cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cgdg59
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropoda",
 "DatasetKey is Saisie de données naturalistes d'observateurs indépendants sur la plateforme de l'Observatoire FAUNA-Données naturalistes de Severine GUYOT",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0227209-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11173028
title: 2012_BirdRanges_BirdLifeInternational_NatureServe

description: This dataset contains digital distribution information for all the world’s birds. It is a joint product of BirdLife International and NatureServe, combining the datasets for threatened, Near Threatened and old world species developed by BirdLife International, and data for species in the Western Hemisphere developed by NatureServe.

 

The data comprise ArcView shapefiles for polygons of the distribution of each species. For the species in the Western Hemisphere there are also (or in some cases, only) points for species where there are isolated records. Not all vagrant occurrences are depicted. 

 

The files are arranged in folders by family. Polygon files are named: Genus_species_IDnumber_institution code.xxx. Institution code is “BL” for BirdLife and “NS” for NatureServe and indicates which institution has primary responsibility for compiling and keeping up to date the distribution map; “xxx” represents the extensions (e.g., shp, dbf) that ArcView attaches to shapefiles. Point files are named: Genus_species_IDnumber¬__institution code_pt.xxx. DBF files accompanying each polygon contain taxonomic information, distribution status, sources and other details about the maps (see Data Attributes below).

For more information please see the metadata file provided by this dataset.
DOI: 10.5281/zenodo.11173029
title: 2012_BirdRanges_BirdLifeInternational_NatureServe

description: This dataset contains digital distribution information for all the world’s birds. It is a joint product of BirdLife International and NatureServe, combining the datasets for threatened, Near Threatened and old world species developed by BirdLife International, and data for species in the Western Hemisphere developed by NatureServe.

 

The data comprise ArcView shapefiles for polygons of the distribution of each species. For the species in the Western Hemisphere there are also (or in some cases, only) points for species where there are isolated records. Not all vagrant occurrences are depicted. 

 

The files are arranged in folders by family. Polygon files are named: Genus_species_IDnumber_institution code.xxx. Institution code is “BL” for BirdLife and “NS” for NatureServe and indicates which institution has primary responsibility for compiling and keeping up to date the distribution map; “xxx” represents the extensions (e.g., shp, dbf) that ArcView attaches to shapefiles. Point files are named: Genus_species_IDnumber¬__institution code_pt.xxx. DBF files accompanying each polygon contain taxonomic information, distribution status, sources and other details about the maps (see Data Attributes below).

For more information please see the metadata file provided by this dataset.
DOI: 10.15468/dl.gmueyr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gagea alexejana Kamelin ex Levichev"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221428-230224095556074/datasets/export for details.
DOI: 10.15468/dl.j837fp
title: Occurrence Download

description: A dataset containing 27518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-73.88436830835118 -30.938035331905795,-69.88436830835118 -30.938035331905795,-69.88436830835118 -26.938035331905795,-73.88436830835118 -26.938035331905795,-73.88436830835118 -30.938035331905795))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 27518 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068934-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp5b9t
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio rufescens DC."
 ]
}

 The dataset includes 304 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124532-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayu32z
title: Occurrence Download

description: A dataset containing 29051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "Year is 2022"
 ]
}

 The dataset includes 29051 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022311-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.paed53
title: Occurrence Download

description: A dataset containing 23 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '7953279', TRUE)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 23 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009287-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w32arj
title: Occurrence Download

description: A dataset containing 12858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "Geometry POLYGON((120.56112 23.44286,120.63169 23.44133,120.62435 23.48251,120.59893 23.48312,120.55944 23.4856,120.56118 23.45252,120.56112 23.44286))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12858 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009343-260221153910048/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.31406296
title: Association between hypothermic machine perfusion parameters and graft function in deceased donor kidney transplantation

description: Kidney transplantation (KT) is the most effective treatment for end-stage renal disease. Hypothermic machine perfusion (HMP) can improve renal energy metabolism and reduce ischemia-reperfusion injury compared with static cold storage. This study aimed to evaluate the association between HMP parameters and graft function in deceased donor kidney transplantation (DDKT) and to develop a predictive model for early risk stratification. A retrospective analysis was conducted on 2,041 DDKT recipients from 1 January 2015 to 30 June 2023. The primary outcome, delayed graft function (DGF), was defined as the need for at least one dialysis session within the first week after transplantation. Consensus clustering (CC) and restricted cubic spline (RCS) analysis were used to evaluate the associations between clinical data, HMP parameters, and graft function. Feature selection was performed using Lasso-penalized logistic regression (LR), and multivariable LR was used to construct the predictive model. The model’s performance was assessed using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). Among the DDKT recipients, 12.9% developed DGF. HMP parameters varied significantly between the two groups, with DGF recipients showing distinct patterns in perfusion resistance, flux, and pressure. CC identified two recipient clusters with distinct DGF risk profiles, graft function, and donor characteristics. Non-linear relationships were identified between HMP parameters and DGF risk, with thresholds for initial resistance, terminal resistance, and terminal flux. The predictive model integrating six variables achieved an AUC of 0.78 (95% CI: 0.76–0.82) in the test set. Calibration and DCA confirmed good reliability and net clinical benefit. Non-linear relationships between HMP parameters and DGF underscore graft perfusion complexity. The proposed model demonstrated robust internal performance and may support early post-transplant risk stratification. External validation in independent cohorts is warranted to confirm generalizability and clinical applicability.
DOI: 10.6084/m9.figshare.31406296.v1
title: Association between hypothermic machine perfusion parameters and graft function in deceased donor kidney transplantation

