cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/cmip5.bcb1pc
title: bcc-csm1-1 model output prepared for CMIP5 piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.bcbmpc
title: bcc-csm1-1-m model output prepared for CMIP5 piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.cmc1pc
title: CMCC-CESM model output prepared for CMIP5 pre-industrial control, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.ipibpc
title: IPSL-CM5B-LR model output prepared for CMIP5 piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.ipilpc
title: IPSL-CM5A-LR model output prepared for CMIP5 piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.mxelpc
title: CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model: The piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.ngegpc
title: NOAA GFDL GFDL-ESM2G, piControl experiment output for CMIP5 AR5, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.17188/1350374
title: Materials Data on SiC2 by Materials Project

description: SiC2 crystallizes in the tetragonal P4_2/mmc space group. The structure is three-dimensional. Si4+ is bonded to four equivalent C2- atoms to form corner-sharing SiC4 tetrahedra. All Si–C bond lengths are 1.90 Å. C2- is bonded in a trigonal planar geometry to two equivalent Si4+ and one C2- atom. The C–C bond length is 1.37 Å.
DOI: 10.21227/65x6-2f13
title: Travel time data of Chengdu road network

description: This dataset contains road network information of Chengdu with travel time data during four time slots: weekday peak hour, weekday off-peak hour, weekend peak hour and weekend off-peak hour.
DOI: 10.26022/ieda/112323
title: Garnet/melt partition coefficient experiments v. 2

description: This updated dataset presents compiled experimental mineral/melt partitioning data for garnet from the literature (e.g. no unpublished collections). This dataset can help users to calculate differentiation scenarios (by sorting for compositions that match the system of interest), test models or create calibration datasets for models, and facilitate experimental design and data management plans. The format of the data is oriented vertically – each column represents the data from one published experiment – including experimental conditions, source publication, analytical techniques and the composition of the starting composition, liquid, mineral or fluid and the partition coefficient for the elements analyzed. This format is inclusive, and therefore complex, and care should be taken in processing the data from this raw form. Please see the “Readme" tab for further explanations and instructions. This data is presented in the traceDs template, a format for documenting experimental data that is available on the EarthChem website for investigator use. If you find errors in the data transcription or any omissions please contact Roger Nielsen or Gokce Ustunisik (roger.nielsen@sdsmt.edu; gokce.ustunisik@sdsmt.edu) with details of the error or a copy of the paper to be added.
description: Nielsen, R. L., G. Ustunisik, A. B. Weinsteiger, F. J. Tepley III, A. D. Johnston, and A. J. R. Kent (2017), Trace element partitioning between plagioclase and melt: An investigation of the impact of experimental and analytical procedures, Geochem. Geophys. Geosyst., 18 Nielsen, R. L., M. Ghiorso, and T. Trishmann (2015), traceDs: What we have learned about the existing trace element partitioning data during the population phase, Abstract V33C-3119 presented at 2015 Fall Meeting, AGU, San Francisco, Calif.
DOI: 10.26022/ieda/112324
title: Amphibole/melt partition coefficient experiments v. 2

description: This updated dataset presents compiled experimental mineral/melt partitioning data for amphibole from the literature (e.g. no unpublished collections). This dataset can help users to calculate differentiation scenarios (by sorting for compositions that match the system of interest), test models or create calibration datasets for models, and facilitate experimental design and data management plans. The format of the data is oriented vertically – each column represents the data from one published experiment – including experimental conditions, source publication, analytical techniques and the composition of the starting composition, liquid, mineral or fluid and the partition coefficient for the elements analyzed. This format is inclusive, and therefore complex, and care should be taken in processing the data from this raw form. Please see the “Readme" tab for further explanations and instructions. This data is presented in the traceDs template, a format for documenting experimental data that is available on the EarthChem website for investigator use. If you find errors in the data transcription or any omissions please contact Roger Nielsen or Gokce Ustunisik (roger.nielsen@sdsmt.edu; gokce.ustunisik@sdsmt.edu) with details of the error or a copy of the paper to be added.
description: Nielsen, R. L., G. Ustunisik, A. B. Weinsteiger, F. J. Tepley III, A. D. Johnston, and A. J. R. Kent (2017), Trace element partitioning between plagioclase and melt: An investigation of the impact of experimental and analytical procedures, Geochem. Geophys. Geosyst., 18. Nielsen, R. L., M. Ghiorso, and T. Trishmann (2015), traceDs: What we have learned about the existing trace element partitioning data during the population phase, Abstract V33C-3119 presented at 2015 Fall Meeting, AGU, San Francisco, Calif.
DOI: 10.26022/ieda/112325
title: Clinopyroxene/melt partition coefficient experiments v. 2

