cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.14767
title: PNNL-WACCEM CAM-MPAS-LR model output prepared for CMIP6 HighResMIP highresSST-future

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.HighResMIP.PNNL-WACCEM.CAM-MPAS-LR.highresSST-future' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CAM MPAS (Community Atmosphere Model - Model for Prediction Across Scales) climate model, released in 2018, includes the following components:
 aerosol: none, prescribed MACv2-SP, atmos: CAM-MPAS (CAMv5.4 with Grell-Freitas deep convection; MPASv4, C-grid staggered centroidal Voronoi tesselation atmosphere 120 km mesh with 40962 cells and 122880 edges; 32 vertical levels, model top 40363 m), land: CLM (v4.0, same grid as atmos), River Transport Model (v1.0). 
The model was run by the PNNL (Pacific Northwest National Laboratory), Richland, WA 99352, USA (PNNL-WACCEM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.14769
title: PNNL-WACCEM CAM-MPAS-LR model output prepared for CMIP6 HighResMIP highresSST-present

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.HighResMIP.PNNL-WACCEM.CAM-MPAS-LR.highresSST-present' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CAM MPAS (Community Atmosphere Model - Model for Prediction Across Scales) climate model, released in 2018, includes the following components:
 aerosol: none, prescribed MACv2-SP, atmos: CAM-MPAS (CAMv5.4 with Grell-Freitas deep convection; MPASv4, C-grid staggered centroidal Voronoi tesselation atmosphere 120 km mesh with 40962 cells and 122880 edges; 32 vertical levels, model top 40363 m), land: CLM (v4.0, same grid as atmos), River Transport Model (v1.0). 
The model was run by the PNNL (Pacific Northwest National Laboratory), Richland, WA 99352, USA (PNNL-WACCEM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.13130/rd_unimi/qa4bro/z2npqa
title: 250408_NONOPT2_TensileTest_008.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_008.tif
DOI: 10.13130/rd_unimi/qa4bro/wre2yq
title: 250408_NONOPT2_TensileTest_009.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_009.tif
DOI: 10.13130/rd_unimi/qa4bro/zvnp8o
title: 250408_NONOPT2_TensileTest_010.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_010.tif
DOI: 10.13130/rd_unimi/qa4bro/mhk6or
title: 250408_NONOPT2_TensileTest_012.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_012.tif
DOI: 10.13130/rd_unimi/qa4bro/zcygcv
title: 250408_NONOPT2_TensileTest_011.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_011.tif
DOI: 10.13130/rd_unimi/qa4bro/suow8d
title: 250408_NONOPT2_TensileTest_013.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_013.tif
DOI: 10.13130/rd_unimi/qa4bro/kt7uj9
title: 250408_NONOPT2_TensileTest_014.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_014.tif
DOI: 10.13130/rd_unimi/qa4bro/ztynnh
title: 250408_NONOPT2_TensileTest_015.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_015.tif
DOI: 10.13130/rd_unimi/qa4bro/glbehj
title: 250408_NONOPT2_TensileTest_016.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_016.tif
DOI: 10.13130/rd_unimi/qa4bro/lydw5v
title: 250408_NONOPT2_TensileTest_017.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_017.tif
DOI: 10.13130/rd_unimi/qa4bro/pqk6kv
title: 250408_NONOPT2_TensileTest_018.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_018.tif
DOI: 10.13130/rd_unimi/qa4bro/c6uxx1
title: 250408_NONOPT2_TensileTest_019.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_019.tif
DOI: 10.13130/rd_unimi/qa4bro/thkk5v
title: 250408_NONOPT2_TensileTest_020.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_020.tif
DOI: 10.13130/rd_unimi/qa4bro/n8mq9t
title: 250408_NONOPT2_TensileTest_021.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_021.tif
DOI: 10.13130/rd_unimi/qa4bro/ac9sbn
title: 250408_NONOPT2_TensileTest_022.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_022.tif
DOI: 10.13130/rd_unimi/qa4bro/r26vaq
title: 250408_NONOPT2_TensileTest_023.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_023.tif
DOI: 10.13130/rd_unimi/qa4bro/3o2sze
title: 250408_NONOPT2_TensileTest_024.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_024.tif
DOI: 10.15468/dl.z72d2r
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplorhus peruviana",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027255-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/qa4bro/2pg1sb
title: 250408_NONOPT2_TensileTest_025.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_025.tif
DOI: 10.13130/rd_unimi/qa4bro/chmm6v
title: 250408_NONOPT2_TensileTest_026.tif

