cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31231507.v1
title: Dados da pesquisa "<b>Fatores associados às reações adversas a medicamentos em pessoas idosas comunitárias</b>"

description: Objetivo: Avaliar os fatores associados às reações adversas a medicamentos (RAM) em pessoas idosas no contexto da Atenção Primária à Saúde (APS). Método: Estudo epidemiológico, transversal e analítico, realizado em Unidades Básicas de Saúde dos municípios de Caicó e Currais Novos, Rio Grande do Norte, Brasil. Foram investigadas variáveis sociodemográficas, hábitos comportamentais, presença de comorbidades, uso de medicamentos, percepção de saúde, ocorrência de reações adversas aos medicamentos. As variáveis de exposição foram: polifarmácia (uso de cinco ou mais medicamentos), uso de medicamentos potencialmente inapropriados; a variável de desfecho foi ocorrência de reações adversas potencialmente ameaçadoras à vida ou incapacitantes (delirium, sedação, hemorragias gastrintestinais, quedas, fraturas). Para análise dos dados, foi empregada a estatística descritiva seguida de análise bivariada (Qui-quadrado) para investigar variáveis de associação e análise multivariada (regressão logística binária). Resultados: No total, 100 pessoas com 60 anos ou mais de idade foram incluídas no estudo. A polifarmácia foi identificada em 44% dos entrevistados, o uso e MPI em 28%, e 41% relataram alguma RAM, sendo a queda o evento adverso mais prevalente (26%). A análise bivariada associou RAM com comorbidade, polifarmácia e MPI (p &lt; 0,001). Na análise multivariada, a polifarmácia manteve-se como fator de risco independente associado (p &lt; 0,01) para RAM. Conclusão: A polifarmácia constitui o principal fator associado às RAM em pessoas idosas. O fortalecimento de práticas de prescrição racional, protocolos clínicos e a atuação interprofissional (médico-farmacêutico) são essenciais para mitigar riscos e garantir a segurança terapêutica na APS.
DOI: 10.15468/dl.myapmu
title: Occurrence Download

description: A dataset containing 3370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aconitum variegatum, Aconitum variegatum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3370 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007247-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjzkw6
title: Occurrence Download

description: A dataset containing 2985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus aztecus",
 "HasCoordinate is true",
 "Year is greater than or equal to 2008",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 2985 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007246-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/55467b8d0a314f408e73175d553fbdb1
title: ICECAPS-MELT: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)

description: Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.

This work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.
DOI: 10.15468/dl.6rwyvw
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "OccurrenceStatus is Present",
 "Year 2025-2026"
 ]
}

 The dataset includes 330 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007248-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3zmzx
title: Occurrence Download

description: A dataset containing 26652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((0.6361855376082111 51.59172262706892, 0.6340936895247219 51.600434422395196, 0.6293116699104443 51.608724478141596, 0.6220220470904141 51.616273910647, 0.6125042256028862 51.62279218104819, 0.6011238209436499 51.62802832423085, 0.5883186324427999 51.63178066515785, 0.5745817495873338 51.633904638213004, 0.5604424514710525 51.63431839850882, 0.5464456565048521 51.633006000991635, 0.5331307443373162 51.63001801999052, 0.5210106001987839 51.625469584361184, 0.51055172185522 51.6195359069966, 0.5021561816590413 51.61244548756691, 0.4961461537239241 51.60447125947862, 0.4927516039460653 51.595920032255904, 0.4921016048968511 51.58712064557673, 0.4942195859186503 51.57841129862806, 0.4990226687838494 51.57012654677621, 0.5063250784804528 51.56258446621393, 0.5158454637779802 51.55607447653884, 0.5272178188530324 51.55084628220008, 0.5400055698426639 51.54710034809457, 0.5537182819608383 51.54498026445651, 0.5678303558955767 51.5445672840438, 0.5818010178816136 51.54587723317967, 0.5950948667887753 51.54885991027968, 0.6072022240792224 51.55340099396043, 0.6176585386625232 51.559326390597676, 0.6260621284847392 51.56640886118719, 0.6320895939405262 51.574376682460525, 0.6355083144271904 51.58292402027162, 0.6361855376082111 51.59172262706892))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)"
 ]
}

