cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.13688
title: IPSL IPSL-CM5A2-INCA model output prepared for CMIP6 AerChemMIP ssp370-lowNTCF

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.IPSL.IPSL-CM5A2-INCA.ssp370-lowNTCF' 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 IPSL-CM5A2-INCA climate model, released in 2019, includes the following components:
 aerosol: INCA v6 NMHC-AER-S, atmos: LMDZ (APv5; 96 x 96 longitude/latitude; 39 levels; top level 80000 m), atmosChem: INCA v6 NMHC-AER-S, land: ORCHIDEE (IPSLCM5A2.1, Water/Carbon/Energy mode), ocean: NEMO-OPA (v3.6, ORCA2 tripolar primarily 2deg; 182 x 149 longitude/latitude; 31 levels; top grid cell 0-10 m), ocnBgchem: NEMO-PISCES, seaIce: NEMO-LIM2. 
The model was run by the Institut Pierre Simon Laplace, Paris 75252, France (IPSL) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 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/cmip6.13689
title: IPSL IPSL-CM5A2-INCA model output prepared for CMIP6 AerChemMIP ssp370-lowNTCFCH4

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.IPSL.IPSL-CM5A2-INCA.ssp370-lowNTCFCH4' 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 IPSL-CM5A2-INCA climate model, released in 2019, includes the following components:
 aerosol: INCA v6 NMHC-AER-S, atmos: LMDZ (APv5; 96 x 96 longitude/latitude; 39 levels; top level 80000 m), atmosChem: INCA v6 NMHC-AER-S, land: ORCHIDEE (IPSLCM5A2.1, Water/Carbon/Energy mode), ocean: NEMO-OPA (v3.6, ORCA2 tripolar primarily 2deg; 182 x 149 longitude/latitude; 31 levels; top grid cell 0-10 m), ocnBgchem: NEMO-PISCES, seaIce: NEMO-LIM2. 
The model was run by the Institut Pierre Simon Laplace, Paris 75252, France (IPSL) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, atmosChem: 500 km, land: 500 km, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 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: 10.6084/m9.figshare.29851561
title: Hidden identity simulation: Using secret character roles to practice navigating event medical team dynamics

description: Interdisciplinary medical teams often collaborate for the first time at mass-gathering events. Simulation helps participants navigate interpersonal dynamics. A gamified simulation could offer an engaging, low-stakes method to introduce emotionally charged topics like team conflict. Hidden Identity Simulation (HID SIM) is a gamified simulation where participants with randomly assigned secret character roles (e.g. ‘The Know-It-All’) navigate diverse personalities while managing a case. A debrief highlights team dynamic management strategies. A serotonin toxicity case was piloted using HID SIM in a simulation theatre. Twenty-nine participants randomly selected character cards that outline personality descriptions and conditions that modify character intensity. Participants responded positively, rating HID SIM 4.75/5 overall and 4.43/5 for engagement (<i>n</i> = 28). ‘Less stressful than anticipated’ scored 3.54/5 (<i>n</i> = 28), and ‘less stressful than other simulations’ was rated 3.68/5 (<i>n</i> = 19). Participants rated their pre-/post-simulation self-efficacy in several teamwork and medical competencies. All competencies showed statistically significant increases (<i>p</i> &lt; 0.001) post-simulation. Future steps include writing new character cards, expanding HID SIM to other clinical settings, and designing customized decks targeting specific team dynamics.
DOI: 10.6084/m9.figshare.29851561.v1
title: Hidden identity simulation: Using secret character roles to practice navigating event medical team dynamics

description: Interdisciplinary medical teams often collaborate for the first time at mass-gathering events. Simulation helps participants navigate interpersonal dynamics. A gamified simulation could offer an engaging, low-stakes method to introduce emotionally charged topics like team conflict. Hidden Identity Simulation (HID SIM) is a gamified simulation where participants with randomly assigned secret character roles (e.g. ‘The Know-It-All’) navigate diverse personalities while managing a case. A debrief highlights team dynamic management strategies. A serotonin toxicity case was piloted using HID SIM in a simulation theatre. Twenty-nine participants randomly selected character cards that outline personality descriptions and conditions that modify character intensity. Participants responded positively, rating HID SIM 4.75/5 overall and 4.43/5 for engagement (<i>n</i> = 28). ‘Less stressful than anticipated’ scored 3.54/5 (<i>n</i> = 28), and ‘less stressful than other simulations’ was rated 3.68/5 (<i>n</i> = 19). Participants rated their pre-/post-simulation self-efficacy in several teamwork and medical competencies. All competencies showed statistically significant increases (<i>p</i> &lt; 0.001) post-simulation. Future steps include writing new character cards, expanding HID SIM to other clinical settings, and designing customized decks targeting specific team dynamics.
DOI: 10.5281/zenodo.15223261
title: Knowledge Graph Functions in NFDI

description: The dataset contains use case examples from Knowledge Graph (KG) projects across the NFDI consortia, including the KG names, as well as the challenges the consortia faced in the process of employing a KG for the consortium. Lastly, the functions supported by the KGs are organized according to several categories.
DOI: 10.5281/zenodo.16759011
title: Knowledge Graph Functions in NFDI

description: The dataset contains use case examples from Knowledge Graph (KG) projects across the NFDI consortia, including the KG names, as well as the challenges the consortia faced in the process of employing a KG for the consortium. Lastly, the functions supported by the KGs are organized according to several categories.
DOI: 10.6084/m9.figshare.29851538
title: <i>Aspergillus fumigatus</i> effector crpA orchestrates host prostaglandin signaling to promote fungal virulence

