidemiological appraisal to inform strategic public health interventions and resource allocation. Previous studies, such as those based on the GBD 2019 dataset, have provided valuable insights into the CRC burden. However, they have limitations in terms of data recency, regional granularity, and comprehensive risk factor analysis.<b>Objective: </b>This research seeks to undertake a thorough analysis of the burden of CRC at global, regional, and national levels, along with its associated risk factors, spanning the period from 1990 to 2021. This analysis will employ data sourced from the Global Burden of Disease (GBD) 2021 study, addressing limitations in previous research by providing a more detailed and updated assessment.<b>Methods:</b> We assessed the distribution of CRC across 204 countries and territories, focusing on age, gender, and geographic variations. The impact of key risk factors (including behavioral risks, metabolic risks, behavioral risks, metabolic risks) on disability-adjusted life years (DALYs) was evaluated across 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was employed to project CRC trends over the next three decades.<b>Findings:</b> In 2021, global CRC incidence was approximately 2,194,143 cases, with a prevalence of 11,679,120 and 24,401,100 DALYs. Central Europe exhibited the highest burden, with incidence peaking among individuals aged 84 to 94 years. From 1990 to 2021, age-standardized incidence, mortality, and DALY rates for CRC showed upward trends, particularly among males. The analysis of risk factors across 21 GBD regions reveals significant regional disparities in the colorectal cancer (CRC) burden, with Central Europe showing the highest contribution from risk factors (305.66). Behavioral risks, such as smoking and high alcohol use, have the greatest impact, followed by dietary risks (particularly low whole grain intake and high processed meat consumption) and metabolic risks (including high BMI and high fasting plasma glucose). Future projections indicate a potential decrease in CRC burden, especially among females.<b>Conclusion:</b> This study provides the most granular assessment of CRC burden to date, highlighting dietary policies and sex-specific interventions as priorities. Methodological advancements in projection modeling offer actionable insights for long-term public health planning.
DOI: 10.6084/m9.figshare.30400000.v1
title: Global, regional and national burden of colorectal cancer and its risk factors, 1990-2021: a systematic analysis for the GBD 2021

description: <b>Importance: </b>Colorectal cancer (CRC) constitutes a significant segment of the global cancer burden, thereby warranting an in-depth epidemiological appraisal to inform strategic public health interventions and resource allocation. Previous studies, such as those based on the GBD 2019 dataset, have provided valuable insights into the CRC burden. However, they have limitations in terms of data recency, regional granularity, and comprehensive risk factor analysis.<b>Objective: </b>This research seeks to undertake a thorough analysis of the burden of CRC at global, regional, and national levels, along with its associated risk factors, spanning the period from 1990 to 2021. This analysis will employ data sourced from the Global Burden of Disease (GBD) 2021 study, addressing limitations in previous research by providing a more detailed and updated assessment.<b>Methods:</b> We assessed the distribution of CRC across 204 countries and territories, focusing on age, gender, and geographic variations. The impact of key risk factors (including behavioral risks, metabolic risks, behavioral risks, metabolic risks) on disability-adjusted life years (DALYs) was evaluated across 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was employed to project CRC trends over the next three decades.<b>Findings:</b> In 2021, global CRC incidence was approximately 2,194,143 cases, with a prevalence of 11,679,120 and 24,401,100 DALYs. Central Europe exhibited the highest burden, with incidence peaking among individuals aged 84 to 94 years. From 1990 to 2021, age-standardized incidence, mortality, and DALY rates for CRC showed upward trends, particularly among males. The analysis of risk factors across 21 GBD regions reveals significant regional disparities in the colorectal cancer (CRC) burden, with Central Europe showing the highest contribution from risk factors (305.66). Behavioral risks, such as smoking and high alcohol use, have the greatest impact, followed by dietary risks (particularly low whole grain intake and high processed meat consumption) and metabolic risks (including high BMI and high fasting plasma glucose). Future projections indicate a potential decrease in CRC burden, especially among females.<b>Conclusion:</b> This study provides the most granular assessment of CRC burden to date, highlighting dietary policies and sex-specific interventions as priorities. Methodological advancements in projection modeling offer actionable insights for long-term public health planning.
DOI: 10.13140/rg.2.2.15905.74087
title: PLANTS THAT CAN BE GROWN ON TERRACES. 10.03.2021.
DOI: 10.13140/rg.2.2.16744.60161
title: Calculador de ciclo termodinámico Ideal Motores OTTO
DOI: 10.13140/rg.2.2.36248.11524
title: Bradford Hill and Koch's Postulate Applied to Medical Toxicology Causation Analysis_ Ordog_text_final.docx
DOI: 10.13140/rg.2.2.16797.03049
title: ette haftalık bülten - 5 Mart 2021 (ette weekly bulletin - March 5, 2021)
DOI: 10.5281/zenodo.14856806
title: sample measurements
DOI: 10.5281/zenodo.14856807
title: sample measurements
DOI: 10.15468/dl.t5xgwv
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Octopus fangsiao d'Orbigny",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025088-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13873758
title: Data of "Neurobiological correlates of personality dimensions in Borderline Personality Disorder using graph analysis of functional connectivity"

description: This dataset includes the numerical data based on which the analysis presented in "Neurobiological correlates of personality dimensions in Borderline Personality Disorder using graph analysis of functional connectivity" (D'Adda F., Sighinolfi G., et al.) was performed.

