cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6spcasfgoso
title: IPCC DDC: CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP ssp534-over

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - 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. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CAS.FGOALS-g3.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 FGOALS-g3 climate model, released in 2017, includes the following components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6spcasfgos434
title: IPCC DDC: CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP ssp434

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - 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. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CAS.FGOALS-g3.ssp434' 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 FGOALS-g3 climate model, released in 2017, includes the following components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6spcasfgo
title: IPCC DDC: CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - 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. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CAS.FGOALS-g3' 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 FGOALS-g3 climate model, released in 2017, includes the following components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.8203061
title: gmastrantoni/MultiHazard: Multi-Risk Ranking for Ground Instabilities through Geohazards and InSAR Ground Motion Data Fusion to Enhance Urban Resilience

description: This release is a direct link with a Zenodo repository containing the input data.
DOI: 10.5281/zenodo.8203352
title: gmastrantoni/MultiHazard: Multi-Risk Ranking for Ground Instabilities through Geohazards and InSAR Ground Motion Data Fusion to Enhance Urban Resilience

description: This release is a direct link with a Zenodo repository containing the input data.
DOI: 10.6084/m9.figshare.23815776
title: References.docx

description: References
DOI: 10.5281/zenodo.8191924
title: SILAC - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Mass spec data SILAC for supplementary Figure 1A sheets related with this study are:<br> 2(H)+2(L) - shCTRL "heavy" vs shELP3 "light"<br> 4(H)+4(L) - shCTRL "heavy" vs shCTRL "light"
DOI: 10.5281/zenodo.8191923
title: SILAC - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Mass spec data SILAC for supplementary Figure 1A sheets related with this study are:<br> 2(H)+2(L) - shCTRL "heavy" vs shELP3 "light"<br> 4(H)+4(L) - shCTRL "heavy" vs shCTRL "light"
DOI: 10.26050/wdcc/ar6.c6spciiit
title: IPCC DDC: CCCR-IITM IITM-ESM model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - 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. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CCCR-IITM.IITM-ESM' 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 IITM-ESM climate model, released in 2015, includes the following components: aerosol: prescribed MAC-v2, atmos: IITM-GFSv1 (T62L64, Linearly Reduced Gaussian Grid; 192 x 94 longitude/latitude; 64 levels; top level 0.2 mb), land: NOAH LSMv2.7.1, ocean: MOM4p1 (tripolar, primarily 1deg; 360 x 200 longitude/latitude; 50 levels; top grid cell 0-10 m), ocnBgchem: TOPAZv2.0, seaIce: SISv1.0. The model was run by the Centre for Climate Change Research, Indian Institute of Tropical Meteorology Pune, Maharashtra 411 008, India (CCCR-IITM) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.8192004
title: LEPRE-1 interactome MS - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Mass Spec data for Figure 3C LEPRE-1 interactome
DOI: 10.5281/zenodo.8192003
title: LEPRE-1 interactome MS - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Mass Spec data for Figure 3C LEPRE-1 interactome
DOI: 10.11583/dtu.22617004.v1
title: Data for "Unveiling the plating-stripping mechanism in aluminum batteries with imidazolium-based electrolytes: A hierarchical model based on experiments and ab initio simulations"