description: Kidney transplantation (KT) is the most effective treatment for end-stage renal disease. Hypothermic machine perfusion (HMP) can improve renal energy metabolism and reduce ischemia-reperfusion injury compared with static cold storage. This study aimed to evaluate the association between HMP parameters and graft function in deceased donor kidney transplantation (DDKT) and to develop a predictive model for early risk stratification. A retrospective analysis was conducted on 2,041 DDKT recipients from 1 January 2015 to 30 June 2023. The primary outcome, delayed graft function (DGF), was defined as the need for at least one dialysis session within the first week after transplantation. Consensus clustering (CC) and restricted cubic spline (RCS) analysis were used to evaluate the associations between clinical data, HMP parameters, and graft function. Feature selection was performed using Lasso-penalized logistic regression (LR), and multivariable LR was used to construct the predictive model. The model’s performance was assessed using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). Among the DDKT recipients, 12.9% developed DGF. HMP parameters varied significantly between the two groups, with DGF recipients showing distinct patterns in perfusion resistance, flux, and pressure. CC identified two recipient clusters with distinct DGF risk profiles, graft function, and donor characteristics. Non-linear relationships were identified between HMP parameters and DGF risk, with thresholds for initial resistance, terminal resistance, and terminal flux. The predictive model integrating six variables achieved an AUC of 0.78 (95% CI: 0.76–0.82) in the test set. Calibration and DCA confirmed good reliability and net clinical benefit. Non-linear relationships between HMP parameters and DGF underscore graft perfusion complexity. The proposed model demonstrated robust internal performance and may support early post-transplant risk stratification. External validation in independent cohorts is warranted to confirm generalizability and clinical applicability.
DOI: 10.6084/m9.figshare.31406086
title: Dissecting burden of alcoholic cardiomyopathy: age-period-cohort analysis from the global burden of disease study 2019

description: Alcoholic cardiomyopathy (ACM) is a major cause of cardiovascular morbidity and mortality, characterized by ventricular dilation and impaired contractility resulting from chronic heavy alcohol use. Understanding its temporal and demographic trends is vital for guiding targeted public health interventions. Using the Global Burden of Disease (GBD) 2019 dataset, we analyzed ACM trends from 1990 to 2019 across 204 countries and territories. Multi-level mixed-effects models were applied to assess age, period, and cohort effects on ACM mortality. Males consistently exhibited higher ACM rates across all age groups. Although global age-standardized prevalence and mortality rates have declined since 1990, regional disparities persist—mortality remains highest in Eastern Europe and lowest in Sub-Saharan Africa. Age, period, and cohort analyses revealed patterns reflecting cumulative alcohol-related cardiac damage, healthcare advancements, and generational shifts in alcohol consumption. Despite global improvement, ACM continues to impose a substantial health burden. Early interventions and policies addressing alcohol use throughout the life course are essential. Future longitudinal studies should identify critical prevention windows and explore genetic and environmental interactions. Advances in precision medicine, big data, and artificial intelligence may further enhance personalized treatment and optimize global resource allocation against ACM.
DOI: 10.6084/m9.figshare.31406086.v1
title: Dissecting burden of alcoholic cardiomyopathy: age-period-cohort analysis from the global burden of disease study 2019

description: Alcoholic cardiomyopathy (ACM) is a major cause of cardiovascular morbidity and mortality, characterized by ventricular dilation and impaired contractility resulting from chronic heavy alcohol use. Understanding its temporal and demographic trends is vital for guiding targeted public health interventions. Using the Global Burden of Disease (GBD) 2019 dataset, we analyzed ACM trends from 1990 to 2019 across 204 countries and territories. Multi-level mixed-effects models were applied to assess age, period, and cohort effects on ACM mortality. Males consistently exhibited higher ACM rates across all age groups. Although global age-standardized prevalence and mortality rates have declined since 1990, regional disparities persist—mortality remains highest in Eastern Europe and lowest in Sub-Saharan Africa. Age, period, and cohort analyses revealed patterns reflecting cumulative alcohol-related cardiac damage, healthcare advancements, and generational shifts in alcohol consumption. Despite global improvement, ACM continues to impose a substantial health burden. Early interventions and policies addressing alcohol use throughout the life course are essential. Future longitudinal studies should identify critical prevention windows and explore genetic and environmental interactions. Advances in precision medicine, big data, and artificial intelligence may further enhance personalized treatment and optimize global resource allocation against ACM.
DOI: 10.15468/dl.e67xc4
title: Occurrence Download

description: A dataset containing 73922 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorDistributionStatus"
 ]
}

