cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mfy8kg
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000934-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5crthm
title: Occurrence Download

description: A dataset containing 24493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Philaenus spumarius (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24493 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002362-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ubf3v
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gladiolus vaginatus F.Bolus"
 ]
}

 The dataset includes 104 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229220-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oqcwtg
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001796-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esynpz
title: Occurrence Download

description: A dataset containing 256361241 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset includes 256361241 records from 5207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001743-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1r5-ey4-srx
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2ht-sk1-2nd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v5b-nj4-yq4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p0f-4d6-52t
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s7l-0m1-sss
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1wl-t6p-2h4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9z2-c1b-rt8
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/42g-ytz-32t
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y2m-1zb-y9q
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gh9-myk-yww
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/htj-dw2-3c9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/km3-3wd-g45
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1az-yr2-hfn
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6tt-xcy-423
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h30-vdg-1r7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ycn-2mk-l3g
title: †Crurithyris George, 1931

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zgc-8jn-b3b
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ne5-chm-byw
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ymb-jlg-fl9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/66l-rr6-vn3
title: Belemnites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b9h-726-kgl
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16756889
title: Predictive Modeling of Respiratory Hospitalizations in Brazil Using Integrated Public Health and Environmental Data

description: This dataset contains information on hospital admissions due to respiratory diseases and atmospheric monitoring data for the city of Rio de Janeiro, Brazil.

The dataset integrates two main sources:





Hospital admissions (INTERNACOES_DOENCA_RESP_RJ.csv): Derived from the Brazilian Unified Health System (SUS) through DATASUS, filtered by ICD-10 codes starting with "J" (respiratory diseases). It provides daily aggregated records of hospitalizations between 2012 and 2024.




Air quality and meteorological data (QUALIAR_RIO_DE_JANEIRO_TRATADO.csv): Based on the DataRio/SMAC monitoring network, including daily aggregated measurements of pollutants (PM₂.₅, PM₁₀, NO₂, NOx, SO₂, CO, O₃) and meteorological variables (temperature, humidity, rainfall, etc.) across 8 monitoring stations in Rio de Janeiro, covering the same period.




Merged dataset (INTERNACOES_x_QUALIAR.csv): A unified table linking hospital admissions with atmospheric and meteorological indicators on a daily basis.



Purpose

The dataset was prepared to support research in public health, epidemiology, environmental sciences, and machine learning, particularly for predictive modeling of hospital admissions due to respiratory diseases based on air quality and climate variables.

Coverage





Geographical scope: Rio de Janeiro, Brazil




Temporal coverage: 2012–2024




Granularity: Daily aggregation



File descriptions





INTERNACOES_DOENCA_RESP_RJ.csv – Daily hospital admissions for respiratory diseases (DATASUS).




QUALIAR_RIO_DE_JANEIRO_TRATADO.csv – Cleaned and aggregated air quality and meteorological data.




INTERNACOES_x_QUALIAR.csv – Integrated dataset combining admissions and environmental variables.
DOI: 10.5281/zenodo.16756890
title: Predictive Modeling of Respiratory Hospitalizations in Brazil Using Integrated Public Health and Environmental Data

description: This dataset contains information on hospital admissions due to respiratory diseases and atmospheric monitoring data for the city of Rio de Janeiro, Brazil.

The dataset integrates two main sources:





Hospital admissions (INTERNACOES_DOENCA_RESP_RJ.csv): Derived from the Brazilian Unified Health System (SUS) through DATASUS, filtered by ICD-10 codes starting with "J" (respiratory diseases). It provides daily aggregated records of hospitalizations between 2012 and 2024.




Air quality and meteorological data (QUALIAR_RIO_DE_JANEIRO_TRATADO.csv): Based on the DataRio/SMAC monitoring network, including daily aggregated measurements of pollutants (PM₂.₅, PM₁₀, NO₂, NOx, SO₂, CO, O₃) and meteorological variables (temperature, humidity, rainfall, etc.) across 8 monitoring stations in Rio de Janeiro, covering the same period.




Merged dataset (INTERNACOES_x_QUALIAR.csv): A unified table linking hospital admissions with atmospheric and meteorological indicators on a daily basis.



Purpose

The dataset was prepared to support research in public health, epidemiology, environmental sciences, and machine learning, particularly for predictive modeling of hospital admissions due to respiratory diseases based on air quality and climate variables.

Coverage





Geographical scope: Rio de Janeiro, Brazil




Temporal coverage: 2012–2024




Granularity: Daily aggregation



File descriptions





INTERNACOES_DOENCA_RESP_RJ.csv – Daily hospital admissions for respiratory diseases (DATASUS).




QUALIAR_RIO_DE_JANEIRO_TRATADO.csv – Cleaned and aggregated air quality and meteorological data.




INTERNACOES_x_QUALIAR.csv – Integrated dataset combining admissions and environmental variables.
DOI: 10.3535/fc3-slt-qwl
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c3v-ds7-clb
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xl0-lj4-mvs
title: Phymatoceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bw8-h26-22v
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nve-dx8-z03
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/56p-wrw-mam
title: †Neochonetes Muir-Wood, 1962

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aka-zy1-vbt
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sg3-7af-d2m
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3yq-tzb-d7n
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8lb-dc0-4cv
title: †Solenastrea turonensis (Michelin, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5q8-c38-aj8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z83-0ne-hk5
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gl3-jr7-7vc
title: †Chonetinella Ramsbottom, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4vx-4rv-ek9
title: †Derbyia Waagen, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pev-5kj-4bp
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0xh-09a-k3h
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1dv-z0t-eel
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0y6-xkr-tmw
title: †Echinocorys ovatus (Leske, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2n6-2v1-g2e
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/azt-bdl-a3c
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hn6-zdm-9w7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vrw-xax-0b0
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/st8-9ey-n1a
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nc8-ts1-4x0
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xf8-78j-sab
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a8x-aat-xpk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r0c-zz1-451
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.smtu9y
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cecropia peltata",
 "Country is Côte d’Ivoire",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079117-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1702233.10fu
title: SH1702233.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1702454.10fu
title: SH1702454.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1702461.10fu
title: SH1702461.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1702470.10fu
title: SH1702470.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1702475.10fu
title: SH1702475.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1702488.10fu
title: SH1702488.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.48366/r699900
title: Robustness of Cyber-Physical Energy Systems: Incidents 

description: This comparison presents results from literature research regarding incidents in Cyber-Physical Energy Systems which endanger the systems' functionality, reliability and thus, its robustness. The incidents could have very different causes, as environmental states, attack or component faults. Furthermore, many different types of incidents are considered: disturbances, thefts, faults, threats, anomalies, intrusions, or attacks. In this comparison, the incidents are compared regarding causes, effects, goals, subcategory and suggested action. The latest category containts suggested detection methods, reactions, countermeasures, mitigation, or prevention strategies.
DOI: 10.15468/dl.6o3x1t
title: Occurrence Download

description: A dataset containing 1244300368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1244300368 records from 20564 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015628-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5z6spr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alternanthera sessilis",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087133-250717081556266/datasets/export for details.
DOI: 10.15468/dl.4jcqeh
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ludwigia peruviana",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087135-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egftuf
title: Occurrence Download

description: A dataset containing 496317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chenopodium album"
 ]
}

 The dataset includes 496317 records from 3059 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087024-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.