description: Data underlying the paper "Unveiling the plating-stripping mechanism in aluminum batteries with imidazolium-based electrolytes: A hierarchical model based on experiments and ab initio simulations" https://doi.org/10.1016/j.cej.2023.144995 The dataset consists of the DFT data that underline the conclusions drawn from <i>ab initio</i> calculations in the paper.With the data located here and the plotting scripts (https://gitlab.com/asm-dtu/supporting-publication/unveiling-the-plating-stripping-mechanism-in-aluminum-batteries-with-imidazolium-based-electrolytes-a-hierarchical-model-based-on-experiments-and-ab-initio-simulations) it is possible to recreate the free energy diagram in the paper.
DOI: 10.5281/zenodo.8191845
title: Bulk RNA seq - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Bulk RNA seq data for Figure 1A performed in HT-29 cells triplicates for each condition: shCTRL (SHC1/2/3) & shLEPRE-1#5 (LS1/2/3)
DOI: 10.5281/zenodo.8191844
title: Bulk RNA seq - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Bulk RNA seq data for Figure 1A performed in HT-29 cells triplicates for each condition: shCTRL (SHC1/2/3) & shLEPRE-1#5 (LS1/2/3)
DOI: 10.5281/zenodo.8191996
title: BiP hydroxyproline MS - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Mass Spec data for Figure 10C identification of hydroxyproline at Proline 142 of BiP
DOI: 10.5281/zenodo.8191995
title: BiP hydroxyproline MS - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Mass Spec data for Figure 10C identification of hydroxyproline at Proline 142 of BiP
DOI: 10.6084/m9.figshare.23812830.v7
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.5281/zenodo.8205103
title: Data from: "What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study".

description: Data supporting the manuscript titled: "<strong>What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study?</strong>
DOI: 10.5281/zenodo.8205102
title: Data from: "What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study".

description: Data supporting the manuscript titled: "<strong>What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study?</strong>
DOI: 10.5523/bris.m9otxdltertz1zmk8jgmwmcxg
title: Data for Buckling-induced sound production in the aeroelastic tymbals of Yponomeuta

description: Supplementary data for the publication Buckling-induced sound production in the aeroelastic tymbals of Yponomeuta
DOI: 10.5517/ccdc.csd.cc27fzj6
title: CCDC 2069018: Experimental Crystal Structure Determination

description: Related Article: De-Xiang Zhang, Xing-Liang Chen, Wen-Juan Fan, Xiao-Fang Wang, Yu-Feng Li, Yan Jiang, Zhi-Qiang Jiang, Tian Wen|2023|Inorg.Chem.|62|11287|doi:10.1021/acs.inorgchem.3c01013
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: 10.25345/c5q23r96w
title: MassIVE MSV000092563 - Acetic acid is superior to formic acid as an acidifier in sub-nanogram and single cell proteomics
title: This work follows on Battellino et al., 2023 which described the use of 0.5% acetic acid in shotgun proteomics providing additional relative signal over 0.1% formic acid. In this study we performed repeated experiments with K562 serial dilutions down to 20 picogram on column with alternating between these two buffers on an EasyNLC 1200 instrument. We consistently obtain higher numbers of precursors, peptides and proteins when this is the only alteration in the study. In addition we find that with the extra signal obtained when using acetic acid, we can reduce the cycle time of each experiment allowing us to obtain more measurements across each peak at concentrations as low as 100 picogram peptide load on column using a default diaPASEF method on the TIMSTOF SCP. These experiments were repeated with single cells from two cancer cell lines with the same results.
DOI: 10.18712/nsd-nsd0957-2-v1
title: Income Study 2004, person file

description: Statistics Norway (SSB) conducted wide-ranging Income Studies in 1958, 1962, 1967, 1970, 1973, 1976, 1979 and 1982. As of 1984, SSB moved to a system of annual surveys. This entailed changes more in terms of sample size and sampling method than the type of information that was collected. The information is mainly decided by what is available in public tax assessment records.

The Income Studies should not be considered ordinary sample surveys, they are based on a sample drawn from registers from the Norwegian equivalent to the Internal Revenue Service. This means that foreign citizens would be part of the sample if they are registered in the Central Person Register, which they will normally be if they have valid work and residence permits. Children born during the year in question will be included in the sample regardless of birth date, and so will people who died that the year.

The objective of the Income Studies have been to elucidate the income conditions for the entire population and for different groups. A main point is to gather statistics on households (defined as people who live and eat together), as well as getting an overview of the distribution of persons and households by size of income, socio-economic groups, household type, geography etc. Another objective is to collect income and fortune data as a backdrop for the Level of Living and Consumer surveys. Information is gathered on all types of income, fortune, taxes, income for individuals and households. Some information is added from other registers (amongst others, marital status and family composition), whilst information on household composition is gathered through interviews. In addition, one generally includes information on education, profession and occupation for individuals, and composition, type and primary income recipients for the households. 

