cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1403194
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: EPIC-IIASA wheat

description: This is model output from EPIC-IIASA for wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403198
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: EPIC-IIASA rice

description: This is model output from EPIC-IIASA for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5517/ccdc.csd.cc1qcd6p
title: CCDC 1589872: Experimental Crystal Structure Determination

description: Related Article: Alyssa K. Adcock, Bradley Gibbons, Jeffrey D. Einkauf, Jeffery A. Bertke, J. Faye Rubinson, Daniel T. de Lill, Karah E. Knope|2018|Dalton Trans.|47|13419|doi:10.1039/C8DT02920B
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.cc1zdz5j
title: CCDC 1829718: Experimental Crystal Structure Determination

description: Related Article: Hai-Lou Li, Ya-Jie Liu, Ya-Min Li, Li-Juan Chen, Jun-Wei Zhao, Guo-Yu Yang|2018|Chem.Asian J.|13|2897|doi:10.1002/asia.201801010
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.cc1zdz6k
title: CCDC 1829719: Experimental Crystal Structure Determination

description: Related Article: Hai-Lou Li, Ya-Jie Liu, Ya-Min Li, Li-Juan Chen, Jun-Wei Zhao, Guo-Yu Yang|2018|Chem.Asian J.|13|2897|doi:10.1002/asia.201801010
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.cc1zdz7l
title: CCDC 1829720: Experimental Crystal Structure Determination

description: Related Article: Hai-Lou Li, Ya-Jie Liu, Ya-Min Li, Li-Juan Chen, Jun-Wei Zhao, Guo-Yu Yang|2018|Chem.Asian J.|13|2897|doi:10.1002/asia.201801010
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.cc1zl3pc
title: CCDC 1834663: Experimental Crystal Structure Determination

description: Related Article: Xinlei Liu,  Weiwei Wang,  Yu Zhao,  Daowan Lai,  Ligang Zhou,  Zhilong Liu,  and Mingan Wang|2018|J.Nat.Prod.|81|1803|doi:10.1021/acs.jnatprod.8b00258
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.cc1zlgkl
title: CCDC 1835000: Experimental Crystal Structure Determination

description: Related Article: Maja Djukić, Marija S. Jeremić, Ratomir Jelić, Olivera Klisurić, Vesna Kojić, Dimitar Jakimov, Predrag Djurdjević, Zoran D. Matović|2018|Inorg.Chim.Acta|483|359|doi:10.1016/j.ica.2018.08.031
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.cc1zlglm
title: CCDC 1835001: Experimental Crystal Structure Determination

description: Related Article: Maja Djukić, Marija S. Jeremić, Ratomir Jelić, Olivera Klisurić, Vesna Kojić, Dimitar Jakimov, Predrag Djurdjević, Zoran D. Matović|2018|Inorg.Chim.Acta|483|359|doi:10.1016/j.ica.2018.08.031
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: 10.3886/e105864v1
title: Low-wage Atlas

description: SAS code used to produce descriptive statistics for Low-wage Atlas. These include demographics of low-wage workers by state. Program is run on American Community Survey 1% sample data.
DOI: 10.5281/zenodo.1403196
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: EPIC-IIASA soy

description: This is model output from EPIC-IIASA for soy as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403202
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: EPIC-IIASA maize

description: This is model output from EPIC-IIASA for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403206
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: PEPIC soy

description: This is model output from PEPIC for soy as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
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DOI: 10.25405/data.ncl.23541588
title: Experienced therapists transcripts

description: Experienced therapist participant responses to interviews. Participants were asked to rate the importance of putative metacompetencies and competencies in 4 different clinically complex hypothetical scenarios. Participants also verball recorded how they would respond to each scenario. These recordings have been sent to the supervisors
DOI: 10.25405/data.ncl.23541588.v1
title: Experienced therapists transcripts

description: Experienced therapist participant responses to interviews. Participants were asked to rate the importance of putative metacompetencies and competencies in 4 different clinically complex hypothetical scenarios. Participants also verball recorded how they would respond to each scenario. These recordings have been sent to the supervisors
DOI: 10.57745/gdrmat
title: 0000008646.tif
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DOI: 10.57745/fykqwr
title: 0000008660.tif
DOI: 10.25405/data.ncl.23541654.v1
title: Recently qualified transcripts

description: Recently qualified participant responses to interviews. Participants were asked to rate the importance of putative metacompetencies and competencies in 4 different clinically complex hypothetical scenarios. Participants also verball recorded how they would respond to each scenario. These recordings have been sent to the supervisors
DOI: 10.57745/f6bsa5
title: 0000008661.tif
DOI: 10.25405/data.ncl.23541654
title: Recently qualified transcripts

description: Recently qualified participant responses to interviews. Participants were asked to rate the importance of putative metacompetencies and competencies in 4 different clinically complex hypothetical scenarios. Participants also verball recorded how they would respond to each scenario. These recordings have been sent to the supervisors
DOI: 10.57745/og4ali
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DOI: 10.25405/data.ncl.23541663
title: Trainee transcripts

description: Trainee participant responses to interviews. Participants were asked to rate the importance of putative metacompetencies and competencies in 4 different clinically complex hypothetical scenarios. Participants also verball recorded how they would respond to each scenario. These recordings have been sent to the supervisors
DOI: 10.25405/data.ncl.23541663.v1
title: Trainee transcripts

description: Trainee participant responses to interviews. Participants were asked to rate the importance of putative metacompetencies and competencies in 4 different clinically complex hypothetical scenarios. Participants also verball recorded how they would respond to each scenario. These recordings have been sent to the supervisors
DOI: 10.57745/nlqdlr
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DOI: 10.25405/data.ncl.23541702
title: Participant data

description: Demographic data for all 58 participants. Demographics include; location, age, nationality, accredation info, years of CBT experience, core profession. The years of experience determines which of the 3 groups participants were in; trainees (&lt;4 years), recently qualified (5-10 years), experienced (11+ years). Participant response ratings for all scenarios. Ratings from 0 - 4 (0 = defintely not important, 1 = likely not to be important, 3 = likely to be important, 4 = definitely important). Participants rated how important each CBT skill would be in each scenario. MC ratings indicate scores for the putative meta-competencies, C ratings indiate scores for competencies.