The *.txt files contain the 85x85 functional connectivity matrices estimated for each subject. The order of the regions of interest as they were set in the matrices is the same as reported in the ROIs.xlsx file.

The PID-5_tab.xlsx file contains the scores of the PID-5 domains and facets obtained by each subject. The column "Exam" corresponds to the identifier used to name the *.txt files. The column "Cond" states whether the subject is a patient or a healthy control.

To request access to the dataset, please contact the Corresponding Author of this work, Prof. Caterina Tonon: caterina.tonon@unibo.it
DOI: 10.5281/zenodo.13873759
title: Data of "Neurobiological correlates of personality dimensions in Borderline Personality Disorder using graph analysis of functional connectivity"

description: This dataset includes the numerical data based on which the analysis presented in "Neurobiological correlates of personality dimensions in Borderline Personality Disorder using graph analysis of functional connectivity" (D'Adda F., Sighinolfi G., et al.) was performed.

The *.txt files contain the 85x85 functional connectivity matrices estimated for each subject. The order of the regions of interest as they were set in the matrices is the same as reported in the ROIs.xlsx file.

The PID-5_tab.xlsx file contains the scores of the PID-5 domains and facets obtained by each subject. The column "Exam" corresponds to the identifier used to name the *.txt files. The column "Cond" states whether the subject is a patient or a healthy control.

To request access to the dataset, please contact the Corresponding Author of this work, Prof. Caterina Tonon: caterina.tonon@unibo.it
DOI: 10.5281/zenodo.14055504
title: ADSCAN: AI-Powered Multi-modal Framework for Enhanced Ad Detection and Web Safety

description: We published codes and datasets (SITE-D, TEXT-D and part of IMG-D) for paper "ADSCAN: AI-Powered Multi-modal Framework for Enhanced Ad Detection and Web Safety."
DOI: 10.5281/zenodo.14055505
title: ADSCAN: AI-Powered Multi-modal Framework for Enhanced Ad Detection and Web Safety

description: We published codes and datasets (SITE-D, TEXT-D and part of IMG-D) for paper "ADSCAN: AI-Powered Multi-modal Framework for Enhanced Ad Detection and Web Safety."
DOI: 10.15468/dl.cwkqct
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammodytes personatus Girard, 1856",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025090-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yetq3v
title: Occurrence Download

description: A dataset containing 5800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-4.40573 39.5638,-3.43769 39.60085,-2.98378 39.70275,-2.68734 40.03624,-2.73762 40.5475,-2.96929 41.09887,-3.23803 41.27031,-3.60907 41.40724,-4.14618 41.46955,-4.55858 41.11081,-4.80406 40.76342,-4.89679 40.02856,-4.40573 39.5638))",
 "HasGeospatialIssue is false",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 5800 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025092-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11056801
title: Datensatzbeschreibung des Forschungsdatenzentrums Gesundheit

description: Das Forschungsdatenzentrum Gesundheit

Das Forschungsdatenzentrum Gesundheit (FDZ Gesundheit) am Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM) erschließt zu Forschungszwecken die pseudonymisierten Abrechnungsdaten der gesetzlich Krankenversicherten.Das Ziel: Eine bessere Gesundheitsversorgung für alle.

Das FDZ Gesundheit befindet sich aktuell im Aufbau. Aktuelle Informationen finden Sie auf der Webseite.




Über diese Datensatzbeschreibung

Dieses Repository enthält eine vorläufige Datensatzbeschreibung, welche über die Struktur der in Zukunft über das FDZ Gesundheit zugänglichen Daten informiert.Ziel der Veröffentlichung dieser Datensatzbeschreibung ist es, interessierten Personen bereits vor Antragsstellung die Möglichkeit zu geben, sich mit den Daten des FDZ auseinander zu setzen und abzuschätzen, welche Forschungsvorhaben realisierbar und erfolgsversprechend sein könnten. Die Daten sind in Abhängigkeit der Berichtsjahre auf unterschiedliche Datenmodelle aufgeteilt, welche sich inhaltlich unterscheiden. Nicht alle Daten sind in allen Datenmodellen und für alle Berichtsjahre verfügbar.

Eine interaktive Datensatzbeschreibung mit weiteren Informationen finden Sie hier. Das entsprechende GitHub Repository ist hier zu finden. 

Alle Angaben ohne Gewähr. Es können noch Änderungen auftreten.
description: Die Datensatzbeschreibung enthält keine Gesundheitsdaten. Der FDZ-Datensatz ist nicht öffentlich zugänglich, kann aber auf Antrag für Forschungszwecke genutzt werden. Weitere Informationen finden Sie auf unserer Webseite.
DOI: 10.5281/zenodo.11472236
title: Datensatzbeschreibung des Forschungsdatenzentrums Gesundheit

description: Das Forschungsdatenzentrum Gesundheit

Das Forschungsdatenzentrum Gesundheit (FDZ Gesundheit) am Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM) erschließt zu Forschungszwecken die pseudonymisierten Abrechnungsdaten der gesetzlich Krankenversicherten.Das Ziel: Eine bessere Gesundheitsversorgung für alle.