description: 250729_EXPERIMENTAL_DATA/250408_NONOPT2_Video 250408_NONOPT2_TensileTest_026.tif
DOI: 10.6084/m9.figshare.28000850
title: SC-PREC4SA metadata

description: A file (.csv) that provides information about each station used for the development of a serially complete daily precipitation dataset for South America (SC-PREC4SA).
DOI: 10.15468/dl.mxmzv8
title: Occurrence Download

description: A dataset containing 1077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-97.34257 18.81397,-96.41889 18.81397,-96.41889 19.66712,-97.34257 19.66712,-97.34257 18.81397))",
 "TaxonKey is Passifloraceae"
 ]
}

 The dataset includes 1077 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009969-250515123054153/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.28045901
title: SC-PREC4SA data - full

description: Files (.csv) for each station that include the nine daily precipitation (mm/day) outputs for the development of a serially complete daily precipitation dataset for South America (SC-PREC4SA) from 1960 to 2015. Each file contains the following information (<b>headers</b>): time step (<b>time_step</b>), raw time series (<b>raw_obs</b>), quality-controlled time series (<b>qc_obs</b>), gap-filling model prediction (<b>mod_pred</b>), gap-filling model prediction with a bias correction (<b>bc_pred</b>), error of gap-filling model prediction (<b>err</b>), quality-controlled time series plus mod_pred (<b>obs_mod</b>), quality-controlled time series plus bc_pred (<b>obs_bc</b>), homogenized time series of obs_mod (<b>hmg_obs_mod</b>); and, homogenized time series of obs_bc (<b>hmg_obs_bc</b>). Due to the number of stations, files are subdivided by ecoregions compressed folders (.zip).
DOI: 10.6084/m9.figshare.28045901.v2
title: SC-PREC4SA data - full

description: Files (.csv) for each station that include the nine daily precipitation (mm/day) outputs for the development of a serially complete daily precipitation dataset for South America (SC-PREC4SA) from 1960 to 2015. Each file contains the following information (<b>headers</b>): time step (<b>time_step</b>), raw time series (<b>raw_obs</b>), quality-controlled time series (<b>qc_obs</b>), gap-filling model prediction (<b>mod_pred</b>), gap-filling model prediction with a bias correction (<b>bc_pred</b>), error of gap-filling model prediction (<b>err</b>), quality-controlled time series plus mod_pred (<b>obs_mod</b>), quality-controlled time series plus bc_pred (<b>obs_bc</b>), homogenized time series of obs_mod (<b>hmg_obs_mod</b>); and, homogenized time series of obs_bc (<b>hmg_obs_bc</b>). Due to the number of stations, files are subdivided by ecoregions compressed folders (.zip).
DOI: 10.15468/dl.9krtjn
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "DatasetKey is one of (Natural History Museum (London) Collection Specimens, Field Museum of Natural History (Zoology) Mammal Collection, AMNH Mammal Collections, Museu de Ciències Naturals de Barcelona: MCNB-Cord, Observation.org, Nature data from around the World, Royal Ontario Museum - Mammalogy, Museum of Comparative Zoology, Harvard University, Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles (Opportunistic Records))",
 "TaxonKey is Leontocebus lagonotus"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080962-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vjchyb977w
title: A Systematic Literature Mapping of Machine Learning for Handover Optimization in Cellular Network

description: This repository contains the dataset generated from the systematic literature mapping (SLM) on machine learning-based handover optimization in cellular networks. It includes the list of selected studies, classification criteria, extracted metadata, and supporting materials used throughout the study. For a comprehensive understanding, please refer to the associated paper.
DOI: 10.17632/vjchyb977w.1
title: A Systematic Literature Mapping of Machine Learning for Handover Optimization in Cellular Network