 The dataset includes 26652 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007249-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17348764
title: Reproduction package for the paper:  "Dynamics of the Uranian system III. The passage through the 7/4 Miranda-Ariel MMR"

description: This is a basic reproduction package for the paper "Dynamics of the Uranian System. III The passage through the 7/4 Miranda-Ariel MMR" by [Gomes & Keizer (2026)](https://doi.org/10.1016/j.icarus.2026.116974).
DOI: 10.15468/dl.h3dwxc
title: Occurrence Download

description: A dataset containing 355540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Parabuteo unicinctus"
 ]
}

 The dataset includes 355540 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007197-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17348763
title: Reproduction package for the paper:  "Dynamics of the Uranian system III. The passage through the 7/4 Miranda-Ariel MMR"

description: This is a basic reproduction package for the paper "Dynamics of the Uranian System. III The passage through the 7/4 Miranda-Ariel MMR" by [Gomes & Keizer (2026)](https://doi.org/10.1016/j.icarus.2026.116974).
DOI: 10.15468/dl.ve6zn2
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019",
 "IucnRedListCategory is one of (EN, VU)"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007225-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/a49b455ac2c44d4e9a365c001c9f575f
title: ICECAPS-MELT: Permittivity-based snow density from two 1-m snow profiles in SW Greenland (May 2024)

description: Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.

This work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.
DOI: 10.15468/dl.eyy4zt
title: Occurrence Download

description: A dataset containing 5476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Material sample, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Donacia cinerea"
 ]
}

 The dataset includes 5476 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007255-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pf95zu
title: Occurrence Download

description: A dataset containing 8614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenostyles alliariae)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 8614 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007251-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7r25k
title: Occurrence Download

description: A dataset containing 9349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens parviflora",
 "Year 2020-2024"
 ]
}

 The dataset includes 9349 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007252-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v75j7p
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zollingeria dongnaiensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007250-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/0eaf19b647c54f489f5c5cbb8d0d83ab
title: ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024)

description: Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.

This work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.
DOI: 10.15468/dl.7zkvtu
title: Occurrence Download

description: A dataset containing 44254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is one of (Silurus glanis, Salvelinus umbla, Salmo trutta, Oncorhynchus mykiss, Coregonus, Perca fluviatilis, Gymnocephalus cernua, Sander lucioperca, Lota lota, Esox lucius, Tinca tinca, Squalius cephalus, Scardinius erythrophthalmus, Rutilus rutilus, Abramis brama, Gobio gobio, Cyprinus carpio, Barbus barbus, Alburnus alburnus, Rhodeus amarus, Lepomis gibbosus, Anguilla anguilla)"
 ]
}

 The dataset includes 44254 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007257-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/n1g0ao
title: DataPop_long_profile2_23012026_191425.csv

description: Main survey answers dataset
DOI: 10.7266/hqtj13qm
title: Storm surge vulnerability map of the Texas coast considering two projected sea level rise scenarios
DOI: 10.5281/zenodo.18451345
title: ReproFlake Results
DOI: 10.5281/zenodo.18451344
title: ReproFlake Results
DOI: 10.15468/dl.q4g9py
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucaltis nausicaae",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "Continent is Europe",
 "HasCoordinate is true",
 "MediaType is Image"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007258-260129131611470/datasets/export for details.
DOI: 10.15468/dl.gypgwq
title: Occurrence Download

description: A dataset containing 1440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adonis vernalis, Adonis vernalis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1440 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007260-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as99ag
title: Occurrence Download

description: A dataset containing 12170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenostyles alpina, Adenostyles alpina, Adenostyles alpina, Adenostyles glabra)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12170 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007259-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14710274
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.31126918
title: Wildfires in the Pan-Amazon: what is known about health impacts on affected populations?

description: According to the World Health Organization, climate change is associated with detrimental health effects through air pollution, increased risk of infectious diseases, as well as extreme heat and drought. The rise in wildfires, exacerbated by climate change, plays a fundamental role in air pollution by emitting diverse pollutants responsible for adverse health effects, environmental and economic damage, directly impacting the health of populations, especially the most vulnerable. This study aimed to evaluate the effects on human health stemming from exposure to wildfire smoke in the Amazon region. For this purpose, a literature review following the PRISMA methodology was conducted in the Web of Science, PubMed, LILACS, and Scopus databases, with no restrictions for biological sex or time frame using descriptors such as “Exposure”, “Health effect*”, “Wildfire*”, and “Air pollution”. Articles in English, Spanish, and Portuguese were included. A total of 302 articles were identified, of which 30 met the inclusion and exclusion criteria. Studies were identified only in the Brazilian Amazon, and the groups most susceptible to smoke effects were children up to 5 years old and the elderly aged 60 and above, in addition to individuals with preexisting comorbidities. Only one article conducted a biomonitoring study in the region; the others worked with hospital admission data. Coordinated health actions are necessary to protect the health of exposed populations, especially those in conditions of social vulnerability, to ensure health protection and adequate environmental safety. Except for Brazil, no other Amazon biome country has studies on exposed populations’ health. Only one study conducted biomonitoring of exposed populations. Children, elderly, and individuals with comorbidities are the most vulnerable groups. Most studies assessed PM2.5 effects on health. Populations with greater social vulnerability are the most affected.
DOI: 10.6084/m9.figshare.31126918.v1
title: Wildfires in the Pan-Amazon: what is known about health impacts on affected populations?

