cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kjh2ue
title: Occurrence Download

description: A dataset containing 6996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Salvia azurea",
 "Year 1897-2025"
 ]
}

 The dataset includes 6996 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048117-250811113504898/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/14537192
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18289607
title: Nassella subnitida (Roseng. & B.R.Arrill.) Barkworth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289608
title: Nassella subnitida (Roseng. & B.R.Arrill.) Barkworth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.15468/dl.edsj5q
title: Occurrence Download

description: A dataset containing 1376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudotsuga macrocarpa",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 1376 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017882-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18289611
title: Nassella tenuiculmis (Hack.) Peñail. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289612
title: Nassella tenuiculmis (Hack.) Peñail. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289613
title: Nassella torquata (Speg.) Barkworth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289614
title: Nassella torquata (Speg.) Barkworth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.15468/dl.xbzfts
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Huperzia chinensis"
 ]
}

 The dataset includes 420 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017883-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2m57rt
title: CCDC 2418116: Experimental Crystal Structure Determination

description: Related Article: Subrata Dhara, Nabajyoti Baildya, Kumaresh Ghosh|2025|Chem.Asian J.|21|e70397|doi:10.1002/asia.70397
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m6hs4
title: CCDC 2419326: Experimental Crystal Structure Determination

description: Related Article: Subrata Dhara, Nabajyoti Baildya, Kumaresh Ghosh|2025|Chem.Asian J.|21|e70397|doi:10.1002/asia.70397
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m8xnh
title: CCDC 2421647: Experimental Crystal Structure Determination

description: Related Article: Subrata Dhara, Nabajyoti Baildya, Kumaresh Ghosh|2025|Chem.Asian J.|21|e70397|doi:10.1002/asia.70397
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n2kcp
title: CCDC 2445322: Experimental Crystal Structure Determination

description: Related Article: Subrata Dhara, Nabajyoti Baildya, Kumaresh Ghosh|2025|Chem.Asian J.|21|e70397|doi:10.1002/asia.70397
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n2kfr
title: CCDC 2445324: Experimental Crystal Structure Determination

description: Related Article: Subrata Dhara, Nabajyoti Baildya, Kumaresh Ghosh|2025|Chem.Asian J.|21|e70397|doi:10.1002/asia.70397
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n2kgs
title: CCDC 2445325: Experimental Crystal Structure Determination

description: Related Article: Subrata Dhara, Nabajyoti Baildya, Kumaresh Ghosh|2025|Chem.Asian J.|21|e70397|doi:10.1002/asia.70397
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18289542
title: Datasets for T. Latychevskaia, "Coherent imaging with low-energy electrons,quantitative analysis", Ultramicroscopy 253, 113807, 2023, https://doi.org/10.1016/j.ultramic.2023.113807

description: Datasets for T. Latychevskaia, "Coherent imaging with low-energy electrons,quantitative analysis", Ultramicroscopy 253, 113807, 2023, https://doi.org/10.1016/j.ultramic.2023.113807
DOI: 10.5281/zenodo.18289541
title: Datasets for T. Latychevskaia, "Coherent imaging with low-energy electrons,quantitative analysis", Ultramicroscopy 253, 113807, 2023, https://doi.org/10.1016/j.ultramic.2023.113807

description: Datasets for T. Latychevskaia, "Coherent imaging with low-energy electrons,quantitative analysis", Ultramicroscopy 253, 113807, 2023, https://doi.org/10.1016/j.ultramic.2023.113807
DOI: 10.5281/zenodo.18289621
title: Nassella trichotoma (Nees) Hack. ex Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289622
title: Nassella trichotoma (Nees) Hack. ex Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289628
title: Nasturtium W.T.Aiton. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289629
title: Nasturtium W.T.Aiton. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.15468/dl.2mjnrh
title: Occurrence Download

description: A dataset containing 155238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galinsoga quadriradiata"
 ]
}

 The dataset includes 155238 records from 1125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017842-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx2rf4
title: Occurrence Download

description: A dataset containing 1549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalaria ochroleuca"
 ]
}

 The dataset includes 1549 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017884-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9bnus
title: Occurrence Download

description: A dataset containing 39751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sri Lanka",
 "Geometry POLYGON((62.35277 -0.25579,98.64723 -0.25579,98.64723 14.25579,62.35277 14.25579,62.35277 -0.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 39751 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017885-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5dzw4
title: Occurrence Download

description: A dataset containing 5387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudotsuga menziesii glauca",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 5387 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017887-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj6ceu
title: Occurrence Download

description: A dataset containing 65993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.17658 35.96387,-5.07094 35.9558,-4.58287 36.90147,-6.12677 37.41746,-6.8041 36.85367,-6.17658 35.96387))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 65993 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017880-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18289645
title: Nectandra Rol. ex Rottb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289644
title: Nectandra Rol. ex Rottb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.18289655
title: Nasturtium officinale W.T.Aiton. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:50
DOI: 10.5281/zenodo.4071053
title: Data from: Premature birth affects visual body representation and body schema in preterm children

description: Raw data used for the article "Premature birth affects visual body representation and body schema in preterm children"