description: This repository contains the dataset generated from the systematic literature mapping (SLM) on machine learning-based handover optimization in cellular networks. It includes the list of selected studies, classification criteria, extracted metadata, and supporting materials used throughout the study. For a comprehensive understanding, please refer to the associated paper.
DOI: 10.17632/s3rfhdc86p
title: Dyslipidemia and Associated Factors among People Living with HIV on Dolutegravir-based Antiretroviral therapy in Central Uganda

description: This dataset accompanies a cross-sectional study that assessed the prevalence of and factors associated with dyslipidemia among adults living with HIV on dolutegravir (DTG)-based antiretroviral therapy (ART) in central Uganda. The research was guided by the hypothesis that DTG-based ART is associated with a high burden of dyslipidemia, and that specific demographic, clinical, and anthropometric characteristics may influence this risk. The data were collected from 281 systematically sampled adults who had been on DTG-based ART for at least six months, attending care at Kira Health Centre IV in Wakiso District.

The dataset includes information obtained through structured interviewer-administered questionnaires, medical record reviews, anthropometric measurements, and laboratory testing. Variables captured include age, sex, education, ART duration, lifestyle behaviors, comorbidities, viral load, body mass index, waist and hip circumference, and fasting lipid profiles including total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides. Data were collected by trained research assistants following standardized procedures, and all laboratory analyses were conducted in certified clinical laboratories.

The study found that 44.1% of participants had dyslipidemia, with low HDL cholesterol being the most common abnormality, affecting 39.9% of the sample. Elevated total cholesterol and LDL cholesterol were less common, affecting 5.7% and 5.0% of participants, respectively. Multivariable logistic regression analysis was used to identify associated factors, and waist circumference demonstrated a moderate ability to predict dyslipidemia with an area under the ROC curve of 0.577 (95% CI: 0.511–0.644).

This dataset provides valuable insight into the metabolic complications associated with modern HIV treatment regimens in sub-Saharan Africa. It highlights the need for routine lipid monitoring and risk assessment among patients on DTG-based ART. The data can be interpreted to explore associations between ART and cardiovascular risk, assess the predictive value of obesity indices, and inform guidelines on the management of non-communicable disease comorbidities in HIV care settings. Researchers, clinicians, and public health practitioners may find this dataset useful for secondary analyses, modeling, or policy development. Ethical approval was obtained, and all participants provided informed consent. The data have been anonymized and prepared for safe public sharing.
DOI: 10.17632/s3rfhdc86p.1
title: Dyslipidemia and Associated Factors among People Living with HIV on Dolutegravir-based Antiretroviral therapy in Central Uganda

description: This dataset accompanies a cross-sectional study that assessed the prevalence of and factors associated with dyslipidemia among adults living with HIV on dolutegravir (DTG)-based antiretroviral therapy (ART) in central Uganda. The research was guided by the hypothesis that DTG-based ART is associated with a high burden of dyslipidemia, and that specific demographic, clinical, and anthropometric characteristics may influence this risk. The data were collected from 281 systematically sampled adults who had been on DTG-based ART for at least six months, attending care at Kira Health Centre IV in Wakiso District.

The dataset includes information obtained through structured interviewer-administered questionnaires, medical record reviews, anthropometric measurements, and laboratory testing. Variables captured include age, sex, education, ART duration, lifestyle behaviors, comorbidities, viral load, body mass index, waist and hip circumference, and fasting lipid profiles including total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides. Data were collected by trained research assistants following standardized procedures, and all laboratory analyses were conducted in certified clinical laboratories.

The study found that 44.1% of participants had dyslipidemia, with low HDL cholesterol being the most common abnormality, affecting 39.9% of the sample. Elevated total cholesterol and LDL cholesterol were less common, affecting 5.7% and 5.0% of participants, respectively. Multivariable logistic regression analysis was used to identify associated factors, and waist circumference demonstrated a moderate ability to predict dyslipidemia with an area under the ROC curve of 0.577 (95% CI: 0.511–0.644).