description: Conidia are the primary infection structures in <i>Aspergillus fumigatus</i>, the etiologic agent of aspergillosis. Here, we characterized CrpA (a cysteine-rich protein), a conidial surface-associated protein important for fungal evasion and host immunity modulation. Δ<i>crpA</i> conidia elicited decreased production of pro-inflammatory cytokines and increased production of anti-inflammatory cytokine IL-10 from murine macrophages and in the lungs of infected mice. Murine macrophages exposed to Δ<i>crpA </i>conidia produce significantly higher levels of the prostaglandins PGE2 and PGD2, suggesting that deletion of CrpA modulates cytokine production through effects on eicosanoid signaling. While Δ<i>crpA </i>spores have lower virulence in larval zebrafish, this difference is abrogated in larvae that cannot produce prostaglandins. The CrpA protein can directly modulate PGE2 and cytokine production by macrophages, and solid-state NMR shows that Δ<i>crpA</i> swollen conidia present lower β-1,3-glucan and chitin than the wild-type strain, suggesting that the effects of the Δ<i>crpA</i> mutant on macrophages are due to the combinatorial effects of direct CrpA action and altered cell wall PAMP recognition. Δ<i>crpA</i> mutants are avirulent in an immunocompetent murine model of aspergillosis, and high CrpA-specific IgG responses were found in antisera from individual patients with invasive pulmonary aspergillosis, suggesting a role for CrpA in <i>A. fumigatus</i> pathogenesis<i>.</i><br>
DOI: 10.6084/m9.figshare.29851538.v1
title: <i>Aspergillus fumigatus</i> effector crpA orchestrates host prostaglandin signaling to promote fungal virulence

description: Conidia are the primary infection structures in <i>Aspergillus fumigatus</i>, the etiologic agent of aspergillosis. Here, we characterized CrpA (a cysteine-rich protein), a conidial surface-associated protein important for fungal evasion and host immunity modulation. Δ<i>crpA</i> conidia elicited decreased production of pro-inflammatory cytokines and increased production of anti-inflammatory cytokine IL-10 from murine macrophages and in the lungs of infected mice. Murine macrophages exposed to Δ<i>crpA </i>conidia produce significantly higher levels of the prostaglandins PGE2 and PGD2, suggesting that deletion of CrpA modulates cytokine production through effects on eicosanoid signaling. While Δ<i>crpA </i>spores have lower virulence in larval zebrafish, this difference is abrogated in larvae that cannot produce prostaglandins. The CrpA protein can directly modulate PGE2 and cytokine production by macrophages, and solid-state NMR shows that Δ<i>crpA</i> swollen conidia present lower β-1,3-glucan and chitin than the wild-type strain, suggesting that the effects of the Δ<i>crpA</i> mutant on macrophages are due to the combinatorial effects of direct CrpA action and altered cell wall PAMP recognition. Δ<i>crpA</i> mutants are avirulent in an immunocompetent murine model of aspergillosis, and high CrpA-specific IgG responses were found in antisera from individual patients with invasive pulmonary aspergillosis, suggesting a role for CrpA in <i>A. fumigatus</i> pathogenesis<i>.</i><br>
DOI: 10.15468/dl.anzcat
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Dominica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024851-250802193616735/datasets/export for details.
DOI: 10.15468/dl.wgk7za
title: Occurrence Download

description: A dataset containing 3740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3740 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024852-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcvgm5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024853-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7scaaj
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tethys fimbria"
 ]
}

 The dataset includes 253 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024855-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv6c25
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Vanellus chilensis)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024856-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4ax3b
title: Occurrence Download

description: A dataset containing 3884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Pandion haliaetus"
 ]
}

 The dataset includes 3884 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024857-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knybyx
title: Occurrence Download

description: A dataset containing 64941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilotula fusca)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 64941 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024837-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759862
title: ROSA and RSME Raw Data
DOI: 10.5281/zenodo.16759863
title: ROSA and RSME Raw Data
DOI: 10.15468/dl.ckbes2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Mozambique",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024858-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvk8x6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteropus natalis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024862-250802193616735/datasets/export for details.
DOI: 10.15468/dl.hnv73c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteropus natalis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024863-250802193616735/datasets/export for details.
DOI: 10.15468/dl.k3zyr6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024860-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tn4ryz
title: Occurrence Download

description: A dataset containing 15625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15625 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024859-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecfd37
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteropus natalis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024861-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16759811
title: Angra dos Reis (Rio de Janeiro State, Brazil) dataset

description: This dataset contains geospatial raster layers used for landslide susceptibility mapping in Angra dos Reis, a coastal mountainous region in southeastern Brazil. The rasters represent a set of environmental, topographic, hydrological, and anthropogenic predictors that were used to model landslide-prone areas through spatial regression and spatial autocorrelation techniques
DOI: 10.5281/zenodo.16759812
title: Angra dos Reis (Rio de Janeiro State, Brazil) dataset

description: This dataset contains geospatial raster layers used for landslide susceptibility mapping in Angra dos Reis, a coastal mountainous region in southeastern Brazil. The rasters represent a set of environmental, topographic, hydrological, and anthropogenic predictors that were used to model landslide-prone areas through spatial regression and spatial autocorrelation techniques
DOI: 10.15468/dl.buz4kf
title: Occurrence Download

description: A dataset containing 425537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilotula penicillata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 425537 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024841-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chca3g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteropus natalis)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024866-250802193616735/datasets/export for details.