cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2582177
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from pDSSAT spring wheat simulations

description: This data set contains output data from simulations with the model pDSSAT for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').
DOI: 10.5281/zenodo.2582178
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from pDSSAT spring wheat simulations

description: This data set contains output data from simulations with the model pDSSAT for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').
DOI: 10.5281/zenodo.2581356
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations

description: This data set contains output data from simulations with the model LPJmL for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, plant day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581624
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJ-GUESS maize simulations

description: This data set contains output data from simulations with the model LPJ-GUESS for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above groun biomass, plant day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simlations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581625
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJ-GUESS maize simulations

description: This data set contains output data from simulations with the model LPJ-GUESS for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above groun biomass, plant day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simlations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581637
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJ-GUESS winter wheat simulations

description: This data set contains output data from simulations with the model LPJ-GUESS for winter wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above groun biomass, plant day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simlations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581638
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJ-GUESS winter wheat simulations

description: This data set contains output data from simulations with the model LPJ-GUESS for winter wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above groun biomass, plant day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simlations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581639
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJ-GUESS spring wheat simulations

description: This data set contains output data from simulations with the model LPJ-GUESS for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above groun biomass, plant day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simlations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581640
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJ-GUESS spring wheat simulations

description: This data set contains output data from simulations with the model LPJ-GUESS for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above groun biomass, plant day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simlations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2582111
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from pDSSAT maize simulations

description: This data set contains output data from simulations with the model pDSSAT for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').
DOI: 10.5281/zenodo.2581436
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations

description: This data set contains output data from simulations with the model LPJmL for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, plant day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581498
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations

description: This data set contains output data from simulations with the model LPJmL for soybean as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, plant day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581565
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations

description: This data set contains output data from simulations with the model LPJmL for winter wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.5281/zenodo.2581606
title: AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations

description: This data set contains output data from simulations with the model LPJmL for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A= 'none', 'regain original growing season').
DOI: 10.25919/5c975a0b2a1dd
title: Parkes observations for project P456 semester 2018OCTS_33

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days at three different wavelengths. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.25919/5c975a3f589d9
title: Parkes observations for project P1000 semester 2018OCTS_08

description: Hot subdwarf (sdB) stars are core-helium burning stars with thin hydrogen envelopes and masses around 0.5 Msun.  A large fraction of sdBs are members of short-period binaries with periods below a few days. Orbital shrinkage through a common envelope phase is the only likely formation channel for such short-period sdB binaries. 
Although most of the companions are low mass main sequence stars or white dwarfs, one proposed evolutionary channel produces an sdB with a recycled pulsar companion where the pulsar forms after two common envelope phases and a short X-ray binary phase. Theoretical models predict that about 1% of the compact sdB binaries should have pulsar companions. 
So far no pulsar companion to an sdB has yet been detected unambiguously whereas six candidates have been identified. Here we propose 13.5 hrs of observing time to conduct a deep search for radio pulsars around four candidate sdB+pulsar systems which are accessible with Parkes. A detection would (a) be the first time a pulsar bound to an sdB star has been detected, confirming the efficacy of the predicted binary-evolution channel; and (b) allow for an accurate estimate of the sdB mass, testing models for these enigmatic stars.
DOI: 10.5281/zenodo.2603125
title: Inference of Feature Mappings from Class Mappings

description: Provides mapping models as transformation definitions for two cases (Library2Library and UML2Component). In particular, the provided mappings models act as a reference for the inference of feature mappings from class mapping. The dataset also includes input and output models for the execution of transformations.
DOI: 10.5281/zenodo.2603126
title: Inference of Feature Mappings from Class Mappings

description: Provides mapping models as transformation definitions for two cases (Library2Library and UML2Component). In particular, the provided mappings models act as a reference for the inference of feature mappings from class mapping. The dataset also includes input and output models for the execution of transformations.
DOI: 10.17632/9v53cbx5t8.1
title: Data for: Land Use Change Alters the Radiocarbon Age and Composition of Soil and Water-Soluble Organic Matter in the Brazilian Cerrado

description: The complete raw dataset of a study examining contrasting land uses (Eucalyptus plantations and native Cerrado forest) in Sao Paulo State, Brazil. The dataset includes information on the liquid and solid phases of soil organic matter, including C and N concentration, 1H NMR characteristics (for liquid phase), radiocarbon signatures (both solid and liquid phases), and microbial biomass. Additional data including raw NMR (for liquid phase) and FTIR (for solid phase) spectra are available upon request of the corresponding author. Fluorescence spectroscopy was used to characterize the water extractable samples (not reported in this manuscript), and excitation-emission matrices (EEMs) data for these samples is also available upon request.
DOI: 10.17632/fnh8t2mcf2.1
title: Data for: Land Use Change Alters the Radiocarbon Age and Composition of Soil and Water-Soluble Organic Matter in the Brazilian Cerrado

description: Dataset documenting two paired-sites covered by either native Cerrado forest or Eucalyptus plantations in Sao Paulo State Brazil. Dataset contains information on soil C and N, K2SO4 extractions (water soluble organic matter (WSOM)), WSOM biodegradability, radiocarbon age of bulk soil and WSOM, 1H NMR characteristics of WSOM, indices from FTIR spectra of bulk soil samples, and microbial biomass.
DOI: 10.5281/zenodo.2604460
title: FT34 Tuerlinckx (2) 5-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT34 Tuerlinckx 5-key tenoroon containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.2604461
title: FT34 Tuerlinckx (2) 5-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT34 Tuerlinckx 5-key tenoroon containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.2604476
title: FT33 Tuerlinckx (1) 4-key fagottino: measurements, photos, endoscopic video

description: Dataset of FT33 Tuerlinckx (1) 4-key fagottino containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.2604477
title: FT33 Tuerlinckx (1) 4-key fagottino: measurements, photos, endoscopic video

description: Dataset of FT33 Tuerlinckx (1) 4-key fagottino containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5517/ccdc.csd.cc21bfys
title: CCDC 1886875: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2019|Inorg.Chem.|58|5273|doi:10.1021/acs.inorgchem.9b00360
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.cc21bfzt
title: CCDC 1886876: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2019|Inorg.Chem.|58|5273|doi:10.1021/acs.inorgchem.9b00360
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.cc21bg0w
title: CCDC 1886877: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2019|Inorg.Chem.|58|5273|doi:10.1021/acs.inorgchem.9b00360
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.cc21bg1x
title: CCDC 1886878: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2019|Inorg.Chem.|58|5273|doi:10.1021/acs.inorgchem.9b00360
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.cc21bg2y
title: CCDC 1886879: Experimental Crystal Structure Determination

description: Related Article: Alexandra C. Brown, Daniel L. M. Suess|2019|Inorg.Chem.|58|5273|doi:10.1021/acs.inorgchem.9b00360
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.cc20z7w4
title: CCDC 1876116: Experimental Crystal Structure Determination

description: Related Article: Lianyan Jiang, Nana Wu, Qian Li, Jia Li, Dapeng Wu, Yanshuo Li|2019|Inorg.Chem.|58|4080|doi:10.1021/acs.inorgchem.9b00298
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.cc21csw3
title: CCDC 1888175: Experimental Crystal Structure Determination

description: Related Article: Wilson D. Bailey, Nicole L. Gagnon, Courtney E. Elwell, Anna C. Cramblitt, Caitlin J. Bouchey, William B. Tolman|2019|Inorg.Chem.|58|4706|doi:10.1021/acs.inorgchem.9b00090
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.