This dataset provides valuable insight into the metabolic complications associated with modern HIV treatment regimens in sub-Saharan Africa. It highlights the need for routine lipid monitoring and risk assessment among patients on DTG-based ART. The data can be interpreted to explore associations between ART and cardiovascular risk, assess the predictive value of obesity indices, and inform guidelines on the management of non-communicable disease comorbidities in HIV care settings. Researchers, clinicians, and public health practitioners may find this dataset useful for secondary analyses, modeling, or policy development. Ethical approval was obtained, and all participants provided informed consent. The data have been anonymized and prepared for safe public sharing.
DOI: 10.17632/vdpp3nw3vn
title: Phase field modeling of fatigue fracture

description: This dataset contains Julia source code implementing a phase field method for simulating high-cycle fatigue fracture in materials. The code features an adaptive switching algorithm that alternates between Newton-Raphson and Modified Newton-Raphson solution schemes for computational efficiency. This implementation supports 2D single edge notched tension (SENT) specimens under displacement-controlled loading conditions. The code includes multiple fatigue degradation functions, strain decomposition strategies, and automatic crack tracking capabilities with VTK output for visualization.
Keywords: Phase field modeling, High-cycle fatigue, Crack propagation
If you use this code in your research, please cite the following paper::

Azinpour, E., Gil, J., Darabi, R., De Jesus, A., Reis, A., & De Sá, J. C. (2025). High-cycle fatigue analysis of laser-based directed energy deposition maraging steels: Combined phase field and experimental studies. International Journal of Fatigue, 198, 108970.
DOI: 10.17632/vdpp3nw3vn.1
title: Phase field modeling of fatigue fracture

description: This dataset contains Julia source code implementing a phase field method for simulating high-cycle fatigue fracture in materials. The code features an adaptive switching algorithm that alternates between Newton-Raphson and Modified Newton-Raphson solution schemes for computational efficiency. This implementation supports 2D single edge notched tension (SENT) specimens under displacement-controlled loading conditions. The code includes multiple fatigue degradation functions, strain decomposition strategies, and automatic crack tracking capabilities with VTK output for visualization.
Keywords: Phase field modeling, High-cycle fatigue, Crack propagation
If you use this code in your research, please cite the following paper::

Azinpour, E., Gil, J., Darabi, R., De Jesus, A., Reis, A., & De Sá, J. C. (2025). High-cycle fatigue analysis of laser-based directed energy deposition maraging steels: Combined phase field and experimental studies. International Journal of Fatigue, 198, 108970.
DOI: 10.17632/d3cby7cv57.2
title: Raw data for manuscript "Formation of Condition-Dependent Alpha-Synuclein Fibril Strain in Artificial Cerebrospinal Fluid "

description: Raw data for manuscript "Formation of Condition-Dependent Alpha-Synuclein Fibril Strain in Artificial Cerebrospinal Fluid "
DOI: 10.17632/mvtzt3by4r
title: Cardiac Ketone Body Oxidation Enhances Exercise Performance

description: Source data for Circ Res. 2025 Jul 7;137(2):350-353: The data included in this dataset comprise the source data for "Cardiac Ketone Body Oxidation Enhances Exercise Performance", which was published in Circulation Research on July 7, 2025. Included are the source data for exercise capacity tests, circulating nutrient levels, cardiac work measurements, and mass spectrometric purity analyses,.
DOI: 10.17632/mvtzt3by4r.1
title: Cardiac Ketone Body Oxidation Enhances Exercise Performance

description: Source data for Circ Res. 2025 Jul 7;137(2):350-353: The data included in this dataset comprise the source data for "Cardiac Ketone Body Oxidation Enhances Exercise Performance", which was published in Circulation Research on July 7, 2025. Included are the source data for exercise capacity tests, circulating nutrient levels, cardiac work measurements, and mass spectrometric purity analyses,.
DOI: 10.15468/dl.69q4dp
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Malacology Collection at the Academy of Natural Sciences of Philadelphia",
 "Issue is Country derived from coordinates"
 ]
}

 The dataset includes 765 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008584-250415084134356/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.29565068.v35
title: Logic 14 pdf NEW

description: Logic innovation
DOI: 10.15468/dl.69jc9t
title: Occurrence Download

description: A dataset containing 55600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1000-1975"
 ]
}

 The dataset includes 55600 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082027-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.