 The dataset includes 73922 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009334-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx9tgg
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaphyglottis prolifera",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 109 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009347-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8ntvx
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus albocinctus"
 ]
}

 The dataset includes 477 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009348-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23708/48017f7f-5996-43b4-8316-3e7991f40a09
title: Delta du fleuve Sénégal - Communes - Découpage administratif
title: Senegal River Delta - Municipalities - Administrative division

description: Les données mise à disposition à travers cette collection d'éléments liés, sont issues de l'outil SIRENA, créé en janvier 2011 afin de constituer un ensemble de données géographiques organisées et normalisées à l'échelle du delta du fleuve Sénégal, dans le but de répondre à la problématique de la gouvernance de cet espace. Un partenariat avec des universitaires, des techniciens SIG, des gestionnaires des aires protégées et des usagers a été mis en place.
Une demande explicite d’appui vis-à-vis de la recherche avait été alors formulée par les conservateurs et gestionnaires de ce Parc ainsi que ceux du Parc National des oiseaux du Djoudj (PNOD) pour disposer d’un outil de création, d’analyse et de gestion de données géographiques pour répondre à des problématiques de gestion territoriale, ainsi que d’un soutien scientifique pour le suivi environnemental des espaces protégés du Delta.

Le zonage des communes des vallées du fleuve Sénégal fait partie des données intégrées dans l'outil SIRENA
description: The data made available through this collection of linked elements comes from the SIRENA tool, created in January 2011 to build a set of organized and standardized geographic data for the Senegal River delta, with the aim of addressing the issue of governance in this area. A partnership with academics, GIS technicians, protected area managers, and users has been established.
An explicit request for research support was then made by the conservators and managers of this park and those of the Djoudj National Bird Sanctuary (PNOD) for a tool to create, analyze, and manage geographic data to address land management issues, as well as scientific support for environmental monitoring of the delta's protected areas.

The zoning of the municipalities in the Senegal River valleys is part of the data integrated into the SIRENA tool.
DOI: 10.15468/zwwvsb
title: Bhutan: Invasive Plant Species Observations

description: With the ratification of the Convention on Biological Diversity (CBD) in 1995 by the 73rd session of the National Assembly, the National Biodiversity Centre became the implementing agency for the CBD and the National Focal Point for the Nagoya Protocol on access to genetic resources and the fair and equitable sharing of benefits arising from their utilization, as designated during the 44th Commission meeting of the National Environment Commission. The Biodiversity Act of Bhutan 2022 mandates the National Biodiversity Centre, in consultation with relevant agencies, to serve as the National Focal Point, coordinate and develop national management strategies, and furnish a list of invasive alien species to regulatory authorities for import regulation. In line with this mandate, the National Biodiversity Centre, with funding support from Bhutan for Life, has conducted various field trips to record invasive plant species across the country.
DOI: 10.15468/dl.krke3h
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire astacicole du site Natura 2000 « Affluents rive droite de la Truyère amont » réalisé par Saint-Flour Communauté - Inventaire astacicole du site Natura 2000 « Affluents rive droite de la Truyère amont » année 2017"
 ]
}

 The dataset includes 294 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p6faz
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009351-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hxqct
title: Occurrence Download

description: A dataset containing 3430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scarthyla vigilans",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3430 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009352-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/prim-c46-2836
title: Mark L. Moody Collection

description: The Pacific Rim Archive (PRIM) brings together archival materials relating to America's first century of involvement in and impressions of East Asia (broadly interpreted as including activities from the 1840s through the 1940s). Trading relations predate this period, but not at the level that began to develop with the United States' active settlement of its Pacific shores. And, on the other hand, the level of American involvement in East Asia following the defeat of Japan, and particularly the outbreak of the Korean War was on a much different level than this first century of the "Pacific Rim."
DOI: 10.25549/prim-ouc1848760
title: Berger_19890629

description: The Pacific Rim Archive (PRIM) brings together archival materials relating to America's first century of involvement in and impressions of East Asia (broadly interpreted as including activities from the 1840s through the 1940s). Trading relations predate this period, but not at the level that began to develop with the United States' active settlement of its Pacific shores. And, on the other hand, the level of American involvement in East Asia following the defeat of Japan, and particularly the outbreak of the Korean War was on a much different level than this first century of the "Pacific Rim."