Research has demonstrated that from the first six months of life infants show early sensitivity to body visual features and rely on sensorimotor and  proprioceptive inputs in forming representations of their own bodies. Premature birth interferes with typical exposition to visual, sensorimotor and proprioceptive stimulation, thus presumably affecting the development of body representations. Here, we tested this hypothesis by comparing the performance of preterm children with that of age-matched full-term children in two tasks assessing, respectively, visual body processing and body schema. We found that preterm children had spared configural processing but altered holistic processing of others’ bodies and showed a general difficulty in expressing visuospatial judgements on body stimuli. Furthermore, body-centered visuospatial abilities were associated with specific impairments in operating object-based visuospatial transformations. The findings of this study indicate that preterm birth might interfere with the development of body  representations at the levels of body visual perceptual processing and of body schema, with effects even on visuo-spatial abilities for non-bodily stimuli. Body-centered rehabilitative interventions should be proposed to preterm children in order to enhance visuo-spatial abilities and higher-level cognitive functions.
description: This work was supported by Italian Ministry of Health [Ricerca
Corrente "2015–2017", to C.U.]. The funder had no role in study design,
data collection and analysis, decision to publish, or preparation of
the manuscript.
DOI: 10.5281/zenodo.4071054
title: Data from: Premature birth affects visual body representation and body schema in preterm children

description: Raw data used for the article "Premature birth affects visual body representation and body schema in preterm children"


Research has demonstrated that from the first six months of life infants show early sensitivity to body visual features and rely on sensorimotor and  proprioceptive inputs in forming representations of their own bodies. Premature birth interferes with typical exposition to visual, sensorimotor and proprioceptive stimulation, thus presumably affecting the development of body representations. Here, we tested this hypothesis by comparing the performance of preterm children with that of age-matched full-term children in two tasks assessing, respectively, visual body processing and body schema. We found that preterm children had spared configural processing but altered holistic processing of others’ bodies and showed a general difficulty in expressing visuospatial judgements on body stimuli. Furthermore, body-centered visuospatial abilities were associated with specific impairments in operating object-based visuospatial transformations. The findings of this study indicate that preterm birth might interfere with the development of body  representations at the levels of body visual perceptual processing and of body schema, with effects even on visuo-spatial abilities for non-bodily stimuli. Body-centered rehabilitative interventions should be proposed to preterm children in order to enhance visuo-spatial abilities and higher-level cognitive functions.
description: This work was supported by Italian Ministry of Health [Ricerca
Corrente "2015–2017", to C.U.]. The funder had no role in study design,
data collection and analysis, decision to publish, or preparation of
the manuscript.
DOI: 10.15468/dl.ru9gka
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Winteria Brauer, 1901",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((17.9648 28.8496,8.9648 28.8496,8.9648 19.8496,17.9648 19.8496,17.9648 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009053-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29190194
title: Figure2d.nc

description: Climate change attribution study.
DOI: 10.6084/m9.figshare.29190194.v1
title: Figure2d.nc

description: Climate change attribution study.
DOI: 10.3886/e231411
title: Replication data for: The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction

description: We estimate the causal effects of acute fine particulate matter exposure on mortality, health care use, and medical costs among the US elderly using Medicare data. We instrument for air pollution using changes in local wind direction and develop a new approach that uses machine learning to estimate the life-years lost due to pollution exposure. Finally, we characterize treatment effect heterogeneity using both life expectancy and generic machine learning inference. Both approaches find that mortality effects are concentrated in about 25 percent of the elderly population.
DOI: 10.3886/e231411v1
title: Replication data for: The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction

description: We estimate the causal effects of acute fine particulate matter exposure on mortality, health care use, and medical costs among the US elderly using Medicare data. We instrument for air pollution using changes in local wind direction and develop a new approach that uses machine learning to estimate the life-years lost due to pollution exposure. Finally, we characterize treatment effect heterogeneity using both life expectancy and generic machine learning inference. Both approaches find that mortality effects are concentrated in about 25 percent of the elderly population.
DOI: 10.22033/esgf/cmip6.5767
title: MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP ssp534-over

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.MIROC.MIROC-ES2L.ssp534-over' 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 MIROC-ES2L climate model, released in 2018, includes the following components:
 aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. 
The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 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/cmip6.3412
title: CAS CAS-ESM1.0 model output prepared for CMIP6 OMIP omip1

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.OMIP.CAS.CAS-ESM2-0.omip1' 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 CAS-ESM 2.0 (Chinese Academy of Sciences Earth System Model version 2.0) climate model, released in 2019, includes the following components:
 aerosol: IAP AACM, atmos: IAP AGCM 5.0 (Finite difference dynamical core; 256 x 128 longitude/latitude; 35 levels; top level 2.2 hPa), atmosChem: IAP AACM, land: CoLM, ocean: LICOM2.0 (LICOM2.0, primarily 1deg; 362 x 196 longitude/latitude; 30 levels; top grid cell 0-10 m), ocnBgchem: IAP OBGCM, seaIce: CICE4. 
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 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: 10.5281/zenodo.15363818
title: High-throughput qPCR VITALBIENE
DOI: 10.5281/zenodo.15363819
title: High-throughput qPCR VITALBIENE