There exist both a household file and a person file. These are documented separately. This is the person file for 2004.
DOI: 10.5281/zenodo.8205137
title: Experimental files for Investigation of low temperature plasmas formed in low density gases surrounding laser produced plasmas

description: Temporal and spectral investigation of plasmas produced by interaction of laser pulses, with gaseous mixtures, was performed. The interaction took place inside a small portion of dense gas mixture injected temporarily into a chamber filled with the same mixture under low pressure. High-temperature plasmas produced directly by the laser pulse were a source of soft x rays and charged particles, ionizing and exciting the surrounding gas. In this way, low-temperature plasmas were produced. The formation of low-temperature plasmas was studied using optical spectroscopy and streak imaging. The experimental data.zip file contains the experimental data from an optical spectrograph and optical streak camera. Work supported by the National Science Centre, Poland, grant agreement no. 2020/39/B/ST2/00509
DOI: 10.5281/zenodo.8205136
title: Experimental files for Investigation of low temperature plasmas formed in low density gases surrounding laser produced plasmas

description: Temporal and spectral investigation of plasmas produced by interaction of laser pulses, with gaseous mixtures, was performed. The interaction took place inside a small portion of dense gas mixture injected temporarily into a chamber filled with the same mixture under low pressure. High-temperature plasmas produced directly by the laser pulse were a source of soft x rays and charged particles, ionizing and exciting the surrounding gas. In this way, low-temperature plasmas were produced. The formation of low-temperature plasmas was studied using optical spectroscopy and streak imaging. The experimental data.zip file contains the experimental data from an optical spectrograph and optical streak camera. Work supported by the National Science Centre, Poland, grant agreement no. 2020/39/B/ST2/00509
DOI: 10.5281/zenodo.6838483
title: Experimental data: Low-velocity out-of-plane impact tests on double-wythe unreinforced brick masonry walls instrumented with optical measurements

description: This dataset includes the results of laboratory impact tests conducted on natural-scale double-wythe unreinforced brick masonry walls. The walls were spanning vertically between two reinforced concrete slabs and were subjected to low-velocity drop-weight pendulum tests in which they were repeatedly hit until the opening of a breach in the center of the wall. The tests were instrumented with both hard-wired and optical measurements, the latter consisting of high-speed cameras and digital image correlation techniques. Investigated in these tests were the out-of-plane response of the walls and their capacity to resist the impacts. The axial load applied on the top of the walls was varied for two wall configurations and monitored throughout the tests to study the effect of arching on the failure mechanism produced and number of repeated hits needed to open the breach. Of interest was also the evidence of cracking, more specifically the way it initiated on the undamaged walls and next propagated upon consecutive hits. The data generated from the tests is made here available and documented to support further investigations on masonry structures subjected to extreme actions. The dataset includes four ZIP files, ordered from 01 to 05, along with an auxiliary PDF document describing the content and organization of the data. Test implementation and test results that are built upon this data are presented and discussed in the following research article: Godio M, Flansbjer M, Williams Portal N (2023) Low-velocity out-of-plane impact tests on double-wythe unreinforced brick masonry walls instrumented with optical measurements, International Journal of Impact Engineering To cite this data in your work please refer to the article. The Authors
description: COPYRIGHT 2022 RISE Research Institutes of Sweden. THIS MATERIAL IS LICENCED UNDER THE CREATIVE COMMONS ATTRIBUTION-SHAREALIKE 4.0 INTERNATIONAL (CC BY-SA 4.0).
DOI: 10.6084/m9.figshare.23815926
title: supplemental tables S2_patients data_no_missing_data.xlsx

description: AKI DATA
DOI: 10.6084/m9.figshare.23815926.v1
title: supplemental tables S2_patients data_no_missing_data.xlsx

description: AKI DATA