description: According to the World Health Organization, climate change is associated with detrimental health effects through air pollution, increased risk of infectious diseases, as well as extreme heat and drought. The rise in wildfires, exacerbated by climate change, plays a fundamental role in air pollution by emitting diverse pollutants responsible for adverse health effects, environmental and economic damage, directly impacting the health of populations, especially the most vulnerable. This study aimed to evaluate the effects on human health stemming from exposure to wildfire smoke in the Amazon region. For this purpose, a literature review following the PRISMA methodology was conducted in the Web of Science, PubMed, LILACS, and Scopus databases, with no restrictions for biological sex or time frame using descriptors such as “Exposure”, “Health effect*”, “Wildfire*”, and “Air pollution”. Articles in English, Spanish, and Portuguese were included. A total of 302 articles were identified, of which 30 met the inclusion and exclusion criteria. Studies were identified only in the Brazilian Amazon, and the groups most susceptible to smoke effects were children up to 5 years old and the elderly aged 60 and above, in addition to individuals with preexisting comorbidities. Only one article conducted a biomonitoring study in the region; the others worked with hospital admission data. Coordinated health actions are necessary to protect the health of exposed populations, especially those in conditions of social vulnerability, to ensure health protection and adequate environmental safety. Except for Brazil, no other Amazon biome country has studies on exposed populations’ health. Only one study conducted biomonitoring of exposed populations. Children, elderly, and individuals with comorbidities are the most vulnerable groups. Most studies assessed PM2.5 effects on health. Populations with greater social vulnerability are the most affected.
DOI: 10.5281/zenodo.16614080
title: Rotary Tube Bending Process Dataset

description: This dataset contains real-world data from 318 rotary tube bending processes, including 3 failed cases (IDs 1, 48, and 166). It is stored in a serialized Python pickle file named experiments_process_and_results.pkl (~800 MB) and is intended as a benchmark for machine learning and signal analysis methods.  The dataset includes:

A. Bending Setups:





Tube: Outer Diameter, and Wall Thickness.




Machine: Bending Target Angle, Wiper Die Shortening, Pressure Die( Lateral Position, Distance, Boost), Mandrel (Position, Retraction Timing), Collet Boost, and Clamp Die Lateral Position.



B. Process Parameters:



Loads





Machine: Bend Die (Lateral, Rotating, Vertical), Clamp Die Lateral, Collet (Axial, Rotating), Mandrel Axial, and Pressure Die (Axial, Lateral, Left Axial).




Sensor: Mandrel Axial, Pressure Die (Lateral 1, Lateral 2).









Movements





Bend Die (Lateral, Rotating, Vertical), Clamp Die Lateral, Collet (Axial, Rotating), Mandrel Axial, and Pressure Die (Axial, Lateral, Left Axial).





C. Geometry Data:





STL-Suitable:





Linear 1: 50 series of datasets from one endpoint of the arc.




Arc: Datasets ranging from 0 to the bending target angle, going up every 1 degree.




Linear 2: 25 series of datasets from another endpoint of the arc.






Key Characteristics:





Linear 1: Secondary Axis, Main Axis, and Out of Roundness.




Arc: Secondary Axis, Main Axis, and Out of Roundness.


Linear 2: Secondary Axis, Main Axis, and Out of Roundness.




 

To load, explore, and visualize data from this dataset, follow the steps in the GitHub repository:  https://github.com/zeyneddinoz/tubebend

Additionally, to see the visualization of experiments, you can see the stl files in "stl_files_of_experiments.zip". 

Affiliation: University of Siegen, NRW, Germany

Funding: This work was funded by the Deutsche Forschungsgemeinschaft (DFG) – Project-ID: 520256321.