description: This updated dataset presents compiled experimental mineral/melt partitioning data for clinopyroxene from the literature (e.g. no unpublished collections). This dataset can help users to calculate differentiation scenarios (by sorting for compositions that match the system of interest), test models or create calibration datasets for models, and facilitate experimental design and data management plans. The format of the data is oriented vertically – each column represents the data from one published experiment – including experimental conditions, source publication, analytical techniques and the composition of the starting composition, liquid, mineral or fluid and the partition coefficient for the elements analyzed. This format is inclusive, and therefore complex, and care should be taken in processing the data from this raw form. Please see the “Readme" tab for further explanations and instructions. This data is presented in the traceDs template, a format for documenting experimental data that is available on the EarthChem website for investigator use. If you find errors in the data transcription or any omissions please contact Roger Nielsen or Gokce Ustunisik (roger.nielsen@sdsmt.edu; gokce.ustunisik@sdsmt.edu) with details of the error or a copy of the paper to be added.
description: Nielsen, R.L., Ustunisik, G.U., Weinsteiger, A. W., Kent, A.J., Tepley, F.S., 2017, The trace element diversity of anorthitic MORB plagioclase and their associated melt inclusions, Geochem. Geophys. Geosyst.
DOI: 10.26033/ewy3-jy61
title: Saturn Small Moon Shape Models Bundle V1.0

description: Digital shape models have been constructed from Cassini Imaging Science Subsystem (ISS) data for eleven of the small satellites of Saturn and delivered to the Planetary Data System. These satellites are: Pan, Daphnis, Atlas, Prometheus, Pandora, Epimetheus, Janus, Telesto, Calypso, Helene, and Hyperion. These models typically have uncertainties well under 0.5 km. They are appropriate for global geometric, geologic, and geophysical studies, and regional slope and topography study. They are useful in studying morphologies of only the relatively largest-sized craters. Studies based on early versions of these shape models are in Thomas et al., 2013.
DOI: 10.5066/p14hv5xd
title: Greater Sage Grouse Encounter Histories in Modoc County, California 2019 - 2021

description: The greater sage-grouse (Centrocercus urophasianus: hereafter; sage-grouse) population in Modoc County California is geographically isolated and has been subsidized by translocation to prevent inbreeding depression since 2005. Despite significant efforts to increase the population through translocations and habitat improvement by cutting encroaching western juniper (Juniperus occidentalis), only a single lek remains (from 56 in the 1940s). Since 2017, several large wildfires have occurred within the landscape that led to an increase in invasive grasses and a decrease in sagebrush (Artemisia sp.) cover that has further degraded important nesting and brooding habitat. The data collected consists of monthly encounter histories for adult females, bi-weekly enounter histories for broods, and daily encounter histories for nests from 2019 - 2021.
DOI: 10.5281/zenodo.10159290
title: SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark

description: This is a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 MRI series from 218 studies of 218 patients with a history of low back pain. The data was collected from four different hospitals. There is an additional hidden test set, not available here, used in the accompanying SPIDER challenge on spider.grand-challenge.org. We share this data to encourage wider participation and collaboration in the field of spine segmentation, and ultimately improve the diagnostic value of lumbar spine MRI.

Which MRI studies are assigned to the training and validation sets can be found in the overview file. This file also provides the biological sex for all patients and the age for the patients for which this was available. It also includes a number of scanner and acquisition parameters for each individual MRI study. The dataset also comes with radiological gradings found in a separate file for the following degenerative changes:

1.    Modic changes (type I, II or III)

2.    Upper and lower endplate changes / Schmorl nodes (binary)

3.    Spondylolisthesis (binary)

4.    Disc herniation (binary)

5.    Disc narrowing (binary)

6.    Disc bulging (binary)

7.    Pfirrman grade (grade 1 to 5). 

All radiological gradings are provided per IVD level.

This dataset, and the associated public benchmark, are described in this paper: https://www.nature.com/articles/s41597-024-03090-w

The public segmenation challenge can be found here: https://spider.grand-challenge.org/

 

When using this dataset, please cite this dataset with the correct DOI, and also cite the afformentioned paper.
DOI: 10.5519/qd.hj3arf8k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5504287 records)