Das FDZ Gesundheit befindet sich aktuell im Aufbau. Aktuelle Informationen finden Sie auf der Webseite.




Über diese Datensatzbeschreibung

Dieses Repository enthält eine vorläufige Datensatzbeschreibung, welche über die Struktur der in Zukunft über das FDZ Gesundheit zugänglichen Daten informiert.Ziel der Veröffentlichung dieser Datensatzbeschreibung ist es, interessierten Personen bereits vor Antragsstellung die Möglichkeit zu geben, sich mit den Daten des FDZ auseinander zu setzen und abzuschätzen, welche Forschungsvorhaben realisierbar und erfolgsversprechend sein könnten. Die Daten sind in Abhängigkeit der Berichtsjahre auf unterschiedliche Datenmodelle aufgeteilt, welche sich inhaltlich unterscheiden. Nicht alle Daten sind in allen Datenmodellen und für alle Berichtsjahre verfügbar.

Eine interaktive Datensatzbeschreibung mit weiteren Informationen finden Sie hier. Das entsprechende GitHub Repository ist hier zu finden. 

Alle Angaben ohne Gewähr. Es können noch Änderungen auftreten.
description: Die Datensatzbeschreibung enthält keine Gesundheitsdaten. Der FDZ-Datensatz ist nicht öffentlich zugänglich, kann aber auf Antrag für Forschungszwecke genutzt werden. Weitere Informationen finden Sie auf unserer Webseite.
DOI: 10.5281/zenodo.14857202
title: Datensatzbeschreibung des Forschungsdatenzentrums Gesundheit

description: Das Forschungsdatenzentrum Gesundheit

Das Forschungsdatenzentrum Gesundheit (FDZ Gesundheit) am Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM) erschließt zu Forschungszwecken die pseudonymisierten Abrechnungsdaten der gesetzlich Krankenversicherten.Das Ziel: Eine bessere Gesundheitsversorgung für alle.

Das FDZ Gesundheit befindet sich aktuell im Aufbau. Aktuelle Informationen finden Sie auf der Webseite.




Über diese Datensatzbeschreibung

Dieses Repository enthält eine vorläufige Datensatzbeschreibung, welche über die Struktur der in Zukunft über das FDZ Gesundheit zugänglichen Daten informiert.Ziel der Veröffentlichung dieser Datensatzbeschreibung ist es, interessierten Personen bereits vor Antragsstellung die Möglichkeit zu geben, sich mit den Daten des FDZ auseinander zu setzen und abzuschätzen, welche Forschungsvorhaben realisierbar und erfolgsversprechend sein könnten. Die Daten sind in Abhängigkeit der Berichtsjahre auf unterschiedliche Datenmodelle aufgeteilt, welche sich inhaltlich unterscheiden. Nicht alle Daten sind in allen Datenmodellen und für alle Berichtsjahre verfügbar.

Eine interaktive Datensatzbeschreibung mit weiteren Informationen finden Sie hier. Das entsprechende GitHub Repository ist hier zu finden. 

Alle Angaben ohne Gewähr. Es können noch Änderungen auftreten.
description: Die Datensatzbeschreibung enthält keine Gesundheitsdaten. Der FDZ-Datensatz ist nicht öffentlich zugänglich, kann aber auf Antrag für Forschungszwecke genutzt werden. Weitere Informationen finden Sie auf unserer Webseite.
DOI: 10.15468/dl.ta8frv
title: Occurrence Download

description: A dataset containing 1023948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 1023948 records from 3185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025070-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3rjqt
title: Occurrence Download

description: A dataset containing 1544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.60674187062354",
 "DecimalLongitude is less than 6.60980142380794",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1544 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003116-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7bx5l
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobombax ellipticoideum A.Robyns",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009601-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrh9qg
title: Occurrence Download

description: A dataset containing 3297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenocereus thurberi (Engelm.) Buxb."
 ]
}

 The dataset includes 3297 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003090-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpy8jn
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erica aneimena Dulfer"
 ]
}

 The dataset includes 82 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042142-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhjezr
title: Occurrence Download

description: A dataset containing 19337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dracocephalum ruyschiana L."
 ]
}

 The dataset includes 19337 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039863-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rf95i
title: Occurrence Download

description: A dataset containing 1356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amanita Pers.",
 "Country is Japan"
 ]
}

 The dataset includes 1356 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009601-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dvztu
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-142.83677 -1.40988,-45.87679 -1.40988,-45.87679 62.7268,-142.83677 62.7268,-142.83677 -1.40988))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oryx gazella (Linnaeus, 1758)"
 ]
}

 The dataset includes 141 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003056-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcvjk9
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elatostema monandrum (D.Don) H.Hara"
 ]
}

 The dataset includes 524 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042070-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvpyji
title: Occurrence Download

description: A dataset containing 5998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrtus communis L.",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 5998 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009601-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.